Multi-hypothesis measurement configuration in RF sensing

Abstract

Apparatus and methods for multi-hypothesis measurement configuration in RF sensing are described. An apparatus is configured to receive a sensing configuration from a sensing entity, wherein the sensing configuration indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; the apparatus is further configured to measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The apparatus is further configured to transmit, for the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims the benefit of U.S. non-provisional patent application serial number 18 / 186,692, filed on March 20, 2023, entitled “MULTI-HYPOTHESIS MEASUREMENT CONFIGURATION IN RF SENSING,” which is expressly incorporated herein by reference in its entirety. Technical Field

[0003] The present disclosure relates generally to communication systems, and more particularly to wireless communications utilizing sensing. Background Art

[0004] Wireless communication systems are widely deployed to provide a variety of telecommunication services, such as telephony, video, data, messaging, and broadcasts. Typical wireless communication systems employ multiple-access technologies capable of supporting communication with multiple users by sharing available system resources. Examples of such multiple-access technologies include code division multiple access (CDMA), time division multiple access (TDMA), frequency division multiple access (FDMA), orthogonal frequency division multiple access (OFDMA), single-carrier frequency division multiple access (SC-FDMA), and time division synchronous code division multiple access (TD-SCDMA).

[0005] These multiple-access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different wireless devices to communicate at the city, national, regional, and even global levels. An example telecommunication standard is 5G New Radio (NR). 5G NR is part of the ongoing mobile broadband evolution being promulgated by the 3rd Generation Partnership Project (3GPP) to address new requirements related to latency, reliability, security, scalability (e.g., for the Internet of Things (IoT)), and other requirements. 5G NR includes services associated with enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). Some aspects of 5G NR may be based on the 4G Long Term Evolution (LTE) standard. Further improvements to 5G NR technology are needed. Furthermore, these improvements may also be applicable to other multiple-access technologies and telecommunication standards that employ them. Summary of the Invention

[0006] The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects. It is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.

[0007] In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus is configured to receive, from a sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The apparatus is also configured to measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The apparatus is further configured to transmit, for the sensing entity, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0008] In this aspect, the method includes receiving, from a sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The method also includes measuring a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The method also includes transmitting, for the sensing entity, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0009] In another aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus is configured to receive, from a sensing node, an indication of a capability of the sensing node, where the indication of the capability of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. The apparatus is also configured to transmit, for the sensing node, a sensing configuration, where the sensing configuration is based on the indication of the capability of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The apparatus is further configured to receive, from the sensing node, at least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0010] In this regard, the method includes receiving, from a sensing node, an indication of capabilities of the sensing node, where the indication of capabilities of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. The method further includes transmitting, for the sensing node, a sensing configuration, where the sensing configuration is based on the indication of capabilities of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The method further includes receiving, from the sensing node, at least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0011] To the accomplishment of the foregoing and related ends, one or more aspects comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative features of the one or more aspects. These features are indicative, however, of but a few of the various ways in which principles of various aspects can be employed. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 is a diagram illustrating an example of a wireless communications system and an access network.

[0013] Figure 2A is a diagram illustrating an example of a first frame, in accordance with various aspects of the present disclosure.

[0014] Figure 2B is a diagram illustrating an example of a downlink (DL) channel within a subframe, in accordance with various aspects of the present disclosure.

[0015] Figure 2C is a diagram illustrating an example of a second frame, in accordance with various aspects of the present disclosure.

[0016] Figure 2D is a diagram illustrating an example of an uplink (UL) channel within a subframe, in accordance with various aspects of the present disclosure.

[0017] Figure 3 is a diagram illustrating an example of a base station and user equipment (UE) in an access network.

[0018] Figure 4 is a diagram illustrating an example of UE positioning based on reference signal measurements.

[0019] Figure 5 is a diagram illustrating an example sensing operation and sensing measurement transmission, in accordance with various aspects of the present disclosure.

[0020] Figure 6 is a call flow diagram for wireless communication, in accordance with various aspects of the present disclosure.

[0021] Figure 7 is a diagram illustrating an example multi-hypothesis configuration for sensing operations, in accordance with various aspects of the present disclosure.

[0022] Figure 8 is a diagram illustrating example hypothesis activation for sensing operations, in accordance with various aspects of the present disclosure.

[0023] Figure 9 is a diagram illustrating example hypothesis activation and reporting for sensing operations, in accordance with various aspects of the present disclosure.

[0024] Figure 10 is a flow diagram of a method of wireless communication, in accordance with various aspects of the present disclosure.

[0025] Figure 11 is a flow diagram of a method of wireless communication, in accordance with various aspects of the present disclosure.

[0026] Figure 12 is a flow diagram of a method of wireless communication, in accordance with various aspects of the present disclosure.

[0027] Figure 13 is a flow diagram of a method of wireless communication, in accordance with various aspects of the present disclosure.

[0028] Figure 14 is a diagram illustrating an example of a hardware implementation for an example apparatus and / or network entity.

[0029] Figure 15 is a diagram illustrating an example of a hardware implementation for an example network entity.

[0030] Figure 16 is a diagram illustrating an example of a hardware implementation for an example network entity. DETAILED DESCRIPTION

[0031] Wireless communication networks, such as 5G NR networks, can enable sensing measurements and operations for wireless devices. For example, a wireless communication network and / or a wireless device can utilize a particular sensing waveform (e.g., a radio detection and ranging (RADAR) waveform) for communication and / or radio frequency (RF) sensing. For example, a sensing waveform can be utilized by a wireless device (e.g., a sensing node) to perform RF sensing operations for a sensing target, and sensing measurements can be provided to a sensing entity via at least one reference signal (RS). In some scenarios, such as Doppler measurements and virtual multiple-input multiple-output (MIMO) array processing, phase-coherent RSs can improve or even enable RF sensing operations.

[0032] However, maintaining phase coherence of RS transmissions, such as in positioning reference signals (PRS) or sounding reference signals (SRS), can be impacted by hardware configuration / capability, beam switching operations, data services in the cellular system, etc., which in turn can impact sensing operation performance. For example, a sensing environment with a sensing target moving at a relatively low speed (e.g., no more than 2 m / s to 3 m / s) can utilize a larger time window (e.g., 10 ms to 20 ms, 2 frames, etc.) for sensing operations to achieve a desired sensing performance. However, maintaining coherent transmissions over a larger time window for sensing operations can be difficult or unachievable, which can result in impacted sensing performance.

[0033] Various aspects generally relate to wireless communication systems and sensing operations for wireless devices. Some aspects more specifically relate to multi-hypothesis measurement configuration in RF sensing. In one example, a sensing node can receive a sensing configuration from a sensing entity. The sensing configuration can indicate a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The sensing node can measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The sensing node can also transmit, for the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. In another example, a sensing entity can receive a capability indication of a sensing node from the sensing node. The capability indication of the sensing node can indicate a capability of the sensing node associated with multi-hypothesis measurement and reporting. The sensing entity can transmit a sensing configuration for the sensing node. The sensing configuration can be based on the capability indication of the sensing node and can indicate a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The sensing entity can also receive, from the sensing node, at least one of (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0034] Particular aspects of the subject matter described in this disclosure can be implemented to realize one or more of the following potential advantages. In some examples, by utilizing configurations for multi-hypothesis sensing measurements and reporting, the described techniques can be used to track optimal operating scenarios for sensing operations to improve sensing operation performance and efficiency. In some examples, by utilizing configurations for multi-hypothesis sensing measurements and reporting, the described techniques can be used to implement adaptive sensing measurements for a sensing node based on previous sensing performance, events, conditions, and / or the like, such as implementing any number of range, angle, and / or Doppler sensing measurements for a sensing node with respect to a first TRP while limiting the sensing node to a single type of sensing measurement for a second TRP. In some examples, by utilizing multiple hypotheses for sensing measurements, the described techniques can be used to provide a sensing entity with flexibility in selecting sensing measurements when performing its sensing calculations.

[0035] The detailed description set forth below, in connection with the appended drawings and embodiments described therewith, is intended as a description of various configurations and is not intended to limit the concepts described herein. The detailed description includes specific details for the purpose of providing a thorough understanding of various concepts. However, it will be apparent to those skilled in the art that these concepts can be practiced without these specific details. In some instances, well-known structures and components are shown in block diagram form in order to avoid obscuring the concepts.

[0036] Several aspects of telecommunication systems will now be presented with reference to various apparatus and methods. These apparatus and methods will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, components, circuits, processes, algorithms, etc. (collectively referred to as “elements”). These elements can be implemented using electronic hardware, computer software, or any combination thereof. Whether such elements are implemented as hardware or software depends on the particular application and design constraints imposed on the overall system.

[0037] As an example, an element, or any portion of an element, or any combination of elements can be implemented as a “processing system” that includes one or more processors. Examples of processors include microprocessors, microcontrollers, graphics processing units (GPUs), central processing units (CPUs), application processors, digital signal processors (DSPs), reduced instruction set computing (RISC) processors, systems on a chip (SoC), baseband processors, field programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gated logic, discrete hardware circuits, and other suitable hardware configured to perform the various functionality described throughout this disclosure. One or more processors in the processing system can execute software. Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software components, applications, software applications, software packages, routines, subroutines, objects, executables, threads of execution, procedures, functions, or any combination of them deemed useful by one of ordinary skill in the art, regardless of the particular nomenclature used.

[0038] Thus, in one or more example aspects, implementations, and / or use cases, the described functions can be implemented in hardware, software, or any combination thereof. If implemented in software, the functions can be stored on or encoded as one or more instructions or code on a computer-readable medium. Computer-readable media includes computer storage media. Storage media can be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise a random-access memory (RAM), a read-only memory (ROM), an electrically erasable programmable ROM (EEPROM), optical disk storage, magnetic disk storage, other magnetic storage devices, combinations of the aforementioned types of computer-readable media, or any other medium that can be used to store computer executable code in the form of instructions or data structures that can be accessed by a computer.

[0039] While aspects, implementations and / or use cases described herein can be described in the context of 5G NR technology, aspects, implementations and / or use cases described herein can be implemented in the context of any suitable wireless communication technology, such as any NR technology, 3GPP UMTS Terrestrial Radio Access (UTRA), 4G Long Term Evolution (LTE), 5G NR, etc. NR is often discussed in the context of new radio access technologies for mobile communications, including 5G NR. NR can include a radio technology of frequency range 1 (FR1), which can utilize spectrum from 1 GHz to 24 GHz, as well as a radio technology of frequency range 2 (FR2), which can utilize spectrum from 24.25 GHz to 52.6 GHz. NR can support vehicle-to-everything (V2X) services, including vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-network (V2N), and vehicle-to-pedestrian (V2P) services. 5G NR technology can include enhanced mobile broadband (eMBB) access, mission critical access (URLLC) and massive machine type communications (mMTC) access. While aspects of the disclosure are presented from the perspective of a 5G NR network, the aspects of the disclosure are applicable to other wireless communication systems.

[0040] Deployment of communication systems, such as 5G NR systems, can be arranged in a variety of ways with various components or constituent parts. In a 5G NR system or network, a network node, network entity, mobility element of a network, radio access network (RAN) node, core network node, network element, or network equipment, such as a base station (BS), or one or more units (or one or more components) performing base station functionality, can be implemented in an aggregated or disaggregated architecture. For example, a BS, such as a Node B (NB), an evolved NB (eNB), an NR BS, a 5G NB, an access point (AP), a transmission reception point (TRP), or a cell, etc., can be implemented as an aggregated base station (also referred to as a standalone BS or a monolithic BS) or a disaggregated base station.

[0041] A disaggregated base station can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node. A disaggregated base station can be configured to utilize a protocol stack that is physically or logically distributed across two or more units, such as one or more central or centralized units (CUs), one or more distributed units (DUs), or one or more radio units (RUs). In some aspects, a CU can be implemented within a RAN node, and one or more DUs can be co-located with the CU, or alternatively, can be geographically or virtually distributed in one or more other RAN nodes. The DUs can be implemented to be in communication with one or more RUs. Each of the CU, DU, and RU can be implemented as virtual units, i.e., a virtual central unit (VCU), virtual distributed unit (VDU), or virtual radio unit (VRU).

[0042] Base station operations or network designs can take into account the disaggregated nature of base station functionality. For example, a disaggregated base station can be utilized in an integrated access backhaul (IAB) network, an open radio access network (O-RAN (such as network configurations initiated by the O-RAN Alliance)), or a virtualized radio access network (vRAN, also referred to as a cloud radio access network (C-RAN)). Disaggregation can include distributing functionality across two or more units at various physical locations, as well as virtually distributing functionality of at least one unit, which can enable flexibility in network design. The various units of a disaggregated base station or disaggregated RAN architecture can be configured for wired or wireless communication with at least one other unit.

[0043] Figure 1 is a diagram 100 illustrating examples of wireless communication systems and access networks. The illustrated wireless communication systems include a disaggregated base station architecture. The disaggregated base station architecture can include one or more CUs 110 that can communicate directly with a core network 120 via a backhaul link, or indirectly with the core network 120 through one or more disaggregated base station units, such as a near real-time (near-RT) RAN intelligent controller (RIC) 125 via an E2 link, or a non-real-time (non-RT) RIC 115 associated with a service management and orchestration (SMO) framework 105, or both. The CUs 110 can communicate with one or more DUs 130 via respective fronthaul links, such as an Fl interface. The DUs 130 can communicate with one or more RUs 140 via respective front-haul links. The RUs 140 can communicate with respective UEs 104 via one or more radio frequency (RF) access links. In some implementations, a UE 104 can be simultaneously served by multiple RUs 140.

[0044] Each of the units (i.e., CU 110, DU 130, RU 140, and near-RT RIC 125, non-RT RIC 115, and SMO framework 105) can include or be coupled to one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) via a wired or wireless transmission medium. Each of the units, or an associated processor or controller providing instructions to the communication interfaces of these units, can be configured to communicate with one or more of the other units via the transmission medium. For example, the units can include a wired interface configured to receive signals from or transmit signals to one or more of the other units over a wired transmission medium. Additionally, the units can include a wireless interface that can include a receiver, a transmitter, or a transceiver (such as an RF transceiver) configured to receive and / or transmit signals to one or more of the other units over a wireless transmission medium.

[0045] In some aspects, CU 110 can host one or more higher layer control functions. Such control functions can include radio resource control (RRC), packet data convergence protocol (PDCP), service data adaptation protocol (SDAP), etc. Each control function can be implemented with an interface configured to communicate signals with other control functions hosted by CU 110. CU 110 can be configured to handle user plane functionality (i.e., central unit-user plane (CU-UP)), control plane functionality (i.e., central unit-control plane (CU-CP)), or a combination thereof. In some implementations, CU 110 can be logically split into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, CU-UP units can bi-directionally communicate with CU-CP units via an interface, such as an El interface. CU 110 can be implemented to communicate with DU 130 as needed for network control and signal transfer.

[0046] DU 130 can correspond to a logical unit that includes one or more base station functions for controlling operation of one or more RUs 140. In some aspects, DU 130 can host one or more of a radio link control (RLC) layer, a medium access control (MAC) layer, and one or more high physical (PHY) layers (such as modules for forward error correction (FEC) encoding and decoding, scrambling, modulation and demodulation, etc.) in accordance with a functional split, such as those defined by 3GPP. In some aspects, DU 130 can further host one or more low PHY layers. Each layer (or module) can be implemented with an interface configured to communicate signals with other layers (and modules) hosted by DU 130 or with control functions hosted by CU 110.

[0047] Lower layer functionality can be implemented by one or more RUs 140. In some deployments, RUs 140 controlled by a DU 130 can correspond to logical nodes that host RF processing functions or low PHY layer functions (such as performing fast Fourier transform (FFT), inverse FFT (iFFT), digital beamforming, physical random access channel (PRACH) extraction and filtering, etc.) or both based at least in part on a functional split, such as a lower layer functional split. In such an architecture, RUs 140 can be implemented to handle over-the-air (OTA) communications with one or more UEs 104. In some implementations, real-time and non-real-time aspects of control plane and user plane communications with RUs 140 can be controlled by a corresponding DU 130. In some scenarios, this configuration can enable DUs 130 and CUs 110 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

[0048] The SMO framework 105 can be configured to support RAN deployment and provisioning of non-virtualized network elements and virtualized network elements. For non-virtualized network elements, the SMO framework 105 can be configured to support deployment of dedicated physical resources for RAN coverage requirements, which can be managed via an operations and maintenance interface, such as an Ol interface. For virtualized network elements, the SMO framework 105 can be configured to interact with a cloud computing platform, such as an Open Cloud (O-Cloud) 190 to perform network element lifecycle management, such as to instantiate a virtualized network element, via a cloud computing platform interface, such as an 02 interface. Such virtualized network elements can include, but are not limited to, CUs 110, DUs 130, RUs 140, and near-RT RICs 125. In some implementations, the SMO framework 105 can communicate with hardware aspects of a 4G RAN, such as an Open eNB (O-eNB) 111, via an Ol interface. Additionally, in some implementations, the SMO framework 105 can communicate directly with one or more RUs 140 via an Ol interface. The SMO framework 105 can also include a non-RT RIC 115 configured to support functionality of the SMO framework 105.

[0049] The non-RT RIC 115 can be configured to include logical functions that enable non-real-time control and optimization of RAN elements and resources, artificial intelligence (AI) / machine learning (ML) (AI / ML) workflows including model training and updating, or policy-based steering of applications / features in the near-RT RIC 125. The non-RT RIC 115 can be coupled to, or in communication with, the near-RT RIC 125, such as via an Al interface. The near-RT RIC 125 can be configured to include logical functions that enable near-real-time control and optimization of RAN elements and resources via data collection and actions via an interface, such as via an E2 interface, that connects one or more CUs 110, one or more DUs 130, or both, and an O-eNB with the near-RT RIC 125.

[0050] In some implementations, to generate AI / ML models to be deployed in the near-RT RIC 125, the non-RT RIC 115 can receive parameters or external enrichment information from an external server. Such information can be utilized by the near-RT RIC 125 and can be received at the SMO framework 105 or the non-RT RIC 115 from non-network data sources or from network functions. In some examples, the non-RT RIC 115 or the near-RT RIC 125 can be configured to tune RAN behavior or performance. For example, the non-RT RIC 115 can monitor long-term trends and patterns of performance and employ AI / ML models to perform corrective actions via the SMO framework 105, such as via reconfiguration of Ol, or via creation of RAN management policies, such as Al policies.

[0051] At least one of the CU 110, the DU 130, and the RU 140 can be referred to as a base station 102. Thus, the base station 102 can include one or more of the CU 110, the DU 130, and the RU 140 (each component is indicated in dashed line to represent that each component can or can not be included in the base station 102). The base station 102 provides wireless access to the core network 120 for the UEs 104. A base station 102 can include a macro cell (high power cellular base station) and / or a small cell (low power cellular base station). Small cells include femto cells, pico cells, and micro cells. A network that includes both small cells and macro cells can be known as a heterogeneous network. A heterogeneous network also can include home evolved node Bs (eNBs) (HeNBs), which can provide service to a restricted group known as a closed subscriber group (CSG). The communication links between the RUs 140 and the UEs 104 can include uplink (UL) (also referred to as reverse link) transmissions from a UE 104 to a RU 140 and / or downlink (DL) (also referred to as forward link) transmissions from a RU 140 to a UE 104. The communication links can use multiple-input and multiple-output (MIMO) antenna technology, including spatial multiplexing, beamforming, and / or transmit diversity. The communication links can be through one or more carriers, where a carrier can be a set of

[0052] Certain UEs 104 can communicate with each other using device-to-device (D2D) communication link 158. The D2D communication link 158 can use the DL / UL WWAN spectrum. The D2D communication link 158 can use one or more sidelink channels, such as a physical sidelink broadcast channel (PSBCH), a physical sidelink discovery channel (PSDCH), a physical sidelink shared channel (PSSCH), and a physical sidelink control channel (PSCCH). D2D communication can be through a variety of wireless D2D communications systems, such as for example, Bluetooth, Wi-Fi based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard, LTE, or NR.

[0053] The wireless communications system can also include a Wi-Fi AP 150 in communication with UEs 104 (also referred to as Wi-Fi stations (STAs)) via communication links 154, e.g., in a 5 GHz unlicensed frequency spectrum or the like. When communicating in an unlicensed frequency spectrum, the UEs 104 / AP 150 can perform a clear channel assessment (CCA) prior to communicating in order to determine whether the channel is available.

[0054] The electromagnetic spectrum is often subdivided based on frequency / wavelength into various classes, bands, channels, etc. In 5G NR, two initial operating bands have been identified as frequency range designations FR1 (410 MHz - 7.125 GHz) and FR2 (24.25 GHz - 52.6 GHz). Despite a portion of FR1 being greater than 6 GHz, FR1 is often referred to (interchangeably) as a “Sub- 6 GHz” band in various documents and articles. A similar naming confusion occurs with regard to FR2, which is often referred to (interchangeably) as a “millimeter wave” band in documents and articles, despite such a band being different from the extremely high frequency (EHF) band (30 GHz - 300 GHz) which is designated as a “millimeter wave” band by the International Telecommunications Union (ITU).

[0055] The frequencies between FR1 and FR2 are often referred to as mid-band frequencies. Recent 5G NR studies have identified operating bands for these mid-band frequencies as frequency range designation FR3 (7.125 GHz - 24.25 GHz). Bands falling within FR3 can inherit FR1 characteristics and / or FR2 characteristics, and thus can effectively extend the features of FR1 and / or FR2 to mid-band frequencies. Moreover, even higher bands are currently under exploration to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating bands have been identified as frequency range designations FR2-2 (52.6 GHz - 71 GHz), FR4 (71 GHz - 114.25 GHz), and FR5 (114.25 GHz - 300 GHz). Each of these higher bands fall within the EHF band.

[0056] With the above in mind, unless specifically stated otherwise, if the term “Sub-6 GHz” or the like is used herein, this can broadly represent frequencies that can be less than 6 GHz, can be within FR1, or can include mid-band frequencies. Further, unless specifically stated otherwise, if the term “millimeter wave” or the like is used herein, this can broadly represent frequencies that can include mid-band frequencies, can be within FR2, FR4, FR2-2, and / or FR5, or can be within the EHF band.

[0057] The base stations 102 and the UEs 104 can each include multiple antennas (such as antenna elements, antenna panels, and / or antenna arrays) to facilitate beamforming. The base stations 102 can transmit to UEs 104 in one or more transmit directions using beamforming. The UEs 104 can receive from the base stations 102 in one or more receive directions using beamforming. The UEs 104 can also transmit to the base stations 102 in one or more transmit directions using beamforming. The base stations 102 can receive from the UEs 104 in one or more receive directions using beamforming. The base station 102 / UE 104 can perform beam training to determine the best receive and transmit directions for each of the base station 102 / UE 104. The transmit and receive directions for the base station 102 can or can not be the same. The transmit and receive directions for the UE 104 can or can not be the same.

[0058] The base stations 102 can include and / or be referred to as gNBs, NodeBs, eNBs, access points, base transceiver stations, radio base stations, radio transceiver, transceiver functions, basic service sets (BSSs), extended service sets (ESSs), TRPs, network nodes, network entities, network equipment, or some other suitable terminology. The base stations 102 can be implemented as integrated access and backhaul (IAB) nodes, relay nodes, sidelink nodes, aggregated (monolithic) base stations with baseband units (BBUs) including CUs and DUs and RUs, or as disaggregated base stations including one or more of CUs, DUs, and / or RUs. A collection of base stations that can include disaggregated and / or aggregated base stations can be referred to as a next generation (NG) RAN (NG-RAN).

[0059] The core network 120 can include an access and mobility management function (AMF) 161, a session management function (SMF) 162, a user plane function (UPF) 163, a unified data management (UDM) 164, one or more location servers 168, and other functional entities. The AMF 161 is a control node that handles signaling between the UEs 104 and the core network 120. The AMF 161 supports registration management, connection management, mobility management, and other functions. The SMF 162 supports session management and other functions. The UPF 163 supports packet routing, packet forwarding, and other functions. The UDM 164 supports generation of authentication and key agreement (AKA) credentials, user identification handling, access authorization, and subscription management. The one or more location servers 168 are illustrated as including a gateway mobile location center (GMLC) 165 and a location management function (LMF) 166. However, generally speaking, the one or more location servers 168 can include one or more location / determination servers, which can include one or more of a GMLC 165, an LMF 166, a positioning determination entity (PDE), a serving mobile location center (SMLC), a mobile positioning center (MPC), and the like. The GMLC 165 and the LMF 166 support UE location services. The GMLC 165 provides an interface for clients / applications (e.g., emergency services) to access UE positioning information. The LMF 166 receives measurements and assistance information from the NG-RAN and the UE 104 via the AMF 161 to compute a location of the UE 104. The NG-RAN can utilize one or more positioning methods to determine the location of the UE 104. Positioning the UE 104 can involve signal measurements, location estimation, and optional velocity calculations based on these measurements. The signal measurements can be made by the UE 104 and / or the base stations 102 serving the UE 104. The measured signals can be based on one or more of a satellite positioning system (SPS) 170 (e.g., Global Navigation Satellite System (GNSS), Global Positioning System (GPS), Non-Terrestrial Network (NTN), or other satellite positioning / location system), LTE signals, Wireless Local Area Network (WLAN) signals, Bluetooth signals, Terrestrial Beacon System (TBS), sensor-based information (e.g., barometric pressure sensors, motion sensors), NR Enhanced Cell ID (NR E-CID) methods, NR signals (e.g., multi-round trip time (multi-RTT), DL angle of departure (DL-AoD), DL time difference of arrival (DL-TDOA), UL time difference of arrival (UL-TDOA), and UL angle of arrival (UL-AoA) positioning), and / or other systems / signals / sensors.

[0060] Examples of UEs 104 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, tablet devices, smart devices, wearable devices, vehicles, electric meters, pumps, large or small kitchen appliances, healthcare devices, implants, sensors / actuators, displays, or any other similar functional devices. Some of the UEs 104 can be referred to as IoT devices (e.g., parking meters, gas pumps, toasters, vehicles, heart monitors, etc.). The UEs 104 can also be referred to as stations, mobile stations, subscriber stations, mobile units, subscriber units, wireless units, remote units, mobile devices, wireless devices, wireless communication devices, remote devices, mobile subscriber stations, access terminals, mobile terminals, wireless terminals, remote terminals, handheld devices, user agents, mobile clients, clients, or some other suitable terminology. In some scenarios, the term UE can also apply to one or more accessory devices such as in a device constellation arrangement. One or more of these devices can collectively or individually access a network.

[0061] Referring again to Figure 1In certain aspects, the UE 104 can have a multi-hypothesis component 198 ("component 198") that can be configured to receive, from a sensing entity, a sensing configuration that indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The component 198 can be further configured to measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The component 198 can be further configured to transmit, to the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The component 198 can be configured to receive, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. The component 198 can be configured to measure a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. The component 198 can be configured to transmit, to the sensing entity, the third set of sensing measurement data and the fourth set of sensing measurement data. The component 198 can be configured to receive, from the sensing entity or from a network node, a hypothesis activation after the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. The component 198 can be configured to provide, to the sensing entity, a sensing node's capability indication, where the sensing node's capability indication indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting, the capability of the sensing node including at least one of a number of sensing hypotheses supported by the sensing node, a buffering capability of the sensing node, a processing capability of the sensing node, or a related sensing capability of the sensing node. The component 198 can be configured to receive a capability request of the sensing node prior to transmission of the sensing node's capability indication. In certain aspects, the base station 102 can have a multi-hypothesis component 199 ("component 199") that can be configured to receive, from a sensing node, a sensing node's capability indication, where the sensing node's capability indication indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. The component 199 can be further configured to transmit, to the sensing node, a sensing configuration based on the sensing node's capability indication and indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The component 199 can be further configured to receive, from the sensing node, at least one of (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.The component 199 can be configured to transmit, for the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. The component 199 can be configured to receive, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. The component 199 can be configured to transmit, for the sensing node, a hypothesis activation after transmitting the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. The component 199 can be configured to transmit the capability request of the sensing node prior to receiving the capability indication of the sensing node. That is, aspects provide for multi-hypothesis measurement configuration in RF sensing that enables configuration of multiple hypotheses for a sensing node to perform and report sensing operations. Thus, enabling a sensing entity to track performance of hypotheses for updating and / or adapting of the sensing node and / or associated TRPs. Also enabling the sensing node to perform multiple sensing measurements, respectively, via the multiple hypotheses, which can improve and / or maintain sensing measurement performance and efficiency, as well as provide flexibility for the sensing entity to select sensing measurements when performing sensing calculations.

[0062] Figure 2A FIG. 200 is a diagram 200 illustrating an example of a first subframe within a 5G NR frame structure. Figure 2B FIG. 230 is a diagram 230 illustrating an example of DL channels within a 5G NR subframe. Figure 2C FIG. 250 is a diagram 250 illustrating an example of a second subframe within a 5G NR frame structure. Figure 2D FIG. 280 is a diagram 280 illustrating an example of UL channels within a 5G NR subframe. The 5G NR frame structure can be frequency division duplex (FDD) where Figure 2A Figure 2C ​In the examples provided, a 5G NR frame structure is assumed to be TDD with subframe 4 configured with slot format 28 (with mostly DL), where D is DL, U is UL, and F is flexible to use between DL / UL, and subframe 3 configured with slot format 1 (with all UL). While subframes 3, 4 are shown with slot formats 1, 28, respectively, any particular subframe can be configured with any of the various available slot formats 0-61. Slot formats 0, 1 are all DL, UL, respectively. Other slot formats 2-61 include a mix of DL, UL, and flexible symbols. UEs are configured with a slot format (dynamically through DL control information (DCI) or semi-statically / statically through radio resource control (RRC) signaling) through a received slot format indicator (SFI). Note that the following description also applies to 5G NR frame structures that are TDD.

[0063] Figures 2A to 2D A frame structure is illustrated, and aspects of the disclosure can be applicable to other wireless communication technologies that can have different frame structures and / or different channels. One frame (10 ms) can be divided into 10 equal sized subframes (1 ms). Each subframe can include one or more slots. A subframe can also include mini-slots, which can contain 7, 4, or 2 symbols. Each slot can contain 14 or 12 symbols depending on whether a cyclic prefix (CP) is normal or extended. For a normal CP, each slot can contain 14 symbols, and for an extended CP, each slot can contain 12 symbols. A symbol on the DL can be a CP-orthogonal frequency division multiplexing (OFDM) (CP-OFDM) symbol. A symbol on the UL can be a CP-OFDM symbol (for high throughput scenarios) or a discrete Fourier transform (DFT) spread OFDM (DFT-s-OFDM) symbol (for power limited scenarios; limited to single stream transmission). The number of slots within a subframe depends on the CP and the numerology. The numerology defines the subcarrier spacing (SCS) (see Table 1). The symbol length / duration can scale with 1 / SCS.

[0064]

[0065] Table 1: Parameter set, SCS and CP

[0066] For normal CP (14 symbols / slot), different numerologies m 0 to 4 allow 1, 2, 4, 8, and 16 slots per subframe, respectively. For extended CP, numerology 2 allows 4 slots per subframe. Thus, for normal CP and numerology m, there are 14 symbols per slot and 2 µ where ​For parameter sets 0 to 4. Therefore, the subcarrier spacing for parameter set µ=0 is 15 kHz, and the subcarrier spacing for parameter set µ=4 is 240 kHz. The symbol length / duration is inversely related to the subcarrier spacing. Figures 2A to 2D An example is provided for a normal CP with 14 symbols per slot and a parameter set µ=2 with 4 slots per subframe. The slot duration is 0.25ms, the subcarrier spacing is 60kHz, and the symbol duration is approximately 16.67μs. Within a frame set, there may be one or more different bandwidth parts (BWPs) frequency-division multiplexed (see Figure 2B ). Each BWP may have a specific parameter set and CP (normal or extended).

[0067] A resource grid can be used to represent the frame structure. Each slot consists of a resource block (RB) (also known as a physical RB (PRB)) that extends over 12 consecutive subcarriers. The resource grid is divided into multiple resource elements (REs). The number of bits carried by each RE depends on the modulation scheme.

[0068] like Figure 2A As illustrated, some of the REs carry reference (pilot) signals (RS) for the UE. The RSs may include a demodulation RS (DM-RS) (indicated as R for one specific configuration, but other DM-RS configurations are possible) and a channel state information reference signal (CSI-RS) used for channel estimation at the UE. The RSs may also include a beam measurement RS (BRS), a beam refinement RS (BRRS), and a phase tracking RS (PT-RS).

[0069] Figure 2BExamples of various DL channels are illustrated. The physical downlink control channel (PDCCH) carries DCI within one or more control channel elements (CCEs) (e.g., 1, 2, 4, 8, or 16 CCEs), each CCE including six RE groups (REGs), each REG including 12 consecutive REs in an OFDM symbol of an RB. A PDCCH within one BWP can be referred to as a control resource set (CORESET). A UE is configured to monitor PDCCH search space (e.g., common search space, UE-specific search space) for PDCCH candidates during PDCCH monitoring occasions on the CORESET, where the PDCCH candidates have different DCI formats and different aggregation levels. Additional BWPs can be located at higher and / or lower frequencies of the channel bandwidth. A primary synchronization signal (PSS) can be within symbol 2 of particular subframes of a frame. The PSS is used by a UE 104 to determine subframe / symbol timing and physical layer identity. A secondary synchronization signal (SSS) can be within symbol 4 of particular subframes of a frame. The SSS is used by a UE to determine physical layer cell identity group number and radio frame timing. Based on the physical layer identity and the physical layer cell identity group number, the UE can determine a physical cell identifier (PCI). Based on the PCI, the UE can determine the locations of DM-RS. The physical broadcast channel (PBCH), which carries a master information block (MIB), can be logically grouped with the PSS and SSS to form a synchronization signal (SS) / PBCH block (also referred to as SS block (SSB)). The MIB provides a number of RBs in the system bandwidth and a system frame number (SFN). The physical downlink shared channel (PDSCH) carries user data, broadcast system information (such as system information blocks (SIBs)), and paging messages.

[0070] As Figure 2C illustrated, some of the REs carry DM-RS (indicated as R for one particular configuration, but other DM-RS configurations are possible) for channel estimation at the base station. The UE can transmit DM-RS for the physical uplink control channel (PUCCH) and DM-RS for the physical uplink shared channel (PUSCH). The PUSCH DM-RS can be transmitted in the first one or two symbols of a slot. The PUCCH DM-RS can be transmitted in different configurations depending on whether short or long PUCCHs are transmitted and depending on the particular PUCCH format used. The UE can transmit sounding reference signals (SRS). The SRS can be transmitted in the last symbol(s) of a slot. The SRS can have a comb-2 structure, and a UE can transmit SRS on one of the combs. The SRS can be used by a base station for channel quality estimation to enable frequency-dependent scheduling for UL.

[0071] Figure 2DExamples of various UL channels within a subframe are illustrated. The PUCCH can be located as indicated in one configuration. The PUCCH carries uplink control information (UCI), such as scheduling requests, channel quality indicator (CQI), precoding matrix indicator (PMI), rank indicator (RI), and hybrid automatic repeat request (HARQ) acknowledgment (ACK) (HARQ-ACK) feedback (i.e., one or more HARQ ACK bits indicating one or more ACKs and / or negative ACKs (NACKs)). The PUSCH carries data, and can additionally be used to carry buffer status reports (BSRs), power headroom reports (PHRs), and / or UCI.

[0072] Figure 3 is a block diagram of the components of base station 310 and UE 350, which can be used in implementing the above-described techniques. In the DL, IP packets from the core network are provided to a controller / processor 375. The controller / processor 375 implements layer 3 and layer 2 functionality. Layer 3 includes a radio resource control (RRC) layer, and layer 2 includes a service data adaptation protocol (SDAP) layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, and a medium access control (MAC) layer. The controller / processor 375 provides RRC layer functionality associated with broadcasting of system information (e.g., MIB, SIBs), RRC connection control (e.g., RRC connection paging, RRC connection establishment, RRC connection modification, and RRC connection release), inter radio access technology (RAT) mobility, and measurement configuration and reporting for UEs; PDCP layer functionality associated with header compression / decompression, security (ciphering, deciphering, integrity protection, integrity verification), and handover support functions; RLC layer functionality associated with the transfer of upper layer packet data units (PDUs), error detection on the PDUs, concatenation, segmentation, and reassembly of upper layer service data units (SDUs), re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto transport blocks (TBs), demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through HARQ, priority handling, and logical channel prioritization.

[0073] The transmit (TX) processor 316 and the receive (RX) processor 370 implement layer 1 functionality associated with various signal processing functions. Layer 1, which includes a physical (PHY) layer, can include error detection on the transport channels, forward error correction (FEC) coding / decoding of the transport channels, interleaving, rate matching, mapping to physical channels, modulation / demodulation of physical channels, and MIMO antenna processing. The TX processor 316 handles mapping to signal constellations based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The coded and modulated symbols can then be split into parallel streams. Each stream can then be mapped to an OFDM subcarrier, multiplexed with a reference signal (e.g., pilot) in the time and / or frequency domain, and then combined together using an inverse fast Fourier transform (IFFT) to produce a physical channel carrying a time domain OFDM symbol stream. The OFDM stream is spatially precoded to produce multiple spatial streams if multiple spatial streams are used. Channel estimates from a channel estimator 374 can be used to determine the beamforming

[0074] At the UE 350, each receiver 354Rx receives a signal through its respective antenna 352. Each receiver 354Rx recovers information modulated onto an RF carrier and provides the information to the receive (RX) processor 356. The TX processor 368 and the RX processor 356 implement layer 1 functionality associated with various signal processing functions. The RX processor 356 can perform spatial processing on the information to recover any spatial streams destined for the UE 350. If multiple spatial streams are destined for the UE 350, they can be combined by the RX processor 356 into a single OFDM symbol stream. The RX processor 356 then converts the OFDM symbol stream from the time domain to the frequency domain using a fast Fourier transform (FFT). The frequency domain signal comprises a separate OFDM symbol stream for each subcarrier of the OFDM signal. The symbols on each subcarrier, and the reference signal, are recovered and demodulated by determining the most likely signal constellation points transmitted by the base station 310. These soft decisions can be based on channel estimates computed by the channel estimator 358. The soft decisions are then decoded and deinterleaved to recover the data and control signals that were originally transmitted by the base station 310 on the physical channel. The data and control signals are then provided to the controller / processor 359, which implements layer 3 and layer 2 functionality.

[0075] The controller / processor 359 may be associated with a memory 360 that stores program codes and data. The memory 360 may be referred to as a computer-readable medium. In the UL, the controller / processor 359 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover IP packets. The controller / processor 359 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0076] Similar to the functionality described in conjunction with DL transmissions performed by the base station 310, the controller / processor 359 provides RRC layer functionality associated with system information (e.g., MIB, SIB) acquisition, RRC connection, and measurement reporting; PDCP layer functionality associated with header compression / decompression and security (encryption, decryption, integrity protection, integrity verification); RLC layer functionality associated with delivery of upper layer PDUs, error correction through ARQ, concatenation, segmentation, and reassembly of RLC SDUs, resegmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto TBs, demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through HARQ, priority handling, and logical channel prioritization.

[0077] The TX processor 368 may use channel estimates derived by the channel estimator 358 from a reference signal or feedback transmitted by the base station 310 to select appropriate coding and modulation schemes and to facilitate spatial processing. The spatial streams generated by the TX processor 368 may be provided via separate transmitters 354Tx to different antennas 352. Each transmitter 354Tx may modulate an RF carrier with a corresponding spatial stream for transmission.

[0078] UL transmissions are processed at the base station 310 in a manner similar to that described in conjunction with the receiver functionality at the UE 350. Each receiver 318Rx receives a signal through its corresponding antenna 320. Each receiver 318Rx recovers information modulated onto an RF carrier and provides the information to the RX processor 370.

[0079] The controller / processor 375 may be associated with a memory 376 that stores program codes and data. The memory 376 may be referred to as a computer-readable medium. In the UL, the controller / processor 375 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover IP packets. The controller / processor 375 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0080] At least one of the TX processor 368, the RX processor 356, and the controller / processor 359 can be configured to perform aspects of the component 198 in connection with Figure 1 At least one of the TX processor 316, the RX processor 370, and the controller / processor 375 can be configured to perform aspects of the component 199 in connection with Figure 1

[0081] Figure 4 is a diagram 400 illustrating an example of UE positioning based on reference signal measurements. A UE 404 can transmit an UL-SRS 412 at a time T SRS_TX and receive a DL positioning reference signal (PRS) (DL-PRS) 410 at a time T PRS_RX A TRP 406 can receive the UL-SRS 412 at a time T SRS_RX and transmit the DL-PRS 410 at a time T PRS_TX The UE 404 can receive the DL-PRS 410 before transmitting the UL-SRS 412, or can transmit the UL-SRS 412 before receiving the DL-PRS 410. In both cases, a positioning server (e.g., location server 168) or the UE 404 can determine an RTT 414 based on ||T SRS_RX – T PRS_TX | – |T SRS_TX – T PRS_RX ||. Thus, multi-RTT positioning can utilize UE Rx-Tx time difference measurements (i.e., |T SRS_TX – T PRS_RX |) and DL-PRS reference signal received power (RSRP) (DL-PRS-RSRP) of downlink signals received from multiple TRPs 402, 406 and measured by the UE 404, and measured TRP Rx-Tx time difference measurements (i.e., |T SRS_RX – T PRS_TX |) and UL-SRS-RSRP of uplink signals transmitted from the UE 404 at multiple TRPs 402, 406. The UE 404 measures the UE Rx-Tx time difference measurements (and optionally the DL-PRS-RSRP of the received signals) using assistance data received from a positioning server, and the TRPs 402, 406 measure the gNB Rx-Tx time difference measurements (and optionally the UL-SRS-RSRP of the received signals) using assistance data received from the positioning server. These measurements can be used at the positioning server or the UE 404 to determine an RTT, which is used to estimate the location of the UE 404. Other methods for determining RTT are possible, such as, for example, using DL-TDOA and / or UL-TDOA measurements. ​

[0082] DL-AoD positioning can utilize measured DL-PRS-RSRP of downlink signals received at the UE 404 from multiple TRPs 402, 406. The UE 404 measures the DL-PRS-RSRP of the received signals using assistance data received from a positioning server, and the resulting measurements are used along with other configuration information to position the UE 404 relative to the neighboring TRPs 402, 406.

[0083] DL-TDOA positioning can utilize the DL Reference Signal Time Difference (RSTD) (and optionally DL-PRS-RSRP) of downlink signals received at the UE 404 from multiple TRPs 402, 406. The UE 404 measures the DL RSTD (and optionally DL-PRS-RSRP) of the received signals using assistance data received from a positioning server, and the resulting measurements are used along with other configuration information to position the UE 404 relative to the neighboring TRPs 402, 406.

[0084] UL-TDOA positioning can utilize the UL Relative Time of Arrival (RTOA) (and optionally UL-SRS-RSRP) of uplink signals sent from the UE 404 at multiple TRPs 402, 406. The TRPs 402, 406 measure the UL-RTOA (and optionally UL-SRS-RSRP) of the received signals using assistance data received from a positioning server, and the resulting measurements are used along with other configuration information to estimate the location of the UE 404.

[0085] UL-AoA positioning can utilize the measured Angle of Arrival (A-AoA) and Zenith Angle of Arrival (Z-AoA) of uplink signals sent from the UE 404 at multiple TRPs 402, 406. The TRPs 402, 406 measure the A-AoA and Z-AoA of the received signals using assistance data received from a positioning server, and the resulting measurements are used along with other configuration information to estimate the location of the UE 404.

[0086] Additional positioning methods can be used to estimate the location of the UE 404, such as, for example, UE-side UL-AoD and / or DL-AoA. It should be noted that data / measurement from various techniques can be combined in various ways to increase accuracy, determine and / or enhance certainty, supplement / complement measurements, and / or replace / provide missing information.

[0087] In addition to network-based UE positioning techniques, wireless devices (e.g., UEs, access points (APs), etc.) can be configured to include sensing capabilities, where the wireless devices can be capable of sensing (e.g., detecting and / or tracking) one or more objects or target entities in an area or environment based on radio frequency. The environment can refer to a particular geographic area or location, particularly an area or location affected by human activity, or the circumstances, objects, or conditions around a person. For example, a wireless device can include radar capabilities (which can be referred to as “RF sensing” and / or “cellular-based RF sensing”), where the wireless device can transmit reference signals (e.g., radar reference signals (RSS)) and measure the reference signals reflected from one or more objects (e.g., structures, walls, living objects, things in the environment, etc.). Based on the measurements, the wireless device can determine or estimate a distance between the wireless device and the one or more objects and / or obtain environmental information associated with its surrounding environment. In another example, a first wireless device can receive a signal transmitted from a second wireless device, where the first wireless device can determine or estimate a distance between the first wireless device and the second wireless device based on the received signal. For example, a tracking device (e.g., a Bluetooth tracker, an item tracker, an asset tracking device, etc.) can be configured to regularly transmit a signal (e.g., a beacon signal) or a small amount of data to a receiving device, such that the receiving device can be able to monitor the location or relative distance of the tracking device. Thus, a user can be able to track the location of an item by attaching the tracking device to the item (e.g., a car key, a wallet, a remote control, etc.). For the purposes of the present disclosure, a device / apparatus that is capable of performing sensing (e.g., transmitting and / or receiving a signal for detecting at least one object or for estimating a distance between the device and the at least one object) can be referred to as a “sensing device,” a “sensing node,” or a “sensing entity.” For example, the sensing device can be a UE, an AP device (e.g., a Wi-Fi router), a base station, a component of a base station, a TRP, a device capable of performing radar functions, etc. Further, a target entity can be any object (e.g., a person, a vehicle, a UE, etc.) for which a positioning or sensing session is performed, e.g., to determine its location, its speed, its heading, its physiological characteristics, etc. Further, a device / apparatus that is capable of transmitting a signal to a sensing device for the sensing device to determine a location or relative distance of the device / apparatus can be referred to as a “tracking device,” a “tracker,” or a “tag.”

[0088] For the purposes of the present disclosure, a positioning session can refer to the transmission, reception, and measurement of reference signals for the purpose of determining a positioning result or state (e.g., a location, a heading, a speed, etc.) of a target entity. An RF sensing session can refer to the transmission, reception, and measurement of reference signals for the purpose of determining a sensing result or state (e.g., a change in the environment) of an environment that includes the target entity, at least one physiological characteristic of the target entity, a location of the target entity, a speed of the target entity, a heading of the target entity, etc.

[0089] A wireless communication network and / or wireless devices can operate as a sensing node (e.g., a node at which sensing measurement operations can be performed, such as a UE, a base station, a TRP, etc.) and / or as a sensing entity (e.g., a network entity, such as a base station, LMF, etc., through which sensing configurations are provided and sensing calculations can be performed for wireless device tracking). A particular sensing waveform (e.g., a RADAR waveform) can be used by the sensing node and / or sensing entity for communication and / or radio frequency (RF) sensing. For example, RF sensing operations for a sensing target can be performed by the sensing node via the sensing waveform, and sensing measurements for the sensing operations for the sensing target can be provided to the sensing entity via RS. In some scenarios, such as Doppler measurements and virtual multiple-input multiple-output (MIMO) array processing, phase-coherent RS can improve or even enable RF sensing operations. However, maintaining phase coherence for RS transmissions, such as in PRS or SRS, can be impacted by hardware configuration / capabilities, beam switching operations, data services in cellular systems, etc., which in turn can impact sensing operation performance. As noted above, sensing environments with sensing targets moving at relatively low speeds (e.g., no more than 2 m / s to 3 m / s) can utilize larger time windows (e.g., 10 ms to 20 ms, 2 frames, etc.) for sensing operations to achieve desired sensing performance, but maintaining coherent transmissions over the larger time windows for sensing operations can be difficult or unachievable, which can result in impacted sensing performance. That is, sensing over long time windows can not yield consistent or viable sensing measurements, as such operations over longer time windows can not guarantee coherent signal transmissions over such time periods.

[0090] Aspects described provide a multi-hypothesis measurement configuration for sensing measurements in RF sensing that enables a wireless device (e.g., a sensing node) and a base station / LMF (e.g., a sensing entity) to improve and maintain sensing measurement performance and efficiency by configuring and utilizing multiple sensing hypotheses. For example, aspects herein provide a sensing node that can be configured to receive, from a sensing entity, a sensing configuration that can indicate a total number of sensing hypotheses and a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The sensing node can be configured to measure a first set of sensing measurement data (e.g., data obtained from performing sensing measurements on a signal) associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, and transmit, to the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The sensing entity can be configured to receive, from the sensing node, a capability indication of the sensing node that can indicate a capability of the sensing node associated with multiple hypothesis measurements and reporting. The sensing entity can be configured to transmit, to the sensing node, a sensing configuration (e.g., that can be based on the capability indication of the sensing node, and can indicate the total number of sensing hypotheses and at least the first sensing hypothesis and the second sensing hypothesis different from the first sensing hypothesis), and receive, from the sensing node, at least one of (1) the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0091] Accordingly, aspects described herein improve and maintain sensing measurement performance and efficiency. For example, a sensing entity can track optimal operating scenarios for sensing operations based on configurations for multi-hypothesis sensing measurements and reporting to improve sensing operation performance and efficiency. For example, a sensing node can be configured with a first sensing hypothesis and a second sensing hypothesis: the first sensing hypothesis can indicate a portion or subset of sensing occasions of a set of sensing resources, while the second sensing hypothesis can indicate a full set of sensing occasions of the set of sensing resources. The configurations can also utilize multi-hypothesis sensing measurements and reporting to enable dynamic / adaptive sensing measurements for the sensing node based on previous sensing performance, events, conditions, and the like. For example, a sensing entity can implement any number of range, angle, and / or Doppler sensing measurements for a sensing node with respect to a first TRP while restricting the sensing node to a single type of sensing measurement for a second TRP. Further, sensing measurements with multiple hypotheses can provide the sensing entity with flexibility in selecting sensing measurements when performing its sensing calculations. As an example, a sensing entity can obtain / have side information indicating whether a phase discontinuity can have occurred, and thus can use a first sensing hypothesis for sensing calculations. In some cases, the sensing entity can be enabled to perform more conservative calculations and utilize the first sensing hypothesis. Further, even if the sensing entity does not receive an indication of a phase discontinuity, the sensing entity can run an outlier rejection algorithm and determine that utilizing a second sensing hypothesis can result in outliers, which can indicate that the associated TRP has lost phase continuity or can indicate that the associated TRP does not guarantee phase coherence over a long window. If the sensing entity’s later observations hold for many sensing sessions, the sensing entity can refrain from using the associated TRP for Doppler measurements or can adjust its window accordingly. In aspects, a network node and / or sensing entity can be configured to compare sets of sensing measurement data based on each utilized sensing hypothesis. If the difference represented by the comparison is greater than or greater than or equal to a threshold, this can indicate that the second hypothesis can not be reliable and / or can indicate that each hypothesis measurement is not reliable. Additionally, aspects are applicable to 5G NR and can also extend to 5G enhancements and 6G applications.

[0092] While various aspects can be described in the context of phase coherence and positioning resources in sensing for descriptive and illustrative purposes, aspects are not so limited and can be applicable to other types of resources and operations, as will be appreciated by those of ordinary skill in the art having the benefit of the present disclosure.

[0093] Figure 5 is a diagram 500 illustrating example sensing operations and sensing measurement transmissions in accordance with various aspects of the present disclosure. As noted above, maintaining phase coherence of RS transmissions, such as in PRS or SRS, can be impacted by hardware configurations / capabilities, beam switching operations, data services in cellular systems, and the like, which in turn can impact sensing operation performance.

[0094] In diagram 500, the sensing node can be configured to transmit a coherent RS with sensing measurement data based on sensing measurements in a transmission gap 502. Utilizing the transmission gap 502 can enable the sensing node to transmit the coherent RS without interruption / interference, as the sensing node is not expected to perform other operations during the transmission gap 502. In another example, the sensing node can be configured to avoid phase coherence discontinuity of RS transmission by transmitting sensing measurement data in a sub-coherent processing interval (CPI) 504. The sub-CPI interval 504 can be indicated by the sensing entity and can enable the sensing node to transmit, for example, in locations where phase coherence discontinuity has not occurred, based on prior signaling.

[0095] In diagram 500, a sensing operation 508 is also shown. The sensing operation 508 is illustrated as including at least one sensing occasion 506. The number of sensing occasions 506 shown can represent a complete set of sensing resources on which the sensing node can perform a sensing operation to obtain / measured sensing measurement data.

[0096] Figure 6 is a call flow diagram 600 for wireless communication in various aspects. The call flow diagram 600 illustrates a multi-hypothesis measurement configuration in RF sensing for sensing measurements by a sensing node (e.g., a sensing node 602, such as a UE, a base station, a sidelink (SL) UE, a TRP, a road side unit (RSU), a positioning reference unit (PRU), etc.), which can communicate with and / or perform sensing operations with / without a sensing entity (e.g., a sensing entity 604, such as a base station, a gNB or other type of base station or network node, a UE, an LMF, etc., as shown by way of example). Aspects described for the sensing entity 604 can be performed by the sensing entity in an aggregated form and / or by one or more components of the sensing entity 604 in a disaggregated form. Additionally or alternatively, these aspects can be performed by the sensing node 602 autonomously in addition to and / or instead of the operations of the sensing entity 604.

[0097] In the illustrated aspects, the sensing node 602 can be configured to provide a capability indication 606 of the sensing node 602 for the sensing entity 604. The capability indication 606 of the sensing node 602 can indicate a capability of the sensing node associated with multi-hypothesis measurement and reporting. For example, in aspects, the capability indication 606 can indicate a capability to operate under multiple hypotheses per sensing occasion, including: a number of sensing hypotheses supported by the sensing node 602, a buffering capability of the sensing node 602, a processing capability of the sensing node 602, a related sensing capability of the sensing node 602, etc.

[0098] The capability indication 606 can be based on, for example, a solicited request from the sensing entity 604, or can be unsolicited / requested, e.g., provided / transmitted to the sensing entity 604 without a request. That is, the sensing node 602 can be configured to provide the capability indication 606 in response to a capability request or without / preceding a capability request. In aspects, the sensing entity 604 can be configured to request the sensing node 602 to indicate its capability to run multiple hypothetical measurements and reporting. In such aspects, the sensing node 602 can be configured to indicate its support for running multiple hypotheses via the capability indication 606. The capability indication 606 can also indicate how many hypotheses the sensing node 602 can support and / or any related sensing capabilities, as well as the buffering / processing capabilities of the sensing node 602.

[0099] The sensing node 602 can be configured to receive a sensing configuration 608 from the sensing entity 604. The sensing configuration 608 can be based on the capability indication 606. The sensing configuration 608 can indicate a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. In aspects, a sensing hypothesis can be an indication / configuration of a set or subset of sensing resources for which sensing is performed. For example, the sensing entity 604 can be configured to send / provide the sensing configuration 608 to the sensing node 602 indicating the number of sensing hypotheses (including the hypotheses themselves) for obtaining sensing measurement data for a sensing operation. In aspects, for the total number of sensing hypotheses, each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed by the sensing node 602 and a corresponding reference signal to be used by the sensing node 602 to report the set of sensing measurements (e.g., as a set, as a set of different signals, etc.).

[0100] The sensing configuration 608 can indicate, from a total number of sensing hypotheses, a first sensing hypothesis corresponding to a subset of sensing occasions in a set of sensing resources and / or a second sensing hypothesis corresponding to a full set of sensing occasions in the set of sensing resources. In aspects, the set of sensing resources can be one or more instances or occasions of resources in a reference signal. In aspects, the sensing configuration 608 can further indicate a subset of sensing measurements as ranges, angles, Doppler measurements, etc., and the sensing configuration can further indicate at least one of: a same transmission occasion for reporting / transmitting a set of sensing measurement data (e.g., at least a portion of resources of a transmission signal that can be used to transmit data / information), or a first transmission occasion for a first set of sensing measurement data and a second transmission occasion for a second set of sensing measurement data. In aspects, the sensing configuration 608 can indicate a set of corresponding reference signals and a transmission occasion for reporting associated with each sensing hypothesis of the total number of sensing hypotheses, respectively, as described herein, and one or more of the reference signals in the set of corresponding reference signals can be different from the other signals in the set of corresponding reference signals. In aspects, based on the sensing configuration 608, at least one of the first set of sensing measurement data or the second set of sensing measurement data can be associated with at least one of a range, an angle, or a Doppler measurement and at least one corresponding reference signal.

[0101] The sensing node 602 can be configured to measure (at 610) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. For example, the sensing node 602 can perform sensing operations for measurement according to the configured sensing hypotheses in the sensing configuration 608. The set of sensing measurement data measured (at 610) via the sensing operations can include one or more of the indicated sensing measurements from the subset of ranges, angles, Doppler measurements, etc., indicated by the sensing configuration 608. In aspects, the measurement (at 610) can include sensing measurements associated with one or more TRPs based on the sensing configuration 608. In aspects, the sensing node 602 can be configured to measure (at 610) the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis in a full set of sensing occasions in the set of sensing resources.

[0102] The sensing node 602 can be configured to transmit the measurement data / indication 612 for the sensing entity 604. For example, the sensing node 602 can be configured to transmit, for the sensing entity 604 and as the measurement data / indication 612, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The first set of sensing measurement data and the second set of sensing measurement data of the measurement data / indication 612 can include a subset of range, angle, Doppler measurements, etc., as indicated in the sensing configuration 608. The indication of the first sensing hypothesis and the second sensing hypothesis can indicate at least one of the first sensing hypothesis or the second sensing hypothesis used to measure (e.g., at 610) the first set of sensing measurement data or the second set of sensing measurement data. For example, in aspects where the sensing node 602 or a network node (e.g., a base station) rather than the sensing entity 604 activates aspects of the sensing hypothesis, the sensing node 602 can be configured to transmit, for the sensing entity 604, the sensing hypothesis utilized as part of the measurement data / indication 612, such that the sensing entity 604 is aware of the sensing hypothesis utilized.

[0103] In aspects, at least one of the first set of sensing measurement data and the second set of sensing measurement data or the indication of the first sensing hypothesis and the second sensing hypothesis of the measurement data / indication 612 can further include information associated with at least one of: measurement characteristics, outlier rejection, or measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis.

[0104] In some aspects, transmitting the first set of sensing measurement data and the second set of sensing measurement data of the measurement data / indication 612 in the same transmission occasion includes transmitting in the same transmission occasion on a first reference signal of a set of corresponding reference signals (e.g., as configured via the sensing configuration 608). In some aspects, transmitting the first set of sensing measurement data (e.g., the measurement data / indication 612) in the first transmission occasion is performed on a first reference signal of the set of corresponding reference signals, and transmitting the second set of sensing measurement data (the measurement data / indication 612) in the second transmission occasion is performed on a second reference signal of the set of corresponding reference signals.

[0105] Returning again to the sensing configuration 608, the measurements (at 610) of the first set of sensing measurements and the second set of sensing measurements by the sensing node 602, and the measurement data / indication 612, the first set of sensing measurement data and the second set of sensing measurement data, and / or the indication of the first sensing hypothesis and the second sensing hypothesis (e.g., the measurement data / indication 612) can in aspects further include information associated with measurement characteristics, outlier rejection, and / or measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis. That is, while aspects herein provide a network-based solution, the multi-hypothesis measurement for sensing computation is also applicable to a UE-based solution. Thus, in aspects of a UE-based sensing session, the sensing node can configure the UE for multi-hypothesis measurement, and the UE can report to the sensing entity which sensing hypothesis generated better results.

[0106] Thus, the sensing node 602 can be configured to transmit, to the sensing entity 604, information associated with measurement characteristics, outlier rejection, and / or measurement efficacy based on the measurements (at 610) described above. Aspects herein provide that the sensing node 602 can be configured to receive, from the sensing entity 604, an adjusted sensing configuration, which can be Figure 6 an additional aspect of the sensing configuration 608 in the call flow diagram 600. The adjusted sensing configuration can be associated with an indication of the first sensing hypothesis and the second sensing hypothesis, described similarly above with respect to the sensing configuration 608, and the adjusted sensing configuration can indicate at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. In aspects, the adjusted sensing configuration can be provided from the sensing entity 604 to the sensing node 602 based on the information associated with measurement characteristics, outlier rejection, and / or measurement efficacy.

[0107] The sensing node 602 can thus be enabled / configured to measure (e.g., described similarly for 610) a third set of sensing measurement data and / or a fourth set of sensing measurement data associated with the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis, described similarly for the measurements (at 610) in the call flow diagram 600. The sensing node 602 can be configured to then transmit, to the sensing entity 604, the third set of sensing measurement data and the fourth set of sensing measurement data, as described similarly for transmitting the measurement data / indication 612.

[0108] An example where UE-based sensing sessions can be applied (e.g., where the sensing node 602 can be a UE) is described herein, considering a scenario where a UE (e.g., a car) with accessible speed sensors. By comparing the speed estimates from each of the two configured hypotheses with the ground truth speed obtained from the speed sensor, the UE can be configured to determine which of the two configured hypotheses performs better. Such an indication can be reported to the sensing entity. Based on the indication / information from the UE, the sensing entity can adjust the configured hypotheses and / or measurements for other UEs in subsequent sensing sessions (e.g., by excluding Doppler measurements from a certain TRP). As another example, the UE can be configured to perform an outlier rejection algorithm and determine one of the hypotheses that results in an outlier. This outlier can be reported to the network entity for further adjusted configurations.

[0109] Figure 7 FIG. 700 is a diagram 700 illustrating example multi-hypothesis configurations for sensing operations in various aspects. In aspects herein, a sensing hypothesis can correspond to a type of sensing measurement that can be configured with certain reference signals. The illustrated aspects in the diagram 700 include at least one sensing occasion 702 (e.g., resources of a signal for which sensing is performed). The number of sensing occasions 702 shown can represent a full set of sensing resources 704 on which sensing operations can be performed by a sensing node for a sensing session to obtain / measured a set of sensing measurements. In aspects herein for multi-hypothesis measurement configurations for sensing measurements in RF sensing, by way of example, a first sensing hypothesis 706 and a second sensing hypothesis 708 can be used to obtain sensing measurements.

[0110] The first sensing hypothesis 706 and the second sensing hypothesis 708 can include different numbers of sensing occasions 702. For example, the first sensing hypothesis 706 can be a subset of the full set of sensing occasions 702 in the set of sensing resources 704. As one example and as shown, the first sensing hypothesis 706 can include half or approximately half of the number of sensing occasions 702 in the set of sensing resources 704. In other examples, other numbers of sensing occasions 702 in the set of sensing resources 704 can be utilized for the first sensing hypothesis 706. For the second sensing hypothesis 708, in aspects, the full set of sensing occasions 702 in the set of sensing resources 704 can be utilized, although other numbers of sensing occasions 702 in the set of sensing resources 704 are contemplated herein for the second sensing hypothesis 708.

[0111] The first sensing hypothesis 706 and the second sensing hypothesis 708 can be aspects of the sensing hypotheses described above with respect to Figure 6 and elsewhere herein, such as in Figure 7 For example, and returning reference to Figure 6And with call flow diagram 600, sensing node 602 and / or sensing entity 604 can be configured to perform a sensing computation based on a set of sensing measurement data measured according to first sensing hypothesis 706 and / or second sensing hypothesis 708.

[0112] As one example, a sensing entity (e.g., sensing entity 604) can generate a Doppler plot based on a first half of sensing occasions 702 from sensing resource set 704, such as illustrated for first sensing hypothesis 706. On the other hand, a sensing entity (e.g., sensing entity 604) can generate a Doppler plot based on a full set of sensing occasions 702 of sensing resource set 704, such as illustrated for second sensing hypothesis 708. As another example, in various aspects, a sensing entity (e.g., sensing entity 604) can be configured to generate a range plot based on coherent processing across sensing resource set 704, and / or can be configured to generate a range plot based on non-coherent processing across sensing resource set 704.

[0113] Figure 8 is a diagram 800 illustrating example hypothesis activation for sensing operations in various aspects. Diagram 800 can be a continuation and / or additional aspects of diagram 700 in Figure 7 Diagram 800 illustrates aspects in various aspects for sensing operations. Diagram 800 can be a continuation and / or additional aspects of diagram 700 in

[0114] The first sensing hypothesis 806, the second sensing hypothesis 808, and the third sensing hypothesis 812 can include different numbers of sensing occasions 802. For example, the first sensing hypothesis 806 can be a subset of the full set of multiple sensing occasions 802 in the first set of sensing resources 804. As one example and as illustrated, the first sensing hypothesis 806 can include one-half or approximately one-half of the multiple sensing occasions 802 in the first set of sensing resources 804. In other examples, other numbers of sensing occasions 802 in the first set of sensing resources 804 can be utilized for the first sensing hypothesis 806. For the second sensing hypothesis 808, in aspects, the full set of multiple sensing occasions 802 in the first set of sensing resources 804 / second set of sensing resources 810 can be utilized, although other numbers of sensing occasions 802 in the first set of sensing resources 804 / second set of sensing resources 810 are contemplated herein can be utilized for the second sensing hypothesis 808. By way of example, the third sensing hypothesis 812 can also be a subset of the full set of multiple sensing occasions 802 in the second set of sensing resources 810. As one example and as illustrated, the third sensing hypothesis 812 can include one-half or approximately one-half of the multiple sensing occasions 802 in the second set of sensing resources 810. In other examples, other numbers of sensing occasions 802 in the second set of sensing resources 810 can be utilized for the third sensing hypothesis 812.

[0115] The first sensing hypothesis 806, the second sensing hypothesis 808, and the third sensing hypothesis 812 can be aspects of the sensing hypotheses described above with respect to Figure 6 and elsewhere herein, such as in Figure 7 For example, and returning reference to Figure 6 and the call flow diagram 600, the sensing node 602 and / or the sensing entity 604 can be configured to perform a sensing computation based on a set of sensing measurement data measured according to the first sensing hypothesis 806, the second sensing hypothesis 808, and / or the third sensing hypothesis 812.

[0116] In a first portion 820 of the sensing operation illustrated in diagram 800, the sensing node can be configured to measure (at 814) a set of sensing measurement data for the first set of sensing resources 804 with the first sensing hypothesis 806 and the second sensing hypothesis 808 for a plurality of sensing occasions 802. According to aspects, these sets of sensing measurement data can be sent / provided to a sensing entity. The sensing node can be configured to then receive a hypothesis activation 816, e.g., from the sensing entity or a network node. In aspects, the hypothesis activation can be an indication / configuration to activate and utilize one or more particular hypotheses for sensing. The provision / reception of the hypothesis activation 816 can be based on the sets of sensing measurement data and / or additional information included therein (e.g., measurement characteristics of one or more of the sets of sensing measurement data, outlier rejection, measurement efficacy, loss of coherence, etc., as described herein). In aspects, the hypothesis activation 816 can include an indication of one or more sensing hypotheses to be utilized by the sensing node. In the illustrated aspects, the hypothesis activation 816 can include an indication of the third sensing hypothesis 812 to be utilized by the sensing node in a second portion 822 of the illustrated sensing session.

[0117] Accordingly, the sensing node can be configured to measure (at 818) a set of sensing measurement data for the second set of sensing resources 810 with the third sensing hypothesis 812 and the second sensing hypothesis 808 for some of the sensing occasions 802 based on the hypothesis activation 816. According to aspects, these sets of sensing measurement data can be sent / provided to a sensing entity. Some aspects can also provide the third sensing hypothesis 812 to be utilized in the second portion 822 based on the hypothesis activation 816, without utilizing the second sensing hypothesis 808.

[0118] In aspects, provision / reception of the assumption activation 816 can occur during the sensing session (as shown), or can occur prior to the sensing session (e.g., in cases where no measurements occur (at 814) but the first sensing assumption 806 and the second sensing assumption 808 are configured by the sensing configuration, as described herein). Additionally, in aspects, the assumption activation 816 can activate one or more sensing assumptions, and can be used to improve performance, accuracy, effectiveness, etc. of sensing measurement operations, general node operations, etc. For example, with respect to energy saving on the sensing node, the sensing entity can request the sensing node to perform sensing measurements on a subset of measurements with negligible performance loss by activating the corresponding sensing assumption (e.g., the sensing assumption 812), thereby reducing sensing and associated processing / transmitting power. An example of this is exemplified in the diagram 800 by activating the third sensing assumption 812 instead of the first sensing assumption 806 (with or without the second sensing assumption 808). As another example, based on multi- assumption measurement analysis, the sensing entity can estimate that the Doppler measurement from one TRP is not valid (e.g., its transmission is not phase-coherent). The sensing entity can deactivate the Doppler measurement from that TRP by activating the corresponding assumption.

[0119] It can also be noted that the sensing node can obtain side information about Doppler estimation by other sources, such as a speed sensor on the UE, the output of which is shared with the sensing entity. Thus, the sensing entity can be configured to utilize such side information to validate Doppler measurement from a certain TRP. Additionally, activation of a subset of sensing assumptions can occur multiple times within a sensing session. As one example, in the context of a periodic sensing session, the sensing node can be configured to adjust the utilized sensing assumptions, e.g., to improve the sensing operation as much as possible.

[0120] Figure 9 Diagram 900 includes a sensing node 902, a sensing entity 904, a network node (e.g., a base station 906), and one or more TRPs 908 (which, in aspects, can be sensing targets).

[0121] In aspects, as described above, assumption activation can be used in sensing operations to specifically activate one or more sensing assumptions. Diagram 900 shows an assumption activation 910, which can be initiated by the sensing node 902 itself, by the sensing entity 904 for the sensing node 902, and / or by the base station 906 (e.g., a network node) for the sensing node 902. The assumption activation 910 can be provisioned / transmitted, received, obtained, implemented, etc. after receiving the sensing configuration (including prior to the sensing session and / or during the sensing session). The assumption activation 910 can indicate at least one sensing assumption from a total number of sensing assumptions used to perform measurements in the sensing operation.

[0122] In aspects, the sensing entity 904 can be an LMF, and the hypothesis activation 910 can be associated with coherence conditions for the sensing node 902. In some aspects, the hypothesis activation 910 can be received by the sensing node 902 via at least one of RRC signaling, a medium access control (MAC) control element (MAC-CE), or DCI, as transmitted / provided from a base station 906 (e.g., from a network node). In cases where the sensing entity 904 can be a network entity such as an LMF, the communication between the sensing entity 904 and the sensing node 902 can be via appropriate signaling such as LTE Positioning Protocol (LPP), which can be higher layer signaling. The base station 906 (e.g., network node) can be configured to dynamically activate a subset of sensing hypotheses via the hypothesis activation 910 based on certain conditions. As one example, the base station 906 can be aware of beam switching between sensing reference signal transmissions, which can invalidate the phase coherence properties of the sensing reference signals. Based on this knowledge, the base station 906 can be configured to activate a subset of sensing hypotheses via the hypothesis activation 910 that are to be measured by the sensing node 902 and reported to the sensing entity 904.

[0123] In some aspects, the sensing node 902 can be a SL UE, the sensing entity 904 can be a UE, and the hypothesis activation 910 can be associated with coherence conditions for the sensing node 902. The hypothesis activation 910 can be received by the sensing node 902 via direct communication (PC5) RRC signaling, PC5 MAC-CE, SL control information (SCI) stage 1, or SCI stage 2, as transmitted / provided from the sensing entity 904, over a sidelink channel. As one example, a UE acting as the sensing entity 904 can be configured to configure the hypothesis activation 910 to the participating SL UE acting as the sensing node 902 via a sidelink channel from which to trigger / select a plurality of sensing hypotheses of at least one sensing hypothesis. The SL UE can then perform multi-hypothesis measurements with the triggered / selected sensing hypotheses and report the resulting sensing measurement data and utilized sensing hypotheses back to the UE.

[0124] In some aspects, activation of the hypothesis measurements and corresponding reporting via the hypothesis activation 910 can be based on one or more events. That is, aspects herein provide for the sensing node 902 to trigger the hypothesis activation 910, as noted above. Once the configured event is triggered, one or more sensing hypotheses can be autonomously used by the sensing node 902 to perform sensing measurements to generate sensing measurement data, which can then be reported by the sensing node 902 to the sensing entity 904. As one example of a triggering event, the sensing node 902 (e.g., UE) can experience a mobility event and / or a cell handover. In such cases, the sensing node 902 can move between a first region and a second region or handover from a first cell to a second cell. For example, within the first region, the sensing node can perform sensing measurements based on a first sensing hypothesis and / or a second sensing hypothesis. Based on the mobility event experienced by the sensing node 902 (e.g., moving to the second region), the sensing node 902 can trigger the hypothesis activation 910 such that in the second region, the sensing node can perform sensing measurements based on a third sensing hypothesis and / or a fourth sensing hypothesis.

[0125] As described for aspects herein, the sensing node (e.g., sensing node 902) can perform sensing measurements by measuring a set of sensing measurement data 914 associated with a sensing hypothesis. In the illustrated example, the sensing node 902 can perform such sensing measurements based on the signaling 912 from one or more TRPs 908. The sensing node 902 can report (e.g., send / provide) the sensing measurements for each hypothesis as a set of sensing measurement data 914 to the sensing entity 904.

[0126] In aspects, the set of sensing measurement data 914 can be reported by the sensing node 902 to the sensing entity 904 in the same reporting occasion 916 of the RS (e.g., RS 1), while in other aspects, each of the set of sensing measurement data 914 can be configured with its own reporting occasion in a corresponding RS (e.g., RS 1 and RS 2, respectively), such as reporting occasion 918 and reporting occasion 920. In aspects, the set of sensing measurement data 914 can include and / or be accompanied by an indication of the sensing hypothesis utilized by the sensing node 902. In some aspects, each sensing hypothesis can be reported in the same reporting occasion of the RS (e.g., the same reporting occasion 916 in RS 1), while in other aspects, each sensing hypothesis can be configured with its own reporting occasion in a corresponding RS, such as reporting occasion 918 and reporting occasion 920 in RS 1 and RS 2, respectively. In some aspects, the first transmission occasion can be different from the second transmission occasion for the reporting described above, such as reporting occasion 918 can be different from reporting occasion 920.

[0127] Figure 10is a flowchart 1000 of a method of wireless communication in various aspects. The method can be performed by a sensing node (e.g., the UE 104, 404; the sensing node 602, 902; the TRP 402, 406, 908; the apparatus 1404). In some aspects, the method can include the aspects described in connection with the communication flow in Figure 6 and / or the aspects described in connection with Figures 7 to 9 . The method provides a multi-hypothesis measurement configuration for sensing measurements in RF sensing that enables a wireless device (e.g., a sensing node) and a base station / LMF (e.g., a sensing entity) to improve and maintain sensing measurement performance and efficiency by configuring and utilizing multiple sensing hypotheses.

[0128] At 1002, the sensing node receives, from a sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. For example, the reception can be performed at least in part by the component 198. Figure 6 , Figure 7 , Figure 8 , Figure 9 An example illustrates a sensing node 602 receiving such a sensing configuration from a sensing entity (e.g., the sensing entity 604).

[0129] The sensing node 602 can be configured to provide a capability indication 606 of the sensing node 602 to the sensing entity 604. The capability indication 606 of the sensing node 602 can indicate a capability of the sensing node associated with multi-hypothesis measurement and reporting. For example, in aspects, the capability indication 606 can indicate a capability to operate under multiple hypotheses (e.g., the multiple hypotheses 706, 708 in Figure 7 702 in FIG. 7; Figure 8 802 in FIG. 8; Figure 7 806, 808, 812 in FIG. 8) of sensing hypotheses (e.g., the sensing hypotheses 706, 708 in Figure 8 Figure 7 706, 708 in FIG. 7; Figure 8 ​the sensing node 602, processing capabilities of the sensing node 602, related sensing capabilities of the sensing node 602, and / or the like. The capability indication 606 can be based on, for example, a solicited request from the sensing entity 604, or can be unsolicited / requested, e.g., provided / transmitted to the sensing entity 604 without a request. That is, the sensing node 602 can be configured to provide the capability indication 606 in response to a capability request or without / preceding a capability request. In aspects, the sensing entity 604 can be configured to request the sensing node 602 to indicate its capability to run multiple hypothetical measurements and reporting. In such aspects, the sensing node 602 can be configured to indicate its support for running multiple hypotheses via the capability indication 606. The capability indication 606 can also indicate how many hypotheses the sensing node 602 can support and / or any related sensing capabilities, as well as buffering / processing capabilities of the sensing node 602.

[0130] The sensing node 602 can be configured to receive a sensing configuration 608 from the sensing entity 604. The sensing configuration 608 can be based on the capability indication 606. The sensing configuration 608 can indicate a sensing hypothesis (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 a total number of the hypotheses (e.g., 806, 808, 812 in FIG. 8) and at least a first sensing hypothesis (e.g., Figure 7 706 in FIG. 6; Figure 8 806 in FIG. 8) and different from the first sensing hypothesis (e.g., Figure 7 706 in FIG. 6; Figure 8 806 in FIG. 8) and different from the first sensing hypothesis (e.g., Figure 7 708 in FIG. 6; Figure 8 808 in FIG. 8). For example, the sensing entity 604 can be configured to send / provide the sensing configuration 608 to the sensing node 602 that indicates a sensing hypothesis (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 a number of the hypotheses (e.g., 806, 808, 812 in FIG. 8) including the hypotheses themselves. In aspects, for a total number of the sensing hypotheses (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 806, 808, 812 in FIG. 8), each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and a corresponding reference signal (e.g., as a set, as a set of different signals, and / or the like) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 9RS 1 / RS 2 for 916, 918, 920 in ). Sensing configuration 608 can be derived from the total number of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812) in the indication and sensing resource set ( Figure 7 704 in; Figure 8 804, 810) in the sensing opportunity ( Figure 7 702 in; Figure 8 802) corresponds to a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806) and / or with the sensing resource set ( Figure 7 704 in; Figure 8 804, 810) in the sensing opportunity ( Figure 7 702 in; Figure 8 802 ) corresponds to a complete set of second sensing hypotheses (eg, Figure 7 708 in; Figure 8 In various aspects, the sensing configuration 608 may also indicate (e.g., at 610) the sensing measurements as a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in ), and the sensing configuration may further indicate at least one of: a set of sensing measurement data for reporting / sending (eg, Figure 6 612 in; Figure 9 916, 918, 920) of the same sending timing (for example, Figure 6 612 in; Figure 9 916 in), or for sensing a first set of measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) of the first sending opportunity (for example, Figure 6 612 in; Figure 9 918) and a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920) of the second sending opportunity (for example, Figure 6 612 in; Figure 9 In various aspects, the sensing configuration 608 may indicate the number of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 A set of corresponding reference signals associated with each sensing hypothesis in 806, 808, 812) (e.g., Figure 9 RS 1 / RS 2 for 916, 918, 920) and the sending timing for the report (e.g., Figure 6 612 in; Figure 9 916, 918, 920 in ), as described herein, and corresponding to a set of reference signals (e.g., Figure 9 One or more of the reference signals in RS 1 / RS 2 for 916, 918, 920) may be different from the set of corresponding reference signals (eg, Figure 9 In various aspects, based on the sensing configuration 608, a first set of sensing measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) or a second set of sensory measurement data (e.g., Figure 6 612 in; Figure 9 At least one of 914, 916, 920) in the example may be combined with at least one of the range, angle, or Doppler measurements (e.g., from Figure 9 912) and at least one corresponding reference signal (e.g., Figure 9 The RS 1 / RS2 for 916, 918, and 920 are associated.

[0131] At 1004 , the sensing node measures a first set of sensing measurement data associated with a first sensing hypothesis and a second set of sensing measurement data associated with a second sensing hypothesis. The measurements may be performed at least in part by component 198 , for example. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example is illustrated in which the sensing node 602 performs measurements in this manner.

[0132] The sensing node 602 may be configured to measure (at 610) a signal that is consistent with a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806)) a first set of associated sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) and the second sensing hypothesis (e.g., Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 For example, the sensing node 602 may configure the sensing assumptions according to the configuration in the sensing configuration 608 (e.g., Figure 7 706, 708; Figure 8806, 808, 812 in the sensing configuration 608) to perform a sensing operation for measuring (at 610). The set of sensing measurement data obtained via the sensing operation measured (at 610) may include a subset of range, angle, Doppler measurements, etc. from the sensing configuration 608 (e.g., from Figure 9 In various aspects, the measurements (at 610) may include one or more of the indicated sensing measurements of the sensing configuration 608 and one or more TRPs (e.g., Figure 9 In various aspects, the sensing node 602 may be configured to perform sensing measurements associated with the sensing resource set ( Figure 7 704 in; Figure 8 804, 810) in the sensing opportunity ( Figure 7 702 in; Figure 8 802 ) are measured (at 610 ) in a subset of the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 ) a first set of associated sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) and in the sensing resource set ( Figure 7 704 in; Figure 8 804, 810) in the sensing opportunity ( Figure 7 702 in; Figure 8 802) in a complete set of measurements with a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920 in the .

[0133] Measurements of the first set of sensing measurements and the second set of sensing measurements by the sensing node 602 (at 610), and measurement data / indications 612 (eg, Figure 9 914, 916, 918, 920), a first set of sensory measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920 in ), and / or a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) (e.g., Figure 9914, 916, 918, 920) (eg, measurement data / indication 612) in various aspects may also include information related to the first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806 ) associated with a first set of sensory measurement data (eg, Figure 9 914, 916, 918 in and the second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) associated with the second set of sensory measurement data (eg, Figure 9 914, 916, 920) of one or more of the measurement characteristics, outlier rejection and / or measurement efficacy of one or more of the above. That is, while aspects herein provide network-based solutions, multi-hypothesis measurements for sensing computations are also applicable to UE-based solutions. Thus, in aspects of a UE-based sensing session, a sensing node (e.g., Figure 6 602 in; Figure 9 902 in the embodiment) may configure the UE for multi-hypothesis measurement, and the UE may provide a sensing entity (eg, Figure 6 604 in; Figure 9 904) reports which sensing hypothesis (e.g., Figure 7 706, 708 in

[15] ; 806, 808 in

[16] ) produced better results.

[0134] At 1006, the sensing node transmits, for the sensing entity, at least one of: (1) a first set of sensing measurement data and a second set of sensing measurement data, or (2) an indication of a first sensing hypothesis and a second sensing hypothesis. For example, the transmitting may be performed at least in part by component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example is illustrated in which the sensing node 602 sends a set and / or indication of sensing measurement data to a sensing entity (eg, the sensing entity 604 ).

[0135] The sensing node 602 may be configured to send measurement data / indications 612 (eg, Figure 9 For example, the sensing node 602 may be configured to sense the entity 604 and provide the measurement data / indication 612 (eg, Figure 9 914, 916, 918, 920) in the embodiment of the present invention sends at least one of the following: (1) a first set of sensory measurement data and a second set of sensory measurement data (e.g., Figure 9 914, 916, 918, 920), or (2) a first sensing hypothesis (e.g., Figure 7706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808). Measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) of the first set of sensory measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) may include a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in ), as indicated in the sensing configuration 608. For the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 The indication of 808 in the example may indicate a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806) or a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808 in ) for measuring (eg, at 610) a first set of sensory measurement data or a second set of sensory measurement data (eg, Figure 9 For example, at the sensing node 602 or the network node (e.g., Figure 9 906 in the base station 906) rather than the sensing entity 604 activating the sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808), the sensing node 602 may be configured to send the utilized sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808) as measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) so that the sensing entity 604 knows the sensing assumptions utilized (e.g., Figure 7 706, 708; Figure 8 806, 808 in the original text).

[0136] In various aspects, a first set of sensory measurement data (e.g., Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9914, 916, 920) or a first sensing hypothesis for the measurement data / indication 612 (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) (e.g., Figure 9 914, 916, 918, 920) may also include information associated with at least one of the following: information associated with the first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806 ) a first set of associated sensory measurement data (eg, Figure 9 914, 916, 918) and the second sensing hypothesis (e.g., Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 9 Measurement characteristics, outlier rejection, or measurement power of one or more of 914, 916, 920).

[0137] In some aspects, a first set of sensing measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) include a set of corresponding reference signals (eg, Figure 9 RS 1, RS 2 in (eg, as configured via sensing configuration 608) on the first reference signal in (eg, Figure 9 In some aspects, at the first transmission opportunity (eg, Figure 9 918 in which a first set of sensory measurement data is sent (eg, Figure 9 914, 916, 918) (eg, measurement data / indication 612) is a set of corresponding reference signals (eg, Figure 9 On the first reference signal in RS 1, RS2) (for example, Figure 9 1) and at the second sending opportunity (e.g., Figure 9 920 in which a second set of sensing measurement data is sent (eg, Figure 9 914, 916, 920) (measurement data / indication 612) is a set of corresponding reference signals (eg, Figure 9 RS 1, RS 2) in the second reference signal (for example, in Figure 9 2 in RS 2).

[0138] Sensing node 602 can be configured to transmit, to sensing entity 604, information associated with measurement characteristics, outlier rejection, and / or measurement efficacy based on the measurements (at 610) described above. Aspects herein provide that sensing node 602 can be configured to receive, from sensing entity 604, an adjusted sensing configuration, which can be Figure 6 further aspects of sensing configuration 608 in call flow diagram 600. The adjusted sensing configuration can be associated with an indication of a first sensing hypothesis (e.g., Figure 7 at 706; Figure 8 at 806) and a second sensing hypothesis (e.g., Figure 7 at 708; Figure 8 at 808), described similarly above for sensing configuration 608, and the adjusted sensing configuration can indicate at least one of a total number of adjusted sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis (e.g., Figure 8 at 810). In aspects, the adjusted sensing configuration can be provided from sensing entity 604 to sensing node 602 based on the information associated with measurement characteristics, outlier rejection, and / or measurement efficacy.

[0139] Accordingly, sensing node 602 can thus be caused / configured to measure (e.g., described similarly for 610) a third set of sensing measurement data and / or a fourth set of sensing measurement data (e.g., as similar to Figure 8 at 810), associated with the total number of adjusted sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis (e.g., as similar to Figure 9 at 914, 916, 918, 920), described similarly for the measurements (at 610) in call flow diagram 600. Sensing node 602 can be configured to then transmit, to sensing entity 604, the third set of sensing measurement data and the fourth set of sensing measurement data (e.g., as similar to Figure 9 at 914, 916, 918, 920), described similarly for transmitting measurement data / indication 612 (e.g., as similar to Figure 9 at 914, 916, 918, 920).

[0140] Figure 11 is a flow diagram 1100 of a method of wireless communication in various aspects. The method can be performed by a sensing node (e.g., the UE 104, 404; the sensing node 602, 902; the TRP 402, 406, 908; the apparatus 1404). In some aspects, the method can include aspects described in connection with the communication flow in Figure 6 , Figure 9 described in connection with the communication flow in Figure 7 、 Figure 8 The method provides a multi-hypothesis measurement configuration for sensing measurement in RF sensing, which enables a wireless device (e.g., a sensing node) and a base station / LMF (e.g., a sensing entity) to improve and maintain sensing measurement performance and efficiency by configuring and utilizing multiple sensing hypotheses.

[0141] At 1102, a sensing node receives a sensing node capability request. For example, the receiving can be performed at least in part by component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example is illustrated in which the sensing node 602 receives such a capability request from a sensing entity (eg, the sensing entity 604 ).

[0142] The sensing node 602 may be configured to receive a capability request from the sensing entity 604 for sensing capabilities of the sensing node 602. In various aspects, the sensing node 602 may receive a capability request associated with a plurality of hypothetical measurements and reports (e.g., sent / provided by the sensing entity 604). The capability request may instruct the sensing node 602 to provide / send to the sensing entity 604 the information provided at each sensing opportunity (e.g., Figure 7 702 in; Figure 8 802) of multiple assumptions (e.g., Figure 7 706, 708; Figure 8 At least one of the capabilities of operating under 806, 808, 812 in the example, including but not limited to: sensing assumptions supported by the sensing node 602 (e.g., Figure 7 706, 708; Figure 8 806, 808, 812 in FIG), the buffering capacity of the sensing node 602, the processing capacity of the sensing node 602, the relevant sensing capabilities of the sensing node 602, etc. In some aspects, the provision / receipt of the capability request may be optional (e.g., the sensing node 902 may autonomously provide its sensing capabilities without or before receiving a capability request from the sensing entity 904).

[0143] At 1104, the sensing node provides a capability indication of the sensing node to the sensing entity, wherein the capability indication of the sensing node indicates capabilities of the sensing node associated with multi-hypothesis measurement and reporting, the capabilities of the sensing node including at least one of a number of sensing hypotheses supported by the sensing node, a buffering capacity of the sensing node, a processing capacity of the sensing node, or an associated sensing capability of the sensing node. For example, the providing may be performed at least in part by component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9Examples are illustrated of the sensing node 602 sending / providing such an indication of capability from a sensing entity (e.g., the sensing entity 604).

[0144] The sensing node 602 can be configured to provide an indication of capability 606 of the sensing node 602 for the sensing entity 604. The indication of capability 606 of the sensing node 602 can indicate a capability of the sensing node associated with multi-hypothesis measurement and reporting. For example, in aspects, the indication of capability 606 can indicate a capability to operate under a number of hypotheses (e.g., Figure 7 of 702; Figure 8 of 802, 812) in each sensing occasion (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812), including a number of sensing hypotheses supported by the sensing node 602 (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812), a buffering capability of the sensing node 602, a processing capability of the sensing node 602, a related sensing capability of the sensing node 602, etc. The indication of capability 606 can be based on a solicited request, e.g., from the sensing entity 604, or can be unsolicited / requested, e.g., provided / transmitted to the sensing entity 604 without a request. That is, the sensing node 602 can be configured to provide the indication of capability 606 in response to a request for capability or without / preceding a request for capability. In aspects, the sensing entity 604 can be configured to request the sensing node 602 to indicate its capability to run multiple hypotheses measurement and reporting. In such aspects, the sensing node 602 can be configured to indicate its support for running multiple hypotheses via the indication of capability 606. The indication of capability 606 can also indicate how many hypotheses the sensing node 602 can support and / or any related sensing capabilities, as well as the buffering / processing capabilities of the sensing node 602.

[0145] At 1106, the sensing node receives, from the sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. For example, the reception can be performed, at least in part, by the component 198. Figure 6 , Figure 7 , Figure 8 , Figure 9 Examples are illustrated of the sensing node 602 receiving such a sensing configuration from a sensing entity (e.g., the sensing entity 604).

[0146] The sensing node 602 can be configured to receive a sensing configuration 608 from the sensing entity 604. The sensing configuration 608 can indicate a sensing hypothesis (e.g., Figure 7 of 706, 708; Figure 8a total number of sensing hypotheses (e.g., 706, 708 in FIG. 6) and at least a first sensing hypothesis (e.g., Figure 7 706 in FIG. 6; Figure 8 706 in FIG. 6; Figure 7 706 in FIG. 6; Figure 8 706 in FIG. 6; Figure 7 708 in FIG. 6; Figure 8 808 in FIG. 6. For example, the sensing entity 604 can be configured to transmit / provide the sensing configuration 608 to the sensing node 602 that indicates the sensing hypotheses (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 806, 808, 812 in FIG. 6. In aspects, each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and a corresponding reference signal (e.g., as a set, as a set of different signals, etc.) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 806, 808, 812 in FIG. 6. In aspects, each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and a corresponding reference signal (e.g., as a set, as a set of different signals, etc.) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 9 RS 1 / RS 2 for 916, 918, 920 in FIG. 9). The sensing configuration 608 can indicate, from a total number of sensing hypotheses (e.g., Figure 7 706, 708 in FIG. 6; Figure 8 806, 808, 812 in FIG. 6. In aspects, each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and a corresponding reference signal (e.g., as a set, as a set of different signals, etc.) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 7 704 in FIG. 6; Figure 8 804, 810 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 7 702 in FIG. 6; Figure 8 802 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 7 706 in FIG. 6; Figure 8 806 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 7 704 in FIG. 6; Figure 8 804, 810 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 7 702 in FIG. 6; Figure 8 802 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 7 708 in FIG. 6; Figure 8 808 in FIG. 6. In aspects, the sensing configuration 608 can indicate a first sensing hypothesis (e.g., Figure 9912 in ), and the sensing configuration may further indicate at least one of: a set of sensing measurement data for reporting / sending (eg, Figure 6 612 in; Figure 9 916, 918, 920) of the same sending timing (for example, Figure 6 612 in; Figure 9 916 in), or for sensing a first set of measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) of the first sending opportunity (for example, Figure 6 612 in; Figure 9 918) and a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920) of the second sending opportunity (for example, Figure 6 612 in; Figure 9 In various aspects, the sensing configuration 608 may indicate the sensing hypotheses (eg, Figure 7 706, 708; Figure 8 A set of corresponding reference signals associated with each sensing hypothesis in 806, 808, 812) (e.g., Figure 9 RS 1 / RS 2 for 916, 918, 920) and the sending timing for the report (e.g., Figure 6 612 in; Figure 9 916, 918, 920 in ), as described herein, and corresponding to a set of reference signals (e.g., Figure 9 One or more of the reference signals in RS 1 / RS 2 for 916, 918, 920) may be different from the set of corresponding reference signals (eg, Figure 9 In various aspects, based on the sensing configuration 608, a first set of sensing measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) or a second set of sensory measurement data (e.g., Figure 6 612 in; Figure 9 At least one of 914, 916, 920) in the example may be combined with at least one of the range, angle, or Doppler measurements (e.g., from Figure 9 912) and at least one corresponding reference signal (e.g., Figure 9 The RS 1 / RS 2 for 916, 918, and 920 are associated.

[0147] At 1108, the sensing node measures a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. For example, the measurements can be performed at least in part by the component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example is illustrated in which the sensing node 602 measures in this manner.

[0148] The sensing node 602 can be configured to measure (at 610) a first set of sensing measurement data associated with a first sensing hypothesis (e.g., Figure 7 at 706; Figure 8 at 806) and a second set of sensing measurement data associated with a second sensing hypothesis (e.g., Figure 6 at 612; Figure 9 at 914, 916, 918) and a second set of sensing measurement data associated with a second sensing hypothesis (e.g., Figure 7 at 708; Figure 8 at 808). For example, the sensing node 602 can perform sensing operations for the measurements (at 610) according to the configured sensing hypotheses in the sensing configuration 608 (e.g., Figure 6 at 706, 708; Figure 9 at 806, 808, 812). The sets of sensing measurement data measured (at 610) via the sensing operations can include one or more of the indicated sensing measurements from a subset of ranges, angles, Doppler measurements, etc. from the sensing configuration 608 (e.g., from 912). In aspects, the measurements (at 610) can include sensing measurements associated with one or more TRPs (e.g., 908) based on the sensing configuration 608. In aspects, the sensing node 602 can be configured to measure (at 610) the first set of sensing measurement data associated with the first sensing hypothesis (e.g., Figure 7 at 706; Figure 8 at 806) and the second set of sensing measurement data associated with the second sensing hypothesis (e.g., Figure 9 at 612; Figure 9 at 914, 916, 918) in a subset of sensing occasions (e.g., Figure 7 at 704; Figure 8 at 804, 810) in the set of sensing resources (e.g., Figure 7 at 702; Figure 8 at 802) of the sensing configuration 608. In aspects, the sensing node 602 can be configured to measure (at 610) the first set of sensing measurement data associated with the first sensing hypothesis (e.g., Figure 7 at 706; Figure 8 at 806) and the second set of sensing measurement data associated with the second sensing hypothesis (e.g., Figure 6 at 612; Figure 9 at 914, 916, 918) in a subset of sensing occasions (e.g., Figure 7 at 704; Figure 8Sensing opportunity in 804, 810) ( Figure 7 702 in; Figure 8 802) in a complete set of measurements with a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920 in the .

[0149] Measurements of the first set of sensing measurements and the second set of sensing measurements by the sensing node 602 (at 610), and measurement data / indications 612 (eg, Figure 9 914, 916, 918, 920), a first set of sensory measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920 in ), and / or a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) (e.g., Figure 9 914, 916, 918, 920) (eg, measurement data / indication 612) in various aspects may also include information related to the first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806 ) associated with a first set of sensory measurement data (eg, Figure 9 914, 916, 918 in and the second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) associated with the second set of sensory measurement data (eg, Figure 9 914, 916, 920) of one or more of the measurement characteristics, outlier rejection and / or measurement efficacy of one or more of the above. That is, while aspects herein provide network-based solutions, multi-hypothesis measurements for sensing computations are also applicable to UE-based solutions. Thus, in aspects of a UE-based sensing session, a sensing node (e.g., Figure 6 602 in; Figure 9 902 in the embodiment) may configure the UE for multi-hypothesis measurement, and the UE may provide a sensing entity (eg, Figure 6 604 in; Figure 9 904) reports which sensing hypothesis (e.g., Figure 7better results. In aspects, the measurements (at 610) can be part of a sensing session (e.g., as in Figure 7 700 in FIG. 7; Figure 8 800 in FIG. 8), the part including at least a complete set of sensing occasions (e.g., Figure 7 704 in FIG. 7; Figure 8 804, 810 in FIG. 8) in FIG. 6. Figure 7 702 in FIG. 7; Figure 8 802 in FIG. 8).

[0150] At 1110, the sensing node transmits, for the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) the indication of the first sensing hypothesis and the second sensing hypothesis. The transmitting can be performed, at least in part, by the component 198, for example. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 FIG. 6 illustrates an example of the sensing node 602 transmitting a set of sensing measurement data and / or an indication for a sensing entity (e.g., the sensing entity 604).

[0151] The sensing node 602 can be configured to transmit the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9). For example, the sensing node 602 can be configured to transmit, for the sensing entity 604 and as the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9), at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data (e.g., Figure 9 914, 916, 918, 920 in FIG. 9), or (2) the indication of the first sensing hypothesis (e.g., Figure 7 706 in FIG. 7; Figure 8 806 in FIG. 8). Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8). Figure 9 914, 916, 918, 920 in FIG. 9) can include a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 914, 916, 918 in FIG. 9) and the second set of sensing measurement data (e.g., Figure 9 914, 916, 920 in FIG. 9) can include a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in FIG. 9), as indicated in the sensing configuration 608. The indication of the first sensing hypothesis (e.g., Figure 7706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 The indication of 808 in the example may indicate a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806) or a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808 in ) for measuring (eg, at 610) a first set of sensory measurement data or a second set of sensory measurement data (eg, Figure 9 For example, at the sensing node 602 or the network node (e.g., Figure 9 906 in the base station 906) rather than the sensing entity 604 activating the sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808), the sensing node 602 may be configured to send the utilized sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808) as measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) so that the sensing entity 604 knows the sensing assumptions utilized (e.g., Figure 7 706, 708; Figure 8 806, 808 in the above text).

[0152] In various aspects, a first set of sensory measurement data (e.g., Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) or a first sensing hypothesis for the measurement data / indication 612 (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808) (e.g., Figure 9 914, 916, 918, 920) may also include information associated with at least one of the following: information associated with the first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806 ) a first set of associated sensory measurement data (eg, Figure 9 914, 916, 918) and the second sensing hypothesis (e.g., Figure 7 708 in; Figure 8a second set of sensing measurement data (e.g., 808) associated with the first set of sensing measurement data (e.g., 806) in the same transmission occasion. Figure 9 a measurement characteristic, an outlier rejection, or a measurement efficacy of one or more of 914, 916, 920 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion.

[0153] In some aspects, a first set of sensing measurement data (e.g., 612) is transmitted in the same transmission occasion as the measurement data / indication 612. Figure 9 a second set of sensing measurement data (e.g., 808) associated with the first set of sensing measurement data (e.g., 806) in the same transmission occasion. Figure 9 914, 916, 920 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9 914, 916, 918 in the first set of sensing measurement data (e.g., 612) in the same transmission occasion. Figure 9

[0154] At 1112, a determination can be made as to whether a hypothesis activation was utilized. For example, the determination can be performed at least in part by component 198. If so, flow diagram 1100 can continue to 1114; if not, flow diagram 1100 can continue to 1116.

[0155] At 1114, the sensing node receives a hypothesis activation from the sensing entity or from the network node after transmitting the sensing configuration, where the hypothesis activation indicates at least one of a first sensing hypothesis or a second sensing hypothesis from a total number of sensing hypotheses for the measurements. For example, the receiving can be performed at least in part by component 198. Figure 6 , Figure 7 , Figure 8 , Figure 9 The sensing node 902 (e.g., Figure 6 ​additional aspects of the sensing entity 604 in FIG. 10B) from the sensing entity (e.g., can be a network entity such as an LMF) that receives the example of the hypothetical activation. Figure 6

[0156] In aspects, as described supra, the hypothetical activation (e.g., Figure 8 Figure 9 Figure 7 Figure 8 Figure 9 Figure 8 Figure 8 Figure 6 Figure 8 Figure 7 Figure 8 Figure 8

[0157] In some aspects, the hypothetical activation 910 (e.g., 816 in FIG. 10B) can be received by the sensing node 902 via at least one of RRC signaling, a medium access control (MAC) control element (MAC-CE), or DCI, as transmitted / provided from the base station 906 (e.g., from a network node). In cases where the sensing entity 904 can be a network entity such as an LMF, the communication between the sensing entity 904 and the sensing node 902 can be via appropriate signaling such as LTE Positioning Protocol (LPP), which can be higher layer signaling. The base station 906 (e.g., network node) can be configured to dynamically activate the sensing hypotheses (e.g., 706, 708 in FIG. 10A; 806, 808, 812 in FIG. 10B) via the hypothetical activation 910 (e.g., 816 in FIG. 10B) based on certain conditions. Figure 8 Figure 8 Figure 7 Figure 8 ​​​​​​​​​​​​​​​​As an example, the base station 906 may know that when sensing the reference signal (e.g., Figure 9 RS 1, RS 2) in the transmission, the beam switching can make the sensing reference signal (for example, Figure 9 Based on this knowledge, the base station 906 can be configured to activate the RS 1, RS 2 in the RS 1, RS 2 via the hypothesis activation 910 (eg, Figure 8 816 in ) to activate the sensing hypothesis (eg, Figure 7 706, 708; Figure 8 A subset of 806, 808, and 812). Figure 8 As shown, a third sensing hypothesis 812 may be activated.

[0158] In some aspects, the sensing node 902 may be a SL UE, the sensing entity 904 may be a UE, and assuming activation 910 (eg, Figure 8 816) can be associated with a coherence condition of the sensing node 902. Assuming activation 910 (eg, Figure 8 816) may be received by the sensing node 902 via a sidelink channel through at least one of direct communication (PC5) RRC signaling, PC5 MAC-CE, SL control information (SCI) phase 1, or SCI phase 2, as sent / provided from the sensing entity 904. As an example, the UE acting as the sensing entity 904 may be configured to configure a plurality of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812 in ), assuming that 910 is activated (e.g., Figure 8 816) triggering / selecting at least one sensing hypothesis from the plurality of sensing hypotheses (eg, Figure 7 706, 708; Figure 8 806, 808, 812 in FIG. ). The SL UE may then utilize the triggered / selected sensing hypothesis (e.g., Figure 7 706, 708; Figure 8 806, 808, 812) to perform multi-hypothesis measurement (e.g., at 610), and the resulting sensed measurement data (e.g., a combination thereof: Figure 6 612 in; Figure 9 914, 916, 918, 920) and the sensing assumptions utilized (e.g., Figure 7 706, 708; Figure 8 806, 808, and 812) are reported back to the UE.

[0159] In some aspects, via hypothesis activation 910 (e.g., Figure 8 816) activation of a hypothesis measurement and corresponding reporting can be based on one or more events. That is, aspects of the present invention provide that the sensing node 902 triggers the hypothesis activation 910 (e.g., Figure 8 816 in ), as noted above. Once a configured event is triggered, one or more sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812) can be used autonomously by the sensing node 902 to perform sensing measurements to generate sensing measurement data (e.g., at 610) (e.g., a combination of: Figure 6 612 in; Figure 9 914, 916, 918, 920 in FIG), the sensing measurement data may then be reported by the sensing node 902 to the sensing entity 904. As an example of a triggering event, the sensing node 902 (e.g., UE) may experience a mobility event and / or a cell handover. In such a case, the sensing node 902 may move between a first area and a second area or switch from a first cell to a second cell. For example, within the first area, the sensing node may determine the location of the sensing entity 904 based on a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806) and / or a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 Based on the mobility event experienced by the sensing node 902 (eg, moving to a second area), the sensing node 902 may trigger a hypothesis activation 910 (eg, Figure 8 816 in the embodiment), so that in the second area, the sensing node can be based on the third sensing hypothesis and / or the fourth sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808, 812) to perform sensing measurements.

[0160] From 1114 , flowchart 1100 may continue to 1116 .

[0161] At 1116, a determination can be made as to whether the adjusted sensing configuration was utilized. For example, the determination can be performed at least in part by component 198. If so, flowchart 1100 can proceed to 1118; if not, flowchart 1100 can continue to repeat its operations.

[0162] At 1118, the sensing node receives, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of a total number of adjusted sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. For example, the receiving can be performed, at least in part, by component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example of the sensing node 602 receiving an adjusted sensing configuration from a sensing entity (e.g., sensing entity 604) is illustrated.

[0163] As described in aspects herein, and with reference to Figure 6 and call flow diagram 600, the sensing node 602 can be configured to transmit, to the sensing entity 604, information associated with measurement characteristics, outlier rejection, and / or measurement efficacy based on the measurements (at 610), which can be included in a set of transmitted sensing measurement data (e.g., 914, 916, 920 in Figure 9 Aspects herein provide that the sensing node 602 can be configured to receive, e.g., from the sensing entity 604, an adjusted sensing configuration, which can be additional aspects of the sensing configuration 608 in call flow diagram 600 of Figure 6 Aspects. In aspects, the adjusted sensing configuration can be associated with an indication of a first sensing hypothesis (e.g., 706 in Figure 7 ; Figure 8 in 806) and a second sensing hypothesis (e.g., 708 in Figure 7 ; Figure 8 in 808), described similarly above for the sensing configuration 608, and the adjusted sensing configuration can indicate at least one of a total number of adjusted sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis (e.g., 810 in Figure 8 Aspects. In aspects, the adjusted sensing configuration can be provided from the sensing entity 604 to the sensing node 602 based on the information associated with measurement characteristics, outlier rejection, and / or measurement efficacy.

[0164] At 1120, the sensing node 602 measures a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the total number of adjusted sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. For example, the measuring can be performed, at least in part, by component 198. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example of the sensing node 602 measuring sensing measurement data is illustrated.

[0165] For example, based on the adjusted sensing configuration described herein, the sensing node 602 can thus be enabled / configured to measure (e.g., described similarly to for 610) a third set of sensing measurement data and / or a fourth set of sensing measurement data associated with the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis (e.g., Figure 8 810 in FIG. 8), described similarly to for the measurements (at 610) in the call flow diagram 600 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9), described similarly to for the sending of the measurement data / indications 612 (e.g., similarly to

[0166] At 1122, the sensing node transmits the third set of sensing measurement data and the fourth set of sensing measurement data for the sensing entity. For example, the transmitting can be performed at least in part by the component 198. Figure 6 Figure 7 Figure 8 Figure 9 An example is illustrated of the sensing node 602 transmitting the set (and / or indication) of sensing measurement data for the sensing entity (e.g., the sensing entity 604).

[0167] The sensing node 602 can be configured to transmit the third set of sensing measurement data and the fourth set of sensing measurement data for the sensing entity 604 (e.g., similarly to Figure 9 914, 916, 918, 920 in FIG. 9), described similarly to for the sending of the measurement data / indications 612 (e.g., similarly to Figure 9 914, 916, 918, 920 in FIG. 9). In aspects, such transmitting can be based on the adjusted sensing configuration in 1120. From 1122, the flow diagram 1100 can continue to repeat its operations.

[0168] In some aspects, the determining at 1112 and / or 1116 can be optional, and the determining at 1112 and / or 1116 can be reversed in order (e.g., the determining at 1116 is performed before 1112), or in some aspects, performed at least partially concurrently.

[0169] Figure 12 Flow diagram 1200 is a method of wireless communication in various aspects. The method can be performed by a sensing entity such as an LMF or a base station (e.g., the base station 102; the LMF 166; the sensing entity 604, 904; the network entity 1502, 1602). In some aspects, the method can include aspects described in connection with the communication flow in Figure 6 FIG. 11, and / or aspects described in connection with Figures 7 to 9 ​​​Aspects described in the detailed description. The method provides a multi-hypothesis measurement configuration for sensing measurements in RF sensing that enables a wireless device (e.g., a sensing node) and a base station / LMF (e.g., a sensing entity) to improve and maintain sensing measurement performance and efficiency by configuring and utilizing multiple sensing hypotheses.

[0170] At 1202, the sensing node receives, from the sensing node, a capability indication of the sensing node, where the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. For example, the receiving can be performed at least in part by component 199. Figures 6 to 9 An example is illustrated of the sensing entity 604 receiving a capability indication of the sensing node (e.g., sensing node 602) from the sensing node.

[0171] The sensing node 602 can be configured to provide a capability indication 606 of the sensing node 602 for reception by the sensing entity 604. The capability indication 606 of the sensing node 602 can indicate a capability of the sensing node associated with multi-hypothesis measurement and reporting. For example, in aspects, the capability indication 606 can indicate a capability of the sensing node 602 to operate under a number of hypotheses (e.g., Figure 7 of 702; Figure 8 of 802); Figure 7 of 706, 708; Figure 8 of 806, 808, 812). The capability indication 606 can indicate, for example, a number of sensing hypotheses (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812), a buffering capability of the sensing node 602, a processing capability of the sensing node 602, a related sensing capability of the sensing node 602, etc. The capability indication 606 can be based on a solicited request, for example, from the sensing entity 604, or can be unsolicited / requested, e.g., provided / transmitted to the sensing entity 604 without a request. That is, the sensing node 602 can be configured to provide the capability indication 606 in response to a capability request or without / preceding a capability request. In aspects, the sensing entity 604 can be configured to request the sensing node 602 to indicate its capability to run multiple hypothesis measurements and reporting. In such aspects, the sensing node 602 can be configured to indicate its support for running multiple hypotheses via the capability indication 606. The capability indication 606 can also indicate how many hypotheses the sensing node 602 can support and / or any related sensing capabilities, as well as buffering / processing capabilities of the sensing node 602.

[0172] At 1204, the sensing entity transmits a sensing configuration for the sensing node, wherein the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. For example, the transmitting may be performed at least in part by component 199. Figures 6 to 9 An example is illustrated in which the sensing entity 604 transmits / provides a sensing configuration to a sensing node (eg, the sensing node 602 ).

[0173] The sensing entity 604 may be configured to provide / send a sensing configuration 608 to the sensing node 602. The sensing configuration 608 may indicate a sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808, 812) and at least a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806) and different from the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806) of the second sensing hypothesis (eg, Figure 7 708 in; Figure 8 For example, the sensing entity 604 may be configured to send / provide a sensing configuration 608 to the sensing node 602, the sensing configuration indicating sensing assumptions (e.g., Figure 7 706, 708; Figure 8 806, 808, 812) in the number (including the hypothesis itself). In various aspects, for the total number of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812 in the sensing configurations 608), each sensing hypothesis configuration in the sensing configurations 608 may specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and corresponding reference signals (e.g., as a set, as a set of different signals, etc.) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 9 RS 1 / RS2 for 916, 918, 920 in ). Sensing configuration 608 can be derived from the total number of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812) in the indication and sensing resource set ( Figure 7 704 in; Figure 8 Sensing opportunity in 804, 810) ( Figure 7 702 in; Figure 8 802) corresponds to a first sensing hypothesis (eg, Figure 7706 in; Figure 8 806) and / or with the sensing resource set ( Figure 7 704 in; Figure 8 Sensing opportunity in 804, 810) ( Figure 7 702 in; Figure 8 802 ) corresponds to a complete set of second sensing hypotheses (eg, Figure 7 708 in; Figure 8 In various aspects, the sensing configuration 608 may also indicate (e.g., at 610) the sensing measurements as a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in ), and the sensing configuration may further indicate at least one of: a set of sensing measurement data for reporting / sending (eg, Figure 6 612 in; Figure 9 916, 918, 920) of the same sending timing (for example, Figure 6 612 in; Figure 9 916 in), or for sensing a first set of measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) of the first sending opportunity (for example, Figure 6 612 in; Figure 9 918) and a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920) of the second sending opportunity (for example, Figure 6 612 in; Figure 9 In various aspects, the sensing configuration 608 may indicate the number of sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 A set of corresponding reference signals associated with each sensing hypothesis in 806, 808, 812) (e.g., Figure 9 RS 1 / RS 2 for 916, 918, 920) and the sending timing for the report (e.g., Figure 6 612 in; Figure 9 916, 918, 920 in ), as described herein, and corresponding to a set of reference signals (e.g., Figure 9 One or more of the reference signals in RS 1 / RS 2 for 916, 918, 920) may be different from the set of corresponding reference signals (eg, Figure 9 In various aspects, based on the sensing configuration 608, a first set of sensing measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) or a second set of sensory measurement data (e.g., Figure 6 612 in; Figure 9 At least one of 914, 916, 920) in the example may be combined with at least one of the range, angle, or Doppler measurements (e.g., from Figure 9 912) and at least one corresponding reference signal (e.g., Figure 9 The RS 1 / RS 2 for 916, 918, and 920 are associated.

[0174] Based on the sensing configuration 608, the sensing node 602 may be configured to measure (at 610) a signal that is consistent with a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806)) a first set of associated sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) and the second sensing hypothesis (e.g., Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 920), as described herein.

[0175] For example, the sensing node 602 may determine the sensing assumptions configured in the sensing configuration 608 (eg, Figure 7 706, 708; Figure 8 806, 808, 812 in the sensing configuration 608) to perform a sensing operation for measuring (at 610). The set of sensing measurement data obtained via the sensing operation measured (at 610) may include a subset of range, angle, Doppler measurements, etc. from the sensing configuration 608 (e.g., from Figure 9 In various aspects, the measurements (at 610) may include one or more of the indicated sensing measurements of the sensing configuration 608 and one or more TRPs (e.g., Figure 9 In various aspects, the sensing node 602 may be configured to perform sensing measurements associated with the sensing resource set ( Figure 7 704 in; Figure 8 Sensing opportunity in 804, 810) ( Figure 7 702 in; Figure 8 802 ) are measured (at 610 ) in a subset of the data with a third sensing hypothesis (e.g., Figure 7 706 in; Figure 8a third set of sensing measurement data (e.g., 612) associated with a third sensing hypothesis (e.g., Figure 6 612 in FIG. 6; Figure 9 914, 916, 918 in FIG. 9 and 920 in FIG. 9. Figure 7 704 in FIG. 7; Figure 8 804, 810 in FIG. 8. Figure 7 702 in FIG. 7; Figure 8 802 in FIG. 8. Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8. Figure 6 612 in FIG. 6; Figure 9 914, 916, 920 in FIG. 9.

[0176] measurement of a set of sensing measurements by the sensing node 602 (at 610), and the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9), and / or an indication of the third sensing hypothesis (e.g., Figure 7 706 in FIG. 7; Figure 8 806 in FIG. 8. Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8. Figure 9 914, 916, 918, 920 in FIG. 9) (e.g., the measurement data / indication 612) can also include, in aspects, additional information associated with measurement characteristics, outlier rejection, and / or measurement efficacy of one or more of the third set of sensing measurement data (e.g., Figure 9 914, 916, 918 in FIG. 9. Figure 9 914, 916, 920 in FIG. 9.

[0177] At 1206, the sensing entity receives, from the sensing node, at least one of (1) a first set of sensing measurement data associated with a first sensing hypothesis and a second set of sensing measurement data associated with a second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. For example, the reception can be performed at least in part by the component 199. Figures 6 to 9 Examples are illustrated of the sensing entity 604 receiving a set of sensing measurement data and / or an indication from a sensing node (e.g., the sensing node 602).

[0178] The sensing entity 604 can be configured to receive the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9). For example, as the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG), the sensing node 602 may be configured to send and the sensing entity 604 may be configured to receive at least one of: (1) a first set of sensing measurement data and a second set of sensing measurement data (e.g., Figure 9 914, 916, 918, 920), or (2) a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808). Measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) of the first set of sensory measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) may include a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in ), as indicated in the sensing configuration 608. For the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 The indication of 808 in the example may indicate a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806) or a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808 in ) for measuring (eg, at 610) a first set of sensory measurement data or a second set of sensory measurement data (eg, Figure 9 For example, at the sensing node 602 or the network node (e.g., Figure 9 906 in the base station 906) rather than the sensing entity 604 activating the sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808), the sensing node 602 may be configured to send and the sensing entity 604 may be configured to receive the utilized sensing hypothesis (eg, Figure 7 706, 708; Figure 8 806, 808) as measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) so that the sensing entity 604 knows the sensing assumptions utilized (e.g., Figure 7706, 708 in FIG. 7; Figure 8 806, 808 in FIG. 8).

[0179] In aspects, the first set of sensing measurement data (e.g., Figure 9 the second set of sensing measurement data (e.g., Figure 9 the first sensing hypothesis (e.g., Figure 7 706 in FIG. 7; Figure 8 806 in FIG. 8) and the second sensing hypothesis (e.g., Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8) of the measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920 in FIG. 9) can also include information associated with one or more of: a first set of sensing measurement data (e.g., Figure 7 706 in FIG. 7; Figure 8 806 in FIG. 8) associated with the first sensing hypothesis (e.g., Figure 9 914, 916, 918 in FIG. 9) and a second set of sensing measurement data (e.g., Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8) associated with the second sensing hypothesis (e.g., Figure 9 914, 916, 920 in FIG. 9) including a measurement characteristic, an outlier rejection, or a measurement efficacy.

[0180] In some aspects, the first set of sensing measurement data (e.g., Figure 9 914, 916, 918 in FIG. 9) and the second set of sensing measurement data (e.g., Figure 9 914, 916, 920 in FIG. 9) are received in the same transmission occasion on a first reference signal (e.g., Figure 9 RS 1, RS 2 in FIG. 7) (e.g., as configured via the sensing configuration 608). In some aspects, the first set of sensing measurement data (e.g., Figure 9 916 on RS 1 in FIG. 9) is received in the first transmission occasion (e.g., Figure 9 918 in FIG. 9) is received in the second transmission occasion (e.g., Figure 9 914, 916, 918 in FIG. 9) (e.g., the measurement data / indication 612) is performed on a first reference signal (e.g., on RS 1 in FIG. 7) of the set of corresponding reference signals (e.g., Figure 9 RS 1, RS 2 in FIG. 7) and in the second transmission occasion (e.g., Figure 9 RS 1 in FIG. 7) and in the second transmission occasion (e.g., Figure 9920 in which a second set of sensory measurement data is received (eg, Figure 9 914, 916, 920) (measurement data / indication 612) is a set of corresponding reference signals (eg, Figure 9 RS 1, RS 2) in the second reference signal (for example, in Figure 9 2 in RS 2).

[0181] The sensing node 602 may be configured to transmit, and the sensing entity 604 may be configured to receive, information associated with measurement characteristics, outlier rejection, and / or measurement efficacy based on the measurements described above (at 610). Aspects herein provide that the sensing node 602 may be configured to receive an adjusted sensing configuration (e.g., as provided / sent by the sensing entity 604), which may be Figure 6 The adjusted sensing configuration may be associated with an adjustment to the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808 in ), similarly as described above for sensing configuration 608, and the adjusted sensing configuration may indicate a total number of adjustments of the sensing hypothesis, at least one of the adjusted first sensing hypothesis or the adjusted second sensing hypothesis (e.g., Figure 8 In various aspects, an adjusted sensing configuration can be provided from the sensing entity 604 to the sensing node 602 based on information associated with measurement characteristics, outlier rejection, and / or measurement efficacy.

[0182] Thus, the sensing node 602 may be enabled / configured by the sensing entity 604 to measure (e.g., similarly as described with respect to 610) the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis (e.g., Figure 8 810) associated with a third set of sensory measurement data and / or a fourth set of sensory measurement data (eg, similar to Figure 9 914, 916, 918, 920 in call flow diagram 600), as similarly described for measurement (at 610) in call flow diagram 600. Sensing node 602 may be configured to then send, and sensing entity 604 may be configured to receive, a third set of sensing measurement data and a fourth set of sensing measurement data (e.g., as similar to Figure 9 914, 916, 918, 920 in ), as similarly described for sending measurement data / indication 612 (e.g., as similar to Figure 9 914, 916, 918, 920 in the .

[0183] Figure 13 FIG. 13 is a flow diagram 1300 of a method of wireless communication in various aspects. The method can be performed by a sensing entity such as an LMF or a base station (e.g., the base station 102; the LMF 166; the sensing entity 604, 904; the network entity 1502, 1302). In some aspects, the method can include aspects described in connection with the communication flow in Figure 6 , Figure 9 Figure 7 , Figure 8 The method provides a multi-hypothesis measurement configuration for sensing measurements in RF sensing that enables a wireless device (e.g., a sensing node) and a base station / LMF (e.g., a sensing entity) to improve and maintain sensing measurement performance and efficiency by configuring and utilizing multiple sensing hypotheses.

[0184] At 1302, the sensing entity transmits a capability request of a sensing node prior to receiving an indication of capabilities of the sensing node. For example, the transmission can be performed at least in part by component 199. Figures 6 to 9 An example is illustrated in which the sensing entity 604 transmits / provides such a capability request for a sensing node (e.g., the sensing node 602).

[0185] The sensing entity 604 can be configured to provide / transmit and the sensing node 602 can be configured to receive a capability request of the sensing node 602 for sensing capabilities of the sensing node 602. In aspects, the sensing node 602 can receive a capability request (as transmitted / provided by the sensing entity 604) associated with multiple hypothesis measurements and reporting. The capability request can indicate at least one of the capabilities of the sensing node 602 to provide / transmit to the sensing entity 604 an ability to operate under multiple hypotheses (e.g., Figure 7 at 702 in FIG. 7; Figure 8 at 802 in FIG. 8; Figure 7 at 706, 708 in FIG. 7; Figure 8 at 806, 808, 812 in FIG. 8. Figure 7 at 706, 708 in FIG. 7; Figure 8 at 806, 808, 812 in FIG. 8.In some aspects, the provision / reception of the capability request can be optional (e.g., the sensing node 902 can autonomously provide its sensing capabilities without or prior to receiving a capability request from the sensing entity 904).

[0186] At 1304, the sensing entity receives, from the sensing node, an indication of capabilities of the sensing node, where the indication of capabilities of the sensing node indicates capabilities of the sensing node associated with multi-hypothesis measurement and reporting. For example, the receiving can be performed at least in part by component 199. Figures 6 to 9 An example is illustrated in which the sensing entity 604 receives such an indication of capabilities of the sensing node (e.g., from the sensing node 602 / its indication of capabilities).

[0187] The sensing node 602 can be configured to provide and the sensing entity 604 can be configured to receive an indication of capabilities 606 of the sensing node 602. The indication of capabilities 606 of the sensing node 602 can indicate capabilities of the sensing node associated with multi-hypothesis measurement and reporting. For example, in aspects, the indication of capabilities 606 can indicate a capability of the sensing node 602 to operate under a number of hypotheses (e.g., Figure 7 of 702; Figure 8 of 802) in each sensing occasion (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812), including: a number of sensing hypotheses supported by the sensing node 602 (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812), a buffering capability of the sensing node 602, a processing capability of the sensing node 602, a related sensing capability of the sensing node 602, etc. The indication of capabilities 606 can be requested based on, for example, a solicitation from the sensing entity 604 at 1102, or can be unsolicited / requested, e.g., provided / transmitted to the sensing entity 604 without a request. That is, the sensing node 602 can be configured to provide the indication of capabilities 606 in response to a request for capabilities or without / prior to a request for capabilities. In aspects, the sensing entity 604 can be configured to request that the sensing node 602 indicate its capability to run multiple hypotheses of measurement and reporting. In such aspects, the sensing node 602 can be configured to indicate its support for running multiple hypotheses via the indication of capabilities 606. The indication of capabilities 606 can also indicate how many hypotheses the sensing node 602 can support and / or any related sensing capabilities, as well as buffering / processing capabilities of the sensing node 602.

[0188] At 1306, the sensing node transmits, for the sensing node, a sensing configuration, where the sensing configuration is based on the indication of capabilities of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. For example, the transmitting can be performed at least in part by component 199. Figures 6 to 9 An example is illustrated in which the sensing entity 604 transmits / provides such a sensing configuration for the sensing node (e.g., sensing node 602).

[0189] The sensing entity 604 can be configured to transmit a sensing configuration 608 for the sensing node 602. The sensing configuration 608 can be based on the capability indication 606. The sensing configuration 608 can indicate a total number of sensing hypotheses (e.g., 706, 708 in FIG. 7; Figure 7 ; Figure 8 806, 808, 812 in FIG. 8) and at least a first sensing hypothesis (e.g., 706 in FIG. 7; Figure 7 ; Figure 8 806 in FIG. 8) and a second sensing hypothesis (e.g., 706 in FIG. 7; Figure 7 ; Figure 8 806 in FIG. 8) different from the first sensing hypothesis (e.g., 706 in FIG. 7; Figure 7 708 in FIG. 7; Figure 8 808 in FIG. 8). For example, the sensing entity 604 can be configured to transmit / provide the sensing configuration 608 for the sensing node 602 that indicates a number of sensing hypotheses (e.g., 706, 708 in FIG. 7; Figure 7 ; Figure 8 806, 808, 812 in FIG. 8) (including the hypotheses themselves) for obtaining sensing measurement data (at 610) for a sensing operation. In aspects, for the total number of sensing hypotheses (e.g., 706, 708 in FIG. 7; Figure 7 ; Figure 8 806, 808, 812 in FIG. 8), each sensing hypothesis configuration in the sensing configuration 608 can specify a set of sensing measurements to be performed (e.g., at 610) by the sensing node 602 and a corresponding reference signal (e.g., as a set, as a set of different signals, etc.) to be used by the sensing node 602 to report the set of sensing measurements (e.g., at 610) (e.g., Figure 9 RS 1 / RS 2 for 916, 918, 920 in FIG. 9). The sensing configuration 608 can indicate, from the total number of sensing hypotheses (e.g., 706, 708 in FIG. 7; Figure 7 ; Figure 8 806, 808, 812 in FIG. 8), a first sensing hypothesis (e.g., 706 in FIG. 7; Figure 7 704 in FIG. 7; Figure 8 804, 810 in FIG. 8) corresponding to a subset of sensing occasions (e.g., 702 in FIG. 7; Figure 7 ; Figure 8 802 in FIG. 8) and / or a second sensing hypothesis (e.g., 706 in FIG. 7; Figure 7 ; Figure 8 806 in FIG. 8) corresponding to a full set of sensing occasions (e.g., 702 in FIG. 7; Figure 7 704 in FIG. 7; Figure 8 804, 810 in FIG. 8) corresponding to a full set of sensing occasions (e.g., 702 in FIG. 7; Figure 7 ; Figure 8 802 in FIG. 8) corresponding to a full set of sensing occasions (e.g., 702 in FIG. 7; Figure 7 708 in FIG. 7; Figure 8 in 808). In aspects, the sensing configuration 608 can further indicate a subset of the sensing measurements (e.g., from 610) as a range, an angle, a Doppler measurement, etc. (e.g., from 612 in FIG. 6B). Figure 9 in 912), and the sensing configuration can further indicate at least one of: a set of reporting / sending occasions for reporting / sending the sensing measurement data (e.g., Figure 6 in 612; Figure 9 in 916, 918, 920) of the same transmission occasion (e.g., Figure 6 in 612; Figure 9 in 916) or a first set of sensing measurement data (e.g., Figure 6 in 612; Figure 9 in 914, 916, 918) of a first transmission occasion (e.g., Figure 6 in 612; Figure 9 in 918) and a second set of sensing measurement data (e.g., Figure 6 in 612; Figure 9 in 914, 916, 920) of a second transmission occasion (e.g., Figure 6 in 612; Figure 9 in 920). In aspects, the sensing configuration 608 can indicate a set of corresponding reference signals (e.g., Figure 7 in 706, 708; Figure 8 in 806, 808, 812) associated with each sensing hypothesis (e.g., Figure 9 in 916, 918, 920) and a transmission occasion for reporting (e.g., Figure 6 in 612; Figure 9 in 916, 918, 920), as described herein, and one or more of the reference signals in the set of corresponding reference signals (e.g., Figure 9 in 916, 918, 920) can be different from the other signals in the set of corresponding reference signals (e.g., Figure 9 in 916, 918, 920). In aspects, based on the sensing configuration 608, at least one of the first set of sensing measurement data (e.g., Figure 6 in 612; Figure 9 in 914, 916, 918) or the second set of sensing measurement data (e.g., Figure 6 in 612; Figure 9 in 914, 916, 920) can be at least one of a range, an angle, or a Doppler measurement (e.g., from Figure 9912) and at least one corresponding reference signal (e.g., Figure 9 The RS 1 / RS2 for 916, 918, and 920 are associated.

[0190] At 1308, the sensing entity receives from the sensing node at least one of: (1) a first set of sensing measurement data associated with a first sensing hypothesis and a second set of sensing measurement data associated with a second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. For example, the receiving may be performed at least in part by component 199. Figures 6 to 9 An example is illustrated where the sensing entity 604 receives such sensing measurement data / indications from a sensing node (eg, sensing node 602 ).

[0191] The sensing entity 604 may be configured to receive measurement data / indications 612 (eg, Figure 9 For example, the sensing node 602 may be configured to sense the entity 604 and provide the measurement data / indication 612 (eg, Figure 9 914, 916, 918, 920) in the embodiment of the present invention sends at least one of the following: (1) a first set of sensory measurement data and a second set of sensory measurement data (e.g., Figure 9 914, 916, 918, 920), or (2) a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 808). Measurement data / indication 612 (e.g., Figure 9 914, 916, 918, 920) of the first set of sensory measurement data (eg, Figure 9 914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) may include a subset of range, angle, Doppler measurements, etc. (e.g., from Figure 9 912 in ), as indicated in the sensing configuration 608. For the first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806 in) and a second sensing hypothesis (eg, Figure 7 708 in; Figure 8 The indication of 808 in the example may indicate a first sensing hypothesis (eg, Figure 7 706 in; Figure 8 806) or a second sensing hypothesis (eg, Figure 7 708 in; Figure 8of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g.,

[0192] In aspects, the first set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 7 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 8 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g., Figure 9 of the first set of sensing measurement data (e.g., 610) or the second set of sensing measurement data (e.g.,

[0193] In some aspects, the first set of sensing measurement data (e.g., Figure 9914, 916, 918) and a second set of sensory measurement data (eg, Figure 9 914, 916, 920) include a set of corresponding reference signals (eg, Figure 9 RS 1, RS 2 in (eg, as configured via sensing configuration 608) on the first reference signal in (eg, Figure 9 In some aspects, at the first transmission opportunity (eg, Figure 9 918 in which a first set of sensory measurement data is received (eg, Figure 9 914, 916, 918) (eg, measurement data / indication 612) is a set of corresponding reference signals (eg, Figure 9 On the first reference signal in RS 1, RS2) (for example, Figure 9 1) and at the second sending opportunity (e.g., Figure 9 920 in which a second set of sensory measurement data is received (eg, Figure 9 914, 916, 920) (measurement data / indication 612) is a set of corresponding reference signals (eg, Figure 9 RS 1, RS 2) in the second reference signal (for example, in Figure 9 2 in RS 2).

[0194] As described herein, with reference to a set of sensing measurement data received by the sensing entity 604 at 1308 , the sensing node 602 may be configured to measure (at 610 ) a set of sensing measurement data that is consistent with a first sensing hypothesis (e.g., Figure 7 706 in; Figure 8 806)) a first set of associated sensory measurement data (eg, Figure 6 612 in; Figure 9 914, 916, 918) and the second sensing hypothesis (e.g., Figure 7 708 in; Figure 8 808) associated with a second set of sensory measurement data (eg, Figure 6 612 in; Figure 9 For example, the sensing node 602 may configure the sensing assumptions according to the configuration in the sensing configuration 608 (e.g., Figure 7 706, 708; Figure 8 806, 808, 812 in the sensing configuration 608) to perform a sensing operation for measuring (at 610). The set of sensing measurement data obtained via the sensing operation measured (at 610) may include a subset of range, angle, Doppler measurements, etc. from the sensing configuration 608 (e.g., from Figure 9 one or more indicated sensing measurements of the indicated sensing measurements (at 610). In aspects, the measurements (at 610) can include measuring sensing measurements associated with the one or more TRPs (e.g., 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898, 900, 902, 904, 906, 908, 910, 912, 914, 916, 918, 920) of the sensing configuration 608. Figure 9 Figure 7 Figure 8 Figure 7 Figure 8 Figure 7 Figure 8 Figure 6 Figure 9 Figure 7 Figure 8 Figure 7 Figure 8 Figure 7 Figure 8 Figure 6 Figure 9 Figure 9 Figure 9 Figure 9 Figure 7 Figure 8 Figure 7 Figure 8 Figure 9 Figure 7 Figure 8 Figure 9 ​​​​​​​​​​​​​​​​​​​​​​​​​​​a second set of sensing measurement data (e.g., 914, 916, 918) and a second sensing hypothesis (e.g., Figure 7 708 in FIG. 8; Figure 8 808 in FIG. 8; Figure 9 information associated with measurement characteristics, outlier rejection, and / or measurement efficacy of one or more of 914, 916, 920 in FIG. 9. That is, while aspects herein provide network-based solutions, the multi-hypothesis measurements for sensing computations are also applicable to UE-based solutions. Thus, in aspects of UE-based sensing sessions, a sensing node (e.g., Figure 6 602 in FIG. 6; Figure 9 902 in FIG. 9; Figure 6 604 in FIG. 6; Figure 9 904 in FIG. 9; Figure 7 706, 708 in FIG. 7; 806, 808 in FIG. 8; whichever generated better results. In aspects, the measurements (at 610) can be part of a sensing session (e.g., as in Figure 7 700 in FIG. 7; Figure 8 800 in FIG. 8; Figure 7 704 in FIG. 7; Figure 8 804, 810 in FIG. 8; Figure 7 702 in FIG. 7; Figure 8 802 in FIG. 8;

[0195] At 1310, a determination can be made as to whether a hypothesis activation was utilized. For example, the receiving can be performed at least in part by component 199. If so, flow diagram 1300 can continue to 1312; if not, flow diagram 1300 can continue to 1314.

[0196] At 1312, the sensing entity transmits, for the sensing node after transmitting the sensing configuration, a hypothesis activation, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from a total number of sensing hypotheses for the measurements. For example, the transmitting can be performed at least in part by component 199. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 FIG. 9 illustrates an example of the sensing entity 904 (e.g., additional aspects of the sensing entity 604 in FIG. 6) transmitting / providing a hypothesis activation for the sensing node (e.g., which can be the sensing node 902 that can be additional aspects of the sensing node 602 in FIG. 6). Figure 6 Figure 6

[0197] ​​In various aspects, as described above, assuming activation (e.g., Figure 8 816 in; Figure 9 910) may be used in a sensing operation to specifically activate one or more sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 806, 808, 812 in ). Figure 9 In the diagram 900 , it is assumed that activation 910 (eg, Figure 8 816 in ), the hypothesis activation may be initiated by the sensing node 902 itself, initiated by the sensing entity 904 for the sensing node 902, and / or initiated by the base station 906 (eg, a network node) for the sensing node 902. Figure 8 816) may be performed upon receiving a sensing configuration (eg, Figure 6 608 in ), including before and / or during the sensing session. Assuming activation 910 (e.g., Figure 8 816) may indicate a total number of sensing hypotheses (eg, from a total number of sensing measurements performed (eg, at 610) in a sensing operation. Figure 7 706, 708; Figure 8 At least one sensing hypothesis of 806, 808, 812).

[0198] In various aspects, the sensing entity 904 may be a LMF, and assuming activation 910 (e.g., Figure 8 816) can be associated with a coherence condition of the sensing node 902. In some aspects, assuming activation 910 (e.g., Figure 8 816) may be received by the sensing node 902 via at least one of RRC signaling, a medium access control (MAC) control element (MAC-CE), or DCI, as sent / provided from the base station 906 (e.g., from the network node). In the case where the sensing entity 904 may be a network entity such as an LMF, communication between the sensing entity 904 and the sensing node 902 may be via appropriate signaling such as the LTE Positioning Protocol (LPP), which may be higher layer signaling. The base station 906 (e.g., the network node) may be configured to activate the sensing node 902 based on certain conditions via a hypothesis activation 910 (e.g., Figure 8 816) to dynamically activate sensing hypotheses (e.g., Figure 7 706, 708; Figure 8 As an example, the base station 906 may know that when sensing the reference signal (e.g., Figure 9 RS 1, RS2) in the transmission, the beam switching can make the sensing reference signal (for example, Figure 9the phase coherence properties of RS 1, RS 2 in 604 are nullified. Based on this knowledge, the base station 906 can be configured to activate, via the hypothesis activation 910 (e.g., Figure 8 816 in 604) a subset of the sensing hypotheses (e.g., Figure 7 706, 708 in 604; Figure 8 806, 808, 812 in 604) to be measured and reported by the sensing node 902 to the sensing entity 904. As Figure 8 indicated, a third sensing hypothesis 812 can be activated.

[0199] In some aspects, the sensing node 902 can be a SL UE, the sensing entity 904 can be a UE, and the hypothesis activation 910 (e.g., Figure 8 816 in 604) can be associated with a coherence condition of the sensing node 902. The hypothesis activation 910 (e.g., Figure 8 816 in 604) can be received by the sensing node 902 via a sidelink channel by at least one of direct communication (PC5) RRC signaling, PC5 MAC-CE, SL control information (SCI) stage 1, or SCI stage 2, as transmitted / provided from the sensing entity 904. As one example, a UE acting as the sensing entity 904 can be configured to configure a plurality of sensing hypotheses (e.g., Figure 7 706, 708 in 604; Figure 8 806, 808, 812 in 604) to a participating SL UE acting as the sensing node 902 via a sidelink channel, the hypothesis activation 910 (e.g., Figure 8 816 in 604) triggers / selects at least one sensing hypothesis (e.g., Figure 7 706, 708 in 604; Figure 8 806, 808, 812 in 604). The SL UE can then perform multi-hypothesis measurements (e.g., at 610) with the triggered / selected sensing hypotheses (e.g., Figure 7 706, 708 in 604; Figure 8 806, 808, 812 in 604) and report the resulting sensing measurement data (e.g., their combination: Figure 6 612 in 604; Figure 9 914, 916, 918, 920 in 604) and the utilized sensing hypotheses (e.g., Figure 7 706, 708 in 604; Figure 8 806, 808, 812 in 604) back to the UE.

[0200] In some aspects, the activation of hypothesis measurements via the hypothesis activation 910 (e.g., Figure 8 816 in 604) and the corresponding reporting can be based on one or more events. That is, aspects herein provide that the sensing node 902 triggers the hypothesis activation 910 (e.g., Figure 8 as noted above. Once the configured event is triggered, one or more sensing assumptions (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812) can be autonomously used by the sensing node 902 to perform sensing measurements to generate sensing measurement data (e.g., at 610) (e.g., a combination of: Figure 6 of 612; Figure 9 of 914, 916, 918, 920), which can be subsequently reported by the sensing node 902 to the sensing entity 904. As one example of a triggering event, the sensing node 902 (e.g., a UE) can experience a mobility event and / or a cell handover. In such cases, the sensing node 902 can move between a first region and a second region or handover from a first cell to a second cell. For example, within the first region, the sensing node can perform sensing measurements based on a first sensing assumption (e.g., Figure 7 of 706; Figure 8 of 806) and / or a second sensing assumption (e.g., Figure 7 of 708; Figure 8 of 812). Based on the mobility event experienced by the sensing node 902 (e.g., moving to the second region), the sensing node 902 can trigger assumption activation 910 (e.g., Figure 8 of 816), such that in the second region, the sensing node can perform sensing measurements based on a third sensing assumption and / or a fourth sensing assumption (e.g., Figure 7 of 706, 708; Figure 8 of 806, 808, 812).

[0201] Flowchart 1100 can continue from 1312 to 1314.

[0202] At 1314, a determination can be made as to whether the adjusted sensing configuration was utilized. For example, the determination can be performed at least in part by component 199. If so, flowchart 1300 can continue to 1316; if not, flowchart 1300 can continue to repeat its operations.

[0203] At 1316, the sensing entity transmits, for the sensing node, an adjusted sensing configuration associated with an indication of a first sensing assumption and a second sensing assumption, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing assumptions, an adjusted first sensing assumption, or an adjusted second sensing assumption. For example, the transmitting / providing can be performed at least in part by component 199. Figure 6 , Figure 7 , Figure 8 , Figure 9An example of the sensing entity 604 receiving an adjusted sensing configuration from a sensing node (e.g., the sensing node 602) is illustrated.

[0204] As described in aspects herein, and with reference to Figure 6 And the call flow diagram 600, the sensing node 602 can be configured to transmit and the sensing entity 604 can be configured to receive information associated with measurement characteristics, outlier rejection, and / or measurement efficacy based on measurements (at 610), which can be included in a set of transmitted / received sensing measurement data (e.g., Figure 9 914, 916, 920). Aspects herein provide that the sensing node 602 can be configured to receive an adjusted sensing configuration (e.g., transmitted / provided from the sensing entity 604), which can be Figure 6 the sensing configuration 608 in the call flow diagram 600 of FIG. 6. In aspects, the adjusted sensing configuration can be associated with an indication of a first sensing hypothesis (e.g., Figure 7 706; Figure 8 806) and a second sensing hypothesis (e.g., Figure 7 708; Figure 8 808), described similarly above for the sensing configuration 608, and the adjusted sensing configuration can indicate at least one of a total number of adjusted sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis (e.g., Figure 8 810). In aspects, the adjusted sensing configuration can be provided from the sensing entity 604 to the sensing node 602 based on the information associated with measurement characteristics, outlier rejection, and / or measurement efficacy.

[0205] At 1318, the sensing entity receives, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of a total number of adjusted sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. For example, the receiving can be performed, at least in part, by the component 199. Figure 6 、 Figure 7 、 Figure 8 、 Figure 9 An example of the sensing entity 604 receiving a set (and / or indication) of sensing measurement data from a sensing node (e.g., the sensing node 602) is illustrated.

[0206] The sensing entity 604 can be configured to receive the third set of sensing measurement data and / or the fourth set of sensing measurement data from the sensing node 602 (e.g., as similar to Figure 9 914, 916, 918, 920), described similarly for the transmitting measurement data / indications 612 (e.g., as similar to Figure 9the adjusted first sensing hypothesis and / or the adjusted second sensing hypothesis (e.g., as similarly described for 610) associated with the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis (e.g., as similarly described for 810). In aspects, such reception can be based on the adjusted sensing configuration in 1316. For example, based on the adjusted sensing configuration described herein, the sensing node 602 can thus be enabled / configured to measure (e.g., as similarly described for 610) a third set of sensing measurement data and / or a fourth set of sensing measurement data (e.g., as similarly described for 810) associated with the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, and / or the adjusted second sensing hypothesis (e.g., Figure 8 Figure 9

[0207] In some aspects, the determining at 1310 and / or 1314 can be optional, and the determining at 1310 and / or 1314 can be reversed in order (e.g., the determining at 1314 is performed before 1310), or in some aspects, performed at least partially concurrently.

[0208] Figure 14 ​​is a diagram 1400 illustrating an example of a hardware implementation for an apparatus 1404. The apparatus 1404 can be a UE, a component of a UE, or can implement UE functionality. In some aspects, the apparatus 1404 can include a cellular baseband processor 1424 (also referred to as a modem) coupled with one or more transceivers 1422 (e.g., cellular RF transceivers). The cellular baseband processor 1424 can include on-chip memory 1424'. In some aspects, the apparatus 1404 can further include one or more Subscriber Identity Modules (SIM) cards 1420, and an application processor 1406 coupled with a secure digital (SD) card 1408 and a screen 1410. The application processor 1406 can include on-chip memory 1406'. In some aspects, the apparatus 1404 can further include a Bluetooth module 1412, a WLAN module 1414, a SPS module 1416 (e.g., a GNSS module), one or more sensor modules 1418 (e.g., a barometric pressure sensor / altimeter; a motion sensor such as an inertial measurement unit (IMU), a gyroscope, and / or an accelerometer; a light detection and ranging (LIDAR), a radio detection and ranging (RADAR), a sound navigation and ranging (SONAR), a magnetometer, audio, and / or other technology for positioning), an additional memory module 1426, a power source 1430, and / or a camera 1432. The Bluetooth module 1412, the WLAN module 1414, and the SPS module 1416 can include on-chip transceivers (TRXs) (or in some cases, only receivers (RXs)). The Bluetooth module 1412, the WLAN module 1414, and the SPS module 1416 can include their own dedicated antennas and / or communicate using the antennas 1480. The cellular baseband processor 1424 communicates with the UEs 104 and / or with the RUs associated with the network entity 1402 via the one or more antennas 1480 through the transceiver 1422. The cellular baseband processor 1424 and the application processor 1406 can each include computer-readable media / memory 1424', 1406', respectively. The additional memory module 1426 can also be considered a computer-readable medium / memory. Each computer-readable medium / memory 1424', 1406', 1426 can be non-transitory. The cellular baseband processor 1424 and the application processor 1406 each are responsible for general processing, including the execution of software stored on the computer-readable medium / memory. The software, when executed by the cellular baseband processor 1424 / application processor 1406, causes the cellular baseband processor 1424 / application processor 1406 to perform the various functions described supra. The computer-readable medium / memory can also be used for storing data that is manipulated by the cellular baseband processor 1424 / application processor 1406 when executing software.The cellular baseband processor 1424 / application processor 1406 can be a component of the UE 350 and can include the memory 360 and / or at least one of the TX processor 368, the RX processor 356, and the controller / processor 359. In one configuration, the apparatus 1404 can be a processor chip (modem and / or application) and only include the cellular baseband processor 1424 and / or the application processor 1406, and in another configuration, the apparatus 1404 can be the entire UE (e.g., see FIG. 3.1) and include the additional modules of the UE 350. Figure 3

[0209] As discussed above, the component 198 can be configured to receive, from a sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The component 198 can be further configured to measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The component 198 can be further configured to transmit, to the sensing entity, at least one of (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The component 198 can be configured to receive, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. The component 198 can be configured to measure a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. The component 198 can be configured to transmit, to the sensing entity, the third set of sensing measurement data and the fourth set of sensing measurement data. The component 198 can be configured to receive, from the sensing entity or from a network node, a hypothesis activation after the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. The component 198 can be configured to provide, to the sensing entity, a capability indication of the sensing node, where the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting, the capability of the sensing node including at least one of a number of sensing hypotheses supported by the sensing node, a buffering capability of the sensing node, a processing capability of the sensing node, or a related sensing capability of the sensing node. The component 198 can be configured to receive a capability request of the sensing node prior to the transmission of the capability indication of the sensing node. The component 198 can be further configured to perform any of the aspects described in the flowcharts of any of Figures 10 to 13 the aspects described in the flowcharts of any of Figures 5 to 9 ​The components of the computer system 1400 may, individually or collectively, be constituted as any one of the aspects of the sensing node performing any of the aspects described in the preceding sections. The components 198 can be within the cellular baseband processor 1424, the application processor 1406, or both the cellular baseband processor 1424 and the application processor 1406. The components 198 can be one or more hardware components specifically configured to carry out the stated processes / algorithm, implemented by one or more processors as a result of being configured by one or more software components, stored within one or more computer-readable mediums for implementation by one or more processors, or some combination thereof. As shown, the apparatus 1404 can include a variety of components configured for various functions. In one configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for receiving, from a sensing entity, a sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. In this configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for measuring a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. In this configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for transmitting, to the sensing entity, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. In one configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for receiving, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of: an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. In one configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for measuring a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of: the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. In one configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for transmitting, to the sensing entity, the third set of sensing measurement data and the fourth set of sensing measurement data. In one configuration, the apparatus 1404, and specifically the cellular baseband processor 1424 and / or the application processor 1406, can include means for receiving, from the sensing entity or from a network node, a hypothesis activation after the sensing configuration, where the hypothesis activation indicates at least one of: the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement.In one configuration, the apparatus 1404, and in particular the cellular baseband processor 1424 and / or the application processor 1406, can include means for providing a sensing entity with a capability indication of a sensing node, where the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting, the capability of the sensing node including at least one of a number of sensing hypotheses supported by the sensing node, a buffering capability of the sensing node, a processing capability of the sensing node, or a related sensing capability of the sensing node. In one configuration, the apparatus 1404, and in particular the cellular baseband processor 1424 and / or the application processor 1406, can include means for receiving a capability request of a sensing node prior to transmitting the capability indication of the sensing node. The means can be a component 198 of the apparatus 1404 configured to perform the function(s) recited by the means. As described above, the apparatus 1404 can include the TX processor 368, the RX processor 356, and the controller / processor 359. Accordingly, in one configuration, the means can be the TX processor 368, the RX processor 356, and / or the controller / processor 359 configured to perform the functions recited by the means.

[0210] Figure 15is a diagram 1500 illustrating an example of a hardware implementation for a network entity 1502. The network entity 1502 can be a BS, a component of a BS, or can implement BS functionality. The network entity 1502 can include at least one of a CU 1510, a DU 1530, or a RU 1540. For example, depending on the layer functionality handled by the component 199, the network entity 1502 can include the CU 1510; both the CU 1510 and the DU 1530; each of the CU 1510, the DU 1530, and the RU 1540; the DU 1530; both the DU 1530 and the RU 1540; or the RU 1540. The CU 1510 can include a CU processor 1512. The CU processor 1512 can include on-chip memory 1512'. In some aspects, the CU 1510 can also include an additional memory module 1514 and a communication interface 1518. The CU 1510 communicates with the DU 1530 over a backhaul link, such as an Fl interface. The DU 1530 can include a DU processor 1532. The DU processor 1532 can include on-chip memory 1532'. In some aspects, the DU 1530 can also include an additional memory module 1534 and a communication interface 1538. The DU 1530 communicates with the RU 1540 over a front-haul link. The RU 1540 can include a RU processor 1542. The RU processor 1542 can include on-chip memory 1542'. In some aspects, the RU 1540 can also include an additional memory module 1544, one or more transceivers 1546, antennas 1580, and a communication interface 1548. The RU 1540 communicates with the UE 104. The on-chip memories 1512', 1532', 1542' and the additional memory modules 1514, 1534, 1544 can each be considered a computer- readable medium / memory. Each computer-readable medium / memory can be non-transitory. Each of the processors 1512, 1532, 1542 is responsible for general processing, including the execution of software stored on the computer-readable medium / memory. The software, when executed by the corresponding processor, causes the processor to perform the various functions described supra. The computer-readable medium / memory can also be used for storing data that is manipulated by the processor when executing software.

[0211] As discussed above, the component 199 can be configured to receive, from a sensing node, a capability indication of the sensing node, where the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. The component 199 can be further configured to transmit, for the sensing node, a sensing configuration, where the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The component 199 can be further configured to receive, from the sensing node, at least one of (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The component 199 can be configured to transmit, for the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. The component 199 can be configured to receive, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. The component 199 can be configured to transmit, for the sensing node, a hypothesis activation after transmitting the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. The component 199 can be configured to transmit, prior to receiving the capability indication of the sensing node, a capability request of the sensing node. The component 199 can be further configured to perform any of the aspects from any of the flowcharts described in Figures 10 to 13 and / or by Figures 5 to 9Any of the aspects performed by the sensing entity in any of the above embodiments. The components 199 can be within one or more processors of one or more of the CU 1510, the DU 1530, and the RU 1540. The components 199 can be one or more hardware components specifically configured to carry out the stated processes / algorithm, implemented by one or more processors configured to perform the stated processes / algorithm, stored within a computer- readable medium for implementation by one or more processors, or some combination thereof. The network entity 1502 can include multiple components that are configured to functionally implement the various features described herein. In one configuration, the network entity 1502 can include means for receiving, from a sensing node, an indication of capabilities of the sensing node, where the indication of capabilities of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. In this configuration, the network entity 1502 can include means for transmitting, to the sensing node, a sensing configuration, where the sensing configuration is based on the indication of capabilities of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. In this configuration, the network entity 1502 can include means for receiving, from the sensing node, at least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. In one configuration, the network entity 1502 can include means for transmitting, to the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. In one configuration, the network entity 1502 can include means for receiving, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. In one configuration, the network entity 1502 can include means for transmitting, to the sensing node, a hypothesis activation after transmitting the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. In one configuration, the network entity 1502 can include means for transmitting, to the sensing node, a capability request prior to receiving the indication of capabilities of the sensing node. The means can be the components 199 of the network entity 1502 configured to perform the functions recited by the means. As described above, the network entity 1502 can include the TX processor 316, the RX processor 370, and the controller / processor 375. Accordingly, in one configuration, the means can be the TX processor 316, the RX processor 370, and / or the controller / processor 375 configured to perform the functions recited by the means.

[0212] Figure 16 is a diagram 1600 illustrating an example of a hardware implementation for a network entity 1660. In one example, the network entity 1660 can be within the core network 120. The network entity 1660 can include a network processor 1612. The network processor 1612 can include on-chip memory 1612'. In some aspects, the network entity 1660 can also include an additional memory module 1614. The network entity 1660 communicates directly (e.g., a backhaul link) or indirectly (e.g., through a RIC) with the CU 1602 via a network interface 1680. The on-chip memory 1612' and the additional memory module 1614 can each be considered a computer-readable medium. Each computer-readable medium can be non-transitory. The processor 1612 is responsible for general processing, including the execution of software stored on the computer-readable medium / memory. The software, when executed by the corresponding processor, causes the processor to perform the various functions described supra. The computer-readable medium / memory can also be used for storing data that is manipulated by the processor when executing software.

[0213] As discussed supra, the component 199 can be configured to receive, from a sensing node, a capability indication of the sensing node, where the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. The component 199 can be further configured to transmit, for the sensing node, a sensing configuration, where the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The component 199 can be further configured to receive, from the sensing node, at least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. The component 199 can be configured to transmit, for the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. The component 199 can be configured to receive, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. The component 199 can be configured to transmit, for the sensing node, a hypothesis activation after transmitting the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. The component 199 can be configured to transmit, prior to receiving the capability indication of the sensing node, a capability request of the sensing node. The component 199 can be further configured to perform any of the aspects from any of the flowcharts described in Figures 10 to 13 any of the aspects from any of the flowcharts described in Figures 5 to 9Any of the aspects performed by the sensing entity in any of the methods described herein. The components 199 can be within the processor 1612. The components 199 can be one or more hardware components specifically configured to carry out the stated processes / algorithm, implemented by one or more processors configured to perform the stated processes / algorithm, stored within a computer- readable medium for implementation by one or more processors, or some combination thereof. The network entity 1660 can include a variety of components configured for various functions. In one configuration, the network entity 1660 can include means for receiving, from a sensing node, an indication of capabilities of the sensing node, where the indication of capabilities of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting. In this configuration, the network entity 1660 can include means for transmitting, to the sensing node, a sensing configuration, where the sensing configuration is based on the indication of capabilities of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. In this configuration, the network entity 1660 can include means for receiving, from the sensing node, at least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. In one configuration, the network entity 1660 can include means for transmitting, to the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, where the adjusted sensing configuration indicates at least one of: an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis. In one configuration, the network entity 1660 can include means for receiving, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of: the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis. In one configuration, the network entity 1660 can include means for transmitting, to the sensing node, a hypothesis activation after transmitting the sensing configuration, where the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for measurement. In one configuration, the network entity 1660 can include means for transmitting, prior to receiving the indication of capabilities of the sensing node, a request for capabilities of the sensing node. The means can be the components 199 of the network entity 1660 configured to perform the functions recited by the means.

[0214] Wireless communication networks and / or wireless devices may utilize specific sensing waveforms (e.g., radio detection and ranging (RADAR) waveforms) for communication and / or radio frequency (RF) sensing. For example, a wireless device (e.g., a sensing node) may utilize the sensing waveforms to perform RF sensing operations for a sensing target, and the sensing measurement results may be provided to the sensing entity via at least one reference signal (RS). In some scenarios, such as Doppler measurements and virtual multiple-input multiple-output (MIMO) array processing, phase-coherent RS transmissions can improve or even enable RF sensing operations. However, maintaining phase coherence in RS transmissions (such as in positioning reference signals (PRS) or sounding reference signals (SRS)) can be affected by hardware configuration / capabilities, beam switching operations, data services in the cellular system, and so on, which in turn can affect sensing performance. For example, sensing environments with sensing targets moving at relatively low speeds (e.g., no more than 2 to 3 m / s) may utilize larger time windows (e.g., 10 to 20 ms, two frames, etc.) for sensing operations to achieve desired sensing performance. However, maintaining coherent transmission over a larger time window for sensing operations may be difficult or impossible, which may result in affected sensing performance.

[0215] Various aspects of sensing operations (e.g., for multi-hypothesis measurement configurations in RF sensing) described herein enable wireless devices (e.g., sensing nodes) and base stations / LMFs (e.g., sensing entities) to improve and maintain sensing measurement performance and efficiency. In one example, a sensing node may receive a sensing configuration from a sensing entity. The sensing configuration may indicate a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The sensing node may measure a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis. The sensing node may also send, to the sensing entity, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis. In another example, the sensing entity may receive a capability indication of the sensing node from the sensing node. The capability indication of the sensing node may indicate the sensing node's capability associated with multi-hypothesis measurement and reporting. The sensing entity may send a sensing configuration to the sensing node. The sensing configuration may be based on the capability indication of the sensing node and may indicate a total number of sensing hypotheses and at least the first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis. The sensing entity may also receive at least one of the following from the sensing node: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) indications of the first sensing hypothesis and the second sensing hypothesis.

[0216] Particular aspects of the described subject matter improve and maintain sensing measurement performance and efficiency in various ways. For example, a sensing entity can track optimal operating scenarios for sensing operations based on configurations for multi-hypothesis sensing measurements and reporting to improve sensing operation performance and efficiency. Additionally, configurations can utilize multi-hypothesis sensing measurements and reporting to enable adaptive sensing measurements for a sensing node based on previous sensing, previous sensing performance, events, conditions, and / or the like, such as enabling any number of range, angle, and / or Doppler sensing measurements for a sensing node with respect to a first TRP while limiting the sensing node to a single type of sensing measurement for a second TRP. Moreover, sensing measurements with multiple hypotheses can provide a sensing entity with flexibility in selecting sensing measurements when performing its sensing calculations.

[0217] It should be understood that the particular order or hierarchy of steps in the processes / flow diagrams disclosed are merely examples. It should be appreciated that a particular order or hierarchy of steps in the processes / flow diagrams can be re-arranged, or omitted, or combined, based on design considerations. Additionally, some steps can be combined or omitted. The accompanying method claims present elements of the various steps in a sample order, and are not necessarily limited to the specific order or hierarchy presented.

[0218] The preceding description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other aspects. Thus, the claims are not to be limited to the aspects described herein, but are to be given the full scope defined by the language of the claims. Unless otherwise defined, a reference to a singular element includes “one or more” thereof. The terms “if’ and “when” are not to be construed as requiring a direct temporal relationship or reaction. That is, the phrases “when,” “if,” and “while” are not intended to require a direct temporal relationship or immediate reaction to the occurrence of an action, but simply imply that the action will occur if the condition is met, without requiring a specific or immediate temporal limitation on the occurrence of the action. The word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any aspect described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects. Unless specifically stated otherwise, the term “some” refers to one or more. Combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of the group consisting of A, B, and C,” “one or more of the group consisting of A, B, and C,” and “A, B, and / or C or any combination thereof’ include number one (1), number two (2), number three (3), or a combination of A, B, and / or C, and permit a presence of at least one member of A, at least one member of B, at least one member of C or any combination thereof. Specifically, combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of the group consisting of A, B, and C,” “one or more of the group consisting of A, B, and C,” and “A, B, and / or C or any combination thereof’ can be A only, B only, C only, both A and B, both A and C, both B and C, or both A and B and C, where any such combination can contain one or more members of A, B, or C. A set should be interpreted as including a single member or multiple members of the set, and a set of sets should be interpreted as including a single set or multiple sets of the set of sets. If a first device receives data or sends data to a second device, the data can be received / sent directly between the first device and the second device, or indirectly between the first device and the second device through a set of devices. A device configured to “output” data (such as a transmission, signal, or message) may, for example, send the data with a transceiver, or can transfer the data to a device that sends the data. A device configured to “obtain” data (such as a transmission, signal, or message) may, for example, receive the data with a transceiver, or can obtain the data from a device that receives the data. Information stored in a memory includes instructions and / or data. All structural and functional equivalents to the elements of the various aspects described throughout this disclosure that are known or later come to be known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the claims.Moreover, nothing disclosed herein is intended to be dedicated to the public regardless of whether such disclosure is explicitly identified as being "dedicated to the public." Neither is the word "module" nor "mechanism" to be interpreted as a means-plus-function term where the function already has been expressly recited. No claim element is to be construed as a means-plus-function unless the element is expressly recited using the phrase "means for."

[0219] As used herein, the phrase "based on" is not meant to be limiting and should not be interpreted in terms of "based only on" or "based solely on." Rather, the phrase "based on" should be interpreted as "based, at least in part, on" and "based, at least in part, on a set of conditions or factors."

[0220] The following aspects are merely exemplary and are not limited to the disclosed aspects or the teachings herein.

[0221] Aspect 1 is a method of wireless communication at a sensing node, the method comprising: receiving, from a sensing entity, a sensing configuration, the sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; measuring a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis; and transmitting, for the sensing entity, at least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0222] Aspect 2 is the method of Aspect 1, wherein the sensing node is at least one of a first user equipment (UE), a sidelink (SL) UE, a transmission reception point (TRP), a road side unit (RSU), or a positioning reference unit (PRU), and wherein the sensing entity is at least one of a second UE, a network node, a network entity, or a location management function (LMF).

[0223] Aspect 3 is the method of any one of Aspects 1 and 2, wherein the first sensing hypothesis corresponds to a subset of sensing occasions in a set of sensing resources and the second sensing hypothesis corresponds to a full set of the sensing occasions in the set of sensing resources; and wherein measuring the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis comprises measuring the first set of sensing measurement data associated with the first sensing hypothesis in the subset of the sensing occasions in the set of sensing resources and measuring the second set of sensing measurement data associated with the second sensing hypothesis in the full set of the sensing occasions in the set of sensing resources.

[0224] Aspect 4 is the method of any of aspects 1-4, wherein transmitting the first set of sensing measurement data and the second set of sensing measurement data comprises at least one of: transmitting the first set of sensing measurement data and the second set of sensing measurement data in a same transmission occasion; or transmitting the first set of sensing measurement data in a first transmission occasion and the second set of sensing measurement data in a second transmission occasion, wherein the first transmission occasion is different from the second transmission occasion.

[0225] Aspect 5 is the method of aspect 4, wherein the sensing configuration further indicates at least one of: (i) a set of corresponding reference signals associated with each sensing hypothesis of the total number of sensing hypotheses, or (ii) the same transmission occasion or at least one of the first transmission occasion and the second transmission occasion; and wherein transmitting the first set of sensing measurement data and the second set of sensing measurement data in the same transmission occasion comprises transmitting the first set of sensing measurement data and the second set of sensing measurement data on a first reference signal of the set of corresponding reference signals in the same transmission occasion, or wherein transmitting the first set of sensing measurement data in the first transmission occasion and the second set of sensing measurement data in the second transmission occasion comprises transmitting the first set of sensing measurement data on the first reference signal of the set of corresponding reference signals in the first transmission occasion and the second set of sensing measurement data on a second reference signal of the set of corresponding reference signals in the second transmission occasion, wherein the first reference signal is different from the second reference signal.

[0226] Aspect 6 is the method of any of aspects 1-5, wherein at least one of the first set of sensing measurement data or the second set of sensing measurement data is associated with at least one of a range, an angle, or a Doppler measurement and at least one corresponding reference signal.

[0227] Aspect 7 is the method of any of aspects 1-6, wherein at least one of the first set of sensing measurement data and the second set of sensing measurement data or the indication of the first sensing hypothesis and the second sensing hypothesis further comprises information associated with at least one of: a measurement characteristic, an outlier rejection, or a measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis.

[0228] Aspect 8 is the method of aspect 7, wherein the method further comprises: receiving, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, wherein the adjusted sensing configuration indicates at least one of an adjusted total number of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis; measuring a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis; and transmitting, for the sensing entity, the third set of sensing measurement data and the fourth set of sensing measurement data.

[0229] Aspect 9 is the method of any of aspects 1 through 8, wherein measuring the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis comprises a sensing session that includes at least a full set of sensing occasions in a set of sensing resources; and wherein the method further comprises: receiving a hypothesis activation from the sensing entity or from a network node after receiving the sensing configuration, wherein the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for the measurement.

[0230] Aspect 10 is the method of aspect 9, wherein receiving the hypothesis activation comprises at least one of receiving the hypothesis activation before the sensing session or receiving the hypothesis activation during the sensing session after a measurement of a previous instance of the set of sensing resources.

[0231] Aspect 11 is the method of any of aspects 1 through 10, wherein the sensing entity is a location management function (LMF), wherein the hypothesis activation is associated with a coherence condition of the sensing node, and wherein receiving the hypothesis activation comprises receiving the hypothesis activation from the network node via at least one of radio resource control (RRC) signaling, medium access control (MAC) control element (MAC-CE), or downlink control information (DCI).

[0232] Aspect 12 is the method of any of aspects 1 through 10, wherein the sensing node is a sidelink (SL) user equipment (UE), wherein the hypothesis activation is associated with a coherence condition of the sensing node, and wherein receiving the hypothesis activation comprises receiving the hypothesis activation from the sensing entity via at least one of sidelink channel by direct communication (PC5) radio resource control (RRC) signaling, PC5 medium access control (MAC) control element (MAC-CE), SL control information (SCI) stage 1, or SCI stage 2.

[0233] Aspect 13 is the method of any one of aspects 1-10, wherein measuring the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis comprises dynamically measuring the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis based on an activation of the first sensing hypothesis and the second sensing hypothesis by the sensing node, wherein the activation is associated with at least one of a mobility event of the sensing node or a cell handover of the sensing node.

[0234] Aspect 14 is the method of any one of aspects 1-13, wherein the method further comprises providing, to the sensing entity, a capability indication of the sensing node, wherein the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting, the capability of the sensing node comprising at least one of a number of sensing hypotheses supported by the sensing node, a buffering capability of the sensing node, a processing capability of the sensing node, or a related sensing capability of the sensing node.

[0235] Aspect 15 is the method of any one of aspects 1-14, wherein the method further comprises receiving a capability request of the sensing node prior to providing the capability indication of the sensing node; wherein providing the capability indication of the sensing node comprises providing the capability indication of the sensing node in response to the capability request.

[0236] Aspect 16 is a method of wireless communication at a sensing entity, the method comprising: receiving, from a sensing node, a capability indication of the sensing node, wherein the capability indication of the sensing node indicates a capability of the sensing node related to multi-hypothesis measurement and reporting; transmitting, to the sensing node, a sensing configuration, wherein the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; and receiving, from the sensing node, at least one of (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

[0237] Aspect 17 is the method of aspect 16, wherein the sensing node is at least one of a first user equipment (UE), a sidelink (SL) UE, a transmission reception point (TRP), a road side unit (RSU), or a positioning reference unit (PRU), and wherein the sensing entity is at least one of a second UE, a network node, a network entity, or a location management function (LMF).

[0238] Aspect 18 is the method of any of aspects 16 and 17, wherein the first set of sensing measurement data and the first sensing hypothesis correspond to a subset of sensing occasions in a set of sensing resources, and the second set of sensing measurement data and the second sensing hypothesis correspond to a full set of the sensing occasions in the set of sensing resources.

[0239] Aspect 19 is the method of any of aspects 16 to 18, wherein receiving the first set of sensing measurement data and the second set of sensing measurement data comprises at least one of: receiving the first set of sensing measurement data and the second set of sensing measurement data in a same transmission occasion; or receiving the first set of sensing measurement data in a first transmission occasion and receiving the second set of sensing measurement data in a second transmission occasion, wherein the first transmission occasion is different from the second transmission occasion.

[0240] Aspect 20 is the method of aspect 19, wherein the sensing configuration further indicates at least one of: (i) a set of corresponding reference signals associated with each sensing hypothesis of the total number of sensing hypotheses, or (ii) the same transmission occasion or at least one of the first transmission occasion and the second transmission occasion; and wherein receiving the first set of sensing measurement data and the second set of sensing measurement data in the same transmission occasion comprises receiving the first set of sensing measurement data and the second set of sensing measurement data on a first reference signal of the set of corresponding reference signals in the same transmission occasion, or wherein receiving the first set of sensing measurement data in the first transmission occasion and receiving the second set of sensing measurement data in the second transmission occasion comprises receiving the first set of sensing measurement data on the first reference signal of the set of corresponding reference signals in the first transmission occasion and receiving the second set of sensing measurement data on a second reference signal of the set of corresponding reference signals in the second transmission occasion, wherein the first reference signal is different from the second reference signal.

[0241] Aspect 21 is the method of any one of aspects 16 through 20, wherein at least one of the first set of sensing measurement data or the second set of sensing measurement data is associated with at least one of a range, an angle, or a Doppler measurement and at least one corresponding reference signal.

[0242] Aspect 22 is the method of any one of aspects 16 through 21, wherein at least one of the first set of sensing measurement data and the second set of sensing measurement data or the indication of the first sensing hypothesis and the second sensing hypothesis further comprises information associated with at least one of: a measurement characteristic, an outlier rejection, or a measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis.

[0243] Aspect 23 is the method of aspect 22, the method further comprising: transmitting, for the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, wherein the adjusted sensing configuration indicates at least one of a total number of adjusted sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis; and receiving, from the sensing node, a third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the total number of adjusted sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis.

[0244] Aspect 24 is the method of any one of aspects 16 through 23, wherein the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis correspond to a sensing session comprising at least a complete set of sensing occasions in a set of sensing resources; wherein the method further comprises: transmitting, for the sensing node, a hypothesis activation after transmitting the sensing configuration, wherein the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for the measurement.

[0245] Aspect 25 is the method of aspect 24, wherein transmitting the hypothesis activation comprises at least one of transmitting the hypothesis activation prior to the sensing session or transmitting the hypothesis activation during the sensing session based on at least one of: (1) a previous first set of sensing measurement data associated with a previous first sensing hypothesis and a previous second set of sensing measurement data associated with a second sensing hypothesis, or (2) a previous indication of a first previous sensing hypothesis and a second previous sensing hypothesis.

[0246] Aspect 26 is the method of any of aspects 16 through 25, wherein the sensing node is a sidelink (SL) user equipment (UE), wherein the hypothesized activation is associated with a coherence condition of the sensing node, and wherein transmitting the hypothesized activation comprises transmitting the hypothesized activation for the sensing node via sidelink channel by at least one of a direct communication (PC5) radio resource control (RRC) signaling, a PC5 medium access control (MAC) control element (MAC-CE), a SL control information (SCI) stage 1, or a SCI stage 2.

[0247] Aspect 27 is the method of any of aspects 16 through 26, wherein the sensing entity is a location management function (LMF), and wherein the sensing configuration indication indicates an activation for a third sensing hypothesis from the total number of sensing hypotheses other than the first sensing hypothesis.

[0248] Aspect 28 is the method of any of aspects 16 through 27, the method further comprising: transmitting a capability request of the sensing node prior to receiving the capability indication of the sensing node; wherein receiving the capability indication of the sensing node comprises receiving the capability indication of the sensing node in response to the capability request.

[0249] Aspect 29 is an apparatus for wireless communication, the apparatus comprising means for implementing any of aspects 1 through 15.

[0250] Aspect 30 is a computer-readable medium (for example, a non-transitory computer- readable medium) storing computer executable code, when executed by at least one processor, cause the at least one processor to implement any of aspects 1 through 15.

[0251] Aspect 31 is an apparatus for wireless communication at a network node. The apparatus comprises a memory and at least one processor coupled to the memory and configured to implement any of aspects 1 through 15 based at least in part on information stored in the memory.

[0252] Aspect 32 is the apparatus of aspect 31, further comprising at least one of a transceiver or an antenna coupled to the at least one processor.

[0253] Aspect 33 is an apparatus for wireless communication, the apparatus comprising means for implementing any of aspects 16 through 28.

[0254] Aspect 34 is a computer-readable medium (for example, a non-transitory computer-readable medium) storing computer executable code, the code when executed by at least one processor causes the at least one processor to implement any of aspects 16 to 28.

[0255] Aspect 35 is an apparatus for wireless communication at a network node. The apparatus includes a memory and at least one processor coupled to the memory and, based at least in part on information stored in the memory, the at least one processor is configured to implement any of aspects 16 to 28.

[0256] Aspect 36 is the apparatus of aspect 35, further comprising at least one of a transceiver or an antenna coupled to the at least one processor.

Claims

1. An apparatus for wireless communication at a sensing node, the apparatus comprising: Memory; and at least one processor coupled to the memory and, based at least in part on information stored in the memory, configured to: receiving a sensing configuration from a sensing entity, wherein the sensing configuration indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; measuring a first set of sensed measurement data associated with the first sensing hypothesis and a second set of sensed measurement data associated with the second sensing hypothesis; as well as At least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis is sent to the sensing entity.

2. The apparatus of claim 1 , wherein the sensing node is at least one of a first user equipment (UE), a sidelink (SL) UE, a transmit reception point (TRP), a roadside unit (RSU), or a positioning reference unit (PRU), and wherein the sensing entity is at least one of a second UE, a network node, a network entity, or a location management function (LMF).

3. The apparatus of claim 1 , wherein the first sensing hypothesis corresponds to a subset of sensing opportunities in a sensing resource set and the second sensing hypothesis corresponds to a full set of sensing opportunities in the sensing resource set; and Wherein, in order to measure the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis, the at least one processor is configured to measure the first set of sensing measurement data associated with the first sensing hypothesis in the subset of the sensing opportunities in the sensing resource set and to measure the second set of sensing measurement data associated with the second sensing hypothesis in the full set of sensing opportunities in the sensing resource set.

4. The apparatus of claim 1 , wherein to transmit the first set of sensory measurement data and the second set of sensory measurement data, the at least one processor is configured to: transmitting the first set of sensing measurement data and the second set of sensing measurement data in the same transmission opportunity; or The first set of sensing measurement data is sent in a first transmission opportunity and the second set of sensing measurement data is sent in a second transmission opportunity, wherein the first transmission opportunity is different from the second transmission opportunity.

5. The apparatus of claim 4 , wherein the sensing configuration further indicates at least one of: (i) a set of corresponding reference signals associated with each sensing hypothesis in the total number of sensing hypotheses, or (ii) at least one of the same transmission opportunity or the first transmission opportunity and the second transmission opportunity; and wherein, in order to transmit the first set of sensing measurement data and the second set of sensing measurement data in the same transmission opportunity, the at least one processor is configured to transmit the first set of sensing measurement data and the second set of sensing measurement data on a first reference signal in the set of corresponding reference signals in the same transmission opportunity, or Wherein, in order to send the first set of sensing measurement data in the first sending opportunity and to send the second set of sensing measurement data in the second sending opportunity, the at least one processor is configured to send the first set of sensing measurement data on the first reference signal in the set of corresponding reference signals in the first sending opportunity, and to send the second set of sensing measurement data on the second reference signal in the set of corresponding reference signals in the second sending opportunity, wherein the first reference signal is different from the second reference signal. 6 . The apparatus of claim 1 , wherein at least one of the first set of sensory measurement data or the second set of sensory measurement data is associated with at least one of a range, angle, or Doppler measurement and at least one corresponding reference signal.

7. An apparatus according to claim 1, wherein the first set of sensing measurement data and the second set of sensing measurement data or at least one of the indications of the first sensing hypothesis and the second sensing hypothesis also includes information associated with at least one of: measurement characteristics, outlier rejection, or measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis.

8. The apparatus of claim 7, wherein the at least one processor is further configured to: receiving, from the sensing entity, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, wherein the adjusted sensing configuration indicates at least one of a total number of adjustments of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis; measuring a third set of sensed measurement data and a fourth set of sensed measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis; as well as The third set of sensing measurement data and the fourth set of sensing measurement data are sent for the sensing entity.

9. The apparatus of claim 1 , wherein to measure the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis, the at least one processor is configured to measure the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis in a sensing session that includes at least a complete set of sensing opportunities in a sensing resource set; wherein the at least one processor is further configured to: A hypothesis activation is received from the sensing entity or from a network node after receiving the sensing configuration, wherein the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for the measurement.

10. The apparatus of claim 9, wherein to receive the hypothesis activation, the at least one processor is configured to receive the hypothesis activation after a measurement of a previous instance of the sensing resource set, before the sensing session, or during the sensing session.

11. The apparatus of claim 9, wherein the sensing entity is a location management function (LMF), wherein the hypothesis activation is associated with a coherence condition of the sensing node, and wherein to receive the hypothesis activation, the at least one processor is configured to receive the hypothesis activation from the network node via at least one of radio resource control (RRC) signaling, a medium access control (MAC) control element (MAC-CE), or downlink control information (DCI).

12. The apparatus of claim 9, wherein the sensing node is a sidelink (SL) user equipment (UE), wherein the hypothesized activation is associated with a coherence condition of the sensing node, and wherein to receive the hypothesized activation, the at least one processor is configured to receive the hypothesized activation from the sensing entity via a sidelink channel through at least one of direct communication (PC5) radio resource control (RRC) signaling, PC5 medium access control (MAC) control element (MAC-CE), SL control information (SCI) phase 1, or SCI phase 2.

13. The apparatus of claim 1 , wherein, to measure the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis, the at least one processor is configured to dynamically measure the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis based on activation of the first sensing hypothesis and the second sensing hypothesis by the sensing node, wherein the activation is associated with at least one of a mobility event of the sensing node or a cell handover of the sensing node.

14. The apparatus of claim 1 , wherein the at least one processor is further configured to: providing a capability indication of the sensing node to the sensing entity, wherein the capability indication of the sensing node indicates capabilities of the sensing node associated with multi-hypothesis measurement and reporting, the capabilities of the sensing node comprising at least one of a number of sensing hypotheses supported by the sensing node, a buffering capacity of the sensing node, a processing capacity of the sensing node, or a related sensing capability of the sensing node.

15. The apparatus of claim 14, wherein the at least one processor is further configured to: receiving a capability request of the sensing node before providing the capability indication of the sensing node; To provide the capability indication of the sensing node, the at least one processor is configured to provide the capability indication of the sensing node in response to the capability request.

16. An apparatus for wireless communication at a sensing entity, the apparatus comprising: Memory; and at least one processor coupled to the memory and, based at least in part on information stored in the memory, configured to: receiving, from a sensing node, a capability indication of the sensing node, wherein the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting; sending a sensing configuration for the sensing node, wherein the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; as well as At least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis is received from the sensing node, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

17. The apparatus of claim 16, wherein the sensing node is at least one of a first user equipment (UE), a sidelink (SL) UE, a transmit reception point (TRP), a roadside unit (RSU), or a positioning reference unit (PRU), and wherein the sensing entity is at least one of a second UE, a network node, a network entity, or a location management function (LMF).

18. The apparatus of claim 16, wherein the first set of sensing measurement data and the first sensing hypothesis correspond to a subset of sensing opportunities in a sensing resource set, and the second set of sensing measurement data and the second sensing hypothesis correspond to a full set of sensing opportunities in the sensing resource set.

19. The apparatus of claim 16, wherein to receive the first set of sensory measurement data and the second set of sensory measurement data, the at least one processor is configured to: receiving the first set of sensing measurement data and the second set of sensing measurement data in the same transmission opportunity; or The first set of sensing measurement data is received in a first transmission opportunity and the second set of sensing measurement data is received in a second transmission opportunity, wherein the first transmission opportunity is different from the second transmission opportunity.

20. The apparatus of claim 19, wherein the sensing configuration further indicates at least one of: (i) a set of corresponding reference signals associated with each sensing hypothesis in the total number of sensing hypotheses, or (ii) at least one of the same transmission opportunity or the first transmission opportunity and the second transmission opportunity; and wherein, in order to receive the first set of sensing measurement data and the second set of sensing measurement data in the same transmission opportunity, the at least one processor is configured to receive the first set of sensing measurement data and the second set of sensing measurement data on a first reference signal in the set of corresponding reference signals in the same transmission opportunity, or Wherein, in order to receive the first set of sensing measurement data in the first transmission opportunity and the second set of sensing measurement data in the second transmission opportunity, the at least one processor is configured to receive the first set of sensing measurement data on the first reference signal in the set of corresponding reference signals in the first transmission opportunity, and to receive the second set of sensing measurement data on the second reference signal in the set of corresponding reference signals in the second transmission opportunity, wherein the first reference signal is different from the second reference signal.

21. The apparatus of claim 16, wherein at least one of the first set of sensory measurement data or the second set of sensory measurement data is associated with at least one of a range, angle, or Doppler measurement and at least one corresponding reference signal.

22. An apparatus according to claim 16, wherein the first set of sensing measurement data and the second set of sensing measurement data or at least one of the indications of the first sensing hypothesis and the second sensing hypothesis also includes information associated with at least one of: measurement characteristics, outlier rejection, or measurement efficacy of one or more of the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis.

23. The apparatus of claim 22, wherein the at least one processor is further configured to: sending, for the sensing node, an adjusted sensing configuration associated with the indication of the first sensing hypothesis and the second sensing hypothesis, wherein the adjusted sensing configuration indicates at least one of a total number of adjustments of sensing hypotheses, an adjusted first sensing hypothesis, or an adjusted second sensing hypothesis; and A third set of sensing measurement data and a fourth set of sensing measurement data associated with at least one of the adjusted total number of sensing hypotheses, the adjusted first sensing hypothesis, or the adjusted second sensing hypothesis are received from the sensing node.

24. The apparatus of claim 16, wherein the first set of sensing measurement data associated with the first sensing hypothesis and the second set of sensing measurement data associated with the second sensing hypothesis correspond to a sensing session that includes at least a complete set of sensing opportunities in a sensing resource set; wherein the at least one processor is further configured to: A hypothesis activation is sent for the sensing node after receiving the sensing configuration, wherein the hypothesis activation indicates at least one of the first sensing hypothesis or the second sensing hypothesis from the total number of sensing hypotheses for the measurement.

25. An apparatus according to claim 24, wherein, in order to send the hypothesis activation, the at least one processor is configured to send the hypothesis activation before the sensing session or send the hypothesis activation during the sensing session based on at least one of the following: (1) a previous first set of sensing measurement data associated with a previous first sensing hypothesis and a previous second set of sensing measurement data associated with a previous second sensing hypothesis, or (2) a previous indication of a first previous sensing hypothesis and a second previous sensing hypothesis.

26. The apparatus of claim 24, wherein the sensing node is a sidelink (SL) user equipment (UE), wherein the hypothetical activation is associated with a coherence condition of the sensing node, and wherein to send the hypothetical activation, the at least one processor is configured to send the hypothetical activation to the sensing node via a sidelink channel through at least one of direct communication (PC5) radio resource control (RRC) signaling, PC5 medium access control (MAC) control element (MAC-CE), SL control information (SCI) phase 1, or SCI phase 2.

27. The apparatus of claim 16, wherein the sensing entity is a location management function (LMF), and wherein the sensing configuration indicates activation of a third sensing hypothesis from the total number of sensing hypotheses instead of the first sensing hypothesis.

28. The apparatus of claim 16, wherein the at least one processor is further configured to: sending a capability request for the sensing node before receiving the capability indication of the sensing node; To receive the capability indication of the sensing node, the at least one processor is configured to receive the capability indication of the sensing node in response to the capability request.

29. A method for wireless communication at a sensing node, the method comprising: receiving a sensing configuration from a sensing entity, the sensing configuration indicating a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; measuring a first set of sensed measurement data associated with the first sensing hypothesis and a second set of sensed measurement data associated with the second sensing hypothesis; as well as At least one of: (1) the first set of sensing measurement data and the second set of sensing measurement data, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis is sent to the sensing entity.

30. A method of wireless communication at a sensing entity, the method comprising: receiving, from a sensing node, a capability indication of the sensing node, wherein the capability indication of the sensing node indicates a capability of the sensing node associated with multi-hypothesis measurement and reporting; sending a sensing configuration for the sensing node, wherein the sensing configuration is based on the capability indication of the sensing node and indicates a total number of sensing hypotheses and at least a first sensing hypothesis and a second sensing hypothesis different from the first sensing hypothesis; as well as At least one of: (1) a first set of sensing measurement data associated with the first sensing hypothesis and a second set of sensing measurement data associated with the second sensing hypothesis is received from the sensing node, or (2) an indication of the first sensing hypothesis and the second sensing hypothesis.

Images