Distributed sensing with low resolution analog-to-digital converters

Abstract

Aspects of the present disclosure generally relate to wireless communications. In some aspects, a network node may receive feedback information associated with a distributed sensing process from one or more user equipments (UEs). The network node may select a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The network node may send an indication of configuration parameters associated with the distributed sensing process to a set of UEs. Numerous other aspects are described.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This patent application claims priority to U.S. non-provisional patent application No. 17 / 930,784, filed on September 9, 2022, entitled “DISTRIBUTED SENSING WITH LOW-RESOLUTION ANALOG-TO-DIGITAL CONVERTERS” and assigned to the assignee of this application. The disclosure of the prior application is considered a part of this patent application and is incorporated by reference into this patent application. Technical Field

[0003] Aspects of the present disclosure relate generally to wireless communications, and to techniques and apparatus for distributed sensing utilizing low-resolution analog-to-digital converters. Background Art

[0004] Wireless communication systems are widely deployed to provide a variety of telecommunication services, such as telephony, video, data, messaging, and broadcasting. Typical wireless communication systems may employ multiple access technologies that can support communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, etc.). Examples of such multiple access technologies include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems, orthogonal frequency division multiple access (OFDMA) systems, single carrier frequency division multiple access (SC-FDMA) systems, time division synchronous code division multiple access (TD-SCDMA) systems, and long term evolution (LTE). LTE / LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard promulgated by the Third Generation Partnership Project (3GPP).

[0005] A wireless network may include one or more network nodes that support communications for wireless communication devices, such as user equipment (UE) or multiple UEs. A UE may communicate with a network node via downlink communications and uplink communications. A "downlink" (or "DL") refers to a communication link from a network node to a UE, and an "uplink" (or "UL") refers to a communication link from a UE to a network node. Some wireless networks may support device-to-device communications, such as via a local link (e.g., a side link (SL), a wireless local area network (WLAN) link, and / or a wireless personal area network (WPAN) link, etc.).

[0006] The above-mentioned multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different UEs to communicate at a city, country, region and / or global level. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard promulgated by 3GPP. NR is designed to better support mobile broadband Internet access by: improving spectrum efficiency; reducing costs; improving services; utilizing new spectrum; and using orthogonal frequency division multiplexing (OFDM) (CP-OFDM) with cyclic prefix (CP) on the downlink, CP-OFDM and / or single carrier frequency division multiplexing (SC-FDM) (also known as discrete Fourier transform spread OFDM (DFT-s-OFDM)) on the uplink to better integrate with other open standards; and supporting beamforming, multiple input multiple output (MIMO) antenna technology and carrier aggregation. As the demand for mobile broadband access continues to increase, further improvements in LTE, NR and other radio access technologies remain useful. Summary of the invention

[0007] Some aspects described herein relate to a method of wireless communication performed by an apparatus of a network node. The method may include receiving feedback information associated with a distributed sensing process from one or more user equipments (UEs). The method may include selecting a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The method may include sending an indication of a configuration parameter associated with the distributed sensing process to the set of UEs.

[0008] Some aspects described herein relate to a method of wireless communication performed by an apparatus of a UE. The method may include sending feedback information associated with a distributed sensing process to a network node. The method may include receiving configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution analog-to-digital converter (ADC) setting. The method may include performing the distributed sensing process based at least in part on the configuration parameters.

[0009] Some aspects described herein relate to a network node for wireless communication. The network node may include: a memory; and one or more processors, the one or more processors coupled to the memory. The one or more processors may be configured to receive feedback information associated with a distributed sensing process from one or more UEs. The one or more processors may be configured to select a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The one or more processors may be configured to send an indication of a configuration parameter associated with the distributed sensing process to the set of UEs.

[0010] Some aspects described herein relate to a UE for wireless communication. The UE may include: a memory; and one or more processors, the one or more processors coupled to the memory. The one or more processors may be configured to send feedback information associated with a distributed sensing process to a network node. The one or more processors may be configured to receive configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution ADC setting. The one or more processors may be configured to perform the distributed sensing process based at least in part on the configuration parameters.

[0011] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a network node. The instruction set, when executed by one or more processors of the network node, may cause the network node to receive feedback information associated with a distributed sensing process from one or more UEs. The instruction set, when executed by one or more processors of the network node, may cause the network node to select a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The instruction set, when executed by one or more processors of the network node, may cause the network node to send an indication of a configuration parameter associated with the distributed sensing process to a set of UEs.

[0012] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a UE. The instruction set, when executed by one or more processors of the UE, may cause the UE to send feedback information associated with a distributed sensing process to a network node. The instruction set, when executed by one or more processors of the UE, may cause the UE to receive configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution ADC setting. The instruction set, when executed by one or more processors of the UE, may cause the UE to perform the distributed sensing process based at least in part on the configuration parameters.

[0013] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include components for receiving feedback information associated with a distributed sensing process from one or more UEs. The apparatus may include components for selecting a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The apparatus may include components for sending an indication of a configuration parameter associated with the distributed sensing process to the set of UEs.

[0014] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for sending feedback information associated with a distributed sensing process to a network node. The apparatus may include means for receiving configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution ADC setting. The apparatus may include means for performing the distributed sensing process based at least in part on the configuration parameters.

[0015] Aspects collectively include methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network entities, network nodes, wireless communication devices and / or processing systems as fully described herein with reference to the drawings and description and as illustrated in the drawings and description.

[0016] The features and technical advantages of examples according to the present disclosure have been outlined quite extensively above so that the following specific embodiments may be better understood. Additional features and advantages will be described below. The disclosed concepts and specific examples may be easily used as a basis for modifying or designing other structures for achieving the same purpose of the present disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, both in terms of their organization and method of operation, and the associated advantages will be better understood by considering the following description in conjunction with the accompanying drawings. Each of the figures in the accompanying drawings is provided for the purpose of illustration and description and not as a definition of limitations to the claims.

[0017] Although various aspects are described in the present disclosure by illustrating some examples, it will be understood by those skilled in the art that such aspects can be implemented in many different arrangements and scenarios. The technology described herein can be implemented using different platform types, devices, systems, shapes, sizes and / or packaging arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-module components (e.g., end-user devices, vehicles, communication equipment, computing equipment, industrial equipment, retail / shopping equipment, medical equipment and / or artificial intelligence devices). Various aspects can be implemented in chip-level components, modular components, non-modular components, non-chip-level components, device-level components and / or system-level components. The equipment incorporating the various aspects and features described may include additional components and features for implementing and practicing the various aspects claimed and described. For example, the transmission and reception of wireless signals may include one or more components for analog and digital purposes (e.g., hardware components, including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders and / or summers). The various aspects described herein are intended to be practiced in various devices, components, systems, distributed arrangements and / or end-user devices of various sizes, shapes and configurations. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to be able to understand the above-mentioned features of the present disclosure in detail, a more specific description briefly summarized above may be obtained by reference to various aspects (some of which are illustrated in the accompanying drawings). However, it should be noted that the accompanying drawings only illustrate certain typical aspects of the present disclosure and are therefore not to be considered as limiting the scope thereof, as the specification may admit of other equally effective aspects. The same reference numerals in different drawings may identify the same or similar elements.

[0019] Figure 1 is a diagram illustrating an example of a wireless network according to the present disclosure.

[0020] Figure 2 is a diagram illustrating an example of communication between a network node and a user equipment (UE) in a wireless network according to the present disclosure.

[0021] Figure 3 is a diagram illustrating an example decomposed base station architecture according to the present disclosure.

[0022] Figure 4 is a diagram illustrating an example of a joint communications radar (JCR) system according to the present disclosure.

[0023] Figure 5 is a diagram illustrating an example of a cyclic prefix orthogonal frequency division multiplexing waveform for radar sensing according to the present disclosure.

[0024] Figure 6 is a diagram illustrating an example associated with distributed sensing using a JCR with a low-resolution analog-to-digital converter according to the present disclosure.

[0025] Figure 7 is a diagram of an example associated with distributed sensing utilizing a low-resolution analog-to-digital converter according to the present disclosure.

[0026] Figure 8 is a diagram illustrating an example process, for example, performed by a network node, according to the present disclosure.

[0027] Fig. 9 is a diagram illustrating an example process performed, for example, by a UE according to the present disclosure.

[0028] Fig.10 is a diagram of an example apparatus for wireless communications according to the present disclosure.

[0029] Fig.11 is a diagram of an example apparatus for wireless communications according to the present disclosure. DETAILED DESCRIPTION

[0030] The various aspects of the present disclosure are described more fully below with reference to the accompanying drawings. However, the present disclosure can be embodied in many different forms, and should not be interpreted as being limited to any specific structure or function presented throughout the present disclosure. Instead, these aspects are provided so that the present disclosure will be thorough and complete, and the protection scope of the present disclosure will be fully conveyed to those skilled in the art. It should be understood by those skilled in the art that the scope of the present disclosure is intended to cover any aspect of the disclosure disclosed herein, whether it is implemented independently or in combination with any other aspect of the disclosure. For example, any number of aspects set forth herein may be used to implement a device or practice method. In addition, the scope of the present disclosure is intended to cover such devices or methods that are practiced using other structures, functionality, or structures and functionality in addition to or different from the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure disclosed herein may be embodied by one or more elements of the claims.

[0031] Several aspects of telecommunication systems will now be presented with reference to various devices and techniques. These devices and techniques will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, algorithms, etc. (collectively referred to as "elements"). These elements may be implemented using hardware, software, or a combination thereof. Whether such elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.

[0032] Although various aspects may be described herein using terms generally associated with 5G or new radio (NR) radio access technology (RAT), various aspects of the present disclosure may be applicable to other RATs, such as 3G RAT, 4G RAT and / or RATs beyond 5G (e.g., 6G).

[0033] Figure 11 is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, or may include elements of a 5G (e.g., NR) network and / or elements of a 4G (e.g., Long Term Evolution (LTE)) network, etc. The wireless network 100 may include one or more network nodes 110 (shown as network node 110a, network node 110b, network node 110c, and network node 110d), user equipment (UE) 120 or multiple UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), and / or other entities. The network node 110 is a network node that communicates with the UE 120. As shown in the figure, the network node 110 may include one or more network nodes. For example, the network node 110 may be a converged network node, which means that the converged network node is configured to utilize a radio protocol stack that is physically or logically integrated within a single radio access network (RAN) node (e.g., within a single device or unit). As another example, the network node 110 may be a decomposed network node (sometimes referred to as a decomposed base station), which means that the network node 110 is configured to utilize a protocol stack that is physically or logically distributed between two or more nodes (such as one or more central units (CUs), one or more distributed units (DUs), or one or more radio units (RUs)).

[0034] In some examples, the network node 110 is or includes a network node that communicates with the UE 120 via a radio access link, such as an RU. In some examples, the network node 110 is or includes a network node that communicates with other network nodes 110 via a fronthaul link or a midhaul link, such as a DU. In some examples, the network node 110 is or includes a network node that communicates with other network nodes 110 via a midhaul link or communicates with a core network via a backhaul link, such as a CU. In some examples, the network node 110 (such as an aggregated network node 110 or a decomposed network node 110) may include multiple network nodes, such as one or more RUs, one or more CUs, and / or one or more DUs. The network node 110 may include, for example, an NR base station, an LTE base station, a Node B, an eNB (e.g., in 4G), a gNB (e.g., in 5G), an access point, a transmit receive point (TRP), a DU, a RU, a CU, a mobility element of a network, a core network node, a network element, a network equipment, a RAN node, or a combination thereof. In some examples, network nodes 110 may be interconnected to each other or to one or more other network nodes 110 in wireless network 100 via various types of fronthaul, midhaul, and / or backhaul interfaces (such as direct physical connections, air interfaces, or virtual networks) using any suitable transport network.

[0035] In some examples, the network node 110 may provide communication coverage for a particular geographic area. In the Third Generation Partnership Project (3GPP), the term "cell" may refer to the coverage area of ​​the network node 110 and / or the network node subsystem serving the coverage area, depending on the context in which the term is used. The network node 110 may provide communication coverage for a macro cell, a pico cell, a femto cell, and / or another type of cell. A macro cell may cover a relatively large geographic area (e.g., a radius of several kilometers) and may allow unrestricted access by a UE 120 with a service subscription. A pico cell may cover a relatively small geographic area and may allow unrestricted access by a UE 120 with a service subscription. A femto cell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by a UE 120 associated with the femto cell (e.g., a UE 120 in a closed subscriber group (CSG)). A network node 110 for a macro cell may be referred to as a macro network node. A network node 110 for a pico cell may be referred to as a pico network node. The network node 110 for a femto cell may be referred to as a femto network node or a home network node. Figure 1 In the example shown, network node 110a may be a macro network node for macro cell 102a, network node 110b may be a pico network node for pico cell 102b, and network node 110c may be a femto network node for femto cell 102c. The network node may support one or more (e.g., three) cells. In some examples, the cells may not necessarily be stationary, and the geographic area of ​​the cells may move depending on the location of the mobile network node 110 (e.g., a mobile network node).

[0036] In some aspects, the term "base station" or "network node" may refer to an aggregated base station, a decomposed base station, an integrated access and backhaul (IAB) node, a relay node, or one or more components thereof. For example, in some aspects, a "base station" or "network node" may refer to a CU, a DU, a RU, a near real-time (near RT) RAN intelligent controller (RIC), or a non-real-time (non-RT) RIC, or a combination thereof. In some aspects, the term "base station" or "network node" may refer to a device configured to perform one or more functions (such as those described herein in conjunction with network node 110). In some aspects, the term "base station" or "network node" may refer to multiple devices configured to perform one or more functions. For example, in some distributed systems, each of a plurality of different devices (which may be located in the same geographic location or in different geographic locations) may be configured to perform at least a portion of a function, or to repeatedly perform at least a portion of the function, and the term "base station" or "network node" may refer to any one or more of these different devices. In some aspects, the term "base station" or "network node" may refer to one or more virtual base stations or one or more virtual base station functions. For example, in some aspects, two or more base station functions may be instantiated on a single device. In some aspects, the term "base station" or "network node" may refer to one of the base station functions, but not another base station function. In this way, a single device may include more than one base station.

[0037] The wireless network 100 may include one or more relay stations. A relay station is a network node that can receive transmissions of data from an upstream node (e.g., a network node 110 or a UE 120) and transmit transmissions of data to a downstream node (e.g., a UE 120 or a network node 110). A relay station may be a UE 120 that is capable of relaying transmissions for other UEs 120. Figure 1 In the example shown, a network node 110d (e.g., a relay network node) may communicate with a network node 110a (e.g., a macro network node) and a UE 120d to facilitate communications between the network node 110a and the UE 120d. A network node 110 that relays communications may be referred to as a relay station, a relay base station, a relay network node, a relay node, a relay, etc.

[0038] The wireless network 100 may be a heterogeneous network that includes different types of network nodes 110, such as macro network nodes, pico network nodes, femto network nodes, relay network nodes, etc. These different types of network nodes 110 may have different transmit power levels, different coverage areas, and / or different impacts on interference in the wireless network 100. For example, a macro network node may have a high transmit power level (e.g., 5 watts to 40 watts), while a pico network node, a femto network node, and a relay network node may have a lower transmit power level (e.g., 0.1 watt to 2 watts).

[0039] The network controller 130 may be coupled to or in communication with a set of network nodes 110 and may provide coordination and control for the network nodes 110. The network controller 130 may communicate with the network nodes 110 via a backhaul communication link or a midhaul communication link. The network nodes 110 may also communicate directly with each other or indirectly via a wireless or wired backhaul communication link. In some aspects, the network controller 130 may be, or may include, a CU or a core network device.

[0040] UE 120 may be dispersed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, an access terminal, a terminal, a mobile station, and / or a subscriber unit. UE 120 may be a cellular phone (e.g., a smart phone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smart watch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or a smart bracelet)), an entertainment device (e.g., a music device, a video device, and / or a satellite radio), a vehicle component or sensor, a smart meter / sensor, an industrial manufacturing equipment, a global positioning system device, a UE function of a network node, and / or any other suitable device configured to communicate via a wireless or wired medium.

[0041] Some UEs 120 may be considered as machine type communication (MTC) or evolved or enhanced machine type communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, drones, remote devices, sensors, meters, monitors, and / or location tags, which may communicate with a network node, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered as Internet of Things (IoT) devices, and / or may be implemented as NB-IoT (narrowband IoT) devices. Some UEs 120 may be considered as customer premises equipment. UE 120 may be included inside a housing that houses components of UE 120, such as a processor component and / or a memory component. In some examples, a processor component and a memory component may be coupled together. For example, a processor component (e.g., one or more processors) and a memory component (e.g., a memory) may be operably coupled, communicatively coupled, electronically coupled, and / or electrically coupled.

[0042] In general, any number of wireless networks 100 may be deployed in a given geographic area. Each wireless network 100 may support a specific RAT and may operate on one or more frequencies. RAT may be referred to as a radio technology, air interface, etc. Frequency may be referred to as a carrier, frequency channel, etc. Each frequency may support a single RAT in a given geographic area in order to avoid interference between wireless networks of different RATs. In some cases, NR or 5G RAT networks may be deployed.

[0043] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly (e.g., without using network node 110 as an intermediary to communicate with each other) using one or more side link channels. For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, or vehicle-to-pedestrian (V2P) protocols), and / or mesh networks. In such examples, UE 120 may perform scheduling operations, resource selection operations, and / or other operations described elsewhere herein as being performed by network node 110.

[0044] The devices of the wireless network 100 may communicate using an electromagnetic spectrum that may be subdivided into various categories, bands, channels, etc., based on frequency or wavelength. For example, the devices of the wireless network 100 may communicate using one or more operating bands. 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). It should be understood that, although a portion of FR1 is greater than 6 GHz, FR1 is often (interchangeably) referred to as the "below 6 GHz" band in various documents and articles. A similar naming problem sometimes occurs with respect to FR2, which is often (interchangeably) referred to as the "millimeter wave" band in documents and articles, although different from the extremely high frequency (EHF) band (30 GHz-300 GHz) identified as the "millimeter wave" band by the International Telecommunication Union (ITU).

[0045] Frequencies between FR1 and FR2 are generally referred to as mid-band frequencies. Recent 5G NR research has identified the operating bands for these mid-band frequencies as frequency range designation FR3 (7.125GHz-24.25GHz). The bands falling within FR3 can inherit FR1 characteristics and / or FR2 characteristics, so the features of FR1 and / or FR2 can be effectively extended to mid-band frequencies. In addition, higher frequency bands are currently being explored to extend 5G NR operations to more than 52.6GHz. For example, three higher operating bands have been identified as frequency range designations FR4a or FR4-1 (52.6GHz-71GHz), FR4 (52.6GHz-114.25GHz) and FR5 (114.25GHz-300GHz). Each of these higher frequency bands falls within the EHF band.

[0046] Considering the above examples, unless otherwise specifically stated, it should be understood that if the term "below 6 GHz" or the like is used herein, the term may broadly refer to frequencies that may be lower than 6 GHz, may be within FR1, or may include mid-band frequencies. In addition, unless otherwise specifically stated, it should be understood that if the term "millimeter wave" or the like is used herein, the term may broadly refer to frequencies that may include mid-band frequencies, may be within FR2, FR4, FR4-a or FR4-1, and / or FR5, or may be within the EHF band. It is contemplated that the frequencies included in these operating bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) may be modified, and the techniques described herein are applicable to those modified frequency ranges.

[0047] In some aspects, the network node 110 may include a communication manager 150. As described in greater detail elsewhere herein, the communication manager 150 may receive feedback information associated with a distributed sensing process from one or more UEs 120; select a set of UEs 120 to be included in the distributed sensing process based at least in part on the feedback information; and send an indication of configuration parameters associated with the distributed sensing process to the set of UEs 120. Additionally or alternatively, the communication manager 150 may perform one or more other operations described herein.

[0048] In some aspects, UE 120 may include a communication manager 140. As described in greater detail elsewhere herein, the communication manager 140 may send feedback information associated with a distributed sensing process to a network node 110; receive configuration parameters associated with the distributed sensing process from the network node 110, wherein the configuration parameters include at least one low-resolution analog-to-digital converter (ADC) setting; and perform the distributed sensing process based at least in part on the configuration parameters. Additionally or alternatively, the communication manager 140 may perform one or more other operations described herein.

[0049] As indicated above, Figure 1 are provided as examples. Other examples can be found in the Figure 1 The examples described are different.

[0050] Figure 2 2 is a diagram illustrating an example 200 of a network node 110 communicating with a UE 120 in a wireless network 100 according to the present disclosure. The network node 110 may be equipped with a set of antennas 234a to 234t, such as T antennas (T≥1). The UE 120 may be equipped with a set of antennas 252a to 252r, such as R antennas (R≥1). The network node 110 of example 200 includes one or more radio frequency components, such as an antenna 234 and a modem 254. In some examples, the network node 110 may include an interface, a communication component, or another component that facilitates communication with the UE 120 or another network node. Some network nodes 110 may not include a radio frequency component that facilitates direct communication with the UE 120, such as one or more CUs or one or more DUs.

[0051] At the network node 110, a transmit processor 220 may receive data intended for a UE 120 (or a set of UEs 120) from a data source 212. The transmit processor 220 may select one or more modulation and coding schemes (MCS) for the UE 120 based at least in part on one or more channel quality indicators (CQIs) received from the UE 120. The network node 110 may process (e.g., encode and modulate) the data for the UE 120 based at least in part on the MCS selected for the UE 120, and may provide data symbols for the UE 120. The transmit processor 220 may process system information (e.g., for semi-static resource partitioning information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper layer signaling), and provide overhead symbols and control symbols. The transmit processor 220 may generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signals (PSS) or secondary synchronization signals (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 may perform spatial processing (e.g., precoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols, where applicable, and may provide a set of output symbol streams (e.g., T output symbol streams) to a corresponding set of modems 232 (e.g., T modems) (shown as modems 232a to 232t). For example, each output symbol stream may be provided to a modulator component (shown as MOD) of the modem 232. Each modem 232 may process a corresponding output symbol stream (e.g., for OFDM) using a corresponding modulator component to obtain an output sample stream. Each modem 232 may also process (e.g., convert to analog, amplify, filter, and / or upconvert) the output sample stream using a corresponding modulator component to obtain a downlink signal. The modems 232a through 232t may transmit a set of downlink signals (eg, T downlink signals) via a corresponding set of antennas 234 (eg, T antennas) (shown as antennas 234a through 234t).

[0052] At the UE 120, a set of antennas 252 (shown as antennas 252a to 252r) may receive downlink signals from the network node 110 and / or other network nodes 110 and may provide a set of received signals (e.g., R received signals) to a set of modems 254 (e.g., R modems) (shown as modems 254a to 254r). For example, each received signal may be provided to a demodulator component (shown as DEMOD) of the modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, downconvert, and / or digitize) the received signal to obtain input samples. Each modem 254 may use a demodulator component to further process the input samples (e.g., for OFDM) to obtain received symbols. A MIMO detector 256 may obtain received symbols from the modem 254, may perform MIMO detection on the received symbols where applicable, and may provide detected symbols. The receive processor 258 may process (e.g., demodulate and decode) the detected symbols, may provide decoded data for the UE 120 to the data sink 260, and may provide decoded control information and system information to the controller / processor 280. The term "controller / processor" may refer to one or more controllers, one or more processors, or a combination thereof. The channel processor may determine a reference signal received power (RSRP) parameter, a received signal strength indicator (RSSI) parameter, a reference signal received quality (RSRQ) parameter, and / or a CQI parameter, among other things. In some examples, one or more components of the UE 120 may be included in the housing 284.

[0053] The network controller 130 may include a communication unit 294, a controller / processor 290, and a memory 292. The network controller 130 may include, for example, one or more devices in a core network. The network controller 130 may communicate with the network node 110 via the communication unit 294.

[0054] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include or be included within one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, and / or one or more antenna arrays, etc. Antenna panels, antenna groups, sets of antenna elements, and / or antenna arrays may include one or more antenna elements (in a single housing or multiple housings), sets of coplanar antenna elements, sets of non-coplanar antenna elements, and / or coupled to one or more transmit and / or receive components (such as, Figure 2 One or more antenna elements of one or more components in.

[0055] On the uplink, at the UE 120, the transmit processor 264 may receive and process data from the data source 262 and control information from the controller / processor 280 (e.g., for reports including RSRP, RSSI, RSRQ, and / or CQI). The transmit processor 264 may generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 may be pre-decoded by the TX MIMO processor 266, where applicable, further processed by the modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and sent to the network node 110. In some examples, the modem 254 of the UE 120 may include a modulator and a demodulator. In some examples, the UE 120 includes a transceiver. The transceiver may include any combination of an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, and / or a TX MIMO processor 266. The transceiver may be used by a processor (eg, controller / processor 280) and memory 282 to perform the functions described herein (eg, with reference to Figures 6 to 11 ) any aspects of any of the methods described herein.

[0056] At the network node 110, uplink signals from the UE 120 and / or other UEs may be received by the antenna 234, processed by the modem 232 (e.g., a demodulator component (shown as DEMOD) of the modem 232), detected by the MIMO detector 236 where applicable, and further processed by the receive processor 238 to obtain decoded data and control information transmitted by the UE 120. The receive processor 238 may provide the decoded data to the data sink 239 and the decoded control information to the controller / processor 240. The network node 110 may include a communication unit 244 and may communicate with the network controller 130 via the communication unit 244. The network node 110 may include a scheduler 246 to schedule one or more UEs 120 for downlink communication and / or uplink communication. In some examples, the modem 232 of the network node 110 may include a modulator and a demodulator. In some examples, the network node 110 includes a transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, and / or TX MIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to perform operations described herein (e.g., with reference to Figures 6 to 11 ) any aspects of any of the methods described herein.

[0057] The controller / processor 240 of the network node 110, the controller / processor 280 of the UE 120, and / or Figure 2 Any other components of the network node 110 may perform one or more techniques associated with distributed sensing using low-resolution analog-to-digital converters, as described in more detail elsewhere herein. For example, the controller / processor 240 of the network node 110, the controller / processor 280 of the UE 120, and / or Figure 2 Any other component of the Figure 8 The process of 800 Fig. 9 900 and / or operations of other processes as described herein. Memory 242 and memory 282 may store data and program codes for network node 110 and UE 120, respectively. In some examples, memory 242 and / or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code and / or program code) for wireless communication. For example, the one or more instructions, when executed by one or more processors of network node 110 and / or UE 120 (e.g., directly executed, or executed after compilation, conversion, and / or interpretation), may cause the one or more processors, UE 120, and / or network node 110 to perform or direct, for example, Figure 8 The process of 800 Fig. 9 The process 900 and / or operations of other processes as described herein. In some examples, executing instructions may include running instructions, converting instructions, compiling instructions, and / or interpreting instructions, etc.

[0058] In some aspects, the network node 110 includes: means for receiving feedback information associated with a distributed sensing process from one or more UEs 120; means for selecting a set of UEs 120 to be included in the distributed sensing process based at least in part on the feedback information; and / or means for sending an indication of configuration parameters associated with the distributed sensing process to the set of UEs 120. Means for the network node 110 to perform operations described herein may include, for example, one or more of the communication manager 150, the transmit processor 220, the TX MIMO processor 230, the modem 232, the antenna 234, the MIMO detector 236, the receive processor 238, the controller / processor 240, the memory 242, or the scheduler 246.

[0059] In some aspects, the UE 120 includes: means for sending feedback information associated with the distributed sensing process to the network node 110; means for receiving configuration parameters associated with the distributed sensing process from the network node 110, wherein the configuration parameters include at least one low-resolution ADC setting; and / or means for performing the distributed sensing process based at least in part on the configuration parameters. Means for the UE 120 to perform the operations described herein may include, for example, one or more of the following: the communication manager 140, the antenna 252, the modem 254, the MIMO detector 256, the receive processor 258, the transmit processor 264, the TX MIMO processor 266, the controller / processor 280, or the memory 282.

[0060] Although Figure 2 The blocks in the 2000 and 2010 are illustrated as distinct components, but the functionality described above for these blocks may be implemented in a single hardware, software, or combined component or in various combinations of components. For example, the functionality described for the transmit processor 264, the receive processor 258, and / or the TX MIMO processor 266 may be performed by or under the control of the controller / processor 280.

[0061] As indicated above, Figure 2 are provided as examples. Other examples can be found in the Figure 2 The examples described are different.

[0062] The deployment of a communication system (such as a 5G NR system) can be arranged with various components or components in a variety of ways. In a 5G NR system or network, a network node, a network entity, a mobility element of a network, a RAN node, a core network node, a network element, a base station or network equipment can be implemented in an aggregated or decomposed architecture. For example, a base station (such as a Node B (NB), an evolved NB (eNB), an NR base station, a 5G NB, an access point (AP), a TRP or a cell, etc.) or one or more units (or one or more components) performing base station functionality can be implemented as an aggregated base station (also referred to as an independent base station or a monolithic base station) or a decomposed base station. "Network entity" or "network node" may refer to a decomposed base station or one or more units of a decomposed base station (such as one or more CUs, one or more DUs, one or more RUs, or a combination thereof).

[0063] An aggregated base station (e.g., an aggregated network node) may be configured to utilize a radio protocol stack physically or logically integrated within a single RAN node (e.g., within a single device or unit). A decomposed base station (e.g., a decomposed network node) may be configured to utilize a protocol stack physically or logically distributed between two or more units (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, a CU may be implemented within a network node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed across one or more other network nodes. A DU may be implemented to communicate with one or more RUs. Each of a CU, a DU, and a RU may also be implemented as a virtual unit, such as a virtual central unit (VCU), a virtual distributed unit (VDU), or a virtual radio unit (VRU), and the like.

[0064] Base station type operations or network designs may take into account the aggregated nature of base station functionality. For example, a decomposed base station may be utilized in an IAB network, an open radio access network (O-RAN (such as a network configuration initiated by the O-RAN Alliance)), or a virtualized radio access network (vRAN, also known as a cloud radio access network (C-RAN)) to facilitate the scaling of a communication system by separating base station functionality into one or more units that can be deployed separately. A decomposed base station may include functionality implemented across two or more units at various physical locations, as well as functionality implemented virtually for at least one unit, which may enable flexibility in network design. Individual units of a decomposed base station may be configured for wired or wireless communication with at least one other unit of the decomposed base station.

[0065] Figure 3 3 is a diagram illustrating an example disaggregated base station architecture 300 according to the present disclosure. The disaggregated base station architecture 300 may include a CU 310 that may communicate directly with a core network 320 via a backhaul link, or indirectly with the core network 320 through one or more disaggregated control units, such as a near-RT RIC 325 via an E2 link, or a non-RT RIC 315 associated with a service management and orchestration (SMO) framework 305, or both. The CU 310 may communicate with one or more DUs 330 via respective midhaul links, such as via an F1 interface. Each of the DUs 330 may communicate with one or more RUs 340 via respective fronthaul links. Each of the RUs 340 may communicate with one or more UEs 120 via respective radio frequency (RF) access links. In some implementations, a UE 120 may be served simultaneously by multiple RUs 340.

[0066] Each of the units (including CU 310, DU 330, RU 340) and the near-RT RIC 325, non-RT RIC 315, and SMO framework 305 may include or be coupled to one or more interfaces, the one or more interfaces being configured to receive or send signals, data, or information (collectively referred to as signals) via a wired or wireless transmission medium. Each of the units or an associated processor or controller that provides instructions to one or more communication interfaces of the corresponding unit may be configured to communicate with one or more of the other units via a transmission medium. In some examples, each of the units may include a wired interface and a wireless interface, the wired interface being configured to receive signals or send signals to one or more of the other units via a wired transmission medium, the wireless interface being configured to receive signals or send signals to one or more of the other units via a wired transmission medium, or both.

[0067] In some aspects, the CU 310 may host one or more higher layer control functions. Such control functions may include radio resource control (RRC) functions, packet data convergence protocol (PDCP) functions, or service data adaptation protocol (SDAP) functions, etc. Each control function may be implemented using an interface that is configured to communicate signals with other control functions hosted by the CU 310. The CU 310 may be configured to handle user plane functionality (e.g., central unit-user plane (CU-UP) functionality), control plane functionality (e.g., central unit-control plane (CU-CP) functionality), or a combination thereof. In some specific implementations, the CU 310 may be logically split into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP unit may communicate bidirectionally with the CU-CP unit via an interface (such as an E1 interface). As needed, the CU310 may be implemented to communicate with the DU 330 for network control and signaling.

[0068] Each DU 330 may correspond to a logical unit that includes one or more base station functions for controlling the operation of one or more RUs 340. In some aspects, the DU 330 may 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, at least in part, according to a functional split (such as a functional split defined by 3GPP). In some aspects, the one or more high PHY layers may be implemented by one or more modules for forward error correction (FEC) encoding and decoding, scrambling, modulation and demodulation, etc. In some aspects, the DU 330 may further host one or more low PHY layers, such as one or more modules for fast Fourier transform (FFT), inverse FFT (iFFT), digital beamforming or physical random access channel (PRACH) extraction and filtering, etc. Each layer (which may also be referred to as a module) may be implemented using an interface that is configured to communicate signals with other layers (and modules) hosted by the DU 330 or with control functions hosted by the CU 310.

[0069] Each RU 340 may implement lower layer functionality. In some deployments, the RU 340 controlled by the DU 330 may correspond to a logical node that hosts RF processing functions or low PHY layer functions based on functional split (e.g., functional split defined by 3GPP) (such as lower layer functional split), such as performing FFT, performing iFFT, digital beamforming, or PRACH extraction and filtering, etc. In such an architecture, each RU 340 may be operated to handle over-the-air (OTA) communications with one or more UEs 120. In some specific implementations, real-time and non-real-time aspects of control plane communications and user plane communications with the RU 340 may be controlled by the corresponding DU 330. In some scenarios, this configuration may enable each DU 330 and CU 310 to be implemented in a cloud-based RAN architecture (such as a vRAN architecture).

[0070] The SMO framework 305 may 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 305 may be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which may be managed via an operation and maintenance interface (such as an O1 interface). For virtualized network elements, the SMO framework 305 may be configured to interact with a cloud computing platform (such as an open cloud (O-Cloud) platform 390) to perform network element lifecycle management (such as instantiating virtualized network elements) via a cloud computing platform interface (such as an O2 interface). Such virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, non-RT RIC 315, and near-RTRIC 325. In some specific implementations, the SMO framework 305 may communicate with hardware aspects of the 4G RAN (such as an open eNB (O-eNB) 311) via the O1 interface. Additionally, in some implementations, the SMO framework 305 can communicate directly with each of the one or more RUs 340 via a corresponding O1 interface. The SMO framework 305 can also include a non-RT RIC 315 configured to support the functionality of the SMO framework 305.

[0071] The non-RT RIC 315 may be configured to include logic functions that implement non-real-time control and optimization of RAN elements and resources, artificial intelligence / machine learning (AI / ML) workflows including model training and updating, or policy-based guidance of applications / features in the near-RT RIC 325. The non-RT RIC 315 may be coupled to or communicate with the near-RT RIC 325 (such as via an A1 interface). The near-RT RIC 325 may be configured to include logic functions that implement near-real-time control and optimization of RAN elements and resources via data collection and actions through an interface (such as via an E2 interface) that connects one or more CUs 310, one or more DUs 330, or both, and the O-eNB with the near-RT RIC 325.

[0072] In some implementations, in order to generate an AI / ML model to be deployed in the near-RT RIC 325, the non-RT RIC 315 may receive parameters or external enrichment information from an external server. Such information may be utilized by the near-RT RIC 325 and may be received from a non-network data source or from a network function at the SMO framework 305 or the non-RT RIC 315. In some examples, the non-RT RIC 315 or the near-RT RIC 325 may be configured to tune RAN behavior or performance. For example, the non-RT RIC 315 may monitor long-term trends and patterns of performance and employ AI / ML models to perform corrective actions through the SMO framework 305 (such as via reconfiguration of the O1 interface) or via the creation of RAN management policies (such as A1 interface policies).

[0073] As indicated above, Figure 3 are provided as examples. Other examples can be found in the Figure 3 The examples described are different.

[0074] Figure 4 is a diagram illustrating an example 400 of a joint communications radar (JCR) system according to the present disclosure.

[0075] In some examples, a network device (e.g., UE 120, network node 110, or similar network device) may include JCR capabilities and / or include a JCR system. A JCR system may be a system capable of sharing frequency bands between a radar system and a communication system in a network device. In some instances, a JCR system may be classified as a collaborative JCR system (as schematically shown by reference numeral 402) or a co-designed JCR system (as schematically shown by reference numeral 404).

[0076] In a collaborative JCR system, network devices such as first device 406 and second device 408 may include separate radar systems and communication systems. For example, first device 406 may include radar system 410 and communication system 412, and second device 408 may similarly include radar system 414 and communication system 416. In such cases, certain information may be shared between radar systems 410, 414 and corresponding communication systems 412, 416 to improve the performance of the systems without changing the core operations of the respective systems. In some cases, benefits achieved by implementing a collaborative JCR system include spectrum reuse and ease of implementation compared to other JCR systems.

[0077] In a co-designed JCR system, network devices such as first device 418 and second device 420 may include a common transmitter and / or receiver for both communication functions and radar functions. For example, first device 418 may include JCR transmitter / receiver 422, and second device 420 may similarly include JCR transmitter / receiver 424. In such aspects, JCR transmitter / receivers 422, 424 may include functionality for generating various transmit waveforms (e.g., waveforms applicable to radar functionality and waveforms applicable to communication functionality) and / or may include functionality for processing receive waveforms for radar and / or communication systems. In some cases, benefits realized by implementing a co-designed JCR system include spectrum reuse and hardware reuse.

[0078] In some cases, the communication capability of the JCR system may utilize one type of waveform (such as a CP-OFDM waveform), and the radar capability of the JCR system may utilize another type of waveform (such as a time division multiplexing (TDM) waveform). However, in some other cases, both the communication capability and the radar capability of the JCR system may utilize the same waveform (such as a CP-OFDM waveform). Figure 5 An example of using a CP-OFDM waveform for radar sensing is described in more detail.

[0079] As indicated above, Figure 4 are provided as examples. Other examples can be found in the Figure 4 The examples described are different.

[0080] Figure 5 is a diagram illustrating an example 500 of a CP-OFDM waveform for radar sensing according to the present disclosure.

[0081] In some examples, CP-OFDM data may be used for radar sensing. In such cases, if the symbol length is less than the radar channel delay spread used for radar sensing, a multi-FFT per symbol algorithm may be used for radar detection and estimation. In some instances, the use of a multi-FFT per symbol algorithm may meet a radar range requirement of 300 meters in a single target scenario with a signal to interference plus noise ratio (SINR) of at least 15 decibels (dB). Furthermore, in some cases, radar sensing using the data portion of a CP-OFDM waveform may result in enhanced JCR performance compared to radar sensing using a TDM waveform.

[0082] More specifically, if Figure 5 As shown, and as indicated by reference numeral 502, the JCR system may use a CP-OFDM waveform for radar sensing, such as Figure 5As shown, as a target echo returned from one or more targets. In this example, three CP-OFDM symbols (labeled x0, x1, and x2) are shown for illustrative purposes, but in some other examples, more or fewer CP-OFDM symbols may be used without departing from the scope of the present disclosure. As shown by reference numerals 504 and 506, the JCR system may be associated with a minimum target range and a maximum target range. The line accompanying the minimum target range (indicated by reference numeral 504) represents the time at which a sensing signal (e.g., a CP-OFDM symbol) will return to the JCR device if a target echo is returned from a target located at a minimum distance away from the JCR device, while the line accompanying the maximum target range (indicated by reference numeral 506) represents the time at which a sensing signal will return to the JCR device if a target echo is returned from a target located at a maximum distance away from the JCR device.

[0083] In the case of a multi-FFT per symbol algorithm, the JCR device may sense a target echo using two FFT windows: a first FFT window (shown by reference numeral 508) and a second FFT window (shown by reference numeral 510). The first FFT window may be similar to the FFT window used during the single FFT per symbol algorithm. That is, the first FFT window may be associated with a one-shot frequency domain equalization (FDE) utilizing a single FFT window per symbol, such as three instances of the first FFT window indicated by reference numeral 508 corresponding to three CP-OFDM symbols x0, x1, and x2. The first FFT window may be aligned with a time period corresponding to a minimum target range (indicated by reference numeral 504) plus a duration of a CP associated with the corresponding CP-OFDM symbol, which is schematically indicated by a line shown by reference numeral 512. In this manner, the first FFT window may sense a target echo returned from a target located at a minimum distance away from the JCR device.

[0084] However, if any target is located farther from the JCR device than the minimum distance, the first FFT window may not fully capture the reflected signal. Figure 5 As shown by reference numeral 514, in this example, the target range is farther than the minimum range (e.g., the reflected CP-OFDM symbol returns to the JCR device at a later time than the time corresponding to the minimum range). In such a case, if the JCR device only uses the first FFT window, a portion of the reflected signal may be lost (e.g., not sensed by the JCR device). More specifically, as indicated by reference numeral 516, a portion of the CP-OFDM symbol indexed x2 is not captured by the first FFT window.

[0085] Thus, in some examples, a second FFT window may be used in order to fully capture the return signal, which may be aligned so that the second FFT window can sense the return that occurs after the first FFT window. More specifically, for the kth symbol, the second FFT window may start at the end of the first FFT window corresponding to the kth symbol to fully capture the received kth symbol. More specifically, Figure 5 In the example shown in , the third example of the second FFT window may capture a portion of the CP-OFDM symbol indexed x2 that may have been missed by the first FFT window (eg, the portion indicated by reference numeral 516).

[0086] In some examples, the signals received by the first FFT window and the second FFT window may then be used to create a multi-range Doppler (RD) map estimate in order to detect one or more targets. More specifically, as indicated by reference numeral 518, a first RD map estimate may be determined using the signals received in the first FFT window (e.g., by dividing the received signal r in the FFT domain and for each kth symbol by k Multiply the transmitted signal x k , and then determining the iFFT of the product of the received signal and the transmitted signal). Similarly, as indicated by reference numeral 520, a second RD diagram estimate may be determined using the signal received in the second FFT window (e.g., by transforming the received signal r in the FFT domain and for each k-th symbol k+1 Multiply the transmitted signal x k , and then determining the iFFT of the product of the received signal and the transmitted signal). The first RD map estimate and the second RD map estimate can be used together to detect targets located between the minimum target range and the maximum target range, such as by detecting near targets in the first FFT window, by detecting far targets in the second FFT window, and / or by detecting intermediate targets in the sum of the first FFT window and the second FFT window, as indicated by reference numeral 522.

[0087] More specifically, in some examples, the first RD map estimate may have a high target SINR for a small range (less than the FFT size (M) FFT ) in a delay bin (d) of 1 / 4 of the original value; for example, d <M FFT / 4), the second RD map estimate may have a high SINR for a large range (e.g., d>3M FFT / 4), and the RD map estimate obtained by adding the first RD map estimate and the second RD map estimate may have a high target SINR for a medium range (e.g., M FFT / 4 <d<3M FFT / 4). In some cases, using a JCR system (such as by using the CP-OFDM waveform based on the multi-FFT algorithm described above) can result in an increased operating area compared to a TDM-based radar system. The operating area of ​​a radar scheme can refer to a set of paired communication rates (sometimes referred to as communication link capacity) and detection ranges (sometimes referred to as sensing ranges). When factors such as time resources, frequency resources, transmit power, etc. remain constant across the two schemes, a JCR system can exhibit a better uniform operating range than a TDM system, regardless of communication direction, sensing direction, and / or similar factors.

[0088] However, JCR systems that employ multiple FFT algorithms per symbol and the like may suffer from certain disadvantages. For example, millimeter wave radars based on traditional communication hardware utilizing analog beamforming may suffer from high latency for high-resolution sensing in the angular domain with a wide field of view (FoV). Furthermore, although JCR systems that employ all-digital beamforming using high-speed ADCs and / or large antenna arrays may result in high-resolution sensing with a wide FoV, low latency, and high communication data rates, such architectures require complex hardware and result in high power, computational, and other resource consumption, making such systems impractical for many applications.

[0089] Some techniques and devices described herein achieve high-resolution sensing and large communication data rates along with low power, computing and other resource consumption and low hardware costs by adopting a distributed sensing process using a low-resolution ADC. More specifically, in some aspects, a network controller (e.g., network node 110, network controller 130, etc.) or similar network device may receive capability information and / or feedback information from a number of distributed UEs (e.g., UE 120) capable of performing a distributed sensing process. The network controller may select a subset of UEs to be included in a distributed sensing cluster, and may send configuration parameters to the subset of UEs, such as an indication of a low-resolution ADC setting to be used during the distributed sensing process. The subset of UEs may perform a distributed sensing process and send sensing information to the network controller based at least in part on the configuration parameters (e.g., low-resolution ADC settings). The network controller may then aggregate the sensing outputs from the subset of UEs to determine an aggregate sensing result. In this way, the network controller may use a low-resolution ADC to achieve high-resolution sensing and large communication data rates, resulting in low latency, high communication data rates, reduced power, computing and other resource consumption, and overall more efficient use of network resources.

[0090] As indicated above, Figure 5 are provided as examples. Other examples can be found in the Figure 5 The examples described are different.

[0091] Figure 6is a diagram illustrating an example 600 associated with distributed sensing using a JCR with a low-resolution ADC according to the present disclosure. Figure 6 As shown using solid lines in , example 600 includes communication between a centralized network controller 602 (e.g., network node 110, network controller 130, or similar network device) and a plurality of distributed sensing units 604, 606, 608, 610 (e.g., UE 120). In some aspects, the centralized network controller 602 and the distributed sensing units 604, 606, 608, 610 may be included in a wireless network such as wireless network 100. The network controller 602 and the distributed sensing units 604, 606, 608, 610 may communicate via respective wireless access links (which may include uplinks and downlinks).

[0092] Furthermore, in some aspects, in addition to performing communication operations (such as with the network controller 602), the distributed sensing units 604, 606, 608, 610 may also be capable of performing sensing and / or radar operations. Figure 6 For example, in some examples, each of the distributed sensing units 604, 606, 608, 610 can be combined with the above Figure 4 The JCR system described in this document is associated with Figure 6 As shown, each of the distributed sensing units 604, 606, 608, 610 may be capable of single-station sensing (e.g., each of the distributed sensing units 604, 606, 608, 610 may include a co-located transmitter and receiver capable of sending and receiving sensing signals). However, aspects of the present disclosure are not limited in this regard. In some other aspects, one or more of the distributed sensing units 604, 606, 608, 610 may be associated with multi-station sensing capabilities, wherein one or more of the distributed sensing units 604, 606, 608, 610 may include only a transmitter and / or may be associated only with a transmission capability, and wherein one or more of the distributed sensing units 604, 606, 608, 610 may include only a receiver and / or may be associated only with a reception capability. In such aspects, two or more of the distributed sensing units 604, 606, 608, 610 may collaboratively perform sensing operations (e.g., one or more of the distributed sensing units 604, 606, 608, 610 may send a sensing signal and another one or more of the distributed sensing units 604, 606, 608, 610 may receive a return of the sensing signal).

[0093] As above combined Figure 5As described, in some cases, the sensing performance of a JCR system using a cost-effective all-digital communication unit including a low-resolution ADC may be poor. For example, a single single-station sensing unit (e.g., one of the distributed sensing units 604, 606, 608, 610) associated with 32 antennas and employing a low-resolution ADC may only result in a resolution of three to four degrees with a limited dynamic range. This may not be sufficient for many sensing applications, which typically require a resolution of one degree and a range of up to 300 meters. As used herein, a "low-resolution ADC" may refer to an ADC having a resolution of six or fewer bits.

[0094] In some aspects, to overcome this poor sensing performance, multiple distributed sensing units (e.g., distributed sensing units 604, 606, 608, 610) employing low-resolution ADCs may collaboratively perform a distributed sensing process, resulting in improved resolution and greater dynamic range. In other words, aspects of the present disclosure implement distributed sensing utilizing widely separated JCR units that support configurable low-resolution ADCs, thereby achieving enhanced sensing performance at low cost and power consumption. For example, as Figure 6 , and as indicated by the solid lines in , and as indicated by reference numeral 612, the network controller 602 and the distributed sensing units 604, 606, 608, 610 may communicate certain parameters and / or information associated with the distributed sensing process to each other. For example, each of the distributed sensing units 604, 606, 608, 610 may send feedback information to the network controller 602, and based at least in part on the feedback information, the network controller 602 may send back configuration parameters for the distributed sensing process to the distributed sensing units 604, 606, 608, 610. For example, in some aspects, based at least in part on the feedback information received from the distributed sensing units 604, 606, 608, 610, the network controller 602 may determine an ADC resolution to be used during the distributed sensing process and / or indicate the ADC resolution to each of the distributed sensing units 604, 606, 608, 610.

[0095] In some aspects, such as Figure 6, the distributed sensing units 604, 606, 608, 610 may then perform a sensing process based at least in part on the configuration parameters (e.g., ADC resolution) indicated by the network controller 602. More specifically, each of the distributed sensing units 604, 606, 608, 610 may use its radar capabilities to sense the location of one or more targets 614 based at least in part on the configuration parameters signaled by the network controller 602. The distributed sensing units 604, 606, 608, 610 may then transmit the sensing information (e.g., the results of the corresponding sensing process) to the network controller 602. As shown by reference numeral 616, the network controller may aggregate the sensing information from the distributed sensing units 604, 606, 608, 610, which may achieve spatial diversity, noise reduction of range Doppler angle heat maps, and / or point cloud densification, among other benefits. By aggregating sensing results from multiple distributed sensing units using low-resolution ADCs, etc., the network controller 130 can achieve high-performance sensing (e.g., one-degree resolution and 300-meter range, etc.) without the attendant power, computational, and other resource consumption required by JCR systems that use full digital beamforming using high-speed ADCs and / or large antenna arrays. Figure 7 Details of high performance distributed sensing with low resolution ADCs using a centralized controller are described.

[0096] As indicated above, Figure 6 are provided as examples. Other examples can be found in the Figure 6 The examples described are different.

[0097] Figure 7 is a diagram of an example 700 associated with distributed sensing using low-resolution analog-to-digital converters according to the present disclosure. Figure 7 As shown in FIG. 1 , a plurality of distributed UEs (e.g., UE 120) (such as a first UE 705, a second UE 710, and / or one or more other UEs 715) may communicate with a network node 720 (e.g., network node 110). In some aspects, the first UE 705, the second UE 710, and / or the one or more other UEs 715 may correspond to the above combined Figure 6 Described distributed sensing units 604, 606, 608, 610. Additionally or alternatively, in some aspects, one or more of the first UE 705, the second UE 710, and / or the one or more other UEs 715 may correspond to stationary UEs, such as roadside units (RSUs) or similar stationary UEs.

[0098] Additionally or alternatively, the network node 720 may correspond to the above combination Figure 6The centralized network controller 602 is described. In some aspects, the first UE 705, the second UE 710, one or more other UEs 715, and / or the network node 720 can be part of a wireless network (e.g., the wireless network 100). Figure 7 Prior to the operations shown, the first UE 705, the second UE 710, and / or one or more other UEs 715 may have established a wireless connection with the network node 720. In some aspects, each of the first UE 705, the second UE 710, and the one or more other UEs 715 may be connected to a JCR system (such as the above combined Figure 4 is associated with one of the JCR systems described.

[0099] As shown by reference numeral 725, the first UE 705, the second UE 710, and / or one or more other UEs 715 may send a capability report, and the network node 720 may receive the capability report. In some aspects, the capability report may indicate that the UE supports the distributed sensing process. In other words, the network node 720 may receive capability information associated with the distributed sensing process from one or more of the first UE 705, the second UE 710, and / or one or more other UEs 715. For example, the capability information may indicate that the first UE 705, the second UE 710, and / or one or more other UEs 715 may be capable of the above combination. Figure 6 The distributed sensing unit 604, 606, 608, 610 described above may be used for execution.

[0100] In some aspects, the capability report may indicate a number of antennas associated with the corresponding UE, a speed associated with an ADC associated with the corresponding UE, a number of bits associated with the ADC associated with the corresponding UE, a power consumption associated with the ADC associated with the corresponding UE, a field of view associated with the corresponding UE, or similar information. In such aspects, the network node 720 may determine an optimized configuration parameter for each UE based at least in part on the corresponding capability report (described in more detail below in conjunction with reference numeral 750).

[0101] In some aspects, the network node 720 may collect additional parameters associated with the distributed sensing process and / or for optimizing configuration parameters associated with the distributed sensing process from one or more of the first UE 705, the second UE 710, and / or the one or more other UEs 715. For example, as indicated by reference numeral 730, the first UE 705, the second UE 710, and / or the one or more other UEs 715 may send and the network node 720 may receive location parameters (e.g., information indicating the respective location of the corresponding UE), motion parameters (e.g., information indicating a speed or similar parameter associated with the movement of the corresponding UE), and / or orientation parameters (e.g., information indicating the relative location of the corresponding UE).

[0102] As shown by reference numeral 735, in some aspects, at least one of the UEs (e.g., Figure 7 705) may send and the network node 720 may receive information associated with the sensing needs of at least one UE. For example, the first UE 705 may have a sensing need that the first UE 705 cannot perform alone due to power and / or ADC requirements, and / or a sensing need that would require high power, computational and other resource consumption if performed by the first UE 705 alone, as described above in conjunction with Figure 5 Accordingly, in some aspects, the first UE 705 may send an indication of a need for sensing to the network node 720 in order to trigger a distributed sensing process (eg, in conjunction with the above Figure 6 In some aspects, as described in more detail below in conjunction with reference numerals 745 and 750, the network node 720 may determine, based at least in part on the indication of the need for sensing, one or more distributed sensing cluster parameters, such as which sensing parameters to estimate, which targets to track (which may be known by a coarse estimation performed by the first UE 705 or another separate sensing unit), how much tracking accuracy is necessary to complete the sensing task, the ADC resolution associated with the sensing task, the detection performance associated with the sensing task (e.g., coarse detection performance or fine detection performance), etc. For example, if the network node 720 determines that only a relatively coarse detection performance is necessary to complete the sensing task, the network node 720 may use a low-resolution ADC for the distributed sensing process, and if the network node 720 determines that a relatively fine detection performance is necessary to complete the sensing task, the network node 720 may use a high-resolution ADC for the distributed sensing process.

[0103] As shown by reference numeral 740, in some aspects, the first UE 705, the second UE 710 and / or one or more other UEs 715 may send and the network node 720 may receive feedback information associated with the distributed sensing process. In some aspects, the feedback information may include information used by the network node 720 to determine a set of UEs to be included in the distributed sensing process and / or used by the network node 720 to determine certain configuration parameters to be used by the set of UEs when performing the distributed sensing process. For example, in some aspects, the feedback information may indicate a sparsity rate associated with the sensing channel. In such aspects, if the sensing channel is relatively sparse, a relatively low ADC resolution may be used for the distributed sensing process. On the contrary, if the sensing channel is relatively congested, a relatively high ADC resolution may be required for the distributed sensing process.

[0104] Additionally or alternatively, in some aspects, the feedback information may indicate a dynamic range associated with the sensing channel. For example, if the sensing channel includes only small objects (e.g., pedestrians, etc.), the network node 720 may determine that a relatively low ADC resolution can be used for a distributed sensing process. On the contrary, if the sensing channel includes both small objects (e.g., pedestrians, etc.) and large objects (e.g., trucks), the distributed sensing process may require a relatively high ADC resolution. Additionally or alternatively, the feedback information may indicate a coarse target distribution associated with the sensing channel and / or a radar cross section (RCS) pattern in a range Doppler angle domain. In such aspects, if the coarse target distribution and / or RCS pattern indicates a point target in the sensing channel, the network node 720 may determine that a relatively low ADC resolution can be used for a distributed sensing process. On the contrary, if the coarse target distribution and / or RCS pattern indicates an extended target with a large size, the distributed sensing process may require a relatively high ADC resolution and / or may require a more widely separated sensing unit to utilize spatial diversity.

[0105] Additionally or alternatively, in some aspects, the feedback information may indicate one or more path loss model parameters associated with the sensing channel. In these aspects, the higher the path loss, the higher the ADC resolution that may be required for the distributed sensing process to achieve a large dynamic range. Additionally or alternatively, in some aspects, the feedback information may indicate one or more interference measurements associated with the sensing channel. In such aspects, the greater the interference, the higher the ADC resolution that may be required for the distributed sensing process to achieve a large dynamic range and / or to achieve enhanced target detection performance at a long range.

[0106] As indicated by reference numeral 745, network node 720 may select a set of UEs (sometimes referred to as a distributed sensing cluster) to be included in the distributed sensing process based at least in part on the feedback information. In some aspects, the set of UEs (e.g., a distributed sensing cluster) may be further selected based at least in part on: capability information described above in conjunction with reference numeral 725; position, motion, and / or orientation parameters described above in conjunction with reference numeral 730; and / or an indication of a need for sensing described above in conjunction with reference numeral 735.

[0107] In some aspects, the distributed sensing cluster may include less than all UEs from which the network node 720 receives feedback information. Figure 7 In the example depicted in , the network node 720 may select one or more of the first UE 705 and the other UE 715 to include in the distributed sensing cluster, but the network node 720 may not select the second UE 710 to include in the distributed sensing cluster. Additionally or alternatively, in some aspects, the network node 720 may be a gNB or similar network node (or one or more components thereof, such as a CU, DU, or RU), and / or each UE of the distributed sensing cluster may be an RSU. In some aspects, selecting which UEs to include in the distributed sensing cluster may include the network node 720 performing a tradeoff between the number of sensing units included in the cluster and the ADC resolution used per unit (e.g., the more UEs included in the distributed sensing cluster, the lower the ADC resolution that can be used by each UE).

[0108] Additionally or alternatively, in the operations illustrated in conjunction with reference numeral 745, the network node 720 may allocate resources to each UE in a set of UEs (e.g., a distributed sensing cluster) for performing a distributed sensing process. Furthermore, in some aspects, the network node 720 may allocate resources to each UE in a set of UEs in multiple resource allocation stages. For example, the network node 720 may allocate a first set of corresponding resources to each UE for performing a first (e.g., coarse) sensing process, and then may allocate a second set of corresponding resources to each UE for performing a second (e.g., fine) sensing process. Similarly, in some aspects, the network node 720 may select a set of UEs (e.g., a distributed sensing cluster) in one selection process, while in some other aspects, the network node 720 may select a set of UEs using multiple and / or iterative selection processes. For example, in some aspects, the network node 720 may select a first set of UEs for performing a distributed sensing process, and then the network node 720 may later select a second set of UEs (which may be a subset of the first set of UEs in some aspects) for performing a second (e.g., refined) distributed sensing process. In some aspects, the second set of UEs may be selected based at least in part on sensing information received from the first set of UEs (described in more detail below in conjunction with reference numeral 760), changes, occurrences, or events in the sensing channel or environment (e.g., movement of a target and / or sensing unit), and the like.

[0109] Additionally or alternatively, the network node 720 may select one or more configuration parameters associated with each of the set of UEs associated with the distributed sensing process. For example, the network node 720 may select an ADC resolution associated with the distributed sensing process, an ADC speed associated with the distributed sensing process, an automatic gain control (AGC) setting associated with the distributed sensing process, a transmit power associated with the distributed sensing process, one or more joint waveforms and / or beamforming parameters associated with the distributed sensing process, and / or a type of receive processing associated with the distributed sensing process (e.g., coherent or non-coherent, centralized or distributed, etc.), etc. In some aspects, the configuration parameters may vary between UEs in the distributed sensing cluster (e.g., a first UE may be configured with a first ADC resolution, a first ADC speed, a first AGC setting, a first transmit power, a first waveform / beamforming parameter, and / or a first receive processing parameter, etc.; and a second UE may be configured with a second ADC resolution, a second ADC speed, a second AGC setting, a second transmit power, a second waveform / beamforming parameter, and / or a second receive processing parameter, etc.).

[0110] As indicated by reference numeral 750, the network node 720 may send and one or more UEs (e.g., UEs included in a distributed sensing cluster) may receive configuration information. In some aspects, the one or more UEs may receive the configuration information via one or more of RRC signaling, one or more MAC control elements (MAC-CEs), and / or downlink control information (DCI), etc. In some aspects, the configuration information may include an indication of one or more configuration parameters for the one or more UEs to select (e.g., known to the one or more UEs and / or previously indicated by the network node 720 or other network device) and / or explicit configuration information for the one or more UEs to configure the one or more UEs, etc.

[0111] More specifically, in some aspects, the network node 720 may send and a set of UEs (e.g., a distributed sensing cluster) may receive an indication of configuration parameters associated with a distributed sensing process. As described above in conjunction with reference numeral 745, in some aspects, the configuration parameters associated with the distributed sensing process may be based at least in part on the capability information described above in conjunction with reference numeral 725. Additionally or alternatively, in some aspects, the configuration parameters associated with the distributed sensing process may be based at least in part on the location parameters, motion parameters, and / or orientation parameters described above in conjunction with reference numeral 730. Additionally or alternatively, in some aspects, the configuration parameters associated with the distributed sensing process may be based at least in part on information associated with the sensing needs of at least one UE described above in conjunction with reference numeral 735. Additionally or alternatively, in some aspects, the configuration parameters associated with the distributed sensing process may be based at least in part on the feedback information described above in conjunction with reference numeral 740.

[0112] As described above in conjunction with reference numeral 745, in some aspects, the network node 720 may select a low-resolution ADC setting associated with the distributed sensing process. Thus, in such aspects, the network node 720 may send and the set of UEs may receive an indication of the low-resolution ADC setting (e.g., in some aspects, the configuration parameter may include an indication of the ADC resolution associated with the distributed sensing process). Additionally or alternatively, in some aspects, the configuration parameter may include an ADC speed associated with the distributed sensing process. Additionally or alternatively, in some aspects, the configuration parameter may include an AGC setting associated with the distributed sensing process. Additionally or alternatively, in some aspects, the configuration parameter may include a transmit power setting associated with the distributed sensing process. Additionally or alternatively, in some aspects, the configuration parameter may include a joint waveform parameter associated with the distributed sensing process. Additionally or alternatively, in some aspects, the configuration parameter may include a joint beamforming parameter associated with the distributed sensing process. Additionally or alternatively, in some aspects, the configuration parameter may include a waveform type associated with the distributed sensing process. Furthermore, in aspects where the network node 720 allocates resources to each UE in a set of UEs (eg, a distributed sensing cluster) for performing a distributed sensing process, the configuration parameters may include an indication of the resources.

[0113] A set of UEs (e.g., a distributed sensing cluster) may configure itself based at least in part on the configuration information. In some aspects, the set of UEs may be configured to perform one or more operations described herein based at least in part on the configuration information. More specifically, as shown by reference numeral 755, one or more of the first UE 705 and / or the other UEs 715 (e.g., the distributed sensing cluster) may perform a distributed sensing process based at least in part on the configuration parameters. For example, the first UE 705 and / or the other UEs 715 may each perform a distributed sensing process in combination with the configuration parameters. Figure 6 The distributed sensing units 604, 606, 608, 610 use low-resolution ADC settings (e.g., ADC settings associated with six or fewer bits) to sense the position of one or more targets (such as one or more targets 614) in a manner similar to that described above.

[0114] As indicated by reference numeral 760, each of the first UE 705 and / or one or more of the other UEs 715 (e.g., each UE of the distributed sensing cluster) may send and the network node 720 may receive an indication of sensing information associated with a distributed sensing process. In some aspects, the sensing information may be a sensing result associated with a sensing process performed by the corresponding UE using the corresponding configuration parameters described in conjunction with reference numeral 750. In some aspects, the set of UEs may perform distributed processing of the sensing results, while in some other aspects, the network node 720 may perform centralized processing of the sensing results. More specifically, in terms of distributed processing, each UE in the set of UEs may send processed channel parameters associated with the distributed sensing process, an ADC resolution associated with the distributed sensing process, and / or an ADC speed associated with the distributed sensing process. The network node 720 may then aggregate the processed parameters from each distributed UE, as described in more detail below in conjunction with reference numeral 765. In contrast, in terms of centralized processing, the sensing information received from each distributed UE may include raw data associated with the distributed sensing process, an ADC resolution associated with the distributed sensing process, and / or an ADC speed associated with the distributed sensing process. The network node 720 may then process the raw data and aggregate the processed data, as described in more detail below in conjunction with reference numeral 765.

[0115] More specifically, as shown by reference numeral 765, the network node 720 may be combined with the above Figure 6 The sensing information from each UE in the set of UEs (e.g., the first UE 705 and / or one or more of the other UEs 715) is aggregated in a manner similar to that described above to create an aggregated sensing result. In addition, in terms of distributed processing, the network node 720 may aggregate the processed parameters from each UE to create an aggregated sensing result, while in terms of centralized processing, the network node 720 may first process the raw data received from each UE and then aggregate the processed data to create an aggregated sensing result. In addition, as described above in conjunction with reference numeral 745, in some aspects, the network node 720 may iteratively select UEs to be included in the set of UEs (e.g., a distributed sensing cluster). Therefore, in some aspects, the network node 720 may decide which UEs to include in the next distributed sensing cluster and / or what low-resolution ADC settings should be used for the next distributed sensing cluster based at least in part on the sensing information and / or the aggregated sensing results.

[0116] Based at least in part on the network node 720, the first UE 705, the second UE 710, and / or one or more other UEs 715 using the low-resolution ADC as described above to perform a distributed sensing process, the network node 720, the first UE 705, the second UE 710, and / or one or more other UEs 715 can save computational, power, network, and / or communication resources that might otherwise be consumed by a traditional sensing process. For example, based at least in part on the network node 720, the first UE 705, the second UE 710, and / or one or more other UEs 715 using the low-resolution ADC to perform a distributed sensing process, the network node 720, the first UE 705, the second UE 710, and / or one or more other UEs 715 can use the low-resolution ADC to achieve high-resolution sensing and large communication data rates, thereby resulting in low latency, high communication data rates, reduced power, computational and other resource consumption, and overall more efficient use of network resources.

[0117] As indicated above, Figure 7 are provided as examples. Other examples can be found in the Figure 7 The examples described are different.

[0118] Figure 8 is a diagram illustrating an example process 800 performed, for example, by a network node in accordance with the present disclosure. The example process 800 is an example in which a network node (eg, network node 720) performs operations associated with distributed sensing utilizing a low-resolution ADC.

[0119] like Figure 8 As shown in FIG. 8 , in some aspects, process 800 may include receiving feedback information associated with a distributed sensing process from one or more UEs (block 810). For example, a network node (e.g., using Fig.10 The communication manager 150 and / or receiving component 1002 depicted in FIG. 1004 may receive feedback information associated with the distributed sensing process from one or more UEs, as described above.

[0120] like Figure 8 As further shown in FIG. 8 , in some aspects, process 800 may include selecting a set of UEs to be included in a distributed sensing process based at least in part on the feedback information (block 820). Fig.10 The communication manager 150 and / or the selection component 1008) depicted in FIG. 1 may select a set of UEs to be included in the distributed sensing process based at least in part on the feedback information, as described above.

[0121] like Figure 8As further shown in FIG. 8 , in some aspects, process 800 may include sending an indication of configuration parameters associated with a distributed sensing process to a set of UEs (block 830). For example, a device (e.g., using Fig.10 The communications manager 150, sending component 1004, and / or configuring component 1010 depicted in FIG. 1004 may send an indication of configuration parameters associated with a distributed sensing process to a set of UEs, as described above.

[0122] Process 800 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0123] In a first aspect, process 800 includes: selecting a low resolution ADC setting associated with the distributed sensing process; and sending an indication of the low resolution ADC setting to the set of UEs.

[0124] In a second aspect, either alone or in combination with the first aspect, the feedback information includes an indication of at least one of: a sparsity rate associated with a sensing channel, a dynamic range associated with the sensing channel, a coarse target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or one or more interference measurements associated with the sensing channel.

[0125] In a third aspect, either alone or in combination with one or more of the first and second aspects, process 800 includes receiving capability information associated with the distributed sensing process from each UE in a set of UEs, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

[0126] In a fourth aspect, either alone or in combination with one or more of the first to third aspects, the capability information indicates at least one of: the number of antennas associated with the UE, the speed associated with an ADC associated with the UE, the number of bits associated with the ADC, the power consumption associated with the ADC, or the field of view associated with the UE.

[0127] In a fifth aspect, either alone or in combination with one or more of the first to fourth aspects, process 800 includes receiving information associated with a sensing need of the at least one UE from a set of UEs, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the information associated with the sensing need of the at least one UE.

[0128] In a sixth aspect, either alone or in combination with one or more of aspects 1 to 5, process 800 includes receiving, from each UE in a set of UEs, an indication of at least one of: a position associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0129] In a seventh aspect, alone or in combination with one or more of the first to sixth aspects, at least one UE in the set of UEs is a roadside unit.

[0130] In an eighth aspect, either alone or in combination with one or more of aspects one to seven, the configuration parameters include an indication of one or more of: an ADC resolution associated with the distributed sensing process, an ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or a transmit power setting associated with the distributed sensing process.

[0131] In a ninth aspect, either alone or in combination with one or more of aspects one to eight, the configuration parameters include an indication of at least one of: a joint waveform parameter associated with the distributed sensing process, a joint beamforming parameter associated with the distributed sensing process, or a type of waveform associated with the distributed sensing process.

[0132] In a tenth aspect, either alone or in combination with one or more of the first to ninth aspects, process 800 includes allocating resources to each UE in a set of UEs for performing the distributed sensing process, wherein the configuration parameters include an indication of the resources.

[0133] In an eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 800 includes: receiving an indication of sensing information associated with the distributed sensing process from each UE in a set of UEs; and aggregating the sensing information from each UE in the set of UEs to create an aggregated sensing result.

[0134] although Figure 8 An example block diagram of process 800 is shown, but in some aspects, process 800 may include Figure 8 The blocks depicted may be additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted. Additionally or alternatively, two or more of the blocks of process 800 may be performed in parallel.

[0135] Fig. 9is a diagram illustrating an example process 900 performed, for example, by a UE according to the present disclosure. Example process 900 is an example in which a first UE (eg, UE 120, first UE 705, or similar UE) performs operations associated with distributed sensing using a low-resolution ADC.

[0136] like Fig. 9 As shown in , in some aspects, process 900 may include sending feedback information associated with the distributed sensing process to a network node (block 910). For example, a UE (e.g., using Fig.11 The communication manager 140 and / or the sending component 1104 depicted in FIG. 1 may send feedback information associated with the distributed sensing process to the network nodes, as described above.

[0137] like Fig. 9 As further shown in FIG. 9 , in some aspects, process 900 may include receiving configuration parameters associated with a distributed sensing process from a network node, wherein the configuration parameters include at least one low-resolution ADC setting (block 920). For example, a device (e.g., using Fig.11 The communication manager 140 and / or receiving component 1102 depicted in FIG. 1 may receive configuration parameters associated with a distributed sensing process from a network node, wherein the configuration parameters include at least one low-resolution ADC setting, as described above.

[0138] like Fig. 9 As further shown, in some aspects, process 900 may include performing a distributed sensing process based at least in part on the configuration parameters (block 930). Fig.11 The communication manager 140 and / or the distributed sensing component 1108 depicted in FIG. 10A may perform a distributed sensing process based at least in part on the configuration parameters, as described above.

[0139] Process 900 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0140] In a first aspect, the feedback information includes an indication of at least one of: a sparsity rate associated with a sensing channel, a dynamic range associated with the sensing channel, a coarse target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or one or more interference measurements associated with the sensing channel.

[0141] In a second aspect, alone or in combination with the first aspect, process 900 includes sending capability information associated with the distributed sensing process to the network node, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

[0142] In a third aspect, either alone or in combination with one or more of the first and second aspects, the capability information indicates at least one of: a number of antennas associated with the UE, a speed associated with an ADC associated with the UE, a number of bits associated with the ADC, a power consumption associated with the ADC, or a field of view associated with the UE.

[0143] In a fourth aspect, either alone or in combination with one or more of the first to third aspects, process 900 includes sending information associated with the sensing needs of the UE to the network node, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the information associated with the sensing needs of the UE.

[0144] In a fifth aspect, either alone or in combination with one or more of the first to fourth aspects, process 900 includes sending to the network node an indication of at least one of: a position associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0145] In a sixth aspect, alone or in combination with one or more of the first to fifth aspects, the UE is a roadside unit.

[0146] In a seventh aspect, either alone or in combination with one or more of aspects one to six, the configuration parameters include an indication of one or more of: an ADC resolution associated with the distributed sensing process, an ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or a transmit power setting associated with the distributed sensing process.

[0147] In an eighth aspect, either alone or in combination with one or more of aspects one to seven, the configuration parameters include an indication of at least one of: a joint waveform parameter associated with the distributed sensing process, a joint beamforming parameter associated with the distributed sensing process, or a type of waveform associated with the distributed sensing process.

[0148] In a ninth aspect, alone or in combination with one or more of the first to eighth aspects, process 900 includes receiving, from the network node, an indication of allocated resources for performing the distributed sensing process.

[0149] In a tenth aspect, alone or in combination with one or more of the first to ninth aspects, process 900 includes sending an indication of sensing information associated with the distributed sensing process to the network node.

[0150] In an eleventh aspect, either alone or in combination with one or more of the first to tenth aspects, the sensing information includes an indication of at least one of: a processed channel parameter associated with the distributed sensing process, an ADC resolution associated with the distributed sensing process, or an ADC speed associated with the distributed sensing process.

[0151] although Fig. 9 Example blocks of process 900 are shown, but in some aspects, process 900 may include Fig. 9 The blocks depicted may be additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted. Additionally or alternatively, two or more of the blocks of process 900 may be performed in parallel.

[0152] Fig.10 1 is a diagram of an example apparatus 1000 for wireless communication according to the present disclosure. Apparatus 1000 may be a network node (e.g., network node 720), or a network node may include apparatus 1000. In some aspects, apparatus 1000 includes a receiving component 1002 and a sending component 1004, which may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1000 may communicate with another apparatus 1006 (such as UE 120, network node 110, or another wireless communication device) using receiving component 1002 and sending component 1004. As further shown, apparatus 1000 may include a communication manager 150. Communication manager 150 may include one or more of a selection component 1008, a configuration component 1010, or an aggregation component 1012, etc.

[0153] In some aspects, the apparatus 1000 may be configured to perform Figure 6 to Figure 7 Additionally or alternatively, the apparatus 1000 may be configured to perform one or more processes described herein, such as Figure 8 The process 800. In some aspects, Fig.10 The apparatus 1000 and / or one or more components shown in the drawings may include a combination of Figure 2 One or more components of the described network node 110. Additionally or alternatively, Fig.10 One or more of the components shown may be combined with Figure 2 Additionally or alternatively, one or more components in the component set may be at least partially implemented as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or codes stored in a non-transitory computer-readable medium and can be executed by a controller or processor to perform the function or operation of the component.

[0154] The receiving component 1002 may receive communications (such as reference signals, control information, data communications, or combinations thereof) from the device 1006. The receiving component 1002 may provide the received communications to one or more other components of the device 1000. In some aspects, the receiving component 1002 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding) on ​​the received communications and may provide the processed signals to one or more other components of the device 1000. In some aspects, the receiving component 1002 may include combining Figure 2 The network node 110 may be described as having one or more antennas, modems, demodulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof.

[0155] The transmitting component 1004 may transmit communications (such as reference signals, control information, data communications, or combinations thereof) to the device 1006. In some aspects, one or more other components of the device 1000 may generate communications and may provide the generated communications to the transmitting component 1004 for transmission to the device 1006. In some aspects, the transmitting component 1004 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to the device 1006. In some aspects, the transmitting component 1004 may include combining Figure 2 One or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memories, or combinations thereof of the depicted network node 110. In some aspects, the transmit component 1004 can be co-located with the receive component 1002 in a transceiver.

[0156] The receiving component 1002 can receive feedback information associated with the distributed sensing process from one or more UEs. The selecting component 1008 can select a set of UEs to be included in the distributed sensing process based at least in part on the feedback information. The sending component 1004 and / or the configuring component 1010 can send an indication of configuration parameters associated with the distributed sensing process to the set of UEs.

[0157] The selection component 1008 can select a low resolution ADC setting associated with the distributed sensing process.

[0158] Transmitting component 1004 and / or configuring component 1010 can transmit an indication of the low resolution ADC setting to the set of UEs.

[0159] Receiving component 1002 can receive capability information associated with a distributed sensing process from each UE in the set of UEs, wherein configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

[0160] The receiving component 1002 can receive, from at least one UE of the set of UEs, information associated with sensing needs of the at least one UE, wherein configuration parameters associated with the distributed sensing process are based at least in part on the information associated with the sensing needs of the at least one UE.

[0161] Receiving component 1002 can receive, from each UE in the set of UEs, an indication of at least one of: a location associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0162] Receiving component 1002 can receive, from each UE in the set of UEs, an indication of sensing information associated with a distributed sensing process.

[0163] Aggregation component 1012 can aggregate sensing information from each UE in the set of UEs to create an aggregated sensing result.

[0164] Fig.10 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.10 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.10 Two or more components shown may be implemented in a single component, or Fig.10 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.10 The illustrated set of component(s) may be described as being executable by Fig.10 Another collection of components shown performs one or more functions.

[0165] Fig.11 1 is a diagram of an example apparatus 1100 for wireless communication according to the present disclosure. Apparatus 1100 may be a UE (e.g., UE 120, first UE 705, or similar UE, etc.), or a UE may include apparatus 1100. In some aspects, apparatus 1100 includes a receiving component 1102 and a transmitting component 1104, which may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1100 may communicate with another apparatus 1106 (such as UE 120, network node 110, or another wireless communication device) using receiving component 1102 and transmitting component 1104. As further shown, apparatus 1100 may include a communication manager 140. Communication manager 140 may include a distributed sensing component 1108, etc.

[0166] In some aspects, the apparatus 1100 may be configured to perform Figure 6 to Figure 7Additionally or alternatively, the apparatus 1100 may be configured to perform one or more processes described herein, such as Fig. 9 The process 900. In some aspects, Fig.11 The apparatus 1100 and / or one or more components shown in FIG. 1 may include a combination of Figure 2 One or more components of the described UE 120. Additionally or alternatively, Fig.11 One or more of the components shown may be combined with Figure 2 Additionally or alternatively, one or more components in the component set may be at least partially implemented as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or codes stored in a non-transitory computer-readable medium and can be executed by a controller or processor to perform the function or operation of the component.

[0167] The receiving component 1102 may receive communications (such as reference signals, control information, data communications, or combinations thereof) from the device 1106. The receiving component 1102 may provide the received communications to one or more other components of the device 1100. In some aspects, the receiving component 1102 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding) on ​​the received communications and may provide the processed signals to one or more other components of the device 1100. In some aspects, the receiving component 1102 may include combining Figure 2 The UE 120 is described as having one or more antennas, modems, demodulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof.

[0168] The transmitting component 1104 may transmit communications (such as reference signals, control information, data communications, or combinations thereof) to the device 1106. In some aspects, one or more other components of the device 1100 may generate communications and may provide the generated communications to the transmitting component 1104 for transmission to the device 1106. In some aspects, the transmitting component 1104 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to the device 1106. In some aspects, the transmitting component 1104 may include combining Figure 2 One or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memory, or combinations thereof of the depicted UE 120. In some aspects, the transmit component 1104 can be co-located with the receive component 1102 in a transceiver.

[0169] The sending component 1104 can send feedback information associated with the distributed sensing process to the network node. The receiving component 1102 can receive configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution ADC setting. The distributed sensing component 1108 can perform the distributed sensing process based at least in part on the configuration parameters.

[0170] Transmitting component 1104 can transmit capability information associated with the distributed sensing process to the network node, wherein configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

[0171] The transmitting component 1104 can transmit information associated with the sensing needs of the UE to the network node, wherein configuration parameters associated with the distributed sensing process are based at least in part on the information associated with the sensing needs of the UE.

[0172] Transmitting component 1104 can transmit, to a network node, an indication of at least one of: a location associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0173] Receiving component 1102 can receive, from a network node, an indication of allocated resources for performing a distributed sensing process.

[0174] Transmitting component 1104 can transmit an indication of sensing information associated with the distributed sensing process to a network node.

[0175] Fig.11 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.11 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.11 Two or more components shown may be implemented in a single component, or Fig.11 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.11 The illustrated set of component(s) may be described as being executable by Fig.11 Another collection of components shown performs one or more functions.

[0176] The following provides an overview of some aspects of the disclosure:

[0177] Aspect 1: A method of wireless communication performed by an apparatus of a network node, the method comprising: receiving feedback information associated with a distributed sensing process from one or more UEs; selecting a set of UEs to be included in the distributed sensing process based at least in part on the feedback information; and sending an indication of configuration parameters associated with the distributed sensing process to the set of UEs.

[0178] Aspect 2: The method according to aspect 1, further comprising: selecting a low-resolution ADC setting associated with the distributed sensing process; and sending an indication of the low-resolution ADC setting to the set of UEs.

[0179] Aspect 3: A method according to any one of Aspects 1 to 2, wherein the feedback information includes an indication of at least one of: a sparsity rate associated with a sensing channel, a dynamic range associated with the sensing channel, a coarse target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or one or more interference measurements associated with the sensing channel.

[0180] Aspect 4: According to any one of Aspects 1 to 3, the method also includes receiving capability information associated with the distributed sensing process from each UE in the set of UEs, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the capability information.

[0181] Aspect 5: A method according to Aspect 4, wherein for each UE in the set of UEs, the capability information indicates at least one of: the number of antennas associated with the UE, the speed associated with an analog-to-digital converter (ADC) associated with the UE, the number of bits associated with the ADC, the power consumption associated with the ADC, or the field of view associated with the UE.

[0182] Aspect 6: According to the method described in any one of Aspects 1 to 5, the method also includes receiving information associated with the sensing needs of the at least one UE from the set of UEs, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the information associated with the sensing needs of the at least one UE.

[0183] Aspect 7: According to any one of Aspects 1 to 6, the method also includes receiving an indication of at least one of the following from each UE in the set of UEs: a position associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0184] Aspect 8: The method according to any one of aspects 1 to 7, wherein at least one UE in the set of UEs is a road side unit.

[0185] Aspect 9: A method according to any one of Aspects 1 to 8, wherein the configuration parameters include an indication of one or more of: an ADC resolution associated with the distributed sensing process, an ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or a transmit power setting associated with the distributed sensing process.

[0186] Aspect 10: A method according to any one of Aspects 1 to 9, wherein the configuration parameters include an indication of at least one of: a joint waveform parameter associated with the distributed sensing process, a joint beamforming parameter associated with the distributed sensing process, or a type of waveform associated with the distributed sensing process.

[0187] Aspect 11: The method according to any one of aspects 1 to 10, the method further comprising allocating resources to each UE in the set of UEs for performing the distributed sensing process, wherein the configuration parameters include an indication of the resources.

[0188] Aspect 12: According to any one of Aspects 1 to 11, the method also includes: receiving an indication of sensing information associated with the distributed sensing process from each UE in the set of UEs; and aggregating the sensing information from each UE in the set of UEs to create an aggregated sensing result.

[0189] Aspect 13: A method of wireless communication performed by a device of a UE, the method comprising: sending feedback information associated with a distributed sensing process to a network node; receiving configuration parameters associated with the distributed sensing process from the network node, wherein the configuration parameters include at least one low-resolution ADC setting; and performing the distributed sensing process based at least in part on the configuration parameters.

[0190] Aspect 14: A method according to Aspect 13, wherein the feedback information includes an indication of at least one of: a sparsity rate associated with a sensing channel, a dynamic range associated with the sensing channel, a coarse target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or one or more interference measurements associated with the sensing channel.

[0191] Aspect 15: According to the method of any one of Aspects 13 to 14, the method also includes sending capability information associated with the distributed sensing process to the network node, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the capability information.

[0192] Aspect 16: A method according to Aspect 15, wherein the capability information indicates at least one of: the number of antennas associated with the UE, the speed associated with an ADC associated with the UE, the number of bits associated with the ADC, the power consumption associated with the ADC, or the field of view associated with the UE.

[0193] Aspect 17: According to any one of Aspects 13 to 16, the method also includes sending information associated with the sensing needs of the UE to the network node, wherein the configuration parameters associated with the distributed sensing process are at least partially based on the information associated with the sensing needs of the UE.

[0194] Aspect 18: The method according to any one of aspects 13 to 17, the method also comprising sending an indication of at least one of the following to the network node: a position associated with the UE, a motion parameter associated with the UE, or an orientation associated with the UE.

[0195] Aspect 19: The method according to any one of Aspects 13 to 18, wherein the UE is a roadside unit.

[0196] Aspect 20: A method according to any one of Aspects 13 to 19, wherein the configuration parameters include an indication of one or more of: an ADC resolution associated with the distributed sensing process, an ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or a transmit power setting associated with the distributed sensing process.

[0197] Aspect 21: A method according to any one of Aspects 13 to 20, wherein the configuration parameters include an indication of at least one of: a joint waveform parameter associated with the distributed sensing process, a joint beamforming parameter associated with the distributed sensing process, or a type of waveform associated with the distributed sensing process.

[0198] Aspect 22: The method according to any one of aspects 13 to 21, the method further comprising receiving, from the network node, an indication of allocated resources for performing the distributed sensing process.

[0199] Aspect 23: The method according to any one of aspects 13 to 22, the method further comprising sending an indication of sensing information associated with the distributed sensing process to the network node.

[0200] Aspect 24: A method according to Aspect 23, wherein the sensing information includes an indication of at least one of: a processed channel parameter associated with the distributed sensing process, an ADC resolution associated with the distributed sensing process, or an ADC speed associated with the distributed sensing process.

[0201] Aspect 25: An apparatus for performing wireless communications at a device, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 1 to 12.

[0202] Aspect 26: A device for wireless communication, the device comprising: a memory; and one or more processors, the one or more processors coupled to the memory, the one or more processors configured to execute the method according to one or more of aspects 1 to 12.

[0203] Aspect 27: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 1 to 12.

[0204] Aspect 28: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 1 to 12.

[0205] Aspect 29: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 1 to 12.

[0206] Aspect 30: An apparatus for performing wireless communications at a device, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 13 to 24.

[0207] Aspect 31: A device for wireless communication, the device comprising: a memory; and one or more processors, the one or more processors coupled to the memory, the one or more processors configured to execute the method according to one or more of aspects 13 to 24.

[0208] Aspect 32: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 13 to 24.

[0209] Aspect 33: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 13 to 24.

[0210] Aspect 34: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 13 to 24.

[0211] The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the aspects to the precise forms disclosed. Modifications and variations may be made in light of the above disclosure or may be acquired from practice of the various aspects.

[0212] As used herein, the term "component" is intended to be broadly interpreted as a combination of hardware and / or hardware and software. Whether referred to as software, firmware, middleware, microcode, hardware description language or other names, "software" should be broadly interpreted as meaning instructions, instruction sets, codes, code segments, program codes, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures and / or functions, etc. As used herein, a "processor" is implemented in a combination of hardware and / or hardware and software. It will be apparent that the systems and / or methods described herein can be implemented by a combination of hardware and / or hardware and software in different forms. The actual dedicated control hardware or software code used to implement these systems and / or methods does not limit various aspects. Therefore, there is no reference to a specific software code herein to describe the operation and behavior of the system and / or method, because those skilled in the art will understand that software and hardware can be designed to implement the system and / or method based at least in part on the description herein.

[0213] As used herein, "satisfying a threshold" may refer to a value being greater than a threshold, greater than or equal to a threshold, less than a threshold, less than or equal to a threshold, equal to a threshold, not equal to a threshold, etc., depending on the context.

[0214] Although the specific combination of features is set forth in the claims and / or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. Many of these features can be combined in a manner not specifically described in the claims and / or not disclosed in the specification. The disclosure of various aspects includes each dependent claim combined with each other claim in the claim set. As used herein, the phrase "at least one of" the list of items refers to any combination of these items (it includes a single member). As an example, "at least one of a, b or c" is intended to cover a, b, c, a+b, a+c, b+c and a+b+c, and any combination with multiple identical elements (e.g., a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c and c+c+c, or any other ordering of a, b and c).

[0215] Any element, action or instruction used herein should not be interpreted as key or necessary, unless clearly described as such. In addition, as used herein, the article "one" is intended to include one or more items, and can be used interchangeably with "one or more". In addition, as used herein, the article "said" is intended to include one or more items connected to the article "said", and can be used interchangeably with "one or more". In addition, as used herein, the terms "set" and "group" are intended to include one or more items, and can be used interchangeably with "one or more". If only want to refer to a project, the phrase "only one" or similar terms will be used. In addition, as used herein, the terms "have", "have", "have" etc. are intended to be open terms, which do not limit the elements they modify (for example, "an element with" A can also have B). In addition, the phrase "based on" is intended to represent "based at least in part on", unless otherwise explicitly stated. Furthermore, as used herein, the term "or" when used in a series is intended to be open-ended and used interchangeably with "and / or" unless expressly stated otherwise (e.g., if used in conjunction with "either" or "only one of").

Claims

1. A network node for wireless communication, the network node comprising: Memory; and one or more processors, based at least in part on the information stored in the memory, the one or more processors configured to: receiving feedback information associated with a distributed sensing process from one or more user equipments (UEs); selecting a set of UEs to be included in the distributed sensing process based at least in part on the feedback information; as well as An indication of configuration parameters associated with the distributed sensing process is sent to the set of UEs.

2. The network node of claim 1 , wherein the one or more processors are further configured to: selecting a low resolution analog-to-digital converter (ADC) setting associated with the distributed sensing process; and An indication of the low resolution ADC setting is sent to the set of UEs.

3. The network node of claim 1 , wherein the feedback information comprises an indication of at least one of: The sparsity rate associated with the sensing channel, the dynamic range associated with the sensing channel, a rough target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or One or more interference measurements associated with the sensing channel.

4. The network node of claim 1 , wherein the one or more processors are further configured to receive capability information associated with the distributed sensing process from each UE in the set of UEs, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

5. The network node of claim 4 , wherein for each UE in the set of UEs, the capability information indicates at least one of: the number of antennas associated with the UE, a speed associated with an analog-to-digital converter (ADC) associated with the UE, The number of bits associated with the ADC, the power consumption associated with the ADC, or A field of view associated with the UE.

6. The network node of claim 1 , wherein the one or more processors are further configured to receive information associated with a sensing need of the at least one UE from the set of UEs, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the information associated with the sensing need of the at least one UE.

7. The network node of claim 1 , wherein the one or more processors are further configured to receive, from each UE in the set of UEs, an indication of at least one of: a location associated with the UE, motion parameters associated with the UE, or An orientation associated with the UE.

8. The network node of claim 1, wherein at least one UE in the set of UEs is a roadside unit.

9. The network node of claim 1 , wherein the configuration parameters include an indication of one or more of: an analog-to-digital converter (ADC) resolution associated with the distributed sensing process, The ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or A transmit power setting associated with the distributed sensing process.

10. The network node of claim 1, wherein the configuration parameter comprises an indication of at least one of: joint waveform parameters associated with the distributed sensing process, joint beamforming parameters associated with the distributed sensing process, or The type of waveform associated with the distributed sensing process.

11. The network node of claim 1 , wherein the one or more processors are further configured to allocate resources to each UE in the set of UEs for performing the distributed sensing process, wherein the configuration parameters include an indication of the resources.

12. The network node of claim 1, wherein the one or more processors are further configured to: receiving, from each UE in the set of UEs, an indication of sensing information associated with the distributed sensing process; and The sensing information from each UE in the set of UEs is aggregated to create an aggregated sensing result.

13. A user equipment (UE) for wireless communication, the user equipment (UE) comprising: Memory; and one or more processors, based at least in part on the information stored in the memory, the one or more processors configured to: sending feedback information associated with the distributed sensing process to a network node; receiving, from the network node, configuration parameters associated with the distributed sensing process, wherein the configuration parameters include at least one low-resolution analog-to-digital converter (ADC) setting; and The distributed sensing process is performed based at least in part on the configuration parameters.

14. The UE according to claim 13, wherein the feedback information comprises an indication of at least one of: The sparsity rate associated with the sensing channel, the dynamic range associated with the sensing channel, a rough target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or One or more interference measurements associated with the sensing channel.

15. The UE of claim 13, wherein the one or more processors are further configured to send capability information associated with the distributed sensing process to the network node, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

16. The UE according to claim 15, wherein the capability information indicates at least one of the following: the number of antennas associated with the UE, a speed associated with an ADC associated with the UE, The number of bits associated with the ADC, the power consumption associated with the ADC, or A field of view associated with the UE.

17. The UE of claim 13, wherein the one or more processors are further configured to send information associated with the sensing needs of the UE to the network node, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the information associated with the sensing needs of the UE.

18. The UE of claim 13, wherein the one or more processors are further configured to send an indication to the network node of at least one of: a location associated with the UE, motion parameters associated with the UE, or An orientation associated with the UE. The UE according to claim 13 , wherein the UE is a roadside unit.

20. The UE of claim 13, wherein the configuration parameter comprises an indication of one or more of: the ADC resolution associated with the distributed sensing process, The ADC speed associated with the distributed sensing process, an automatic gain control setting associated with the distributed sensing process, or A transmit power setting associated with the distributed sensing process.

21. The UE of claim 13, wherein the configuration parameter comprises an indication of at least one of: joint waveform parameters associated with the distributed sensing process, joint beamforming parameters associated with the distributed sensing process, or The type of waveform associated with the distributed sensing process.

22. The UE of claim 13, wherein the one or more processors are further configured to receive, from the network node, an indication of allocated resources for performing the distributed sensing process.

23. The UE of claim 13, wherein the one or more processors are further configured to send an indication of sensing information associated with the distributed sensing process to the network node.

24. The UE of claim 23, wherein the sensing information comprises an indication of at least one of: processed channel parameters associated with the distributed sensing process, the ADC resolution associated with the distributed sensing process, or ADC speed associated with the distributed sensing process.

25. A method of wireless communication performed by an apparatus of a network node, the method comprising: receiving feedback information associated with a distributed sensing process from one or more user equipments (UEs); selecting a set of UEs to be included in the distributed sensing process based at least in part on the feedback information; as well as An indication of configuration parameters associated with the distributed sensing process is sent to the set of UEs.

26. The method according to claim 25, further comprising: selecting a low resolution analog-to-digital converter (ADC) setting associated with the distributed sensing process; as well as An indication of the low resolution ADC setting is sent to the set of UEs.

27. The method of claim 25, wherein the feedback information comprises an indication of at least one of: The sparsity rate associated with the sensing channel, the dynamic range associated with the sensing channel, a rough target distribution associated with the sensing channel, a radar cross section associated with the sensing channel, one or more path loss model parameters associated with the sensing channel, or One or more interference measurements associated with the sensing channel.

28. A method of wireless communication performed by a device of a user equipment (UE), the method comprising: sending feedback information associated with the distributed sensing process to a network node; receiving, from the network node, configuration parameters associated with the distributed sensing process, wherein the configuration parameters include at least one low-resolution analog-to-digital converter (ADC) setting; and The distributed sensing process is performed based at least in part on the configuration parameters.

29. The method of claim 28, further comprising sending capability information associated with the distributed sensing process to the network node, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the capability information.

30. The method of claim 28, further comprising sending information associated with the sensing needs of the UE to the network node, wherein the configuration parameters associated with the distributed sensing process are based at least in part on the information associated with the sensing needs of the UE.

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