Event-based reporting of beam-dependent predictions

Abstract

In one aspect of the present disclosure, a method, computer readable medium, and apparatus are provided. The apparatus may be a user equipment (UE), a base station, or a component thereof. The apparatus may be configured to: obtain prediction information using a function based on a first set of signals received from a base station via a first subset of a set of beams; determining whether at least one condition associated with the prediction information is satisfied based on the prediction information; when the at least one condition is satisfied, generating beam information associated with at least one first beam of the set of beams based on a second set of signals received from the base station via a second subset of the set of beams; and transmitting a report including the beam information to the base station.

Description

[0001] This application claims priority to U.S. Patent Application No. 18 / 308,563, filed on April 27, 2023, and U.S. Provisional Application No. 63 / 363,943, filed on April 29, 2022, the entire contents of which are incorporated herein by reference. U.S. Patent Application No. 18 / 308,563, filed on April 27, 2023, claims the benefit of U.S. Provisional Application No. 63 / 363,943, filed on April 29, 2022. Background Art

[0002] The present disclosure relates generally to communication systems, and more particularly to reporting a prediction associated with at least one beam of a set of beams based on detection of an event.

[0003] Wireless communication systems are widely deployed to provide a variety of telecommunication services, such as telephony, video, data, messaging, and broadcast. Typical wireless communication systems may employ multiple access technologies capable of supporting communication with multiple users by sharing available system resources. Examples of such multiple access technologies include code division multiple access (CDMA) 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, and time division synchronous code division multiple access (TD-SCDMA) systems.

[0004] These multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different wireless devices to communicate at city, country, region, and even global levels. An example telecommunication standard is 5G New Radio (NR). 5G NR is part of the continuous mobile broadband evolution promulgated by the Third Generation Partnership Project (3GPP) to meet new requirements associated with latency, reliability, security, scalability (e.g., with the Internet of Things (IoT)) and other requirements. 5GNR includes services associated with enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable low latency communication (URLLC). Certain aspects of 5G NR may be based on 4G Long Term Evolution (LTE) standards. It is necessary to further improve 5G NR technology. In addition, these improvements may also be applicable to other multiple access technologies and telecommunication standards that employ these technologies. Summary of the invention

[0005] A simplified summary of one or more aspects is presented below to provide a basic understanding of these aspects. This summary is not an extensive overview of all contemplated aspects, and is neither intended to identify key or important elements of all aspects, nor to describe the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to a more detailed description presented later.

[0006] In one aspect of the present disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE) or a component thereof. The apparatus may be configured to: obtain prediction information using a function based on a first signal set received from a base station via a first subset of a beam set; determine whether at least one condition associated with the prediction information is satisfied based on the prediction information; when the at least one condition is satisfied, generate beam information associated with at least one first beam of the beam set based on a second signal set received from the base station via a second subset of the beam set; and send a report including the beam information to the base station.

[0007] In another aspect of the present disclosure, another method, another computer-readable medium, and another device are provided. The other device may be a base station or a component thereof. The other device may be configured to: determine whether at least one condition associated with the prediction information is satisfied based on the prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of a beam set; based on determining that the at least one condition is satisfied, send a second signal set via at least a second subset of the beam set; receive a report from a UE including beam information associated with at least one first beam of the beam set, the beam information is based on the second signal set sent via at least the second subset of the beam set; and schedule communication with the UE based on the beam information.

[0008] In another aspect of the present disclosure, a first network node includes a memory and at least one processor operatively coupled to the memory. The at least one processor is configured to: obtain prediction information using a function based on a first signal set received from a second network node via a first subset of a beam set; determine whether at least one condition associated with the prediction information is satisfied based on the prediction information; generate beam information associated with at least one first beam of the beam set based on a second signal set received from the second network node via a second subset of the beam set when the at least one condition is satisfied; and send a report including the beam information to the second network node.

[0009] In another aspect of the present disclosure, a first network node includes a memory and at least one processor operatively coupled to the memory. The at least one processor is configured to: determine whether at least one condition associated with the prediction information is satisfied based on prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of a set of beams; based on determining that the at least one condition is satisfied, send a second signal set via at least a second subset of the set of beams; receive a report including beam information associated with at least one first beam of the set of beams from a second network node, the beam information being based on the second signal set sent via the at least second subset of the set of beams; and schedule communication with the second network node based on the beam information.

[0010] To achieve the foregoing and related ends, one or more aspects include the features fully described below and particularly pointed out in the claims. The following description and the accompanying drawings set forth in detail some illustrative features of one or more aspects. However, these features are merely indicative of some of the various ways in which the principles of the various aspects may be employed, and this specification is intended to include all such aspects and their equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 is a diagram illustrating an example of a wireless communication system and an access network.

[0012] Figure 2A is a diagram illustrating an example of a first frame according to various aspects of the present disclosure.

[0013] Figure 2B is a diagram illustrating an example of downlink channels within a subframe according to various aspects of the present disclosure.

[0014] Figure 2C is a diagram illustrating an example of a second frame according to various aspects of the present disclosure.

[0015] Figure 2D is a diagram illustrating an example of uplink channels within a subframe according to various aspects of the present disclosure.

[0016] Figure 3 is a diagram illustrating an example of a base station and a user equipment (UE) in an access network.

[0017] Figure 4 is a diagram illustrating an example of a prediction function.

[0018] Figure 5 is a diagram illustrating an example of a prediction function configured to predict measurements of a beam.

[0019] Fig. 6A is a diagram illustrating an example of a UE communicating with a base station having a prediction function.

[0020] Figure 6B is a diagram illustrating an example of a base station having a prediction function communicating with a UE.

[0021] Figure 6C is a diagram illustrating an example of a base station having a prediction function communicating with a UE having the prediction function.

[0022] Figure 7 is a diagram illustrating an example of a prediction function configured to receive at least one measurement as input and provide a predicted measurement and a confidence score for the predicted measurement as output.

[0023] Figure 8 is a call flow diagram illustrating an example of a UE configured to determine whether at least one condition associated with prediction information is satisfied based on prediction information.

[0024] Fig. 9 is a flow chart illustrating an example of a method of performing wireless communications at a UE.

[0025] Fig.10 is a flow chart illustrating an example of a method of performing wireless communications at a base station. DETAILED DESCRIPTION

[0026] The detailed description set forth below in conjunction with the accompanying drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. In order to provide a thorough understanding of the various concepts, the specific embodiments include specific details. However, the concepts and related aspects described in this disclosure may be implemented in the absence of some or all of such specific details. In some instances, well-known structures, components, etc. are shown in block diagram form to avoid obscuring such concepts.

[0027] Several aspects of telecommunication systems will now be presented with reference to various apparatus and methods. These apparatus and methods will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, components, circuits, processes, algorithms, etc. (collectively referred to as "elements"). These elements may be implemented using electronic hardware, computer software, or any combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.

[0028] As an example, an element, or any part of an element, or any combination of elements may be implemented as a "processing system", which includes one or more processors. Examples of processors include microprocessors, microcontrollers, graphics processing units (GPUs), central processing units (CPUs), application processors, digital signal processors (DSPs), reduced instruction set computing (RISC) processors, systems on chip (SoCs), baseband processors, field programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gated logic components, discrete hardware circuits, and other suitable hardware configured to perform various functionalities described throughout the present disclosure. One or more processors in a processing system may execute software. Software should be broadly interpreted as meaning instructions, instruction sets, computer executable codes, code segments, program codes, programs, subroutines, software components, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether it is described in software, firmware, middleware, microcode, hardware description languages, or other terms.

[0029] Therefore, in one or more example embodiments, the described functions can be implemented with hardware, software or any combination thereof. If implemented in software, each function can be stored or encoded on a computer-readable medium as one or more instructions or computer executable code. Computer-readable media include computer storage media. Storage media can be any available medium that can be accessed by a computer. As an example and not limitation, such computer-readable media can include a random access memory (RAM), a read-only memory (ROM), an electrically erasable programmable ROM (EEPROM), an optical disk storage device, a magnetic disk storage device, other magnetic storage devices, a combination of computer-readable media of the above type, or any other medium that can be used to store instructions or data structure forms of computer executable code that can be accessed by a computer.

[0030] As described herein, a node (which may be referred to as a node, a network node, a network entity, or a wireless node) may include, may be, or may be included in (e.g., as a component of) a base station (e.g., any base station described herein), a user equipment (UE) (e.g., any UE described herein), a network controller, a device, an apparatus, a computing system, an integrated access and backhaul (IAB) node, a distributed unit (DU), a central unit (CU), a remote unit (RU), and / or another processing entity configured to perform any of the techniques described herein. For example, the network node may be a UE. As another example, the network node may be a base station or a network entity. As another example, a first network node may be configured to communicate with a second network node or a third network node. In one aspect of this example, the first network node may be a UE, the second network node may be a base station, and the third network node may be a UE. In another aspect of this example, the first network node may be a UE, the second network node may be a base station, and the third network node may be a base station. In further aspects of this example, the first network node, the second network node, and the third network node may be different relative to these examples. Similarly, references to UE, base station, device, equipment, computing system, etc. may include disclosure of UE, base station, device, equipment, computing system, etc. as network nodes. For example, a disclosure that a UE is configured to receive information from a base station also discloses that a first network node is configured to receive information from a second network node. Consistent with the present disclosure, once a specific example is expanded according to the present disclosure (e.g., a UE is configured to receive information from a base station also discloses that a first network node is configured to receive information from a second network node), a broader example of a narrower example may be interpreted in reverse, but in a broad, open-ended manner. In the above example that a UE is configured to receive information from a base station, it is also disclosed that a first network node is configured to receive information from a second network node, and the first network node may refer to a first UE, a first base station, a first device, a first device, a first computing system, a first group of one or more components, a first processing entity, etc. configured to receive information; and the second network node may refer to a second UE, a second base station, a second device, a second device, a second computing system, a second group of one or more components, a second processing entity, etc.

[0031] In some radio access networks (RANs), a base station may configure at least one beam of a beam set for communicating with a UE. As part of such configuration, the UE may obtain a measurement set associated with the beam set, for example, based on a reference or pilot signal sent by the base station via each beam in the beam set. For example, the UE may measure reference signal received power (RSRP), reference signal received quality (RSRQ), signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio (SINR), and / or other similar metrics. The UE may report a subset of the measurement set to the base station, and the base station may configure the beams through which to communicate with the UE based on the reported measurements.

[0032] In some instances, the base station and the UE may be able to rely on the predicted measurement information and skip one or more instances of reporting the actual measurement information. However, when the predicted measurement information is known to be noisy, the base station and the UE may avoid using the predicted measurement information, and instead, an additional reference signal set may be sent by the base station, and corresponding reports based on the additional reference signal set may be scheduled for beams about which the corresponding conditions are unreliable or not known.

[0033] As the capabilities of UEs have expanded, such as through increased computing power (e.g., graphics processing units (GPUs), advances in the field of machine learning, etc.), the information provided by the UE in the beam report may be more robust, and some of the processing overhead associated with beam selection may be offloaded from the base station to the UE. Specifically, the UE may be configured to predict measurements associated with one or more beams based on historical measurements obtained by receiving the one or more beams.

[0034] The UE may be configured with a beam prediction function, such as a neural network function (NNF) (e.g., a machine learning function, an artificial intelligence (AI) function, and / or a deep learning function), a minimum mean square error (MMSE) function, etc. The beam prediction function may map an input set to an output set, for example, based on a set of weighted algorithms or activation functions, based on minimization of a mean square error (MSE) of fitted values ​​of a dependent variable, based on estimation using a quadratic loss function, etc. Some parameters (e.g., weights) may be adjustable so that the beam prediction function may be tuned or improved when a new data set is provided to the beam prediction function. Some other examples of beam prediction functions include machine learning algorithms, convolutional neural networks (CNNs), recurrent neural networks (RNNs), deep learning algorithms, long short-term memory (LSTMs), etc.

[0035] In some examples, historical measurements (e.g., "actual" measurements or "physical" measurements) may be provided as input to a beam prediction function, and in response, a set of predicted measurements may be provided as output. The UE may be configured to report a subset of the set of predicted measurements to the base station, which may improve link quality and / or reduce instances of link failures relative to historical measurements. Predicted measurements may provide some improvements over historical measurements because the predicted measurements may be related to the time at which the base station configured the beam for communication with the UE, however the delays inherent in using historical measurements may render those historical measurements out of date.

[0036] In some further examples, the base station may be similarly configured with a beam prediction function. And the prediction functions at the base station and the UE may operate in substantially the same manner, such as by providing the same output given the same set of inputs, for example.

[0037] The prediction function can be configured to output a prediction measure and further output a confidence score (e.g., standard deviation, variance, probability, likelihood, etc.). The confidence score can indicate the reliability of the corresponding prediction measure. For example, a larger standard deviation may mean a less reliable average prediction measure.

[0038] The present disclosure describes various techniques and methods for beam reporting that can reduce or prevent the use of unreliable prediction measurements through event-based beam reporting. Specifically, a prediction function that supports outputting prediction measurements and confidence scores can be utilized so that, for example, when the reliability of a link is not satisfactory or is predicted to be so, an additional reference signal set and corresponding CSI / CA beam reporting are triggered.

[0039] The UE may be configured to report to the base station a prediction that may be useful when configuring communications with the UE based on at least one condition (e.g., an event or trigger), such as when a radio link failure is expected or when another beam is predicted to provide better channel quality than the current serving beam. To this end, the UE may be configured to send a beam report with prediction information based on satisfying the event. In other words, the UE may be configured by the base station for event-based reporting of prediction information, and when the UE detects a particular event, the UE may report prediction information that may be used by the base station to configure communications with the UE.

[0040] Figure 11 is a diagram illustrating an example of a wireless communication system and access network 100. The wireless communication system (which is also referred to as a wireless wide area network (WWAN)) includes a base station 102, a UE 104, an evolved packet core (EPC) 160, and another core network 190 (e.g., a 5G core (5GC)). The base station 102 may include a macro cell (a high-power cellular base station) and / or a small cell (a low-power cellular base station). A macro cell includes a base station. A small cell includes a femto cell, a pico cell, and a micro cell.

[0041] The base station 102 configured for 4G Long Term Evolution (LTE) (collectively referred to as Evolved Universal Mobile Telecommunications System (UMTS) Terrestrial Radio Access Network (E-UTRAN)) can interface with the EPC 160 via a first backhaul link 132 (e.g., an S1 interface). The base station 102 configured for 5G New Radio (NR) (collectively referred to as Next Generation RAN (NG-RAN)) can interface with the core network 190 via a second backhaul link 134. Among other functions, the base station 102 can also perform one or more of the following functions: transmission of user data, radio channel encryption and decryption, integrity protection, header compression, mobility control functions (e.g., handover, dual connectivity), inter-cell interference coordination, connection establishment and release, load balancing, distribution of non-access stratum (NAS) messages, NAS node selection, synchronization, RAN sharing, Multimedia Broadcast Multicast Service (MBMS), subscriber and equipment tracking, RAN Information Management (RIM), paging, positioning, and delivery of warning messages.

[0042] In some aspects, the base stations 102 may communicate with each other directly or indirectly (e.g., via the EPC 160 or the core network 190) via a third backhaul link 136 (e.g., an X2 interface). The first backhaul link 132, the second backhaul link 134, and the third backhaul link 136 may be wired, wireless, or some combination thereof. At least some of the base stations 102 may be configured for IAB. Accordingly, such base stations may communicate wirelessly with other base stations (also configured for IAB).

[0043] At least some base stations 102 configured for IAB may have a split architecture that includes at least one of a CU, a DU, a RU, a radio unit, and / or a remote radio head (RRH), some or all of which may be co-located or distributed and / or may communicate with each other. In some configurations of such a split architecture, the CU may implement some or all functionality of a radio resource control (RRC) layer, and the DU may implement some or all functionality of a radio link control (RLC) layer.

[0044] Illustratively, some base stations 102 configured for IAB may communicate with the DU of an IAB donor node or other parent IAB node (e.g., base station) through the corresponding CU, and further, may communicate with child IAB nodes (e.g., other base stations) and / or one or more UEs 104 through the corresponding DU. One or more base stations 102 configured for IAB may be an IAB donor connected to at least one of the EPC 160 and / or the core network 190 through the CU. Through such a link to the EPC 160 and / or the core network 190, the base station 102 operating as an IAB donor may provide a link to the EPC 160 and / or the core network 190 to one or more UEs and / or other IAB nodes, which may be directly or indirectly connected to the IAB donor (e.g., separated from the IAB donor by more than one hop). In the context of communicating with the EPC 160 or the core network 190, both the UE and the IAB node may communicate with the DU of the IAB donor. In some additional aspects, one or more base stations 102 may be configured with connectivity in an open RAN (ORAN) and / or a virtualized RAN (VRAN), which may be achieved through at least one corresponding CU, DU, RU, RRH and / or remote unit.

[0045] Base station 102 can communicate wirelessly with UE 104. Examples of UE 104 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, tablets, smart devices, wearable devices, vehicles, electric meters, gas pumps, large or small kitchen appliances, healthcare equipment, implants, sensors / actuators, displays, or any other similarly functional devices. Some of UE 104 may be referred to as IoT devices (e.g., parking meters, gas pumps, toasters, vehicles, heart monitors, etc.). UE 104 may also be referred to as a station, a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable terminology.

[0046] Each base station 102 may provide communication coverage for a corresponding geographic coverage area 110 (which may also be referred to as a "cell"). Potentially, two or more geographic coverage areas 110 may at least partially overlap with each other, or one of the geographic coverage areas 110 may contain another of the geographic coverage areas. For example, a small cell 102' may have a coverage area 110' that overlaps with the coverage area 110 of one or more macro base stations 102. A network that includes both small cells and macro cells may be referred to as a heterogeneous network. A heterogeneous network may also include a home evolved Node B (eNB) (HeNB), which may provide services to a restricted group referred to as a closed subscriber group (CSG).

[0047] The communication link 120 between the base station 102 and the UE 104 may include uplink (also known as reverse link) transmission from the UE 104 to the base station 102 and / or downlink (also known as forward link) transmission from the base station 102 to the UE 104. The communication link 120 may use multiple-input multiple-output (MIMO) antenna technology, including spatial multiplexing, beamforming and / or transmit diversity. The wireless link or radio link may be on one or more carriers or component carriers (CCs). The base station 102 and / or the UE 104 may use a spectrum of up to Y MHz (e.g., Y may be equal to or approximately equal to 5, 10, 15, 20, 100, 400, etc.) bandwidth per carrier allocated in a carrier aggregation of up to Yx megahertz (MHz) (e.g., x CCs) for transmission in each direction. These CCs may or may not be adjacent to each other. The allocation of CCs may be asymmetric with respect to downlink and uplink (e.g., more or fewer CCs may be allocated to downlinks than to uplinks).

[0048] A CC may include a primary CC and one or more secondary CCs. A primary CC may be referred to as a primary cell (PCell), and each secondary CC may be referred to as a secondary cell (SCell). When the UE is known to both a base station at the access network level and at least one core network entity (e.g., AMF and / or MME) at the core network level, and the UE may be configured to receive downlink control information in the access network (e.g., the UE may be in an RRC connected state), the PCell may also be referred to as a "serving cell". In some instances where carrier aggregation is configured for a UE, each of the PCell and one or more SCells may be a serving cell.

[0049] Some UEs 104 may communicate with each other using a device-to-device (D2D) communication link 158. The D2D communication link 158 may use downlink / uplink WWAN spectrum. The D2D communication link 158 may use one or more sidelink channels, such as a physical sidelink broadcast channel (PSBCH), a physical sidelink discovery channel (PSDCH), a physical sidelink shared channel (PSSCH), and a physical sidelink control channel (PSCCH). The D2D communication may be through a variety of wireless D2D communication systems, such as, for example, WiMedia, Bluetooth, ZigBee, Wi-Fi based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard, LTE, or NR.

[0050] The wireless communication system may also include a Wi-Fi access point (AP) 150 that communicates with a Wi-Fi station (STA) 152 via a communication link 154 in, for example, a 5 gigahertz (GHz) unlicensed spectrum. When communicating in the unlicensed spectrum, the STA 152 / AP 150 may perform a clear channel assessment (CCA) to determine whether a channel is available prior to communication.

[0051] The small cell 102' may operate in a licensed and / or unlicensed spectrum. When operating in an unlicensed spectrum, the small cell 102' may employ NR and use the same unlicensed spectrum (e.g., 5 GHz, etc.) as used by the Wi-Fi AP 150. The small cell 102' employing NR in the unlicensed spectrum may improve the coverage of the access network and / or increase the capacity of the access network.

[0052] The electromagnetic spectrum is typically subdivided into various categories, bands, channels, etc. based on frequency / wavelength. 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). Frequencies between FR1 and FR2 are typically referred to as mid-band frequencies. Although a portion of FR1 is greater than 6 GHz, FR1 is typically (interchangeably) referred to as the “sub-6 GHz” band in various documents and articles. Similar naming issues sometimes arise regarding FR2, although unlike the extremely high frequency (EHF) band (30 GHz–300 GHz) identified by the International Telecommunication Union (ITU) as the “millimeter wave” (or “mmWave” or simply “mmW”) band, FR2 is typically (interchangeably) referred to as “millimeter wave” in various documents and articles.

[0053] In view of the above aspects, unless otherwise specifically stated, for the scope used herein, the terms "below 6 GHz", "below 7 GHz", etc. can broadly represent frequencies that can be less than 6 GHz, frequencies that can be less than 7 GHz, frequencies that can be within FR1, and / or frequencies that can include mid-band frequencies. In addition, unless otherwise specifically stated, for the scope used herein, the terms "millimeter wave" and other similar references can broadly represent frequencies that can include mid-band frequencies, frequencies that can be within FR2, and / or frequencies that can be within the EHF band.

[0054] The base station 102 (whether a small cell 102' or a large cell (e.g., a macro base station)) may include and / or be referred to as an eNB, a gNodeB (gNB), or another type of base station. Some base stations 180 (such as gNBs) may operate in traditional sub-6 GHz spectrum, mmW frequencies, and / or near mmW frequencies to communicate with UEs 104. When such base stations 180 (e.g., gNBs) operate at mmW or near mmW frequencies, the base stations 180 may be referred to as mmW base stations. The (mmW) base stations 180 may utilize beamforming 186 with the UE 104 to compensate for path loss and short distances. The base stations 180 and the UEs 104 may each include multiple antennas (such as antenna elements, antenna panels, and / or antenna arrays) to facilitate beamforming.

[0055] The base station 180 may transmit beamformed signals to the UE 104 in one or more transmit directions 182. The UE 104 may receive beamformed signals from the base station 180 in one or more receive directions 184. The UE 104 may also transmit beamformed signals to the base station 180 in one or more transmit directions. The base station 180 may receive beamformed signals from the UE 104 in one or more receive directions. One or both of the base station 180 and / or the UE 104 may perform beam training to determine the best receive and / or transmit direction for one or both of the base station 180 and / or the UE 104. The transmit direction and receive direction of the base station 180 may be the same or different. The transmit direction and receive direction of the UE 104 may be the same or different.

[0056] In various aspects, one or more of base stations 102 / 180 may include and / or be referred to as a gNB, a Node B, an eNB, an access point, a transceiver base station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a transmit receive point (TRP), or some other suitable terminology.

[0057] In some aspects, one or more of the base stations 102 / 180 may be connected to the EPC 160 and may provide one or more of the UEs 104 with a corresponding access point to the EPC 160. The EPC 160 may include a mobility management entity (MME) 162, other MMEs 164, a serving gateway 166, an MBMS gateway 168, a broadcast multicast service center (BM-SC) 170, and a packet data network (PDN) gateway 172. The MME 162 may communicate with a home subscriber server (HSS) 174. The MME 162 is a control node that handles signaling between the UE 104 and the EPC 160. Typically, the MME 162 provides bearer and connection management. All user Internet Protocol (IP) packets are delivered through the serving gateway 166, which is connected to the PDN gateway 172. The PDN gateway 172 provides UE IP address allocation and other functions. The PDN gateway 172 and BM-SC 170 are connected to IP services 176. IP services 176 may include the Internet, an intranet, an IP multimedia subsystem (IMS), a packet switched (PS) streaming service, and / or other IP services. The BM-SC 170 may provide functionality for MBMS user service configuration and delivery. The BM-SC 170 may serve as an entry point for content provider MBMS transmissions, may be used to authorize and initiate MBMS bearer services in a public land mobile network (PLMN), and may be used to schedule MBMS transmissions. The MBMS gateway 168 may be used to allocate MBMS services to base stations 102 belonging to a multicast broadcast single frequency network (MBSFN) area of ​​a broadcast specific service, and may be responsible for session management (start / stop) and for collecting eMBMS-related billing information.

[0058] In some other aspects, one or more of the base stations 102 / 180 may be connected to the core network 190 and may provide corresponding access points to the core network 190 for one or more of the UEs 104. The core network 190 may include an access and mobility management function (AMF) 192, other AMFs 193, a session management function (SMF) 194, and a user plane function (UPF) 195. The AMF 192 may communicate with a unified data management (UDM) 196. The AMF 192 is a control node that handles signaling between the UE 104 and the core network 190. Typically, the AMF 192 provides quality of service (QoS) flows and session management. All user IP packets are delivered through the UPF 195. The UPF 195 provides UE IP address allocation and other functions. The UPF 195 is connected to an IP service 197. The IP service 197 may include the Internet, an intranet, an IMS, a PS streaming service, and / or other IP services.

[0059] In certain aspects, UE 104 may be configured to: obtain prediction information using a function based on a first set of signals received from base station 102 / 180 via a first subset of the beam set; determine whether at least one condition associated with the prediction information is satisfied based on the prediction information (198); when at least one condition is satisfied, generate beam information associated with at least one first beam of the beam set based on a second set of signals received from base station 102 / 180 via a second subset of the beam set, and send a report including the beam information to base station 102 / 180.

[0060] Correspondingly, the base station 102 / 180 can be configured to determine whether at least one condition associated with the prediction information is met based on the prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of the beam set; based on determining that at least one condition is met, send a second signal set (198) via at least a second subset of the beam set; receive a report from the UE 104 including beam information associated with at least one first beam of the beam set, the beam information being based on the second signal set sent via at least a second subset of the beam set; and schedule communication with the UE 104 based on the beam information.

[0061] Although the present disclosure may focus on 5G NR, the concepts and aspects described herein may be applicable to other similar areas such as LTE, Advanced LTE (LTE-A), Code Division Multiple Access (CDMA), Global System for Mobile Communications (GSM), and / or other wireless / radio access technologies.

[0062] Figure 2A is a diagram illustrating an example of a first subframe 200 within a 5G NR frame structure. Figure 2B is a diagram illustrating an example of a downlink channel within a 5G NR subframe 230. Figure 2C is a diagram illustrating an example of a second subframe 250 within a 5G NR frame structure. Figure 2D is a diagram illustrating an example of an uplink channel within a 5G NR subframe 280. The 5G NR frame structure can be frequency division duplex (FDD), where for a particular set of subcarriers (carrier system bandwidth), the subframes within the subcarrier set are dedicated to either the downlink or the uplink; or can be time division duplex (TDD), where for a particular set of subcarriers (carrier system bandwidth), the subframes within the subcarrier set are dedicated to both the downlink and the uplink. Figure 2A , Figure 2CIn the example provided, the 5G NR frame structure is assumed to be TDD, where subframe 4 is configured with slot format 28 (mostly downlink) and subframe 3 is configured with slot format 34 (mostly uplink), where D is downlink, U is uplink, and F is used flexibly between downlink / uplink. Although subframes 3 and 4 are shown with slot formats 34 and 28, respectively, any particular subframe can be configured with any of the various available slot formats 0-61. Slot formats 0 and 1 are full downlink and full uplink, respectively. Other slot formats 2-61 include a mix of downlink, uplink and flexible symbols. The UE is configured with a slot format (dynamically configured by downlink control information (DCI) or semi-statically / statically configured by RRC signaling) through the received slot format indicator (SFI). Note that the following description also applies to the 5GNR frame structure as TDD.

[0063] Other wireless communication technologies may have different frame structures and / or different channels. For example, a 10 millisecond (ms) frame may be divided into 10 equally sized subframes (1 ms). Each subframe may include one or more time slots. A subframe may also include a microslot, which may include 7, 4, or 2 symbols. Each time slot may contain 7 or 14 symbols, depending on the time slot configuration. For time slot configuration 0, each time slot may include 14 symbols, and for time slot configuration 1, each time slot may include 7 symbols. The symbols on the downlink may be cyclic prefix (CP) orthogonal frequency division multiplexing (OFDM) (CP-OFDM) symbols. The symbols on the uplink may be CP-OFDM symbols (for high throughput scenarios) or discrete Fourier transform (DFT) spread OFDM (DFT-s-OFDM) symbols (also known as single carrier frequency division multiple access (SC-FDMA) symbols) (for power-limited scenarios; limited to single stream transmission). The number of time slots in a subframe is based on the time slot configuration and parameter set. For slot configuration 0, different parameter sets μ0 to 4 allow 1, 2, 4, 8, and 16 slots per subframe, respectively. For slot configuration 1, different parameter sets 0 to 2 allow 2, 4, and 8 slots per subframe, respectively. Thus, for slot configuration 0 and parameter set μ, there are 14 symbols per slot and 2 per subframe. μ time slots. The subcarrier spacing and symbol length / duration are functions of the parameter set. The subcarrier spacing can be equal to 2 μ *15 kilohertz (kHz), where μ is parameter set 0 to 4. Therefore, the subcarrier spacing for parameter set μ=0 is 15 kHz, and the subcarrier spacing for parameter set μ=4 is 240 kHz. The symbol length / duration is inversely related to the subcarrier spacing. FIG. 2A to FIG. 2DAn example of a slot configuration 0 with 14 symbols per slot and a parameter set μ=2 with 4 slots per subframe is provided. The slot duration is 0.25 ms, the subcarrier spacing is 60 kHz, and the symbol duration is approximately 16.67 microseconds (μs). Within a frame set, there may be one or more different bandwidth parts (BWPs) that are frequency-division multiplexed (see Figure 2B ). Each BWP can have a specific set of parameters.

[0064] A resource grid may be used to represent the frame structure. Each slot includes a resource block (RB) (also called a physical RB (PRB)) extending over 12 consecutive subcarriers. The resource grid is divided into a number of resource elements (REs). The number of bits carried by each RE depends on the modulation scheme.

[0065] like Figure 2A As illustrated, some REs carry at least one pilot signal for the UE, such as a reference signal (RS). Broadly speaking, RSs may be used for beam training and management, tracking and positioning, channel estimation, and / or other such purposes. In some configurations, the RSs may include at least one demodulation RS (DM-RS) (indicated as R for a particular configuration) for channel estimation at the UE. x , where 100x is the port number, but other DM-RS configurations are possible) and / or at least one channel state information (CSI) RS (CSI-RS). In some other configurations, the RS may additionally or alternatively include at least one beam measurement (or management) RS (BRS), at least one beam refinement RS (BRRS), and / or at least one phase tracking RS (PT-RS).

[0066] Figure 2BExamples of various downlink channels within a subframe of a frame are illustrated. A physical downlink control channel (PDCCH) carries DCI within one or more control channel elements (CCEs), each CCE including nine RE groups (REGs), each REG including four consecutive REs in an OFDM symbol. A PDCCH within a BWP may be referred to as a control resource set (CORESET). Additional BWPs may be located at higher and / or lower frequencies on the channel bandwidth. A primary synchronization signal (PSS) may be within symbol 2 of a particular subframe of a frame. PSS is used by UE 104 to determine subframe / symbol timing and physical layer identification. A secondary synchronization signal (SSS) may be within symbol 4 of a particular subframe of a frame. SSS is used by UE to determine physical layer cell identification group number and radio frame timing. Based on the physical layer identification and the physical layer cell identification group number, the UE may determine a physical cell identifier (PCI). Based on the PCI, the UE may determine the position of the aforementioned DM-RS. The physical broadcast channel (PBCH) carrying the master information block (MIB) can be logically grouped with the PSS and SSS to form a synchronization signal (SS) / PBCH block (also referred to as an SS block (SSB)). The MIB provides the number of RBs in the system bandwidth and the system frame number (SFN). The physical downlink shared channel (PDSCH) carries user data, broadcast system information not sent over the PBCH (such as the system information block (SIB)), and paging messages.

[0067] like Figure 2C As illustrated, some of the REs carry DM-RS (indicated as R for a particular configuration, but other DM-RS configurations are possible) for channel estimation at the base station. The UE may send DM-RS for a physical uplink control channel (PUCCH) and DM-RS for a physical uplink shared channel (PUSCH). The PUSCH DM-RS may be sent in the first or first two symbols of the PUSCH. Depending on whether a short PUCCH or a long PUCCH is sent and depending on the specific PUCCH format used, the PUCCH DM-RS may be sent in different configurations. The UE may send a sounding reference signal (SRS). The SRS may be sent in the last symbol of a subframe. The SRS may have a comb structure, and the UE may send the SRS on one of the combs. The SRS may be used by the base station for channel quality estimation to enable frequency-dependent scheduling on the uplink.

[0068] Figure 2DExamples of various uplink channels within a subframe of a frame are illustrated. The PUCCH may be located at a position as indicated in one configuration. The PUCCH carries uplink control information (UCI), which may include a scheduling request (SR), a channel quality indicator (CQI), a precoding matrix indicator (PMI), a rank indicator (RI), and hybrid automatic repeat request (HARQ) acknowledgement (ACK) / negative acknowledgement (NACK) feedback. The PUSCH carries data and may be used to carry, among other things, a buffer status report (BSR), a power headroom report (PHR), and / or UCI.

[0069] Figure 3 3 is a block diagram of a base station 310 in an access network 300 communicating with a UE 350. In the downlink, IP packets from the EPC 160 may be provided to a controller / processor 375. The controller / processor 375 implements layer 2 (L2) and layer 3 (L3) functionality. The L3 includes an RRC layer, and the L2 includes a service data adaptation protocol (SDAP) layer, a packet data convergence protocol (PDCP) layer, an RLC layer, and a medium access control (MAC) layer. The controller / processor 375 provides RRC layer functionality associated with broadcasting of system information (e.g., MIB, SIB), RRC connection control (e.g., RRC connection paging, RRC connection establishment, RRC connection modification, and RRC connection release), inter-radio access technology (RAT) mobility, and measurement configuration for UE measurement reporting; PDCP layer functionality associated with header compression / decompression, security (encryption, decryption, integrity protection, integrity verification), and handover support functions; RLC layer functionality associated with transmission of upper layer packet data units (PDUs), error correction through ARQ, concatenation, segmentation and reassembly of RLC service data units (SDUs), re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto transport blocks (TBs), demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through HARQ, priority handling, and logical channel prioritization.

[0070] The transmit (TX) processor 316 and receive (RX) processor 370 implement layer 1 (L1) functionality associated with various signal processing functions. The L1, including the physical (PHY) layer, may include error detection of transport channels, forward error correction (FEC) coding / decoding of transport channels, interleaving, rate matching, mapping onto physical channels, modulation / demodulation of physical channels, and MIMO antenna processing. The TX processor 316 handles mapping to signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-order phase shift keying (M-PSK), M-order quadrature amplitude modulation (M-QAM)). The coded and modulated symbols may then be separated into parallel streams. Each stream may then be mapped to an OFDM subcarrier, multiplexed with a reference signal (e.g., a pilot) in the time and / or frequency domain, and then combined using an inverse fast Fourier transform (IFFT) to produce a physical channel carrying a time domain OFDM symbol stream. The OFDM stream is spatially pre-coded to generate multiple spatial streams. Channel estimates from a channel estimator 374 may be used to determine coding and modulation schemes, as well as for spatial processing. Channel estimates may be derived based on reference signals and / or channel condition feedback sent by the UE 350. Each spatial stream may then be provided to a different antenna 320 via a separate transmitter 318TX. Each transmitter 318TX may modulate a radio frequency (RF) carrier for transmission using a corresponding spatial stream.

[0071] At the UE 350, each receiver 354RX receives a signal through at least one corresponding antenna 352. Each receiver 354RX recovers the information modulated onto the RF carrier and provides the information to a receive (RX) processor 356. The TX processor 368 and the RX processor 356 implement L1 functionality associated with various signal processing functions. The RX processor 356 can perform spatial processing on the information to recover any spatial stream destined for the UE 350. If multiple spatial streams are destined for the UE 350, they can be combined into a single OFDM symbol stream by the RX processor 356. The RX processor 356 then converts the OFDM symbol stream from the time domain to the frequency domain using a fast Fourier transform (FFT). The frequency domain signal includes a separate OFDM symbol stream for each subcarrier of the OFDM signal. The symbols on each subcarrier and the reference signal are recovered and demodulated by determining the signal constellation point most likely to be sent by the base station 310. These soft decisions can be based on channel estimates calculated by the channel estimator 358. The soft decisions are then decoded and deinterleaved to recover the data and control signals originally sent on the physical channel by the base station 310. The data and control signals are then provided to a controller / processor 359, which implements L3 and L2 functionality.

[0072] The controller / processor 359 may be associated with a memory 360 that stores program codes and data. The memory 360 may be referred to as a computer readable medium. In the uplink, the controller / processor 359 provides demultiplexing between transport channels and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover IP packets from the EPC 160. The controller / processor 359 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operations.

[0073] Similar to the functionality described in conjunction with downlink transmissions performed by the base station 310, the controller / processor 359 provides RRC layer functionality associated with system information (e.g., MIB, SIB) acquisition, RRC connection, and measurement reporting; PDCP layer functionality associated with header compression / decompression and security (encryption, decryption, integrity protection, integrity verification); RLC layer functionality associated with transmission of upper layer PDUs, error correction through ARQ, concatenation, segmentation and reassembly of RLC SDUs, resegmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto TBs, demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through HARQ, priority handling, and logical channel prioritization.

[0074] Channel estimates derived by the channel estimator 358 based on a reference signal or feedback sent by the base station 310 may be used by the TX processor 368 to select the appropriate coding and modulation schemes and to facilitate spatial processing. The spatial streams generated by the TX processor 368 may be provided to different antennas 352 via separate transmitters 354TX. Each transmitter 354TX may modulate an RF carrier with a corresponding spatial stream for transmission.

[0075] The uplink transmissions are processed at the base station 310 in a manner similar to that described in conjunction with the receiver functionality at the UE 350. Each receiver 318RX receives a signal through at least one corresponding antenna 320. Each receiver 318RX recovers information modulated onto an RF carrier and provides the information to a RX processor 370.

[0076] The controller / processor 375 may be associated with a memory 376 that stores program codes and data. The memory 376 may be referred to as a computer readable medium. In the uplink, the controller / processor 375 provides demultiplexing between transport channels and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover IP packets from the UE 350. The IP packets from the controller / processor 375 may be provided to the EPC 160. The controller / processor 375 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operations.

[0077] In some aspects, at least one of the TX processor 368, the RX processor 356, and the controller / processor 359 may be configured to perform operations related to Figure 1 The invention also relates to a method for determining, based on the prediction information, whether at least one condition (198) associated with the prediction information is satisfied.

[0078] In some other aspects, at least one of the TX processor 316, the RX processor 370, and the controller / processor 375 may be configured to perform operations related to Figure 1 The invention also relates to a method for determining, based on the prediction information, whether at least one condition (198) associated with the prediction information is satisfied.

[0079] Figure 4 410 and 412. The prediction function 400 may be, for example, a function represented as Y=F(X), and may be identifiable via an identifier (ID), such as a neural network function (NNF) ID, which may be standardized or non-standardized (e.g., non-standardized for a dedicated extension). The prediction function 400 may be configured to accept an input X 410 and return an output Y 412, and in some aspects, the input X 410 and the output Y 412 may be standardized.

[0080] In some aspects, the prediction function 400 may be implemented at the UE, and in some other aspects, the prediction function implemented at the UE may be configured by the base station. For example, the base station may send one or more RRC signaling messages to the UE to configure the prediction function of the UE. Such RRC signaling messages may include some information elements (IEs) that may be mandatory (e.g., to obtain accurate output of the prediction function 400) and / or some IEs that may be optional (e.g., to facilitate flexibility across specific implementations of the prediction function).

[0081] The prediction function 400 may be supported by a model such as a neural network model 402. Examples of the neural network model 402 may include, among others, long short-term memory (LSTM), convolutional neural networks (CNN), recurrent neural networks (RNN), attention models, deep learning models, etc. However, other models may be used without departing from the scope of the present disclosure. For example, the neural network model 402 may be replaced or supplemented with a filter-based model such as an MMSE filter model, an optimization model such as a Bayesian optimization model, or other such statistical models.

[0082] The neural network model 402 may include a model structure 404 and a parameter set 406. The neural network model 402 may be implementation specific and may be defined by a mobile network operator (MNO), a vendor (e.g., a UE vendor or a base station vendor), and / or another entity. In some aspects, one prediction function may be supported by multiple models (e.g., vendor specific implementation).

[0083] In the neural network model 402, the model structure 404 can be identified via a model ID, which can include a default parameter set. Such model IDs can be unique in the network, and each model ID can be associated with a prediction function. The parameter set 406 can include weights and other configuration parameters for the neural network model 402. The parameter set 406 can be specific to a location and / or configuration.

[0084] Figure 5 5 is a diagram illustrating an example of a prediction function 520 configured to predict a beam's measurement 524. The prediction function 520 may include a set of algorithms that may be designed to predict measurements at a future time (such as future RSRP or future SNR) based on historical measurements obtained based on receiving signals from the base station 502.

[0085] In some aspects, the algorithm set may include at least one of: a neural network (such as an RNN or other neural network consisting of a set of interconnected activation functions), a set of algorithms for filtering and / or optimization, and / or another set of algorithms. In some aspects, the algorithm set may be trained and maintained by the base station. In some other aspects, the algorithm set may be executed by the base station and / or the UE. When executed at the UE, the algorithm set may be configured by the base station.

[0086] The UE may be configured to obtain actual measurements 522 for a first subset of the set of beams (e.g., beams with IDs 1, 2, and 3) at a plurality of time steps k, k-1, ..., k+1-n. These actual measurements 522 may be represented in a vector having a number of elements equal to the number of beams tracked by the UE (e.g., three (3) beams, eight (8) beams, twenty-four (24) beams, etc.), where each time step k, k-1, ..., k+1-n is represented in a corresponding vector. Such vectors may be provided as input to a prediction function 520. The prediction function 520 may return an output set, which may include predicted measurements 524 for a second subset of the set of beams.

[0087] For example, the UE may measure a subset of a set of signals transmitted by a base station (e.g., SSB, CSI-RS, etc.) in order to predict measurements of one, some, or all of the signals (e.g., SSB, CSI-RS, etc.) at a future time step. For example, the UE may measure the SSB to predict measurements for improving a CSI-RS beam for a unicast PDSCH / PDCCH. In some other examples, the prediction function 520 may be configured to provide an ID of a beam predicted to be the "best" at a future time step (e.g., predicted to have the highest RSRP, highest SNR, other similar metrics).

[0088] Thus, the prediction function 520 may be used to reduce the overhead commensurate with the reference signal transmission. Since some measurements may be predicted rather than actual, the frequency of sending reference signals to track beam or channel quality may be reduced. In addition, the UE may refrain from feeding back channel estimates to the base station so frequently. In addition, the UE may save more power by refraining from measuring and feeding back measurements to the base station so frequently.

[0089] Fig. 6A 6 is a diagram illustrating an example configuration 600a of a UE 604 in communication with a base station 602 having a prediction function 620. In the illustrated configuration 600a, the prediction function 620 can be performed at the base station 602. In such aspects, the UE 604 can send a CSI or beam report 610 to the base station 602. In some other aspects, the UE can additionally or alternatively send a set of SRS 612 that the base station 602 can be configured to detect and measure.

[0090] The base station 602 may perform a prediction function 620 based on at least one of UE feedback (e.g., CSI or beam report 610) and / or SRS 620 sent by the UE 604. Based on the output of the prediction function, the base station 602 may be configured to send information 614 to the UE 604 indicating at least one of predicted measurements and / or scheduling or resource allocation for the UE 604 on beams predicted to have acceptable and reliable measurements at future time steps. Such a configuration 600a may be particularly useful when power and / or processing capabilities are limited at the UE 604.

[0091] Figure 6B 6 is a diagram illustrating an example configuration 600b of a base station 602 having a prediction function 620 in communication with a UE 604. In the illustrated configuration, the prediction function 620 may be performed at the UE 604. However, the prediction function 620 may be configured by the base station 602 for the UE 604. To this end, the base station 602 may send a prediction function configuration 630 to the UE 604, which may include a set of weights and / or parameters for configuring the prediction function 620.

[0092] In addition, the base station 602 may send a reference signal set 632 to the UE 604. The UE 604 may determine measurement information based on receiving the reference signal set 632. For example, the UE 604 may measure RSRP or SNR based on receiving at least one of the reference signals 632. The UE 604 may use the determined measurement information (e.g., based on actual measurements of the reference signals 632) to perform the prediction function 620 configured by the prediction function configuration 630. The UE 604 may obtain one or more outputs of the prediction function 620, which may include predicted measurements based on the input measurement information. The UE 604 may send a report 634 to the base station 602, which indicates the predicted measurements obtained based on the outputs of the prediction function 620.

[0093] Configuration 600b in which the prediction function 620 is implemented at the UE 604 may be advantageous in terms of accuracy because the UE 604 may have more actual measurements than those reported to the base station 602, and further, the signaling overhead commensurate with sending or receiving the predicted measurements may be reduced relative to the first configuration 600a.

[0094] Figure 6C is a diagram illustrating an example configuration 600c of a base station 602 having a prediction function 640 in communication with a UE 604 having the prediction function 640. In the illustrated configuration 600c, one prediction function 620a may be executed at the base station 602, and another prediction function 620b may be executed at the UE 604.

[0095] The prediction function 620b at the UE 604 may be configured by the base station 602. In such aspects, the base station 602 may send a prediction function configuration 640 to the UE 604, and the prediction function configuration 640 may configure the UE-side prediction function 620b to be consistent with the base station-side prediction function 620a.

[0096] For example, the prediction function configuration 640 may include a set of weights or parameters that are based on a corresponding set of weights or parameters used to configure the base station side prediction function 620a. In some aspects, the prediction function configuration 640 may configure the UE side prediction function 620b to generate one or more outputs that are the same or substantially similar to one or more corresponding outputs of the base station side prediction function 620a, e.g., when the same set of inputs is provided to the prediction functions 620a, 620b.

[0097] In some aspects, the outputs of the prediction functions 620a, 620b may be based on actual measurements taken from reference signals 642 sent by the base station 602. The UE 604 may determine measurement information based on receiving the set of reference signals 642. For example, the UE 604 may measure RSRP or SNR based on receiving at least one of the reference signals 642. The UE 604 may report at least a portion of the measurement information (e.g., including at least a portion of the actual measurements based on the reference signals 642) to the base station 602 in a CSI or beam report 610.

[0098] With inputs based on the measurement information, each of the base station 602 and the UE 604 may independently perform respective prediction functions 620a, 620b. Since the prediction function configuration 630 configures the UE-side prediction function 620b to be consistent with the base station-side prediction function 620a, each of the prediction functions 620a, 620b may independently generate the same or substantially similar respective output sets (e.g., predicted measurement sets) given the same set of inputs based on the measurement information.

[0099] When the base station 602 and the UE 604 are provided with the same set outputs from the respective prediction functions 620a, 620b, the base station 602 and the UE 604 may autonomously configure each other's communications without any signaling overhead (or with significantly reduced signaling overhead). The base station 602 and the UE 604 may be synchronized for the autonomous configurations 646a, 646b, and because the respective output sets may indicate the same predicted measurements, the autonomous configuration 646b performed by the UE 604 may result in the identification of the beam that the base station 602 will select based on the base station-side autonomous configuration 646 to communicate with the UE 604.

[0100] Illustratively, both the base station 602 and the UE 604 may independently predict a beam failure of the current serving beam at a future time step based on the respective output sets of the prediction functions 620a, 620b. The respective output sets of the prediction functions 620a, 620b may also indicate a predicted measurement of another beam that provides a satisfactory link quality at a future time step. The predicted beam failure may trigger respective autonomous configurations 646a, 646b at the base station 602 and at the UE 604, and both the base station 602 and the UE 604 may perform a beam update process to switch from the beam that is predicted to fail to another beam that is predicted to provide a satisfactory link quality before the future time step at which the current beam fails is predicted. Therefore, the delay and signaling overhead commensurate with the generation and transmission of the beam update instruction by the base station 602 may be reduced.

[0101] Figure 7 is a diagram illustrating an example of a prediction function 700, which includes a model 720 configured to receive a set of actual measurements 722 as input and provide a predicted measurement 724 and a confidence score 726 for the predicted measurement 724 as output. The illustrated model 720 may be or may include a neural network (such as an RNN (e.g., LSTM), a CNN, etc.), a filtering model (such as an MMSE filtering model), an optimization model (such as a Bayesian optimization model), etc. The model 720 may be trained with a negative log-likelihood (NLL) loss function, for example, such that the model is trained to reduce the covariance matrix ∑ in the NLL loss to a diagonal matrix.

[0102] Model 720 may include, may be configured with, two output heads, a first of which may be configured to output a predicted measurement (such as an average RSRP prediction or an average SNR prediction), and a second of which may be configured to output a confidence score (such as a standard deviation, variance, probability, and / or likelihood) corresponding to the predicted measurement.

[0103] A UE or other network node configured with prediction function 700 may be configured to track a set of reference signals corresponding to a set of Z beams, respectively, over a set of n time steps starting at time N-n+1 and ending at time N. For example, a UE may track Z=24 reference signals (e.g., SBS or CSI-RS) over n=8 time steps. The input x may include a set of actual measurements 722 (e.g., RSRP measurements and / or SNR measurements) that may be represented as a Z×1 vector at each of the n time steps.

[0104] Based on the input x of the actual measurement 722, the model 720 can be trained to output a predicted measurement 724 represented as a Z×1 vector, which may include an average predicted measurement (e.g., average predicted RSRP, average predicted SNR, etc.). In the Z×1 vector of predicted measurements 724, each element may represent an average predicted measurement corresponding to a corresponding beam in the Z beams at a future time step N+1, and each of the Z elements of the vector is predicted based on each corresponding element of the Z×1 vector of actual measurements 722 at n past time steps.

[0105] In addition, the model 720 can be trained to output a confidence score 726 represented as a Z×1 vector having elements corresponding to the Z elements of the predicted measurement 724, respectively. In some aspects, the confidence score 726 can include the standard deviation of the actual measurement values ​​distributed over n time steps. For example, the confidence score 726 can include the square root of the diagonal elements in the covariance matrix. The confidence score 726 can be used as an indicator of the reliability of the predicted measurement 724.

[0106] Figure 8 8 is a call flow diagram illustrating an example communication flow 800 between a UE 804 configured to report predicted measurements 842 to a base station 802 based on a configuration 832 provided by the base station. In some aspects, the UE 804 may be configured with a prediction function, while the base station 802 may not use the prediction function (e.g., see Figure 6B ). Thus, the UE 604 may be configured to report one or more predicted measurements to the base station 802, so that the base station 802 can schedule the UE 804 on the beam at a future time step. In some other aspects of the illustrated communication flow 800, the UE 804 may be configured with a prediction function, and the base station 802 may also be configured with a prediction function (e.g., see Figure 6C ). Therefore, the UE 804 and the base station 802 may be configured to autonomously determine the predicted measurements.

[0107] The base station 802 may send and the UE 804 may receive a prediction function configuration 832 that configures the prediction function at the UE 804 to be consistent with the prediction function of the base station 802 .

[0108] The base station 802 may transmit and the UE 804 may receive a first set of signals 834 that respectively correspond to the beam sets 812 of the base station 802. For example, each of the signals 834 may be an SSB or a CSI-RS transmitted on a corresponding beam in the beam set 812.

[0109] The UE 804 may determine a set of values ​​that respectively correspond to the set of signals 834 received from the base station 802. In various aspects, each of the set of values ​​may be an RSRP value, an RSRQ value, an SNR value, an SINR value, a CQI value, or an RSSI value. The UE 804 may be configured to identify a respective resource on which each signal in the set of signals 834 is carried, and the UE 804 may be configured to measure energy or power on the identified respective resource (e.g., to obtain an RSRP value), and / or measure energy or power on the identified respective resource corresponding to one of the set of signals 834 and subtract the measurement from the total energy or power on the identified respective resource (e.g., to obtain an SNR value).

[0110] In some aspects, to determine the set of values, the UE 804 may be configured to generate measurement information corresponding to the signal set 834. For example, the UE 804 may generate a vector for each time step in a plurality of time steps, and the UE 804 may populate the elements of each vector with measurements obtained at the corresponding time step based on the signal set 834. In some aspects, the measurement information includes the determined set of values, while in some other aspects, the UE 804 may process the measurement information to produce the set of values.

[0111] The UE 804 may determine at least one predicted value 842 based on the value set corresponding to the signal set 834 received from the base station 802, respectively, and the at least one predicted value 842 may correspond to at least one beam used to communicate with the base station 802. The at least one predicted value 842 may be at least one predicted RSRP, at least one predicted RSRQ, at least one predicted SNR, at least one predicted SINR, at least one predicted CQI, or at least one predicted RSSI. In some aspects, the at least one predicted value 842 may be an average predicted value 842. In some aspects, the UE 804 may predict a corresponding value at a future time step for each measurement value corresponding to one of the beam sets 812 on each of the past time step sets. The UE 804 may plot a distribution of the corresponding values ​​predicted for the future time step—for example, the UE 804 may plot a point of a predicted value at a future time step predicted from a measurement value at the past time step N-n+1, ​​the UE 804 may plot another point of another predicted value at a future time step predicted from another measurement value at the past time step N-n+2, and so on. The UE 804 may find the average of the distribution of the plotted points, which may be an average predicted value 842 corresponding to one of the beam sets 812 at a future time step. In some aspects, the UE 804 may further determine the at least one predicted value 842 based on at least one of a battery state of the UE 804, a processor utilization of the UE 804, or a capability of the UE 804.

[0112] In some aspects, the UE 804 may input the set of values ​​into a function to determine at least one predicted value 842. For example, the function may include at least one of a neural network, a deep learning model, or a filter-based algorithm.

[0113] To determine the at least one predicted value 842, the UE 804 may further obtain the at least one predicted value 842 as an output of a function based on the set of input values.

[0114] The UE 804 may determine whether at least one condition associated with the prediction information is satisfied based on the prediction information. In some aspects, the UE 804 may send the prediction information to the base station. In some other aspects, the UE 804 may send a CSI report 836 including actual measurements from the first set of signals 834 to the base station 802. The base station 802 may determine the prediction information based on the CSI report 836, for example, similar to the manner in which the UE 804 determines the prediction information.

[0115] Based on the prediction information, the base station 802 may send and the UE 804 may receive a second set of signals 838. When at least one condition is satisfied, the UE 804 may generate beam information associated with at least one first beam in the beam set 812 based on the second set of signals 838 received from the base station 802 via the second subset of the beam set 812.

[0116] UE 804 may send, and base station 802 may receive, a report 840 including beam information.

[0117] After receiving report 840, base station 802 can determine the selected beam in beam set 812 based on the beam information. For example, base station 802 can compare the respective values ​​corresponding to each of the beam set with each other to determine the highest or "best" measurement value corresponding to the selected beam.

[0118] The base station 802 may send a beam configuration update 844 to the UE 804. The beam configuration update 844 may indicate the selected beam to the UE 804. The UE 804 may receive the beam configuration update 844 and tune the antenna panel or array in a direction corresponding to or paired with the direction of the selected beam.

[0119] The base station 802 and the UE 804 may communicate using the selected beam in the beam set 812. For example, the base station 802 may send data and / or control information to the UE 804 via the selected beam.

[0120] Fig. 9900 is a flow chart of a method of wireless communication. The method may be performed by or at a network node such as a UE (e.g., UE 104, 350), another wireless communication device (e.g., device 1102), or one or more components thereof. According to various aspects, one or more illustrated blocks may be omitted, swapped, and / or performed concurrently.

[0121] At 902, the UE may use a function to obtain prediction information based on a first set of signals received from a base station via a first subset of a set of beams. The function may include at least one of a machine learning model, a minimum mean square error (MMSE) filter model, a Bayesian optimization model, or another neural network model.

[0122] For example, in Figure 7 In the context of , the UE may obtain a predicted value 724 as an output of the prediction function 700 based on inputting the actual measurement 722 into the prediction function 700 having the model 720. For example, in Figure 8 In the context of , the UE 804 can use a function to obtain prediction information based on a first set of signals received from the base station 802 via a first subset of the beam sets 812.

[0123] At 904, the UE may determine whether at least one condition associated with the prediction information is satisfied based on the prediction information.

[0124] For example, in Figure 8 In the context of, UE 804 may determine whether at least one condition associated with the prediction information is satisfied based on the prediction information.

[0125] At 906, when at least one condition is met, the UE may generate beam information associated with at least one first beam of the set of beams based on a second set of signals received from the base station via a second subset of the set of beams. In various aspects, the beam information may include a set of values, and each of the set of values ​​may be an RSRP value, an RSRQ value, an SNR value, an SINR value, a CQI value, or an RSSI value. The UE may be configured to identify a respective resource on which each signal in the set of signals is carried, and the UE may be configured to measure energy or power on the identified respective resource (e.g., to obtain an RSRP value), and / or measure energy or power on the identified respective resource corresponding to one of the set of signals and subtract the measurement from the total energy or power on the identified respective resource (e.g., to obtain an SNR value).

[0126] For example, in Figure 8 In the context of, when at least one condition is met, UE 804 may generate beam information associated with at least one first beam in beam set 812 based on a second signal set received from base station 802 via a second subset of the beam set.

[0127] At 908, the UE may send a report including beam information to the base station. Figure 8 In the context of, UE 804 may send a report 840 including beam information to base station 802.

[0128] In some aspects, the UE may receive a resource configuration from the base station before the at least one condition is satisfied, wherein the resource configuration indicates at least one of a set of resources on which to send the report or a set of resources on which to receive the second set of signals.

[0129] In some aspects, the UE may receive, from the base station, a function configuration indicating a set of parameters for the function, wherein the function configuration is associated with a prediction function at the base station; and apply the set of parameters to the function.

[0130] In some aspects, the UE may send a channel state information (CSI) report to the base station for processing by the base station using a prediction function at the base station, wherein the CSI report is based on the first set of signals received from the base station via the first subset of the beam set, and wherein the second set of signals is received based on the CSI report.

[0131] In some aspects, the UE may send a set of sounding reference signals (SRS) to the base station for processing by the base station using the prediction function at the base station, wherein the second set of signals is further received based on the set of SRS.

[0132] In some aspects, the UE may send at least a portion of the prediction information to the base station; and receive the second set of signals based on the at least a portion of the prediction information.

[0133] In some aspects, receipt of the second set of signals is further based on an acknowledgement (ACK) message from the base station associated with the at least a portion of the predicted information.

[0134] In some aspects, in order to obtain the prediction information from the function based on the first signal set, the UE is further configured to: obtain multiple outputs from multiple output ports of the function based on the first signal set received from the base station via the first subset of the beam set, wherein the prediction information is based on at least one of the multiple outputs.

[0135] In some aspects, the prediction information includes at least one confidence score based on the at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0136] In some aspects, the at least one confidence score indicates a reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score comprises at least one of a standard deviation, a variability, a probability, or a likelihood.

[0137] In some aspects, the at least one condition includes a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and also includes a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0138] In some aspects, the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of a signaling or non-signaling configuration received from the base station.

[0139] In some aspects, each of the plurality of output ports corresponds to at least one of a respective transmit configuration indicator (TCI) state or a respective reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a respective ID of a respective condition of the at least one condition.

[0140] In some aspects, each of the multiple output ports is further associated with a corresponding reporting configuration that indicates a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report quantity to be indicated by the report.

[0141] In some aspects, each of the plurality of output ports is associated with at least one of a respective channel state information (CSI) triggering state ID or a respective ID of a respective reporting configuration.

[0142] In some aspects, the association between each of the multiple output ports and the at least one of the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration is defined based on at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE).

[0143] In some aspects, the association between each of the plurality of output ports and the at least one of the respective CSI triggering state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0144] In some aspects, each of the plurality of output ports is associated with a corresponding identifier (ID) of one of a transmit configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0145] In some aspects, the UE is configured to send the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0146] In some aspects, the prediction information includes at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0147] In some aspects, the at least one condition is defined by a non-signaled configuration.

[0148] Fig.10 1 is a flow chart of a method 1000 of wireless communication. The method may be performed by or at a network node such as a base station (e.g., base station 102 / 180, 310), another wireless communication device (e.g., device 1202), or one or more components thereof. According to various aspects, one or more illustrated blocks may be omitted, swapped, and / or performed concurrently.

[0149] At 1002, the base station may determine whether at least one condition associated with the prediction information is satisfied based on prediction information, wherein the prediction information is based on a first set of signals sent via at least a first subset of a set of beams.

[0150] For example, in Figure 8 In the context of, the base station 802 may determine whether at least one condition associated with the prediction information is satisfied based on the prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of the beam sets 812.

[0151] At 1004, the base station may transmit a second set of signals via at least a second subset of the set of beams based on determining that at least one condition is satisfied. For example, each of the signals may be an SSB or a CSI-RS transmitted on a corresponding beam in the set of beams.

[0152] For example, in Figure 8 In the context of, the base station 802 may send a second set of signals via at least a second subset of the beam sets based on determining that at least one condition is satisfied.

[0153] At 1006, the base station may receive, from the UE, a report including beam information associated with at least one first beam of the set of beams, the beam information being based on a second set of signals sent via at least a second subset of the set of beams.

[0154] For example, in Figure 8 In the context of, base station 802 may receive a report from UE 804 that includes beam information associated with at least one first beam of the beam set, the beam information being based on a second set of signals sent via at least a second subset of the beam set.

[0155] At 1008, the base station may schedule communications with the UE based on the beam information. Figure 8 In the context of, base station 802 can schedule communication with UE 804 based on beam information.

[0156] In some aspects, the base station is further configured to send a resource configuration to the UE before determining that the at least one condition is satisfied, wherein the resource configuration indicates at least one of a set of resources on which to send the report or a set of resources carrying the second signal set.

[0157] In some aspects, the base station is further configured to: receive the prediction information from the UE.

[0158] In some aspects, the base station is further configured to send an acknowledgement (ACK) message to the UE based on receipt of the prediction information.

[0159] In some aspects, the base station is further configured to: receive a channel state information (CSI) report from the UE, the channel state information (CSI) report being based on the first signal set sent via at least the first subset of the beam set; and obtain the prediction information based on processing the CSI report using a function.

[0160] In some aspects, the base station is further configured to receive a sounding reference signal (SRS) set from the UE, wherein the prediction information is obtained using the function further based on processing the SRS set.

[0161] In some aspects, the function includes at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

[0162] In some aspects, the base station is further configured to: send a function configuration associated with the function to the UE, wherein the function configuration indicates a set of parameters of the prediction function at the UE.

[0163] In some aspects, to obtain the prediction information from the function based on the first signal set, the base station is further configured to obtain multiple outputs from multiple output ports of the function based on the CSI report from the UE, wherein the prediction information is based on at least one of the multiple outputs.

[0164] In some aspects, the prediction information includes at least one confidence score based on the at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0165] In some aspects, the at least one confidence score indicates a reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score comprises at least one of a standard deviation, a variability, a probability, or a likelihood.

[0166] In some aspects, the at least one condition includes a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and also includes a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0167] In some aspects, the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of a signaling or non-signaling configuration received from the UE.

[0168] In some aspects, each of the plurality of output ports corresponds to at least one of a respective transmit configuration indicator (TCI) state or a respective reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a respective ID of a respective condition of the at least one condition.

[0169] In some aspects, each of the multiple output ports is further associated with a corresponding reporting configuration that indicates a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report quantity to be indicated by the report.

[0170] In some aspects, each of the plurality of output ports is associated with at least one of a respective CSI triggering state identifier (ID) or a respective ID of a respective reporting configuration.

[0171] In some aspects, the base station is further configured to: send at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE) to the UE, the at least one indicating an association between each of the multiple output ports and the corresponding CSI trigger state ID or the at least one of the corresponding IDs of the corresponding reporting configuration.

[0172] In some aspects, the association between each of the plurality of output ports and the at least one of the respective CSI triggering state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0173] In some aspects, each of the plurality of output ports is associated with a corresponding ID of one of a transmit configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0174] In some aspects, the base station is configured to receive the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0175] In some aspects, the prediction information includes at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0176] Various examples of the techniques of this disclosure are summarized in the following clauses:

[0177] Clause 1: A first network node, comprising: a memory; and at least one processor, the at least one processor being coupled to the memory, wherein the at least one processor is configured to: obtain prediction information using a function based on a first signal set received from a second network node via a first subset of a beam set; determine whether at least one condition associated with the prediction information is satisfied based on the prediction information; when the at least one condition is satisfied, generate beam information associated with at least one first beam of the beam set based on a second signal set received from the second network node via a second subset of the beam set; and send a report including the beam information to the second network node.

[0178] Clause 2: The first network node of clause 1, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

[0179] Clause 3: A first network node according to clause 1, wherein the at least one processor is further configured to: receive a resource configuration from the second network node before the at least one condition is met, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources on which the second signal set is received.

[0180] Clause 4: A first network node according to clause 1, wherein the at least one processor is further configured to: receive a function configuration indicating a set of parameters for the function from the second network node, wherein the function configuration is associated with a prediction function at the second network node; and apply the set of parameters to the function.

[0181] Clause 5: A first network node according to clause 1, wherein the at least one processor is further configured to send a channel state information (CSI) report to the second network node for processing by the second network node using a prediction function at the second network node, wherein the CSI report is based on the first set of signals received from the second network node via the first subset of the beam set, and wherein the second set of signals is received based on the CSI report.

[0182] Clause 6: A first network node according to clause 5, wherein the at least one processor is further configured to send a set of sounding reference signals (SRS) to the second network node for processing by the second network node using the prediction function at the second network node, wherein the second signal set is further received based on the SRS set.

[0183] Clause 7: The first network node of clause 1, wherein the at least one processor is further configured to: send at least a portion of the prediction information to the second network node; and receive the second set of signals based on the at least a portion of the prediction information.

[0184] Clause 8: The first network node of clause 7, wherein the receipt of the second set of signals is further based on an acknowledgement (ACK) message from the second network node associated with the at least a portion of the prediction information.

[0185] Clause 9: A first network node according to clause 1, wherein in order to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to obtain multiple outputs from multiple output ports of the function based on the first signal set received from the second network node via the first subset of the beam set, wherein the prediction information is based on at least one of the multiple outputs.

[0186] Clause 10: A first network node according to clause 9, wherein the prediction information includes at least one confidence score based on at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0187] Clause 11: A first network node according to clause 10, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability or a likelihood.

[0188] Clause 12: The first network node of clause 11, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0189] Clause 13: A first network node according to clause 11, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of signaling or non-signaling configuration received from the second network node.

[0190] Clause 14: A first network node according to clause 9, wherein each of the plurality of output ports corresponds to at least one of a respective transmit configuration indicator (TCI) state or a respective reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a respective ID of a respective condition of the at least one condition.

[0191] Clause 15: A first network node according to clause 14, wherein each of the plurality of output ports is further associated with a respective reporting configuration, the respective reporting configuration indicating a first set of resources for carrying the report, a second set of resources for carrying the second set of signals, or at least one of a report amount to be indicated by the report.

[0192] Clause 16: The first network node of clause 9, wherein each of the plurality of output ports is associated with at least one of a respective channel state information (CSI) triggering state ID or a respective ID of a respective reporting configuration.

[0193] Clause 17: A first network node according to clause 16, wherein the association between each of the plurality of output ports and the at least one of the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration is defined based on at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE).

[0194] Clause 18: The first network node of clause 16, wherein the association between each of the plurality of output ports and the at least one of the respective CSI trigger state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0195] Clause 19: A first network node according to clause 16, wherein each of the plurality of output ports is associated with a corresponding identifier (ID) of one of a transmit configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0196] Clause 20: The first network node of clause 1, wherein the at least one processor is configured to send the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0197] Clause 21: The first network node of clause 1, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0198] Clause 22: The first network node of clause 1, wherein the at least one condition is defined by a non-signaled configuration.

[0199] Clause 23: A first network node, comprising: a memory; and at least one processor, the at least one processor being coupled to the memory, wherein the at least one processor is configured to: determine whether at least one condition associated with the prediction information is satisfied based on prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of a beam set; based on determining that the at least one condition is satisfied, send a second signal set via at least a second subset of the beam set; receive a report from a second network node including beam information associated with at least one first beam of the beam set, the beam information being based on the second signal set sent via at least the second subset of the beam set; and schedule communication with the second network node based on the beam information.

[0200] Clause 24: A first network node according to clause 23, wherein the at least one processor is further configured to send a resource configuration to the second network node before determining that the at least one condition is satisfied, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources carrying the second signal set.

[0201] Clause 25: The first network node of clause 23, wherein the at least one processor is further configured to: receive the prediction information from the second network node.

[0202] Clause 26: The first network node of clause 25, wherein the at least one processor is further configured to: send an acknowledgement (ACK) message to the second network node based on receipt of the prediction information.

[0203] Clause 27: A first network node according to clause 23, wherein the at least one processor is further configured to: receive a channel state information (CSI) report from the second network node, the channel state information (CSI) report being based on the first signal set sent via at least the first subset of the beam set; and obtain the prediction information based on processing the CSI report using a function.

[0204] Clause 28: The first network node of clause 27, wherein the at least one processor is further configured to: receive a sounding reference signal (SRS) set from the second network node, wherein the prediction information is further obtained based on processing the SRS set using the function.

[0205] Clause 29: The first network node of clause 27, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

[0206] Clause 30: The first network node of clause 27, wherein the at least one processor is further configured to: send a function configuration associated with the function to the second network node, wherein the function configuration indicates a set of parameters of the prediction function at the second network node.

[0207] Clause 31: A first network node according to clause 27, wherein in order to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to: obtain multiple outputs from multiple output ports of the function based on the CSI report from the second network node, wherein the prediction information is based on at least one of the multiple outputs.

[0208] Clause 32: A first network node according to clause 31, wherein the prediction information includes at least one confidence score based on at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0209] Clause 33: A first network node according to clause 32, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability or a likelihood.

[0210] Clause 34: A first network node according to clause 33, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0211] Clause 35: A first network node according to clause 33, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of signaling or non-signaling configurations received from the second network node.

[0212] Clause 36: A first network node according to clause 31, wherein each of the plurality of output ports corresponds to at least one of a corresponding transmission configuration indicator (TCI) state or a corresponding reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a corresponding ID of a corresponding condition of the at least one condition.

[0213] Clause 37: A first network node according to clause 36, wherein each of the plurality of output ports is further associated with a respective reporting configuration, the respective reporting configuration indicating a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report amount to be indicated by the report.

[0214] Clause 38: The first network node of clause 31, wherein each of the plurality of output ports is associated with at least one of a respective CSI triggering state identifier (ID) or a respective ID of a respective reporting configuration.

[0215] Clause 39: A first network node according to clause 38, wherein the at least one processor is further configured to send at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE) to the second network node, the at least one indicating an association between each of the plurality of output ports and the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration.

[0216] Clause 40: The first network node of clause 38, wherein the association between each of the plurality of output ports and the at least one of the respective CSI trigger state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0217] Clause 41: A first network node according to clause 38, wherein each of the plurality of output ports is associated with a corresponding ID of one of a transmit configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0218] Clause 42: The first network node of clause 23, wherein the at least one processor is configured to receive the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0219] Clause 43: The first network node of clause 23, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0220] Clause 44: A first network node, comprising: a memory; and at least one processor, the at least one processor coupled to the memory, wherein the at least one processor is configured to: obtain prediction information using a function based on a first signal set received from a second network node via a first subset of a beam set; determine whether at least one condition associated with the prediction information is satisfied based on the prediction information; when the at least one condition is satisfied, generate beam information associated with at least one first beam of the beam set based on a second signal set received from the second network node via a second subset of the beam set; and send a report including the beam information to the second network node.

[0221] Clause 45: The first network node of clause 44, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

[0222] Clause 46: A first network node according to any one of clauses 44 and 45, wherein the at least one processor is further configured to receive a resource configuration from the second network node before the at least one condition is met, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources on which the second signal set is received.

[0223] Clause 47: A first network node according to any one of clauses 44 to 46, wherein the at least one processor is further configured to: receive a function configuration indicating a set of parameters for the function from the second network node, wherein the function configuration is associated with a prediction function at the second network node; and apply the set of parameters to the function.

[0224] Clause 48: A first network node according to any one of clauses 44 to 47, wherein the at least one processor is further configured to send a channel state information (CSI) report to the second network node for processing by the second network node using a prediction function at the second network node, wherein the CSI report is based on the first set of signals received from the second network node via the first subset of the beam set, and wherein the second set of signals is received based on the CSI report.

[0225] Clause 49: A first network node according to clause 48, wherein the at least one processor is further configured to send a set of sounding reference signals (SRS) to the second network node for processing by the second network node using the prediction function at the second network node, wherein the second signal set is further received based on the SRS set.

[0226] Clause 50: A first network node as described in any of clauses 44 to 49, wherein the at least one processor is further configured to: send at least a portion of the prediction information to the second network node; and receive the second set of signals based on the at least a portion of the prediction information.

[0227] Clause 51: The first network node of clause 50, wherein the receipt of the second set of signals is further based on an acknowledgement (ACK) message from the second network node associated with the at least a portion of the prediction information.

[0228] Clause 52: A first network node according to any one of clauses 44 to 51, wherein in order to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to obtain multiple outputs from multiple output ports of the function based on the first signal set received from the second network node via the first subset of the beam set, wherein the prediction information is based on at least one of the multiple outputs.

[0229] Clause 53: A first network node according to clause 52, wherein the prediction information includes at least one confidence score based on at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0230] Clause 54: A first network node according to clause 53, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability or a likelihood.

[0231] Clause 55: A first network node according to clause 54, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0232] Clause 56: A first network node according to any one of clauses 54 and 55, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of a signaling or non-signaling configuration received from the second network node.

[0233] Clause 57: A first network node according to any one of clauses 52 to 56, wherein each of the plurality of output ports corresponds to at least one of a corresponding transmission configuration indicator (TCI) state or a corresponding reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a corresponding ID of a corresponding condition of the at least one condition.

[0234] Clause 58: A first network node according to clause 57, wherein each of the plurality of output ports is further associated with a respective reporting configuration, the respective reporting configuration indicating a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report amount to be indicated by the report.

[0235] Clause 59: A first network node as described in any of clauses 52 to 58, wherein each of the plurality of output ports is associated with at least one of a respective channel state information (CSI) triggering state ID or a respective ID of a respective reporting configuration.

[0236] Clause 60: A first network node according to clause 59, wherein the association between each of the plurality of output ports and the at least one of the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration is defined based on at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE).

[0237] Clause 61: A first network node according to any of clauses 59 and 60, wherein the association between each of the plurality of output ports and the at least one of the respective CSI trigger state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0238] Clause 62: A first network node according to any one of clauses 59 to 61, wherein each of the plurality of output ports is associated with a corresponding identifier (ID) of one of a transmission configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0239] Clause 63: A first network node as described in any of clauses 44 to 62, wherein the at least one processor is configured to send the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0240] Clause 64: The first network node of any of clauses 44 to 63, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0241] Clause 65: The first network node of any of clauses 44 to 64, wherein the at least one condition is defined by a non-signaled configuration.

[0242] Clause 66: A first network node, comprising: a memory; and at least one processor, the at least one processor being coupled to the memory, wherein the at least one processor is configured to: determine whether at least one condition associated with the prediction information is satisfied based on prediction information, wherein the prediction information is based on a first signal set sent via at least a first subset of a beam set; based on determining that the at least one condition is satisfied, send a second signal set via at least a second subset of the beam set; receive a report from a second network node comprising beam information associated with at least one first beam of the beam set, the beam information being based on the second signal set sent via at least the second subset of the beam set; and schedule communication with the second network node based on the beam information.

[0243] Clause 67: A first network node according to clause 66, wherein the at least one processor is further configured to send a resource configuration to the second network node before determining that the at least one condition is satisfied, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources carrying the second signal set.

[0244] Clause 68: The first network node of any of clauses 66 and 67, wherein the at least one processor is further configured to receive the prediction information from the second network node.

[0245] Clause 69: The first network node of clause 68, wherein the at least one processor is further configured to: send an acknowledgement (ACK) message to the second network node based on receipt of the prediction information.

[0246] Clause 70: A first network node according to any one of clauses 66 to 69, wherein the at least one processor is further configured to: receive a channel state information (CSI) report from the second network node, the channel state information (CSI) report being based on the first set of signals sent via at least the first subset of the beam set; and obtain the prediction information based on processing the CSI report using a function.

[0247] Clause 71: The first network node of clause 70, wherein the at least one processor is further configured to receive a set of sounding reference signals (SRS) from the second network node, wherein the prediction information is further obtained based on processing the set of SRS using the function.

[0248] Clause 72: A first network node according to any of clauses 71 and 72, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

[0249] Clause 73: A first network node as described in any of clauses 70 to 72, wherein the at least one processor is further configured to send a function configuration associated with the function to the second network node, wherein the function configuration indicates a set of parameters of the prediction function at the second network node.

[0250] Clause 74: A first network node according to any one of clauses 70 to 73, wherein in order to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to obtain multiple outputs from multiple output ports of the function based on the CSI report from the second network node, wherein the prediction information is based on at least one of the multiple outputs.

[0251] Clause 75: A first network node according to clause 74, wherein the prediction information includes at least one confidence score based on at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

[0252] Clause 76: A first network node according to clause 75, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability or a likelihood.

[0253] Clause 77: A first network node according to clause 76, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

[0254] Clause 78: A first network node according to any one of clauses 76 and 77, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of a signaling or non-signaling configuration received from the second network node.

[0255] Clause 79: A first network node according to any one of clauses 74 to 78, wherein each of the plurality of output ports corresponds to at least one of a corresponding transmission configuration indicator (TCI) state or a corresponding reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a corresponding ID of a corresponding condition of the at least one condition.

[0256] Clause 80: A first network node according to clause 79, wherein each of the plurality of output ports is further associated with a respective reporting configuration, the respective reporting configuration indicating a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report amount to be indicated by the report.

[0257] Clause 81: A first network node as set forth in any of clauses 74 to 80, wherein each of the plurality of output ports is associated with at least one of a respective CSI triggering state identifier (ID) or a respective ID of a respective reporting configuration.

[0258] Clause 82: A first network node according to clause 81, wherein the at least one processor is further configured to send at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE) to the second network node, the at least one indicating an association between each of the plurality of output ports and the corresponding CSI trigger state ID or at least one of the corresponding IDs of the corresponding reporting configuration.

[0259] Clause 83: A first network node according to any of clauses 81 and 82, wherein the association between each of the plurality of output ports and the at least one of the respective CSI trigger state ID or the respective ID of the respective reporting configuration is defined based on at least one rule.

[0260] Clause 84: A first network node according to any one of clauses 81 to 83, wherein each of the plurality of output ports is associated with a corresponding ID of one of a transmit configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

[0261] Clause 85: The first network node of any of clauses 66 to 84, wherein the at least one processor is configured to receive the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

[0262] Clause 86: The first network node of any of clauses 66 to 84, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

[0263] The previous description is provided to enable one of ordinary skill in the art to practice the various aspects described herein. Various modifications to these aspects will be readily understood by one of ordinary skill in the art, and the general principles defined herein may be applied to other aspects. Therefore, the claims are not intended to be limited to the various aspects shown herein, but should be given the full scope consistent with the language. Therefore, the language employed herein is not intended to limit the scope of the claims to only those aspects shown herein, but should be given the full scope consistent with the language of the claims.

[0264] As an example, the language "determine" may encompass a wide variety of actions and, therefore, may not be limited to the concepts and aspects explicitly described or illustrated by the present disclosure. In some contexts, "determine" may include calculating, computing, processing, measuring, deriving, investigating, searching (e.g., searching in a table, database, or another data structure), ascertaining, resolving, selecting, choosing, establishing, and the like. In some other contexts, "determining" may include communication and / or memory operations / processes such as "receiving" (e.g., receiving information), "accessing" (e.g., accessing data in a memory), "detecting," and the like by obtaining information or values.

[0265] As another example, reference to a singular element is not intended to mean "there is and only one" (unless otherwise specifically stated), but "one or more". In addition, terms such as "if", "when ..." and "when ..." should be interpreted as meaning "under ..." conditions, rather than implying a direct temporal relationship or reaction. That is, these phrases (e.g., "when ...") do not imply an immediate action in response to the occurrence of an action or event or during the occurrence of an action or event, but imply that another action or event will occur if a condition is met, without requiring a specific or immediate time constraint or direct correlation for the occurrence of the other action or event. The word "exemplary" is used herein to mean "used as an example, instance or illustration". Any aspect described herein as "exemplary" is not necessarily interpreted as being preferred or having an advantage over other aspects. Unless otherwise specified, the term "some" refers to one or more. Combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of A, B and C,” “one or more of A, B, and C,” and “A, B, C, or any combination thereof” include any combination of A, B, and / or C, and may include multiple A, multiple B, or multiple C. Specifically, combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of A, B, and C,” “one or more of A, B, and C,” and “A, B, C, or any combination thereof” may be only A, only B, only C, A and B, A and C, B and C, or A and B and C, where any such combination may include one or more members of A, B, or C. All structural and functional equivalents to the elements of the various aspects described throughout the disclosure that are known or later become known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the claims. Furthermore, nothing disclosed herein is intended to be disclosed to the public, regardless of whether such disclosure is explicitly cited in the claims. Words such as "module," "mechanism," "element," "device," etc. cannot replace the word "component." Thus, no claim element will be construed as a component-plus-function unless the element is explicitly recited using the phrase "component for..."

[0266] As yet another example, the phrase "based on" should not be interpreted as referring to a closed set of information, one or more conditions, one or more factors, etc. In other words, the phrase "based on A" (where "A" may be information, a condition, a factor, etc.) should be interpreted as "based at least on A" unless specifically stated differently.

[0267] As yet another example, different terms may be used in various aspects to describe the communication of information (e.g., any information, signal, etc.). The disclosure of one communication term includes the disclosure of other communication terms. For example, a first network node may be described as being configured to send information to a second network node. In this example and consistent with the present disclosure, the disclosure that the first network node is configured to send information to the second network node includes the disclosure that the first network node is configured to provide, transmit, output, communicate, or send information to the second network node. Similarly, in this example and consistent with the present disclosure, the disclosure that the first network node is configured to send information to the second network node includes the disclosure that the second network node is configured to receive, obtain, or decode information provided, sent, output, communicated, or sent by the first network node.

Claims

1. A first network node, the first network node comprising: Memory; and at least one processor coupled to the memory, wherein the at least one processor is configured to: obtaining prediction information using a function based on a first set of signals received from a second network node via a first subset of a set of beams; determining, based on the prediction information, whether at least one condition associated with the prediction information is satisfied; generating beam information associated with at least one first beam of the set of beams based on a second set of signals received from the second network node via a second subset of the set of beams when the at least one condition is met; as well as Send a report including the beam information to the second network node.

2. The first network node of claim 1, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

3. The first network node according to claim 1, wherein the at least one processor is further configured to receive a resource configuration from the second network node before the at least one condition is met, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources on which the second signal set is received.

4. The first network node of claim 1 , wherein the at least one processor is further configured to: receiving, from the second network node, a function configuration indicating a set of parameters for the function, wherein the function configuration is associated with a prediction function at the second network node; and Apply the parameter set to the function.

5. The first network node of claim 1 , wherein the at least one processor is further configured to send a channel state information (CSI) report to the second network node for processing by the second network node using a prediction function at the second network node, wherein the CSI report is based on the first set of signals received from the second network node via the first subset of beam sets, and wherein the second set of signals is received based on the CSI report.

6. The first network node of claim 5, wherein the at least one processor is further configured to send a set of sounding reference signals (SRS) to the second network node for processing by the second network node using the prediction function at the second network node, wherein the second signal set is further received based on the SRS set.

7. The first network node of claim 1 , wherein the at least one processor is further configured to: sending at least a portion of the prediction information to the second network node; and The second set of signals is received based on the at least a portion of the prediction information.

8. The first network node of claim 7, wherein the receipt of the second set of signals is further based on an acknowledgement (ACK) message from the second network node associated with the at least a portion of the prediction information.

9. The first network node of claim 1 , wherein in order to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to obtain a plurality of outputs from a plurality of output ports of the function based on the first signal set received from the second network node via the first subset of the beam set, wherein the prediction information is based on at least one of the plurality of outputs.

10. The first network node of claim 9, wherein the prediction information comprises at least one confidence score based on the at least one of the plurality of outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is satisfied is based on the at least one confidence score.

11. A first network node according to claim 10, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability or a likelihood.

12. The first network node of claim 11, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

13. A first network node according to claim 11, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of signaling or non-signaling configurations received from the second network node.

14. The first network node of claim 9, wherein each of the plurality of output ports corresponds to at least one of a corresponding transmission configuration indicator (TCI) state or a corresponding reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a corresponding ID of a corresponding condition of the at least one condition.

15. A first network node according to claim 14, wherein each of the multiple output ports is further associated with a corresponding reporting configuration, the corresponding reporting configuration indicating a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report amount to be indicated by the report.

16. The first network node of claim 9, wherein each of the plurality of output ports is associated with at least one of a corresponding channel state information (CSI) triggering state ID or a corresponding ID of a corresponding reporting configuration.

17. The first network node according to claim 16, wherein the association between each of the plurality of output ports and the at least one of the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration is defined based on one of at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE).

18. The first network node according to claim 16, wherein the association between each of the plurality of output ports and the at least one of the corresponding CSI triggering state ID or the corresponding ID of the corresponding reporting configuration is defined based on at least one rule.

19. The first network node of claim 16, wherein each of the plurality of output ports is associated with a respective identifier (ID) of one of a transmission configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the respective ID of the one of the TCI state or the reference signal.

20. The first network node of claim 1, wherein the at least one processor is configured to send the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

21. The first network node of claim 1, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

22. The first network node of claim 1, wherein the at least one condition is defined by a non-signaled configuration.

23. A first network node, the first network node comprising: Memory; and at least one processor coupled to the memory, wherein the at least one processor is configured to: determining whether at least one condition associated with the prediction information is satisfied based on the prediction information, wherein the prediction information is based on a first set of signals transmitted via at least a first subset of a set of beams; Based on determining that the at least one condition is satisfied, transmitting a second set of signals via at least a second subset of the set of beams; receiving, from a second network node, a report comprising beam information associated with at least one first beam of the set of beams, the beam information being based on the second set of signals sent via the at least the second subset of the set of beams; as well as Communications with the second network node are scheduled based on the beam information.

24. The first network node of claim 23, wherein the at least one processor is further configured to send a resource configuration to the second network node before determining that the at least one condition is satisfied, wherein the resource configuration indicates at least one of a set of resources on which the report is sent or a set of resources carrying the second set of signals.

25. The first network node of claim 23, wherein the at least one processor is further configured to receive the prediction information from the second network node.

26. The first network node of claim 25, wherein the at least one processor is further configured to send an acknowledgement (ACK) message to the second network node based on receipt of the prediction information.

27. The first network node of claim 23, wherein the at least one processor is further configured to: receiving a channel state information (CSI) report from the second network node, the channel state information (CSI) report being based on the first set of signals sent via the at least the first subset of the sets of beams; and The prediction information is obtained using a function based on processing the CSI report.

28. The first network node of claim 27, wherein the at least one processor is further configured to receive a sounding reference signal (SRS) set from the second network node, wherein the prediction information is obtained using the function further based on processing the SRS set.

29. The first network node of claim 27, wherein the function comprises at least one of a machine learning model, a minimum mean square error (MMSE) filtering model, a Bayesian optimization model, or another neural network model.

30. The first network node of claim 27, wherein the at least one processor is further configured to send a function configuration associated with the function to the second network node, wherein the function configuration indicates a set of parameters of the prediction function at the second network node.

31. The first network node of claim 27, wherein to obtain the prediction information from the function based on the first signal set, the at least one processor is further configured to obtain a plurality of outputs from a plurality of output ports of the function based on the CSI report from the second network node, wherein the prediction information is based on at least one of the plurality of outputs.

32. A first network node according to claim 31, wherein the prediction information includes at least one confidence score based on the at least one of the multiple outputs, wherein the at least one confidence score is associated with at least one second beam of the beam set, and wherein the determination of whether the at least one condition is met is based on the at least one confidence score.

33. A first network node according to claim 32, wherein the at least one confidence score indicates the reliability of at least one predicted value of the prediction information associated with the at least one second beam of the beam set, and wherein the at least one confidence score includes at least one of a standard deviation, a variability, a probability, or a likelihood.

34. The first network node of claim 33, wherein the at least one condition comprises a first condition that is satisfied when the at least one predicted value satisfies a first threshold, and further comprises a second condition that is satisfied when the at least one confidence score satisfies a second threshold.

35. A first network node according to claim 33, wherein the prediction information includes a highest number N of prediction values ​​among the at least one prediction value, and the prediction information also includes N confidence scores of the at least one confidence score corresponding to the N prediction values ​​of the at least one prediction value, and wherein the number N is configured via one of signaling or non-signaling configurations received from the second network node.

36. The first network node of claim 31 , wherein each of the plurality of output ports corresponds to at least one of a corresponding transmission configuration indicator (TCI) state or a corresponding reference signal identifier (ID), and wherein each of the plurality of output ports is associated with a corresponding ID of a corresponding condition of the at least one condition.

37. A first network node according to claim 36, wherein each of the multiple output ports is further associated with a corresponding reporting configuration, and the corresponding reporting configuration indicates a first set of resources for carrying the report, a second set of resources for carrying the second signal set, or at least one of a report amount to be indicated by the report.

38. The first network node of claim 31, wherein each of the plurality of output ports is associated with at least one of a corresponding CSI triggering state identifier (ID) or a corresponding ID of a corresponding reporting configuration.

39. The first network node of claim 38, wherein the at least one processor is further configured to send at least one of at least one radio resource control (RRC) message or at least one medium access control (MAC) control element (CE) to the second network node, the at least one indicating an association between each of the plurality of output ports and the at least one of the corresponding CSI trigger state ID or the corresponding ID of the corresponding reporting configuration.

40. The first network node of claim 38, wherein an association between each of the plurality of output ports and the at least one of the corresponding CSI triggering state ID or the corresponding ID of the corresponding reporting configuration is defined based on at least one rule.

41. A first network node according to claim 38, wherein each of the plurality of output ports is associated with a corresponding ID of one of a transmission configuration indicator (TCI) state or a reference signal, and wherein the second set of signals is received on a set of CSI-RS resources based on the corresponding ID of the one of the TCI state or the reference signal.

42. The first network node of claim 23, wherein the at least one processor is configured to receive the report on one of an aperiodic set of resources, a periodic set of resources, or a semi-persistent set of resources.

43. The first network node of claim 23, wherein the prediction information comprises at least one prediction value and an applicable timestamp associated with the at least one prediction value.

Images