Discontinuous channel state information processing unit occupation
Patent Information
- Application Number
- PCT/CN2025/085206
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-03-27
- Publication Date
- 2026-10-01
Smart Images

Figure CN2025085206_01102026_PF_FP_ABST
Abstract
Description
DISCONTINUOUS CHANNEL STATE INFORMATION PROCESSING UNIT OCCUPATIONFIELD OF THE DISCLOSURE
[0001] Aspects of the present disclosure generally relate to wireless communication and specifically relate to techniques, apparatuses, and methods associated with discontinuous channel state information processing unit occupation. DESCRIPTION OF THE RELATED TECHNOLOGY
[0002] Wireless communication systems are widely deployed to provide various services, which may involve carrying or supporting voice, text, other messaging, video, data, or other traffic. Typical wireless communication systems may employ multiple-access radio access technologies (RATs) capable of supporting communication among multiple wireless communication devices including user devices or other devices by sharing the available system resources (for example, time domain resources, frequency domain resources, spatial domain resources, or device transmit power, among other examples) . Such multiple-access RATs are supported by technological advancements that have been adopted in various telecommunication standards, which define common protocols that enable different wireless communication devices to communicate on a local, municipal, national, regional, or global level. An example telecommunication standard is New Radio (NR) . NR, which also may be referred to as 5G, is part of a continuous mobile broadband evolution promulgated by the Third Generation Partnership Project (3GPP) . As the demand for connectivity continues to increase, further improvements in NR may be implemented, and other RATs, such as 6G and beyond, may be introduced to enable new applications and facilitate new use cases.
[0003] In a wireless network, a user equipment (UE) may apply models for beam prediction. For example, the UE may use measurements from a first set of beams to predict measurements for a second set of beams. The UE may predict measurements across space (e.g., the first set of beams being wider than the second set of beams) or across time (e.g., predicting future measurements for the second set of beams using historic measurements of the first set of beams.SUMMARY
[0004] The systems, methods, and devices of this disclosure each have several innovative aspects, no single one of which is solely responsible for the desirable attributes disclosed herein.
[0005] Some aspects described herein relate to a method of wireless communication performed by a user equipment (UE) . The method may include receiving a configuration for a set of reference signal resources. The method may include receiving a configuration for a channel state information (CSI) report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource. The method may include performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CSI processing units (CPUs) at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion. The method may include transmitting the CSI report based at least in part on the set of measurements.
[0006] Some aspects described herein relate to a UE. The UE may include a processing system. The processing system may include one or more processors and one or more code-storing memories coupled with the one or more processors. The processing system may be configured to cause the UE to receive a configuration for a set of reference signal resources. The processing system may be configured to cause the UE to receive a configuration for a CSI report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource. The processing system may be configured to cause the UE to perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CPUs at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion. The processing system may be configured to cause the UE to transmit the CSI report based at least in part on the set of measurements.
[0007] Some aspects described herein relate to a non-transitory computer-readable medium that stores a set of instructions for wireless communication by a UE. The set of instructions, when executed by one or more processors of the UE, may cause the UE to receive a configuration for a set of reference signal resources. The set of instructions, when executed by one or more processors of the UE, may cause the UE to receive a configuration for a CSI report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource. The set of instructions, when executed by one or more processors of the UE, may cause the UE to perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CPUs at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion. The set of instructions, when executed by one or more processors of the UE, may cause the UE to transmit the CSI report based at least in part on the set of measurements.
[0008] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for receiving a configuration for a set of reference signal resources. The apparatus may include means for receiving a configuration for a CSI report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource. The apparatus may include means for performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CPUs at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion. The apparatus may include means for transmitting the CSI report based at least in part on the set of measurements.
[0009] Aspects of the present disclosure may generally be implemented by or as a method, apparatus, system, computer program product, non-transitory computer-readable medium, user equipment, network node, wireless communication device, or processing system as substantially described in the Detailed Description with reference to, and as illustrated by, the accompanying drawings. Details of one or more implementations of the subject matter described in this disclosure are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages will become apparent from the description, the drawings, and the claims. Note that the relative dimensions of the following figures may not be drawn to scale.BRIEF DESCRIPTION OF THE DRAWINGS
[0010] So that the above-recited features of the present disclosure can be understood in detail, a more particular description, briefly summarized above, may be had by reference to aspects, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only some aspects of this disclosure and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects. The same reference numbers in different drawings may identify the same or similar elements.
[0011] Fig. 1 is a diagram illustrating an example of a wireless communication network.
[0012] Fig. 2 is a diagram illustrating an example of artificial intelligence or machine learning based beam management.
[0013] Figs. 3A, 3B, and 3C are diagrams illustrating examples associated with scheduling channel state information (CSI) reports.
[0014] Figs. 4, 5, and 6 are diagrams illustrating examples associated with CSI processing unit (CPU) occupation rules.
[0015] Fig. 7 is a diagram illustrating an example associated with set level CPU occupation and resource level CPU occupation.
[0016] Figs. 8A and 8B are diagrams illustrating examples associated with duty cycle calculation.
[0017] Figs. 9A and 9B are diagrams illustrating examples associated with CPU occupation rules.
[0018] Fig. 10 is a diagram illustrating an example process performed, for example, by a user equipment.
[0019] Figs. 11 and 12 are diagrams of example apparatuses for wireless communication.DETAILED DESCRIPTION
[0020] In a wireless network, a user equipment (UE) may apply models for beam prediction. For example, the UE may use measurements from a first set of beams (also referred to as “Set B” beams) to predict measurements for a second set of beams (also referred to as “Set A” beams) . The UE may perform spatial beam prediction (e.g., the first set of beams being wider than the second set of beams) or temporal beam prediction (e.g., predicting future measurements for the second set of beams using historic measurements of the first set of beams) .
[0021] Generally, a UE performs measurements of the Set B beams and of the Set A beams during a data collection phase (in order to train a temporal beam prediction model) . Accordingly, a network may configure reference signals for the Set B beams and the Set A beams according to a periodicity. The network may use periodic (P) , semi-persistent (SP) , or aperiodic (AP) channel state information (CSI) reference signal (CSI-RS) configurations, for example.
[0022] Additionally, during an inference phase, the network may instruct the UE to generate predicted results (e.g., for the Set A beams) using historic measurements (e.g., of the Set B beams) and the temporal beam prediction model. In some cases, the network may request one or more predicted results for one or more prediction targets relative to a CSI reference resource (e.g., determined according to Third Generation Partnership Project (3GPP) specifications or another standard) . The network may configure a CSI report for the prediction target (s) using reference signal resources that were previously configured (e.g., as P, SP, or AP CSI resources) .
[0023] During measurement and reporting, the UE occupies CSI processing units (CPUs) . The UE generally has a maximum quantity of CPUs and may drop measurements and reports that would cause the UE to occupy more than the maximum quantity of CPUs. Because the reference signal resources for Set B beams may extend over a long period of time (e.g., hundreds of milliseconds (ms) ) , CPUs for measurement of the Set B beams may be occupied for a long time. As a result, the UE may be disallowed from additional measurements and reports, which wastes computing resources at the UE that otherwise would have been available.
[0024] Various aspects relate generally to occupying CPUs at a UE discontinuously across a set of measurement occasions for a CSI report for a set of prediction targets. Some aspects more specifically relate to CPUs at the UE being occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion.
[0025] Particular aspects of the subject matter described in this disclosure can be implemented to realize one or more of the following potential advantages. In some examples, the described techniques can be used to reduce CPU occupation time when a UE is not performing measurements or inference, which allows the UE to perform additional measurements or reports by using computing resources that would otherwise have been wasted. Additionally, the set of offset symbols allow the UE time to buffer, process, or otherwise use measurements after each measurement occasion.
[0026] 5G New Radio (NR) may support enhanced mobile broadband (eMBB) access, Internet of Things (IoT) networks or reduced capability (RedCap) device deployments, ultra-reliable low-latency communication (URLLC) applications, or massive machine-type communication (mMTC) , among other examples. To support these and other target verticals, a wireless communication system may be designed to implement a modularized functional infrastructure, a disaggregated and service-based network architecture, network function virtualization, network slicing, multi-access edge computing, millimeter wave (mmWave) technologies including massive multiple-input multiple-output (MIMO) , beamforming, IoT device or RedCap device connectivity and management, industrial connectivity, licensed and unlicensed spectrum access, sidelink and other device-to-device direct communication (for example, cellular vehicle-to-everything (CV2X) communication) , frequency spectrum expansion, overlapping spectrum use, small cell deployments, non-terrestrial network (NTN) deployments, device aggregation, advanced duplex communication (for example, sub-band full-duplex (SBFD) ) , multiple-subscriber implementations, high-precision positioning, radio frequency (RF) sensing, network energy savings (NES) , low-power signaling and radios, or artificial intelligence or machine learning (AI / ML) , among other examples.
[0027] The foregoing and other technological improvements may support use cases, such as wireless fronthauls, wireless midhauls, wireless backhauls, wireless data centers, extended reality (XR) and metaverse applications, meta services for supporting vehicle connectivity, holographic and mixed reality communication, autonomous and collaborative robots, vehicle platooning and cooperative maneuvering, sensing networks, gesture monitoring, human-brain interfacing, digital twin applications, asset management, and universal coverage applications using non-terrestrial or aerial platforms, among other examples.
[0028] The methods, operations, apparatuses, and techniques described herein may enable one or more of the foregoing technologies or new technologies or support one or more of the foregoing use cases or new use cases.
[0029] Fig. 1 is a diagram illustrating an example of a wireless communication network 100. The wireless communication network 100 may be or may include elements of a 5G network or a 6G network, among other examples. The wireless communication network 100 may include multiple network nodes 110. For example, in Fig. 1, the wireless communication network 100 includes multiple network nodes 110, including a network node 110a and a network node 110b (each of which also may be referred to herein simply as a “network node 110” ) . The network nodes 110 may support communications with multiple UEs 120. For example, in Fig. 1, the network nodes 110 support communication with a UE 120a, a UE 120b, and a UE 120c (each of which also may be referred to herein simply as a “UE 120” ) . In some examples, a UE 120 also may communicate with other UEs 120 and a network node 110 also may communicate with a core network and with other network nodes 110.
[0030] The network nodes 110 and the UEs 120 of the wireless communication network 100 communicate using the electromagnetic spectrum, which may be subdivided into various licensed or unlicensed operating bands, frequency ranges, component carriers, or channels that define associated frequencies available for communications. In some examples, each of the network nodes 110 and the UEs 120 may communicate using one or multiple component carriers in one or more operating bands or ranges. Typically, various operating bands are defined as frequency range designations FR1 (410 MHz through 7.125 GHz) , FR2 (24.25 GHz through 52.6 GHz) , FR3 (7.125 GHz through 24.25 GHz) , FR4a or FR4-1 (52.6 GHz through 71 GHz) , FR4 (52.6 GHz through 114.25 GHz) , and FR5 (114.25 GHz through 300 GHz) . Although a portion of FR1 is greater than 6 GHz, FR1 is often referred to (interchangeably) as a “sub-6 GHz” band in some documents and articles. Similarly, FR2 is often referred to (interchangeably) as a “millimeter wave” band in some documents and articles.
[0031] A network node 110 or a UE 120 may include one or more devices, components, or systems that enable communication with other devices, components, or systems of the wireless communication network 100. For example, a UE 120 and a network node 110 may each include one or more chips, system-on-chips (SoCs) , chipsets, packages, or devices that individually or collectively constitute or comprise a processing system. As shown in Fig. 1, each UE 120 includes a processing system 140 and each network node 110 includes a processing system 145. A processing system (for example, the processing system 140 or the processing system 145) includes processor (or “processing” ) circuitry in the form of one or multiple processors, microprocessors, processing units (such as central processing units, graphics processing units (GPUs) , neural processing units (NPUs) (also referred to as neural network processors or deep learning processors (DLPs) ) , or digital signal processors (DSPs) ) , processing blocks, application-specific integrated circuits (ASICs) , programmable logic devices (PLDs) , or other discrete gate or transistor logic or circuitry (any one or more of which may be generally referred to herein individually as a “processor” or collectively as “the processor” or “the processor circuitry” ) . Such processors may be individually or collectively configurable or configured to perform various functions or operations described herein. A group of processors collectively configurable or configured to perform a set of functions may include a first processor configurable or configured to perform a first function of the set and a second processor configurable or configured to perform a second function of the set. In some other examples, each of a group of processors may be configurable or configured to perform a same set of functions.
[0032] The processing system 140 and the processing system 145 may each include memory circuitry in the form of one or multiple memory devices, memory blocks, memory elements, or other discrete gate or transistor logic or circuitry, each of which may include or implement tangible storage media, such as random-access memory, or read-only memory, or combinations thereof (any one or more of which may be generally referred to herein individually as a “memory” or collectively as “the memory” or “the memory circuitry” ) . One or more of the memories may be coupled (for example, operatively coupled, communicatively coupled, electronically coupled, or electrically coupled) with one or more of the processors. One or more of the memories may individually or collectively store processor-executable code or instructions (such as software) (for example, which may be referred to as “one or more code-storing memories” or “code-storing memory circuitry” ) . For example, “code-storing memory” or “code-storing memory circuitry” refers to memory (or memory circuitry) that is configured to store processor-executable code or instructions. The processor-executable code or instructions, when executed by one or more of the processors, may configure one or more of the processors (or processing circuitry) to perform various functions or operations described herein. Additionally, or alternatively, in some examples, one or more of the processors may be configured to perform various functions or operations described herein without requiring configuration by software. Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executables, threads of execution, procedures, or functions, among other examples, whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.
[0033] The processing system 140 and the processing system 145 may each include or be coupled with one or more modems (such as a cellular (for example, a 5G or 6G compliant) modem) . In some examples, one or more processors of the processing system 140 or the processing system 145 may include or implement one or more of the modems. The processing system 140 and the processing system 145 also may include or be coupled with multiple radios (collectively “the radio” ) , multiple RF chains, or multiple transceivers, each of which may in turn be coupled with one or more of multiple antennas. In some examples, one or more processors of the processing system 140 or the processing system 145 may include or implement one or more of the radios, RF chains, or transceivers. An RF chain may include one or more filters, mixers, oscillators, amplifiers, analog-to-digital converters (ADCs) , or other devices that convert between an analog signal (such as for transmission or reception via an air interface) and a digital signal (such as for processing by the processing system 140 or by the processing system 145) .
[0034] A network node 110 and a UE 120 may each include one or multiple antennas or antenna arrays. Typical network nodes 110 and UEs 120 may include multiple antennas, which may be organized or structured into one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, or one or more antenna arrays, among other examples. As used herein, the term “antenna” can refer to one or more antennas, one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, or one or more antenna arrays. The term “antenna panel” can refer to a group of antennas (such as antenna elements) arranged in an array or panel, which may facilitate beamforming by manipulating parameters associated with the group of antennas. The term “antenna module” may refer to circuitry including one or more antennas as well as one or more other components (such as filters, amplifiers, or processors) associated with integrating the antenna module into a wireless communication device, such as the network node 110 and the UE 120.
[0035] A network node 110 may be, may include, or also may be referred to as an NR network node, a 5G network node, a 6G network node, a Node B, a gNB, an access point (AP) , a transmission reception point (TRP) , a network entity, a network element, a network equipment, or another type of device, component, or system included in a radio access network (RAN) . In various deployments, a network node 110 may be implemented as a single physical node (for example, a single physical structure) or may be implemented as two or more physical nodes (for example, two or more distinct physical structures) . For example, a network node 110 may be a device or system that implements a part of a radio protocol stack, a device or system that implements a full radio protocol stack (such as a full gNB protocol stack) , or a collection of devices or systems that collectively implement the full radio protocol stack. For example, and as shown, a network node 110 may be an aggregated network node having an aggregated architecture, meaning that the network node 110 may implement a full radio protocol stack that is physically and logically integrated within a single physical structure in the wireless communication network 100. For example, an aggregated network node 110 may include a single standalone base station or a single TRP that operates with a full radio protocol stack to enable or facilitate communication between a UE 120 and a core network of the wireless communication network 100.
[0036] Alternatively, a network node 110 may be a disaggregated network node 110 (sometimes referred to as a disaggregated base station) , having a disaggregated architecture, meaning that the network node 110 may operate with a radio protocol stack that is physically distributed or logically distributed among two or more nodes in the same geographic location or in different geographic locations. In some deployments, disaggregated network nodes 110 may be used in an integrated access and backhaul (IAB) network, in an open radio access network (O-RAN) (such as a network configuration in compliance with the O-RAN Alliance) , or in a virtualized radio access network (vRAN) , also known as a cloud radio access network (C-RAN) , to facilitate scaling by separating network functionality into multiple units or modules that can be individually deployed.
[0037] The disaggregated network nodes 110 of the wireless communication network 100 may include one or more central units (CUs) , one or more distributed units (DUs) , and one or more radio units (RUs) . A CU may host one or more higher layers, such as a radio resource control (RRC) layer, a packet data convergence protocol (PDCP) layer, and a service data adaptation protocol (SDAP) layer, among other examples. A CU can communicate with a core network either directly (for example, via a backhaul link) or indirectly (for example, via one or more disaggregated control units, such as a non-real-time (Non-RT) RAN intelligent controller (RIC) associated with a Service Management and Orchestration (SMO) framework or a near-real-time (Near-RT) RIC) . A DU may host one or more of a radio link control (RLC) layer, a medium access control (MAC) layer, or one or more higher physical (PHY) layers depending, at least in part, on a functional split, such as a functional split defined by the 3GPP. In some examples, a DU also may host a lower PHY layer that is configured to perform functions, such as a fast Fourier transform (FFT) , an inverse FFT (IFFT) , beamforming, or physical random access channel (PRACH) extraction and filtering, among other examples. An RU may perform RF processing functions or lower PHY layer functions, such as an FFT, an IFFT, beamforming, or PRACH extraction and filtering, among other examples, according to a functional split, such as a lower layer split (LLS) . In such an architecture, each RU can be operated to handle over the air (OTA) communication with one or more UEs 120. A CU may communicate with one or more DUs via respective midhaul links, such as via F1 interfaces. Each of the DUs may communicate with one or more RUs via respective fronthaul links. Each of the RUs may communicate with one or more UEs 120 via respective RF access links. In some deployments, a UE 120 may be simultaneously served by multiple RUs.
[0038] In some examples, a single network node 110 may include a combination of one or more CUs, one or more DUs, or one or more RUs. In some examples, a CU, a DU, or an RU may be implemented as a virtual unit, such as a virtual central unit (VCU) , a virtual distributed unit (VDU) , or a virtual radio unit (VRU) , among other examples, which may be implemented as a virtual network function, such as in a cloud deployment (for example, an open cloud (O-Cloud) platform) . An SMO framework may support RAN deployment and provisioning of non-virtualized and virtualized network elements.
[0039] In some examples, the wireless communication network 100 may be a heterogeneous network that includes network nodes 110 of various types. Different types of network nodes 110 may generally operate on the same or different operating bands, transmit at different power levels, or serve different coverage areas, each of which may be referred to as or associated with a particular cell 130 (for example, a cell 130a and a cell 130b) .
[0040] The UEs 120 may be physically dispersed throughout the coverage area of the wireless communication network 100, and each UE 120 may be stationary or mobile. A UE 120 may be, may include, or also may be referred to as an access terminal, a mobile station, a client device, or a subscriber unit. A UE 120 may be, include, or be coupled with a cellular phone (for example, a smart phone) , a personal digital assistant (PDA) , a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet, a camera, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (for example, a smart watch, smart clothing, smart glasses, a smart wristband, or smart jewelry) , a gaming device, an entertainment device (for example, a music device, a video device, or a satellite radio) , an XR device, a vehicular component or sensor, a smart meter or sensor, industrial manufacturing equipment, a Global Navigation Satellite System (GNSS) device (such as a Global Positioning System device or another type of positioning device) , an artificially intelligent robot or other device implementing artificial intelligence, a UE function of a network node, or any other suitable device or function that may communicate in the wireless communication network 100.
[0041] Some UEs 120 may be classified according to different categories in association with different complexities or different capabilities. UEs 120 in a first category may be associated with relatively low complexity or cost such as NB-IoT devices or eMTC UEs. UEs 120 in a second category may include higher complexity or cost devices, such as mission-critical IoT devices, baseline UEs, high-tier UEs, advanced UEs, full-capability UEs, or premium UEs that are capable of URLLC, eMBB, or precise positioning in the wireless communication network 100. A third category of UEs 120 may have mid-tier complexity or capabilities (for example, capabilities between that of the UEs 120 of the first category and the UEs 120 of the second category) . A UE 120 of the third category may be referred to as a reduced capability UE ( “RedCap UE” ) , a mid-tier UE, an NR-Light UE, or an NR-Lite UE, among other examples.
[0042] In some examples, a network node 110 may be, may include, or may operate as an RU, a TRP, or a base station that communicates with one or more UEs 120 via a radio access link (which may be referred to as a “Uu” link) . The radio access link may include a downlink and an uplink. “Downlink” (or “DL” ) refers to a communication direction from a network node 110 to a UE 120, and “uplink” (or “UL” ) refers to a communication direction from a UE 120 to a network node 110. Downlink and uplink resources may include time domain resources (for example, frames, subframes, slots, and symbols) , frequency domain resources (for example, frequency bands, component carriers (CCs) , subcarriers, resource blocks, and resource elements) , and spatial domain resources (for example, particular transmit directions or beams) .
[0043] Frequency domain resources may be subdivided into bandwidth parts (BWPs) . A BWP may be a block of frequency domain resources (for example, a continuous set of resource blocks (RBs) within a full component carrier bandwidth) that may be configured at a UE-specific level. A UE 120 may be configured with both an uplink BWP and a downlink BWP (which may be the same or different) . Each BWP may be associated with its own numerology (indicating a sub-carrier spacing (SCS) and cyclic prefix (CP) ) . A BWP may be dynamically configured or activated (for example, by a network node 110 transmitting a downlink control information (DCI) configuration to the one or more UEs 120) or reconfigured (for example, in real-time or near-real-time) according to changing network conditions in the wireless communication network 100 or specific requirements of one or more UEs 120. An active BWP defines the operating bandwidth of the UE 120 within the operating bandwidth of the serving cell.
[0044] As used herein, a downlink signal may be or include a reference signal, control information, or data. For example, downlink reference signals include a primary synchronization signal (PSS) , a secondary SS (SSS) , an SS block (SSB) (for example, that includes a PSS, an SSS, and a physical broadcast channel (PBCH) ) , a demodulation reference signal (DMRS) , a phase tracking reference signal (PTRS) , a tracking reference signal (TRS) , and a CSI-RS, among other examples. A downlink signal carrying control information or data may be transmitted via a downlink channel. Downlink channels may include one or more control channels for transmitting control information and one or more data channels for transmitting data. Downlink reference signals may be transmitted in addition to, or multiplexed with, downlink control channel communications or downlink data channel communications. A downlink control channel may be specifically used to transmit DCI from a network node 110 to a UE 120. DCI generally contains the information the UE 120 needs to identify RBs in a subsequent subframe and how to decode them, including a modulation and coding scheme (MCS) or redundancy version parameters. Different DCI formats carry different information, such as scheduling information in the form of downlink or uplink grants, slot format indicators (SFIs) , preemption indicators (PIs) , transmit power control (TPC) commands, hybrid automatic repeat request (HARQ) information, new data indicators (NDIs) , among other examples. A downlink data channel may be used to transmit downlink data (for example, user data associated with a UE 120) from a network node 110 to a UE 120. Downlink control channels may include physical downlink control channels (PDCCHs) , and downlink data channels may include physical downlink shared channels (PDSCHs) . Control information or data communications may be transmitted on a PDCCH and PDSCH, respectively. For example, a PDCCH can carry DCI, while a PDSCH can carry a MAC control element (MAC-CE) , an RRC message, or user data, among other examples. Each PDSCH may carry one or more transport blocks (TBs) of data.
[0045] As used herein, an uplink signal may include a reference signal, control information, or data. For example, uplink reference signals include a sounding reference signal (SRS) , a PTRS, and a DMRS, among other examples. An uplink signal carrying control information or data may be transmitted via an uplink channel. An uplink channel may include one or more control channels for transmitting control information and one or more data channels for transmitting data. Uplink reference signals may be transmitted in addition to, or multiplexed with, uplink control channel communications or uplink data channel communications. An uplink control channel may be specifically used to transmit uplink control information (UCI) from a UE 120 to a network node 110. An uplink data channel may be used to transmit uplink data (for example, user data associated with a UE 120) from a UE 120 to a network node 110. Uplink control channels may include physical uplink control channels (PUCCHs) , and uplink data channels may include physical uplink shared channels (PUSCHs) . Control information or data communications may be transmitted on a PUCCH and PUSCH, respectively. For example, a PUCCH can carry UCI, while a PUSCH can carry a MAC-CE, an RRC message, or user data, among other examples. UCI can include a scheduling request (SR) , HARQ feedback information (for example, a HARQ acknowledgement (ACK) indication or a HARQ negative acknowledgement (NACK) indication) , uplink power control information (for example, an uplink TPC parameter) , or CSI, among other examples. CSI can include a channel quality indicator (CQI) (indicative of downlink channel conditions to facilitate selection of transmission parameters, such as an MCS, by a network node 110) , a precoding matrix indicator (PMI) , a CSI-RS resource indicator (CRI) (for example, indicative of a beam used to transmit a CSI-RS) , an SS / PBCH resource block indicator (SSBRI) (for example, indicative of a beam used to transmit an SSB) , a layer indicator (LI) , a rank indicator (RI) , or measurement information (for example, a layer 1 (L1) -reference signal received power (RSRP) parameter, a received signal strength indicator (RSSI) parameter, a reference signal received quality (RSRQ) parameter, among other examples) which can be used for beam management, among other examples. Each PUSCH may carry one or more TBs of data.
[0046] The information (for example, data, control information, or reference signal information) transmitted by a network node 110 to a UE 120, or vice versa, may be represented as a sequence of binary bits that are mapped (for example, modulated) to an analog signal waveform (for example, a discrete Fourier transform (DFT) -spread-orthogonal frequency division multiplexing (OFDM) (DFT-s-OFDM) waveform or a CP-OFDM waveform) that is transmitted by the network node 110 or UE 120 over a wireless communication channel. In some examples, the network node 110 or the UE 120 (for example, using the processing system 145 or the processing system 140, respectively) may select an MCS (for example, an order of quadrature amplitude modulation (QAM) , such as 64-QAM, 128-QAM, or 256-QAM, among other examples) for a downlink signal or an uplink signal. For example, the network node 110 may select an MCS for a downlink signal in accordance with UCI received from the UE 120 or may transmit, to the UE 120, an indication of an MCS to be applied for an uplink signal.
[0047] A network node 110 or a UE 120 (such as by using the processing system 145 or the processing system 140, respectively, or one or more coupled modems) may perform signal processing on the information (such as filtering, amplification, modulation, digital-to-analog conversion, an IFFT operation, multiplexing, interleaving, mapping, or encoding, among other examples) to generate a processed signal in accordance with the selected MCS. In some examples, the network node 110 or the UE 120 (for example, using the processing system 145 or the processing system 140, respectively, or one or more coupled encoders or modems) may perform a channel coding operation or a forward error correction (FEC) operation to control errors in transmitted information. For example, the network node 110 or the UE 120 may perform an encoding operation to generate encoded information (such as by selectively introducing redundancy into the information, typically using an error correction code (ECC) , such as a polar code or a low-density parity-check (LDPC) code) . The network node 110 or the UE 120 (for example, using the processing system 145 or one or more modems) may further perform spatial processing (for example, precoding) on the encoded information to generate one or more processed or precoded signals for downlink or uplink transmission, respectively. In some examples, the network node 110a or the UE 120a may perform codebook-based precoding or non-codebook-based precoding. Codebook-based precoding may involve selecting a precoder (for example, a precoding matrix) using a codebook. For example, the network node 110a may provide precoding information indicating which precoder, defined by the codebook, is to be used by the UE 120a. Non-codebook-based precoding may involve selecting or deriving a precoder based on, or otherwise associated with, one or more downlink or uplink signal measurements. The network node 110a or the UE 120a may transmit the processed downlink or uplink signals, respectively, via one or more antennas.
[0048] The network node 110a or the UE 120a may receive uplink signals or downlink signals, respectively, via one or more antennas. The network node 110a or the UE 120a (for example, using the processing system 145 or the processing system 140, respectively, or one or more coupled modems) may perform signal processing (for example, in accordance with the MCS) on the received uplink or downlink signals, respectively (such as filtering, amplification, demodulation, analog-to-digital conversion, an FFT operation, demultiplexing, deinterleaving, de-mapping, equalization, interference cancellation, or decoding, among other examples) , to map the received signal (s) to a sequence of binary bits (for example, received information) that estimates the information transmitted by the network node 110 or the UE 120 via the downlink or uplink signals. The network node 110a or the UE 120a (for example, using the processing system 145 or the processing system 140, respectively, or a coupled decoder or one or more modems) may decode the received information (such as by using an ECC, a decoding operation, or an FEC operation) to detect errors or correct bit errors in the received information to generate decoded information. The decoded information may estimate the information transmitted via the downlink or uplink signals.
[0049] In some examples, a UE 120 and a network node 110 may perform MIMO communication. MIMO communication generally refers to transmitting or receiving multiple signals (such as multiple layers or multiple data streams) simultaneously over the same time and frequency resources. A network node 110 or a UE 120 may communicate using single-user MIMO or multi-user MIMO (MU-MIMO) , the latter of which being used by a network node 110 to simultaneously transmit signals to multiple UEs 120. MIMO techniques may involve spatial multiplexing (multi-layer transmission) or beamforming. To implement beamforming, the amplitudes or phases of signals transmitted via antenna elements may be modulated and shifted relative to each other (such as by manipulating a phase shift, a phase offset, or an amplitude) to generate one or more beams. For example, a network node 110 may generate one or more beams 160a, and a UE 120 may generate one or more beams 160b. The term “beam” may refer to a directional transmission of a wireless signal toward a receiving device or otherwise in a desired direction, a directional reception of a wireless signal from a transmitting device or otherwise in a desired direction, a direction associated with such a directional transmission or directional reception, a set of directional resources associated with a signal transmission or signal reception (for example, an angle of arrival, a horizontal direction, or a vertical direction) , or a set of parameters or resources associated with one or more aspects of a directional signal, among other examples.
[0050] In some examples, a network node 110 or a UE 120 may implement massive MIMO, which may be associated with an increased (for example, “massive” ) quantity of antennas at the network node 110 or at the UE 120, such as in a network implementing mmWave technology, which enables more precise beamforming or reduced interference. In some examples, the wireless communication network 100 may implement multi-TRP (mTRP) operation (including redundant transmission or reception on multiple TRPs) or non-coherent joint transmission (NC-JT) .
[0051] The network node 110 and the UE 120 may establish a communication link or beam pair, and otherwise increase reliability, throughput, signal strength, or other signal properties for MIMO communications, by performing beam management operations, such as an initial beam acquisition operation, a beam refinement operation, or a beam recovery operation. For example, an initial beam acquisition operation may involve the network node 110 transmitting signals (for example, SSBs or other signals) via respective beams (for example, of the beams 160 of the network node 110) and the UE 120 receiving and measuring the signal (s) via respective beams of multiple beams (for example, from the beams 160 of the UE 120) to identify a best beam (or beam pair) for communication between the UE 120 and the network node 110. A beam refinement operation may involve a first device (for example, the UE 120 or the network node 110) transmitting signal (s) via a subset of beams (for example, identified based on, or otherwise associated with, measurements reported as part of one or more other beam management operations) . A second device (for example, the network node 110 or the UE 120) may receive the signal (s) via a single beam (for example, to identify the best beam for communication from the subset of beams) . The beam (s) may be identified or defined via one or more spatial parameters, such as a transmission configuration indicator (TCI) state or a quasi co-location (QCL) parameter, among other examples.
[0052] Some aspects and techniques as described herein may be implemented, at least in part, using an artificial intelligence (AI) program (for example, referred to herein as an “AI / ML model” ) , such as a program that includes a machine learning (ML) model or an artificial neural network (ANN) model. The AI / ML model may be deployed at one or more devices 165 (for example, one or more network nodes 110, one or more UEs 120, one or more servers, or one or more components of a cloud computing network, among other examples) . For example, in a deployment in which AI / ML functionality is performed independently at a device 165, sometimes referred to as “overlay AI / ML, ” the AI / ML model (or an instance or portion of the AI / ML model) may be deployed at a UE 120 (for example, by the processing system 140) , a network node 110 (for example, by the processing system 145) , one or more servers, or one or more components of a cloud computing network, among other examples. Additionally, or alternatively, in a deployment where AI / ML functionality is coordinated between different devices 165, sometimes referred to as “coordinated AI / ML, ” or performed at all device and network layers, sometimes referred to as “native AI / ML, ” the AI / ML model (or an instance of the AI / ML model) may be deployed at multiple devices 165 (for example, a first portion of the AI / ML model may be deployed at a UE 120 and a second portion of the AI / ML model may be deployed at a network node 110) . In other examples of coordinated AI / ML or native AI / ML, a first AI / ML model may be deployed at a UE 120 and a second AI / ML model may be deployed at a network node 110. The AI / ML model (s) may be configured to enhance various aspects of the wireless communication network 100 (for example, to increase privacy, reliability, or efficient use of network bandwidth, or to reduce latency, among other examples) . For example, the AI / ML model (s) may be trained to identify patterns or relationships in data corresponding to the wireless communication network 100, a device, or an air interface, among other examples. The AI / ML model (s) may support operational decisions relating to one or more aspects associated with wireless communications devices, networks, or services.
[0053] Accordingly, in some examples, the AI / ML model (s) may enable AI-as-a-Service (for example, an end-to-end AI / ML service via a user plane) for use cases, such as a self-organizing network (SON) , minimization of drive test (MDT) , quality of experience (QoE) , positioning, sensing, predictive mobility, or traffic prediction, among other examples. In some examples, AI-as-a-Service use cases may include measurement collection reporting by a UE 120, device selection criteria (for example, according to a geographical area where measurements are to be collected or UE capabilities to be used to collected measurements) , or reporting configurations (for example, reporting parameters such as location, time, or sensor information, among other examples) . Additionally, or alternatively, the AI / ML model (s) may enable AI / ML procedures (for example, RAN-triggered service establishment, configuration, inferencing using UE-side or network-side models, performance monitoring or management, or capability signaling, among other examples) . Additionally, or alternatively, the AI / ML model (s) may enable RAN-based AI / ML services via one or more application program interfaces (APIs) or management interfaces for use cases, such as beam management, radio resource monitoring (RRM) relaxation, mobility prediction, load prediction, network energy savings, or coverage and capacity improvements, among other examples) .
[0054] In some aspects, the UE 120 may include a processing system 140 with a communication manager 150. As described in more detail elsewhere herein, the communication manager 150 may receive a configuration for a set of reference signal resources; may receive a configuration for a CSI report associated with a set of prediction targets, where the set of predication targets are later in time than a CSI reference resource; may perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, where a set of CPUs at the UE 120 are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; and may transmit the CSI report based at least in part on the set of measurements. Additionally, or alternatively, the communication manager 150 may perform one or more other operations described herein.
[0055] In some aspects, the network node 110 may include a processing system 145 with a communication manager 155. As described in more detail elsewhere herein, the communication manager 155 may transmit a configuration for a set of reference signal resources; may transmit a configuration for a CSI report associated with a set of prediction targets, where the configuration is based at least in part on a set of CPUs occupied at the UE 120; and may receive the CSI report for the set of prediction targets. Additionally, or alternatively, the communication manager 155 may perform one or more other operations described herein.
[0056] The network node 110, the processing system 145 of the network node 110, the UE 120, the processing system 140 of the UE 120, or any other component (s) of Fig. 1 may implement one or more techniques or perform one or more operations associated with discontinuous CPU occupation, as described in more detail elsewhere herein. For example, the processing system 145 of the network node 110, or the processing system 140 of the UE 120 may perform or direct operations of, for example, process 1000 of Fig. 10, or other processes as described herein (alone or in conjunction with one or more other processors) . Memory of the network node 110 may store data and program code (or instructions) for the network node 110. In some examples, the memory of the network node 110 may store data relating to a UE 120, such as RRC state information or a UE context. Memory of a UE 120 may store data and program code (or instructions) for the UE 120, such as context information. In some examples, the memory of the UE 120 or the memory of the network node 110 may include a non-transitory computer-readable medium storing a set of instructions for wireless communication. For example, the set of instructions, when executed by one or more processors (for example, of the processing system 145 or the processing system 140) of the network node 110, or the UE 120, may cause the one or more processors to perform process 1000 of Fig. 10, or other processes as described herein. In some examples, executing instructions may include running the instructions, converting the instructions, compiling the instructions, or interpreting the instructions, among other examples.
[0057] In some aspects, a UE (e.g., the UE 120 or apparatus 1100 of Fig. 11) may include means for receiving a configuration for a set of reference signal resources; means for receiving a configuration for a CSI report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource; means for performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CPUs at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; and means for transmitting the CSI report based at least in part on the set of measurements. The means for the UE to perform operations described herein may include, for example, one or more of communication manager 150, processing system 140, a radio, one or more RF chains, one or more transceivers, one or more antennas, one or more modems, a reception component (for example, reception component 1102 depicted and described in connection with Fig. 11) , or a transmission component (for example, transmission component 1104 depicted and described in connection with Fig. 11) , among other examples.
[0058] Fig. 2 is a diagram illustrating an example 200 of AI / ML based beam management. As shown in Fig. 2, an AI / ML model 210 may be deployed at or on a UE 120. For example, a model inference host (such as a model inference host) may be deployed at, or on, a UE 120. The AI / ML model 210 may enable the UE 120 to determine one or more inferences or predictions based on data input to the AI / ML model 210.
[0059] For example, as shown by reference number 215, an input to the AI / ML model 210 may include measurements associated with a first set of beams. For example, a network node 110 may transmit one or more signals using respective beams from the first set of beams. The UE 120 may perform measurements (e.g., L1 RSRP measurements or other measurements) of the first set of beams to obtain a first set of measurements. For example, each beam, from the first set of beams, may be associated with one or more measurements performed by the UE 120. The UE 120 may input the first set of measurements (e.g., L1 RSRP measurement values) into the AI / ML model 210 along with information associated with the first set of beams or a second set of beams, such as a beam direction (e.g., spatial direction) , beam width, beam shape, or other characteristics of the respective beams from the first set of beams or the second set of beams.
[0060] As shown by reference number 220, the AI / ML model 210 may output one or more predictions. The one or more predictions may include predicted measurement values (e.g., predicted L1 RSRP measurement values) associated with the second set of beams. This may reduce a quantity of beam measurements that are performed by the UE 120, thereby conversing power of the UE 120 and network resources that would have otherwise been used to measure all beams included in the first set of beams and the second set of beams. This type of prediction may be referred to as a codebook based spatial domain selection or prediction.
[0061] As another example, an output of the AI / ML model 210 may include a point-direction, an angle of departure (AoD) , and / or an angle of arrival (AoA) of a beam included in the second set of beams. This type of prediction may be referred to as a non-codebook based spatial domain selection or prediction. As another example, multiple measurement report or values, collected at different points in time, may be input to the AI / ML model 210. This may enable the AI / ML model 210 to output codebook based or non-codebook based predictions for a measurement value, an AoD, and / or an AoA, among other examples, of a beam at a future time. The output (s) of the AI / ML model 210, as described herein, may facilitate initial access procedures, secondary cell group (SCG) setup procedures, beam refinement procedures (e.g., a P2 beam management procedure or a P3 beam management procedure) , link quality or interference adaptation procedure, beam failure and / or beam blockage predictions, or radio link failure predictions, among other examples.
[0062] In some examples, the first set of beams may be referred to as Set B beams and the second set of beams may be referred to as Set A beams. In some examples, the first set of beams (e.g., the Set B beams) may be a subset of the second set of beams (e.g., the Set A beams) . In some other examples, the first set of beams and the second set of beams may be different beams or may be mutually exclusive sets. For example, the first set of beams (e.g., the Set B beams) may include wide beams (e.g., unrefined beams or beams having a beam width that satisfies a first threshold) and the second set of beams (e.g., the Set A beams) may include narrow beams (e.g., refined beams or beams having a beam width that satisfies a second threshold) . In one example, the AI / ML model 210 may perform spatial-domain beam predictions for beams included in the Set A beams based on measurement results of beams included in the Set B beams. As another example, the AI / ML model 210 may perform temporal beam prediction for beams included in the Set A beams based on historic measurement results of beams included in the Set B beams.
[0063] Generally, the UE 120 occupies CPUs during measurement of the Set B beams as well as during inference during the AI / ML model 210. However, because measurement occasions for the Set B beams may be spaced out in time, the UE 120 may occupy the CPUs at times during which measurements are not being performed. Accordingly, some aspects described herein allow the UE 120 to occupy the CPUs discontinuously (e.g., the CPUs are unoccupied between measurement occasions) . Additionally, or alternatively, some aspects described herein allow the UE 120 to occupy fewer CPUs during measurement and occupy more CPUs during inference (e.g., because inference is generally more computationally intensive than measurement) .
[0064] As indicated above, Fig. 2 is provided as an example. Other examples may differ from what is described with regard to Fig. 2.
[0065] Figs. 3A, 3B, and 3C are diagrams illustrating examples 300, 330, and 360, respectively, associated with scheduling CSI reports. The example 300 of Fig. 3A represents a periodic or semi-persistent CSI report (using periodic or semi-persistent Set B beams, such as CSI-RSs or SSBs, or using zero-power resources, such as CSI interference measurement (CSI-IM) resources) . Accordingly, a network node 110 may provide a configuration for the set B beams (e.g., using one or more RRC messages) and a configuration for the CSI report (e.g., using one or more RRC messages) . In some aspects, the network node 110 may activate the set B beams (e.g., using DCI) and / or activate uplink occasions for the CSI report (e.g., using DCI) .
[0066] As shown in Fig. 3A, a UE 120 may measure set B beams in measurement occasions 305-1 through 305-M (where M represents a total quantity of measurement occasions) that are earlier in time than a CSI reference resource associated with the CSI report. The UE 120 may perform inference using measurements of the set B beams for prediction targets 315-1 through 315-N (where N represents a total quantity of prediction targets) that are later in time than the CSI reference resource. The prediction targets 315-1 through 315-N may include CSI-RSs, SSBs, and / or non-transmitted targets. The UE 120 may transmit the CSI report (including results of the inference) in an uplink occasion 310. As further shown in Fig. 3A, the prediction targets 315-1 through 315-N may be later in time than the uplink occasion 310, and the measurement occasions 305-1 through 305-M may be earlier in time than the uplink occasion 310.
[0067] The example 330 of Fig. 3B represents an aperiodic CSI report (using periodic or semi-persistent Set B beams, such as CSI-RSs or SSBs, or zero-power resources, such as CSI-IM resources) . Accordingly, a network node 110 may provide a configuration for the set B beams (e.g., using one or more RRC messages) and a configuration for the CSI report (e.g., using DCI) . In some aspects, the network node 110 may activate the set B beams (e.g., using DCI) .
[0068] As shown in Fig. 3B, the UE 120 may measure set B beams in measurement occasions 305-1 through 305-M that are earlier in time than a CSI reference resource 340 associated with the CSI report. The UE 120 may perform inference using measurements of the set B beams for prediction targets 315-1 through 315-N that are later in time than the CSI reference resource 340. The prediction targets 315-1 through 315-N may include CSI-RSs, SSBs, and / or non-transmitted targets. The network node 110 may transmit a message 335 that triggers the CSI report. The UE 120 may transmit the CSI report (including results of the inference) in an uplink occasion 310 (e.g., indicated by the message 335) . As further shown in Fig. 3B, the prediction targets 315-1 through 315-N may be later in time than the uplink occasion 310, and the measurement occasions 305-1 through 305-M may be earlier in time than the uplink occasion 310. Additionally, at least one of the measurement occasions (e.g., measurement occasion 315-M) may be later in time than the message 335, while other measurement occasions (e.g., measurement occasion 315-m, where m is less than M) are earlier in time than the message 335.
[0069] The example 360 of Fig. 3C represents an aperiodic CSI report (using aperiodic Set B beams, such as CSI-RSs or SSBs, or zero-power resources, such as CSI-IM resources) . Accordingly, a network node 110 may provide a configuration for the set B beams (e.g., using DCI) and a configuration for the CSI report (e.g., using DCI) .
[0070] As shown in Fig. 3C, the network node 110 may transmit a message 365 that triggers the Set B beams as well as the CSI report. Accordingly, the UE 120 may measure set B beams in measurement occasions 370-1 through 370-M that are earlier in time than a CSI reference resource associated with the CSI report. The UE 120 may perform inference using measurements of the set B beams for prediction targets 315-1 through 315-N that are later in time than the CSI reference resource 340. The prediction targets 315-1 through 315-N may include CSI-RSs, SSBs, and / or non-transmitted targets. The UE 120 may transmit the CSI report (including results of the inference) in an uplink occasion 310 (e.g., indicated by the message 365) . As further shown in Fig. 3C, the prediction targets 315-1 through 315-N may be later in time than the uplink occasion 310, and the measurement occasions 305-1 through 305-M may be earlier in time than the uplink occasion 310. Additionally, the prediction targets 315-1 through 315-N and the measurement occasions 305-1 through 305-M may be later in time than the message 365.
[0071] As indicated above, Figs. 3A-3C are provided as examples. Other examples may differ from what is described with respect to Figs. 3A-3C. For example, the message 365 in Fig. 3C may be a plurality of messages.
[0072] Fig. 4 is a diagram illustrating an example 400 associated with CPU occupation rules. In Fig. 4, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report. The CSI report may be for a set of measurement resources (e.g., channel measurement resources (CMRs) or interference measurement resources (IMRs) ) that are associated with a set of reference signal resources (e.g., SSB resources, CSI-RS resources, or CSI-IM resources) including SB≥1 resources. The CSI report may be associated with a reportQuantity (e.g., as defined in 3GPP specifications) indicating a set of predicted channel characteristics (e.g., identifiers of the top K prediction targets with respect to signal strength and / or probability; predicted signal strengths for the top K prediction targets; probabilities of being a top 1 or top K prediction target; and / or confidence information, among other examples) associated with a set of prediction targets (e.g., SSB resources, CSI-RS resources, or non-transmitted targets) . The UE 120 may derive the set of predicted channel characteristics using a set of measurements across a set of measurement occasions including (where 1≤sB≤SB) measurement occasions. The set of measurement occasions are before (e.g., earlier in time than) a CSI reference resource with respect to a CSI reporting instance.
[0073] The example 400 of Fig. 4 represents a CPU occupation rule for the set of measurement occasions (e.g., measurement occasions 305-1 through 305-M) . The UE 120 may determine CPU occupation in a period starting from a first symbol of an earliest resource in an earliest measurement occasion across all reference signal resources and all measurement occasions (before a CSI reference resource) , until a last symbol of a latest resource in a latest measurement occasion across all reference signal resources and all measurement occasions (before the CSI reference resource) . As shown by reference number 410, the UE 120 may determine a set of CPUs to be occupied from a first symbol of an earliest resource in a measurement occasion (e.g., the measurement occasion 305-1, measurement occasion 305-2, or measurement occasion 305-3) , until a last offset symbol in a set of offset symbols (e.g., set of offset symbols 405) after a last symbol of a latest resource in the measurement occasion (e.g., the measurement occasion 305-1, the measurement occasion 305-2, or the measurement occasion 305-3, respectively) , except for a last measurement occasion (e.g., measurement occasion 305-M) in the set of measurement occasions. Accordingly, occupation of a set of CPUs (associated with the CSI report) is possible from a first symbol of an earliest resource in a measurement occasion until a last symbol of a latest resource in the same measurement occasion (associated with a same set of reference signal resources) , plus a certain number of offset symbols. As further shown in Fig. 4, the UE 120 may determine the set of CPUs to be unoccupied from the last offset symbol in the set of offset symbols, until a first symbol of an earliest resource in a subsequent measurement occasion (before the CSI reference resource) . Accordingly, occupation of the set of CPUs is impossible from a symbol, after the last symbol of the latest resource in a measurement occasion plus the certain number of offset symbols, until a symbol before a first symbol of an earliest resource in a subsequent measurement occasion (associated with a same set of reference signals resources) , unless another set of reference signal resources are scheduled during that period.
[0074] In some aspects, a number of offset symbols, included in the set of offset symbols 405, may be programmed into (or otherwise stored in a memory of) the UE 120. For example, the number of offset symbols may be preconfigured according to 3GPP specifications (e.g., as Z′3 or as a new variable Z′4, for example) or another standard. Additionally, or alternatively, the number of offset symbols may be based at least in part on a reporting delay time associated with the UE 120. For example, the UE 120 may transmit, and the network node 110 may receive, a capability report indicating the reporting delay time, and the number of offset symbols may be determined using a table, a formula, or another type of algorithm that converts the reporting delay time into a number of symbols. In some aspects, the number of offset symbols may be based at least in part on an SCS associated with the set of reference signal resources (e.g., associated with an active BWP) . For example, different numbers of offset symbols, for different SCSs, may be programmed into (or otherwise stored in a memory of) the UE 120. In another example, the reporting delay time (reported by the UE 120 and used to determine the number of offset symbols) may depend on the SCS.
[0075] Additionally, or alternatively, the number of offset symbols, included in the set of offset symbols 405, may be determined using a maximum number of offset symbols. For example, the UE 120 may ensure that the number of offset symbols is not larger than the maximum number of offset symbols. In some aspects, the maximum number of offset symbols may be based at least in part on an interval between measurement occasions in the set of measurement occasions. For example, the UE 120 may ensure that the number of offset symbols is not longer than the interval (or not longer than 80%of the interval or not longer than 60%of the interval, among other examples) . The set of measurement occasions may be dozens of ms apart (e.g., the interval being 20 ms long, 40 ms long, or 80 ms long, among other examples) , so the UE 120 may ensure that the number of offset symbols is significantly shorter (e.g., only a few ms at longest) .
[0076] The example 400 of Fig. 4 further represents a CPU occupation rule after the set of measurement occasions. As shown by reference number 415, the set of CPUs are further occupied from a symbol, after a last symbol of a latest resource in a latest measurement occasion (e.g., the measurement occasion 305-M) across all reference signal resources and all measurement occasions (before the CSI reference resource) , until a last symbol of an uplink occasion 310 carrying the CSI report.
[0077] In some aspects, the UE 120 may determine to apply the CPU occupation rule described in connection with Fig. 4 using a duty cycle, as described below in connection with Fig. 8A. In some aspects, the CPU occupation rule described in connection with Fig. 4 applies only to periodic or semi-persistent reference signal resources (e.g., as described in connection with Figs. 3A-3B) . Accordingly, for aperiodic reference signal resources (e.g., as described in connection with Fig. 3C) , the UE 120 may occupy the set of CPUs from a symbol, after a last symbol of DCI triggering the aperiodic reference signal resources, until a last symbol of an uplink occasions carrying the CSI report. Alternatively, the CPU occupation rule described in connection with Fig. 4 may further apply to aperiodic reference signal resources (e.g., as described in connection with Fig. 3C) .
[0078] By using techniques as described in connection with Fig. 4, the UE 120 increases time during which the set of CPUs are available for additional measurements or reports. As a result, the UE 120 avoids wasting computing resources (e.g., between measurement occasions or before DCI triggering a CSI report) .
[0079] As indicated above, Fig. 4 is provided as an example. Other examples may differ from what is described with respect to Fig. 4.
[0080] Fig. 5 is a diagram illustrating an example 500 associated with CPU occupation rules. In Fig. 5, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report. The CSI report may be for a set of measurement resources (e.g., CMRs or IMRs) that are associated with a set of reference signal resources (e.g., SSB resources, CSI-RS resources, or CSI-IM resources) including SB≥1 resources. The CSI report may be associated with a reportQuantity (e.g., as defined in 3GPP specifications) indicating a set of predicted channel characteristics (e.g., identifiers of the top K prediction targets with respect to signal strength and / or probability; predicted signal strengths for the top K prediction targets; probabilities of being a top 1 or top K prediction target; and / or confidence information, among other examples) associated with a set of prediction targets (e.g., SSB resources, CSI-RS resources, or non-transmitted targets) . The UE 120 may derive the set of predicted channel characteristics using a set of measurements across a set of measurement occasions including (where 1≤sB≤SB) measurement occasions. The set of measurement occasions are before (e.g., earlier in time than) a CSI reference resource with respect to a CSI reporting instance.
[0081] The example 500 of Fig. 5 shows an overlap between a first set of measurement occasions (e.g., measurement occasion 305-1 through 305-M) and a second set of measurement occasions (e.g., including at least measurement occasions 505-1 and 505-2) . As shown in Fig. 5, CPU occupation is calculated based on durations including CPU occupation from at least one of the set of measurement occasions. For example, as shown by reference number 410, an initial measurement occasion in the first set of measurement occasions (e.g., measurement occasion 305-1) results in CPU occupation from a first symbol of an earliest resource (in the measurement occasion 305-1) , until a last offset symbol in a set of offset symbols (e.g., set of offset symbols 405) after a last symbol of a latest resource (in the measurement occasion 305-1) . Similarly, as shown by reference number 415, the latest measurement occasion in the first set of measurement occasions (e.g., measurement occasion 305-M) results in CPU occupation from a last symbol of a latest resource (in the measurement occasion 305-M) , until a last symbol of an uplink occasion 310 carrying the CSI report.
[0082] Because of overlap between measurement occasion 305-2 of the first set of measurement occasions and measurement occasion 505-1 of the second set of measurement occasions, CPU occupation is from a first symbol of an earliest resource in the measurement occasion 505-1 until a last offset symbol, in the set of offset symbols 405, after a last symbol of a latest resource in the measurement occasion 305-2. Similarly, because of overlap between measurement occasion 305-3 of the first set of measurement occasions and measurement occasion 505-2 of the second set of measurement occasions, CPU occupation is from a first symbol of an earliest resource in the measurement occasion 305-3 until a last offset symbol, in the set of offset symbols 405, after a last symbol of a latest resource in the measurement occasion 505-2.
[0083] As indicated above, Fig. 5 is provided as an example. Other examples may differ from what is described with respect to Fig. 5.
[0084] Fig. 6 is a diagram illustrating an example 600 associated with CPU occupation rules. In Fig. 6, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report. The CSI report may be for a set of measurement resources (e.g., CMRs or IMRs) that are associated with a set of reference signal resources (e.g., SSB resources, CSI-RS resources, or CSI-IM resources) including SB≥1 resources. The CSI report may be associated with a reportQuantity (e.g., as defined in 3GPP specifications) indicating a set of predicted channel characteristics (e.g., identifiers of the top K prediction targets with respect to signal strength and / or probability; predicted signal strengths for the top K prediction targets; probabilities of being a top 1 or top K prediction target; and / or confidence information, among other examples) associated with a set of prediction targets (e.g., SSB resources, CSI-RS resources, or non-transmitted targets) . The UE 120 may derive the set of predicted channel characteristics using a set of measurements across a set of measurement occasions including (where 1≤sB≤SB) measurement occasions. The set of measurement occasions are before (e.g., earlier in time than) a CSI reference resource 605 with respect to a CSI reporting instance.
[0085] The example 600 of Fig. 6 represents a CPU occupation rule prior to the set of measurement occasions. As shown in Fig. 6, occupation of the set of CPUs is impossible before a first symbol of an earliest resource in an earliest measurement occasion, across all reference signal resources and all measurement occasions (e.g., across measurement occasions 610a and measurement occasions 610b) before the CSI reference resource 605, unless another set of reference signal resources are scheduled during such period. Therefore, the set of CPUs are unoccupied during period 635 in Fig. 6. The example 600 of Fig. 6 may be combined with the example 500 of Fig. 5.
[0086] As indicated above, Fig. 6 is provided as an example. Other examples may differ from what is described with respect to Fig. 6.
[0087] Fig. 7 is a diagram illustrating an example 700 associated with set level CPU occupation and resource level CPU occupation. In Fig. 7, similar to Fig. 4, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report. The CSI report may be for a set of measurement resources (e.g., CMRs and / or IMRs) that are associated with a set of reference signal resources (e.g., SSB resources, CSI-RS resources, and / or CSI-IM resources) including SB≥1 resources. The CSI report may be associated with a reportQuantity (e.g., as defined in 3GPP specifications) indicating a set of predicted channel characteristics (e.g., identifiers of the top K prediction targets with respect to signal strength and / or probability; predicted signal strengths for the top K prediction targets; probabilities of being a top 1 or top K prediction target; and / or confidence information, among other examples) associated with a set of prediction targets (e.g., SSB resources, CSI-RS resources, and / or non-transmitted targets) . The UE 120 may derive the set of predicted channel characteristics using a set of measurements across a set of measurement occasions including (where 1≤sB≤SB) measurement occasions. The set of measurement occasions are before (e.g., earlier in time than) a CSI reference resource 605 with respect to a CSI reporting instance.
[0088] Fig. 7 depicts a set of measurement occasions (e.g., starting with measurement occasion 705) prior to the CSI reference resource 605. For set level occupation, a set of CPUs associated with the CSI report are occupied from a first symbol of an earliest resource in a measurement occasion (e.g., resource 710a in the measurement occasion 705) until a last symbol of a latest resource in the same measurement occasion (e.g., resource 710d in the measurement occasion 705) associated with a same set of reference signal resources. By using set level occupation, the UE 120 may decrease computational complexity associated with occupation time for the set of CPUs.
[0089] For resource level occupation, the set of CPUs associated with the CSI report are occupied from a first symbol of any resource in any measurement occasion (e.g., resource 710a, resource 710b, resource 710c, or resource 710d) until a last symbol of the same resource, and during remaining durations the set of CPUs are unoccupied. By using resource level occupation, the UE 120 may further increase time during which the set of CPUs are available for additional measurements and / or reports.
[0090] In some aspects, the UE 120 may select between set level occupation and resource level using duty cycle, as described in connection with Fig. 8B.
[0091] As indicated above, Fig. 7 provided as an example. Other examples may differ from what is described with respect to Fig. 7.
[0092] Figs. 8A and 8B are diagrams illustrating examples 800 and 850, respectively, associated with duty cycle calculation. In Figs. 8A-8B, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report associated with a set of reference signal resources (e.g., SB reference signal resources) , across a set of measurement occasions, for a set of prediction targets.
[0093] In Fig. 8A, represents a duration associated with an sBth set of reference signal resources, starting from a first symbol of an earliest resource in a measurement occasion (e.g., measurement occasion 705) and ending at a last symbol of a latest resource in the same certain measurement occasion (associated with a same set of reference signal resources) . Additionally, represents a duration associated with the sBth set of reference signal resources, starting from a symbol after a last symbol of a latest resource in a measurement occasion (e.g., the measurement occasion 805) , until a symbol before a first symbol of an earliest resource in a subsequent measurement occasion (associated with a same set of reference signal resources) .
[0094] Therefore, the UE 120 may determine a duty cycle value as Accordingly, the UE 120 may determine to apply the CPU occupation rule described in connection with Fig. 4 based at least in part on whether the duty cycle value satisfies a discontinuous threshold. The value of the discontinuous threshold may be preconfigured (e.g., programmed into a memory of the UE 120 and a memory of the network node 110) , reported by the UE 120 (e.g., in a capability report) , and / or indicated by the network node 110.
[0095] In Fig. 8B, represents a duration associated with an sBth set of reference signal resources, starting from a first symbol of an earliest resource in a measurement occasion and ending at a last symbol of a latest resource in the same certain measurement occasion (associated with a same set of reference signal resources) . Additionally, represents a duration (e.g., a minimum, a maximum, or an average, among other examples) associated with the sBth set of reference signal resources, starting from a symbol after a last symbol of a non-latest resource in a measurement occasion and ending at a symbol before a first symbol of a subsequent resource in the same measurement occasion.
[0096] Therefore, the UE 120 may determine a duty cycle value as and / or Accordingly, the UE 120 may determine to apply resource level occupation as described in connection with Fig. 7 based at least in part on whether the duty cycle value satisfies a resource level threshold. The value of the resource level threshold may be preconfigured (e.g., programmed into a memory of the UE 120 and a memory of the network node 110) , reported by the UE 120 (e.g., in a capability report) , and / or indicated by the network node 110.
[0097] As indicated above, Figs. 8A-8B are provided as examples. Other examples may differ from what is described with respect to Figs. 8A-8B.
[0098] Figs. 9A and 9B are diagrams illustrating examples 900 and 950, respectively, associated with CPU occupation rules. In Figs. 9A-9B, a UE 120 may be scheduled (e.g., by a network node 110) with a CSI report. The CSI report may be for a set of measurement resources (e.g., CMRs and / or IMRs) that are associated with a set of reference signal resources (e.g., SSB resources, CSI-RS resources, and / or CSI-IM resources) including SB≥1 resources. The CSI report may be associated with a reportQuantity (e.g., as defined in 3GPP specifications) indicating a set of predicted channel characteristics (e.g., identifiers of the top K prediction targets with respect to signal strength and / or probability; predicted signal strengths for the top K prediction targets; probabilities of being a top 1 or top K prediction target; and / or confidence information, among other examples) associated with a set of prediction targets (e.g., SSB resources, CSI-RS resources, and / or non-transmitted targets) . The UE 120 may derive the set of predicted channel characteristics using a set of measurements across a set of measurement occasions including (where 1≤sB≤SB) measurement occasions. The set of measurement occasions are before (e.g., earlier in time than) a CSI reference resource with respect to an uplink occasion 310 carrying the CSI report.
[0099] As shown in Fig. 9A and by reference number 905, from a first symbol of an earliest resource in an earliest measurement occasion, across all sets of reference signal resources and all measurement occasions before the CSI reference resource, until a last symbol of a latest resource in a latest measurement occasion, across all sets of reference signal resources and all measurement occasions before the CSI reference resource, the UE 120 may occupy a first set of CPUs (e.g., including N1 CPUs) . In some aspects, the UE 120 may occupy the first set of CPUs discontinuously (e.g., as described in connection with Fig. 4, whether using set level occupation or resource level occupation, as described in connection with Fig. 7) .
[0100] Additionally, as shown by reference number 910, from a symbol after the last symbol of the latest resource in the latest measurement occasion, across all sets of reference signal resources and all measurement occasions before the CSI reference resource, until a last symbol of the uplink occasion 310, the UE 120 may occupy a second set of CPUs larger than the first set of CPUs (e.g., including N2>N1 CPUs) .
[0101] In some aspects, the CPU occupation rule described in connection with Fig. 9A applies only to periodic or semi-persistent CSI reports (e.g., as described in connection with Fig. 3A) . Accordingly, for aperiodic CSI reports (e.g., as described in connection with Figs. 3B-3C) , the UE 120 may apply the CPU occupation rule described below in connection with Fig. 9B. Alternatively, the CPU occupation rule described in connection with Fig. 9A may further apply to aperiodic CSI reports (e.g., as described in connection with Figs. 3B-3C) .
[0102] As shown in Fig. 9B, no CPUs are occupied from a symbol after the last symbol of the latest resource in the latest measurement occasion, across all sets of reference signal resources and all measurement occasions before the CSI reference resource, until a last symbol of DCI 955 triggering the CSI report. Additionally, as shown by reference number 915, from a symbol after the last symbol of the DCI 955, until a last symbol of the uplink occasion 310 carrying the CSI report, the UE 120 may occupy the second set of CPUs larger than the first set of CPUs (e.g., including N2>N1CPUs) .
[0103] In some aspects, the UE 120 may further occupy CPUs after the set of measurement occasions and before the DCI 955. For example, the first set of CPUs may be occupied starting from a symbol after a last symbol of a latest resource in a latest measurement occasion, across all sets of reference signal resources and all measurement occasions before the CSI reference resource, until a last symbol of the DCI 955 triggering the CSI report.
[0104] In some aspects, the first set of CPUs and the second set of CPUs are associated with a same total amount of CPUs available at the UE 120. For example, the UE 120 may report (e.g., in a capability message) a single total number of CPUs, from which N1 is subtracted and from which N2 is subtracted during respective occupations described in connection with Figs. 9A-9B. The single total number of CPUs may be reported on a per-cell (or per-CC) basis or across all cells (or CCs) .
[0105] Alternatively, the first set of CPUs may be associated with a first total amount of CPUs available at the UE 120, and the second set of CPUs may be associated with a second total amount of CPUs available at the UE 120. For example, when N1 CPUs are occupied, the UE 120 may deduct N1 CPUs from a first total number of CPUs. Additionally, when N2 CPUs are occupied, the UE 120 may deduct N1 CPUs from a first total number of CPUs and may deduct N2-N1 CPUs from a second total number of CPUs. CPUs associated with the second total may be referred to as “AI / ML processing units” or “beam prediction processing units. ” Each of the first total number of CPUs and the second total number of CPUs may be reported on a per-cell (or per-CC) basis or across all cells (or CCs) .
[0106] By using techniques as described in connection with Figs. 9A-9B, the UE 120 may increase CPUs that are available during measurement, which is less computationally intense than inference. As a result, the UE 120 avoids wasting computing resources (e.g., during measurement) .
[0107] As indicated above, Figs. 9A-9B are provided as examples. Other examples may differ from what is described with respect to Figs. 9A-9B.
[0108] Fig. 10 is a diagram illustrating an example process 1000 performed, for example, at a UE or an apparatus of a UE. Example process 1000 is an example where the apparatus or the UE (e.g., UE 120) performs operations associated with discontinuous CPU occupation.
[0109] As shown in Fig. 10, in some aspects, process 1000 may include receiving a configuration for a set of reference signal resources (block 1010) . For example, the UE (e.g., using reception component 1102 or communication manager 1106, depicted in Fig. 11) may receive a configuration for a set of reference signal resources, as described herein.
[0110] As further shown in Fig. 10, in some aspects, process 1000 may include receiving a configuration for a CSI report associated with a set of prediction targets that are later in time than a CSI reference resource (block 1020) . For example, the UE (e.g., using reception component 1102 or communication manager 1106) may receive a configuration for a CSI report associated with a set of prediction targets that are later in time than a CSI reference resource, as described herein.
[0111] As further shown in Fig. 10, in some aspects, process 1000 may include performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, where a set of CPUs are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion (block 1030) . For example, the UE (e.g., using reception component 1102 or communication manager 1106) may perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, where a set of CPUs are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion, as described herein.
[0112] As further shown in Fig. 10, in some aspects, process 1000 may include transmitting the CSI report based at least in part on the set of measurements (block 1040) . For example, the UE (e.g., using transmission component 1104 or communication manager 1106, depicted in Fig. 11) may transmit the CSI report based at least in part on the set of measurements, as described herein.
[0113] Process 1000 may include additional aspects, such as any single aspect or any combination of aspects described below or in connection with one or more other processes described elsewhere herein.
[0114] In a first aspect, a number of offset symbols included in the set of offset symbols is stored in a memory of the UE.
[0115] In a second aspect, alone or in combination with the first aspect, process 1000 includes transmitting (e.g., using transmission component 1104 or communication manager 1106) a capability report indicating a reporting delay time, where a number of offset symbols included in the set of offset symbols is based at least in part on the reporting delay time.
[0116] In a third aspect, alone or in combination with one or more of the first and second aspects, a number of offset symbols included in the set of offset symbols is based at least in part on an SCS associated with the set of reference signal resources.
[0117] In a fourth aspect, alone or in combination with one or more of the first through third aspects, a number of offset symbols included in the set of offset symbols is determined using a maximum number of offset symbols.
[0118] In a fifth aspect, alone or in combination with one or more of the first through fourth aspects, the maximum number of offset symbols is based at least in part on an interval between measurement occasions in the set of measurement occasions.
[0119] In a sixth aspect, alone or in combination with one or more of the first through fifth aspects, the set of CPUs are occupied from a last symbol of a latest reference signal resource in a latest measurement occasion in the set of measurement occasions until a last symbol of a message carrying the CSI report.
[0120] In a seventh aspect, alone or in combination with one or more of the first through sixth aspects, the set of reference signal resources includes an SSB, a CSI-RS, a CSI-IM resource, or a combination thereof.
[0121] In an eighth aspect, alone or in combination with one or more of the first through seventh aspects, the set of prediction targets includes an SSB or a CSI-RS.
[0122] In a ninth aspect, alone or in combination with one or more of the first through eighth aspects, the set of prediction targets includes non-transmitted targets.
[0123] In a tenth aspect, alone or in combination with one or more of the first through ninth aspects, process 1000 includes performing inference (e.g., using communication manager 1106) using the set of measurements to determine a set of predicted channel characteristics for the CSI report.
[0124] In an eleventh aspect, alone or in combination with one or more of the first through tenth aspects, the set of predicted channel characteristics comprises a set of top prediction targets in signal strength, a set of signal strength measurements for the one or more prediction targets, a set of probabilities associated with the one or more prediction targets, a set of confidence information associated with the one or more prediction targets, or a combination thereof.
[0125] In a twelfth aspect, alone or in combination with one or more of the first through eleventh aspects, the set of CPUs are unoccupied prior to an earliest resource of an earliest measurement occasion in the set of measurement occasions.
[0126] In a thirteenth aspect, alone or in combination with one or more of the first through twelfth aspects, the one or more reference signal resources are periodic or semi-persistent resources.
[0127] In a fourteenth aspect, alone or in combination with one or more of the first through thirteenth aspects, the one or more reference signal resources are aperiodic resources.
[0128] In a fifteenth aspect, alone or in combination with one or more of the first through fourteenth aspects, process 1000 includes receiving (e.g., using reception component 1102 or communication manager 1106) an additional configuration for a set of aperiodic reference signal resources, receiving (e.g., using reception component 1102 or communication manager 1106) an additional configuration triggering an additional CSI report associated with a set of additional prediction targets, where the set of additional predication targets are later in time than an additional CSI reference resource; performing an additional set of measurements (e.g., using reception component 1102 or communication manager 1106) , on the set of aperiodic reference signal resources, across a set of additional measurement occasions earlier in time than the additional CSI reference resource, where an additional set of CPUs at the UE are occupied from a last symbol of the additional configuration triggering the additional CSI report until a last symbol of a message carrying the CSI report; and transmitting (e.g., using transmission component 1104 or communication manager 1106) the additional CSI report based at least in part on the additional set of measurements.
[0129] In a sixteenth aspect, alone or in combination with one or more of the first through fifteenth aspects, the set of CPUs are occupied across all reference signal resources within each measurement occasion.
[0130] In a seventeenth aspect, alone or in combination with one or more of the first through sixteenth aspects, the set of CPUs are occupied from an initial symbol of each reference signal resource within each measurement occasion until a final symbol of the reference signal resource within the measurement occasion, and the set of CPUs are unoccupied between any reference signal resources within each measurement occasion.
[0131] In an eighteenth aspect, alone or in combination with one or more of the first through seventeenth aspects, the set of CPUs are unoccupied between any reference signal resources within each measurement occasion based at least in part on a length of each reference signal resource, a length between reference signal resources, or a combination thereof.
[0132] In a nineteenth aspect, alone or in combination with one or more of the first through eighteenth aspects, the set of CPUs are unoccupied, from the last offset symbol in the set of offset symbols until the first symbol of the earliest resource in the subsequent measurement occasion, based at least in part on a length of each measurement occasion, a length between measurement occasions, or a combination thereof.
[0133] In a twentieth aspect, alone or in combination with one or more of the first through nineteenth aspects, an additional set of CPUs, larger than the set of CPUs, are occupied from a last symbol of a latest reference signal resource in a latest measurement occasion in the set of measurement occasions until a last symbol of a message carrying the CSI report.
[0134] In a twenty-first aspect, alone or in combination with one or more of the first through twentieth aspects, an additional set of CPUs, larger than the set of CPUs, are occupied from a last symbol of the configuration triggering the CSI report until a last symbol of a message carrying the CSI report.
[0135] Although Fig. 10 shows example blocks of process 1000, in some aspects, process 1000 may include additional blocks, fewer blocks, different blocks, or differently arranged blocks than those depicted in Fig. 10. Additionally, or alternatively, two or more of the blocks of process 1000 may be performed in parallel.
[0136] Fig. 11 is a diagram of an example apparatus 1100 for wireless communication. The apparatus 1100 may be a UE, or a UE may include the apparatus 1100. In some aspects, the apparatus 1100 includes a reception component 1102, a transmission component 1104, or a communication manager 1106, which may be in communication with one another (for example, via one or more buses or one or more other components) . In some aspects, the communication manager 1106 is the communication manager 150 described in connection with Fig. 1. As shown, the apparatus 1100 may communicate with another apparatus 1108, such as a UE or a network node (such as a CU, a DU, an RU, or a base station) , using the reception component 1102 and the transmission component 1104. The communication manager 1106 may be included in, or implemented via, a processing system (for example, the processing system 140 described in connection with Fig. 1) of the UE.
[0137] In some aspects, the apparatus 1100 may be configured to perform one or more operations described herein in connection with Figs. 3A-3C, 4-7, 8A-8B, or 9A-9B. Additionally, or alternatively, the apparatus 1100 may be configured to perform one or more processes described herein, such as process 1000 of Fig. 10, or a combination thereof. In some aspects, the apparatus 1100 or one or more components shown in Fig. 11 may include one or more components of the UE described in connection with Fig. 1. Additionally, or alternatively, one or more components shown in Fig. 11 may be implemented within one or more components described in connection with Fig. 1. Additionally, or alternatively, one or more components of the set of components may be implemented at least in part as software stored in one or more memories. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the functions or operations of the component.
[0138] The reception component 1102 may receive communications, such as reference signals, control information, data communications, or a combination thereof, from the apparatus 1108. The reception component 1102 may provide received communications to one or more other components of the apparatus 1100. In some aspects, the reception component 1102 may perform signal processing on the received communications, and may provide the processed signals to the one or more other components of the apparatus 1100. In some aspects, the reception component 1102 may include one or more components of the UE described above in connection with Fig. 1, such as a radio, one or more RF chains, one or more transceivers, or one or more modems, each of which may in turn be coupled with one or more antennas of the UE.
[0139] The transmission component 1104 may transmit communications, such as reference signals, control information, data communications, or a combination thereof, to the apparatus 1108. In some aspects, one or more other components of the apparatus 1100 may generate communications and may provide the generated communications to the transmission component 1104 for transmission to the apparatus 1108. In some aspects, the transmission component 1104 may perform signal processing on the generated communications, and may transmit the processed signals to the apparatus 1108. In some aspects, the transmission component 1104 may include one or more components of the UE described above in connection with Fig. 1, such as a radio, one or more RF chains, one or more transceivers, or one or more modems, each of which may in turn be coupled with one or more antennas of the UE described in connection with Fig. 1. In some aspects, the transmission component 1104 may be co-located with the reception component 1102.
[0140] The communication manager 1106 may support operations of the reception component 1102 or the transmission component 1104. For example, the communication manager 1106 may receive information associated with configuring reception of communications by the reception component 1102 or transmission of communications by the transmission component 1104. Additionally, or alternatively, the communication manager 1106 may generate or provide control information to the reception component 1102 or the transmission component 1104 to control reception or transmission of communications.
[0141] In some aspects, the reception component 1102 may receive (e.g., from the apparatus 1108) a configuration for a set of reference signal resources. Additionally the reception component 1102 may receive (e.g., from the apparatus 1108) a configuration for a CSI report associated with a set of prediction targets, where the set of predication targets are later in time than a CSI reference resource. The reception component 1102 may perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, where a set of CPUs at the apparatus 1100 are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion. In some aspects, the transmission component 1104 may transmit (e.g., to the apparatus 1108) a capability report indicating a reporting delay time, and a number of offset symbols included in the set of offset symbols is based at least in part on the reporting delay time.
[0142] The transmission component 1104 may transmit (e.g., to the apparatus 1108) the CSI report based at least in part on the set of measurements. For example, the communication manager 1106 may perform inference using the set of measurements to determine a set of predicted channel characteristics for the CSI report.
[0143] In some aspects, the reception component 1102 may receive (e.g., from the apparatus 1108) an additional configuration for a set of aperiodic reference signal resources and an additional configuration triggering an additional CSI report associated with a set of additional prediction targets, where the set of additional predication targets are later in time than an additional CSI reference resource. Accordingly, the reception component 1102 may perform an additional set of measurements, on the set of aperiodic reference signal resources, across a set of additional measurement occasions earlier in time than the additional CSI reference resource, where an additional set of CPUs at the UE are occupied from a last symbol of the additional configuration triggering the additional CSI report until a last symbol of a message carrying the CSI report. The transmission component 1104 may transmit (e.g., to the apparatus 1108) the additional CSI report based at least in part on the additional set of measurements.
[0144] The number and arrangement of components shown in Fig. 11 are provided as an example. In practice, there may be additional components, fewer components, different components, or differently arranged components than those shown in Fig. 11. Furthermore, two or more components shown in Fig. 11 may be implemented within a single component, or a single component shown in Fig. 11 may be implemented as multiple, distributed components. Additionally, or alternatively, a set of (one or more) components shown in Fig. 11 may perform one or more functions described as being performed by another set of components shown in Fig. 11.
[0145] Fig. 12 is a diagram of an example apparatus 1200 for wireless communication. The apparatus 1200 may be a network node, or a network node may include the apparatus 1200. In some aspects, the apparatus 1200 includes a reception component 1202, a transmission component 1204, or a communication manager 1206, which may be in communication with one another (for example, via one or more buses or one or more other components) . In some aspects, the communication manager 1206 is the communication manager 155 described in connection with Fig. 1. As shown, the apparatus 1200 may communicate with another apparatus 1208, such as a UE or a network node (such as a CU, a DU, an RU, or a base station) , using the reception component 1202 and the transmission component 1204. The communication manager 1206 may be included in, or implemented via, a processing system (for example, the processing system 145 described in connection with Fig. 1) of the network node.
[0146] In some aspects, the apparatus 1200 may be configured to perform one or more operations described herein in connection with Figs. 3A-3C, 4-7, 8A-8B, or 9A-9B. Additionally, or alternatively, the apparatus 1200 may be configured to perform one or more processes described herein, or a combination thereof. In some aspects, the apparatus 1200 or one or more components shown in Fig. 12 may include one or more components of the network node described in connection with Fig. 1. Additionally, or alternatively, one or more components shown in Fig. 12 may be implemented within one or more components described in connection with Fig. 1. Additionally, or alternatively, one or more components of the set of components may be implemented at least in part as software stored in one or more memories. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the functions or operations of the component.
[0147] The reception component 1202 may receive communications, such as reference signals, control information, data communications, or a combination thereof, from the apparatus 1208. The reception component 1202 may provide received communications to one or more other components of the apparatus 1200. In some aspects, the reception component 1202 may perform signal processing on the received communications, and may provide the processed signals to the one or more other components of the apparatus 1200. In some aspects, the reception component 1202 may include one or more components of the network node described above in connection with Fig. 1, such as a radio, one or more RF chains, one or more transceivers, or one or more modems, each of which may in turn be coupled with one or more antennas of the network node. In some aspects, the reception component 1202 or the transmission component 1204 may include or may be included in a network interface. The network interface may be configured to obtain or output signals for the apparatus 1200 via one or more communications links, such as a backhaul link, a midhaul link, or a fronthaul link.
[0148] The transmission component 1204 may transmit communications, such as reference signals, control information, data communications, or a combination thereof, to the apparatus 1208. In some aspects, one or more other components of the apparatus 1200 may generate communications and may provide the generated communications to the transmission component 1204 for transmission to the apparatus 1208. In some aspects, the transmission component 1204 may perform signal processing on the generated communications, and may transmit the processed signals to the apparatus 1208. In some aspects, the transmission component 1204 may include one or more components of the network node described above in connection with Fig. 1, such as a radio, one or more RF chains, one or more transceivers, or one or more modems, each of which may in turn be coupled with one or more antennas of the network node described in connection with Fig. 1. In some aspects, the transmission component 1204 may be co-located with the reception component 1202.
[0149] The communication manager 1206 may support operations of the reception component 1202 or the transmission component 1204. For example, the communication manager 1206 may receive information associated with configuring reception of communications by the reception component 1202 or transmission of communications by the transmission component 1204. Additionally, or alternatively, the communication manager 1206 may generate or provide control information to the reception component 1202 or the transmission component 1204 to control reception or transmission of communications.
[0150] In some aspects, the transmission component 1204 may transmit (e.g., to the apparatus 1208) a configuration for a set of reference signal resources. Additionally, the transmission component 1204 may transmit (e.g., to the apparatus 1208) a configuration for a CSI report associated with a set of prediction targets, where the set of prediction targets are later in time than a CSI reference resource.
[0151] The configuration may be based at least in part on a set of CPUs occupied at the apparatus 1208. For example, the set of CPUs occupied at the apparatus 1208 may be discontinuous with the set of reference signal resources (e.g., as described herein) and / or may include different amounts of CPUs for measurement as compared with inference (e.g., as described herein) .
[0152] In any aspects described above, the reception component 1202 may receive (e.g., from the apparatus 1208) the CSI report for the set of prediction targets.
[0153] The number and arrangement of components shown in Fig. 12 are provided as an example. In practice, there may be additional components, fewer components, different components, or differently arranged components than those shown in Fig. 12. Furthermore, two or more components shown in Fig. 12 may be implemented within a single component, or a single component shown in Fig. 12 may be implemented as multiple, distributed components. Additionally, or alternatively, a set of (one or more) components shown in Fig. 12 may perform one or more functions described as being performed by another set of components shown in Fig. 12.
[0154] The following provides an overview of some Aspects of the present disclosure:
[0155] Aspect 1: A method of wireless communication performed by a user equipment (UE) , comprising: receiving a configuration for a set of reference signal resources; receiving a configuration for a channel state information (CSI) report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource; performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CSI processing units (CPUs) at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; and transmitting the CSI report based at least in part on the set of measurements.
[0156] Aspect 2: The method of Aspect 1, wherein a number of offset symbols included in the set of offset symbols is stored in a memory of the UE.
[0157] Aspect 3: The method of any of Aspects 1-2, further comprising: transmitting a capability report indicating a reporting delay time, wherein a number of offset symbols included in the set of offset symbols is based at least in part on the reporting delay time.
[0158] Aspect 4: The method of any of Aspects 1-3, wherein a number of offset symbols included in the set of offset symbols is based at least in part on a subcarrier spacing (SCS) associated with the set of reference signal resources.
[0159] Aspect 5: The method of any of Aspects 1-4, wherein a number of offset symbols included in the set of offset symbols is determined using a maximum number of offset symbols.
[0160] Aspect 6: The method of Aspect 5, wherein the maximum number of offset symbols is based at least in part on an interval between measurement occasions in the set of measurement occasions.
[0161] Aspect 7: The method of any of Aspects 1-6, wherein the set of CPUs are occupied from a last symbol of a latest reference signal resource in a latest measurement occasion in the set of measurement occasions until a last symbol of a message carrying the CSI report.
[0162] Aspect 8: The method of any of Aspects 1-7, wherein the set of reference signal resources comprises a synchronization signal block (SSB) , a CSI reference signal (CSI-RS) , a CSI interference measurement (CSI-IM) resource, or a combination thereof.
[0163] Aspect 9: The method of any of Aspects 1-8, wherein the set of prediction targets comprises a synchronization signal block (SSB) or a CSI reference signal (CSI-RS) .
[0164] Aspect 10: The method of any of Aspects 1-9, wherein the set of prediction targets comprises non-transmitted targets.
[0165] Aspect 11: The method of any of Aspects 1-10, further comprising: performing inference using the set of measurements to determine a set of predicted channel characteristics for the CSI report.
[0166] Aspect 12: The method of Aspect 11, wherein the set of predicted channel characteristics comprises a set of top prediction targets in signal strength, a set of signal strength measurements for the one or more prediction targets, a set of probabilities associated with the one or more prediction targets, a set of confidence information associated with the one or more prediction targets, or a combination thereof.
[0167] Aspect 13: The method of any of Aspects 1-12, wherein the set of CPUs are unoccupied prior to an earliest resource of an earliest measurement occasion in the set of measurement occasions.
[0168] Aspect 14: The method of any of Aspects 1-13, wherein the one or more reference signal resources are periodic or semi-persistent resources.
[0169] Aspect 15: The method of any of Aspects 1-14, wherein the one or more reference signal resources are aperiodic resources.
[0170] Aspect 16: The method of any of Aspects 1-14, further comprising receiving an additional configuration for a set of aperiodic reference signal resources; receiving an additional configuration triggering an additional CSI report associated with a set of additional prediction targets, wherein the set of additional predication targets are later in time than an additional CSI reference resource; performing an additional set of measurements, on the set of aperiodic reference signal resources, across a set of additional measurement occasions earlier in time than the additional CSI reference resource, wherein an additional set of CPUs at the UE are occupied from a last symbol of the additional configuration triggering the additional CSI report until a last symbol of a message carrying the CSI report; and transmitting the additional CSI report based at least in part on the additional set of measurements.
[0171] Aspect 17: The method of any of Aspects 1-16, wherein the set of CPUs are occupied across all reference signal resources within each measurement occasion.
[0172] Aspect 18: The method of any of Aspects 1-16, wherein the set of CPUs are occupied from an initial symbol of each reference signal resource within each measurement occasion until a final symbol of the reference signal resource within the measurement occasion, and the set of CPUs are unoccupied between any reference signal resources within each measurement occasion.
[0173] Aspect 19: The method of Aspect 18, wherein the set of CPUs are unoccupied between any reference signal resources within each measurement occasion based at least in part on a length of each reference signal resource, a length between reference signal resources, or a combination thereof.
[0174] Aspect 20: The method of any of Aspects 1-19, wherein the set of CPUs are unoccupied, from the last offset symbol in the set of offset symbols until the first symbol of the earliest resource in the subsequent measurement occasion, based at least in part on a length of each measurement occasion, a length between measurement occasions, or a combination thereof.
[0175] Aspect 21: The method of any of Aspects 1-20, wherein an additional set of CPUs, larger than the set of CPUs, are occupied from a last symbol of a latest reference signal resource in a latest measurement occasion in the set of measurement occasions until a last symbol of a message carrying the CSI report.
[0176] Aspect 22: The method of any of Aspects 1-20, wherein an additional set of CPUs, larger than the set of CPUs, are occupied from a last symbol of the configuration triggering the CSI report until a last symbol of a message carrying the CSI report.
[0177] Aspect 23: An apparatus for wireless communication at a device, comprising a processor; memory coupled with the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform the method of one or more of Aspects 1-22.
[0178] Aspect 24: A device for wireless communication, comprising a memory and one or more processors coupled to the memory, the one or more processors configured to perform the method of one or more of Aspects 1-22.
[0179] Aspect 25: An apparatus for wireless communication, comprising at least one means for performing the method of one or more of Aspects 1-22.
[0180] Aspect 26: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method of one or more of Aspects 1-22.
[0181] Aspect 27: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform the method of one or more of Aspects 1-22.
[0182] It will be apparent that systems or methods described herein may be implemented in different forms of hardware or a combination of hardware and software. A component being configured to perform a function means that the component has a capability to perform the function, and does not require the function to be actually performed by the component, unless noted otherwise.
[0183] As used herein, the term “determine” or “determining” can encompass one or more of a wide variety of actions. For example, “determining” can include one or more of calculating, computing, processing, deriving, detecting, estimating, investigating, looking up, inferring, ascertaining, measuring, resolving, selecting, choosing, obtaining, identifying, interpreting, demodulating, decoding, reading, establishing, forming or generating, among other examples. In some such examples, determining can involve a processor performing some type of calculating, computing, deriving, estimating, inferring, ascertaining, resolving, predicting or other processing to obtain one or more numerical values, sets, elements or other information or results. In some other such examples, determining can involve a processor identifying, looking up, investigating or otherwise obtaining some type of value, set, element or other information or result from a table, a data structure, a database or other memory device or location. In some other such examples, determining can involve a processor identifying, interpreting, demodulating, decoding, detecting, reading or otherwise obtaining some type of value, set, element or other information or result signaled in, for example, a received wireless packet. In some other such examples, determining can involve a processor selecting or choosing one or more values, sets, elements or other information or results from a larger set of values, sets elements or other information or results. In some other such examples, determining can involve a processor performing a measurement, such as on a received signal.
[0184] As used herein, the articles “a” and “an” are intended to refer to one or more items and may be used interchangeably with “one or more” or “at least one. ” As used herein, a phrase referring to “at least one of” or “one or more of” a list of items refers to any combination of those items, including single members. As an example, “at least one of: a, b, or c” is intended to cover: a, b, c, a-b, a-c, b-c, and a-b-c. Additionally, as used herein, a phrase referring to “a” or “an” element refers to one or more of such elements acting individually or collectively to perform the recited function (s) . Additionally, as used herein, a “set” can refer to one or more items, and a “subset” can refer to a whole set or less than the whole set, but not an empty set. “Set, ” “group, ” and similar terms are intended to include one or more items and may be used interchangeably with “one or more. ” Furthermore, as used herein, the term “or” is intended to be interpreted in the inclusive sense (such as when referring to a series) and may be used interchangeably with “and / or, ” unless otherwise explicitly indicated (for example, if used in conjunction with “either” or “only one of” ) . For example, “A or B” may include A only, B only, or a combination of A and B. Also, as used herein, the terms “has, ” “have, ” “having, ” “comprise, ” “comprising, ” “include” and “including, ” and derivatives thereof or similar terms are intended to be open-ended terms that do not limit an element that they modify (for example, an element “having” A also may have B) .
[0185] As used herein, the phrase “associated with” is intended to be interpreted in the inclusive sense, unless otherwise explicitly indicated. For example, the phrase “associated with” is not to be construed as a reference to a closed set of conditions, factors, criteria, elements, components, or actions, among other examples. Specifically, unless a phrase refers to “associated with only ‘a, ’ ” or the equivalent in context, whatever it is that is “associated with ‘a, ’ ” may be associated with “a” alone or associated with a combination of “a” and one or more other conditions, factors, criteria, elements, components, or actions, among other examples. In various examples, the phrase “associated with” may be interpreted to mean “in association with, ” “in accordance with, ” “based on, ” “based at least in part on, ” “as a function of, ” “in response to, ” “responsive to, ” or “using” as appropriate in the relevant context unless otherwise explicitly indicated. Furthermore, what follows the phrase “associated with, ” “in association with, ” “in accordance with, ” “based on, ” “based at least in part on, ” “as a function of, ” “in response to, ” “responsive to, ” or “using” is not necessarily the focal point or primary factor associated with the limitation preceding the phrase.
[0186] As used herein, “satisfying a threshold” may, depending on the context, refer to a value being greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, or not equal to the threshold, among other examples.
[0187] Even though particular combinations of features are recited in the claims or disclosed in the specification, these combinations are not intended to limit the scope of all aspects described herein. Many of these features may be combined in ways not specifically recited in the claims or disclosed in the specification. The disclosure of various aspects includes each dependent claim in combination with every other claim in the claim set.
Claims
1.A user equipment (UE) , comprising:a processing system that includes one or more processors and one or more code-storing memories coupled with the one or more processors, the processing system configured to cause the UE to:receive a configuration for a set of reference signal resources;receive a configuration for a channel state information (CSI) report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource;perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CSI processing units (CPUs) at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; andtransmit the CSI report based at least in part on the set of measurements.2.The UE of claim 1, wherein a number of offset symbols included in the set of offset symbols is stored in a memory of the UE.3.The UE of claim 1, wherein the processing system is configured to cause the UE to:transmit a capability report indicating a reporting delay time,wherein a number of offset symbols included in the set of offset symbols is based at least in part on the reporting delay time.4.The UE of claim 1, wherein a number of offset symbols included in the set of offset symbols is based at least in part on a subcarrier spacing (SCS) associated with the set of reference signal resources.5.The UE of claim 1, wherein a number of offset symbols included in the set of offset symbols is determined using a maximum number of offset symbols.6.The UE of claim 5, wherein the maximum number of offset symbols is based at least in part on an interval between measurement occasions in the set of measurement occasions.7.The UE of claim 1, wherein the set of CPUs are occupied from a last symbol of a latest reference signal resource in a latest measurement occasion in the set of measurement occasions until a last symbol of a message carrying the CSI report.8.The UE of claim 1, wherein the set of reference signal resources comprises a synchronization signal block (SSB) , a CSI reference signal (CSI-RS) , a CSI interference measurement (CSI-IM) resource, or a combination thereof.9.The UE of claim 1, wherein the set of prediction targets comprises a synchronization signal block (SSB) or a CSI reference signal (CSI-RS) .10.The UE of claim 1, wherein the set of prediction targets comprises non-transmitted targets.11.The UE of claim 1, wherein the processing system is configured to cause the UE to:perform inference using the set of measurements to determine a set of predicted channel characteristics for the CSI report.12.The UE of claim 11, wherein the set of predicted channel characteristics comprises a set of top prediction targets in signal strength, a set of signal strength measurements for the one or more prediction targets, a set of probabilities associated with the one or more prediction targets, a set of confidence information associated with the one or more prediction targets, or a combination thereof.13.The UE of claim 1, wherein the set of CPUs are unoccupied prior to an earliest resource of an earliest measurement occasion in the set of measurement occasions.14.The UE of claim 1, wherein the processing system is configured to cause the UE to:receive an additional configuration for a set of aperiodic reference signal resources;receive an additional configuration triggering an additional CSI report associated with a set of additional prediction targets, wherein the set of additional predication targets are later in time than an additional CSI reference resource;perform an additional set of measurements, on the set of aperiodic reference signal resources, across a set of additional measurement occasions earlier in time than the additional CSI reference resource, wherein an additional set of CPUs at the UE are occupied from a last symbol of the additional configuration triggering the additional CSI report until a last symbol of a message carrying the CSI report; andtransmit the additional CSI report based at least in part on the additional set of measurements.15.The UE of claim 1, wherein the set of CPUs are occupied across all reference signal resources within each measurement occasion.16.The UE of claim 1, wherein the set of CPUs are occupied from an initial symbol of each reference signal resource within each measurement occasion until a final symbol of the reference signal resource within the measurement occasion, and the set of CPUs are unoccupied between any reference signal resources within each measurement occasion.17.The UE of claim 18, wherein the set of CPUs are unoccupied between any reference signal resources within each measurement occasion based at least in part on a length of each reference signal resource, a length between reference signal resources, or a combination thereof.18.The UE of claim 1, wherein the set of CPUs are unoccupied, from the last offset symbol in the set of offset symbols until the first symbol of the earliest resource in the subsequent measurement occasion, based at least in part on a length of each measurement occasion, a length between measurement occasions, or a combination thereof.19.A method of wireless communication performed by a user equipment (UE) , comprising:receiving a configuration for a set of reference signal resources;receiving a configuration for a channel state information (CSI) report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource;performing a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CSI processing units (CPUs) at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; andtransmitting the CSI report based at least in part on the set of measurements.20.A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising:one or more instructions that, when executed by one or more processors of a user equipment (UE) , cause the UE to:receive a configuration for a set of reference signal resources;receive a configuration for a channel state information (CSI) report associated with a set of prediction targets, wherein the set of predication targets are later in time than a CSI reference resource;perform a set of measurements, on the set of reference signal resources, across a set of measurement occasions earlier in time than the CSI reference resource, wherein a set of CSI processing units (CPUs) at the UE are occupied from a first symbol of an earliest resource in each measurement occasion until a last offset symbol in a set of offset symbols after a last symbol of a latest resource in the measurement occasion, and the set of CPUs are unoccupied from the last offset symbol in the set of offset symbols until a first symbol of an earliest resource in a subsequent measurement occasion; andtransmit the CSI report based at least in part on the set of measurements.