User equipment recommendation for channel measurement resources in user equipment-based beam prediction

Abstract

Various aspects of the present disclosure are generally related to wireless communications. In some aspects, a user equipment (UE) may receive configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used to predict measurements for the one or more CPRs. The UE may perform measurements of one or more first CMRs. The UE may transmit a first CSI report including a first predicted measurement associated with the one or more CPRs, the first predicted measurement being in accordance with a measurement of the one or more first CMRs. The UE may send an indication of one or more second CMRs to be used to predict measurements for the one or more CPRs. Numerous other aspects are described.

Description

Technical Field

[0001] In general, various aspects of this disclosure relate to wireless communication, and more specifically to techniques and apparatus for UE recommendation of channel measurement resources in beam prediction based on user equipment (UE). Background Technology

[0002] Wireless communication systems are widely deployed to provide a variety of telecommunications services, such as telephone, video, data, messaging, and broadcasting. Typical wireless communication systems may employ multiple access technologies capable of supporting communication with multiple users by sharing available system resources (e.g., bandwidth or transmit power). Examples of such multiple access technologies include Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems, Frequency Division Multiple Access (FDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single Carrier Frequency Division Multiple Access (SC-FDMA) systems, Time Division Synchronous Code Division Multiple Access (TD-SCDMA) systems, and Long Term Evolution (LTE). LTE / Improved LTE is an enhanced set of the Universal Mobile Telecommunications System (UMTS) mobile standard released by the 3rd Generation Partnership Project (3GPP).

[0003] The above multiple access technologies have been adopted in various telecommunications standards to provide a common protocol that enables different user equipment (UEs) to communicate at the city, country, region, or global level. New Radio (NR) (also known as 5G) is an enhancement set to the LTE mobile standard released by 3GPP. NR is designed to better integrate with other open standards by improving spectrum efficiency, reducing costs, improving service, utilizing new spectrum, and using Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) on the downlink (CP-OFDM) and CP-OFDM or Single Carrier Frequency Division Multiplexing (SC-FDM) (also known as Discrete Fourier Transform Spread Spectrum OFDM (DFT-s-OFDM)) on the uplink, as well as supporting beamforming, multiple-input multiple-output (MIMO) antenna technologies and carrier aggregation, thereby better supporting mobile broadband internet access. As the demand for mobile broadband access continues to grow, further improvements to LTE, NR, and other radio access technologies remain useful.

[0004] Wireless networks can operate at higher frequency bands, such as within the millimeter-wave band, to provide high data rates. In some examples, wireless devices, such as network nodes and UEs, can communicate with each other using beamforming techniques to increase communication speed and reliability. Beamforming allows wireless devices to transmit signals in a specific direction, rather than omnidirectionally in all directions. In some examples, wireless devices can use a common wavelength and phase for transmission from multiple antenna elements to transmit signals from multiple antenna elements, and the signals from multiple antenna elements can be combined to create a combined signal with a longer range and a more directional beam. The beamwidth of the signal can vary based on the transmission frequency. For example, higher frequency bands allow wireless devices to form narrower beam structures compared to beam structures formed using lower frequency bands. Furthermore, higher frequency bands can provide a larger available bandwidth. The transmission path of a narrower beam may be more likely to be tailored to the receiver, making the transmission more likely to meet line-of-sight (LOS) conditions, as the narrower beam is more likely to reach the receiver without being blocked by obstacles. Moreover, because the transmission path is likely to be narrow, reflections and / or refractions are less likely to occur with a narrower beam.

[0005] While higher frequency bands can offer narrower beamforms and higher transmission rates, they may also experience higher attenuation and diffraction losses, with LOS path obstruction potentially degrading wireless link quality. Therefore, wireless communication using higher frequency bands may be more susceptible to environmental changes compared to communication using lower frequency bands. Beam management procedures can be performed by the UE and / or network nodes to select the optimal beam or beam pair for communication between the UE and network node. However, because higher frequency bands are likely more susceptible to environmental changes than lower frequency bands, beam management procedures may need to be performed more frequently and / or with additional beams. This can introduce significant overhead and consume network, processing, and / or power resources of the UE (and / or network node) associated with performing beam management procedures. Summary of the Invention

[0006] Some aspects described herein relate to an apparatus for wireless communication at a user equipment (UE). The apparatus may include: one or more memories storing processor-readable code, and one or more processors coupled to the one or more memories. At least one of the one or more processors may be configured to cause the UE to: receive configuration information from a network node, the configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used for predicting measurements for the one or more CPRs. At least one of the one or more processors may be configured to cause the UE to perform measurements on the one or more first CMRs. At least one of the one or more processors may be configured to cause the UE to: send a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements on the one or more first CMRs. At least one of the one or more processors may be configured to cause the UE to send an indication to the network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0007] Some aspects described herein relate to an apparatus for wireless communication at a network node. The apparatus may include: one or more memories storing processor-executable code, and one or more processors coupled to the one or more memories. At least one of the one or more processors may be configured to cause the network node to: send configuration information to a UE indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. At least one of the one or more processors may be configured to cause the network node to: receive from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. At least one of the one or more processors may be configured to cause the network node to receive from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0008] Some aspects described herein relate to a method for performing wireless communication at a UE. The method may include: receiving configuration information from a network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The method may include: performing measurements on the one or more first CMRs. The method may include: sending a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The method may include: sending an indication to the network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0009] Some aspects described herein relate to a method for wireless communication performed at a network node. The method may include: sending configuration information to a UE indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The method may include: receiving from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The method may include: receiving from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0010] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication of a UE. When executed by one or more processors of the UE, the set of instructions causes the UE to: receive configuration information from a network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. When executed by one or more processors of the UE, the set of instructions causes the UE to perform measurements on the one or more first CMRs. When executed by one or more processors of the UE, the set of instructions causes the UE to: send a first CSI report to a network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements on the one or more first CMRs. When executed by one or more processors of the UE, the set of instructions causes the UE to: send an indication to a network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0011] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a network node. When executed by one or more processors of the network node, the set of instructions causes the network node to: send configuration information to a UE indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. When executed by one or more processors of the network node, the set of instructions causes the network node to: receive from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. When executed by one or more processors of the network node, the set of instructions causes the network node to: receive from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0012] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: a unit for receiving configuration information from a network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The apparatus may include: a unit for performing measurements on the one or more first CMRs. The apparatus may include: a unit for sending a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The apparatus may include: a unit for sending to the network node an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0013] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include: a unit for transmitting configuration information to a UE, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The apparatus may include: a unit for receiving from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The apparatus may include: a unit for receiving from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0014] Aspects generally include methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network nodes, network entities, wireless communication devices, or processing systems as fully described with reference to the accompanying drawings and description and as shown by the accompanying drawings and description.

[0015] The features and technical advantages of examples according to this disclosure have been outlined quite extensively above to facilitate a better understanding of the following detailed description. Additional features and advantages will be described below. The disclosed concepts and specific examples can be readily used as the basis for modifying or designing other structures for achieving the same purpose as this disclosure. Such equivalent constructions do not depart from the scope of protection of the appended claims. The characteristics of the concepts disclosed herein (both their organization and manner of operation) and their associated advantages will be better understood when considered in conjunction with the accompanying drawings, based on the description below. Each drawing is provided for illustrative and descriptive purposes and not as a limitation of the definitions in the claims. Attached Figure Description

[0016] To gain a more detailed understanding of the foregoing features of this disclosure, a more specific description of the invention, briefly summarized above, can be obtained by referring to various aspects, some of which are illustrated in the accompanying drawings. However, it should be noted that the drawings illustrate only certain typical aspects of this disclosure and should not be considered as limiting its scope, as the description may allow for other equivalent aspects. The same reference numerals in different drawings may identify the same or similar elements.

[0017] Figure 1 This is a diagram illustrating an example of a wireless network according to this disclosure.

[0018] Figure 2 This is a diagram illustrating an example network node communicating with a user equipment (UE) in a wireless network according to this disclosure.

[0019] Figure 3 This is a diagram illustrating an example of a beam management process according to this disclosure.

[0020] Figure 4 This is a diagram illustrating an example architecture of a functional framework for enabling radio access network intelligence through data collection, according to this disclosure.

[0021] Figure 5 This is a diagram illustrating an example of AI / machine learning-based beam management according to this disclosure.

[0022] Figures 6A-6D This is a diagram illustrating an example of UE recommendation associated with Channel Measurement Resources (CMR) in UE-based beam prediction, according to this disclosure.

[0023] Figure 7 This is a flowchart illustrating an example process performed by a UE that supports CMR in UE-based beam prediction, according to the present disclosure.

[0024] Figure 8 This is a flowchart illustrating an example process performed by a network node that supports CMR in UE-based beam prediction, according to the present disclosure.

[0025] Figures 9-10 This is a diagram of an example device for wireless communication that supports CMR for UE in UE-based beam prediction, based on the present disclosure. Detailed Implementation

[0026] The various aspects of this disclosure are described more fully below with reference to the accompanying drawings. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function given throughout this disclosure. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey to those skilled in the art the scope of protection of this disclosure. It will be understood by those skilled in the art that the scope of this disclosure is intended to cover any aspect of this disclosure disclosed herein, whether implemented independently of or in combination with any other aspect of this disclosure. For example, any number of aspects set forth herein may be used to implement an apparatus or practice. Furthermore, the scope of this disclosure is intended to cover such apparatus or methods practiced using structures, functions, or structures and functions other than or different from the aspects of this disclosure set forth herein. Any aspect of this disclosure disclosed herein may be embodied by one or more elements of the claims.

[0027] Several aspects of a telecommunications system will now be described with reference to various devices and techniques. These devices and techniques will be described in detail below and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, or algorithms (collectively, “elements”). These elements can be implemented using hardware, software, or a combination of hardware and software. Whether such an element is implemented as hardware or software depends on the specific application and the design constraints imposed on the system as a whole.

[0028] In some examples, artificial intelligence (AI) and / or machine learning (ML) (AI / ML) can be used by user equipment (UE) and / or network nodes for beam management. For example, the AI / ML model can be deployed at or on the UE and / or at or on the network node, and the AI / ML model enables the UE and / or network node to determine one or more inferences or predictions based on data input to the AI / ML model. In some examples, the input to the AI / ML model can include measurements associated with a first beam set (e.g., Layer 1 (L1) Reference Signal Received Power (RSRP) measurement). For example, the UE can perform measurements associated with the first beam set, and the UE can input these measurements into the AI / ML model. The AI / ML model can output one or more predictions. One or more predictions can include predicted measurements associated with a second beam set (e.g., predicted L1 RSRP measurements). This can reduce the number of beam measurements performed by the UE, thereby saving power and / or network resources that would otherwise be used to measure all beams included in both the first and second beam sets.

[0029] In some examples, the first set of beams (e.g., the beams being measured) may be referred to as set B beams, and the second set of beams (e.g., the beams associated with the predicted measurement) may be referred to as set A beams. In some examples, set B beams may be a subset of set A beams. For example, set B beams may be spatially downsampled beams of set A beams. In some other examples, set B beams and set A beams may be different beams and / or may be mutually exclusive sets. In some examples, set B beams may be fixed over time and / or may follow a set or predictable pattern. For example, at various time-domain measurement points, set B beams to be measured by the UE to facilitate the prediction of measurements of set A beams may be fixed or may follow a set pattern.

[0030] In an example where the UE performs beam measurement prediction (e.g., using an AI / ML model deployed at the UE), the network node can determine the selection of set B beams to be measured by the UE. In some examples, a fixed set of set B beams used over time may degrade the performance of predictions made by the AI / ML model (e.g., deployed at the UE). For example, one or more beams included in set B beams may be associated with beam blocking, interference, or another intermediate factor that degrades the performance of signals transmitted via one or more beams. For example, higher frequency bands may encounter higher attenuation and diffraction loss, where line-of-sight (LOS) path obstruction may degrade radio link quality. Therefore, a fixed set of set B beams used over time may result in inaccurate or degraded performance predictions for measurements of beams included in set A. In some examples, the network node can determine a pattern for changing set B beams at different time-domain measurement times. For example, the network node may instruct the UE to use a semi-random pattern for selecting set B beams at different time-domain measurement times or different sets of Channel Measurement Resources (CMR) associated with different time-domain measurement times. In some examples, information available at the UE can improve the selection of set B beams and lead to increased accuracy in predicted measurements of set A beams (such as information related to UE mobility, orientation, location, and / or capabilities). However, such information may not be available at the network node and therefore not used by the network node to determine the selection of set B beams.

[0031] These aspects generally involve UE-based beam prediction. More specifically, some aspects involve UE recommendations for CMRs to be measured for UE-based predictions of beam measurements. In some aspects, the UE may receive configuration information from a network node indicating one or more Channel Prediction Resources (CPRs) associated with a Channel State Information (CSI) report. A CPR may be a resource corresponding to a beam (e.g., set A beams) for predicted measurements to be reported in the CSI report. The configuration may also indicate a first CMR to be used for predicting measurements for the CPR. For example, the first CMR may correspond to a first set of set B beams. The UE may perform measurements on the first CMR, and the UE may predict measurements for the CPR based on or otherwise associated with the measurements on the first CMR (e.g., using an AI / ML model deployed at the UE). The UE may send a first CSI report to the network node including the predicted measurements for the CPR, and the UE may send an indication to the network node of one or more second CMRs to be used for predicting measurements for the CPR. For example, the second CMR may be a CMR recommended by the UE for use by the UE to predict measurements for CPR at one or more subsequent time-domain measurement opportunities (e.g., a CMR corresponding to a recommended set of B beams). In some examples, the indication of the second CMR may be included in a Media Access Control (MAC) control element (MAC-CE) sent from the UE to the network node. In some examples, the indication of the second CMR may be included in a first CIS report used to indicate a predicted measurement value for CPR determined using measurements of the first CMR. In some examples, the UE may combine sending the indication of the second CMR with performing the measurement of the second CMR, and the UE may send a second CSI report to the network node indicating a predicted measurement value for CPR determined based on or otherwise associated with the measurement of the second CMR (e.g., using an AI / ML model deployed at the UE).

[0032] Specific aspects of the subject matter described in this disclosure can be implemented to achieve one or more of the following potential advantages. In some examples, the described techniques can be used to enable UE recommendations for CMRs (e.g., corresponding to set B beams) to be used for UE-based predictions of measurements for CPRs (e.g., corresponding to set A beams). In some examples, information regarding the selection of CMRs to be used for beam measurement prediction (e.g., information relating to UE mobility, orientation, location, and / or capabilities, etc.) can be improved to be available to the UE but not to the network node. Therefore, by enabling the UE to recommend CMRs (e.g., corresponding to set B beams) for beam measurement prediction, the described techniques can be used to improve the selection of CMRs, resulting in increased accuracy of predicted measurements for CPRs (e.g., predicted measurements associated with set A beams).

[0033] Figure 1 This is a diagram illustrating an example of a wireless network according to this disclosure. Wireless network 100 may be or may include elements of a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, as well as other examples. Wireless network 100 may include one or more network nodes 110 (shown as network node (NN) 110a, network node 110b, network node 110c, and network node 110d), UE 120 or multiple UE 120s (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), or other network entities. Network node 110 is the entity that communicates with UE 120. As shown, network node 110 may include one or more network nodes. For example, network node 110 may be an aggregated network node, meaning that the aggregated network node is configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or cell). As another example, network node 110 can be a decomposed network node (sometimes referred to as a decomposed base station), which means that network node 110 is configured to utilize a protocol stack that is physically or logically distributed among two or more nodes, such as one or more central units (CUs), one or more distributed units (DUs), or one or more radio units (RUs).

[0034] In some examples, network node 110 is or includes network nodes (such as RUs) that communicate with UE 120 via radio access links. In some examples, network node 110 is or includes network nodes (such as DUs) that communicate with other network nodes 110 via fronthaul or midhaul links. In some examples, network node 110 is or includes network nodes (such as CUs) that communicate with other network nodes 110 via midhaul links or with the core network via backhaul links. In some examples, network node 110 (such as aggregated network node 110 or decomposed network node 110) may include multiple network nodes, such as one or more RUs, one or more CUs, or one or more DUs. Network node 110 may include, for example, NR network nodes, LTE network nodes, Node Bs, eNBs (e.g., in 4G), gNBs (e.g., in 5G), access points, or Transmit / Receive Points (TRPs), DUs, RUs, CUs, network mobility elements, core network nodes, network elements, network equipment, and / or RAN nodes. In some examples, network nodes 110 can interconnect with each other or with one or more other network nodes 110 in wireless network 100 using any suitable transport network through various types of forward, mid-range, or backhaul interfaces such as direct physical connections, air interfaces, or virtual networks.

[0035] Each network node 110 can provide communication coverage for a specific geographic area. In the 3rd Generation Partnership Project (3GPP), the term "cell" can refer to the coverage area of ​​network node 110 or the network node subsystem serving that coverage area, depending on the context in which the term is used.

[0036] Network node 110 can provide communication coverage for macrocells, picocells, femtocells, or another type of cell. A macrocell can cover a relatively large geographic area (e.g., a radius of several kilometers) and can allow unrestricted access by UE 120 with service subscriptions. A picocell can cover a relatively small geographic area and can allow unrestricted access by UE 120 with service subscriptions. A femtocell can cover a relatively small geographic area (e.g., a residential area) and can allow restricted access by UE 120 associated with that femtocell (e.g., UE 120 in a Closed User Group (CSG)). Network node 110 for macrocells can be referred to as a macro network node. Network node 110 for picocells can be referred to as a pico network node. Network node 110 for femtocells can be referred to as a femto network node or an intranet network node. Figure 1In the example shown, network node 110a can be a macro network node for macro cell 102a, network node 110b can be a pico network node for pico cell 102b, and network node 110c can be a femto network node for femto cell 102c.

[0037] In some aspects, the term "base station" or "network node" can refer to an aggregated base station, a decomposed base station, an integrated access and backhaul (IAB) node, a relay node, or one or more components thereof. For example, in some aspects, "base station" or "network node" can refer to a CU, DU, RU, near real-time (near RT) RAN intelligent controller (RIC), and / or a non-real-time (non-RT) RIC. In some aspects, the term "base station" or "network node" can refer to a device configured to perform one or more functions (such as those described herein in conjunction with network node 110). In some aspects, the term "base station" or "network node" can refer to multiple devices configured to perform one or more functions. For example, in some distributed systems, each of multiple different devices (which may be located in the same geographical location or different geographical locations) can be configured to perform at least a portion of the functions, or to replicate the performance of at least a portion of the functions, and the term "base station" or "network node" can refer to any one or more of those different devices. In some aspects, the term "base station" or "network node" can refer to one or more virtual base stations or one or more virtual base station functions. For example, in some aspects, two or more base station functions can be instantiated on a single device. In some aspects, the term "base station" or "network node" may refer to one base station function rather than another. In this way, a single device can include more than one base station.

[0038] Network controller 130 may be coupled to or communicate with a set of network nodes 110, and may provide coordination and control for these network nodes 110. Network controller 130 may communicate with network nodes 110 via a backhaul communication link. Network nodes 110 may communicate with each other directly or indirectly via wireless or wired backhaul communication links. In some aspects, network controller 130 may be a CU or a core network device, or network controller 130 may include a CU or a core network device.

[0039] Wireless network 100 may include one or more relay stations. A relay station is an entity that can receive data transmissions from an upstream station (e.g., network node 110 or UE 120) and transmit the data transmissions to a downstream station (e.g., UE 120 or network node 110). A relay station may be a UE 120 that can relay transmissions for other UE 120s. Figure 1In the example shown, network node 110d (e.g., a relay network node) can communicate with network node 110a (e.g., a macro network node) and UE 120d to facilitate communication between network node 110a and UE 120d. The network node 110 that relays communication can be referred to as a relay station, relay network node, or repeater.

[0040] UE 120 may be distributed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, an access terminal, a terminal, a mobile station, or a user unit. UE 120 may be a cellular phone (e.g., a smartphone), 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 device, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smartwatch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or smart bracelet)), an entertainment device (e.g., a music device, a video device, or a satellite radio unit), a vehicle component or sensor, a smart meter / sensor, industrial manufacturing equipment, a GPS device, the UE function of a network node, or any other suitable device configured to communicate via a wireless medium.

[0041] Some UEs 120 can be considered Machine-Type Communication (MTC) or Evolved or Enhanced Machine-Type Communication (eMTC) UEs. MTC or eMTC UEs may include, for example, robots, drones, remote devices, sensors, meters, monitors, or location tags that can communicate with network nodes, another device (e.g., a remote device), or some other entity. Some UEs 120 can be considered Internet of Things (IoT) devices or may be implemented as NB-IoT (Narrowband IoT) devices. Some UEs 120 can be considered customer premises equipment. UEs 120 can be included within a housing that houses the components of the UE 120, such as processor components or memory components. In some examples, the processor components and memory components may be coupled together. For example, the processor components (e.g., one or more processors) and memory components (e.g., memory) may be operatively coupled, communicatively coupled, electronically coupled, or electrically coupled.

[0042] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more sidelink channels (e.g., without using network node 110 as an intermediary for communication with each other). For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), or vehicle-to-pedestrian (V2P) protocols), or a mesh network. In such examples, UE 120 may perform scheduling operations, resource selection operations, or other operations described herein as being performed by network node 110.

[0043] Devices in Wireless Network 100 can communicate using the electromagnetic spectrum, which can be subdivided into various categories, bands, or channels by frequency or wavelength. For example, devices in Wireless Network 100 can communicate using one or more operating bands. In 5G NR, two initial operating bands have been designated as frequency range names FR1 (410 MHz - 7.125 GHz) and FR2 (24.25 GHz - 52.6 GHz). Although a portion of FR1 is greater than 6 GHz, FR1 is often referred to (interchangeably) as the "Sub-6 GHz" band in various documents and articles. Similar naming issues sometimes arise regarding FR2, although it differs from the Extremely High Frequency (EHF) band (30 GHz - 300 GHz) designated as the "millimeter wave" band by the International Telecommunication Union (ITU), FR2 is often (interchangeably) referred to as the "millimeter wave" band in documents and articles.

[0044] The frequencies between FR1 and FR2 are often referred to as mid-band frequencies. Recent 5G NR studies have designated the operating bands of these mid-band frequencies as the frequency range name FR3 (7.125 GHz – 24.25 GHz). Bands falling within FR3 can inherit FR1 or FR2 characteristics, and thus can effectively extend the characteristics of FR1 or FR2 to mid-band frequencies. Additionally, higher frequency bands are currently being explored to extend 5G NR operation above 52.6 GHz. For example, three higher operating frequency bands have been designated as the frequency range names FR4a or FR4-1 (52.6 GHz – 71 GHz), FR4 (52.6 GHz – 114.25 GHz), and FR5 (114.25 GHz – 300 GHz). Each of these higher frequency bands falls within the EHF band.

[0045] Considering the examples above, unless otherwise specified, the term "sub-6 GHz" (if used herein) can broadly refer to a frequency that is less than 6 GHz, can be within FR1, or can include intermediate frequency bands. Furthermore, unless otherwise specified, the term "millimeter wave" (if used herein) can broadly refer to a frequency that can include intermediate frequency bands, can be within FR2, FR4, FR4a, or FR4–1 or FR5, or can be within the EHF band. It is anticipated that the frequencies included in these operating frequency bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, or FR5) can be modified, and the techniques described herein are applicable to those modified frequency ranges.

[0046] In some aspects, UE 120 may include a communication manager 140. As described in more detail elsewhere herein, the communication manager 140 may receive configuration information from a network node indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs; perform measurements on the one or more first CMRs; send a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on the measurements on the one or more first CMRs; and send an indication to the network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs. Alternatively or additionally, the communication manager 140 may perform one or more other operations described herein.

[0047] In some aspects, network node 110 may include communication manager 150. As described in more detail elsewhere herein, communication manager 150 may send configuration information to the UE indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs; receive from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs; and receive from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs. Alternatively or additionally, communication manager 150 may perform one or more other operations described herein.

[0048] Figure 2 This diagram illustrates an example network node communicating with a UE in a wireless network according to this disclosure. The network node may correspond to... Figure 1 Network node 110. Similarly, the UE can correspond to Figure 1UE 120. Network node 110 may be an assembly equipped with antennas 234a to 234t, such as T One antenna ( T ≥1). UE 120 can be equipped with an array of antennas 252a to 252r, such as R One antenna ( R ≥1). Figure 2 The network node 110 depicted includes one or more radio frequency components, such as antenna 234 and modem 232. In some examples, network node 110 may include an interface, communication components, or another component facilitating communication with UE 120 or another network node. Some network nodes 110 may not include radio frequency components facilitating direct communication with UE 120, such as one or more CUs or one or more DUs.

[0049] At network node 110, transmitting processor 220 can receive data from data source 212 intended for UE 120 (or a set of UEs 120). Transmitting processor 220 can select one or more modulation and coding schemes (MCS) for UE 120, at least in part, based on one or more Channel Quality Indicators (CQIs) received from UE 120. Network node 110 can process (e.g., code and modulate) the data for UE 120, at least in part, based on the MCS selected for UE 120, and can provide data symbols for UE 120. Transmitting processor 220 can process system information (e.g., semi-static resource partitioning information (SRPI)) and control information (e.g., CQI requests, permission, or upper-layer signaling), and provide overhead symbols and control symbols. Transmitting processor 220 can generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signal (PSS) or secondary synchronization signal (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 can perform spatial processing (e.g., precoding) on ​​data symbols, control symbols, overhead symbols, or reference symbols (if applicable), and can output a set of symbol streams (e.g., T Each output symbol stream is provided to the corresponding modem 232 set (e.g., ...). TEach modem 232a to 232t can be used to process its own output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modem 232 can also use its own modulator component to process (e.g., convert to analog, amplify, filter, or up-convert) the output sample stream to obtain a downlink signal. Modems 232a to 232t can be used via a corresponding antenna set 234 (e.g., ...). T Each antenna (shown as antennas 234a to 234t) is used to transmit a set of downlink signals (e.g., ...). T (One downlink signal).

[0050] At UE 120, the set of antennas 252 (shown as antennas 252a to 252r) can receive downlink signals from network node 110 or other network nodes 110, and can transmit signals to the set of modems 254 (e.g., R Each modem (shown as modem 254a to 254r) provides a set of received signals (e.g., R Each received signal may be provided to a demodulator component (shown as DEMOD) of modem 254. Each modem 254 may use its respective demodulator component to condition (e.g., filter, amplify, down-convert, or digitize) the received signal to obtain an input sample. Each modem 254 may use the demodulator component to further process the input sample (e.g., for OFDM) to obtain a received symbol. MIMO detector 256 may obtain the received symbol from modem 254, may perform MIMO detection on the received symbol (if applicable), and may provide the detected symbol. Receiver processor 258 may process (e.g., demodulate and decode) the detected symbol, may provide decoded data for UE 120 to data sink 260, and may provide decoded control information and system information to controller / processor 280. The term "controller / processor" may refer to one or more controllers and / or one or more processors. The channel processor may determine RSRP parameters, Received Signal Strength Indicator (RSSI) parameters, Reference Signal Received Quality (RSRQ) parameters, or CQI parameters, and other examples. In some examples, one or more components of UE 120 may be included in housing 284.

[0051] Network controller 130 may include communication unit 294, controller / processor 290, and memory 292. For example, network controller 130 may include one or more devices in the core network. Network controller 130 may communicate with network node 110 via communication unit 294.

[0052] One or more antennas (e.g., antennas 234a to 234t or antennas 252a to 252r) may include or be included within the following: one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, or one or more antenna arrays, and other examples. Antenna panels, antenna groups, sets of antenna elements, or antenna arrays may include one or more antenna elements (within a single housing or multiple housings), coplanar antenna element sets, non-coplanar antenna element sets, or coupled to one or more transmitting or receiving components (e.g., [missing information]). Figure 2 One or more antenna elements (one or more components).

[0053] On the uplink, at UE 120, transmit processor 264 can receive and process data from data source 262 and control information from controller / processor 280 (e.g., for reporting including RSRP, RSSI, RSRQ, or CQI). Transmit processor 264 can generate reference symbols for one or more reference signals. Symbols from transmit processor 264 can be pre-encoded (if applicable) by TX MIMO processor 266, further processed by modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and transmitted to network node 110. In some examples, modem 254 of UE 120 may include modulator and demodulator. In some examples, UE 120 includes a transceiver. The transceiver may include any combination of antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, or TXMIMO processor 266. The transceiver may be used by a processor (e.g., controller / processor 280) and a memory 282 to perform aspects of the methods described herein.

[0054] At network node 110, uplink signals from UE 120 or other UEs can be received by antenna 234, processed by modem 232 (e.g., a demodulator component of modem 232, shown as DEMOD), detected by MIMO detector 236 (if applicable), and further processed by receive processor 238 to obtain decoded data and control information transmitted by UE 120. Receive processor 238 can provide the decoded data to data sink 239 and the decoded control information to controller / processor 240. Network node 110 may include communication unit 244 and can communicate with network controller 130 via communication unit 244. Network node 110 may include scheduler 246 to schedule one or more UEs 120 for downlink or uplink communication. In some examples, modem 232 of network node 110 may include modulator and demodulator. In some examples, network node 110 includes transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, or TXMIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to perform aspects of any of the methods described herein.

[0055] The controller / processor 240 of network node 110, the controller / processor 280 of UE 120, or Figure 2 Any other components may perform one or more techniques associated with UE recommendation of CMR in UE-based beam prediction, as described in more detail elsewhere herein. For example, the controller / processor 240 of network node 110, the controller / processor 280 of UE 120, and / or Figure 2 Any other component can perform or direct, for example Figure 7 Process 700 Figure 8 The operation of process 800 and / or other processes as described herein. Memory 242 and memory 282 may store data and program code for network node 110 and UE 120, respectively. In some examples, memory 242 or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code or program code) for wireless communication. For example, one or more instructions, when executed by one or more processors of network node 110 or UE 120 (e.g., directly, or after compilation, translation, or interpretation), may cause one or more processors, UE 120, or network node 110 to perform or instruct, for example... Figure 7 Process 700 Figure 8The process 800 or other processes as described herein may be used. In some examples, execution instructions may include run instructions, translation instructions, compilation instructions, or interpretation instructions, etc. In some implementations, one or more of a plurality of memories may be configured to store processor-executable code, which, when executed, may configure one or more processors to perform the various functions described herein (as part of a processing system). In some other implementations, the processing system may be pre-configured to perform the various functions described herein.

[0056] In some aspects, the UE (e.g., UE 120) includes: units for receiving configuration information from a network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more CMRs to be used for predicting measurements for the one or more CPRs; units for performing measurements on the one or more first CMRs; units for sending a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements on the one or more first CMRs; and / or units for sending an indication to the network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs. Units for the UE to perform the operations described herein may include, for example, one or more of the following: a communication manager 140, an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, a TX MIMO processor 266, a controller / processor 280, or a memory 282.

[0057] In some aspects, a network node (e.g., network node 110) includes: units for transmitting configuration information to a UE, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs; units for receiving from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs; and / or units for receiving from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs. Units for the network node to perform the operations described herein may include, for example, one or more of a communication manager 150, a transmit processor 220, a TX MIMO processor 230, a modem 232, an antenna 234, a MIMO detector 236, a receive processor 238, a controller / processor 240, a memory 242, or a scheduler 246.

[0058] Communication systems, such as 5G NR systems, can be deployed in various ways and have a variety of components or parts. In a 5G NR system or network, network nodes, network entities, network mobility elements, RAN nodes, core network nodes, network elements, base stations, or network equipment can be implemented in aggregated or decomposed architectures. For example, a base station (e.g., a Node B (NB), evolved NB (eNB), NR base station, 5G NB, access point (AP), TRP, or cell, etc.) or one or more units (or components) performing base station functions can be implemented as an aggregated base station (also referred to as a standalone base station or monolithic base station) or a decomposed base station. A “network entity” or “network node” can refer to a decomposed base station, or to one or more units of a decomposed base station (such as one or more CUs, one or more DUs, and / or one or more RUs).

[0059] Aggregated base stations (e.g., aggregated network nodes) can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or unit). Decomposed base stations (e.g., decomposed network nodes) can be configured to utilize a protocol stack that is physically or logically distributed across two or more units (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, the CU can be implemented within a network node, and one or more DUs can be co-located with the CU, or alternatively, can be geographically or virtually distributed across one or more other network nodes. DUs can be implemented to communicate with one or more RUs. Each of the CUs, DUs, and RUs can also be implemented as a virtual unit, such as a Virtual Central Unit (VCU), Virtual Distributed Unit (VDU), or Virtual Radio Unit (VRU), etc.

[0060] Base station type operation or network design can take into account the aggregation characteristics of base station functions. For example, decomposed base stations can be used in IAB networks, Open Radio Access Networks (O-RAN (such as network configurations sponsored by the O-RAN Alliance)), or Virtualized Radio Access Networks (vRAN, also known as Cloud Radio Access Networks (C-RAN)) to facilitate the scaling of communication systems by separating base station functions into one or more units that can be deployed individually. Decomposed base stations can include functions implemented across two or more units located at various physical locations, as well as functions virtually implemented for at least one unit, which allows for flexibility in network design. The individual units of a decomposed base station can be configured to communicate wirelessly with at least one other unit of the decomposed base station.

[0061] Figure 3 These are diagrams illustrating examples 300, 310, and 320 of a beam management process according to this disclosure. Figure 3As shown, examples 300, 310, and 320 include a UE 120 communicating with a network node 110 in a wireless network (e.g., wireless network 100). However, Figure 3 The devices shown are provided as examples, and the wireless network can support communication and beam management between other devices (e.g., between UE 120 and network node 110 or TRP, between mobile terminal node and control node, between IAB child node and IAB parent node, and / or between scheduled node and scheduling node). In some aspects, UE 120 and network node 110 can be in a connected state (e.g., Radio Resource Control (RRC) connected state).

[0062] like Figure 3 As shown, Example 300 may include a network node 110 (e.g., one or more network node devices, such as RU, DU, and / or CU, etc.) and a UE 120 that communicate to perform beam management using CSI reference signals (CSI-RS). Example 300 depicts a first beam management procedure (e.g., P1 CSI-RS beam management). The first beam management procedure may be referred to as a beam selection procedure, an initial beam acquisition procedure, a beam scanning procedure, a cell search procedure, and / or a beam search procedure. Figure 3 As shown in Example 300, CSI-RS can be configured to be transmitted from network node 110 to UE 120. CSI-RS can be configured to be periodic (e.g., using RRC signaling), semi-persistent (e.g., using MAC-CE signaling), and / or aperiodic (e.g., using downlink control information (DCI)).

[0063] The first beam management process may include network node 110 performing beam scanning on multiple transmit (Tx) beams. Network node 110 may use each transmit beam for beam management to transmit CSI-RS. To enable UE 120 to perform receive (Rx) beam scanning, the network node may use the transmit beam to transmit (e.g., repeat) each CSI-RS multiple times within the same RS resource set, allowing UE 120 to scan the receive beams across multiple transmission instances. For example, if network node 110 has a set of N One transmit beam, and UE 120 has a set of M One receiving beam, then in N CSI-RS will be transmitted on each of the 10 transmit beams. M This allows UE 120 to receive CSI-RS for each transmit beam. MIn other words, for each transmit beam of network node 110, UE 120 can perform a beam scan through the receive beam of UE 120. Therefore, the first beam management procedure enables UE 120 to measure CSI-RS on different transmit beams using different receive beams to support the selection of network node 110 transmit beam / UE 120 receive beam pairs. UE 120 can report the measurements to network node 110 so that network node 110 can select one or more beam pairs for communication between network node 110 and UE 120. While Example 300 has been described in conjunction with CSI-RS, the first beam management procedure can also use synchronization signal blocks (SSBs) for beam management in a similar manner to those described above.

[0064] like Figure 3 As shown, Example 310 may include network node 110 and UE 120 communicating to perform beam management using CSI-RS. Example 310 depicts a second beam management process (e.g., P2 CSI-RS beam management). This second beam management process may be referred to as a beam refinement process, a network node beam refinement process, a TRP beam refinement process, and / or a transmit beam refinement process. Figure 3 As shown in Example 310, CSI-RS can be configured to be transmitted from network node 110 to UE 120. CSI-RS can be configured to be aperiodic (e.g., using DCI). A second beam management procedure may include network node 110 performing beam scanning on one or more transmit beams. The one or more transmit beams may be a subset of all transmit beams associated with network node 110 (e.g., determined based on or otherwise according to measurements reported by UE 120 in conjunction with the first beam management procedure). Network node 110 may transmit CSI-RS using each of the one or more transmit beams used for beam management. UE 120 may measure each CSI-RS using a single (e.g., the same) receive beam (e.g., determined based on or otherwise according to measurements performed in conjunction with the first beam management procedure). The second beam management procedure may enable network node 110 to select the optimal transmit beam based on or otherwise according to measurements of CSI-RS reported by UE 120 (e.g., measured by UE 120 using a single receive beam).

[0065] like Figure 3 As shown, Example 320 depicts a third beam management process (e.g., P3 CSI-RS beam management). This third beam management process may be referred to as a beam refinement process, a UE beam refinement process, and / or a receive beam refinement process. For example... Figure 3As shown in Example 320, one or more CSI-RS can be configured to be transmitted from network node 110 to UE 120. CSI-RS can be configured to be non-periodic (e.g., using DCI). The third beam management procedure may include network node 110 transmitting one or more CSI-RS using a single transmit beam (e.g., determined based on or otherwise according to measurements reported by UE 120 in conjunction with the first and / or second beam management procedures). To enable UE 120 to perform receive beam scanning, the network node may transmit (e.g., with repetition) CSI-RS multiple times within the same RS resource set using the transmit beam, allowing UE 120 to scan one or more receive beams in multiple transmission instances. One or more receive beams may be a subset of all receive beams associated with UE 120 (e.g., determined based on or otherwise according to measurements performed in conjunction with the first and / or second beam management procedures). The third beam management process enables network node 110 and / or UE 120 to select the optimal receive beam based on or otherwise according to reported measurements received from UE 120 (e.g., CSI-RS of transmit beams using one or more receive beams).

[0066] Wireless networks can operate at higher frequency bands, such as the millimeter-wave (mmW) band (e.g., FR2 above 28 GHz, FR4 above 60 GHz, or THz bands above 100 GHz, etc.) to provide high data rates. For example, wireless devices (such as network nodes and UEs) can communicate with each other using beamforming techniques to increase communication speed and reliability. Beamforming allows wireless devices to transmit signals in a specific direction, rather than transmitting omnidirectional signals in all directions. In some examples, wireless devices can use a common wavelength and phase for transmission from multiple antenna elements to transmit signals from multiple antenna elements, and the signals from multiple antenna elements can be combined to create a combined signal with a longer range and a more directional beam. The beamwidth of the signal can vary based on the transmission frequency. For example, the beamwidth can be inversely proportional to the frequency, where the beamwidth can decrease as the transmission frequency increases because more radiating elements can be placed in each given area at the transmitter due to the smaller wavelength. Therefore, higher frequency bands (e.g., THz or sub-THz bands) allow wireless devices to form narrower beamforms (e.g., pencil beams, laser beams, or narrow beams) compared to beamforms below or below FR2, because more radiating elements can be placed in each given area of ​​the antenna elements due to the smaller wavelength. Higher frequency bands can have shorter delay spreads (e.g., several nanoseconds) and can be converted into coherent frequency bandwidths of tens (10s) MHz. Furthermore, higher frequency bands can provide larger available bandwidths that can be occupied by larger bandwidth carriers, such as 1000 MHz or more per carrier. In some examples, the transmission path of a narrower beam may be more likely to be tailored to the receiver, making the transmission more likely to meet line-of-sight (LOS) conditions, as the narrower beam is more likely to reach the receiver without being blocked by obstacles. Moreover, because the transmission path is likely to be narrow, reflections and / or refractions are less likely to occur with a narrower beam.

[0067] While higher frequency bands can offer narrower beamwidths and higher transmission rates, they may also experience higher attenuation and diffraction losses, where obstructions to the LOS path can degrade wireless link quality. For example, when two wireless devices communicate with each other based on a higher frequency band LOS path and the LOS path is blocked by obstacles such as pedestrians, buildings, and / or vehicles, the received power may drop significantly. As a result, higher frequency band-based wireless communication may be more susceptible to environmental changes compared to lower frequency bands. To ensure that UE 120 and network node 110 are communicating using the optimal beam or beam pair, beam management processes (e.g., combining...) are necessary. Figure 3The described beam management procedure can be performed by UE120 and / or network node110. However, because higher frequency bands may be more susceptible to environmental changes compared to lower frequency bands, beam management procedures may need to be performed more frequently and / or using additional beams. This can introduce significant overhead and consume network resources, processing resources, and / or power resources of the UE (and / or network node) associated with performing the beam management procedure.

[0068] As pointed out above, Figure 3 This is provided as an example of a beam management process. Other examples of beam management processes may be related to... Figure 3 The descriptions differ. For example, UE 120 and network node 110 may perform a third beam management procedure before performing a second beam management procedure, and / or UE 120 and node 110 may perform a similar beam management procedure to select the UE transmit beam.

[0069] Figure 4 This is a diagram illustrating an example architecture 400 of a functional framework for enabling RAN intelligence through data collection, according to this disclosure. In some scenarios, the functional framework for RAN models can be enabled by further enhancing data collection with use cases and / or examples. For example, principles or algorithms for RAN intelligence enabled by AI / ML, and associated functional frameworks (e.g., inputs / outputs of AI functions and / or optimized components for enabling AI) have been utilized or studied to identify the benefits of AI-enabled RAN through possible use cases (e.g., beam management, energy saving, load balancing, mobility management and / or coverage optimization, etc.). In one example, as shown in Figure 400, the functional framework for RAN intelligence may include multiple logical entities such as a model training host 402, a model inference host 404, a data source 406, and / or an actor 408, etc.

[0070] Model inference host 404 can be configured to run an AI / ML model based on inference data provided by data source 406, and model inference host 404 can use the inference data to generate outputs (e.g., predictions) that are input to actor 408. Actor 408 can be a core network or RAN element or entity. For example, actor 408 can be a UE, network node, base station (e.g., gNB), CU, DU, and / or RU, etc. Furthermore, actor 408 can also depend on the type of task performed by model inference host 404, the type of inference data provided to model inference host 404, and / or the type of output generated by model inference host 404. For example, if the output from model inference host 404 is associated with beam management, actor 408 can be a UE, DU, or RU; while if the output from model inference host 404 is associated with Tx / Rx scheduling, actor 408 can be a CU or DU.

[0071] After actor 408 receives output from model inference host 404, actor 408 can determine whether to take action based on that output. For example, if actor 408 is a DU or RU and the output from model inference host 404 is associated with beam management, actor 408 can determine whether to change / modify the Tx / Rx beam based on the output. If actor 408 determines to take action based on the output, actor 408 can instruct the action to at least one object 410. For example, if actor 408 determines to change / modify the Tx / Rx beam used for communication between actor 408 and object 410 of the action (e.g., UE 120), actor 408 can send a beam (re)configuration or beam switching instruction to object 410 of the action. Actual actor 408 can modify its Tx / Rx beam based on beam (re)configuration, such as switching to a new Tx / Rx beam or applying different parameters to the Tx / Rx beam. As another example, actor 408 may be a UE, and the output from model inference host 404 may be associated with beam management. For example, the output may be one or more predicted measurements of one or more beams. Actor 408 (e.g., UE) may determine that a measurement report should be sent to network node 110 (e.g., L1 RSRP report).

[0072] Data source 406 can also be configured to collect data that can be used as training data for training an ML model or as inference data for feeding ML model inference operations. For example, data source 406 may collect data from one or more core network and / or RAN entities that may include an object 410 of an action, and provide the collected data to model training host 402 for ML model training. For example, after an object 410 of an action (e.g., UE 120) receives a beam configuration from an actor 408, the object 410 of the action may provide performance feedback associated with the beam configuration to data source 406, whereby model training host 402 can use the performance feedback to monitor or evaluate ML model performance, such as whether the output (e.g., prediction) provided to actor 408 is accurate. In some examples, if the output provided by actor 408 is inaccurate (or its accuracy is below an accuracy threshold), model training host 402 may determine that the ML model used by the model inference host needs to be modified or retrained, such as via ML model deployment / update.

[0073] As indicated above, Figure 4 This is provided as an example. Other examples may differ from the one provided. Figure 4 The example described.

[0074] Figure 5 This is a diagram illustrating example 500 of AI / ML-based beam management according to this disclosure. Figure 5 As shown, AI / ML model 510 can be deployed at or on UE 120. For example, a model inference host (such as model inference host 404) can be deployed at or on UE 120. AI / ML model 510 enables UE 120 to determine one or more inferences or predictions based on the data input to AI / ML model 510.

[0075] For example, as indicated by reference numeral 515, inputs to the AI / ML model 510 may include measurements associated with a first beam set. For example, network node 110 may transmit one or more signals via a corresponding beam from the first beam set. UE 120 may perform measurements on the first beam set (e.g., L1 RSRP measurements or other measurements) to obtain a first measurement set. For example, each beam from the first beam set may be associated with one or more measurements performed by UE 120. UE 120 may input the first measurement set (e.g., L1 RSRP measurements) along with information associated with the first beam set and / or the second beam set (such as beam orientation (e.g., spatial orientation), beamwidth, beam shape, and / or other characteristics of the corresponding beams from the first beam set and / or the second beam set) into the AI / ML model 510.

[0076] As indicated by reference numeral 520 in the attached figure, the AI / ML model 510 can output one or more predictions. These predictions may include predicted measurements associated with the second beam set (e.g., predicted L1 RSRP measurements). This reduces the number of beam measurements performed by the UE 120, thereby saving power and / or network resources of the UE 120 that would otherwise be used to measure all beams included in the first and second beam sets. This type of prediction may be referred to as codebook-based spatial domain selection or prediction.

[0077] As another example, the output of AI / ML model 510 may include the pointing direction, departure angle (AoD), and / or arrival angle (AoA) of the beams included in the second beam set. This type of prediction can be referred to as non-codebook-based spatial domain selection or prediction. As another example, multiple measurement reports or values ​​collected at different time points can be input into AI / ML model 510. This allows AI / ML model 510 to output codebook-based and / or non-codebook-based predictions of beam measurements, AoD, and / or AoA, etc., for future time points. As described herein, the output of AI / ML model 510 can facilitate initial access procedures, secondary cell group (SCG) establishment procedures, and beam refinement procedures (e.g., as described above in conjunction with...). Figure 4 The description includes P2 beam management process or P3 beam management process, link quality or interference adaptation process, beam fault and / or beam blocking prediction and / or radio link fault prediction, etc.

[0078] In some examples, beam measurement prediction can be made by the UE (e.g., as...) Figure 5(As shown) and / or performed by network node 110 in a similar manner to that described above. For example, network node 110 may receive (e.g., performed by UE 120) one or more measurements, and may use AI / ML model 510 to predict (e.g., of other beams) one or more measurements based on or otherwise according to one or more measurements performed by UE 120. For example, prediction may be performed by network node 110 because network node 110 may have more processing resources and / or greater processing power than UE 120. Additionally, network node 110 may have access to historical measurement reports and / or measurement reports from other UEs that can be used as input to AI / ML model 510 (e.g., this may improve the accuracy of the output of AI / ML model 510). UE 120 may perform prediction because UE 120 has access to filtered measurements of all beams (e.g., not all measurements can be reported to network node 110). Additionally, UE 120 may have information related to the received beam used to derive or perform measurements (e.g., it may be a useful input to AI / ML model 510). As another example, the measurement information at UE 120 may be "raw" or unquantized, thus providing more information that can be input into AI / ML model 510. Furthermore, UE 120 may know its azimuth or rotation position.

[0079] In some examples, the first set of beams (e.g., the measured beams) may be referred to as set B beams, and the second set of beams (e.g., the beams associated with the predicted measurements) may be referred to as set A beams. In some examples, the first set of beams (e.g., set B beams) may be a subset of the second set of beams (e.g., set A beams). In some other examples, the first set of beams and the second set of beams may be different beams and / or may be mutually exclusive sets. For example, the first set of beams (e.g., set B beams) may include wide beams (e.g., unthinned beams or beams with beamwidths that satisfy a first threshold), and the second set of beams (e.g., set A beams) may include narrow beams (e.g., thinned beams or beamwidths that satisfy a second threshold). In one example, AI / ML model 510 may perform spatial domain downlink beam prediction for beams included in set A beams based on measurements of beams included in set B beams. As another example, AI / ML model 510 can perform temporal downlink beam prediction for beams included in set A, based on historical measurements of beams included in set B.

[0080] In some examples, the beams included in the first beam set (e.g., beam set B) may be fixed over time and / or may follow a set or predictable pattern. For example, at various time-domain measurement times, the beams included in the first beam set (e.g., the predicted beams in beam set B to be measured by UE 120 to facilitate measurement of beam set A) may be fixed (e.g., the same) or may follow a set pattern. For example, beam set A may include 16 beams, and beam set B may be a subset of beam set A. In some examples, at each time-domain measurement time, beam set B may be the same subset of beam set A. In other examples, beam set B may change at different time-domain measurement times, but may follow a set or predictable pattern, such as a round-robin pattern.

[0081] In an example where UE 120 performs beam measurement prediction (e.g., AI / ML model 510 is deployed at UE 120), network node 110 may determine the selection of set B beams to be measured by UE 120. In some examples, a fixed set of set B beams used over time may degrade the performance of predictions made by AI / ML model 510 (e.g., deployed at UE 120). For example, one or more beams included in set B beams may be associated with beam blocking, interference, or another intermediate factor that degrades the performance of signals transmitted via one or more beams. For example, higher frequency bands may encounter higher attenuation and diffraction losses, where blocking of LOS paths may degrade radio link quality. Therefore, a fixed set of set B beams used over time may result in inaccurate or degraded performance predictions for measurements of beams included in set A. In some examples, network node 110 may determine a pattern for changing set B beams at different time-domain measurement times. For example, network node 110 may instruct UE 120 of a semi-random pattern for selecting set B beams on different time-domain measurement occasions or different CMR sets associated with different time-domain measurement occasions. In some examples, information may be available at UE 120 (such as information relating to UE 120's mobility, UE 120's orientation, UE 120's location, and / or UE 120's capabilities), which may improve the selection of set B beams and lead to increased accuracy in predicted measurements of set A beams. However, such information may not be available at network node 110 and therefore may not be used by network node 110 to determine the selection of set B beams.

[0082] Some of the techniques and apparatus described herein implement UE recommendation of CMRs in UE-based beam prediction. In some aspects, the UE may receive configuration information from a network node indicating one or more CPRs associated with a CSI report. The configuration may also indicate a first CMR to be used for predicting measurements for the CPR. For example, the CPR may correspond to a set of beams in set A, and the first CMR may correspond to a first set of beams in set B. The UE may perform measurements for the first CMR (e.g., L1 RSRP measurement), and the UE may predict the measured values ​​of the CPR (e.g., using an AI / ML model deployed at the UE). The UE may send a CSI report to the network node including the predicted measurements for the CPR, and the UE may send an indication to the network node of one or more second CMRs to be used for predicting measurements for the CPR. For example, the second CMR may be a CMR recommended by the UE to be used by the UE for predicting measurements for the CPR at one or more subsequent time-domain measurement opportunities (e.g., a CMR corresponding to a recommended set of beams in set B).

[0083] Therefore, the UE can recommend a CMR (e.g., corresponding to set A beam) to be used for predicting measurements for CPR (e.g., corresponding to set A beam). By providing an indication of the recommended CMR to be used for beam measurement prediction, the described technique can be used to improve the selection of set B beam, thereby resulting in increased accuracy of beam measurement prediction for set A beam.

[0084] As indicated above, Figure 5 This is provided as an example. Other examples may differ from the one provided. Figure 5 The example described.

[0085] Figures 6A-6D This is a diagram illustrating example 600 related to UE recommendation for CMR in UE-based beam prediction, according to this disclosure. Figure 6A As shown, network node 110 (e.g., base station, CU, DU, and / or RU) can communicate with UE 120. In some aspects, network node 110 and UE 120 can be part of a wireless network (e.g., wireless network 100). Figure 6A Prior to the operation shown, UE 120 and network node 110 may have already established a wireless connection.

[0086] In some respects, actions performed by network node 110 as described herein can be performed by multiple different network nodes. For example, configuration actions can be performed by a first network node (e.g., CU or DU), and radio communication actions can be performed by a second network node (e.g., DU or RU). As used herein, network node 110 “sending” communication to UE 120 can refer to a direct transmission (e.g., from network node 110 to UE 120) or an indirect transmission via one or more other network nodes or devices. For example, if network node 110 is a DU, an indirect transmission to UE 120 could include the DU sending communication to the RU and the RU sending communication to UE 120. Similarly, UE 120 “sending” communication to network node 110 can refer to a direct transmission (e.g., from UE 120 to network node 110) or an indirect transmission via one or more other network nodes or devices. For example, if network node 110 is a DU, an indirect transmission to network node 110 could include the UE 120 sending communication to the RU and the RU sending communication to the DU.

[0087] like Figure 6A As shown by reference numeral 605, UE 120 can transmit and network node 110 can receive capability reports. Capability reports can instruct UE 120 to support predictive beam management, as described herein. For example, a capability report can instruct UE 120 to support combined... Figure 4 and Figure 5 One or more operations described herein. In some aspects, the capability report may indicate that UE 120 supports recommended CMR to be measured for predictive beam management, as described in more detail elsewhere herein. In some aspects, UE 120 may be configured to perform one or more operations described herein based on or associated with a capability report indicating that UE 120 supports performing predictive beam management.

[0088] like Figure 6A As further shown by reference numeral 610, network node 110 can send configuration information, and UE 120 can receive configuration information. In some aspects, UE 120 can receive configuration information via one or more of system information signaling, RRC signaling, one or more MAC-CEs and / or DCIs, etc. In some aspects, configuration information may include indications of one or more configuration parameters selected by UE 120 (e.g., those already stored by UE 120, and / or previously indicated by network node 110 or other network devices) and / or explicit configuration information for UE 120 to use in configuring itself, etc.

[0089] In some aspects, configuration information may instruct UE 120 to perform predictive beam management. For example, configuration information may instruct UE 120 to use AI / ML models and / or model inference hosts deployed at or associated with UE 120 to predict measurements associated with one or more beams (e.g., set A beams) such as L1 RSRP values, L1 signal-to-interference-plus-noise ratio (SINR) values, CQI, rank indicator (RI), precoding matrix indicator (PMI), layer indicator (LI), and / or other values ​​or parameters. For example, configuration information may instruct UE 120 to use measurements of other transmit beams of network node 110 (e.g., obtained by UE 120) to predict measurements associated with the transmit beams of network node 110 (e.g., RU).

[0090] In some aspects, configuration information may indicate one or more CPRs associated with a CSI report. A CPR may be associated with a beam (e.g., set A beam) whose measurements will be predicted by UE 120 (e.g., using an AI / ML model) and reported in the CSI report. For example, each CPR may be associated with a corresponding beam on which one or more predicted measurements are to be reported in the CSI report. In some aspects, one or more CPRs may include virtual resources associated with a beam on which signals are not actually transmitted by network node 110 during the time-domain measurement timing associated with the CSI report. Alternatively or additionally, one or more CPRs may include one or more CMRs on which network node 110 transmits signals (e.g., downlink reference signals) during the time-domain measurement timing. For example, a CPR may include downlink reference signal resources, such as SSB resources or CSI-RS resources. In some aspects, configuration information can instruct the UE 120 to include in the CSI report a predicted measurement of one or more channel characteristics (e.g., L1 RSRP and / or L1 SINR, etc.) for the CRP associated with the CSI report, or a prediction of the CRP prior to the CRP. K Indications for individual resources (e.g., based on predicted L1 RSRP and / or L1 SINR, etc.). In some aspects, configuration information may indicate one or more CPR sets for which predicted measurements are to be reported in the CSI report. For example, different CPR sets may be associated with different CMRs used to predict measurements for CPRs.

[0091] In some aspects, configuration information may indicate one or more first CMRs associated with a CSI report. A first CMR may be a CMR used to predict measurements for a CPR. A first CMR may include downlink reference signal resources, such as SSB resources or CSI-RS resources. A first CMR may be associated with a beam (e.g., set B beams) to be measured at a time-domain measurement timeframe associated with a CSI report. For example, each first CMR may be associated with a corresponding beam to perform one or more measurements (e.g., L1 RSRP measurement and / or L1 SINR measurement, etc.) at a time-domain measurement timeframe. A first CMR may be an initial or default CMR configured to predict measurements for one or more CPRs. In some aspects, one or more first CMRs may be a subset of the CPRs for which predicted measurements are to be reported.

[0092] In some aspects, configuration information may include CSI configuration. For example, configuration information may include CSI reporting settings and / or CSI resource settings, etc. As another example, configuration information may include... CSI-ReportConfig Configuration and / or CSI- ResourceConfig Configuration, etc. In other words, configuration information can configure UE 120 to send CSI reports that include information associated with one or more CPRs (e.g., predicted measurements). In some aspects, configuration information can indicate the number of reports configured for CSI reports. For example, UE 120 can be configured with... CSI-ReportConfig Among them, higher-level parameters reportQuantity Set as none,cri-RI-PMI-CQI,cri-RI-i1,cri-RI-i1-CQI,cri-RI-CQI, cri-RSRP, ssb-Index-RSRP, or cri-RI-LI-PMI-CQI (e.g., as defined by 3GPP or otherwise fixed). The number of reports can indicate or configure which measurements (e.g., predicted measurements) will be included in the CSI report, or what the UE 120 is expected to be configured for CSI reporting. In other words, the number of reports can indicate what quantities (e.g., SSB RSRP, CQI, PMI, and / or RI) the UE 120 should measure and report. For example, the UE 120 can receive configurations for CSI reporting (e.g., CSI reporting settings, CSI resource settings, etc.). CSI-ReportConfig and / or CSI- ResourceConfig This configuration can indicate one or more CPRs associated with a CSI report, as well as one or more first CMRs to be used to predict measurements for one or more CPRs.

[0093] In some aspects, the configuration information may indicate a fixed first set of CMRs to be measured at different time-domain measurement times and used to predict measurements for CPR. In other aspects, the configuration information may indicate a first CMR that varies across different time-domain measurement times based on or otherwise associated with a CMR pattern. For example, the configuration information may indicate a random seed associated with a cyclic formula used to determine the CMR pattern used to vary the first CMR across time-domain measurement times. In such an example, the cyclic formula may be configured separately by network node 110 (e.g., indicated in other configuration information sent by network node 110 and received by UE 120), or the cyclic formula may be defined in a wireless communication standard (such as a 3GPP standard).

[0094] In some aspects, configuration information associated with a CSI report may indicate multiple options (e.g., candidate CMRs and / or a set of candidate CMRs) and / or a CMR mode associated with the first CMR. In such an example, network node 110 may send and UE 120 may receive indications of selected options for the first CMR and / or CMR modes associated with the first CMR. In some examples, configuration information associated with a CSI report may include indications of selected options and / or CMR modes for the first CMR. In some other examples, indications of selected options may be included in separate communications (e.g., RRC messages, MAC-CEs, or DCIs) from configuration information indicating multiple options and / or CMR modes for the first CMR. For example, network node 110 may send and UE 120 may receive a MAC-CE indicating a selected option for activating one or more of the first CMRs or a CMR mode associated with the first CMR (e.g., for semi-persistent CSI reporting).

[0095] In some aspects, the configuration information may indicate the AI / ML model to be used by UE 120 for predictive beam management. For example, UE 120 may download the AI / ML model from the network (e.g., from network node 110). In some aspects, the AI / ML model may be trained by network node 110 and provided to UE 120. In other aspects, UE 120 may train the AI / ML model. In some aspects, the AI / ML model may be pre-configured on UE 120 (e.g., in an original equipment manufacturer (OEM) configuration). In some aspects, the configuration information may indicate one or more inputs to be provided to the AI / ML model, such as one or more measurements of one or more CMRs measured by UE 120, CMR modes, and / or QCL information, etc. In some aspects, configuration information can indicate one or more outputs to be provided by the AI / ML model, such as predicted L1 RSRP values, predicted L1 SINR values, predicted CQI, predicted RI, predicted PMI, predicted LI, and / or other predicted values ​​or parameters associated with one or more CPRs.

[0096] In some aspects, the configuration information may configure UE 120 to recommend alternative CMRs to replace the first CMR for predicting measurements for CPR. In some aspects, the configuration information may indicate multiple candidate CMRs and / or sets of CMRs. Candidate CMRs and / or sets of CMRs may be candidates for CMRs to be used for predicting measurements for CPR. In some examples, the configuration information may configure one or more candidate CMR sets, and different candidate CMR sets may include the same number of CMRs or different numbers of CMRs. In some examples, each candidate CMR set in one or more candidate CMR sets may be associated with a corresponding CPR set for which measurements will be used to predict measurements using the CMRs in the candidate CMR sets. In some aspects, each CMR set in one or more candidate CMR sets may be associated with a CMR set identifier (ID), and CMRs within a candidate CMR set may be associated with a corresponding CMR ID. In some aspects, the configuration may indicate multiple candidate UE recommendation options, and each candidate UE recommendation option may correspond to a corresponding combination of one or more CMRs in the candidate CMRs. In such an example, each candidate UE recommendation option can be associated with a corresponding ID, and different candidate UE recommendation options can include the same number of CMRs or different numbers of CMRs. In such an example, UE 120 can be configured to recommend an alternative CMR to be used instead of the first CMR by indicating the UE recommendation option among the candidate UE recommendation options (e.g., using the ID associated with the UE recommendation option).

[0097] In some aspects, the configuration information may configure UE 120 to recommend an alternative CMR to use instead of the first CMR by indicating a Type D Quasi-QCL (Type D-QCL) reference source associated with the alternative CMR. In such an example, the configuration information may indicate candidate Type D-QCL reference sources that can be indicated by UE 120 (e.g., associated with a corresponding Type D-QCL reference source ID). Alternatively or additionally, the configuration information may indicate multiple candidate UE recommendation options, each corresponding to a specific combination of one or more Type D-QCL reference sources among the candidate Type D-QCL reference sources. In some aspects, candidate Type D-QCL reference sources may be associated with downlink reference signals (e.g., SSB and / or CSI-RS) actually transmitted by network node 110 and / or uplink reference signals (e.g., sounding reference signals (SRS)) transmitted to network node 110. In some aspects, candidate Type D-QCL reference sources may be associated with downlink AoA and / or AoD values ​​or other virtual angle quantities.

[0098] In some aspects, configuration information can indicate and / or configure the association between the beam pointing direction, beamwidth, and / or beamforming gain of candidate CMRs and CPRs. In some examples, the association between the beam pointing direction, beamwidth, and / or beamforming gain of candidate CMRs and CPRs can be configured by explicitly indicating such beam parameters in the configuration information. In some other examples, the association between the beam pointing direction, beamwidth, and / or beamforming gain of candidate CMRs and CPRs can be configured based on or otherwise associated with an indication of the relative beam pointing direction in the configuration information (e.g., which resource is next to which azimuth / elevation angle), without indicating further beamforming mode details.

[0099] UE 120 can configure itself based on configuration information or otherwise associated with configuration information. In some aspects, UE 120 can be configured to perform one or more operations described herein based on or otherwise associated with configuration information.

[0100] like Figure 6AAs further illustrated by reference numeral 615, network node 110 may transmit one or more signals associated with one or more first CMRs during a first time-domain measurement opportunity associated with a CSI report, and UE 120 may receive such one or more signals. For example, network node 110 may use resources associated with the first CMR to transmit downlink reference signals (e.g., SSB and / or CSI-RS). In some aspects, network node 110 may transmit signals (e.g., downlink reference signals) using only the first CMR (e.g., initial or default CMR) during the first time-domain measurement opportunity. In other words, network node 110 may transmit signals only via a configured set B beam (e.g., initial or default set B beam) during the first time-domain measurement opportunity. In some other aspects, network node 110 may use resources other than the first CMR to transmit signals (e.g., downlink reference signals). For example, network node 110 may transmit signals on all or a subset of set A beams (e.g., using resources associated with all or a subset of CPRs).

[0101] like Figure 6A As further shown by reference numeral 620 in the accompanying drawing, UE 120 may perform measurements of the first CMR during the first time-domain measurement timing. UE 120 may perform measurements of signals associated with the first CMR. For example, UE 120 may perform L1 RSRP measurements, L1 SINR measurements, CQI measurements, RI measurements, PMI measurements, and / or LI measurements of signals associated with the first CMR. In some aspects, in an example where network node 110 uses resources other than the first CMR to transmit signals during the first time-domain measurement timing, UE 120 may perform measurements only of signals transmitted using the first CMR during the first time-domain measurement timing.

[0102] As in Figure 6AAs further illustrated by reference numeral 625, UE 120 may use (e.g., based on or otherwise associated with) measurements of the first CMR to determine a first predicted measurement for the CPR associated with the CSI report. For example, UE 120 may input measurements of the first CMR into an AI / ML model. In some examples, UE 120 may also input other information into the AI / ML model, such as an indication of the first CMR, the CMR mode used to determine the first CMR, or beam / space / quasi-co-location (QCL) information associated with the first CMR. The AI / ML model may output a first predicted measurement or parameter associated with the CPR, as described in more detail elsewhere herein. In some aspects, this prediction may be based on or otherwise associated with measurements performed at a single time-domain measurement point (e.g., measurements of the first CMR performed at the first time-domain measurement point). In other respects, the prediction may be based on or otherwise depend on measurements performed at multiple time-domain measurement points (e.g., UE 120 may input measurements performed at multiple time-domain measurement points (including a measurement of the first CMR at the first time-domain measurement point) into an AI / ML model to obtain a first predicted measurement for CPR).

[0103] like Figure 6A As further shown by reference numeral 630 in the accompanying drawings, UE 120 can transmit and network node 110 can receive a CSI report (e.g., a first CSI report) indicating a first predicted measurement for CPR. For example, the CSI report may include a first predicted measurement value associated with CPR determined by UE 120 using (e.g., based on or otherwise associated with) a measurement of the first CMR. In some aspects, the CSI report may include predicted measurements for all CPRs associated with the CSI report. In some other aspects, the CSI report may include predicted measurements for a subset of CPRs associated with the CSI report, such as those based on or otherwise associated with a CPR (e.g., having the highest predicted L1 RSRP or L1 SINR value). K The first few (e.g., CPR) determined by predicted measurements. K (1) CPR. In some aspects, the CSI report may include a first predicted measurement associated with the CPR, and the CSI may also include all or a subset of measurements for the first CPR.

[0104] like Figure 6AAs further shown by reference numeral 635, UE 120 can transmit, and network node 110 can receive, indications for one or more second CMRs (e.g., one or more second CMRs to be used for predicting measurements against CPR) for predictive beam management. The one or more second CMRs may include one or more recommended alternative CMRs (e.g., not one or more of the first CMRs) to be used for predicting measurements against CPR. That is, the indication for one or more second CMRs may be a recommendation by UE 120 of alternative CMRs to be used for predicting measurements against CPR at one or more subsequent time-domain measurement junctures associated with a CSI report. The second CMRs may be associated with a recommended set of B beams to be measured for predicting set A beams. In some aspects, UE 120 may determine one or more second CMRs (e.g., recommended alternative CMRs) based on or otherwise associated with information related to UE 120's mobility, UE 120's orientation, UE 120's location, and / or UE 120's capabilities. Such information may be available to UE 120 but not to network node 110. For example, UE 120 may recommend one or more alternative CMRs (e.g., one or more second CMRs) based on or otherwise associated with this information to improve the accuracy of predicted measurements for CPR.

[0105] In some aspects, indications for one or more second CMRs can be included in a CSI report (e.g., a first CSI report) used to indicate a first predicted measurement associated with CPR. For example, UE 120 can report a recommendation for an alternative CMR (e.g., a second CMR) via the same CSI report (e.g., the first CSI report), which carries a prediction of CPR determined based on or otherwise associated with a measurement of the first CMR. In such an example, the CSI report (e.g., the first CSI report) can include a direct recommendation (e.g., an explicit indication) of one or more second CMRs recommended for predicting measurements of CPR to be reported in one or more subsequent CSI reports. For example, as... Figure 6B As shown by reference numeral 660 in the accompanying drawings, the CSI report may include channel characteristic prediction results (e.g., a first predicted measurement based on or otherwise associated with a measurement of the first CMR in the first time-domain measurement timing) and recommendations for alternative CMRs (e.g., indications for one or more CMRs).

[0106] In some examples, the indication of a second CMR in the CSI report may explicitly report information used to identify each CMR in the second CMR (e.g., each recommended CMR). For example, the indication of a second CMR in the CSI report may include a corresponding indication of the CMR ID associated with each of the one or more second CMRs. In another example, if multiple candidate CMR sets are configured in the configuration information, then for each of the one or more second CMRs, the indication of a second CMR in the CSI report may include a corresponding indication of the CMR set ID used to identify the CMR set among the multiple candidate CMR sets, and a corresponding indication of the CMR identifier used to identify the CMRs within the CMR set. In such examples where information explicitly identifying each CMR in the second CMR is included in the CSI report, the configuration information may configure the total number of recommended CMRs to be indicated in the CSI report.

[0107] In some other examples, the configuration information may indicate multiple candidate CMR sets, and the indication of a second CMR in the CSI report may include an indication of a CMR set identifier associated with a CMR set among the multiple candidate CMR sets. In such an example, UE 120 indicates a recommended CMR set among multiple candidate CMRs. Different candidate CMR sets may include the same number of CMRs or different numbers of CMRs.

[0108] In some other examples, configuration information may indicate multiple configured UE recommendation options for candidate CMRs, and each of the multiple configured UE recommendation options may correspond to a corresponding combination of one or more CMRs among the candidate CMRs. In such an example, the indication of a second CMR in the CSI report may include an indication of the ID associated with a UE recommendation option among the multiple configured UE recommendation options. For example, different configured UE recommendation options may include the same number of CMRs or different numbers of CMRs.

[0109] In some examples, the indication of a second CMR in the CSI report may include indications of one or more Type D-QCL reference sources associated with one or more second CMRs (e.g., indications of one or more recommended Type D-QCL reference sources). For example, one or more Type D-QCL reference sources may be associated with one or more downlink or uplink reference signals, or one or more Type D-QCL reference sources may be associated with one or more downlink AoA or AoD values ​​or other virtual angle quantities. In some examples, configuration information may indicate multiple candidate Type D-QCL reference sources, and the indication of one or more Type D-QCL reference sources in the CSI report may include, for each of the one or more second CMRs, a corresponding indication of the Type D-QCL reference source ID associated with a candidate Type D-QCL reference source among the multiple candidate Type D-QCL reference sources.

[0110] In some other examples, configuration information may indicate multiple configured UE recommendation options for candidate type D-QCL reference sources, and each of the multiple configured UE recommendation options may correspond to a corresponding combination of one or more candidate type D-QCL reference sources. In such examples, the indication of one or more type D-QCL reference sources in the CSI report may include an indication of the ID associated with a UE recommendation option among the multiple configured UE recommendation options. For example, different configured UE recommendation options may include the same number of candidate type D-QCL reference sources or different numbers of candidate type D-QCL reference sources.

[0111] In some aspects, a CSI report indicating a first predicted measurement associated with CPR (e.g., a first CSI report) may include a recommendation to change the CMR to be used to predict CPR, and an indication to one or more second CMRs (e.g., recommended alternative CMRs) may be included in a non-periodic CSI report triggered in conjunction with the recommendation to change the CMR. For example, as Figure 6BAs shown by reference numeral 665, a CSI report (e.g., a first CSI report) may include channel characteristic prediction results (e.g., a first predicted measurement based on or otherwise associated with a measurement of a first CMR in a first time-domain measurement timing) and an indication of whether to change one or more of the CMRs to be used for predicting the CPR (e.g., a recommendation to change one or more of the first CMRs). In conjunction with the CSI report (e.g., the first CSI report) indicating the recommendation to change one or more of the CMRs, another CSI report (e.g., an aperiodic CSI report) may be triggered, and the other CSI report (e.g., the aperiodic CSI report) may include detailed recommendations for changing the CMRs (e.g., an indication for one or more second CMRs). For example, UE 120 may indicate in the first CSI report whether it recommends any changes to the first CMRs used for predicting the CPR. In conjunction with receiving the indication of the recommendation to change one or more CMRs in the first CSI report, network node 110 may send an indication to UE 120 to trigger an aperiodic CSI report. UE 120 may receive an indication for triggering an aperiodic CSI report, and UE 120 may send an aperiodic CSI report (e.g., in the payload of the aperiodic CSI report) including an indication for one or more CMRs (e.g., one or more alternative CMRs recommended by UE 120).

[0112] In some examples, the first CSI report may include a one-bit indication of whether the UE 120 recommends changing any of the current measured CMRs (e.g., any of the first CMRs) used to predict the CPR to an alternative CMR. For example, a first value (e.g., 1) of the one-bit indication may indicate a recommendation to change the CMR, and a second value (e.g., 0) of the one-bit indication may indicate a recommendation not to change the CMR. In such an example, network node 110 may trigger an aperiodic CSI report (e.g., by sending an indication for triggering an aperiodic CSI report) in conjunction with the one-bit indication of the first value in the first CSI report. The payload of the aperiodic CSI report may include indications for one or more second CMRs. For example, one or more second CMRs (or one or more Type D-QCL reference sources associated with one or more second CMRs) may be indicated in the aperiodic CSI report in a manner similar to that described above in conjunction with the first CSI report.

[0113] In some other examples, the first CSI report may include a bitmap indicating whether UE 120 recommends changing one or more CMRs (e.g., one or more first CMRs) of the current measurement used to predict CPR to an alternative CMR. The bitmap may include bits corresponding to the first CMRs. For example, the bitmap may include corresponding bits corresponding to each of the one or more first CMRs. Each bit of the bitmap may indicate whether UE 120 recommends changing the corresponding first CMR to an alternative CMR. For example, a first value (e.g., 1) of the bitmap may indicate a recommendation to change the corresponding first CMR, and a second value (e.g., 0) of the bitmap may indicate a recommendation not to change the corresponding first CMR. Thus, the bitmap may indicate which CMR of the first CMRs UE 120 recommends changing. In such an example, network node 110 may trigger an aperiodic CSI report by combining a bitmap indicating a recommendation to change one or more of the first CMRs (e.g., combining one or more bits indicating the first value of the bitmap). The payload size of an aperiodic CSI report can be based on or otherwise associated with the number of bits in a bitmap indicating a first value. For example, an indication of one or more second CMRs in the payload of an aperiodic CSI report can indicate a corresponding second CMR for each first CMR, with the corresponding bits of the bitmap indicating a first value for each first CMR. For example, a second CMR can be indicated in an aperiodic CSI report using a corresponding CMR ID and / or a corresponding CMR set ID, or a Type D-QCL reference source associated with a second CMR can be indicated in an aperiodic CSI report using a corresponding Type D-QCL reference source ID.

[0114] In some other examples, the first CSI report may include an indication of the number of first CMRs recommended to be changed. For example, UE 120 may indicate in the first CSI report the number of first CMRs that UE 120 recommends to be changed. In such an example, network node 110 may trigger an aperiodic CSI report by combining the number of one or more first CMRs recommended to be changed indicated in the first CSI report. In such an example, the payload of the aperiodic CSI report may include an indication of each of the first CMRs recommended to be changed and an indication of a corresponding second CMR for each of the first CMRs recommended to be changed.

[0115] In some aspects, indications for one or more second CMRs (e.g., recommended alternative CMRs for predicting CPR measurements) may be included in the MAC-CE. For example, UE 120 may send, and network node 110 may receive, a MAC-CE that includes indications for one or more second CMRs. In such an example, UE 120 may report in the payload of the MAC-CE an alternative CMR (e.g., a second CMR) recommended for measurement for one or more time-domain measurement opportunities, or an alternative type D-QCL reference source associated with the alternative CMR (e.g., a type D-QCL reference source associated with the second CMR).

[0116] In some examples, the indication of a second CMR in the MAC-CE may include information that explicitly identifies each CMR in the second CMR (e.g., each recommended CMR). For example, the indication of a second CMR in the MAC-CE may include a corresponding indication of the CMR ID associated with each of the one or more second CMRs. In another example, if multiple candidate CMR sets are configured in the configuration information, the indication of a second CMR in the MAC-CE for each of the one or more second CMRs may include a corresponding indication of the CMR set ID used to identify the CMR set in the multiple candidate CMR sets, and a corresponding indication of the CMR identifier used to identify the CMRs within the CMR set. In some other examples, the configuration information may indicate multiple candidate CMR sets, and the indication of a second CMR in the MAC-CE may include an indication of the CMR set ID associated with the CMR set in the multiple candidate CMR sets. In some other examples, the configuration information may indicate multiple configured UE recommendation options for candidate CMRs, and each of the multiple configured UE recommendation options may correspond to a corresponding combination of one or more CMRs in the candidate CMRs. In such an example, the indication of the second CMR in the MAC-CE may include an indication of the ID associated with a UE recommendation option among a plurality of configured UE recommendation options.

[0117] In some examples, the indication of a second CMR in the MAC-CE may include an indication of one or more Type D-QCL reference sources associated with one or more second CMRs (e.g., an indication of one or more recommended Type D-QCL reference sources). In some examples, the configuration information may indicate multiple candidate Type D-QCL reference sources, and the indication of one or more Type D-QCL reference sources in the MAC-CE may include, for each of the one or more second CMRs, a corresponding indication of the Type D-QCL reference source ID associated with a candidate Type D-QCL reference source among the multiple candidate Type D-QCL reference sources. In some other examples, the configuration information may indicate multiple configured UE recommendation options for candidate Type D-QCL reference sources, and each of the multiple configured UE recommendation options may correspond to a corresponding combination of one or more candidate Type D-QCL reference sources among the candidate Type D-QCL reference sources. In such examples, the indication of one or more Type D-QCL reference sources in the MAC-CE may include an indication of the ID associated with a UE recommendation option among the multiple configured UE recommendation options.

[0118] In some aspects, the CMR (or the type D-QCL reference source associated with the CMR) used to predict measurements for CPR can be varied across consecutive time-domain measurement timings based on or otherwise associated with a specific pattern. For example, configuration information may indicate a first CMR pattern for changing the CMR used to predict measurements for CPR across multiple time-domain measurement timings, and the first CMR measured in the first time-domain measurement timing may be determined based on or otherwise associated with the first CMR pattern. In such an example, UE 120 may recommend an alternative CMR pattern different from the current CMR pattern (e.g., the first CMR pattern). For example, indications for one or more second CMRs (e.g., included in MAC-CE, the first CSI report, or an aperiodic CSI report) may include indications for changing the second CMR pattern used to predict measurements for CPR across multiple time-domain measurement timings. In such an example, network node 110 and UE 120 may determine one or more second CMRs to be transmitted by network node 110 and measured by UE 120 during a second time-domain measurement, based on or otherwise associated with a second CMR pattern. In some examples, configuration information may indicate a first random seed associated with a cyclic formula used to determine the first CMR pattern. In such examples, the indication of one or more second CMRs (e.g., included in MAC-CE, a first CSI report, or an aperiodic CSI report) may include an indication of a second random seed (e.g., an alternative random seed to the first random seed) to be used with the cyclic formula to determine the second CMR pattern.

[0119] In some aspects (e.g., included in MAC-CE, the first CSI report, or a non-periodic CSI report), an indication of one or more second CMRs may include an indication of a recommended duration associated with one or more second CMRs (or a recommended type D-QCL reference source associated with a second CMR). For example, an indication of the recommended duration may be an indication of the recommended number of upcoming time-domain measurement opportunities for which a recommended CMR (e.g., one or more second CMRs) or a recommended type D-QCL reference source (e.g., a type D-QCL reference source associated with a second CMR) will be used. In some examples, the duration recommended by UE 120 may be a recommendation of a duration (e.g., multiple time-domain measurement opportunities) for which a second CMR will be used to predict the measurement of CPR, and after that duration, a first CMR (e.g., an initial or default CMR) will be used again to predict the measurement of CPR.

[0120] Return to Figure 6A As shown by reference numeral 640 in the accompanying drawings, network node 110 may transmit one or more signals associated with one or more second CMRs during a first time-domain measurement opportunity associated with a CSI report, and UE 120 may receive such one or more signals. For example, network node 110 may use resources associated with the second CMR to transmit downlink reference signals (e.g., SSB and / or CSI-RS). In some aspects, network node 110 may transmit signals (e.g., downlink reference signals) using only the second CMR (e.g., the CMR recommended by UE 120) during a second time-domain measurement opportunity. In other words, network node 110 may transmit signals only via set B beams recommended by UE 120 (e.g., set B beams associated with the second CMR) during a second time-domain measurement opportunity. In some other aspects, network node 110 may use resources other than the second CMR to transmit signals (e.g., downlink reference signals). For example, network node 110 may transmit signals on all or a subset of set A beams (e.g., using resources associated with all or a subset of CPRs).

[0121] like Figure 6AAs further shown by reference numeral 645, UE 120 can perform measurements of the second CMR during the second time-domain measurement timing. UE 120 can perform measurements of signals associated with the second CMR. For example, UE 120 can perform L1 RSRP measurements, L1 SINR measurements, CQI measurements, RI measurements, PMI measurements, and / or LI measurements of signals associated with the second CMR. In some aspects, in an example where network node 110 uses resources other than the second CMR to transmit signals during the second time-domain measurement timing, UE 120 can perform measurements only of signals transmitted using the second CMR during the second time-domain measurement timing.

[0122] In some aspects, UE 120 may perform a measurement of the second CMR during a second time-domain measurement timing based on or otherwise associated with sending an indication for one or more second CMRs to network node 110. In some aspects, network node 110 may send a signal associated with the second CMR during a second time-domain measurement timing based on or otherwise associated with receiving an indication for one or more second CMRs from UE 120. In some examples, the timing of the second time-domain measurement timing may be based on or otherwise associated with the transmission of an indication for one or more second CMRs from UE 120 to network node 110, during which network node 110 sends a signal associated with the second CMR and UE 120 performs a measurement of the second CMR (e.g., during the second time-domain measurement timing, network node 110 and UE 120 switch from using a first CMR to a second CMR). Alternatively, the timing of the second time-domain measurement may be based on or otherwise associated with communications sent from network node 110 to UE 120 following the transmission of an indication of one or more second CMRs from UE 120 to network node 110.

[0123] Figure 6CExamples 670 and 680 are illustrated in association with the application of an alternative CMR recommended by UE 120. In examples 670 and 680, UE 120 may send a recommendation for an alternative CMR (e.g., a second CMR) to network node 110 after measuring a first CMR (e.g., an initial or default CMR) in a previous measurement timing. For example, the recommendation for the alternative CMR (e.g., an indication of the second CMR) may be included in a CSI report (which includes a predicted measurement value determined using the measurement of the first CMR in the previous measurement timing), an aperiodic CSI report, or a MAC-CE, as described elsewhere herein. As shown in example 670, in some aspects, after UE 120 sends the recommendation for the alternative CMR to network node 110 (e.g., without any further confirmation from network node 110), the recommended alternative CMR may be applied to the next measurement timing. For example, after UE 120 sends a recommendation for an alternative CMR to network node 110, UE 120 can begin measuring the recommended alternative CMR at the next measurement opportunity. For instance, in the example where UE 120 sends a recommendation for an alternative CMR in a CSI report, after sending a CSI report carrying detailed CMR recommendations, UE 120 can expect to measure the recommended alternative CMR at the next measurement opportunity. In such an example, after network node 110 receives the recommendation for the alternative CMR from UE 120, network node 110 can send a signal associated with the recommended alternative CMR at the next measurement opportunity.

[0124] As shown in Example 680, in some aspects, network node 110 may send, and UE 120 may receive, confirmation of a recommended alternative CMR or an explicit indication to change the CMR to be measured to the recommended alternative CMR, and the change to the recommended alternative CMR may be applied to the next measurement timing after UE 120 receives the confirmation or explicit indication of the recommended alternative CMR. In such an example, UE 120 may wait for further confirmation of the recommended CMR (or explicit signaling regarding the change of the CMR) from network node 110 before measuring the recommended CMR. In some examples, the explicit signaling from network node 110 regarding the change of the CMR may include reconfiguration and / or reactivation of the CMR to be measured. Compared to previous measurement timings, acknowledgments or explicit signaling sent by network node 110 may result in a different number of CMRs being measured in the next measurement timing (after UE 120 receives the acknowledgment or explicit signaling). (For example, assuming a variable number of CMRs supported by the recommended UE 120).

[0125] Figure 6DAnother example 690 is shown in association with the application of an alternative CMR recommended by UE 120. In example 690, UE 120 may send a MAC-CE-based recommendation for an alternative CMR (e.g., a MAC-CE including indications for one or more second CMRs) to network node 110 after measuring a first CMR (e.g., an initial or default CMR) at a previous measurement timing. As shown in example 690, in some aspects, in conjunction with network node 110 receiving a MAC-CE including a recommendation for the alternative CMR, network node 110 may send and UE 120 may receive an acknowledgment (ACK) of the MAC-CE, and the recommended alternative CMR may be applied to the time offset from when the ACK is received from UE 120 (e.g., X The next measurement timing after ms. For example, after UE 120 receives the ACK for MAC-CE from network node 110. X ms, UE 120 can anticipate that the CMR to be measured (or the type D-QCL reference source associated with the CMR) will be changed to the recommended alternative CMR reported in MAC-CE. For example, X The value can be configured by network node 110 (e.g., in configuration information) or can be defined in wireless communication standards (e.g., 3GPP standards). In such an example, network node 110 can send a signal associated with the recommended alternative CMR, and UE 120 can receive an ACK from UE 120. X The recommended alternative CMR measurement will be performed at the next measurement opportunity after ms.

[0126] Return to Figure 6AAs shown by reference numeral 650 in the accompanying figure, UE 120 may use (e.g., based on or otherwise associated with) measurements of the second CMR to determine a second predicted measurement for the CPR associated with the CSI report. For example, UE 120 may input measurements of the second CMR into an AI / ML model. In some examples, UE 120 may also input other information into the AI / ML model, such as an indication of the second CMR, a second CMR mode used to determine the second CMR, or beam / space / QCL information associated with the second CMR. The AI / ML model may output a second predicted measurement or parameter associated with the CPR, as described in more detail elsewhere herein. In some aspects, this prediction may be based on or otherwise associated with measurements performed at a single time-domain measurement time (e.g., measurements of the second CMR performed at a second time-domain measurement time). In other respects, the prediction may be based on or otherwise depend on measurements performed at multiple time-domain measurement points (e.g., UE 120 may input measurements performed at multiple time-domain measurement points (including measurements of the second CMR at a second time-domain measurement point) into an AI / ML model to obtain a second predicted measurement for CPR).

[0127] like Figure 6A As further shown by reference numeral 655, UE 120 can transmit and network node 110 can receive a CSI report (e.g., a second CSI report) indicating a second predicted measurement for CPR. For example, the CSI report may include a second predicted measurement value associated with CPR determined by UE 120 using (e.g., based on or otherwise associated with) a measurement of the second CMR. In some aspects, the CSI report may include second predicted measurements for all CPRs associated with the CSI report. In some other aspects, the CSI report may include second predicted measurements for a subset of CPRs associated with the CSI report, such as for measurements based on or otherwise associated with a CPR (e.g., having the highest predicted L1 RSRP or L1 SINR value). K The first few (e.g., CPR) determined by the second predicted measurement. K (1) CPR. In some aspects, the CSI report may include a second predicted measurement associated with the CPR, and the CSI may also include measurements for all or a subset of the second CPR.

[0128] As pointed out above, Figures 6A-6D This is provided as an example. Other examples may differ from the one provided. Figures 6A-6D The example described.

[0129] Figure 7This is a flowchart illustrating an example process 700 performed by a UE that supports UE recommendation for CMR in UE-based beam prediction, according to the present disclosure. Example process 700 is an example in which a UE (e.g., UE 120) performs operations associated with UE recommendation for CMR in UE-based beam prediction.

[0130] like Figure 7 As shown, in some aspects, process 700 may include: receiving configuration information from a network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs (box 710). For example, as described above, a UE (such as by using...) Figure 9 The communication manager 140 or receiving component 902 depicted in the diagram can receive configuration information from the network node, which indicates one or more CPRs associated with the CSI report and one or more first CMRs to be used to predict measurements for one or more CPRs.

[0131] like Figure 7 As further shown, in some aspects, process 700 may include: performing measurements on one or more first CMRs (box 720). For example, UE (such as by using...) Figure 9 The communication manager 140 or measurement component 908 depicted can perform measurements on one or more first CMRs, as described above.

[0132] like Figure 7 As further shown, in some aspects, process 700 may include: sending a first CSI report to a network node including a first predicted measurement value associated with one or more CPRs, the first predicted measurement value being based on measurements of one or more first CMRs (box 730). For example, as described above, a UE (such as by using...) Figure 9 The communication manager 140 or transmitting component 904 depicted in the diagram can send a first CSI report to a network node, which includes a first predicted measurement associated with one or more CPRs, the first predicted measurement being based on measurements of one or more first CMRs.

[0133] like Figure 7 As further shown, in some aspects, process 700 may include: sending an indication to a network node of one or more second CMRs to be used for predicting one or more CPRs (box 740). For example, a UE (such as by using...) Figure 9 The communication manager 140 or transmitting component 904 depicted herein can send instructions to network nodes for one or more second CMRs to be used for predicting measurements for one or more CPRs, as described above.

[0134] Process 700 may include additional aspects, such as any single aspect or any combination of aspects described below or in conjunction with one or more other processes described elsewhere in this document.

[0135] In a first additional aspect, process 700 includes: performing measurements of one or more second CMRs in association with sending an instruction for one or more second CMRs, and sending a second CSI report to a network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurements of one or more second CMRs.

[0136] In the second additional aspect, sending an instruction to one or more second CMRs, either alone or in conjunction with the first aspect, includes sending a MAC-CE that includes an instruction to one or more second CMRs.

[0137] In a third additional aspect, either alone or in combination with one or more of the first and second aspects, process 700 includes: receiving confirmation of MAC-CE from a network node; performing a measurement of one or more second CMRs at the next time-domain measurement timing following a time offset from the receipt of confirmation; and sending a second CSI report to the network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurement of one or more second CMRs.

[0138] In a fourth additional aspect, either alone or in combination with one or more of the first to third aspects, process 700 includes: receiving from a network node confirmation that one or more second CMRs will be used to predict measurements for one or more CPRs; performing measurements of the one or more second CMRs at a time-domain measurement timing following receipt of the confirmation; and sending to the network node a second CSI report including second predicted measurements associated with the one or more CPRs, the second predicted measurements being based on the measurements of the one or more second CMRs.

[0139] In a fifth additional aspect, either alone or in combination with one or more of the first to fourth aspects, process 700 includes: performing a measurement of one or more second CMRs at the next time-domain measurement opportunity following the transmission of an indication for one or more second CMRs, and sending a second CSI report to a network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurement of one or more second CMRs.

[0140] In the sixth additional aspect, either alone or in combination with one or more of the first to fifth aspects, the configuration information indicates multiple UE recommendation options for multiple CMRs, each of the multiple UE recommendation options corresponding to a corresponding combination of one or more CMRs among the multiple CMRs, and the indication of one or more second CMRs includes an indication of an identifier associated with a UE recommendation option among the multiple UE recommendation options.

[0141] In the seventh additional aspect, the configuration information indicates multiple CMR sets, either alone or in combination with one or more of the first to sixth aspects, and the indication of one or more second CMRs includes the indication of a CMR set identifier associated with a CMR set among the multiple CMR sets.

[0142] In the eighth additional aspect, the configuration information indicates a plurality of CMR sets, either alone or in combination with one or more of the first to seventh aspects, and the indication of one or more second CMRs includes: for each of the one or more second CMRs, a corresponding indication of a CMR set identifier that identifies a CMR set among the plurality of CMR sets, and a corresponding indication of a CMR identifier that identifies a CMR within a CMR set.

[0143] In the ninth additional aspect, either alone or in combination with one or more of the first to eighth aspects, the indication of one or more second CMRs includes a corresponding indication of a CMR identifier associated with each of the one or more second CMRs.

[0144] In the tenth additional aspect, either alone or in combination with one or more of the first to ninth aspects, the indication of one or more second CMRs includes the indication of one or more type D-QCL reference sources associated with one or more second CMRs.

[0145] In the eleventh additional aspect, the configuration information indicates a plurality of candidate type D-QCL reference sources, either alone or in combination with one or more of the first to tenth aspects, and the indication of one or more type D-QCL reference sources includes a corresponding indication of a candidate type D-QCL reference source for each of the plurality of candidate type D-QCL reference sources for one or more second CMRs.

[0146] In the twelfth additional aspect, either alone or in combination with one or more of the first to eleventh aspects, the configuration information indicates multiple UE recommendation options for multiple candidate type D-QCL reference sources, each of the multiple UE recommendation options corresponding to a corresponding combination of one or more candidate type D-QCL reference sources among the multiple candidate type D-QCL reference sources, and the indication of one or more type D-QCL reference sources includes the indication of an identifier associated with a UE recommendation option among the multiple UE recommendation options.

[0147] In the thirteenth additional aspect, one or more type D-QCL reference sources are associated with one or more downlink or uplink reference signals, either alone or in combination with one or more of the first to twelfth aspects.

[0148] In the fourteenth additional aspect, individually or in combination with one or more of the first to thirteenth aspects, one or more type D-QCL reference sources are associated with one or more downlink AoA or AoD values.

[0149] In the fifteenth additional aspect, either alone or in combination with one or more of the first to fourteenth aspects, indications for one or more second CMRs are included in the first CSI report.

[0150] In the sixteenth additional aspect, either alone or in combination with one or more of the first to fifteenth aspects, the first CSI report includes an indication of a recommended change to the CMR to be used for predicting CPR, and an indication of one or more second CMRs is included in a non-periodic CSI report triggered in combination with the indication of a recommended change to the CMR to be used for predicting CPR.

[0151] In the seventeenth additional aspect, either alone or in combination with one or more of the first to sixteenth aspects, process 700 includes receiving an instruction from a network node to trigger an aperiodic CSI report in combination with an instruction to change the CMR to be used for predicting CPR.

[0152] In the eighteenth additional aspect, either alone or in combination with one or more of the first to seventeenth aspects, the recommendation for changing the CMR includes a one-bit indication of the recommendation for changing the CMR to be used for predicting CPR.

[0153] In the nineteenth additional aspect, either alone or in combination with one or more of the first to eighteenth aspects, the indication of a recommendation to change a CMR includes a bitmap, the bitmap including a corresponding bit corresponding to each of one or more first CMRs, the corresponding bit corresponding to each first CMR indicating a first value combined with a recommendation to change a first CMR or a second value combined with a recommendation not to change a first CMR, and the indication of one or more second CMRs includes an indication of a corresponding second CMR for each first CMR, the corresponding bit corresponding to each first CMR indicating a first value.

[0154] In the twentieth additional aspect, either alone or in combination with one or more of the first to nineteenth aspects, the instruction for the recommendation to change a CMR includes an instruction for the number of first CMRs recommended to be changed in one or more first CMRs, and the instruction for one or more second CMRs includes an instruction for each first CMR recommended to be changed and an instruction for a corresponding second CMR for each first CMR recommended to be changed in the first CMRs.

[0155] In the twenty-first additional aspect, either alone or in combination with one or more of the first to twentieth aspects, the configuration information indicates a first CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, one or more first CMRs being associated with the first CMR mode, and the indication of one or more second CMRs includes an indication of a second CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, and one or more second CMRs being associated with the second CMR mode.

[0156] In the twenty-second additional aspect, either alone or in combination with one or more of the first to twenty-first aspects, the indication of one or more second CMRs includes an indication of the recommended duration associated with one or more second CMRs.

[0157] Although Figure 7 An example box of process 700 is shown, but in some aspects, process 700 may include... Figure 7 The boxes depicted in the diagram are compared to additional boxes, fewer boxes, different boxes, or boxes arranged in a different manner. Alternatively, two or more boxes in the process 700 can be executed in parallel.

[0158] Figure 8This is a flowchart illustrating an example process 800 performed by a network node, for example, supporting UE recommendation for CMR in UE-based beam prediction, according to the present disclosure. Example process 800 is an example in which a network node (e.g., network node 110) performs operations associated with UE recommendation for CMR in UE-based beam prediction.

[0159] like Figure 8 As shown, in some aspects, process 800 may include: sending configuration information to the UE, the configuration information indicating one or more CPRs associated with the CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs (box 810). For example, as described above, network nodes (such as those using...) Figure 10 The communication manager 150 or transmission component 1004 depicted in the figure can send configuration information to the UE, the configuration information indicating one or more CPRs associated with the CSI report and one or more first CMRs to be used to predict measurements for one or more CPRs.

[0160] like Figure 8 As further shown, in some aspects, process 800 may include: receiving from the UE a first CSI report including a first predicted measurement value associated with one or more CPRs, the first predicted measurement value being based on measurements of one or more first CMRs (box 820). For example, as described above, network nodes (such as those using...) Figure 10 The communication manager 150 or receiving component 1002 depicted in the figure can receive a first CSI report from the UE, which includes a first predicted measurement value associated with one or more CPRs, the first predicted measurement value being based on a measurement of one or more first CMRs.

[0161] like Figure 8 As further shown, in some aspects, process 800 may include: receiving from the UE an indication of one or more second CMRs to be used for predicting one or more CPRs (box 830). For example, a network node (such as by using...) Figure 10 The communication manager 150 or receiving component 1002 depicted herein may receive from the UE an indication of one or more second CMRs to be used for predicting one or more CPRs, as described above.

[0162] Process 800 may include additional aspects, such as any single aspect or any combination of aspects described below or in conjunction with one or more other process descriptions elsewhere in this document.

[0163] In a first additional aspect, process 800 includes: receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on a measurement of one or more second CMRs.

[0164] In a second additional aspect, receiving an instruction for one or more second CMRs, either alone or in combination with the first aspect, includes receiving a MAC-CE that includes an instruction for one or more second CMRs.

[0165] In a third additional aspect, either alone or in combination with one or more of the first and second aspects, process 800 includes: sending confirmation of MAC-CE to the UE, and receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on a measurement of one or more second CMRs at a time-domain measurement timing following a time offset from confirmation.

[0166] In a fourth additional aspect, either alone or in combination with one or more of the first to third aspects, process 800 includes: sending an acknowledgment to the UE regarding one or more second CMRs to be used to predict measurements for one or more CPRs; and receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on measurements of one or more second CMRs at a time-domain measurement timing following the acknowledgment.

[0167] In the fifth additional aspect, either alone or in combination with one or more of the first to fourth aspects, the configuration information indicates multiple UE recommendation options for multiple CMRs, each of the multiple UE recommendation options corresponding to a corresponding combination of one or more CMRs among the multiple CMRs, and the indication of one or more second CMRs includes an indication of an identifier associated with a UE recommendation option among the multiple UE recommendation options.

[0168] In a sixth additional aspect, the configuration information indicates multiple CMR sets, either alone or in combination with one or more of the first to fifth aspects, and the indication of one or more second CMRs includes an indication of a CMR set identifier associated with a CMR set among the multiple CMR sets.

[0169] In the seventh additional aspect, either alone or in combination with one or more of the first to sixth aspects, the configuration information indicates a plurality of CMR sets, and the indication of one or more second CMRs includes: for each of the one or more second CMRs, a corresponding indication of a CMR set identifier that identifies a CMR set among the plurality of CMR sets, and a corresponding indication of a CMR identifier that identifies a CMR within a CMR set.

[0170] In the eighth additional aspect, either alone or in combination with one or more of the first to seventh aspects, the indication of one or more second CMRs includes a corresponding indication of a CMR identifier associated with each of the one or more second CMRs.

[0171] In the ninth additional aspect, either alone or in combination with one or more of the first to eighth aspects, the indication of one or more second CMRs includes the indication of one or more type D-QCL reference sources associated with one or more second CMRs.

[0172] In the tenth additional aspect, the configuration information indicates a plurality of candidate type D-QCL reference sources, either alone or in combination with one or more of the first to ninth aspects, and the indication of one or more type D-QCL reference sources includes a corresponding indication of a candidate type D-QCL reference source for each of the plurality of candidate type D-QCL reference sources for one or more second CMRs.

[0173] In the eleventh additional aspect, either alone or in combination with one or more of the first to tenth aspects, the configuration information indicates multiple UE recommendation options for multiple candidate type D-QCL reference sources, each of the multiple UE recommendation options corresponding to a corresponding combination of one or more candidate type D-QCL reference sources, and the indication of one or more type D-QCL reference sources includes the indication of an identifier associated with a UE recommendation option among the multiple UE recommendation options.

[0174] In the twelfth additional aspect, one or more type D-QCL reference sources are associated with one or more downlink or uplink reference signals, either alone or in combination with one or more of the first to eleventh aspects.

[0175] In the thirteenth additional aspect, one or more Type D-QCL reference sources are associated with one or more downlink AoA or AoD values, either alone or in combination with one or more of the first to twelfth aspects.

[0176] In the fourteenth additional aspect, either alone or in combination with one or more of the first to thirteenth aspects, indications for one or more second CMRs are included in the first CSI report.

[0177] In the fifteenth additional aspect, either alone or in combination with one or more of the first to fourteenth aspects, the first CSI report includes an indication of a recommended change to the CMR to be used for predicting CPR, and an indication of one or more second CMRs is included in an aperiodic CSI triggered in combination with the indication of a recommended change to the CMR to be used for predicting CPR.

[0178] In the sixteenth additional aspect, either alone or in combination with one or more of the first to fifteenth aspects, process 800 includes: sending an instruction to the UE to trigger an aperiodic CSI report in combination with an instruction to change the CMR to be used for predicting CPR.

[0179] In the seventeenth additional aspect, either alone or in combination with one or more of the first to sixteenth aspects, the recommendation for changing the CMR includes a one-bit indication of the recommendation to change the CMR to be used for predicting the CPR.

[0180] In the eighteenth additional aspect, either alone or in combination with one or more of the first to seventeenth aspects, the indication of a recommendation to change a CMR includes a bitmap, the bitmap including a corresponding bit corresponding to each of one or more first CMRs, the corresponding bit corresponding to each first CMR indicating a first value combined with a recommendation to change a first CMR or a second value combined with a recommendation not to change a first CMR, and the indication of one or more second CMRs includes an indication of a corresponding second CMR for each first CMR, the corresponding bit corresponding to each first CMR indicating a first value.

[0181] In the nineteenth additional aspect, either alone or in combination with one or more of the first to eighteenth aspects, the instruction for a recommendation to change a CMR includes an instruction for the number of first CMRs recommended to be changed in one or more first CMRs, and the instruction for one or more second CMRs includes an instruction for each first CMR recommended to be changed and an instruction for a corresponding second CMR for each first CMR recommended to be changed in the first CMRs.

[0182] In the twentieth additional aspect, alone or in combination with one or more of the first to nineteenth aspects, the configuration information indicates a first CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, one or more first CMRs being associated with the first CMR mode, and the indication of one or more second CMRs includes an indication of a second CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, and one or more second CMRs being associated with the second CMR mode.

[0183] In the twenty-first additional aspect, either alone or in combination with one or more of the first to twentieth aspects, the indication of one or more second CMRs includes an indication of the recommended duration associated with one or more second CMRs.

[0184] Although Figure 8 An example box of process 800 is shown, but in some aspects, process 800 may include... Figure 8 The boxes depicted in the diagram are compared to additional boxes, fewer boxes, different boxes, or boxes arranged in a different manner. Alternatively, two or more boxes in the process 800 can be executed in parallel.

[0185] Figure 9 This is a figure of an example device 900 for wireless communication recommended by a UE for CMR in UE-based beam prediction, in accordance with the present disclosure. Device 900 may be a UE, or a UE may include device 900. In some aspects, device 900 includes a receiving component 902, a transmitting component 904, and a communication component 140, which can communicate with each other (e.g., via one or more buses). As shown, device 900 can use the receiving component 902 and the transmitting component 904 to communicate with another device 906 (such as a UE, a network node, or another wireless communication device).

[0186] In some respects, device 900 may be configured and / or operable to perform the functions described herein. Figures 6A-6D One or more operations described herein. Alternatively or concurrently, device 900 may be configured and / or operable to perform one or more processes described herein, such as... Figure 7 The process 700. In some aspects, the apparatus 900 may include the above-described combination. Figure 2 One or more components of the UE as described.

[0187] Receiver 902 may receive communications from device 906, such as reference signals, control information, and / or data communications. Receiver 902 may provide the received communications to one or more other components of device 900 (e.g., communication manager 140). In some aspects, receiver 902 may perform signal processing on the received communications (e.g., filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.), and may provide the processed signal to one or more other components. In some aspects, receiver 902 may include the elements described above. Figure 2 The described UE includes one or more antennas, modems, demodulators, MIMO detectors, receiver processors, controllers / processors, and / or memory.

[0188] Transmitting component 904 can send communications, such as reference signals, control information, and / or data communications, to device 906. In some aspects, communication manager 140 can generate communications and send the generated communications to transmission component 904 for transmission to device 906. In some aspects, transmitting component 904 can perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, and other examples) on the generated communications and can send the processed signals to device 906. In some aspects, transmitting component 904 can include the above-described combinations. Figure 2 The described UE includes one or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, and / or memory. In some aspects, the transmit component 904 may be co-located with the receive component 902 in a transceiver.

[0189] Communication manager 140 may receive configuration information from a network node, or may cause receiving component 902 to receive configuration information from a network node. The configuration information indicates one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. Communication manager 140 may perform measurements on the one or more first CMRs. Communication manager 140 may send, or may cause sending component 904 to send to the network node a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. Communication manager 140 may send, or may cause sending component 904 to send to the network node an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs. In some aspects, communication manager 140 may perform one or more operations otherwise described herein as being performed by one or more components of communication manager 140.

[0190] Communication manager 140 may include the above-mentioned combination Figure 2 The described UE includes a controller / processor and / or memory. In some aspects, the communication manager 140 includes a set of components such as measurement component 908. Alternatively, the set of components may be separate from and different from the communication manager 140. In some aspects, one or more components in the set of components may include those described above. Figure 2 The described UE's controller / processor and / or memory, or may be implemented therein. Additionally or alternatively, one or more components of the component set may be implemented at least partially as software stored in memory. 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 a controller or processor to perform the component's function or operation.

[0191] The receiving component 902 can receive configuration information from the network node, the configuration information indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The measurement component 908 can perform measurements on the one or more first CMRs. The transmitting component 904 can send a first CSI report to the network node including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The transmitting component 904 can also send an indication to the network node of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0192] Measurement component 908 can perform measurements of one or more second CMRs in association with sending an instruction for one or more second CMRs. Transmission component 904 can send a second CSI report to a network node, including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurements of one or more second CMRs.

[0193] Transmitting component 904 can transmit a MAC-CE including an indication of one or more second CMRs. Receiving component 902 can receive confirmation of the MAC-CE from the network node. Measurement component 908 can perform measurements of one or more second CMRs at the next time-domain measurement opportunity after the time offset from receiving the confirmation. Transmitting component 904 can send a second CSI report to the network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurements of one or more second CMRs.

[0194] The receiving component 902 can receive confirmation from the network node regarding one or more second CMRs to be used for predicting measurements for one or more CPRs. The measurement component 908 can perform measurements on the one or more second CMRs at a time-domain measurement timing after receiving the confirmation. The transmitting component 904 can send a second CSI report to the network node including second predicted measurements associated with one or more CPRs, the second predicted measurements being based on measurements of the one or more second CMRs.

[0195] The measurement component 908 can perform measurements of one or more second CMRs at the next time-domain measurement opportunity after sending an instruction for one or more second CMRs.

[0196] The transmitting component 904 can send a second CSI report to a network node, including a second predicted measurement associated with one or more CPRs, the second predicted measurement being based on measurements of one or more second CMRs. The receiving component 902 can receive from the network node an instruction to trigger an aperiodic CSI report in conjunction with an instruction to change the recommended CMRs used to predict measurements for CPRs.

[0197] Figure 9 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 9 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 9 The two or more components shown can be implemented within a single component, or Figure 9 The single component shown can be implemented as multiple distributed components. Alternatively, Figure 9 The set (one or more) components shown can perform actions described by Figure 9 The other set of components shown performs one or more functions.

[0198] Figure 10 This is a diagram of an example apparatus 1000 for wireless communication recommended by a UE for CMR in UE-based beam prediction, in accordance with the present disclosure. Apparatus 1000 may be a network node, or a network node may include apparatus 1000. In some aspects, apparatus 1000 includes a receiving component 1002, a transmitting component 1004, and a communication component 150, which can communicate with each other (e.g., via one or more buses). As shown, apparatus 1000 can use the receiving component 1002 and the transmitting component 1004 to communicate with another apparatus 1006 (such as a UE, a network node, or another wireless communication device).

[0199] In some respects, device 1000 may be configured and / or operable to perform the functions described herein. Figures 6A-6D One or more operations described herein. Alternatively or concurrently, the apparatus 1000 may be configured and / or operable to perform one or more processes described herein, such as... Figure 8 The process 800. In some aspects, the apparatus 1000 may include the above-described combination. Figure 2 One or more components of the network node described.

[0200] Receiver 1002 may receive communications from device 1006, such as reference signals, control information, and / or data communications. Receiver 1002 may provide the received communications to one or more other components of device 1000 (e.g., communication manager 150). In some aspects, receiver 1002 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding), and may provide the processed signal to one or more other components. In some aspects, receiver 1002 may include the elements described above. Figure 2 The network node described includes one or more antennas, modems, demodulators, MIMO detectors, receiver processors, controllers / processors, and / or memory.

[0201] The transmitting component 1004 can transmit communications, such as reference signals, control information, and / or data communications, to the device 1006. In some aspects, the communication manager 150 can generate communications and send the generated communications to the transmitting component 1004 for transmission to the device 1006. In some aspects, the transmitting component 1004 can perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, and other examples) on the generated communications and can send the processed signals to the device 1006. In some aspects, the transmitting component 1004 can include the above-described combinations. Figure 2 The described network node includes one or more antennas, a modem, a modulator, a transmit MIMO processor, a transmit processor, a controller / processor, and / or a memory. In some aspects, the transmit component 1004 may be co-located with the receive component 1002 in a transceiver.

[0202] Communication manager 150 may send, or may cause transmitting component 1004 to send, configuration information to the UE, indicating one or more CPRs associated with a CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. Communication manager 150 may receive, or may cause receiving component 1002 to receive from the UE, a first CSI report including a first predicted measurement value associated with one or more CPRs, the first predicted measurement value being based on measurements of one or more first CMRs. Communication manager 150 may receive, or may cause receiving component 1002 to receive from the UE, an indication of one or more second CMRs to be used for predicting measurements for one or more CPRs. In some aspects, communication manager 150 may perform one or more operations as described elsewhere herein by one or more components of communication manager 150.

[0203] Communication manager 150 may include the above-mentioned combination Figure 2 The network node described includes a controller / processor, memory, scheduler, and / or communication unit. In some aspects, the communication manager 150 includes a set of components, such as determining component 1008. Alternatively, the set of components may be separate from and different from the communication manager 150. In some aspects, one or more components in the set of components may include those described above. Figure 2 The described base station includes, or may include, a controller / processor, memory, scheduler, and / or communication unit. Alternatively, one or more components in the set of components may be implemented at least partially as software stored in memory. For example, a component (or a portion thereof) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or processor to perform the component's function or operation.

[0204] The transmitting component 1004 can send configuration information to the UE, the configuration information indicating one or more CPRs associated with the CSI report and one or more first CMRs to be used for predicting measurements for the one or more CPRs. The receiving component 1002 can receive from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs. The receiving component 1002 can receive from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0205] The determining component 1008 can determine one or more CPRs and / or one or more first CMRs.

[0206] The receiving component 1002 can receive a second CSI report from the UE, which includes a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on a measurement of one or more second CMRs.

[0207] The receiving component 1002 can receive a MAC-CE including an indication of one or more second CMRs. The transmitting component 1004 can send an acknowledgment of the MAC-CE to the UE. The receiving component 1002 can receive from the UE a second CSI report including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on a measurement of one or more second CMRs at a time-domain measurement timing after the time offset from the acknowledgment.

[0208] The transmitting component 1004 can send an acknowledgment to the UE regarding one or more second CMRs to be used to predict measurements for one or more CPRs. The receiving component 1002 can receive from the UE a second CSI report including second predicted measurement values ​​associated with one or more CPRs, the second predicted measurement values ​​being based on measurements of one or more second CMRs at a time-domain measurement timing following the acknowledgment.

[0209] The transmitting component 1004 can send an instruction to the UE to trigger an aperiodic CSI report in conjunction with an indication to change the recommended CMR for predicting CPR measurements.

[0210] Figure 10 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 10 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 10 The two or more components shown can be implemented within a single component, or Figure 10 The single component shown can be implemented as multiple distributed components. Alternatively, Figure 10 The set (one or more) components shown can perform actions described by Figure 10 The other set of components shown performs one or more functions.

[0211] The following provides an overview of some aspects of this disclosure:

[0212] Aspect 1: A method of wireless communication performed at a user equipment (UE), comprising: receiving configuration information from a network node, the configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used for predicting measurements for the one or more CPRs; performing measurements on the one or more first CMRs; sending to the network node a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on the measurements on the one or more first CMRs; and sending to the network node an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0213] Aspect 2: The method according to aspect 1 further includes: performing a measurement of one or more second CMRs in association with sending an instruction for one or more second CMRs; and sending a second CSI report to a network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurement of one or more second CMRs.

[0214] Aspect 3: The method according to any one of Aspects 1-2, wherein sending an indication to one or more second CMRs comprises: sending a Media Access Control (MAC) control element (MAC-CE) including an indication to one or more second CMRs.

[0215] Aspect 4: The method according to aspect 3 further includes: receiving confirmation of MAC-CE from a network node; performing a measurement of one or more second CMRs at the next time-domain measurement timing after the time offset from receiving the confirmation; and sending a second CSI report to the network node including a second predicted measurement value associated with one or more CMRs, the second predicted measurement value being based on the measurement of one or more second CMRs.

[0216] Aspect 5: The method according to any one of Aspects 1-3 further includes: receiving from a network node confirmation that one or more second CMRs will be used to predict measurements for one or more CPRs; performing measurements of one or more second CMRs at a time-domain measurement timing following receipt of the confirmation; and sending to the network node a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on the measurement of one or more second CMRs.

[0217] Aspect 6: The method according to any one of Aspects 1-3 further includes: performing a measurement of the one or more second CMRs at the next time-domain measurement opportunity following the transmission of an indication of the one or more second CMRs; and sending a second CSI report to the network node including a second predicted measurement value associated with the one or more CMRs, the second predicted measurement value being based on the measurement of the one or more second CMRs.

[0218] Aspect 7: The method according to any one of Aspects 1-6, wherein the configuration information indicates a plurality of UE recommendation options for a plurality of CMRs, each of the plurality of UE recommendation options corresponding to a corresponding combination of one or more CMRs among the plurality of CMRs, and wherein the indication of one or more second CMRs includes an indication of an identifier associated with a UE recommendation option among the plurality of UE recommendation options.

[0219] Aspect 8: The method according to any one of Aspects 1-7, wherein the configuration information indicates a plurality of CMR sets, and wherein the indication of one or more second CMRs includes an indication of a CMR set identifier associated with a CMR set among the plurality of CMR sets.

[0220] Aspect 9: The method according to any one of Aspects 1-8, wherein the configuration information indicates a plurality of CMR sets, and wherein the indication of one or more second CMRs includes: for each of the one or more second CMRs, a corresponding indication of a CMR set identifier that identifies a CMR set among the plurality of CMR sets, and a corresponding indication of a CMR identifier that identifies a CMR within a CMR set.

[0221] Aspect 10: The method according to any one of aspects 1-9, wherein the indication of one or more second CMRs includes a corresponding indication of a CMR identifier associated with each of the one or more second CMRs.

[0222] Aspect 11: The method according to any one of aspects 1-10, wherein the indication of one or more second CMRs includes the indication of one or more Type D quasi-co-location (Type D-QCL) reference sources associated with one or more second CMRs.

[0223] Aspect 12: The method according to aspect 11, wherein the configuration information indicates a plurality of candidate type D-QCL reference sources, and wherein the indication of one or more type D-QCL reference sources includes a corresponding indication of a candidate type D-QCL reference source for each of one or more second CMRs among the plurality of candidate type D-QCL reference sources.

[0224] Aspect 13: The method according to any one of Aspects 11-12, wherein the configuration information indicates a plurality of UE recommendation options for a plurality of candidate type D-QCL reference sources, each of the plurality of UE recommendation options corresponding to a corresponding combination of one or more candidate type D-QCL reference sources among the plurality of candidate type D-QCL reference sources, and wherein the indication of one or more type D-QCL reference sources includes the indication of an identifier associated with a UE recommendation option among the plurality of UE recommendation options.

[0225] Aspect 14: The method according to any one of Aspects 11-13, wherein one or more Type D-QCL reference sources are associated with one or more downlink or uplink reference signals.

[0226] Aspect 15: The method according to any one of Aspects 11-14, wherein one or more Type D-QCL reference sources are associated with one or more downlink angle of arrival (AoA) or angle of departure (AoD) values.

[0227] Aspect 16: The method according to any one of Aspects 1-2 and 5-15, wherein the indication of one or more second CMRs is included in the first CSI report.

[0228] Aspect 17: The method according to any one of Aspects 1-2 and 5-15, wherein the first CSI report includes an indication of a recommendation to change the CMR to be used for predicting CPR, and wherein an indication of one or more second CMRs is included in a non-periodic CSI report triggered in conjunction with the indication of a recommendation to change the CMR to be used for predicting CPR.

[0229] Aspect 18: The method according to aspect 17 further includes: receiving from a network node an instruction to trigger an aperiodic CSI report in conjunction with an instruction to change the CMR to be used for predicting CPR.

[0230] Aspect 19: The method according to any one of Aspects 17-18, wherein the indication for the recommendation to change the CMR includes a one-bit indication for the recommendation to change the CMR to be used for predicting the measurement for CPR.

[0231] Aspect 20: The method according to any one of aspects 17-18, wherein the indication of a recommendation to change a CMR includes a bitmap, the bitmap including a corresponding bit corresponding to each of one or more first CMRs, wherein the corresponding bit corresponding to each first CMR indicates a first value combined with a recommendation to change a first CMR or a second value combined with a recommendation not to change a first CMR, and wherein the indication of one or more second CMRs includes an indication of a corresponding second CMR for each first CMR, wherein for each first CMR, the corresponding bit corresponding to the first CMR indicates a first value.

[0232] Aspect 21: The method according to any one of aspects 17-18, wherein the instruction for the recommendation to change the CMR includes an instruction for the number of first CMRs recommended to be changed in one or more first CMRs, and wherein the instruction for one or more second CMRs includes an instruction for each first CMR recommended to be changed and an instruction for a corresponding second CMR for each first CMR recommended to be changed in the first CMRs.

[0233] Aspect 22: The method according to any one of Aspects 1-21, wherein configuration information indicates a first CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, wherein one or more first CMRs are associated with the first CMR mode, wherein the indication of one or more second CMRs includes an indication of a second CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, and wherein one or more second CMRs are associated with the second CMR mode.

[0234] Aspect 23: The method according to any one of aspects 1-22, wherein the indication of one or more second CMRs includes an indication of a recommended duration associated with one or more second CMRs.

[0235] Aspect 24: A method of wireless communication performed at a network node, comprising: sending configuration information to a user equipment (UE) indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used for predicting measurements for the one or more CPRs; receiving from the UE a first CSI report including a first predicted measurement value associated with the one or more CPRs, the first predicted measurement value being based on measurements of the one or more first CMRs; and receiving from the UE an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

[0236] Aspect 25: The method according to aspect 24 further includes: receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on a measurement of one or more second CMRs.

[0237] Aspect 26: The method according to any one of Aspects 24-25, wherein receiving an indication to one or more second CMRs comprises: receiving a Media Access Control (MAC) control element (MAC-CE) including an indication to one or more second CMRs.

[0238] Aspect 27: The method according to aspect 26 further includes: sending confirmation of MAC-CE to the UE; and receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on a measurement of one or more second CMRs at a time-domain measurement timing following a time offset from confirmation.

[0239] Aspect 28: The method according to any one of Aspects 24-26 further includes: sending to the UE an acknowledgment regarding one or more second CMRs to be used to predict measurements for one or more CPRs; and receiving from the UE a second CSI report including a second predicted measurement value associated with one or more CPRs, the second predicted measurement value being based on measurements of one or more second CMRs at a time-domain measurement timing following the acknowledgment.

[0240] Aspect 29: The method according to any one of Aspects 24-28, wherein the configuration information indicates a plurality of UE recommendation options for a plurality of CMRs, each of the plurality of UE recommendation options corresponding to a corresponding combination of one or more CMRs among the plurality of CMRs, and wherein the indication of one or more second CMRs includes an indication of an identifier associated with a UE recommendation option among the plurality of UE recommendation options.

[0241] Aspect 30: The method according to any one of aspects 24-29, wherein the configuration information indicates a plurality of CMR sets, and wherein the indication of one or more second CMRs includes the indication of a CMR set identifier associated with a CMR set among the plurality of CMR sets.

[0242] Aspect 31: The method according to any one of aspects 24-30, wherein the configuration information indicates a plurality of CMR sets, and wherein the indication of one or more second CMRs includes: for each of the one or more second CMRs, a corresponding indication of a CMR set identifier that identifies a CMR set among the plurality of CMR sets, and a corresponding indication of a CMR identifier that identifies a CMR within a CMR set.

[0243] Aspect 32: The method according to any one of aspects 24-31, wherein the indication of one or more second CMRs includes a corresponding indication of a CMR identifier associated with each of the one or more second CMRs.

[0244] Aspect 33: The method according to any one of aspects 24-32, wherein the indication of one or more second CMRs includes the indication of one or more Type D quasi-co-location (Type D-QCL) reference sources associated with one or more second CMRs.

[0245] Aspect 34: The method according to aspect 33, wherein the configuration information indicates a plurality of candidate type D-QCL reference sources, and wherein the indication of one or more type D-QCL reference sources includes a corresponding indication of a candidate type D-QCL reference source for each of one or more second CMRs among the plurality of candidate type D-QCL reference sources.

[0246] Aspect 35: The method according to any one of Aspects 33-34, wherein the configuration information indicates a plurality of UE recommendation options for a plurality of candidate type D-QCL reference sources, each of the plurality of UE recommendation options corresponding to a corresponding combination of one or more candidate type D-QCL reference sources among the plurality of candidate type D-QCL reference sources, and wherein the indication of one or more type D-QCL reference sources includes the indication of an identifier associated with a UE recommendation option among the plurality of UE recommendation options.

[0247] Aspect 36: The method according to any one of Aspects 33-35, wherein one or more Type D-QCL reference sources are associated with one or more downlink or uplink reference signals.

[0248] Aspect 37: The method according to any one of Aspects 33-36, wherein one or more Type D-QCL reference sources are associated with one or more downlink angle of arrival (AoA) or angle of departure (AoD) values.

[0249] Aspect 38: The method according to any one of Aspects 24-25 and 28-37, wherein the indication of one or more second CMRs is included in the first CSI report.

[0250] Aspect 39: The method according to any one of Aspects 24-25 and 28-37, wherein the first CSI report includes an indication of a recommendation to change the CMR to be used for predicting CPR, and wherein an indication of one or more second CMRs is included in a non-periodic CSI report triggered in conjunction with the indication of a recommendation to change the CMR to be used for predicting CPR.

[0251] Aspect 40: The method according to aspect 39 further includes: sending an instruction to the UE to trigger an aperiodic CSI report in conjunction with an instruction to change the recommended CMR for predicting CPR measurements.

[0252] Aspect 41: The method according to any one of aspects 39-40, wherein the indication for the recommendation to change the CMR includes a one-bit indication for the recommendation to change the CMR to be used for predicting the measurement for CPR.

[0253] Aspect 42: The method according to any one of aspects 39-40, wherein the indication of a recommendation to change a CMR includes a bitmap, the bitmap including a corresponding bit corresponding to each of one or more first CMRs, wherein the corresponding bit corresponding to each first CMR indicates a first value combined with a recommendation to change a first CMR or a second value combined with a recommendation not to change a first CMR, and wherein the indication of one or more second CMRs includes an indication of a corresponding second CMR for each first CMR, wherein for each first CMR, the corresponding bit corresponding to the first CMR indicates the first value.

[0254] Aspect 43: The method according to any one of aspects 39-40, wherein the instruction for the recommendation to change the CMR includes an instruction for the number of first CMRs recommended to be changed in one or more first CMRs, and wherein the instruction for one or more second CMRs includes an instruction for each first CMR recommended to be changed and an instruction for a corresponding second CMR for each first CMR recommended to be changed in the first CMRs.

[0255] Aspect 44: The method according to any one of aspects 24-43, wherein configuration information indicates a first CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, wherein one or more first CMRs are associated with the first CMR mode, wherein the indication of one or more second CMRs includes an indication of a second CMR mode for changing the CMR to be used for predicting CPR measurements across multiple time domains, and wherein one or more second CMRs are associated with the second CMR mode.

[0256] Aspect 45: The method according to any one of aspects 24-44, wherein the indication of one or more second CMRs includes an indication of a recommended duration associated with one or more second CMRs.

[0257] Aspect 46: An apparatus for wireless communication at a device, the apparatus comprising: one or more processors; one or more memories coupled to the one or more processors; and instructions stored in the one or more memories and executable by the one or more processors to cause the apparatus to perform the method according to one or more aspects of aspects 1-45.

[0258] Aspect 47: An apparatus for wireless communication, comprising one or more memories and one or more processors coupled to the one or more memories, at least one of the one or more processors being configured to perform a method according to one or more aspects described in aspects 1-45.

[0259] Aspect 48: An apparatus for wireless communication, comprising at least one unit for performing the method according to one or more of aspects 1-45.

[0260] Aspect 49: A non-transitory computer-readable medium storing code for wireless communication, said code including instructions executable by a processor to perform the methods described in one or more of aspects 1-45.

[0261] Aspect 50: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions which, when executed by one or more processors of a device, cause the device to perform the method according to one or more aspects of aspects 1-45.

[0262] The foregoing disclosure provides explanations and descriptions, but is not intended to be exhaustive or to limit the aspects to the precise form disclosed. Modifications and variations may be made based on the foregoing disclosure, or modifications and variations may be derived from practice in the aspects.

[0263] As used herein, the term "component" is intended to be interpreted broadly as hardware, or a combination of hardware and software. "Software," whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise, should be interpreted broadly as instructions, instruction sets, code, code segments, program code, programs, subroutines, software modules, applications, software applications, software groups, routines, subroutines, objects, executable files, threads of execution, procedures, or functions, etc. As used herein, a "processor" is implemented in hardware or a combination of hardware and software. It will be apparent that the systems or methods described herein can be implemented in different forms of hardware, or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems or methods does not limit these aspects. Therefore, the operation and behavior of systems or methods are described herein without referencing specific software code—because those skilled in the art will understand that software and hardware can be designed to implement systems or methods, at least in part, based on the descriptions herein.

[0264] As used in this article, depending on the context, satisfying the threshold can refer to a value 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, etc.

[0265] Although specific combinations of features are stated in the claims or disclosed in the description, these combinations are not intended to limit the disclosure of the aspects. Many of these features may be combined in a manner not specifically stated in the claims or disclosed in the description. The disclosure of the aspects includes combinations of each dependent claim with each other claim in the claim set. As used herein, the phrase “at least one of” refers to any combination of these items, including a single member. For example, “at least one of a, b, or c” is intended to cover a, b, c, a+b, a+c, b+c, and a+b+c, and any combination of multiples of the same element (e.g., a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c, and c+c+c or any other ordering of a, b, and c).

[0266] None of the elements, actions, or instructions used herein should be construed as critical or necessary unless explicitly stated otherwise. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and may be used interchangeably with “one or more.” Furthermore, as used herein, the article “the” is intended to include one or more items referenced in connection with the article “the” and may be used interchangeably with “one or more.” Furthermore, as used herein, the terms “collection” and “group” are intended to include one or more items and may be used interchangeably with “one or more.” Where only one item is anticipated, the phrase “only one” or similar language is used. Furthermore, as used herein, the terms “has,” “have,” “having,” and similar terms are intended to be open-ended terms that do not limit the elements they modify (e.g., an element “having” A may also have B). Furthermore, unless explicitly stated otherwise, the phrase “based on” is intended to mean “at least partially based on.” Furthermore, as used herein, the term “or” is intended to be inclusive when used consecutively and may be used interchangeably with “and / or” unless otherwise explicitly stated (e.g., if used in conjunction with “either of the two” or “only one of them”).

Claims

1. An apparatus for wireless communication at a user equipment (UE), comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and configured to cause the UE to: receive, from a network node, configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used to predict measurements for the one or more CPRs; perform measurements of the one or more first CMRs; transmit, to the network node, a first CSI report including first predicted measurement values associated with the one or more CPRs, the first predicted measurement values being in accordance with the measurements of the one or more first CMRs; and transmit, to the network node, an indication of one or more second CMRs to be used to predict measurements for the one or more CPRs. at least one of the one or more processors is configured to cause the UE to:

2. The apparatus of claim 1, wherein, perform measurements of the one or more second CMRs in association with transmitting the indication of the one or more second CMRs; and transmit, to the network node, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs. to cause the UE to transmit the indication of the one or more second CMRs, at least one of the one or more processors is configured to cause the UE to:

3. The apparatus of claim 1, wherein, transmit a medium access control (MAC) control element (MAC-CE) including the indication of the one or more second CMRs. at least one of the one or more processors is configured to cause the UE to:

4. The apparatus of claim 3, wherein, receive, from the network node, an acknowledgement of the MAC-CE; perform measurements of the one or more second CMRs in a next time-domain measurement occasion after an offset from receiving the acknowledgement; and transmit, to the network node, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs. at least one of the one or more processors is configured to cause the UE to: receive, from the network node, a confirmation that the one or more second CMRs are to be used to predict measurements for the one or more CPRs; 5. The apparatus of claim 1, wherein, perform measurements of the one or more second CMRs in a time-domain measurement occasion after receiving the confirmation; and transmit, to the network node, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs. ​ ​ ​ 6. The apparatus of claim 1, wherein, The configuration information indicates a plurality of UE recommendation options for a plurality of CMRs, each of the plurality of UE recommendation options corresponding to a respective combination of one or more CMRs of the plurality of CMRs, and wherein the indication of the one or more second CMRs comprises an indication of an identifier associated with a UE recommendation option of the plurality of UE recommendation options.

7. The apparatus of claim 1, wherein, The configuration information indicates a plurality of CMR sets, and wherein the indication of the one or more second CMRs comprises an indication of a CMR set identifier associated with a CMR set of the plurality of CMR sets.

8. The apparatus of claim 1, wherein, The configuration information indicates a plurality of CMR sets, and wherein the indication of the one or more second CMRs comprises, for each CMR of the one or more second CMRs, a respective indication of a CMR set identifier identifying a CMR set of the plurality of CMR sets, and a respective indication of a CMR identifier identifying the CMR within the CMR set.

9. The apparatus of claim 1, wherein, The indication of the one or more second CMRs comprises an indication of one or more Type D quasi-colocation (Type D-QCL) reference sources associated with the one or more second CMRs.

10. The apparatus of claim 9, wherein, The configuration information indicates a plurality of candidate Type D-QCL reference sources, and wherein the indication of the one or more Type D-QCL reference sources comprises a respective indication of a candidate Type D-QCL reference source of the plurality of candidate Type D-QCL reference sources for each CMR of the one or more second CMRs.

11. The apparatus of claim 9, wherein, The configuration information indicates a plurality of UE recommendation options for a plurality of candidate Type D-QCL reference sources, each of the plurality of UE recommendation options corresponding to a respective combination of one or more candidate Type D-QCL reference sources of the plurality of candidate Type D-QCL reference sources, and wherein the indication of the one or more Type D-QCL reference sources comprises an indication of an identifier associated with a UE recommendation option of the plurality of UE recommendation options.

12. The apparatus of claim 9, wherein, The one or more Type D-QCL reference sources are associated with one or more downlink or uplink reference signals, or wherein The one or more Type D-QCL reference sources are associated with one or more downlink angle of arrival (AoA) or angle of departure (AoD) values.

13. The apparatus of claim 1, wherein, The indication of the one or more second CMRs is included in the first CSI report.

14. The apparatus of claim 1, wherein, The first CSI report comprises an indication of a recommendation to change a CMR to be used for predicting measurements for the CPR, and wherein the indication of the one or more second CMRs is included in an aperiodic CSI report triggered in conjunction with the indication of the recommendation to change the CMR to be used for predicting measurements for the CPR.

15. The apparatus of claim 14, wherein, The indication of the recommendation to change the CMR comprises a one-bit indication of the recommendation to change the CMR to be used for predicting measurements for the CPR.

16. The apparatus of claim 14, wherein, The indication of the recommendation to change the CMRs includes a bitmap including a respective bit corresponding to each of the one or more first CMRs, wherein the respective bit corresponding to each first CMR indicates a first value in combination with a recommendation to change the first CMR or a second value in combination with a recommendation not to change the first CMR, and wherein the indication of the one or more second CMRs includes an indication of a respective second CMR for each first CMR for which the respective bit corresponding to the first CMR indicates the first value.

17. The apparatus of claim 14, wherein, The indication of the recommendation to change the CMRs includes an indication of a number of first CMRs of the one or more first CMRs that are recommended to be changed, and wherein the indication of the one or more second CMRs includes an indication of each of the first CMRs that are recommended to be changed and an indication of a respective second CMR for each of the first CMRs that are recommended to be changed.

18. The apparatus of claim 1, wherein, The configuration information indicates a first CMR pattern for altering CMRs to be used for predicting measurements of the CPRs across multiple time-domain measurement occasions, wherein the one or more first CMRs are associated with the first CMR pattern, wherein the indication of the one or more second CMRs includes an indication of a second CMR pattern for altering CMRs to be used for predicting measurements of the CPRs across multiple time-domain measurement occasions, and wherein the one or more second CMRs are associated with the second CMR pattern.

19. The apparatus of claim 1, wherein, The indication of the one or more second CMRs includes an indication of a recommended duration associated with the one or more second CMRs.

20. An apparatus for wireless communication at a network node, comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and configured to cause the network node to: transmit, to a user equipment (UE), configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used for predicting measurements for the one or more CPRs; receive, from the UE, a first CSI report including first predicted measurement values associated with the one or more CPRs, the first predicted measurement values being in accordance with measurements of the one or more first CMRs; and receive, from the UE, an indication of one or more second CMRs to be used for predicting measurements for the one or more CPRs.

21. The apparatus of claim 20, wherein, the one or more processors are configured to cause the network node to: receiving, from the UE, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs.

22. The apparatus of claim 20, wherein, To cause the network node to receive the indication of the one or more second CMRs, the at least one of the one or more processors is configured to cause the network node to: receive a medium access control (MAC) control element (MAC-CE) including the indication of the one or more second CMRs.

23. The apparatus of claim 22, wherein, The at least one of the one or more processors is configured to cause the network node to: transmit, to the UE, an acknowledgment of the MAC-CE; and receive, from the UE, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs in time domain measurement occasions after an offset in time from the acknowledgment.

24. The apparatus of claim 20, wherein, The at least one of the one or more processors is configured to cause the network node to: transmit, to the UE, a confirmation that the one or more second CMRs are to be used to predict measurements for the one or more CPRs; and receive, from the UE, a second CSI report including second predicted measurement values associated with the one or more CPRs, the second predicted measurement values being in accordance with the measurements of the one or more second CMRs in time domain measurement occasions after the confirmation. The configuration information indicates a plurality of UE recommendation options for a plurality of CMRs, each UE recommendation option of the plurality of UE recommendation options corresponding to a respective combination of one or more CMRs of the plurality of CMRs, and wherein the indication of the one or more second CMRs includes an indication of an identifier associated with a UE recommendation option of the plurality of UE recommendation options.

25. The apparatus of claim 20, wherein, The indication of the one or more second CMRs includes an indication of one or more Type D quasi-colocation (Type D-QCL) reference sources associated with the one or more second CMRs.

26. The apparatus of claim 20, wherein, The indication of the one or more second CMRs is included in the first CSI report.

27. The apparatus of claim 20, wherein, The first CSI report includes an indication of a recommendation to change a CMR to be used to predict measurements for the CPR, and wherein the indication of the one or more second CMRs is included in an aperiodic CSI report, and wherein the at least one of the one or more processors is configured to cause the network node to:

28. The apparatus of claim 20, wherein, transmit, to the UE, an indication to trigger the aperiodic CSI report in conjunction with the indication of the recommendation to change the CMR to be used to predict measurements for the CPR.

29. A method of wireless communication performed at a user equipment (UE), comprising: ​ receiving, from a network node, configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used to predict measurements for the one or more CPRs; performing measurements of the one or more first CMRs; sending, to the network node, a first CSI report including first predicted measurement values associated with the one or more CPRs, the first predicted measurement values being in accordance with the measurements of the one or more first CMRs; and sending, to the network node, an indication of one or more second CMRs to be used to predict measurements for the one or more CPRs.

30. A method of wireless communication performed at a network node, comprising: sending, to a user equipment (UE), configuration information indicating one or more channel prediction resources (CPRs) associated with a channel state information (CSI) report and one or more first channel measurement resources (CMRs) to be used to predict measurements for the one or more CPRs; receiving, from the UE, a first CSI report including first predicted measurement values associated with the one or more CPRs, the first predicted measurement values being in accordance with measurements of the one or more first CMRs; and receiving, from the UE, an indication of one or more second CMRs to be used to predict measurements for the one or more CPRs.

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