Method and apparatus for csi reporting

Abstract

Example embodiments of the present disclosure relate to channel state information (CSI) reporting. A method includes receiving, by a first apparatus from a second apparatus, a configuration of a set of reference signal resources, the configuration including a plurality of configurations respectively corresponding to a plurality of subsets of reference signal resources within the set of reference signal resources; receiving, from the second apparatus, a channel state information (CSI) reporting configuration associated with the set of reference signal resources; and transmitting, to the second apparatus, a CSI report based on the CSI reporting configuration, the CSI report including indication information indicating at least one of the plurality of subsets of reference signal resources and measurement information related to the at least one of the plurality of subsets of reference signal resources.

Description

Cross-reference to related applications

[0001] This application claims priority and interest in Finnish Application No. 20245406, filed on April 4, 2024, the contents of which are incorporated herein by reference in their entirety. Technical Field

[0002] Various exemplary embodiments of this disclosure are generally related to the telecommunications field, and more particularly to methods, apparatuses, devices, and computer-readable storage media for channel state information (CSI) reporting. Background Technology

[0003] In the telecommunications industry, artificial intelligence / machine learning (AI / ML) models are already being used in telecom systems to improve performance. For example, 3GPP Release 18 initiated research into AI / ML for New Radio (NR) air interfaces. The goal is to explore the benefits of enhancing the air interface by leveraging features that can improve support for AI / ML-based algorithms to enhance performance and / or reduce complexity / overhead. Several use cases are considered to enable the identification of public AI / ML frameworks that can be used in subsequent projects, including the functional requirements of the AI / ML architecture. Areas where AI / ML can improve the performance of air interface functions are also identified. Summary of the Invention

[0004] In a first aspect of this disclosure, a first apparatus is provided. The first apparatus includes: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the first apparatus to at least: receive from a second apparatus a configuration of a reference signal resource set, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; receive from the second apparatus a channel state information (CSI) report configuration associated with the reference signal resource set; and, based on the CSI report configuration, transmit a CSI report to the second apparatus, the CSI report including indication information indicating at least one subset of the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0005] In a second aspect of this disclosure, a second apparatus is provided. The second apparatus includes: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the second apparatus to at least: transmit to a first apparatus a configuration of a reference signal resource set, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; transmit to the first and second apparatuses a channel state information (CSI) report configuration associated with the reference signal resource set; and receive from the first apparatus a CSI report, the CSI report including indication information indicating at least one subset of the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0006] In a third aspect of this disclosure, a method is provided. The method includes: receiving, by a first device, a configuration of a reference signal resource set from a second device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; receiving, from the second device, a channel state information (CSI) report configuration associated with the reference signal resource set; and transmitting a CSI report to the second device based on the CSI report configuration, the CSI report including indication information indicating at least one subset of reference signal resources among the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0007] In a fourth aspect of this disclosure, a method is provided. The method includes: transmitting a configuration of a reference signal resource set from a second device to a first device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; transmitting a channel state information (CSI) report configuration associated with the reference signal resource set to the first and second devices; and receiving a CSI report from the first device, the CSI report including indication information indicating at least one subset of reference signal resources among the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0008] In a fifth aspect of this disclosure, a first apparatus is provided. The first apparatus includes: components for receiving a configuration of a reference signal resource set from a second apparatus, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; components for receiving a channel state information (CSI) report configuration associated with the reference signal resource set from the second apparatus; and components for transmitting a CSI report to the second apparatus based on the CSI report configuration, the CSI report including indication information indicating at least one subset of reference signal resources among the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0009] In a sixth aspect of this disclosure, a second apparatus is provided. The second apparatus includes: components for transmitting to a first apparatus a configuration of a reference signal resource set, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; components for transmitting to the first and second apparatuses a channel state information (CSI) report configuration associated with the reference signal resource set; and components for receiving a CSI report from the first apparatus, the CSI report including indication information indicating at least one subset of the multiple subsets of reference signal resources and measurement information associated with the at least one subset of reference signal resources.

[0010] In a seventh aspect of this disclosure, a computer-readable medium is provided. The computer-readable medium includes instructions stored thereon for causing a device to at least execute the method according to a third aspect.

[0011] In an eighth aspect of this disclosure, a computer-readable medium is provided. The computer-readable medium includes instructions stored thereon for causing a device to at least execute the method according to the fourth aspect.

[0012] It should be understood that the summary portion is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0013] Some exemplary embodiments will now be described with reference to the accompanying drawings, in which: Figure 1 An example communication environment in which example embodiments of this disclosure may be implemented is shown; Figure 2 A flowchart of the signaling flow for CSI reporting according to some example embodiments of this disclosure is shown; Figure 3 A flowchart is shown illustrating a method implemented at a first device according to some exemplary embodiments of the present disclosure; Figure 4 A flowchart is shown illustrating a method implemented at a second device according to some example embodiments of the present disclosure; Figure 5 A simplified block diagram of a device suitable for implementing example embodiments of the present disclosure is shown; and Figure 6 A block diagram of an example computer-readable medium according to some example embodiments of the present disclosure is shown.

[0014] In all the accompanying drawings, the same or similar reference numerals denote the same or similar elements. Detailed Implementation

[0015] The principles of this disclosure will now be described with reference to some exemplary embodiments. It should be understood that these embodiments are described for illustrative purposes only and to assist those skilled in the art in understanding and implementing this disclosure, and do not imply any limitation on the scope of this disclosure. In addition to the methods described below, the embodiments described herein can be implemented in various other ways.

[0016] In the following description and claims, unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.

[0017] References to "an embodiment," "embodiment," "example embodiment," etc., in this disclosure indicate that the described embodiment may include a particular feature, structure, or characteristic, but not every embodiment must include that particular feature, structure, or characteristic. Furthermore, such phrases do not necessarily refer to the same embodiment. Additionally, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is believed that incorporating other embodiments, whether explicitly described or not, to affect such a feature, structure, or characteristic is within the knowledge of those skilled in the art.

[0018] It should be understood that although terms such as "first," "second," etc., preceding nouns may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used only to distinguish one element from another, and they do not restrict the order of the nouns. For example, without departing from the scope of the exemplary embodiments, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. As used herein, the term "and / or" includes any and all combinations of one or more of the listed terms.

[0019] As used herein, “at least one of the following: ” and “at least one of ” and similar wording (where the list of two or more elements is connected by “and” or “or”) means at least any one of the elements, or at least any two or more of the elements, or at least all of the elements.

[0020] As used herein, unless explicitly stated otherwise, the “responding to A” action does not indicate that the action is performed immediately after “A” occurs, but may include one or more intermediate steps.

[0021] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments. As used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that, when used herein, the terms “comprises,” “comprising,” “has,” “having,” “includes,” and / or “including” specify the presence of a feature, element, and / or component, etc., but do not exclude the presence or addition of one or more other features, elements, components, and / or combinations thereof.

[0022] As used in this application, the term "circuit" may refer to one or more of the following: (a) Hardware circuit implementation only (such as implementation in analog and / or digital circuits only), and (b) A combination of hardware circuitry and software, such as (if applicable): (i) A combination of (multiple) analog and / or digital hardware circuits and software / firmware, and (ii) Any part of a hardware processor having software (including (multiple) digital signal processors, software, and (multiple) memories, which work together to enable a device such as a mobile phone or server to perform various functions), and (c) Multiple hardware circuits and / or multiple processors, such as multiple microprocessors or a portion thereof, that require software (e.g., firmware) to operate, but which may not exist when software is not required to operate.

[0023] This definition of "circuit" applies to all uses of the term in this application (including in any claim). As another example, as used in this application, the term "circuit" also covers only hardware circuitry or processors (or processors), or a portion of hardware circuitry or processors and their accompanying software and / or firmware implementations. For example, if applicable to a particular claim element, the term "circuit" also covers baseband integrated circuits or processor integrated circuits for mobile devices, or similar integrated circuits in servers, cellular network devices, or other computing or network devices.

[0024] As used herein, the term "communication network" refers to a network that conforms to any suitable communication standard, such as New Radio (NR), Long Term Evolution (LTE), LTE-A Advanced (LTE-A), Wideband Code Division Multiple Access (WCDMA), High-Speed ​​Packet Access (HSPA), Narrowband Internet of Things (NB-IoT), etc. Furthermore, communication between terminal devices and network devices in a communication network can be performed according to any suitable generation of communication protocol, including but not limited to first-generation (1G), second-generation (2G), 2.5G, 2.75G, third-generation (3G), fourth-generation (4G), 4.5G, fifth-generation (5G), sixth-generation (6G) communication protocols and / or any other currently known or future-developed protocols. Embodiments of this disclosure can be applied to various communication systems. Given the rapid development of communications, there will inevitably be future types of communication technologies and systems that embody the future types of this disclosure. The scope of this disclosure should not be construed as limited to the aforementioned systems.

[0025] As used herein, the term "network device" refers to a node in a communications network through which terminal devices access the network and receive services. Depending on the terminology and technology applied, a network device can refer to a base station (BS) or access point (AP), such as a Node B (NodeB or NB), an evolved Node B (eNodeB or eNB), an NR NB (also known as a gNB), a remote radio unit (RRU), a radio head (RH), a remote radio head (RRH), a relay, an integrated access and backhaul (IAB) node, a low-power node (such as a femtosecond or picosecond), a non-terrestrial network (NTN), or a non-terrestrial network device (such as satellite network devices, low Earth orbit (LEO) satellites and geostationary orbit (GEO) satellites, spacecraft network devices, etc. In some example embodiments, the radio access network (RAN) split architecture includes a centralized unit (CU) and a distributed unit (DU) at the IAB host node. The IAB node includes a mobile terminal (IAB-MT) portion that behaves like a UE to the parent node, and the DU portion of the IAB node behaves like a base station to the next-hop IAB node.

[0026] The term "terminal device" refers to any terminal device capable of wireless communication. By way of example and not limitation, a terminal device may also be referred to as a communication device, user equipment (UE), subscriber station (SS), portable subscriber station, mobile station (MS), or access terminal (AT). Terminal devices may include, but are not limited to, mobile phones, cellular phones, smartphones, Voice over IP (VoIP) phones, wireless local loop phones, tablets, wearable terminal devices, personal digital assistants (PDAs), portable computers, desktop computers, image capture terminal devices (such as digital cameras), gaming terminal devices, music storage and playback devices, in-vehicle wireless terminal devices, wireless endpoints, mobile stations, laptop embedded devices (LEE), laptop mounted devices (LME), USB dongles, smart devices, wireless customer premises equipment (CPE), Internet of Things (IoT) devices, watches or other wearable devices, head-mounted displays (HMDs), vehicles, drones, medical devices and applications (e.g., remote surgery), industrial devices and applications (e.g., robots and / or other wireless devices operating in industrial and / or automated processing chain environments), consumer electronics devices, devices operating on commercial and / or industrial wireless networks, etc. The terminal device may also correspond to the mobile terminal (MT) portion of an IAB node (e.g., a relay node). In the following description, the terms "terminal device," "communication device," "terminal," "user equipment," and "UE" are used interchangeably.

[0027] As used herein, the terms “resource,” “transmission resource,” “resource block,” “physical resource block” (PRB), “uplink resource,” or “downlink resource” can refer to any resource used to perform communication (e.g., communication between a terminal device and a network device), such as resources in the time domain, resources in the frequency domain, resources in the spatial domain, resources in the code domain, or any other combination of time, frequency, spatial, and / or code domain resources used to implement communication. In the following, unless explicitly stated otherwise, resources in the frequency and time domains will be used as examples of transmission resources used to describe some exemplary embodiments of this disclosure. Note that the exemplary embodiments of this disclosure are equally applicable to other resources in other domains.

[0028] As used herein, the term "model" refers to the association between an input and an output learned from training data, and thus can generate a corresponding output for a given input after training. Model generation can be based on machine learning (ML) techniques. Machine learning techniques can also be referred to as artificial intelligence (AI) techniques. Typically, machine learning models can be built that receive input information and make predictions based on that input information. For example, a classification model can predict the category of input information in a predetermined set of categories. As used herein, "model" can also be referred to as a "machine learning model," "learning model," "machine learning network," or "learning network," and these terms are used interchangeably throughout this document.

[0029] To facilitate understanding of the terminology, some definitions for the AI / ML terminology list are provided below.

[0030] AI / ML Models: Data-driven algorithms that apply AI / ML techniques to generate a set of outputs based on a set of inputs.

[0031] AI / ML Model Delivery: A general term referring to the delivery of AI / ML models from one entity to another in any way. Note: Entities can refer to network nodes / functions (e.g., gNB, Location Management Function (LMF), etc.), UEs, proprietary servers, etc.

[0032] AI / ML model inference: The process of using a trained AI / ML model to produce a set of outputs based on a set of inputs.

[0033] AI / ML Model Testing: A sub-process of training used to evaluate the performance of the final AI / ML model using a different dataset than that used for model training and validation. Unlike AI / ML model validation, testing does not assume subsequent adjustments to the model.

[0034] AI / ML model training: The process of training an AI / ML model in a data-driven manner [by learning input / output relationships] and obtaining a trained AI / ML model for inference.

[0035] AI / ML model transmission: AI / ML models are delivered over the air interface in a manner opaque to 3GPP signaling, either with parameters whose model structure is known to the receiving end, or as a new model with parameters. The delivery may include a complete model or a partial model.

[0036] AI / ML Model Validation: A sub-process of training used to evaluate the quality of AI / ML models using a different dataset than the dataset used for model training. This helps in selecting model parameters that generalize to datasets other than those used for model training.

[0037] Data collection: The process by which network nodes, management entities, or UEs collect data for use in AI / ML model training, data analysis, and inference.

[0038] Function Identification: The process / method for identifying AI / ML functions for mutual understanding between the network and the UE. Note: Information about AI / ML functions can be shared during function identification. The location where AI / ML functions reside depends on specific use cases and sub-use cases.

[0039] Model activation: Enables AI / ML models for specific functions.

[0040] Model deactivation: Disables AI / ML models for specific functions.

[0041] Model download: The transfer of the model from the network to the UE.

[0042] Model Identification: The process / method for identifying the AI / ML model used for mutual understanding between the network (NW) and the UE. Note: The process / method for model identification may or may not be applicable. Note: Information about the AI / ML model may be shared during model identification.

[0043] Model monitoring: The process of monitoring the inference performance of AI / ML models.

[0044] Model parameter update: The process of updating the model parameters.

[0045] Model selection: The process of choosing the AI / ML model to activate from among multiple models that support the same AI / ML features. Note: Model selection can be performed concurrently with model activation or separately.

[0046] Model switching: Deactivate the currently active AI / ML model for a specific function and activate different AI / ML models.

[0047] Model update: The process of updating model parameters and / or model structure.

[0048] Model upload: The transfer of the model from the UE to the network.

[0049] UE-side (AI / ML) model: An AI / ML model in which inference is performed entirely at the UE.

[0050] Network-side (AI / ML) models: AI / ML models in which inference is performed entirely at the network.

[0051] Single-sided (AI / ML) model: UE-side (AI / ML) model or network-side (AI / ML) model.

[0052] Two-sided (AI / ML) model: A pair of AI / ML models that perform joint inference on which the joint inference includes AI / ML inference jointly performed across the UE and the network, i.e., the first part of the inference is performed by the UE first, and then the remaining part is performed by the gNB, and vice versa.

[0053] Proprietary Format Models: From a 3GPP perspective, these are vendor / device-specific ML models in proprietary formats. They are not mutually identifiable between vendors and hide model design information from other vendors when shared. Note: The example is a device-specific binary executable format.

[0054] Open format models: From a 3GPP perspective, these are specified format ML models that are mutually identifiable across vendors and allow for interoperability. They are mutually identifiable between vendors and do not hide model design information from other vendors when shared.

[0055] Figure 1 An example communication environment 100 in which exemplary embodiments of the present disclosure can be implemented is shown. It should be understood that the elements shown in the communication system 100 are intended to represent the main functions provided within the system. Therefore, Figure 1 The boxes shown refer to specific elements in a communication network that provide these main functions. However, some or all of the main functions represented can be implemented using other network elements. Furthermore, it should be understood that not all functions of a communication network are represented in the boxes. Figure 1 The text is a mix of Chinese and English, and doesn't form a coherent sentence or paragraph. It appears to be a collection of fragments from various sources, possibly related to illustration or explanation. Figure 1 The number of elements shown is for illustrative purposes only, and any number of elements may exist.

[0056] As shown in the figure, the communication environment 100 includes multiple communication devices, including one or more first devices 110-1, 110-2, ..., 110-N (collectively or individually referred to as first devices 110) and one or more second devices 120. Figure 1 In the example, the second device 120 may include network equipment, and the first device 110 may include terminal equipment. The service area of ​​the second device 120 may be referred to as a cell. The first device 110 and the second device 120 may operate in a radio access network (RAN). Although two terminal devices (e.g., the first device) are shown, there may be more or fewer terminal devices in the service area of ​​the network equipment, and there may be more network equipment serving the terminal devices in the communication environment 100.

[0057] In the following description, for illustrative purposes, some exemplary embodiments are described in which the first device 110 operates as a terminal device and the second device 120 operates as a network device. However, in some exemplary embodiments, the operations described in connection with the terminal device can be implemented at the network device or other devices, and the operations described in connection with the network device can be implemented at the terminal device or other devices.

[0058] In some example embodiments, if the first device 110 is a terminal device and the second device 120 is a network device, the link from the second device 120 to the first device 110 is referred to as a downlink (DL), and the link from the first device 110 to the second device 120 is referred to as an uplink (UL). In the DL, the second device 120 is a transmitting (TX) device (or transmitter), and the first device 110 is a receiving (RX) device (or receiver). In the UL, the first device 110 is a TX device (or transmitter), and the second device 120 is an RX device (or receiver).

[0059] Communication in communication environment 100 can be implemented according to any suitable communication protocol(s), including but not limited to cellular communication protocols such as first-generation (1G), second-generation (2G), third-generation (3G), fourth-generation (4G), fifth-generation (5G), and sixth-generation (6G), wireless local network communication protocols such as IEEE 802.11, and / or any other currently known or future-developed protocols. Furthermore, communication can utilize any suitable wireless communication technology, including but not limited to: Code Division Multiple Access (CDMA), Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Frequency Division Duplex (FDD), Time Division Duplex (TDD), Multiple-Input Multiple-Output (MIMO), Orthogonal Frequency Division Multiplexing (OFDM), Discrete Fourier Transform Extended OFDM (DFT-s-OFDM), and / or any other currently known or future-developed technologies.

[0060] In some example embodiments, different AI / ML models can be configured to implement the same or different algorithms in the communication environment 100. AI / ML model 105 may sometimes be referred to as an AI model or simply an ML model. Inference, testing, training, and / or validation of the AI / ML model can be performed at one or more of the first device 110, the second device 120, and / or other entities. Figure 1In the example, AI / ML model 105 is shown deployed on one side of the second device 120, and is therefore a network-side AI / ML model. AI / ML models can be delivered from one entity to another in any way. AI / ML models are delivered over the air interface in a manner opaque to 3GPP signaling, either as parameters of a model structure known to the receiving end, or as a new model with parameters. Delivery can contain a complete model or a partial model.

[0061] AI / ML-based beam management and correlation functions have been introduced into the NR MIMO framework. It has been proposed to utilize AI / ML models to predict (multiple) optimal beams based on a finite set of measurements.

[0062] In some example embodiments related to AI-based beam management (BM), an AI / ML model 105 is configured for beam prediction. Several example use cases are proposed for AI-based beam management. The first use case relates to spatial domain prediction, performing beam prediction based on a finite set of measurements that does not contain any historical information. The second use case relates to temporal domain prediction, performing future beam prediction based on a finite set of measurements that includes historical information.

[0063] Measurements and predictions are based on two sets of beams. Set A is the complete set of beams on which the predictions will operate. Set B is the set of beams on which the measurements are input into an AI / ML model (e.g., Layer 1 Reference Signal Received Power (L1-RSRP)). In some embodiments, set B may be different from set A (spatial and temporal predictions). In some embodiments, set B may be a subset of set A (spatial and temporal predictions). In some embodiments, set B may be the same as set A (temporal predictions).

[0064] In communication specifications, research provides support for the following aspects: - Beam management - DL Tx beam prediction for UE-side and NW-side models, including [RAN1 / RAN2]: ○ Spatial domain DL Tx beam prediction of beam set A based on measurement results of beam set B (“BM-Case 1”); ○ Time DL Tx beam prediction for beam set A based on historical measurement results of beam set B (“BM-Case 2”); ○ Specify the necessary signaling / mechanisms to facilitate LCM operation specific to beam management use cases (if any); ○ Enable (multiple) methods to ensure consistency between training and inference regarding NW-side additional conditions (if identified) for inference at the UE.

[0065] Some discussions regarding AI / ML for beam management have led to the following agreement: ● Enhanced beam reporting for NW side models: More than 4 beams can be reported in the report; report content to be determined.

[0066] ● Beam reporting to support inference operations for the UE-side model: Beam information (Option 1) or beam information + RSRP (Option 2) can be reported for the first K predictions in set A (prediction set). Some other options and further details are pending.

[0067] ● Beam indication for NW / UE side model: Signaling is based on the unified TCI state framework.

[0068] ● Set B (Measurement Set) Configuration for UE-Side Model: Reuse the measurement set configuration in the CSI framework.

[0069] As part of the L1 beam reporting enhancement for AI / ML model inference, the UE is instructed to report measurements of more than four beams in a reporting instance, for example via CSI reporting. Furthermore, for BM case 2, reporting information regarding measurements from more than one past time instance can be included in a single reporting instance. This applies to NW-side AI / ML models, and the potential performance gain in measurement reporting should be justified by considering the UCI (Uplink Control Information) payload overhead. This invention focuses on the highlighted points.

[0070] For beam reporting, several technical aspects should be considered, including the CSI framework, configuration, L1-RSRP reporting, and UCI bit sequence generation.

[0071] The CSI reporting framework capabilities include parameters defining the maximum number of periodic / aperiodic CSI reports that can be configured for each component carrier (CC), each bandwidth portion (BWP), and each beam. Furthermore, it specifies the concurrent CSI reports that the UE can measure and process for each CC, including periodic, semi-persistent, and aperiodic CSI, including beam reports.

[0072] CSI reporting configuration includes configuration parameters for establishing periodic, non-periodic, or semi-persistent CSI reports sent on the PUCCH or PUSCH for a specific cell or triggered by downlink control information (DCI). It includes fields such as report quantity, frequency domain configuration, time domain behavior, and channel measurement resource allocation, which affect how the UE performs reporting based on different configurations.

[0073] The L1 RSRP report considers how the UE calculates and reports L1-RSRP. It covers the configuration involving Channel State Information Reference Signal (CSI-RS) resources, Synchronization Signal / Physical Broadcast Channel (SS / PBCH) block resources, or both, detailing the limitations on CSI-RS resource sets and the number of resources within these sets. Taking into account group-based reporting, differential reporting, and channel measurement timing regarding SS / PBCH or NZP CSI-RS, it also explains how to quantify and report L1-RSRP based on different scenarios.

[0074] The UCI bit sequence generation process is used to generate UCI bit sequences for uplink transmissions. It defines the specific order or mapping of CSI fields within reports for different reporting scenarios, such as CSI-RS Resource Indicator (CRI) / RSRP, Synchronization Signal Block Resource Indicator (SSBRI) / RSRP, or Capability Index reports. It provides details about the CSI report structure, including CRI, RSRP, and Capability Index, for transmissions within UCI.

[0075] These aspects are essential for defining how the UE processes, reports, and utilizes CSI in the communication system. Each section covers specific technical aspects, configurations, and procedures related to CSI reporting, L1-RSRP calculation, and UCI bit sequence generation, which are crucial for establishing and maintaining the communication link between the network and the UE, while also enabling the effective use of CSI for data transmission and reception.

[0076] For beam prediction on the NW side, the network device needs to consider measurements corresponding to set B (i.e., the set of beam measurements considered at the model input). In some implementations, the network device can generate beam reports with more than four beam-related information items, where each beam corresponds to a set of measurement resources. There are some issues regarding the content of these beam-related information reports.

[0077] The Rel-18 research project found that AI / ML models perform better when trained on a fixed beam pattern for set B, and it is important to ensure that a similar beam pattern is used for set B during the inference phase to achieve a good level of beam prediction accuracy. Even though details about beam patterns have been discussed at a high level, it is unclear how to configure or enable this framework in NR CSI reports.

[0078] In traditional beam reporting, CRI (or SSBRI) is always reported along with L1-RSRP (or L1-SINR, signal-to-interference-plus-noise ratio), and if the number of beam-related information items becomes higher, some overhead reduction techniques can be considered.

[0079] According to some example embodiments of this disclosure, a solution for CSI reporting is provided. A first device (e.g., a terminal device) receives a configuration of a reference signal resource set from a second device (e.g., a network device), the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set. If the first device also receives a CSI reporting configuration associated with the reference signal resource set, it transmits a CSI report to the second device based on the CSI reporting configuration. The CSI report includes indication information indicating at least one subset of the multiple reference signal resource subsets and measurement information associated with the at least one subset of reference signal resources.

[0080] This solution defines the configuration of the reference signal resource set (e.g., for beam prediction) and how to indicate the resource subsets used for reporting. Using the configuration of the resource subsets, the terminal device can select and effectively report measurement information about one or more specific reference signal resource subsets.

[0081] The exemplary embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0082] Figure 2 A flowchart of a signaling flow 200 for CSI reporting according to some example embodiments of this disclosure is shown. For discussion purposes, reference is made to... Figure 1 To describe signaling flow 200. For example... Figure 2 As shown, signaling flow 200 relates to a first device 110 and a second device 120. In some example embodiments, the first device 110 may include or may be included in a terminal device, and the second device 120 may include or may be included in a network device (e.g., gNB, gNB CU, or gNB DU, etc.).

[0083] In signaling stream 200, the second device 120 transmits (205) and the first device 110 receives (210) the configuration of an RS resource set. This configuration includes multiple configurations corresponding to multiple subsets of RS resources within the RS resource set. The RS resource set may be a DL RS resource set. The first device 110 may be configured with a DL RS resource set.

[0084] In some example embodiments, the RS resource set or DL ​​RS resource set may include a non-zero power channel state information RS (NZP-CSI-RS) resource set. The RS resources in this set may include NZP-CSI-RS resources. In some example embodiments, the RS resource set may include a synchronization signal block (SSB) resource set. The RS resources in this set may include an SSB index.

[0085] In some example embodiments, each of the plurality of RS resource subsets includes more than one RS resource within the RS resource set. Thus, the first device 110 may be configured with a DL RS resource set (e.g., an NZP-CSI-RS resource set or an SSB resource set), wherein the DL RS resource set configuration includes more than one resource subset configuration, wherein each subset configuration contains more than one DL RS resource (NZP-CSI-RS resource or SSB index).

[0086] Then, the second device 120 transmits (215) and the first device 110 receives (220) the Channel State Information (CSI) report configuration associated with the RS resource set. Therefore, the first device 110 is also configured with a CSI report configuration having a DL RS resource set that includes more than one subset of RS resources.

[0087] The first device 110 is intended to measure RS resources corresponding to an RS resource set (meaning RS resources of more than one subset of RS resources) and determine measurement information associated with RS resources within the RS resource set. In some example embodiments, for example, to achieve NW-side beam prediction or for other purposes on the NW side, the measurement information includes Layer 1 RS received power (L1-RSRP) or L1 signal-to-interference-plus-noise ratio (L1-SINR) for the measured DL RS resources.

[0088] The first device 110 transmits a (225) CSI report to the second device 120 based on a CSI report configuration. The CSI report includes indication information indicating at least one subset of RS resources among a plurality of RS resource subsets and measurement information associated with at least one subset of RS resources.

[0089] The second device 120 receives (230) a CSI report from the first device 110. Using the indication information in the CSI report, the second device 120 can determine at least one subset of indicated RS resources and can apply measurement information associated with at least one subset of RS resources for further use.

[0090] In some example embodiments, the CSI report configuration is used for beam reporting (to enable NW-side beam prediction). If it is determined that the CSI report configuration is used for beam reporting, the first device 110 can perform measurements on RS resources in the RS resource set and then transmit a CSI report including indication information and measurement information to the second device 120.

[0091] In some example embodiments, the first device 110 may determine at least one subset of RS resources for reporting from a plurality of RS resource subsets based on subset selection criteria. In some example embodiments, the first device 110 is intended (or defined) to determine at least one subset of RS resources for reporting from more than one resource subset. In some example embodiments, at least one resource subset may be determined based on one of the following subset selection criteria.

[0092] In an example embodiment, the first device 110 may select a subset of RS resources comprising a predetermined number of RSs with optimal measurement information. In an example embodiment, the subset selection criterion is defined as selecting a subset of resources comprising the best K DL RSs (i.e., the K strongest beams providing the highest L1-RSRP (L1-SINR)). The selected subset of RS resources includes all or most of the best K DL RSs. In some examples, K may default to 1, or K may be defined for the first device 110.

[0093] In an example embodiment, the first device 110 may select a subset of RS resources that include RSs with expected changes in measurement information. In an example embodiment, the subset selection criterion is defined as selecting a subset of resources that include DL RSs that result in a small change in the measured L1-RSRP (L1-SINR). For example, the selected subset of RS resources includes DL RSs that result in a small change in the measured L1-RSRP. In some examples, the change may be defined to the first device 110 in dB.

[0094] In an example embodiment, the first device 110 may select a subset of RS resources that includes RSs with measurement information satisfying a predetermined threshold. In some examples, the predetermined threshold may be a minimum threshold. In an example embodiment, the subset selection criterion is defined as selecting a subset of DL RS resources that includes the minimum threshold of L1-RSRP (L1-SINR) for all DL RSs. In some examples, the minimum L1-RSRP may be defined for the first device 110 in dB. The selected subset of resources includes DL RSs that satisfy the minimum threshold of L1-RSRP / L1-SINR for all DL RSs.

[0095] In other example embodiments, any other criteria may be defined as requirements that should be met in the measurement of DL RS in a subset of RS resources.

[0096] In some example embodiments, the indication information in the CSI report includes at least one bit field, each bit field identifying a subset of RS resources within at least one subset of RS resources. When the report (i.e., the CSI report) corresponds to a CSI report configuration, the first device 110 may report the bit field that identifies the resource subset and the corresponding L1-RSRP (L1-SINR) of all DL RS resources associated with that resource subset.

[0097] In some example implementations, the dimension of the bit field identifying an RS resource subset can be determined based on the number of RS resource subsets within the RS resource set. In some examples, the bit field identifying a resource subset has a dimension defined by ceil(log2(X)), where X is the number of RS resource subsets associated with the configured DL RS resource set.

[0098] In some example embodiments, measurement information associated with a subset of RS resources can be arranged in the CSI report in the order of the RS resources corresponding to the subset of RS resources. In some examples, all L1-RSRPs (or L1-SINRs) can be reported in the order of the RS resources corresponding to the subset of RS resources. Furthermore, the reporting of L1-RSRPs (or L1-SINRs) can be absolute values ​​and / or differences. If the reporting of L1-RSRPs is differential, the absolute L1-RSRP corresponding to a reference RS resource (CRI, SSBRI) can be determined, and the reference RS resource can be defined for the UE or determined at the UE. In one variation, the reference RS resource can be the first or last RS resource within the subset of RS resources. In another variation, the reference RS resource can be the RS resource with the highest L1-RSRP value. In this variation, the reference RS resource can also be reported.

[0099] The following provides an implementation detail example of the communication specification. NZP-CSI-RS-ResourceSubSet CSI-RS beams can be defined, where the number of CSI-RS beams in a resource subset can reach the limits that the network wishes to configure based on the reported UE capabilities (e.g., the maximum size could be L). Furthermore, each NZP-CSI-RS-ResourceSet Multiple NZP-CSI-RS-ResourceSubSet Defined as such, where the maximum limit can be up to the UE capability (e.g., the maximum limit could be M). Here, each NZP-CSI-RS-ResourceSet This corresponds to the RS resource subset described above. IE NZP-CSI- RS-ResourceSubSet It is a set of non-zero power (NZP) CSI-RS resources (its ID). N ZP-CSI-RS- ResourceSubSet The definitions of information elements are shown in Table 1 below.

[0100] Table 1: NZP-CSI-RS-ResourceSubSetInformation elements

[0101] NZP-CSI-RS-ResourceSet The information element can also be changed as shown in Table 2 to indicate nzp-CSI-RS-ResourceSubSet. (IE) NZP-CSI-RS-ResourceSet It is a set of non-zero power (NZP) CSI-RS resources (their IDs) and set-specific parameters. IE NZP-CSI-RS-ResourceSet This corresponds to the RS resource set described above.

[0102] Table 2: NZP-CSI-RS-ResourceSet Information elements

[0103] In some example embodiments, multiplicity and type constraint values ​​can be defined in RRC as shown in Table 3 below, i.e., the maximum number of NZP-CSI-RS resources in each resource subset ( maxNrofNZP-CSI-RS-ResourcesPerSubSet ) and the maximum number of NZP-CSI-RS resource subsets ( maxNrofNZP-CSI-RS-ResourceSubSets ).

[0104] Table 3

[0105] When a network device wants to configure a beam pattern, it can configure the corresponding RS to be considered in the beam pattern and refer to it as... NZP-CSI-RS-ResourceSubSet When training the NW side model with M fixed beam patterns, the NW can be configured with up to M beams. NZP-CSI-RS-ResourceSubSet And the UE can report the best pattern observed by the UE (i.e., the best pattern). NZP-CSI-RS-ResourceSubSet Corresponding measurements.

[0106] In some example embodiments, when a CSI report corresponds to a determined / selected subset of resources (e.g., NZP- CSI-RS-ResourceSubSet or CSI-SSB-ResourceSubSet When reporting the corresponding beam, the following information may be considered. Table 4 provides the bit widths of the identifier resource subset index, RSRP, and differential RSRP.

[0107] Table 4: Bit fields used for resource subset indexing and RSRP

[0108] In Table 4, It refers to the number configured in the CSI-RS resource subset of the corresponding resource set, and It refers to the number of SS / PBCH resource subsets configured in the resource set.

[0109] For BM-Case 1 reports, some examples of the mapping order of the CSI fields in a CSI report are determined by Tables 5A-5C, where the beam index is not reported for each L1-RSRP (only resource subsets are reported). The number of L1-RSRPs in the report depends on the number of RS resources in the selected resource subset. In Tables 5A and 5C, RSRP#1 may correspond to the first beam in the resource subset; in Table 5B, RSRP#1 may correspond to the beam with the best RSRP in the resource subset.

[0110] For example, if a network device is configured with 128 RS resources in RRC, it means that reporting CRI requires 7 bits. Therefore, with conventional methods, UCI reporting requires 7 bits for CRI and 7 or 4 bits for absolute or differential RSRP per beam. In one example, considering reporting 16 beams, the UCI payload can carry 179 bits to report CRI+RSRP / differential RSRP for all beams. On the other hand, using the method proposed in this invention, if the network device is configured with 128 RS resources in RRC... CSI-RS- ResourceSet and 16 different resource subsets (each resource subset, i.e. CSI-RS-ResourceSubSet With 16 RS resources, each subset of resources can be represented as a fixed beam pattern (considered in set B). Configuring 128 RS resources means that reporting CRSI requires 4 bits. Therefore, using the proposed method, UCI reporting requires 4 bits for the reported... CSI-RS- ResourceSubSet The corresponding CRSI, and the absolute or differential RSRP for each beam, require 7 or 4 bits. In one example, considering reporting 16 beams, the UCI payload can carry 71 bits. Comparing the UCI payload of the conventional method with that of the proposed method, the UCI overhead is reduced by 179-71=108, indicating that the proposed technique reduces UCI overhead, and the reduction may be even greater if the number of beam repetition information becomes higher.

[0111] Table 5A: Mapping order of CSI fields in a CSI report for BM-Case 1

[0112] Table 5B: Mapping order of CSI fields in a CSI report for BM-Case 1

[0113] Table 5C: Mapping order of CSI fields in a CSI report for BM-Case 1

[0114] For BM-Case 2 reporting, an example of the field ordering and mapping in a CSI report for BM-Case 2 is determined by Table 6, where the beam index is not reported for each L1-RSRP (only a subset of resources is reported for each time instance). Furthermore, the number of L1-RSRPs in the report depends on the number of RS resources in the selected resource subset. This example considers reporting for 3 time instances.

[0115] Table 6: Mapping order of CSI fields in a CSI report for BM-Scenario 2

[0116] Figure 3 A flowchart of an example method 300 implemented at a first device according to some example embodiments of the present disclosure is shown. For the purposes of discussion, [the following will be discussed]. Figure 1 Method 300 is described by the angle of the first device 110 in the middle.

[0117] At block 310, the first device 110 receives from the second device a configuration of a set of reference signal resources, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the set of reference signal resources.

[0118] At box 320, the first device 110 receives a Channel State Information (CSI) report configuration associated with the reference signal resource set from the second device.

[0119] At block 330, the first device 110 transmits a CSI report to the second device based on a CSI report configuration. The CSI report includes indication information indicating at least one subset of reference signal resources among a plurality of reference signal resource subsets and measurement information associated with at least one subset of reference signal resources.

[0120] In some example embodiments, each of the multiple subsets of reference signal resources includes more than one reference signal resource within the reference signal resource set.

[0121] In some example embodiments, method 300 further includes: determining at least one subset of reference signal resources for reporting from a plurality of subsets of reference signal resources based on subset selection criteria.

[0122] In some example embodiments, the subset selection criteria are based on one of the following: selecting a subset of reference signal resources that includes a predetermined number of reference signals with optimal measurement information, selecting a subset of reference signal resources that includes reference signals with expected changes in measurement information, or selecting a subset of reference signal resources that includes reference signals with measurement information that satisfies a predetermined threshold.

[0123] In some example embodiments, method 300 further includes: if it is determined that the CSI report is configured for beam reporting, transmitting a CSI report including indication information and measurement information to the second device.

[0124] In some example embodiments, the indication information in the CSI report includes at least one bit field, each bit field identifying a subset of reference signal resources in at least one subset of reference signal resources.

[0125] In some example embodiments, the dimension of the bit field identifying the reference signal resource subset is determined based on the number of reference signal resource subsets within the reference signal resource set.

[0126] In some example embodiments, measurement information associated with a subset of reference signal resources is arranged in the CSI report in the order of the reference signal resources corresponding to the subset of reference signal resources.

[0127] In some example embodiments, the reference signal resource set includes a non-zero power channel state information reference signal (NZP-CSI-RS) resource set or a synchronization signal block (SSB) resource set, and / or the measurement information includes layer 1 reference signal received power (L1-RSRP) or L1 signal-to-interference-plus-noise ratio (L1-SINR).

[0128] In some example embodiments, the first device is a terminal device or is included in a terminal device, and the second device is a network device or is included in a network device.

[0129] Figure 4 A flowchart of an example method 400 implemented at a second device according to some example embodiments of the present disclosure is shown. For the purposes of discussion, [the following will be discussed]. Figure 1 Method 400 is described by the angle of the second device 120 in the middle.

[0130] At frame 410, the second device 120 transmits a configuration of a reference signal resource set to the first device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set.

[0131] At box 420, the second device 120 transmits a Channel State Information (CSI) report configuration associated with the reference signal resource set to the first and second devices.

[0132] At frame 430, the second device 120 receives a CSI report from the first device, the CSI report including indication information indicating at least one subset of reference signal resources among a plurality of reference signal resource subsets and measurement information associated with at least one subset of reference signal resources.

[0133] In some example embodiments, each of the multiple subsets of reference signal resources includes more than one reference signal resource within the reference signal resource set.

[0134] In some example embodiments, at least one subset of reference signal resources includes at least one of the following selected by the first device from the set of reference signal resources: a subset of reference signal resources including a predetermined number of reference signals with optimal measurement information, a subset of reference signal resources including reference signals with expected changes in measurement information, or a subset of reference signal resources including reference signals with measurement information that satisfies a predetermined threshold.

[0135] In some example implementations, CSI reporting configuration is used for beam reporting.

[0136] In some example embodiments, the indication information in the CSI report includes at least one bit field, each bit field identifying one subset of reference signal resources within at least one subset of reference signal resources. In some example embodiments, the dimension of the bit field identifying the subset of reference signal resources is determined based on the number of subsets of reference signal resources within the reference signal resource set.

[0137] In some example embodiments, measurement information associated with a subset of reference signal resources is arranged in the CSI report in the order of the reference signal resources corresponding to the subset of reference signal resources.

[0138] In some example embodiments, the reference signal resource set includes a non-zero power channel state information reference signal (NZP-CSI-RS) resource set or a synchronization signal block (SSB) resource set. In some example embodiments, the measurement information includes layer 1 reference signal received power (L1-RSRP) or L1 signal-to-interference-plus-noise ratio (L1-SINR).

[0139] In some example embodiments, the first device is a terminal device or is included in a terminal device, and the second device is a network device or is included in a network device.

[0140] In some example embodiments, a first device capable of performing any method 300 (e.g., Figure 1 The first device 110 may include components for performing the corresponding operations of method 300. These components may be implemented in any suitable form. For example, the components may be implemented in a circuit or software module. The first device may be implemented as or included in... Figure 1 In the first device 110.

[0141] In some example embodiments, the first device includes: components for receiving a configuration of a reference signal resource set from the second device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; components for receiving a channel state information (CSI) report configuration associated with the reference signal resource set from the second device; and components for transmitting a CSI report to the second device based on the CSI report configuration, the CSI report including indication information indicating at least one subset of reference signal resources among the multiple subsets of reference signal resources and measurement information associated with at least one subset of reference signal resources.

[0142] In some example embodiments, each of the multiple subsets of reference signal resources includes more than one reference signal resource within the reference signal resource set.

[0143] In some example embodiments, the first apparatus further includes a component for determining at least one subset of reference signal resources for reporting from a plurality of subsets of reference signal resources based on a subset selection criterion.

[0144] In some example embodiments, the subset selection criteria are based on one of the following: selecting a subset of reference signal resources that includes a predetermined number of reference signals with optimal measurement information, selecting a subset of reference signal resources that includes reference signals with expected changes in measurement information, or selecting a subset of reference signal resources that includes reference signals with measurement information that satisfies a predetermined threshold.

[0145] In some example embodiments, the first device further includes a component for transmitting a CSI report, including indication information and measurement information, to the second device if it is determined that the CSI report is configured for beam reporting.

[0146] In some example embodiments, the indication information in the CSI report includes at least one bit field, each bit field identifying a subset of reference signal resources in at least one subset of reference signal resources.

[0147] In some example embodiments, the dimension of the bit field identifying the reference signal resource subset is determined based on the number of reference signal resource subsets within the reference signal resource set.

[0148] In some example embodiments, measurement information associated with a subset of reference signal resources is arranged in the CSI report in the order of the reference signal resources corresponding to the subset of reference signal resources.

[0149] In some example embodiments, the reference signal resource set includes a non-zero power channel state information reference signal (NZP-CSI-RS) resource set or a synchronization signal block (SSB) resource set, and / or the measurement information includes layer 1 reference signal received power (L1-RSRP) or L1 signal-to-interference-plus-noise ratio (L1-SINR).

[0150] In some example embodiments, the first device is a terminal device or is included in a terminal device, and the second device is a network device or is included in a network device.

[0151] In some example embodiments, a second device capable of performing any method 400 (e.g., Figure 1 The second device 120 may include a component for performing the corresponding operation of method 400. This component may be implemented in any suitable form. For example, the component may be implemented in a circuit or software module. The second device may be implemented as or included in... Figure 1 The second device 120 in the middle.

[0152] In some example embodiments, the second device includes: components for transmitting a configuration of a reference signal resource set to the first device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; components for transmitting a channel state information (CSI) report configuration associated with the reference signal resource set to the first and second devices; and components for receiving a CSI report from the first device, the CSI report including indication information indicating at least one subset of the multiple subsets of reference signal resources and measurement information associated with at least one subset of reference signal resources.

[0153] In some example embodiments, each of the multiple subsets of reference signal resources includes more than one reference signal resource within the reference signal resource set.

[0154] In some example embodiments, at least one subset of reference signal resources includes at least one of the following selected by the first device from the set of reference signal resources: a subset of reference signal resources including a predetermined number of reference signals with optimal measurement information, a subset of reference signal resources including reference signals with expected changes in measurement information, or a subset of reference signal resources including reference signals with measurement information that satisfies a predetermined threshold.

[0155] In some example implementations, CSI reporting configuration is used for beam reporting.

[0156] In some example embodiments, the indication information in the CSI report includes at least one bit field, each bit field identifying one subset of reference signal resources within at least one subset of reference signal resources. In some example embodiments, the dimension of the bit field identifying the subset of reference signal resources is determined based on the number of subsets of reference signal resources within the reference signal resource set.

[0157] In some example embodiments, measurement information associated with a subset of reference signal resources is arranged in the CSI report in the order of the reference signal resources corresponding to the subset of reference signal resources.

[0158] In some example embodiments, the reference signal resource set includes a non-zero power channel state information reference signal (NZP-CSI-RS) resource set or a synchronization signal block (SSB) resource set. In some example embodiments, the measurement information includes layer 1 reference signal received power (L1-RSRP) or L1 signal-to-interference-plus-noise ratio (L1-SINR).

[0159] In some example embodiments, the first device is a terminal device or is included in a terminal device, and the second device is a network device or is included in a network device.

[0160] Figure 5 This is a simplified block diagram of a device 500 suitable for implementing exemplary embodiments of the present disclosure. The device 500 can be provided to implement a communication device, for example, such as... Figure 1 The first device 110 or the second device 120 shown. The device 500 includes one or more processors 510, one or more memories 520 coupled to the processors 510, and one or more communication modules 540 coupled to the processors 510.

[0161] Communication module 540 is used for bidirectional communication. Communication module 540 has one or more communication interfaces to facilitate communication with one or more other modules or devices. The communication interface can represent any interface required for communication with other network elements. In some example embodiments, communication module 540 may include at least one antenna.

[0162] As a non-limiting example, processor 510 can be any type suitable for a local technology network and can include one or more of the following: general-purpose computer, special-purpose computer, microprocessor, digital signal processor (DSP), and processor based on a multi-core processor architecture. Device 500 can have multiple processors, such as application-specific integrated circuit chips that are time-dependent on a clock that synchronizes the main processor.

[0163] Memory 520 may include one or more non-volatile memories and one or more volatile memories. Examples of non-volatile memories include, but are not limited to, read-only memory (ROM) 524, electrically programmable read-only memory (EPROM), flash memory, hard disk, compact optical disc (CD), optical disc, laser disc, and other magnetic and / or optical storage. Examples of volatile memories include, but are not limited to, random access memory (RAM) 522 and other volatile memories that do not persist during power outages.

[0164] Computer program 530 includes computer-executable instructions that are executed by an associated processor 510. The instructions of program 530 may include instructions for performing operations / actions of some example embodiments of this disclosure. Program 530 may be stored in memory (e.g., ROM 524). Processor 510 can perform any suitable actions and processes by loading program 530 into RAM 522.

[0165] The exemplary embodiments of this disclosure can be implemented by program 530, enabling device 500 to perform as described in the reference. Figures 2 to 4 Any process discussed in this disclosure. Exemplary embodiments of this disclosure may also be implemented by hardware or by a combination of software and hardware.

[0166] In some example embodiments, program 530 may be tangibly contained in a computer-readable medium, which may be included in device 500 (such as memory 520) or other storage device accessible by device 500. Device 500 may load program 530 from the computer-readable medium into RAM 522 for execution. In some example embodiments, the computer-readable medium may include any type of non-transitory storage medium, such as ROM, EPROM, flash memory, hard disk, CD, DVD, etc. As used herein, the term "non-transitory" is a limitation on the medium itself (i.e., tangible, not tactile), rather than a limitation on the persistence of data storage (e.g., RAM and ROM).

[0167] Figure 6 An example of a computer-readable medium 600 is shown, which may be in the form of a CD, DVD, or other optical storage disc. A program 530 is stored on the computer-readable medium 600.

[0168] Generally, the various embodiments of this disclosure can be implemented in hardware or dedicated circuitry, software, logic, or any combination thereof. Some aspects can be implemented in hardware, while others can be implemented in firmware or software that can be executed by a controller, microprocessor, or other computing device. Although various aspects of the embodiments of this disclosure are illustrated and described as block diagrams, flowcharts, or using some other graphical representation, it should be understood that, as non-limiting examples, the blocks, apparatuses, systems, techniques, or methods described herein can be implemented in hardware, software, firmware, dedicated circuitry or logic, general-purpose hardware or controllers or other computing devices, or some combination thereof.

[0169] Some exemplary embodiments of this disclosure also provide at least one computer program product tangibly stored on a computer-readable medium, such as a non-transitory computer-readable medium. The computer program product includes computer-executable instructions that execute in a device on a target physical or virtual processor, such as those included in a program module, to perform any of the methods described above. Typically, a program module includes routines, programs, libraries, objects, classes, components, data structures, etc., that perform a particular task or implement a particular abstract data type. In various embodiments, the functionality of a program module can be combined or split among program modules as needed. The machine-executable instructions for a program module can execute within a local or distributed device. In a distributed device, the program module can reside in both local and remote storage media.

[0170] Program code used to perform the methods of this disclosure may be written in any combination of one or more programming languages. The program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a stand-alone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0171] In the context of this disclosure, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, etc.

[0172] Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable media can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any suitable combination thereof. More specific examples of computer-readable storage media will include electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable optical disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0173] Furthermore, although operations are described in a specific order, this should not be construed as requiring that such operations be performed in the specific order shown or sequentially, or that all shown operations be performed to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the discussion above, these details should not be construed as limiting the scope of this disclosure, but rather as descriptions of features that may be specific to particular embodiments. Unless explicitly stated otherwise, certain features described in the context of a single embodiment may also be implemented in combination in a single embodiment. Conversely, unless explicitly stated otherwise, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.

[0174] Although this disclosure has been described in language specific to structural features and / or methodological actions, it should be understood that the disclosure as defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are disclosed as exemplary forms for implementing the claims.

Claims

1. A first device, comprising: At least one processor; as well as At least one memory storing instructions that, when executed by the at least one processor, cause the first device to at least: The configuration of receiving a set of reference signal resources from the second device includes multiple configurations corresponding to multiple subsets of reference signal resources within the set of reference signal resources. Configuration for receiving channel state information (CSI) reports associated with the reference signal resource set from the second device; as well as Based on the CSI report configuration, a CSI report is transmitted to the second device. The CSI report includes: indication information indicating at least one subset of reference signal resources in the plurality of reference signal resource subsets, and measurement information related to the at least one subset of reference signal resources.

2. The first apparatus according to claim 1, wherein each of the plurality of reference signal resource subsets includes more than one reference signal resource within the reference signal resource set.

3. The first device according to claim 1 or 2, wherein the first device is further configured to: Based on the subset selection criteria, at least one subset of reference signal resources for reporting is determined from the plurality of reference signal resource subsets.

4. The first apparatus of claim 3, wherein the subset selection criterion is based on one of the following: Select a subset of reference signal resources that includes a predetermined number of reference signals with optimal measurement information. Select a subset of reference signal resources that includes reference signals with the expected changes in the measurement information, or Select a subset of reference signal resources that includes reference signals with measurement information that meet a predetermined threshold.

5. The first device according to any one of claims 1 to 4, wherein the first device is configured to: If it is determined that the CSI report configuration is used for beam reporting, then the CSI report including the indication information and the measurement information is transmitted to the second device.

6. The first apparatus according to any one of claims 1 to 5, wherein the indication information in the CSI report includes at least one bit field, each bit field identifying a subset of reference signal resources in the at least one subset of reference signal resources.

7. The first apparatus of claim 6, wherein the dimension of the bit field identifying a subset of reference signal resources is determined based on the number of subsets of reference signal resources within the reference signal resource set.

8. The first apparatus according to any one of claims 1 to 7, wherein the measurement information associated with the subset of reference signal resources is arranged in the CSI report in the order of the reference signal resources corresponding to the subset of reference signal resources.

9. The first apparatus according to any one of claims 1 to 8, wherein the reference signal resource set includes a non-zero power channel state information reference signal (NZP-CSI-RS) resource set or a synchronization signal block (SSB) resource set, and / or The measurement information includes the Layer 1 Reference Signal Received Power (L1-RSRP) or the L1 Signal-to-Interference-plus-Noise Ratio (L1-SINR).

10. The first device according to any one of claims 1 to 9, wherein the first device is a terminal device or is included in a terminal device, and the second device is a network device or is included in a network device.

11. A second device, comprising: At least one processor; as well as At least one memory storing instructions that, when executed by the at least one processor, cause the second device to at least: A configuration for transmitting a set of reference signal resources to a first device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the set of reference signal resources; The configuration for transmitting Channel State Information (CSI) reports associated with the reference signal resource set to the first and second devices; as well as The first device receives a CSI report, the CSI report including: indication information indicating at least one subset of the plurality of reference signal resources, and measurement information associated with the at least one subset of reference signal resources.

12. The second apparatus of claim 11, wherein each of the plurality of reference signal resource subsets includes more than one reference signal resource within the reference signal resource set.

13. The second apparatus according to claim 11 or 12, wherein the indication information in the CSI report includes at least one bit field, each bit field identifying a subset of reference signal resources in the at least one subset of reference signal resources; and The dimension of the bit field that identifies a subset of reference signal resources is determined based on the number of subsets of reference signal resources within the reference signal resource set.

14. A method comprising: The first device receives a configuration of a reference signal resource set from the second device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the reference signal resource set; Configuration for receiving channel state information (CSI) reports associated with the reference signal resource set from the second device; as well as Based on the CSI report configuration, a CSI report is transmitted to the second device. The CSI report includes: indication information indicating at least one subset of reference signal resources in the plurality of reference signal resource subsets, and measurement information related to the at least one subset of reference signal resources.

15. A method comprising: A configuration for transmitting a set of reference signals from a second device to a first device, the configuration including multiple configurations corresponding to multiple subsets of reference signals resources within the set of reference signals resources; The configuration for transmitting Channel State Information (CSI) reports associated with the reference signal resource set to the first and second devices; as well as The first device receives a CSI report, the CSI report including: indication information indicating at least one subset of the plurality of reference signal resources, and measurement information associated with the at least one subset of reference signal resources.

16. A first device, comprising: Components for receiving a set of reference signal resources from a second device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the set of reference signal resources; A component configured to receive a channel state information (CSI) report associated with the reference signal resource set from the second device; as well as Components for transmitting a CSI report to the second device based on the CSI report configuration, the CSI report including: indication information indicating at least one subset of reference signal resources in the plurality of reference signal resource subsets, and measurement information associated with the at least one subset of reference signal resources.

17. A second device, comprising: Components for transmitting a configuration of a set of reference signal resources to a first device, the configuration including multiple configurations corresponding to multiple subsets of reference signal resources within the set of reference signal resources; Components configured to transmit channel state information (CSI) reports associated with the reference signal resource set to the first and second devices; as well as A component for receiving a CSI report from the first device, the CSI report including: indication information indicating at least one subset of reference signal resources in the plurality of reference signal resource subsets, and measurement information associated with the at least one subset of reference signal resources.

18. A computer-readable medium comprising instructions stored thereon for causing a device to perform at least the method of claim 14 or the method of claim 15.

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