Communication channel assessment method and device and computer readable storage medium

Abstract

A wireless communication method includes: receiving at least one reference signal for channel assessment; and reporting channel state information, the channel state information comprising at least one of beam quality information and / or resource indicators, the resource indicators indicating whether the channel state information is for a first set of resources for measurement and / or a second set of resources for measurement. And estimating the wireless communication channel based on the second set of resources.

Description

Technical Field

[0001] This disclosure relates generally to wireless communication, and more specifically to wireless communication beam management based on advanced technologies. Background Technology

[0002] Wireless communication technology is a key component of an increasingly interconnected global communication network. Wireless communication relies on accurately allocated time and frequency resources for transmitting and receiving wireless signals. Beam management is used in advanced wireless communication to acquire and maintain a set of beams for DL ​​and UL transmission / reception. Beam measurements for beam management can be resource-intensive; therefore, effectively obtaining suitable beams for wireless communication is a pressing issue. Summary of the Invention

[0003] This invention provides a brief description of certain aspects of the present disclosure and is not intended to limit the scope of the disclosure.

[0004] According to some embodiments of this disclosure, a wireless communication method is disclosed. The method includes: receiving at least one reference signal for channel evaluation; and reporting channel state information, the channel state information including at least one of beam quality information and / or resource indicator, the resource indicator being used to indicate whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used for measurement to estimate a wireless communication channel based on the second resource set.

[0005] According to some embodiments of this disclosure, another wireless communication method is also disclosed. The method includes: transmitting at least one reference signal for channel evaluation; and receiving channel state information, the channel state information including at least one of beam quality information and / or a resource indicator, the resource indicator indicating whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used for measurement to estimate a wireless communication channel based on the second resource set.

[0006] Another embodiment of this disclosure provides a wireless communication device, including: one or more storage units and one or more processors, wherein the one or more storage units store one or more programs, and the one or more processors are electrically coupled to the one or more storage units and configured to execute the one or more programs to perform any method or step or combination thereof of this disclosure.

[0007] Another embodiment of this disclosure provides a non-transitory computer-readable storage medium that stores one or more programs configured to, when executed by at least one processor, cause any method or step or combination thereof of this disclosure to be performed.

[0008] According to some embodiments of this disclosure, one or more wireless communication methods are also disclosed, which include combinations of specific methods, aspects, elements and steps (whether from a general or specific perspective) disclosed in various embodiments of this disclosure.

[0009] The above and other aspects and their implementations are described in more detail in the accompanying drawings, specification and claims. Attached Figure Description

[0010] Various exemplary embodiments of this disclosure will now be described in detail with reference to the accompanying drawings. The drawings are provided for illustrative purposes only and depict only exemplary embodiments of this disclosure to facilitate understanding. Therefore, the drawings should not be construed as limiting the breadth, scope, or applicability of this disclosure. It should be noted that these drawings are not necessarily drawn to scale for clarity and ease of explanation.

[0011] Figure 1 The beam management functionality is shown.

[0012] Figure 2 An example resource indicator is shown.

[0013] Figure 3 Another example resource indicator is shown.

[0014] Figure 4 Another example resource indicator is shown.

[0015] Figure 5 An exemplary schematic diagram of the system architecture is shown.

[0016] Figure 6 The structure of a wireless communication system is shown. Detailed Implementation

[0017] With the increasing cost of allocating wide or ultra-wide spectrum resources in today's advanced wireless communication technologies, the significant propagation loss caused by extremely high frequencies has become a notable challenge. To address this significant propagation loss, massively multi-input multiple-output (MIMO) antenna arrays and beamforming training techniques can be employed to achieve beam alignment and obtain sufficiently high antenna gain. To benefit from antenna arrays while maintaining a low implementation cost, analog phase shifters have become an ideal solution for millimeter-wave beamforming. Therefore, the number of controllable phases can be finite, and constant-mode constraints are imposed on these antenna elements. Given a pre-specified beam pattern, variable-phase-shift-based beamforming training aims to identify the optimal pattern for subsequent data transmission, for example, between a transmission-reception point (TRP) such as a base station (BS) and the UE panel. Figure 1 An example of beam-based uplink / downlink (UL / DL) transmission is shown, where the solid beams represent the selected transmit / receive (Tx / Rx) beams used for wireless transmission.

[0018] A series of beam management procedures have been developed for adjusting beam orientation in high-frequency bands and maintaining appropriate transmit / receive beam pairs. These procedures include beam scanning, beam measurement, beam reporting, and beam indication. Specifically, in the current implementation, the UE can be configured with one or more resource settings for channel measurement and one or more resource reporting settings for Channel State Information (CSI) reporting. Each reporting setting may include parameters for a CSI reporting band and CSI-related quantities to be reported by the UE.

[0019] For beam management, the CSI-related quantities to be reported by the UE can be indicated by the higher-layer parameter "Report Quantity" in the reporting settings. These CSI-related quantities mainly include: CSI-RS (reference signal) resource indicator (CRI), SS / PBCH (Synchronization Signal / Physical Broadcast Channel) block resource indicator (SSBRI), L1 (Layer 1)-RSRP (Reference Signal Received Power), or L1-SINR (Signal-to-Interference-plus-Noise Ratio). More specifically, the higher-layer parameter "Report Quantity" can be set to "cri-RSRP", "cri-SINR", "ssb-Index-RSRP", and / or "ssb-Index-SINR". For example, if the higher-layer parameter reporting quantity is set to "cri-RSRP", the UE can set it to report one or more CRIs and associated L1-RSRPs in a single report for each report, where the number of RS resources to be reported can be configured by the higher layer. The UE can derive CSI parameters other than the resource indicators (i.e., CRI / SSBRI) based on the reported resource indicators, where the resource indicator k (k≥0) corresponds to the (k+1)th associated resource configured in the corresponding resource set used for channel evaluation (such as channel measurement and / or estimation).

[0020] Differential-based reporting methods can also be used to report L1-RSRP and L1-SINR. For example, for L1-RSRP reporting, if the number of RS resources to be reported in the reporting settings is configured to one, the reported L1-RSRP value can be defined as a 7-bit value ranging from [-140, -44] dBm with a step size of 1 dB. If the number of measured RS resources to be reported in the reporting settings is configured to be greater than one, the UE can use differential L1-RSRP-based reporting, where the maximum L1-RSRP measurement is quantized as a 7-bit value ranging from [-140, -44] dBm with a step size of 1 dB, and the differential L1-RSRP is quantized as a 4-bit value. The differential L1-RSRP value can be calculated with a 2 dB step size, referencing the maximum L1-RSRP measurement, which is a part of the same L1-RSRP reporting instance. As an example, the bit widths of CRI, SSBRI, RSRP, and differential RSRP are provided in Table 1 below.

[0021] Table 1

[0022]

[0023] In Table 1, This represents the number of CSI-RS resources in the corresponding resource set; This represents the number of SS / PBCH blocks configured in the corresponding resource set for reporting "ssb-Index-RSRP". As an example, the mapping order of the CSI fields for a report used for CRI / RSRP or SSBRI / RSRP reporting can be provided in Table 2 below.

[0024] Table 2

[0025] To reduce the overhead of beam and channel measurements in beam management, artificial intelligence (AI) models (such as machine learning (ML) techniques) are introduced to evaluate or measure the performance of representative reference signals. The performance of these representative reference signals can then be used to estimate the performance of other reference signals through inference. Typically, AI / ML models are pre-trained to predict the performance of other reference signals based on a limited number of measurements. Training can include, for example, supervised learning, unsupervised learning, reinforcement learning, transfer learning, semi-supervised learning, or self-supervised learning. AI / ML inference typically includes a model or algorithm representing knowledge or patterns learned from data, and training performed by a trainer can be used to prepare the model. Inference data is fed into the model to produce output or predictions. Here, the AI / ML model can include at least one of the following: for example, artificial neural networks, decision trees, support vector machines, reinforcement learning models, ensemble models, generative models, and / or probabilistic models.

[0026] Due to limitations in model generalization, beam management models trained on the UE side typically lack universality and are only applicable to specific scenarios, configurations, or settings. When the channel environment or scenario changes, the beam prediction accuracy of the model may decrease significantly, leading to a loss of system performance.

[0027] This disclosure addresses how, in the event of model failure, the UE reports using a pre-configured reporting volume associated with the old model and identifies new, low-cost candidate models. This disclosure uses a UE-side AI / ML model for beam management as an example, and instructs the UE from the network (NW) to use two beam sets: one set for beam performance measurement and another for beam performance prediction. Depending on the performance of the prediction model (e.g., the AI / ML model), the UE can report beams from either the beam set used for prediction or the beam set used for measurement, respectively.

[0028] To allow for flexible switching between two resource sets for UE reporting, the bit width of the resource indicator can be expanded. For example, an additional 1-bit indicator can be introduced to indicate the reporting of the corresponding beam set. Alternatively / in addition, a special symbol can be inserted in the CSI field for use with the reporting resource indicator.

[0029] In addition to the reporting resource indicator, other configured reporting quantities can be obtained for UE reporting based on predefined mapping relationships or post-processing of measurement results (such as RSRP and SINR) of the beam set used for measurement. Furthermore, when a model failure is detected (e.g., when the model failure detection counter reaches a specified maximum value during timer operation), new candidate models can be identified based on the model groups indicated to the UE by the network, thereby reducing the reference signal (RS) overhead used for performance monitoring.

[0030] In this disclosure, "beam status" may be equivalent to quasi-co-location (QCL) status, transmission configuration indicator (TCI) status, spatial relation (also known as spatial relation information), reference signal (RS), spatial filter, and / or precoding. Furthermore, the terms "beam status" and "beam" are used interchangeably. The term "Tx beam" may refer to QCL state, TCI state, spatial relationship state, DL / UL reference signals (such as Channel State Information Reference Signal (CSI-RS), Synchronization Block (SSB, also known as SS / PBCH), Demodulation Reference Signal (DMRS), Sounding Reference Signal (SRS), Physical Random Access Channel (PRACH), Tx spatial filter, and / or Tx precoding. "Rx beam" may refer to QCL state, TCI state, spatial relationship state, spatial filter, Rx spatial filter, and / or Rx precoding. "Beam ID" may refer to QCL state index, TCI state index, spatial relationship state index, reference signal index, spatial filter index, and / or precoding index. Specifically, the spatial filter can be a UE-side or gNB-side spatial filter, and the spatial filter can also be called a "spatial domain filter." "Spatial relationship information" may include one or more reference RSs, which can be used to represent the same or quasi-co-located "spatial relationship" between the target "RS or channel" and one or more reference RSs.

[0031] A “beam state” may be associated with or include one or more reference RSs and their corresponding QCL type parameters. QCL type parameters may include at least one or a combination of the following: (1) Doppler spread, (2) Doppler frequency shift, (3) delay spread, (4) average delay, (5) average gain, and (6) spatial parameters. A “TCI state” may be equivalent to a “beam state”. A “spatial parameter” may be equivalent to a spatial parameter, a spatial Rx parameter, or a spatial filter. In this disclosure, “QCL-TypeA”, “QCL-TypeB”, “QCL-TypeC”, and “QCL-TypeD” may be defined as follows: - "QCL-TypeA": {Doppler frequency shift, Doppler spread, average delay, delay spread}; - "QCL-TypeB": {Doppler frequency shift, Doppler spread}; - "QCL-TypeC": {Doppler frequency shift, average delay}; - “QCL-TypeD”: {space Rx parameter}.

[0032] Furthermore, in this specification, "Uplink (UL) channel" may include the Physical Uplink Control Channel (PUCCH) or the Physical Uplink Shared Channel (PUSCH). "Downlink (DL) channel" may include the Physical Downlink Control Channel (PDCCH) or the Physical Downlink Shared Channel (PDSCH). "UL RS" may include the Sounding Reference Signal (SRS), Physical Random Access Channel (PRACH), or Demodulation Reference Signal (DMRS) (such as the DMRS of PUSCH or PUCCH). "DL RS" may be an SSB (Synchronization Block), CSI-RS, or DMRS (such as the DMRS of PDSCH or PDCCH). "UL signal" may be a UL channel or a UL RS (such as SRS, PRACH, DMRS, PUSCH, or PUCCH). "DL signal" may be a DL channel or a DL RS (such as SSB, CSI-RS, DMRS, PDSCH, or PDCCH). A “time unit” can be a sub-symbol, symbol, time slot, subframe, frame, or transmission opportunity. Power control parameters can include at least one of the following: target power (also known as P0), path loss scaling factor (also known as alpha), or closed-loop process. Path loss can be coupling loss. “DCI” is equivalent to “PDCCH”. “Precoding information” can be equivalent to a Precoding Matrix Indicator (PMI), a Transmission Precoding Matrix Indicator (TPMI), precoding, or beamforming. “Transmission-reception point” (TRP) is equivalent to an RS port, an RS port group, an RS resource, or a set of RS resources. “Port group” is equivalent to an antenna group or a UE port group. The term “model” can represent, be equivalent to, or include: a function, a functional module, a function module, a processing method, an information processing method, or an implementation. Additionally or alternatively, as described herein, the term “model” can be used to refer to the ability of a user equipment to perform a specific process or possess a specific function, feature, and / or set of features. Furthermore, the aspects described herein can be used or implemented in any communication network of various types, including wireless communication networks, cellular communication networks, or mobile communication networks, covering future implementations of such networks, such as 6G mobile communication networks and beyond 6G mobile communication networks.

[0033] Resource indicator report: In conventional beam scanning, all candidate beams are scanned, and the optimal beam with the highest RSRP is selected for data transmission. However, this can lead to excessive training overhead, measurement power consumption, and processing latency, especially when using narrow pencil beams. By using spatial domain beam prediction based on AI / ML (Artificial Intelligence / Machine Learning), the optimal narrow beam can be predicted directly based on measurements of all wide beams or some narrow beams. This eliminates the need for a full beam scan of all narrow beams, thus reducing the RS overhead of beam management.

[0034] For ease of understanding, let's assume, for example, that the network configures or indicates two resource sets, namely, set A and set B, for UE reporting. Resources in set B are configured for channel measurements and associated with different wide beams. The measurement results from set B are used as model input. Resources in set A are used for prediction and associated with different narrow beams, with model inference used to predict the optimal narrow beam among these different narrow beams. Through AI / ML-based beam management, the UE can first measure the network-configured RS resource sets (i.e., set B) corresponding to different downlink wide beams. Then, the wide beam measurement results are input into the UE-side AI / ML model. The AI / ML model's pattern inference predicts the indicator or identifier of the optimal narrow beam. If the UE-side model operates with acceptable performance, the resource indicator or identifier reported by the UE represents different candidate narrow beams, and the optimal candidate beam should be selected from set A, not set B. However, limited by the generalization of the AI / ML model, when the wireless communication environment changes drastically, the deployed AI / ML model may not accurately predict the optimal beam information. In this situation, the UE may report the measurement results of set B instead of the prediction results of set A.

[0035] According to some embodiments, the network configures or indicates two RS resource sets to the UE. The two resource sets have N resources and M resources respectively, where N is less than M. The first RS resource set (i.e., set B) is configured or indicated for channel measurement and should be transmitted from the BS to the UE for beam performance measurement. The second RS resource set (i.e., set A) is configured or indicated for prediction and can therefore be a virtual beam; that is, the resources of set B do not need to be actually transmitted for beam performance measurement. For beam measurement and reporting, resources are configured in the first resource set for channel measurement, and the UE can then derive CSI parameters other than the resource indicators (i.e., CRI / SSBRI) based on the reported resource indicators.

[0036] For example, in a UE report, resources in both set A and set B can be identified by extending the bit width of the resource indicator. For instance, the bit width of the resource indicator could be... , where the function The function is a rounding-up function, which derives the next integer of the internal value. Furthermore, the mapping between the resource indicators reported by the UE and the resources in the corresponding resource sets can be predefined and known to both the network (or base station, BS) and the UE. For example, resource indicator k (0 ≤ k ≤ N-1) corresponds to the (k+1)th associated resource in the first resource set used for channel measurement, and resource indicator k (N ≤ k ≤ M+N-1) corresponds to the (k-N+1)th associated resource in the second resource set used for prediction. Alternatively or additionally, resource indicator k (0 ≤ k ≤ M-1) corresponds to the (k+1)th associated resource in the second resource set used for prediction; resource indicator k (M ≤ k ≤ M+N-1) corresponds to the (k-M+1)th associated resource configured in the first resource set used for measurement. By extending the bit width of the resource indicators in the UE report, the UE can flexibly report measurement results for the first RS resource set and prediction results for the second RS resource set. Figure 2 The following example is provided: The first RS resource set has 4 resources (N=4), and the second RS resource set has 8 resources (M=8). The indicator has a total of 4 bits, which is sufficient for the indicator to map to all resources in set A or set B.

[0037] Alternatively or otherwise, according to Figure 3 In some embodiments shown, for each reporting instance or each time instance, a 1-bit model performance indicator with a value of 0 or 1 is reported to indicate whether the model indicator is for a first resource set or a second resource set. The reported model performance indicator can indicate whether the deployed UE-side AI / ML model is running at acceptable performance and whether model failure has occurred. In this example, the first resource set has N=4 resources and the second resource set has M=8 resources.

[0038] For example, when the 1-bit model performance indicator is set to "0", the prediction results for the second RS resource set are reported. That is, the bit width of the resource indicator is... Here, the resource indicator k (0 ≤ k ≤ M-1) corresponds to the (k+1)th associated resource in the second resource set used for prediction. In this case, it indicates that the UE-side model can operate with acceptable performance, and therefore, the predicted beam information is reported.

[0039] Alternatively, when the 1-bit model performance indicator is set to "1", the measurement results for the first RS resource set are reported. That is, the bit width of the resource indicator is... Here, the resource indicator k (0 ≤ k ≤ N-1) corresponds to the (k+1)th associated resource in the first resource set used for measurement. In this case, it indicates that the UE-side model cannot operate with acceptable performance, therefore, the beam information of the measurement set B is reported. To ensure that the CSI payload is constant with the previous case, the bit width of the resource indicator in the first resource set is extended; in this case, it has 3 bits, but only 2 bits are sufficient when reporting the first set.

[0040] Alternatively or otherwise, according to Figure 4 In some embodiments shown, when the 1-bit model performance indicator is set to '1', the measurement results of the first RS resource set are reported. That is, the bit width of the resource indicator is... , where N is the number of resources in the resource set. Here, in Figure 4 In the first resource set, N is 2. The resource indicator k (0 ≤ k ≤ N-1) corresponds to the (k+1)th associated resource in the first resource set used for measurement. In this case, it indicates that the UE-side model cannot operate with acceptable performance; therefore, the beam information for measurement is reported. The bit width of the resource indicator in the first resource set is not as... Figure 3 Extend the examples as shown in the text. Typically, Less than Therefore, to ensure a constant CSI payload as in the previous case, one or more extra bits in the CSI field in the UE report can be appended with a special sign (such as zero). Alternatively or additionally, different quantization methods indicated by the network can be used to report beam quality (such as RSRP, SINR, probability of being the optimal beam, etc.). For example, a higher precision quantization method (with a wider quantization range or smaller step size) can be used, thus consuming more bits for RSRP quantization.

[0041] The methods described above increase reporting overhead by extending the bit width of the resource indicator or by introducing a model performance indicator. Alternatively, other reporting methods can allow switching between a first RS resource set and a second RS resource set for UE reporting without increasing reporting overhead. Specifically, if a measured RS in the second RS resource set is to be reported, the bit width of the resource indicator is [not specified]. The resource indicator k (0 ≤ k ≤ M-1) corresponds to the (k+1)th associated resource in the second resource set used for prediction. If measured RSs in the first RS resource set are to be reported, the bit width of the resource indicator is... The resource indicator k (0 ≤ k ≤ N-1) is used to measure the (k+1)th associated resource in the first resource set. Furthermore, to ensure a constant CSI payload, one or more special symbols can be inserted at specific positions in the CSI field to indicate that the reported resource indicator was selected from the first RS resource set. For example, all special symbols are zero, and the special positions indicate the beginning or end of the CSI field. After detecting a special symbol at a special position, the network understands that the reported resource indicator comes from the first RS resource set rather than the second RS resource set.

[0042] Quality information report: Alternatively, the UE can be configured to report corresponding beam quality information (such as RSRP, SINR, confidence level, or probability of being the optimal beam) based on model output parameters. The reporting amount can be configured based on the model output. Typically, if a regression AI / ML model is used on the UE side, the identifier and associated RSRP of each beam can be predicted. Subsequently, the beam with the highest predicted RSRP value can be selected as the optimal beam. Alternatively, if a classification AI / ML model is used on the UE side, the identifier and associated probability of each beam can be predicted. Subsequently, the beam with the highest predicted probability can be selected as the optimal beam.

[0043] As mentioned earlier, when the wireless communication environment changes drastically and model failure occurs, the deployed model may not operate with acceptable performance. After the UE detects a model failure, but before the network reconfiguration report is set, the UE may still need to report previously configured quantities based on the model output, but based on the measurement results of the configured resource set used for channel measurements. Specifically, if the reporting quantity is configured as RSRP, the UE can directly report the measurement results of the first RS resource set (i.e., set B) used for channel measurements in the event of a model failure. The following considers how to map RSRP to other beam quality information such as confidence or probability.

[0044] According to some embodiments, after a model failure is detected but before the reporting settings are reconfigured, all configured reporting quantities, except for resource indicators and RSRP, are reported with predefined or special values ​​(such as 0, 100, 100%, 100 / K, 1 / K, where K is the number of resource indicators to be reported). Alternatively, the special values ​​reported may indicate whether the deployed UE-side AI / ML model is operating with acceptable performance and whether a model failure has occurred. For example, assuming four measurement resources are to be reported (resource identifiers 2, 5, 7, and 8), some examples of reporting parameters are shown below.

[0045] For the resource indicator with the highest measured RSRP, its corresponding probability can be reported as a predefined value (e.g., 100 or 100%); and other probabilities are reported as another predefined value (e.g., 0). For each resource indicator to be reported, its corresponding probability is reported as 100 / K or 1 / K, where K is the number of resource indicators to be reported (here, 4). For each resource indicator to be reported, its corresponding probability is reported as a predefined value (e.g., 0, 100, or 100%). Table 3 below shows an example report.

[0046] Table 3

[0047] Alternatively, for each resource indicator to be reported, a corresponding reporting quantity (such as confidence level or probability) can be obtained based on post-processing of the measured quantity (such as the measured RSRP or the difference between the measured RSRP and the strongest RSRP). For example, the UE can compress the measured quantity to a predefined interval to represent the reporting quantity, where the measured quantity can be a linear, logarithmic, or exponential value. For example, the predefined interval can be set to [0, 1]. Exemplarily, for a specific resource indicator to be reported, the corresponding reporting quantity can be obtained through... or Obtain, among which, x For the corresponding measured value, and These are the minimum and maximum measured values ​​among all measured values ​​in the reported instance or among all measured values ​​in the resource set used for channel measurements, respectively. Thus, the measured values ​​are mapped to the range [0, 1].

[0048] Alternatively or additionally, for a specific resource indicator to be reported, the corresponding reporting quantity can be obtained through... or or Obtain, among which, x It corresponds to the measured value. This represents the value of each measurement in the report instance or the value of each measurement in the resource set used for channel measurements. It is the sum of the values ​​of all measurements in the report instance or the sum of the values ​​of all measurements in the resource set used for channel measurements.

[0049] Table 4 below shows a specific example: 2 out of 4 resource indicators are pending reporting.

[0050] Table 4

[0051] Alternatively, for each resource indicator to be reported, a corresponding reporting value (such as confidence or probability) can be obtained based on a predefined mapping between measured values ​​(such as the measured RSRP or the difference between the measured RSRP and the strongest RSRP) and reporting values. Table 5 shows an example of the mapping.

[0052] Table 5

[0053] Alternatively, if the bit width of the quantity used for measurement (such as the measured RSRP, or the difference between the measured RSRP and the strongest RSRP) is the same as the bit width of the configured reporting quantity (such as confidence or probability), the UE can directly report the measured quantity corresponding to the resource indicator. Furthermore, a 1-bit reporting quantity indicator with a reporting value of 0 or 1 can be used to indicate whether the reported quantity is a measured quantity or a configured reporting quantity, respectively.

[0054] Alternatively, if the resource indicator is a unique quantity configured for UE reporting, all resource indicators to be reported can be reported in ascending or descending order of their corresponding measured values. Alternatively, the resource indicator with the largest measured value can be placed first, according to the mapping order of the CSI fields in a report.

[0055] Model failure recovery: Models trained on the UE side for beam performance prediction are often not universally applicable to a wide range of environments. That is, the model may only function correctly under specific scenarios, configurations, or settings. When the channel environment or scenario changes, the model's beam prediction accuracy may significantly decrease, leading to system performance loss. To monitor the performance of the UE-side model, beams from both set B and set A can be configured or transmitted to the UE. The UE can then use model inference to directly predict the optimal beam based on measurements of a subset of beams or wide beams in set B. Alternatively, the UE can directly measure all beams in set A to obtain the actually measured optimal beam. By comparing the predicted optimal beam obtained from model inference with the measured optimal beam, the reliability of the currently running model can be determined.

[0056] According to some embodiments, for a single model inference failure (e.g., in the above embodiments, when the 1-bit model performance indicator is set to '1'), this situation is recorded as a model failure sample and reported to the UE's Medium Access Control (MAC) layer. The MAC layer maintains an associated model failure detection timer and counter. Each time the MAC layer receives a model failure sample report, the model failure detection timer starts or restarts, and the model failure detection counter increments by 1. If the timer times out (e.g., when the timer counts from a preset value to zero or counts to a preset threshold), the UE resets the failure counter to 0, ensuring that model failure detection is based on continuous model failure sample reports between timer timeouts. If the model failure detection counter reaches a specified maximum threshold during timer operation, a model failure event is considered to have occurred. Therefore, the network will deactivate the old model and fall back to the legacy process, and / or activate the new model.

[0057] When the currently running model fails (i.e., once the counter reaches a preset value), the UE can identify or switch to a new model to ensure continuous service performance. However, the beams associated with different models (e.g., beam angle, beamwidth, beam shape, and the number of beams required for a specific model for beam performance prediction) are often different. Therefore, the process of finding a new model can consume significant resources, especially when there are a large number of candidate models.

[0058] According to some embodiments, the UE can indicate or report to the network whether it supports the ability to monitor multiple models simultaneously and the number of models that can be monitored simultaneously. Subsequently, the network groups all models supported by the UE or already deployed at the UE. After activating a model, the network can indicate other model IDs within the model group to the UE as a pool of candidate models via RRC (Radio Resource Control), MACCE (Medium Access Control Control Element), or DCI (Downlink Control Information) signaling. All models within the same model group can share all reference signal resources used for model performance monitoring. Therefore, when a failure event of the currently running model is detected and it is determined that the current model is invalid, the UE can monitor the performance of all other models within the same model group based on the same reference signal resources and find new candidate models from the model candidates within the model group. In the uplink transmission of a model failure recovery request, the UE can provide at least one of the following: an index of the failed / invalid model, an indication of whether a new candidate model has been identified, and / or an index or indicator of a new candidate model in the corresponding model group (if identified). If no new model is identified, it indicates that the UE and the network believe that all models within the same model group are not functioning correctly in the current scenario.

[0059] Alternatively, during UE model training, fine-tuning, or updates, the network may provide the UE with auxiliary information for UE data collection to classify the data and distinguish its characteristics. This auxiliary information may include two types of IDs. The first type of ID represents beamform-related features of the model input or output (such as 3dB beamwidth, beam axial direction, beam shape, or Tx (transmit) beam angle); the second type of ID represents beamform-independent features of the model input or output. When the first type of IDs are the same, it means that the corresponding models can share all reference signal resources used for performance monitoring. Therefore, when a failure of the currently running model is detected, the UE can monitor the performance of all other models with the same first type of ID based on the same reference signal resources, and the UE can find new candidate models from the candidate pool of models. In the uplink transmission of a model failure recovery request, the UE can provide an index of the failed model, an indication of whether a new candidate model has been identified, or an index / indicator of a new candidate model (if identified).

[0060] Alternatively, to address the simultaneous failure of multiple models deployed on the UE side, the UE can indicate or report to the network, through its UE capabilities, the maximum number of simultaneous model failure detection or recovery processes it can support. When multiple models fail simultaneously, if sufficient uplink transmission resources exist to send model failure recovery requests, the UE can report the model failure information of multiple models in a single uplink transmission, reducing reporting overhead and latency. Alternatively, if insufficient uplink transmission resources exist to send model failure recovery requests to the network or BS, the UE can send a scheduling request to request more uplink transmission resources. Alternatively, or additionally, the signaling or message carrying the model failure recovery request can be compressed or truncated. This allows the network to identify which models have failed and allocate more uplink transmission resources to the UE.

[0061] Models trained on the UE side for beam performance prediction are typically not universally applicable to a wide range of environments. That is, the model may only operate under specific scenarios, configurations, or settings. When a particular UE-side model is activated, the network should theoretically strictly adhere to the configuration or settings associated with that model to ensure proper operation. However, for scheduling or flexibility purposes, network configurations or settings may change over time, and the network may not be able to guarantee that corresponding transmissions always follow the configuration or settings associated with the activated UE-side model. For example, some beams used for channel measurements may be unavailable for transmission at certain times. In such cases, the network can directly deactivate or switch the UE-side model. Alternatively, the network can indicate anomaly information to the UE, and the UE can then perform beam prediction / reporting or data collection based on the indicated information. Compared to directly deactivating / switching the UE-side model after configuration or setting changes, this approach avoids frequent model switching and improves the flexibility of network implementation.

[0062] In one possible implementation, the network notifies the UE, via configuration, signaling, or message, that certain beams associated with a specific UE-side model are unavailable for transmission. Specifically, the network reports / indicates the number of beams at the model input and output corresponding to the UE-side model through a UE capability report. Furthermore, the UE capability indicates whether different beams (e.g., different beam numbers, different beam angles, or different beamwidths) can be configured for channel measurements for a specific UE-side model. Subsequently, after the UE-side model is activated, each reference signal resource set used for channel measurements is associated with a bitmap whose length is equal to the number of beams at the model input (e.g., the number of resources in the first resource set) or the number of beams at the model output (e.g., the number of resources in the second resource set). Each bit in this bitmap corresponds to a beam, and by setting the bit to 1 or 0, the network notifies the UE whether the corresponding beam is available for transmission.

[0063] When some beams in the model input cannot be transmitted, the UE can evaluate the quality of those beams through interpolation or other algorithms and enable model inference to predict the optimal beam. When some beams in the model output cannot be transmitted, the UE can avoid reporting those beams after enabling model inference to predict the optimal beam. For example, when the optimal beam predicted by the UE cannot be transmitted, the UE can report the suboptimal beam obtained through model inference.

[0064] In another possible implementation, the network can notify the UE via configuration, signaling, or message that certain beams associated with the model cannot be transmitted, or that a new beam has been transmitted (e.g., a new beam ID appears in the configuration). In this case, the UE should perform beam measurements based on the indicated information and initiate data collection and model update / fine-tuning / training processes.

[0065] Reporting of different channel / beam information: This embodiment applies to the reporting of L1-SINR or SSBRI. Reporting of L1-SINR and / or SSBRI follows the same mechanism described above. In all the above embodiments, CRI can be replaced with SSBRI, and / or L1-RSRP can be replaced with L1-SINR.

[0066] Wireless communication system architecture: Figure 5 An exemplary schematic diagram of a system architecture for performing the methods of embodiments of this disclosure is shown. The current base station in core network 103 (referred to as first network element 101) can select a suitable base station (BS) as a second network element 102 for user equipment (UE) 100. For example, a suitable BS can be selected by comparing the channel quality of the BS with a predetermined threshold. The two base BSs can provide radio resources for UE 100 for data transmission on the user plane. On the wired interface side, first network element 101 and core network 103 establish a control plane interface 104 for UE 100. Second network element 102 and core network 103 can establish a user plane interface 105 for UE 100. Interface 106 (such as the Xn interface) connects the two network elements to each other. On the radio interface side, first network element and second network element (101 and 102) can use the same or different Radio Access Technology (RAT) to provide radio resources. Each network element can independently schedule transmissions with UE 100. Network elements that have a control plane connection to the core network are called primary nodes (such as the first network element 101), and network elements that only have a user plane connection to the core network are called secondary nodes (such as the second network element 102). In some cases, UE 100 may be connected to more than two nodes, with one node acting as the primary node and the others as secondary nodes.

[0067] Figure 6 A block diagram of an exemplary wireless communication system 10 according to some embodiments of the present disclosure is shown. System 10 can perform the methods / steps disclosed in this disclosure and combinations thereof. System 10 may include components and elements configured to support the operation of features that do not need to be described in detail herein.

[0068] System 10 may include a base station (BS) 110 and a user equipment (UE) 120. BS 110 includes a BS transceiver or transceiver module 112, a BS antenna system 116, a BS memory or memory module 114, a BS processor or processor module 113, and a network interface 111. The components of BS 110 can be electrically coupled to each other and communicate as needed via a data communication bus 180. Similarly, UE 120 includes a UE transceiver or transceiver module 122, a UE antenna system 126, a UE memory or memory module 124, a UE processor or processor module 123, and an I / O interface 121. The components of UE 120 can be electrically coupled to each other and communicate as needed via a data communication bus 190. BS 110 communicates with UE 120 via a communication channel, which may be any wireless channel or other existing medium suitable for transmitting the data described herein. These channels may include carriers of PCell (Primary Cell) and SCell (Secondary Cell).

[0069] Processor modules 113 and 123 can be implemented using general-purpose processors, content-addressable memory, digital signal processors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), any suitable programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination thereof, to perform the functions described herein. Thus, the processor modules can be implemented as microprocessors, controllers, microcontrollers, or state machines, etc. Processor modules can also be implemented as combinations of computing devices, such as combinations of digital signal processors and microprocessors, combinations of multiple microprocessors, combinations of one or more microprocessors with digital signal processor cores, or any other such configuration.

[0070] Furthermore, the steps of the methods or algorithms described in connection with the embodiments herein can be implemented directly in hardware, firmware, software modules executed by processor modules 113 and 123 respectively, or any actual combination thereof. Memory modules 113 and 123 can be implemented as RAM memory, flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory) memory, registers, ROM memory, EPROM memory, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. In this regard, memory modules 114 and 124 can be coupled to processor modules 113 and 123 respectively, such that processor modules 113 and 123 can read information from and write information to memory modules 114 and 124 respectively. Memory modules 114 and 124 can also be integrated into their respective processor modules 113 and 123. In some embodiments, memory modules 114 and 124 may each include cache memory for storing temporary variables or other intermediate information during the execution of instructions to be executed by processor modules 113 and 123, respectively. Memory modules 114 and 124 may also each include non-volatile memory for storing instructions to be executed by processor modules 113 and 123, respectively.

[0071] According to some embodiments of this disclosure, a wireless communication method is disclosed. The method includes: receiving at least one reference signal for channel evaluation; and reporting channel state information, the channel state information including at least one of beam quality information and / or resource indicator, the resource indicator being used to indicate whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used for measurement to estimate a wireless communication channel based on the second resource set.

[0072] According to some embodiments, the resource indicator includes a bit width sufficient to map to resources in the first resource set and the second resource set.

[0073] According to some embodiments, the first resource set includes N resources, the second resource set includes M resources, and the bit width of the resource indicator is associated with a base-2 logarithm of (M+N).

[0074] According to some embodiments, the resource indicator is mapped to resources in the first resource set or the second resource set based on a predefined relationship between the first network node and the second network node.

[0075] According to some embodiments, resource indicator k corresponds to the (k+1)th associated resource in the first resource set; and resource indicator k corresponds to the (k-N+1)th associated resource in the second resource set, 0≤k≤N-1, N≤k≤M+N-1; or resource indicator k corresponds to the (k+1)th associated resource in the second resource set, and resource indicator k corresponds to the (k-M+1)th associated resource configured in the first resource set, 0≤k≤M-1, M≤k≤M+N-1.

[0076] According to some embodiments, the resource indicator includes a first field and a second field, wherein the first field indicates whether the second field is for the first resource set or the second resource set.

[0077] According to some embodiments, the bit width of the second field remains the same regardless of whether the second field is for the first resource set or the second resource set. The bit width of the second field corresponds to the base-2 logarithm of the number of resources in the first resource set or the second resource set, which is the number of resources in the resource set with more resources in the first resource set or the second resource set.

[0078] According to some embodiments, the bit width of the second field depends on the value of the first field.

[0079] According to some embodiments, the first resource set includes N resources, and the second resource set includes M resources, wherein when the second field is for the first resource set, the bit width of the second field is associated with the base-2 logarithm of N; or, when the second field is for the second resource set, the bit width of the second field is associated with the base-2 logarithm of M.

[0080] According to some embodiments, when the second field is for a resource set with fewer resources than the first resource set and the second resource set, the bits of the second field include dummy bits.

[0081] According to some embodiments, the method further includes: quantizing the beam quality information corresponding to the first resource set using a quantization method that is different from the quantization method used to quantize the beam quality information corresponding to the second resource set.

[0082] According to some embodiments, in response to a failure event, the beam quality information includes a predefined value indicating the failure event.

[0083] According to some embodiments, the predefined value is one of 0, 100, 100%, 100 / K, or 1 / K, where K is the number of reported resource indicators.

[0084] According to some embodiments, the beam quality information includes processed measured values, which include at least one of the following: measured L1-RSRP, the difference between the measured L1-RSRP and a reference L1-RSRP, measured L1-SINR, and the difference between the measured L1-SINR and a reference L1-SINR.

[0085] According to some embodiments, the method further includes obtaining the value of the processed measurement through normalization or value mapping.

[0086] According to some embodiments, the value of the processed measurement includes at least one of confidence level or probability value.

[0087] According to some embodiments, the beam quality information includes measured values, which include at least one of the following: measured L1-RSRP, the difference between the measured L1-RSRP and a reference L1-RSRP, measured L1-SINR, and the difference between the measured L1-SINR and a reference L1-SINR.

[0088] According to some embodiments, the method further includes: reporting a reporting quantity indicator that indicates whether the beam quality information is a measured value or a processed measured value.

[0089] According to some embodiments, the channel state information includes multiple resource indicators, which are sorted in ascending or descending order according to the corresponding beam quality information of each resource indicator.

[0090] According to some embodiments, the channel state information includes multiple resource indicators, wherein, in the mapping order of the channel state information fields, the resource indicator corresponding to the beam quality information with the maximum value is placed first.

[0091] According to some embodiments, the method further includes: receiving an abnormal status indicator via a MAC layer; counting the number of abnormal status indicators using a counter; starting or restarting a timer in response to receiving an abnormal status indicator; resetting the counter when the timer times out; and reporting a failure event when the counter reaches a threshold.

[0092] According to some embodiments, the abnormal state indicator is received in response to a failure of channel state information to meet requirements or when the resource indicator is received for the first resource set.

[0093] According to some embodiments, the method further includes: obtaining a plurality of compatible configuration sets for channel evaluation; evaluating the performance of the current configuration set for channel evaluation; identifying a new configuration set in response to a failure event based on the evaluation of a selected configuration set from the plurality of compatible configuration sets; and reporting information including at least one of the following: an index of the failed configuration set for channel evaluation, an indication of the existence of the identified new configuration set, or an index of the identified new configuration set.

[0094] According to some embodiments, the method further includes: obtaining information on a plurality of compatible configuration sets for channel evaluation. The information includes: a first indicator indicating the plurality of compatible configuration sets based on reference signal resources compatible with each configuration set; and a second indicator indicating one or more other characteristics of each configuration set; the method further includes: identifying a new configuration set for channel evaluation based on the first indicator.

[0095] According to some embodiments, the method further includes: providing information from a first network node to a second network node, the information indicating the capacity to handle the maximum number of simultaneous failure events of multiple configuration sets used for channel evaluation.

[0096] According to some embodiments, the method further includes: when there are sufficient resources for the uplink transmission, in response to the failure event, sending a recovery request to restore one or more configuration sets used for channel evaluation in the uplink transmission; or alternatively, in response to the failure event and when there are insufficient resources for the uplink transmission, sending a scheduling request to report the recovery request.

[0097] According to some embodiments, the method further includes receiving information from a second network node, wherein the information indicates whether a reference signal in a set of reference signals used for channel evaluation is transmittable.

[0098] According to some embodiments, the information includes a bitmap with multiple bits, each bit corresponding to a reference signal, and the value of each bit indicating whether the corresponding reference signal can be transmitted by the second network node.

[0099] According to some embodiments, the method further includes: avoiding the use of a set of configurations for channel evaluation, the avoided set of configurations corresponding to a reference signal that cannot be transmitted.

[0100] According to some embodiments of this disclosure, another wireless communication method is disclosed. The method includes: transmitting at least one reference signal for channel evaluation; and receiving channel state information, the channel state information including at least one of beam quality information and / or a resource indicator, the resource indicator indicating whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used for measurement to estimate a wireless communication channel based on the second resource set.

[0101] According to some embodiments, the resource indicator includes a bit width sufficient to map to resources in the first resource set and the second resource set.

[0102] According to some embodiments, the first resource set includes N resources, the second resource set includes M resources, and the bit width of the resource indicator is associated with a base-2 logarithm of (M+N).

[0103] According to some embodiments, the resource indicator is mapped to resources in the first resource set or the second resource set based on a predefined relationship between the first network node and the second network node.

[0104] According to some embodiments, resource indicator k corresponds to the (k+1)th associated resource in the first resource set; and resource indicator k corresponds to the (k-N+1)th associated resource in the second resource set, 0≤k≤N-1, N≤k≤M+N-1; or resource indicator k corresponds to the (k+1)th associated resource in the second resource set, and resource indicator k corresponds to the (k-M+1)th associated resource configured in the first resource set, 0≤k≤M-1, M≤k≤M+N-1.

[0105] According to some embodiments, the resource indicator includes a first field and a second field, wherein the first field indicates whether the second field is for the first resource set or the second resource set.

[0106] According to some embodiments, the bit width of the second field remains the same regardless of whether the second field is for the first resource set or the second resource set. The bit width of the second field corresponds to the base-2 logarithm of the number of resources in the first resource set or the second resource set, which is the number of resources in the resource set with more resources in the first resource set or the second resource set.

[0107] According to some embodiments, the bit width of the second field depends on the value of the first field.

[0108] According to some embodiments, the first resource set includes N resources, and the second resource set includes M resources, wherein when the second field is for the first resource set, the bit width of the second field is associated with the base-2 logarithm of N; or, when the second field is for the second resource set, the bit width of the second field is associated with the base-2 logarithm of M.

[0109] According to some embodiments, the bit width of the second field remains the same regardless of whether the second field is for a first resource set or a second resource set, and the bit width of the second field corresponds to the base-2 logarithm of the number of resources in the first resource set or the second resource set, the number of resources being the number of resources in the resource set with more resources in the first resource set or the second resource set.

[0110] According to some embodiments, when the second field is for a resource set with fewer resources in the first resource set and the second resource set, the bits of the second field include dummy bits.

[0111] According to some embodiments, the beam quality information corresponding to the first resource set is quantized by a quantization method that differs from the quantization method used to quantize the beam quality information corresponding to the second resource set.

[0112] According to some embodiments, in response to a failure event, the beam quality information includes a predefined value indicating the failure event.

[0113] According to some embodiments, the predefined value is one of 0, 100, 100%, 100 / K, or 1 / K, where K is the number of reported resource indicators.

[0114] According to some embodiments, the beam quality information includes processed measured values, which include at least one of the following: measured L1-RSRP, the difference between the measured L1-RSRP and a reference L1-RSRP, measured L1-SINR, and the difference between the measured L1-SINR and a reference L1-SINR.

[0115] According to some embodiments, the method further includes receiving the measured quantity value after normalization or value mapping.

[0116] According to some embodiments, the value of the processed measurement includes at least one of confidence level or probability value.

[0117] According to some embodiments, the beam quality information includes measured values, which include at least one of the following: measured L1-RSRP, the difference between the measured L1-RSRP and a reference L1-RSRP, measured L1-SINR, and the difference between the measured L1-SINR and a reference L1-SINR.

[0118] According to some embodiments, the method further includes receiving a report quantity indicator that indicates whether the beam quality information is a measured value or a processed measured value.

[0119] According to some embodiments, the channel state information includes multiple resource indicators, which are sorted in ascending or descending order according to the corresponding beam quality information of each resource indicator.

[0120] According to some embodiments, the channel state information includes multiple resource indicators, wherein, in the mapping order of the channel state information fields, the resource indicator corresponding to the beam quality information with the maximum value is placed first.

[0121] According to some embodiments, the method further includes: receiving a failure event when a counter reaches a threshold, wherein the counter reaches the threshold by accumulating the number of exception status indicators before a timer expires, and the timer is started or restarted in response to a new exception status indicator.

[0122] According to some embodiments, the abnormal state indicator is generated in response to a failure of channel state prediction information to meet requirements or the resource indicator is generated for the first resource set.

[0123] According to some embodiments, the method further includes: providing a plurality of compatible configuration sets for channel evaluation, for evaluating the performance of the current configuration set for channel evaluation; and receiving information including at least one of the following: an index of a failed configuration set for channel evaluation, an indication of the existence of a newly identified configuration set, or an index of a newly identified configuration set, wherein the new configuration set is a configuration identified based on the evaluation of the plurality of compatible configuration sets in response to a failure event.

[0124] According to some embodiments, the method further includes: providing information on a plurality of compatible configuration sets for channel evaluation, wherein the information includes: a first indicator indicating the plurality of compatible configuration sets based on reference signal resources compatible with each configuration set; and a second indicator indicating one or more other characteristics of each configuration set.

[0125] According to some embodiments, the method further includes receiving information indicating the capacity to handle the maximum number of simultaneous failure events for a plurality of configuration sets used for channel evaluation.

[0126] According to some embodiments, the method further includes: when there are sufficient resources for the uplink transmission, receiving a recovery request in response to the failure event to recover one or more configuration sets used for channel evaluation in the uplink transmission; or alternatively, in response to the failure event and when there are insufficient resources for the uplink transmission, receiving a scheduling request to report the recovery request.

[0127] According to some embodiments, the method further includes: sending information, wherein the information indicates whether a reference signal in a set of reference signals used for channel evaluation is transmittable.

[0128] According to some embodiments, the information includes a bitmap with multiple bits, each bit corresponding to a reference signal, and the value of each bit indicating whether the corresponding reference signal can be transmitted by the second network node.

[0129] Various exemplary embodiments of this disclosure are described herein with reference to the accompanying drawings to enable those skilled in the art to make and use this disclosure. This disclosure is not limited to the exemplary embodiments and applications described and illustrated herein. Furthermore, the specific order and / or hierarchy of steps in the methods disclosed herein are merely exemplary embodiments. Based on design preferences, the specific order or hierarchy of steps in the disclosed methods or processes may be rearranged while remaining within the scope of this disclosure. Therefore, those skilled in the art will understand that the methods and techniques disclosed herein present various steps or actions in one or more exemplary orders, and unless otherwise expressly stated, this disclosure is not limited to the specific order or hierarchy presented.

[0130] This disclosure is intended to cover any readily conceivable variations, uses, combinations or adaptations of this disclosure that follow the basic principles of this disclosure and include common knowledge and conventional techniques in the art that are not disclosed in this application.

[0131] It should be understood that this disclosure is not limited to the precise structure or operation shown above and in the accompanying drawings, and various modifications and changes can be made without departing from the scope of this application. The scope of this application is limited only to the appended claims.

[0132] The methods, devices, processes, circuits, and logic described above can be implemented in various ways and using a variety of different combinations of hardware and software. For example, all or part of the implementations may be circuits including instruction processors or controllers, such as central processing units (CPUs), microcontrollers, or microprocessors; or as application-specific integrated circuits (ASICs), programmable logic devices (PLDs), or field-programmable gate arrays (FPGAs); or as circuits including discrete logic or other circuit components, including analog circuit components, digital circuit components, or both; or any combination thereof. The circuit may include discrete interconnect hardware components, or may be combined on a single integrated circuit chip, distributed across multiple integrated circuit chips, or implemented in a multiple chip module (MCM) of multiple integrated circuit chips in a common package.

[0133] Therefore, the circuit can store or access instructions to be executed, or implement its function solely through hardware. Instructions can be stored in a tangible storage medium as a non-transient signal, such as flash memory, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM); or stored on a disk or optical disk, such as a compact disc read-only memory (CDROM), a hard disk drive (HDD), or other disks or optical disks; or stored in or on other machine-readable media. A product (such as a computer program product) may include a storage medium and instructions stored in or on that medium, and when executed by circuitry in the device, the instructions may cause the device to perform any of the processes shown above or in the accompanying drawings.

[0134] Implementations can be distributed. For example, a circuit may include multiple different system components (such as multiple processors and memories) and may span multiple distributed processing systems. Parameters, databases, and other data structures may be stored and managed separately, integrated into a single memory or database, organized logically and physically in various ways, and implemented in various ways. Example implementations include linked lists, program variables, hash tables, arrays, records (such as database records), objects, and implicit storage mechanisms. Instructions may form parts of a single program (such as subroutines or other code segments), may form multiple independent programs, may be distributed across multiple memories and processors, and may be implemented in various ways. Example implementations include independent programs as part of a library (such as a shared library like a Dynamic Link Library (DLL)). For example, the library may contain shared data and one or more shared programs that include instructions that, when executed by the circuit, perform any of the processes shown above or in the accompanying figures.

[0135] In some embodiments, each unit, subunit, and / or module of the system may include a logic component. Each logic component may be hardware or a combination of hardware and software. For example, each logic component may include an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), digital logic circuitry, a combination of analog circuitry, discrete circuitry, gates, or any other type of hardware, or a combination thereof. Alternatively or additionally, each logic component may include memory hardware (such as a portion of memory) comprising instructions executable by a processor or other processor to implement one or more features of the logic component. When any logic component includes a portion of memory that includes instructions executable by a processor, the logic component may or may not include a processor. In some examples, each logic component may simply be a portion of memory or other physical memory that includes instructions executable by a processor or other processor to implement the features of the corresponding logic component, and that logic component may not include any other hardware. Because each logic component includes at least some hardware (even if the included hardware includes software), each logic component may be interchangeably referred to as a hardware logic component.

[0136] The second action can be described as "response to" the first action, regardless of whether the second action is directly or indirectly derived from the first action. The second action may occur much later than the first action and is still "response to" the first action. Similarly, even if an intermediate action occurs between the first and second actions, and even if one or more of these intermediate actions directly lead to the second action to be executed, the second action can be considered as response to the first action. For example, if the first action sets a flag, and a subsequent third action initiates the second action whenever the flag is set, the second action can be considered response to the first action.

[0137] To clarify usage and to explain to the public, the phrase " , ,……and <n>"at least one of" or " , ... <n>"or at least one of the combinations thereof" or " , ... and / or <n> The phrase “” is defined in its broadest sense by the applicant, and unless the applicant expressly states otherwise, any other implied definition in the context is included, meaning: one or more elements selected from the group including A, B, ... and N. In other words, the phrase represents any combination of one or more of elements A, B, ... or N, including any single element or a combination of an element with one or more other elements, and may also include additional elements not listed.< / n> < / n> < / n>

Claims

1. A wireless communication method, comprising: Receive at least one reference signal for channel evaluation; as well as The channel state information is reported, which includes at least one of beam quality information and / or resource indicators, wherein the resource indicators are used to indicate whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used to measure and estimate the wireless communication channel based on the second resource set.

2. The method according to claim 1, wherein, The resource indicator includes a bit width sufficient to map to resources in the first resource set and the second resource set.

3. The method according to claim 2, wherein, The first resource set includes N resources, the second resource set includes M resources, and the bit width of the resource indicator is associated with the base-2 logarithm of (M+N).

4. The method according to claim 3, wherein, The resource indicator is mapped to a resource in the first resource set or the second resource set according to a predefined relationship between the first network node and the second network node.

5. The method according to claim 4, wherein: Resource indicator k corresponds to the (k+1)th associated resource in the first resource set; and resource indicator k corresponds to the (k-N+1)th associated resource in the second resource set, 0≤k≤N-1, N≤k≤M+N-1; or Resource indicator k corresponds to the (k+1)th associated resource in the second resource set, and resource indicator k corresponds to the (k-M+1)th associated resource configured in the first resource set, 0 ≤ k ≤ M-1, M ≤ k ≤ M+N-1.

6. The method according to claim 1, wherein, The resource indicator includes a first field and a second field, wherein the first field indicates whether the second field is for the first resource set or the second resource set.

7. The method according to claim 6, wherein, Regardless of whether the second field is for the first resource set or the second resource set, the bit width of the second field remains the same. The bit width of the second field corresponds to the base-2 logarithm of the number of resources in the first resource set or the second resource set, where the number of resources is the number of resources in the resource set with more resources than in the first resource set or the second resource set.

8. The method according to claim 6, wherein, The bit width of the second field depends on the value of the first field.

9. The method according to claim 8, wherein, The first resource set includes N resources, and the second resource set includes M resources. When the second field is for the first resource set, the bit width of the second field is associated with the base-2 logarithm of N; or, when the second field is for the second resource set, the bit width of the second field is associated with the base-2 logarithm of M.

10. The method according to claim 9, wherein, When the second field is for a resource set that has fewer resources than the first resource set and the second resource set, the bits in the second field include dummy bits.

11. The method of claim 9, further comprising: The beam quality information corresponding to the first resource set is quantized using a quantization method that differs from the quantization method used to quantize the beam quality information corresponding to the second resource set.

12. The method according to claim 1, wherein, In response to a failure event, the beam quality information includes a predefined value indicating the failure event.

13. The method according to claim 12, wherein, The predefined value is one of 0, 100, 100%, 100 / K, or 1 / K, where K is the number of reported resource indicators.

14. The method according to claim 1, wherein, The beam quality information includes processed measured values, which include at least one of the following: measured L1-RSRP, the difference between measured L1-RSRP and reference L1-RSRP, measured L1-SINR, and the difference between measured L1-SINR and reference L1-SINR.

15. The method of claim 14, further comprising: The processed measurement value is obtained through normalization or value mapping.

16. The method of claim 14, wherein, The processed measurement value includes at least one of confidence level or probability value.

17. The method according to claim 1, further comprising: Receive abnormal status indicators through the MAC layer; Use a counter to count the number of the abnormal status indicators; In response to receiving an abnormal status indicator, start or restart the timer; When the timer times out, the counter is reset; as well as A failure event is reported when the counter reaches a threshold.

18. The method according to claim 17, wherein, The abnormal state indicator is received in response to a failure of channel state information to meet requirements or when the resource indicator is received for the first resource set.

19. The method according to claim 1, further comprising: Obtain a set of multiple compatible configurations for channel evaluation; Evaluate the performance of the current set of configurations used for channel evaluation; Based on the evaluation of the multiple compatible configuration sets, a new configuration set is identified in response to a failure event; as well as The report information includes at least one of the following: an index of the failed configuration set used for channel evaluation, an indication of the existence of the identified new configuration set, or an index of the identified new configuration set.

20. A wireless communication method, comprising: Send at least one reference signal for channel evaluation; as well as Receive channel state information, the channel state information including at least one of beam quality information and / or resource indicator, the resource indicator being used to indicate whether the channel state information is for a first resource set and / or a second resource set, wherein the first resource set is used to measure to estimate the wireless communication channel based on the second resource set.

21. The method according to claim 20, wherein, The resource indicator includes a bit width sufficient to map to resources in the first resource set and the second resource set.

22. The method according to claim 21, wherein, The first resource set includes N resources, the second resource set includes M resources, and the bit width of the resource indicator is associated with the base-2 logarithm of (M+N).

23. The method according to claim 22, wherein, The resource indicator is mapped to a resource in the first resource set or the second resource set according to a predefined relationship between the first network node and the second network node.

24. The method of claim 23, wherein: Resource indicator k corresponds to the (k+1)th associated resource in the first resource set; and resource indicator k corresponds to the (k-N+1)th associated resource in the second resource set, 0≤k≤N-1, N≤k≤M+N-1; or Resource indicator k corresponds to the (k+1)th associated resource in the second resource set, and resource indicator k corresponds to the (k-M+1)th associated resource configured in the first resource set, 0 ≤ k ≤ M-1, M ≤ k ≤ M+N-1.

25. The method according to claim 20, wherein, The resource indicator includes a first field and a second field, wherein the first field indicates whether the second field is for the first resource set or the second resource set.

26. The method of claim 25, wherein, Regardless of whether the second field is for the first resource set or the second resource set, the bit width of the second field remains the same. The bit width of the second field corresponds to the base-2 logarithm of the number of resources in the first resource set or the second resource set, where the number of resources is the number of resources in the resource set with more resources than in the first resource set or the second resource set.

27. The method according to claim 25, wherein, The bit width of the second field depends on the value of the first field.

28. The method according to claim 27, wherein, The first resource set includes N resources, and the second resource set includes M resources. When the second field is for the first resource set, the bit width of the second field is associated with the base-2 logarithm of N; or, when the second field is for the second resource set, the bit width of the second field is associated with the base-2 logarithm of M.

29. The method according to claim 28, wherein, When the second field is for a resource set with fewer resources in the first resource set and the second resource set, the bits in the second field include dummy bits.

30. The method according to claim 28, wherein, The beam quality information corresponding to the first resource set is quantized by a quantization method that is different from the quantization method used to quantize the beam quality information corresponding to the second resource set.

31. The method according to claim 20, wherein, In response to a failure event, the beam quality information includes a predefined value indicating the failure event.

32. The method according to claim 31, wherein, The predefined value is one of 0, 100, 100%, 100 / K, or 1 / K, where K is the number of reported resource indicators.

33. The method according to claim 20, wherein, The beam quality information includes processed measured values, which include at least one of the following: measured L1-RSRP, the difference between measured L1-RSRP and reference L1-RSRP, measured L1-SINR, and the difference between measured L1-SINR and reference L1-SINR.

34. The method according to claim 33, further comprising: Receive the measured value after normalization or value mapping.

35. The method according to claim 33, wherein, The processed measurement value includes at least one of confidence level or probability value.

36. The method of claim 20, further comprising: When a counter reaches a threshold, a failure event is received, wherein the counter reaches the threshold by accumulating the number of exception status indicators before the timer expires, and the timer is started or restarted in response to a new exception status indicator.

37. The method of claim 36, wherein, The abnormal state indicator is generated in response to the channel state information not meeting the requirements or the resource indicator being generated for the first resource set.

38. The method of claim 20, further comprising: Provides multiple compatible configuration sets for channel evaluation, and evaluates the performance of the current configuration set used for channel evaluation; as well as Receive information, the information including at least one of the following: an index of a failed configuration set for channel evaluation, an indication of the existence of a new configuration set identified, or an index of a new configuration set identified, wherein the new configuration set is a configuration identified in response to a failure event based on the evaluation of the plurality of compatible configuration sets.

39. A wireless communication device, comprising: One or more storage units and one or more processors, the one or more storage units storing one or more programs, the one or more processors being electrically coupled to the one or more storage units and configured to run the one or more programs to perform the method or a combination thereof according to any one of claims 1 to 38.

40. A non-transitory computer-readable storage medium storing one or more programs configured to, when run by at least one processor, perform the method or combination thereof according to any one of claims 1 to 38.

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