Signaling apparatus, network node and method for measuring and generating channel state information report

Abstract

A signal transmission apparatus for generating a statistical channel state information (CSI) report for beam reporting, for selecting a subset of configured reference signal (RS) resources and for performing a quality measurement on the subset of the RS resources, and for generating a statistical channel state information (CSI) report for beam reporting. Furthermore, the signal transmission device is configured to determine a signal quality of each measurement RS resource and determine statistical information of the determined signal quality. And the signal transmitting device predicts future signal quality according to the statistical information of the determined signal quality, and generates the statistical CSI report according to the statistical information of the determined signal quality. Further, the signaling apparatus transmits the statistical CSI report to a network node and, in response thereto, receives an indication of one or more beams. The indicated beam is selected according to at least the statistical CSI report in a dynamic beam reporting format to direct beam prediction and beam management.

Description

Technical Field

[0001] The present invention generally relates to the field of wireless communication systems, and more particularly to a signaling apparatus and method for generating a channel state information (CSI) report. In addition, the present invention specifically relates to a network node and method for managing CSI measurement and reporting. Background Art

[0002] Each generation of RAN is characterized by a leap in performance, which is usually achieved through multiple technological innovations. This applies to fifth generation (5G) new radio (NR) RAN technologies, which will make extensive use of machine learning at different levels. Supporting ML operations in RANs typically includes enhancements in data collection, ML lifecycle management, required signaling, and protocol updates. However, in order to realize the full potential of ML methods in RANs, standard support is required using a suitable signaling framework.

[0003] It is not easy to enhance the radio access network at the lower layers of the network (e.g., Layer 1, Layer 2, Layer 3) to enable efficient support for machine learning operations, as the requirements for optimized machine learning operations are not fully consistent with the requirements for other new air interface functions. Therefore, the coordination between different components or functions needs to be carefully designed, taking into account hardware constraints related to the capabilities of client devices and / or network nodes, propagation conditions, different mobility scenarios, and business type key performance indicators. Another key design aspect lies in the level of support and collaboration between different network nodes and different client devices in machine learning operations such as data collection and preparation, model building, training and deployment, and model lifecycle management.

[0004] In some scenarios, beamforming combined with multiple antennas for signal transmission and reception is crucial, especially when the radio access network operates in the high frequency range. Therefore, the beam management process becomes crucial. In fact, the goal of beam management is to select the best transmit and receive beams (i.e., beamforming weights) for each transmitted signal, and includes beam selection on the network node side, beam selection on the client device side, beam monitoring, and fault recovery. Beam management methods need to achieve an optimized trade-off between accuracy, overhead, computational load, and latency. On the one hand, narrow beams can expand coverage, but require increased measurement and reporting loads. On the other hand, wide beams can reduce the required measurements, but the reachable distance is shorter, which is not good for client devices located at the edge of the cell. In addition, considering the mobility of the client device, the optimal beam may change over time, which further increases the need for radio resource measurements for beam tracking. Therefore, there is a technical problem of how to achieve accurate beam management in the new air interface while reducing complexity and reducing the overhead of beam reporting.

[0005] Therefore, in view of the above discussion, it is necessary to overcome the above-mentioned shortcomings related to beam management of traditional wireless access networks. Summary of the invention

[0006] The present invention provides a signal sending device and a corresponding method for generating a channel state information (CSI) report. In addition, the present invention also provides a network node and a corresponding method for managing CSI measurement and reporting. The present invention provides a solution to the existing problems in beam management of traditional wireless access networks. The purpose of the present invention is to provide a solution that can at least partially solve the problems encountered in the prior art, and to provide an improved signal sending device and an improved method for generating a channel state information (CSI) report. The present invention also provides an improved network node and an improved method for managing CSI measurements in a dynamic beam reporting format.

[0007] One or more objects of the invention are achieved by what is presented in the attached independent claims. Advantageous implementations of the invention are further defined in the dependent claims.

[0008] In one aspect, the present invention provides a signal sending device for generating a statistical channel state information (CSI) report for beam reporting. The signal sending device is also used to select a subset of configured reference signal (RS) resources and perform quality measurement on the subset of RS resources. In addition, the signal sending device determines the signal quality of each measured RS resource and determines statistical information of the determined signal quality. The signal sending device is used to predict future signal quality based on the statistical information of the determined signal quality and generate the statistical CSI report based on the statistical information of the determined signal quality. In addition, the signal sending device is used to send the statistical CSI report to a network node and, in response thereto, receive an indication of one or more beams. The indicated beam is selected based at least on the statistical CSI report.

[0009] The signal sending device is used to generate a statistical CSI report in a dynamic beam reporting format to provide guidance for beam prediction. The signal sending device performs beam management in the new radio (NR), especially in the higher frequency range. The signal sending device is used to determine the statistical information of the signal quality, and the statistical information of the signal quality is used to provide guidance to the network node for beam prediction while reducing the prediction error. In addition, the signal sending device is used to utilize the prediction capabilities of the network node to efficiently support more reported beams, reduce the overhead of the beam reporting format, and minimize information loss. Therefore, the signal sending device monitors the beam model performance, thereby detecting the offset between the beam prediction and the measurement data and thus detecting the need to update the beam prediction model.

[0010] In another implementation, the signal sending device is further configured to determine the statistical information based on a time series of measurement quality, wherein the statistical information is determined based on one or more measurement instances. The number of measurements included in the time series of measurement quality may be configured by the network or selected autonomously by the signal sending device and indicated to the network node.

[0011] The one or more fields (L) include statistical information of the determined signal quality, and the statistical information is used to provide a beam prediction instance indicated for a beam reporting request prediction range.

[0012] In another implementation, the indicator is used for more than one measurement RS resource.

[0013] The indicator is used to point to the measurement RS resource which is also used to determine the signal quality.

[0014] In another implementation, the signal quality is determined based on reference signal received power (RSRP).

[0015] In another implementation, the signal quality is determined according to a signal to interference and noise ratio (SINR).

[0016] By determining the signal quality based on RSRP and SINR, the signal transmitting device can determine the signal strength.

[0017] In another implementation, the determined statistical information of the signal quality includes a mean value and a standard deviation of the signal quality.

[0018] The mean value and the standard deviation of the signal quality provide statistical information of the determined signal quality and may be used to determine a range of signal quality prediction values.

[0019] In another implementation, the determined statistical information of the signal quality includes a minimum value.

[0020] In this implementation, the minimum value of the signal quality is used to determine the lower limit of the signal quality prediction value.

[0021] In another implementation, the statistical information of the determined signal quality includes quantile values.

[0022] In this implementation, the quantile value is used to determine statistical information of the signal quality prediction value.

[0023] In another implementation, the signal quality value indicates a range of predicted signal quality values ​​for one or more time periods.

[0024] The range of signal quality prediction values ​​(i.e., the prediction of the statistical information of the determined signal quality) is used to avoid or at least reduce beam reporting overhead, while providing information for optimizing network beam prediction for multiple prediction time instances.

[0025] In another implementation, the signal sending device is further used to select the subset of the configured reference signal (RS) resources based on RSRP variance or SINR variance, RSRP or SINR autocorrelation over a period of time, measured Doppler frequency shift or phase noise.

[0026] In this implementation, a subset of the configured RS resources is used to determine signal quality, which is also used to reduce error prediction and improve beam prediction robustness.

[0027] In another implementation, the signal sending device is also used to receive an indication of reporting format switching from a network node, and determine the new reporting format based on the received switching command and RRC configuration, and in response, generate the statistical CSI report according to the determined new format.

[0028] The reporting format switch indication is used to provide an indication of switching from traditional beam reporting to inference / monitoring beam reporting.

[0029] In another implementation, the signal sending device is further used to determine a reporting format switching time, and send a beam reporting format switching request to the network node at the determined time.

[0030] In this implementation, the signal sending device selects the reporting format switching time (i.e., the expected switching time) of the beam reporting format according to the report switching time. Then, the signal sending device switches the beam reporting format autonomously or according to the network instruction according to the explicit standard of the signal sending device or the network configuration standard of the network.

[0031] In another aspect, the present invention provides a network node for managing CSI measurement and reporting. The network node is used to configure a statistical CSI reporting configuration for the signal sending device. In addition, the network node is used to receive a statistical CSI report from the signal sending device and send an indication of a report format switch to the signal sending device. In addition, the network node receives the statistical CSI report and determines an updated beam based on the statistical CSI report. In addition, the network node sends a beam indication to the signal sending device. The beam indication can be sent as a transmission status indicator of a downlink and / or uplink channel. Alternatively, the beam can be indicated using a reference signal resource indicator.

[0032] The network node using dynamic beam reporting format is used to manage and report beams for the new air interface, especially in the higher frequency range where beamforming is critical to ensure coverage, by dynamically switching between inference (or monitoring) formats and other formats with reduced beam scanning overhead and reduced latency. The network node is used to reduce the beam reporting overhead while minimizing information loss by leveraging the prediction capabilities of the network. The network node is used to monitor the performance of the beam prediction model and identify the appropriate time to update and / or switch the beam prediction model to avoid high prediction errors, thereby improving robustness.

[0033] On the other hand, the present invention provides a method for a signal sending device, the signal sending device is used to generate a statistical channel state information (CSI) report for beam reporting. The method includes: selecting a subset of configured reference signal (RS) resources and performing quality measurement on the subset of the RS resources. In addition, the method includes: determining the signal quality of each measured RS resource and determining statistical information of the determined signal quality. The method also includes: predicting future signal quality based on the statistical information of the determined signal quality, and generating the statistical CSI report based on the statistical information of the determined signal quality. In addition, the method includes: sending the statistical CSI report to the network node, and in response thereto, receiving an indication in one or more beam indications, and the indicated beam is selected based on at least the statistical CSI report.

[0034] The method realizes all the advantages and technical effects of the signal sending device of the present invention.

[0035] In another aspect, the present invention provides a method for a network node, the network node being used to manage CSI measurement and reporting. The method includes: configuring a statistical CSI reporting configuration for the signal sending device, and receiving a CSI report from the signal sending device. In addition, the method includes: sending an indication of a report format switch to the signal sending device, and receiving a statistical CSI report. In addition, the method includes: determining an updated beam based on the statistical CSI report, and sending the beam indication to the signal sending device.

[0036] The method achieves all the advantages and technical effects of the network node of the present invention.

[0037] It should be understood that all the aforementioned implementations can be combined together.

[0038] It should be noted that all devices, elements, circuits, units and devices described in this application can be implemented in software or hardware elements or any type of combination thereof. All steps performed by various entities described in this application and the functions to be performed by various entities described are intended to refer to the corresponding entities for performing the corresponding steps and functions. Although in the description of the following specific embodiments, the specific functions or steps to be performed by the external entity are not reflected in the description of the specific detailed elements of the entity performing the specific steps or functions, it should be clear to the technician that these methods and functions can be implemented by corresponding software or hardware elements or any combination thereof. It should be understood that the features of the present invention are easy to be combined in various combinations without departing from the scope of the present invention defined by the appended claims.

[0039] Other aspects, advantages, features and objects of the present invention will become apparent from the accompanying drawings and detailed description of illustrative implementations interpreted in conjunction with the following appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above summary of the invention and the following detailed description of illustrative embodiments may be better understood when read in conjunction with the accompanying drawings. In order to illustrate the present invention, exemplary structures of the present invention are shown in the accompanying drawings. However, the present invention is not limited to the specific methods and tools disclosed herein. In addition, it should be understood by those skilled in the art that the accompanying drawings are not drawn to scale. Where possible, similar elements are represented by the same numerals.

[0041] Embodiments of the present invention are described below by way of example only with reference to the following drawings, in which:

[0042] Figure 1A is a network diagram of a wireless communication system according to an embodiment of the present invention;

[0043] Figure 1B is a block diagram of a signal sending device according to an embodiment of the present invention;

[0044] Figure 1C is a block diagram of a network node for managing channel state information (CSI) measurement and reporting according to an embodiment of the present invention;

[0045] Figure 2 is a schematic diagram of switching between full channel state information reporting and reasoning input reporting according to an embodiment of the present invention;

[0046] Figure 3A is a sequence diagram of a signaling process of reporting in an inference or monitoring format initiated by a network node according to an embodiment of the present invention;

[0047] Figure 3B is a sequence diagram of a signaling process of reporting in an inference / monitoring format initiated by a client device according to an embodiment of the present invention;

[0048] Figure 3C is a sequence diagram of a signaling process reported in an inference / monitoring format suggested by a client device according to an embodiment of the present invention;

[0049] Figure 4 is a flow chart of a method for a signal transmitting apparatus according to another embodiment of the present invention, wherein the signal transmitting apparatus is used to generate a channel state information (CSI) report for beam reporting;

[0050] Figure 5 is a flow chart of a method for a network node according to another embodiment of the present invention, wherein the network node is used to manage CSI measurement and reporting.

[0051] In the drawings, underlined numbers are used to indicate the item in which the underlined number is located or an item adjacent to the underlined number. Non-underlined numbers are associated with the item identified by the line that associates the non-underlined number with the item. When a number is not underlined and has an associated arrow, the non-underlined number is used to identify the general item that the arrow points to. DETAILED DESCRIPTION

[0052] The following detailed description describes embodiments of the invention and ways in which these embodiments may be implemented. Although some modes of implementing the invention have been disclosed, those skilled in the art will recognize that there may be other embodiments for implementing or practicing the invention.

[0053] Figure 1A is a network diagram of a wireless communication system according to an embodiment of the present invention; Figure 1A , shows a network schematic diagram of a wireless communication system 100A, where the wireless communication system 100A includes a signal transmission device 102, a propagation environment 106, and a network node 108. In addition, the signal transmission device 102 includes a statistical channel state information (CSI) report 104.

[0054] The wireless communication system 100A includes a signal transmission device 102, a propagation environment 106, and a network node 108. The signal transmission device 102 is used to generate a statistical CSI report 104 for beam reporting for beam management. Examples of the signal transmission device 102 may include, but are not limited to: a transmitter, a transmitter, a transceiver, an encoder, a user terminal of a cellular network, custom hardware for wireless remote communication, or any other portable or non-portable electronic device, client device, user equipment, etc. In addition, the network node 108 is used to manage CSI measurement and reporting. Examples of the network node 108 may include, but are not limited to: a receiver, a decoder, a transceiver, a base station or an access point in a cellular network, etc.

[0055] The propagation environment 106 includes a medium (e.g., a communication channel) through which one or more transmitting devices (e.g., a signal transmitting device 102) potentially communicate with a network node 108. The network node may belong to a wider network. Examples of networks may include, but are not limited to, cellular networks, wireless sensor networks (WSN), cloud networks, local area networks (LAN), vehicle-to-network (V2N) networks, metropolitan area networks (MAN), etc.

[0056] During operation, the signal transmission device 102 is used to generate a statistical CSI report 104 for beam reporting for beam management, such as penetration beam prediction. For one or more prediction time instances, the statistical CSI report 104 includes one or more fields (N), one or more fields (M), and one or more fields (L), wherein the one or more fields (N) include an indicator of each measured reference signal (RS) resource or resource subset, the one or more fields (M) include the measured signal quality, and the one or more fields (L) include statistical information of the determined signal quality. The signal transmission device 102 is used to select a subset of configured RS resources and perform signal quality measurements on the subset of RS resources. In addition, the signal transmission device 102 is used to determine the signal quality of each measured RS resource and the statistical information of the determined signal quality. In addition, the signal transmission device 102 is used to predict future signal quality or quality statistics based on the statistical information of the determined signal quality and generate a statistical CSI report 104. Then, the signal transmission device 102 is used to send the statistical CSI report 104 to the network node 108 and receive an indication of one or more beams. Furthermore, the indicated beam is selected based at least on the statistical CSI report 104 .

[0057] The network node 108 is used to manage CSI measurement and reporting. The network node 108 is used to configure the CSI reporting configuration for the signal sending device 102, including the statistical CSI reporting configuration. In addition, the network node 108 is used to receive the statistical CSI report from the signal sending device 102 and send an indication of the report format switching to the signal sending device 102. In addition, the network node 108 is used to receive the statistical CSI report 104 and determine the updated beam according to the statistical CSI report 104. Finally, the network node 108 is used to send a beam indication to the signal sending device 102.

[0058] Figure 1B is a block diagram of a signal sending device according to different embodiments of the present invention. Figure 1B , shows a block diagram 100B of a signal sending device 102 , which includes a first communication interface 112 , a first memory 114 , and a first controller 110 .

[0059] The first communication interface 112 is used by the signal sending device 102 to communicate with the network node 108. Examples of implementing the first communication interface 112 may include, but are not limited to: a network interface, a computer port, a network socket, a network interface controller (NIC), and any other network interface device.

[0060] The first controller 110 is used to generate a statistical channel state information (CSI) report 104. Examples of implementing the first controller 110 may include, but are not limited to: a central data processing device, a microprocessor, a microcontroller, a complex instruction set computing (CISC) processor, an application-specific integrated circuit (ASIC) processor, a reduced instruction set (RISC) processor, a very long instruction word (VLIW) processor, a state machine, and other processors or control circuits.

[0061] The first memory 114 is used to store the statistical CSI report 104. Examples of implementing the first memory 114 may include, but are not limited to: Electrically Erasable Programmable Read-Only Memory (EEPROM), Dynamic Random Access Memory (DRAM), Random Access Memory (RAM), Read-Only Memory (ROM), Hard Disk Drive (HDD), Flash memory, Secure Digital (SD) card, Solid-State Drive (SSD), and / or CPU cache memory.

[0062] The signal sending device 102 is used to generate a statistical CSI report 104 for beam reporting. The beam reporting is used for beam management in the new radio (NR), especially in the higher frequency range. In one implementation, the statistical CSI report 104 provides a framework for beam reporting to provide beam prediction guidance at the network node 108.

[0063] According to one embodiment, the statistical CSI report 104 includes one or more fields (N), and the one or more fields (N) include an indicator of each measurement reference signal (RS) resource. In addition, the indicator is a CSI-RS resource indicator (CSI-RSresource indicator, CRI) or an SS / PBCH resource block indicator (SS / PBCH resource blockindicator, SSBRI). First, the signal sending device 102 is used to point to each measurement RS resource identified using CRI. Then, the signal sending device 102 is used to generate a statistical CSI report 104. In one implementation, the indicator is called CRI. In another implementation, the indicator is called SSBRI. According to one embodiment, the indicator is used for more than one measurement reference signal (RS) resource. The indicator is used to point to a measurement RS resource that is also used to determine signal quality. In addition, the statistical CSI report 104 includes one or more fields (M), one or more fields (L), the one or more fields (M) include the measured signal quality, the one or more fields (L) include statistical information of the determined signal quality, and each prediction time instance corresponds to one field. In one implementation, one or more fields (M) included in the statistical CSI report 104 provide a reference signal received power (RSRP) value. In another implementation, one or more fields (L) correspond to the number of beam prediction instances indicated for the beam reporting request prediction range. In addition, the overhead of the inference beam report for beam prediction model input can be dynamically adjusted by selecting a specific combination of parameters from a preconfigured combination set, such as selecting a specific combination of parameters from one or more fields (N), one or more fields (M), or one or more fields (L). In one implementation, the overhead of the inference beam report for beam prediction model input can be dynamically adjusted. In another implementation, for a given parameter set (N, M, L), the mapping of the CSI fields used for beam reporting is shown in Table 1 below.

[0064] Table 1

[0065]

[0066] The signal sending device 102 is used to select a subset of configured RS resources. In one implementation, the signal sending device 102 is used to select a subset from the configured CMR / IMR to calculate the beam inference input. In addition, the signal sending device 102 can select RS resources according to local learning criteria, such as resources with the highest RSRP and signal-to-interference-plus-noise ratio (SINR) variance. According to one embodiment, the RS resources are channel measurement resources. Channel measurement resources correspond to measurement resources that provide information about the channel (e.g., propagation environment 106) through which the signal is transmitted. According to another embodiment, the RS resources are interference measurement resources. In one implementation, the signal sending device 102 is used to select a subset of interference measurement resources required to determine signal quality for beam management. According to one embodiment, the signal sending device 102 is used to select a subset of configured RS resources based on RSRP variance or SINR variance or RSRP or SINR autocorrelation over a period of time. In one implementation, the signal transmission device 102 is used to select a subset of configured RS resources based on RSRP variance. In another implementation, the signal transmission device 102 is used to select a subset of configured RS resources based on SINR variance. In yet another implementation, the signal transmission device 102 is used to select a subset of configured RS resources based on RSRP autocorrelation over a period of time. In another implementation, the signal transmission device 102 is used to select a subset of configured RS resources based on SINR autocorrelation over a period of time. Therefore, the signal transmission device 102 is used to select a subset of configured RS resources, which are used to determine signal quality, which is also used to reduce error prediction and robustness.

[0067] In addition, the signal sending device 102 is used to perform quality measurement on a subset of RS resources. In one implementation, the signal sending device 102 is used to perform quality measurement on a subset of RS resources to provide CRI / SSBRI. In one implementation, the signal sending device 102 is used to perform quality measurement on a subset of RS resources to predict RSRP / SINR values, for example, based on at least one of multiple instances, DL RS resources, ports, reports indicating prediction ranges for the network node side, etc., outside the active bandwidth portion. Therefore, the quality measurement of the subset of RS resources is used to feed and report RSRP (or SINR) based on multiple prediction instances for beam reporting.

[0068] In addition, the signal sending device 102 is used to determine the signal quality of each measured RS resource. The signal quality corresponds to the data transmission capacity of each measured RS resource. In addition, the signal quality of each measured RS resource is determined according to the quality measurement of the subset of RS resources, for example, by the time series of the measured quality. According to an embodiment, the signal sending device 102 is used to determine the signal quality of a period of time by measuring the subset of RS resources, determining the signal quality of each measured RS resource at multiple times, and generating a time series of measured quality. In addition, the statistical information is determined according to the time series of measured quality. The signal sending device 102 is used to measure, and then determine the signal quality at multiple times (or time periods) to generate a statistical CSI report 104 for beam reporting, thereby capturing the signal quality in each time interval. According to an embodiment, the signal quality is determined as RSRP. In one implementation, RSRP is used to provide signal quality, for example, according to an RSRP threshold. For example, if the RSRP value is higher than the RSRP threshold, the signal quality is improved compared to the scenario where the RSRP value is lower than the RSRP threshold. Therefore, the signal sending device 102 determines the signal strength by determining the signal quality according to RSRP. According to an embodiment, the signal quality is determined as SINR. In one implementation, SINR is used to provide signal quality, for example, according to a SINR threshold. For example, if SINR is higher than SINR threshold, signal quality is improved compared to a scenario where SINR is lower than SINR threshold. Therefore, signal sending device 102 determines signal strength by determining signal quality according to SINR.

[0069] In addition, the signal sending device 102 is used to determine the statistical information of the determined signal quality. First, the signal sending device 102 is used to select a subset of configured RS resources. Then, the signal sending device 102 is used to measure the quality of the subset of RS resources, and then determine the signal quality of each measured RS resource. Finally, the signal sending device 102 is used to determine the statistical information of the determined signal quality to generate a statistical CSI report 104. By determining the statistical information of the determined signal quality of the measured CSI report, the signal sending device 102 provides the information required to avoid RSRP / SINR estimation errors or at least reduce the RSRP / SINR estimation error margin. According to one embodiment, the statistical information of the determined signal quality includes the mean and standard deviation of the signal quality. The mean and standard deviation of the signal quality provide the statistical information of the determined signal quality, such as signal fluctuations, to determine the signal quality and generate the statistical CSI report 104 for beam reporting. According to one embodiment, the statistical information of the determined signal quality includes a minimum value. The minimum value of the signal is used to determine the quality of the signal (e.g., a low-quality signal), which is used to predict beam prediction and beam reporting (e.g., for low-quality signals). According to one embodiment, the statistical information of the determined signal quality includes a quantile value. In one example, the quantile value corresponds to a value that divides the sorted data or probability distribution into equal parts. The quantile value is used to determine the statistical information of the determined signal quality for beam reporting. According to one embodiment, the signal sending device 102 is also used to determine the statistical information based on the time series of the measured quality, and the statistical information is determined based on one or more fields (L) of the measurement instance. One or more fields (L) are configured by the network or autonomously selected by the signal sending device 102 and indicated to the network node 108. One or more fields (L) include the statistical information of the determined signal quality to provide a beam prediction instance indicated for the prediction range of the beam reporting request.

[0070] The signal sending device 102 is also used to predict the future signal quality based on the statistical information of the determined signal quality. First, the signal sending device 102 is used to determine the signal quality, and then, the signal sending device 102 is used to determine the statistical information of the determined signal quality. In addition, the signal sending device 102 is used to predict the future signal quality based on the statistical information of the determined signal quality. According to one embodiment, the future signal quality indicates a range of signal quality prediction values ​​for one or more time periods. The range of signal quality prediction values ​​(i.e., the prediction of the statistical information of the determined signal quality) is used to utilize the prediction capability of the network 106 in multiple time intervals to avoid or at least reduce the beam reporting overhead while minimizing information loss.

[0071] The signal sending device 102 is used to generate a statistical CSI report 104 based on the statistical information of the determined signal quality, and send the statistical CSI report 104 to the network node 108. The signal sending device 102 is used to determine the signal quality and then generate the statistical CSI report 104. In addition, the generated statistical CSI report 104 is sent to the network node 108. The statistical CSI report 104 generated by the signal sending device 102 provides a prediction guidance or reasoning input format to the network node 108. In addition, the statistical CSI report 104 also provides data offset monitoring input for beam reporting and beam management.

[0072] According to an embodiment, the signal sending device 102 is used to receive an indication of report format switching from the network node 108, and determine a new report format according to the received switching command and RRC configuration, and generate a statistical CSI report 104 in response thereto. The network node 108 is used to send an indication of report format switching to the signal sending device 102. In other words, the network node 108 indicates the reporting format switching, for example, according to the statistical CSI reporting configuration used for beam reporting to the signal sending device 102 such as a user equipment. In addition, the indication of the report format switching is used to provide an indication of switching from a traditional beam report to an inference / monitoring beam report. In one example, the indication of the report format switching is used to trigger the beam reporting format to be changed to interference / monitoring input reporting through dynamic downlink signaling. Then, the signal sending device 102 is used to receive an indication of report format switching, and determine a new report format according to the received switching command and RRC configuration, and generate a statistical CSI report in response thereto. According to such an embodiment, the signal sending device 102 is used to determine the reporting format switching time, and send a beam reporting format switching request to the network node 108 at the determined time. In other words, the signal sending device 102 selects the reporting format switching time (i.e., the expected switching time) of the beam reporting format according to the report switching time, and autonomously switches the beam reporting format according to the explicit standard of the signal sending device 102 or the network configuration standard of the network 106. In addition, the signal sending device 102 is used to send a beam reporting format switching request to the network node 108 at a determined time.

[0073] In addition, the signal sending device 102 is used to receive an indication of one or more beams in response thereto, and the indicated beam is selected at least according to the statistical CSI report 104. First, the network node 108 is used to configure the CSI reporting configuration for the signal sending device 102. Then, the network node 108 is used to receive the CSI report from the signal sending device 102. In addition, the network node 108 is used to send an indication of report format switching to the signal sending device 102, and receive the statistical CSI report 104 sent by the signal sending device 102. In addition, the network node 108 is used to determine the updated beam according to the statistical CSI report 104, and then send the beam indication to the signal sending device 102, and the signal sending device 102 further selects the indicated beam according to the statistical CSI report 104. According to an embodiment, the signal sending device 102 is also used to receive an indication of one or more fields (N), one or more fields (M) and / or one or more fields (L) from the network node 108. In one implementation, the signal sending device 102 is used to receive an indication of one or more fields (N), one or more fields (M), and one or more fields (L) from the network node 108. In another implementation, the signal sending device 102 is used to receive an indication of one or more fields (N), one or more fields (M), or one or more fields (L) from the network node 108. According to one embodiment, the indicated beam includes one or more transmit beams. In one example, each of the one or more transmit beams includes corresponding identification information of the signal sending device 102. According to one embodiment, the indicated beam includes one or more receive beams. In one example, each of the one or more receive beams includes corresponding identification information of the signal sending device 102.

[0074] The signal sending device 102 is used to generate a statistical CSI report for beam reporting. The signal sending device 102 is used to determine statistical information of signal quality, and the statistical information of signal quality is used to provide guidance to the network node 108 for beam prediction while reducing prediction errors. In addition, the signal sending device 102 is used to use the prediction capabilities of the network node 108 to efficiently support more reporting beams, reduce beam reporting overhead, and minimize information loss. Therefore, the signal sending device 102 monitors the beam model performance to detect data offsets to perform beam management on the new air interface while reducing complexity and reducing overhead.

[0075] Figure 1C is a block diagram of a network node for managing channel state information (CSI) measurement and reporting according to various embodiments of the present invention. Figure 1C , shows a block diagram 100C of a network node 108 , which includes a second controller 116 , a second communication interface 118 , and a second memory 120 .

[0076] The second communication interface 118 is used by the network node 108 to communicate with the signal sending device 102. Examples of the second communication interface 118 may include, but are not limited to: a network interface, a computer port, a network socket, a network interface controller (NIC), and any other network interface device.

[0077] The second controller 116 of the network node 108 is used to manage CSI measurement and reporting. Examples of implementing the second controller 116 may include, but are not limited to: a central data processing device, a microprocessor, a microcontroller, a complex instruction set computing (CISC) processor, an application specific integrated circuit (ASIC) processor, a reduced instruction set computing (RISC) processor, a very long instruction word (VLIW) processor, a state machine, and other processors or control circuits.

[0078] The second memory 120 is used to store CSI measurements. Examples of implementing the second memory 120 may include, but are not limited to, electrically erasable programmable read-only memory (EEPROM), dynamic random access memory (DRAM), random access memory (RAM), read-only memory (ROM), hard disk drive (HDD), flash memory, secure digital (SD) card, solid state drive (SSD), and / or CPU cache memory.

[0079] Figure 2 FIG. 4 is a schematic diagram of switching between full channel state information reporting and inference input reporting according to an embodiment of the present invention. Figure 1B Combination Figure 2 The elements in the reference are described. Figure 2 , shows a schematic diagram of switching between beam reporting formats through a first indicator 202, a second indicator 204, a third indicator 206, and a fourth indicator 208. The first indicator 202 indicates a CSI measurement reference signal resource. The second indicator 204 indicates a CSI report including CRI or SSBRI and -RSRP or -SINR in a full channel state information report. In addition, the third indicator 206 indicates a CSI report including quantities that conform to reasoning (or monitoring). Therefore, the first indicator 202, the second indicator 204, and the third indicator 206 collectively represent switching between a full CSI report and a reasoning (or monitoring) input report.

[0080] Figure 3A It is a sequence diagram of the signaling process of switching the beam reporting format initiated by the network node to the inference / monitoring format reporting according to an embodiment of the present invention. Figure 3A Combination Figures 1A to 2 The elements in the reference are described. Figure 3A, shows a sequence diagram 300A, including operations from 302 to 322 for managing channel state information (CSI) measurement and reporting for beam management. The sequence diagram 300A further shows that ( Figure 1A The signaling process of switching the beam reporting format initiated by the network node 108 to the inference (or monitoring) format reporting.

[0081] During operation, the network node 108 is used to manage CSI measurement and reporting, for example, the network node 108 is used to configure a statistical CSI reporting configuration for the signal sending device 102. In other words, the network node 108 is used to configure a CSI measurement and reporting configuration for a signal sending device 102 such as a user equipment, including a statistical CSI reporting configuration, for beam reporting. In one implementation, the CSI reporting configuration includes at least two CSI reporting configurations, and the at least two CSI reporting configurations indicate a channel state information-reference signal resource indicator (Channel state information-Reference signal resource Indicator, CRI) or a synchronization signal / physical broadcast channel (Synchronization Signal / Physical Broadcast Channel, SS / PBCH) resource block indicator (SSBRI). In addition, the CSI reporting configuration also includes a beam-level reference signal received power (L1-RSRP) or a beam-level signal to interference and noise ratio (L1-SINR) as a reporting amount. The two CSI reporting configurations are implicitly or explicitly connected in radio resource control (RRC) (for example, in a higher-level RRC configuration / reconfiguration), or connected through L1 / L2 dynamic signaling. In addition, in operation 302 and operation 304, the network node 108 is used to configure the CSI reporting configuration for the signal sending device 102, including a statistical CSI reporting configuration. In addition, at least two of the above-mentioned connected CSI configurations indicate different CSI reporting formats for beam reporting, one of which is reserved for reasoning or monitoring instances. In another implementation, the CSI reporting configuration includes at least one CSI reporting configuration, indicating CRI (or SSBRI) and L1-RSRP (or L1-SINR) as reporting quantities, and configuring more than one beam reporting format, one of which is reserved for reasoning or monitoring instances. In yet another implementation, for the reasoning / monitoring format, the CSI reporting configuration also includes a parameter set that defines the number of quantities that need to be included in the report.

[0082] In operation 306, the network node 108 is further configured to send a downlink reference signal (DL RS) resource to the signal sending device 102. Then, the signal sending device 102 is configured to send a CSI report to the network node 108. In addition, in operation 308, the network node 108 is further configured to receive a CSI report from the signal sending device 102. The network node 108 is configured to receive one or more CSI reports, the CSI report including a CSI quantity that conforms to the first reporting format. Then, in operation 310, the network node 108 is configured to send a downlink reference signal (DL RS) resource to the signal sending device 102. In addition, in operation 312, the network node 108 is further configured to receive other CSI reports from the signal sending device 102. Therefore, the network node receives multiple statistical CSI reports from the signal sending device 102. In one implementation, the CSI report 104 includes CRI-RSRP, SSB-index-RSRP, CRI-SINR-R16, or SSB-index-SINR-R16.

[0083] In operation 314, the network node 108 is used to send an indication of report format switching to the signal sending device 102. In other words, the network node 108 indicates the switching of the reporting format. The indication of report format switching is used to provide an indication of switching from traditional beam reporting to inference / monitoring beam reporting. In one example, the indication of report format switching is used to trigger the beam reporting format to be changed to interference / monitoring input reporting. Then, the signal sending device 102 is used to receive the indication of report format switching, and determine the new report format according to the received switching command and RRC configuration, and in response thereto, generate a statistical CSI report. In addition, in operation 316, the network node 108 is also used to send DL RS resources to the signal sending device 102. According to an embodiment, the network node 108 is also used to determine that the signal quality value is predictable, and in response thereto, the network node 108 is used to determine the report format switching. In one example, the signal quality value is used to predict the high correlation between resources or between time. The signal sending device 102 is also used to measure the quality of a subset of DL RS resources, determine the signal quality of each measured DL RS resource and statistical information of the determined signal quality. Then, the signal sending device 102 is used to determine the reporting format switching time, and send a beam reporting format switching request to the network node 108 (e.g., a next generation node base station (gNB)) at the determined time. According to an embodiment, the network node 108 is also used to receive the beam reporting format switching request from the signal sending device 102, and determine the report switching time according to the received beam reporting format switching request. In one implementation, the signal sending device 102 can indicate to the network node 108 the appropriate time to switch the beam reporting format and the appropriate beam switching time according to the received beam reporting format switching request and the Doppler estimation at the signal sending device 102. In addition, the network node 108 is used to determine the report switching time and then send an indication of the report format switching to the signal sending device 102. Then, the signal sending device 102 selects the expected time to switch the beam reporting format according to the report switching time, and autonomously switches the beam reporting format according to the explicit standard of the signal sending device 102 or the network configuration standard of the network node 108. The beam reporting format is used to avoid high prediction errors, thereby improving robustness.

[0084] The network node 108 is also used to receive a statistical CSI report 104 from the signal sending device 102. Therefore, the network node 108 is used to activate or deactivate the reporting behavior of the signal sending device 102 by activating / deactivating the CSI reporting configuration or by activating or deactivating a specific format of the CSI reporting configuration. In addition, the statistical CSI report 104 is received according to the new format of CRI-RSRP and SSB-index-RSRP reporting. In addition, for DL ​​RS resources in the same BWP or DL ​​RS resources from different BWPs / including measurement gaps, a new format of beam reporting can be considered. In addition, statistics of the statistical CSI report 104 are calculated for resources from multiple transmission reception points (TRPs). In one example, such statistics can be calculated for beam groups, for example, when group-based beam reporting is enabled. Then, the network node 108 is used to determine an updated beam based on the statistical CSI report 104. Therefore, the updated beam is also based on the new reporting format. Furthermore, by using an appropriate model of reporting format switching, the network node 108 is configured to update the spatial characteristics of the propagation environment, whereby the network node 108 can infer the optimal beam from the reduced set of DL RS resource measurements. Furthermore, the scanning delay (or overhead delay) can be reduced or the number of narrow beams can be increased compared to conventional methods.

[0085] According to one embodiment, the network node 108 is further configured to determine a beam prediction based on the statistical CSI report 104, and to determine a configuration of an updated beam based on the beam prediction. In other words, the statistical CSI report 104 includes a new report format, which can be used to limit the beam prediction at the network node 108 to a range indicated by the signal sending device 102, etc. The beam prediction (or TCI state prediction) is used by the network node 108 to simplify the beam management of the updated beam. In one example, the network node 108 is used to determine a beam prediction, which can be used to monitor the performance and offset of different statistical models used for beam prediction at the network node 108. Therefore, abnormal beam predictions and abnormal beam predictions (e.g., outliers) can be limited, and the network node 108 can improve the prediction accuracy compared to traditional methods.

[0086] According to an embodiment, the network node 108 is configured to determine beam predictions using machine learning in the time domain. In one implementation, in instances where beam predictions are determined by the network node 108 (e.g., using machine learning in the time domain) in the time domain (e.g., in the time domain or the spatial domain), the reporting format is switched. In one example, the format switching is also used in monitoring instances where the network node 108 is configured to verify beam prediction data offsets. By using machine learning in the time domain for beam prediction, the network node 108 can perform beam management and improve the accuracy of beam selection while reducing overhead and latency.

[0087] According to one embodiment, the network node 108 is used to determine beam prediction using machine learning in the spatial domain. Therefore, by using machine learning, the network node 108 is used to derive channel spatial characteristics in the spatial domain. In addition, the network node 108 can then optimize beam scanning to derive an updated beam (e.g., a top beam) for the signal transmission device 102 from the DL RS resources while reducing measurements. By using machine learning for beam prediction in the spatial domain, the network node 108 can perform beam management, reduce overhead, reduce latency, and improve the accuracy of beam selection. In one implementation, with the advent of machine learning-based beam management in the wireless network air interface, multiple benefits can be obtained, including but not limited to: in addition to improving spatial resolution (using too many narrower beams), reducing latency, reducing RS overhead and reporting overhead.

[0088] According to one embodiment, the network node 108 is used to monitor the performance of the beam prediction model based on the statistical CSI report 104. By monitoring the performance of the beam prediction model, the network node 108 can therefore detect data offsets and identify when the beam prediction model needs to be updated (e.g., retrained or changed). In such embodiments, the network node 108 is used to determine the time to update and / or switch the beam prediction model based on the monitored performance and statistical CSI reports. In one implementation, the network node 108 can determine the appropriate time to update the beam prediction model based on the monitored performance and statistical CSI reports. In another implementation, the network node 108 can determine the appropriate time to switch the beam prediction model based on the monitored performance and statistical CSI reports. In yet another implementation, the network node 108 can determine the appropriate time to update and switch the beam prediction model based on the monitored performance and statistical CSI reports. Therefore, the network node 108 can improve beam management, increase gain and accuracy, and reduce latency, while reducing complexity and reducing computation time.

[0089] In such embodiments, the network node 108 is also used to determine the time to update and / or switch the beam prediction model by determining the offset between the reported statistical data and the model training data or the model inference result. In one implementation, the network node 108 is used to determine the time to update the beam prediction model by determining the offset between the reported statistical data and the model training data. In another implementation, the network node 108 is used to determine the time to switch the beam prediction model by determining the offset between the reported statistical data and the model training data. In yet another implementation, the network node 108 is used to determine the time to update the beam prediction model by determining the offset between the reported statistical data and the model inference result (for example, the inference result refers to the mechanism used by the machine learning model for prediction). In another implementation, the network node 108 is used to determine the time to switch the beam prediction model by determining the offset between the reported statistical data and the model inference result.

[0090] In one implementation, the input requirements of the network node may vary greatly depending on the operating mechanism. In addition, if beam prediction is not used, or when the network node 108 is collecting data to train a model for beam prediction, it is preferred to perform comprehensive reporting in a conventional format. In other words, during the training phase, the network node 108 is used to provide services with an expanded range by collecting a maximum number of measurements in order to obtain sufficient data for the model used for beam prediction training. Although the rate at which the model used for beam prediction training should be retrained (or updated) depends on many factors, it is critical to maintain the time scale in which any corrections should be made. In practice, prediction errors may have a more or less severe impact on performance depending on the type of service, the channel (e.g., the network 106), the capabilities of the signal transmission device 102, etc. In one example, the network node 108 can identify when a deviation occurs between the data on which the model used for beam prediction training is trained and the measurements currently observed by the signal transmission device 102. For example, an error in predicting the appropriate TCI state may result in triggering a beam failure recovery process, which has a high requirement for latency.

[0091] The network node 108 is also used to send a beam indication to the signal sending device 102. In addition, the signal sending device 102 is used to receive a beam indication in response thereto, for example, a beam indication of one or more beams, and the beam indication is selected based on at least a statistical CSI report. In one implementation, the signal sending device 102 is used to receive a beam indication of N, M and / or L from the network node 108. In one example, the indicated beams include one or more transmit beams. In another example, the beam indication includes one or more receive beams. The beam indication is used for a dynamic beam reporting format. In addition, in operation 318, the signal sending device 102 is used to calculate RSRP / S NR and RSRP / SINR statistics that conform to the configured format of the beam reasoning / monitoring report. Then, in operation 320, the signal sending device 102 is used to send a beam interference monitoring report to the network node 108. In addition, in operation 322, the network node 108 uses an appropriate model and at least uses the beam reasoning report / monitoring as part of the input to predict the RSRP / SINR of different beams

[0092] The network node 108 using the dynamic beam reporting format is used to manage and report beams for the new air interface, especially in the higher frequency range where beamforming is critical to ensure coverage, by dynamically switching between the inference (or monitoring) format and other formats with reduced beam scanning overhead and reduced latency. The network node 108 is used to reduce the beam reporting overhead while minimizing information loss by utilizing the prediction capability to further efficiently support more reported beams. The network node 108 is used to monitor the performance of the beam prediction model and identify the appropriate time to update and / or switch the beam prediction model to avoid high prediction errors, thereby improving robustness.

[0093] Figure 3B It is a sequence diagram of a signaling process for switching a beam reporting format to an inference / monitoring format initiated by a client device according to another embodiment of the present invention. Figure 3B Combination Figures 1A to 3A The elements in the reference are described. Figure 3B , shows a sequence diagram 300B, including operations from 324 to 346 for managing channel state information (CSI) measurement and reporting. Sequence diagram 300B also shows a signaling process initiated by the client device to switch the beam reporting format to the inference / monitoring format (e.g., initiated by the signal sending device 102).

[0094] In operation 324 and operation 326, the network node 108 is used to query and receive information about the capabilities of the signal transmission device 102, and configure CSI measurement and reporting configuration for the signal transmission device 102, including statistical CSI reporting configuration. In operation 328, the network node 108 is also used to send downlink reference signal (DL RS) resources to the signal transmission device 102. In operation 330, the network node 108 is also used to receive a CSI report from the signal transmission device 102. In one implementation, the CSI report 104 includes CRI-RSRP, SSB-index-RSRP, CRI-SINR-R16, or SSB-index-SINR-R16. Then, in operation 332, the network node 108 is used to send the DL RS resources to the signal transmission device 102. In addition, in operation 334, the network node 108 is also used to receive other CSI reports from the signal transmission device 102. Therefore, the network node receives multiple CSI reports from the signal transmission device 102. Then, in operation 336, the signal sending device 102 detects a change in propagation conditions, for example, an increase in beam dwell time. In addition, in operation 338, the signal sending device 102 is used to send a beam reporting format or an indication of a configuration switching message to the network node 108. In addition, in operation 340, the network node 108 is used to send DL RS resources to the signal sending device 102. Then, in operation 342, the signal sending device 102 is used to calculate RSRP / SINR and RSRP / SINR statistics that conform to the configuration format of beam reasoning / monitoring reporting. In one example, the number of measurement instances included in the RSRP / SINR statistic calculation is configured by the network node 108. In another example, the number of measurement instances in the RSRP / SINR statistic calculation is selected by the signal sending device 102, and in another example, indicated to the network node 108. Then, in operation 344, the signal sending device 102 is used to send a beam interference monitoring report to the network node 108. Finally, in operation 346, the network node 108 is operable to predict RSRP / SINR for different beams using an appropriate model and at least the beam inference reports / monitoring as part of the input.

[0095] Figure 3C It is a sequence diagram of the signaling process of switching the beam reporting format to the inference / monitoring format suggested by the client device according to another embodiment of the present invention. Figure 3C Combination Figures 1A to 3B The elements in the reference are described. Figure 3C, a sequence diagram 300C is shown, including operations from 348 to 372 for managing channel state information (CSI) measurement and reporting for beam management. The sequence diagram 300C also shows a signaling process (e.g., initiated by the signal sending device 102) for switching the beam reporting format suggested by the client device to the inference / monitoring format.

[0096] In operation 348 and operation 350, the network node 108 is configured to configure a CSI reporting configuration for the signal transmission device 102, including a statistical CSI reporting configuration. In operation 352, the network node 108 is further configured to send a downlink reference signal (DL RS) resource to the signal transmission device 102. In operation 354, the network node 108 is further configured to receive a CSI report from the signal transmission device 102. In one implementation, the CSI report 104 includes CRI-RSRP, SSB-index-RSRP, CRI-SINR-R16, or SSB-index-SINR-R16. Then, in operation 356, the network node 108 is configured to send the DL RS resource to the signal transmission device 102. In addition, in operation 358, the network node 108 is further configured to receive another CSI report from the signal transmission device 102. Therefore, the network node receives multiple CSI reports from the signal transmission device 102.

[0097] Then, in operation 360, the signal sending device 102 (i.e., UE) detects the offset in the distribution of the measured beam quantity and verifies the format switching criterion. The format switching criterion can be configured by the network node 108 or determined autonomously by the signal sending device 102. In addition, in operation 362, the signal sending device 102 is used to send a suggestion to the network node 102 to switch the CSI reporting format to the beam reasoning / monitoring format. In addition, in operation 364, the network node 102 is used to trigger the beam reporting to switch to the monitoring format. In addition, in operation 366, the network node 102 is also used to send DL RS resources to the signal sending device 102 in parallel. Then, in operation 368, the signal sending device 102 is used to calculate RSRP / SINR and RSRP / SINR statistics that conform to the configured format of the beam reasoning / monitoring report. Then, in operation 370, the signal sending device 102 is used to send a beam interference monitoring report to the network node 108. Finally, in operation 372, the network node 108 is operable to predict RSRP / SINR for different beams using an appropriate model and at least the beam inference reports / monitoring as part of the input.

[0098] Figure 4 It is a flowchart of a method for a signal sending device according to an embodiment of the present invention, wherein the signal sending device is used to generate a channel state information (CSI) report for beam reporting. Figure 4 Combination Figures 1A to 3C The elements in the reference are described. Figure 4 , a flow chart of a method 400 for a signal transmitting apparatus 102 is shown, wherein the signal transmitting apparatus 102 is used to generate a CSI report for beam reporting. The method 400 includes steps 402 to 416.

[0099] The method 400 provided is for a signaling device 102 for generating a CSI report for beam reporting. The beam reporting is used for beam management, for example, by providing a beam prediction capability. In one implementation, the statistical CSI report 104 provides a framework for beam reporting to improve beam prediction accuracy of the network node 108.

[0100] In step 402, the method 400 includes: selecting a subset of configured reference signal (RS) resources. The signal sending device 102 is configured to select a subset of RS resources.

[0101] In step 404, the method 400 includes: performing quality measurement on a subset of RS resources. The signal sending device 102 is configured to perform quality measurement on a subset of RS resources.

[0102] In step 406, the method 400 includes: determining the signal quality of each measurement RS resource. The signal sending device 102 is used to determine the signal quality of each measurement RS resource.

[0103] In step 408, the method 400 includes: determining statistical information of the determined signal quality. The signal sending device 102 is configured to determine the statistical information of the determined signal quality. By determining the statistical information of the determined signal quality of the measured CSI report, the signal sending device 102 provides the information required to avoid RSRP / SINR prediction errors or at least reduce RSRP / SINR prediction error margins.

[0104] In step 410, the method 400 includes: predicting future signal quality based on the statistical information of the determined signal quality. The signal sending device 102 is used to predict the future signal quality based on the statistical information of the determined signal quality. According to one embodiment, the future signal quality indicates a range of signal quality prediction values ​​for one or more time periods. The range of signal quality prediction values ​​(i.e., the prediction of the statistical information of the determined signal quality) is used to utilize the prediction capability of the network node 108 in multiple time intervals to avoid or at least reduce beam reporting overhead while minimizing information loss.

[0105] In step 412, method 400 includes: generating a statistical CSI report based on the determined signal quality statistics and, in some implementations, based on the signal quality prediction value. Signal sending device 102 is configured to generate a statistical CSI report based on the determined signal quality statistics and the signal quality prediction value.

[0106] In step 414, the method 400 includes sending a statistical CSI report to the network node 108. The signal transmission device 102 is used to send the statistical CSI report to the network node 108. The statistical CSI report 104 generated by the signal transmission device 102 provides a prediction guidance or reasoning input format to the network node 108. In addition, the statistical CSI report 104 also provides data or performance deviation monitoring input for beam management.

[0107] In step 416, the method 400 includes: in response thereto, receiving an indication in one or more beam indications, and the indicated beam is selected based on at least the statistical CSI report. The signal transmission device 102 is used to receive the indication in the one or more beam indications. According to an embodiment, the indicated beams include one or more transmit beams. In an example, the indicated beams include one or more receive beams. The method 400 is based on the adjustment of the reported CSI amount for the beam (or TCI) state reasoning instance in the beam report by the signal transmission device 102 (e.g., a client device). In addition, the method 400 can be used to monitor the performance and offset of the model used for beam prediction at the network node 108 side.

[0108] The method 400 is used in a signal transmission device 102, which is used to generate a statistical CSI report for beam reporting. The method 400 includes: determining statistical information of signal quality, and the statistical information of signal quality is used to provide guidance information to the network node 108 for beam prediction, while reducing the prediction error. In addition, the method 400 is used to use the prediction ability of the network node 108 to efficiently support more narrow beams, reduce beam reporting overhead, and minimize information loss. Therefore, the method 400 is used to monitor the performance of the beam model, thereby detecting data or performance of the beam prediction model.

[0109] Steps 402 to 416 are merely illustrative, and other alternatives may be provided in which one or more steps are added, one or more steps are deleted, or one or more steps are provided in a different order without departing from the scope of the claims herein.

[0110] A computer program product is also provided, comprising program instructions, wherein the program instructions are used to perform the method 400 when executed by one or more processors in the signal sending device 102. The computer program product is implemented as an algorithm, embedded in software stored in a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium may include, but is not limited to: an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above devices. Examples of implementing computer-readable storage media include, but are not limited to: an electrically erasable programmable read-only memory (EEPROM), a random access memory (RAM), a read-only memory (ROM), a hard disk drive (HDD), a flash memory, a secure digital (SD) card, a solid-state drive (SSD), a computer-readable storage medium, and / or a CPU cache memory.

[0111] Figure 5 is a flow chart of a method for a network node according to another embodiment of the present invention, wherein the network node is used to manage CSI measurement and reporting. Figure 5 Combination Figure 1A The elements in Figure 3 are described. Figure 5 , a flow chart of a method 500 for a network node 108 is shown, wherein the network node 108 is used to manage CSI measurement and reporting. The method 500 includes steps 502 to 512.

[0112] The method 500 provided is used for a network node 105, which is used to manage CSI measurement and reporting. In step 502, the method 500 includes: configuring a CSI reporting configuration for a signal sending device 102. In other words, the network node 108 is used to configure a CSI reporting configuration for a signal sending device 102 such as a user equipment, including a statistical CSI reporting configuration, to perform beam reporting.

[0113] In step 504, the method 500 includes receiving a CSI report from a signaling device. The network node 108 is configured to receive one or more CSI reports. In one implementation, the CSI report includes one or more CSI-RS resource indicators (CRIs) or SS / PBCH resource block indicators (SSBRIs).

[0114] In step 506, the method 500 includes: sending an indication of a report format switch to the signal sending device. In other words, the network node 108 indicates a switch of the reporting format, for example, switching from a traditional beam reporting to an inference monitoring format. The indication of the report format switch is used to provide an indication of switching from a traditional beam reporting to an inference / monitoring beam reporting.

[0115] In step 508, the method 500 includes receiving a statistical CSI report. The network node 108 is configured to receive the statistical CSI report to activate or deactivate the reporting behavior of the signal sending device 102 by activating / deactivating the CSI reporting configuration or by activating or deactivating a specific format of the CSI reporting configuration.

[0116] In step 510, the method 500 includes: determining an updated beam based on the statistical CSI report. The network node 108 is configured to determine the updated beam based on the statistical CSI report. Therefore, the updated beam is also based on the new reporting format. In addition, by using an appropriate model of the reporting format switching, the network node 108 is configured to update the spatial characteristics of the propagation environment, whereby the network node 108 can infer the optimal beam from the reduced DL RS resource measurement set.

[0117] In step 512, the method 500 includes: sending a beam indication to the signal sending device 102. The network node 108 is used to send the beam indication to the signal sending device 102. In addition, the signal sending device 102 is used to receive a beam indication in response thereto, for example, a beam indication of one or more beams, and the beam indication is selected based on at least a statistical CSI report. In one example, the indicated beam includes one or more transmit beams. In another example, the beam indication includes one or more receive beams. In addition, the signal sending device 102 is used to calculate an RSRP / SINR statistic that conforms to a configured format of a beam reasoning / monitoring report. Then, the signal sending device 102 is used to send a beam interference monitoring report to the network node 108.

[0118] Method 500 is used to: use a dynamic beam reporting format for beam management and reporting of new air interfaces, especially in higher frequency ranges where beamforming is critical to ensure coverage, by dynamically switching between inference (or monitoring) formats and other formats with reduced beam scanning overhead and reduced latency. Method 500 is used to: reduce beam reporting overhead while minimizing information loss by leveraging the prediction capabilities of network nodes. Method 500 is used to: monitor the performance of beam prediction models and identify appropriate times to update or / and switch beam prediction models to avoid high prediction errors, thereby improving robustness.

[0119] Steps 502 to 512 are merely illustrative, and other alternatives may be provided in which one or more steps are added, one or more steps are deleted, or one or more steps are provided in a different order without departing from the scope of the claims herein.

[0120] A computer program product is also provided, comprising program instructions, wherein the program instructions are used to perform the method 500 when executed by one or more processors in the network node 108. The computer program product is implemented as an algorithm, embedded in software stored in a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium may include, but is not limited to: an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above devices. Examples of implementing computer-readable storage media include, but are not limited to: an electrically erasable programmable read-only memory (EEPROM), a random access memory (RAM), a read-only memory (ROM), a hard disk drive (HDD), a flash memory, a secure digital (SD) card, a solid-state drive (SSD), a computer-readable storage medium, and / or a CPU cache memory.

[0121] Without departing from the scope of the invention as defined by the appended claims, the embodiments of the invention described above may be modified. Expressions such as "including", "comprising", "incorporating", "having", "being / being" etc. used to describe and claim the present invention are intended to be interpreted in a non-exclusive manner, i.e., allowing items, components or elements not explicitly described to also exist. References to the singular should also be interpreted as involving the plural. The word "exemplary" used herein means "as an example, instance or illustration". Any embodiment described as "exemplary" is not necessarily interpreted as being more preferred or more advantageous than other embodiments, or excluding the combination of the features of other embodiments. The word "optionally" used herein means "provided in some embodiments and not provided in other embodiments". It should be understood that certain features of the present invention described in the context of a single embodiment for the sake of clarity may also be provided in a single embodiment by combination. On the contrary, the various features of the present invention described in the context of a single embodiment for the sake of brevity may also be provided individually or in any suitable combination or as any other described embodiment of the present invention.

Claims

1. A signal sending device (102), configured to generate a statistical channel state information (CSI) report (104) for beam reporting, wherein the signal sending device (102) is further configured to: Selecting a subset of configured reference signal RS resources; performing quality measurement on the subset of the RS resources; Determining the signal quality of each measured RS resource; determining statistical information of the determined signal quality; predicting future signal quality based on said statistical information of said determined signal quality; generating the statistical CSI report (104) based on the statistical information of the determined signal quality; sending the statistical CSI report (104) to a network node (108); In response thereto, an indication of one or more beams is received, wherein the indicated beams are selected based at least on the statistical CSI report (104).

2. The signal sending device (102) according to claim 1, characterized in that: The RS resource is a channel measurement resource.

3. The signal sending device (102) according to claim 1 or 2, characterized in that: The RS resource is an interference measurement resource.

4. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The indicated beams include one or more transmit beams.

5. The signal transmitting device (102) according to any one of the preceding claims, characterized in that: The indicated beams include one or more receive beams.

6. The signal transmitting device (102) according to any one of the preceding claims, further configured to: The signal quality over a period of time is determined by measuring the subset of the RS resources and determining the signal quality of each measured RS resource at multiple times, thereby generating a time series of measured qualities, wherein: The statistical information is determined based on the time series of the measured qualities.

7. The signal transmitting device (102) according to any one of the preceding claims, further configured to: The statistical information is determined based on the time series of the measured qualities, wherein: The statistical information is determined based on one or more (L) of measurement instances, where L is configured by the network or autonomously selected by the signaling device (102) and indicated to the network node (108).

8. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The statistical CSI report (104) includes: One or more fields (N), the one or more fields (N) comprising an indicator of each measurement RS resource, the indicator being a CSI-RS resource indicator CRI or a SS / PBCH resource block indicator SSBRI; one or more fields (M), the one or more fields (M) comprising a measured signal quality; One or more fields (L), said one or more fields (L) comprising statistical information of said determined signal quality, one field for each measurement time instance.

9. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The indicator is used for more than one measurement RS resource.

10. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal quality is determined as reference signal received power RSRP.

11. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal quality is determined as a signal to interference plus noise ratio SINR.

12. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The statistical information of the determined signal quality includes a mean value and a standard deviation of the signal quality.

13. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The statistical information of the determined signal quality comprises a minimum value.

14. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The statistical information of the determined signal quality comprises quantile values.

15. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The future signal quality indicator indicates a range of predicted signal quality values ​​for one or more time periods.

16. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal sending device (102) is further configured to select the subset of the configured reference signal RS resources according to RSRP variance or SINR variance or RSRP or SINR autocorrelation over a period of time.

17. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal sending device (102) is also used for: receiving an indication of a report format switch from a network node (108), The new reporting format is determined based on the received handover command and RRC configuration, and in response thereto, the statistical CSI report is generated (104).

18. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal sending device (102) is also used to determine a reporting format switching time, and send a beam reporting format switching request to the network node (108) at the determined time.

19. The signal transmitting device (102) according to any one of the preceding claims, characterized in that The signal sending device (102) is further configured to receive an indication of N, M and / or L from the network node (108).

20. A network node (108) for managing CSI measurement and reporting, the network node (108) being configured to: Configuring statistical CSI reporting configuration for the signal sending device (102); Receiving a statistical CSI report from a signal sending device (102); Sending an indication of report format switching to the signal sending device (102); Receiving statistical CSI reports (104); determining an updated beam according to the statistical CSI report (104); A beam indication is sent to the signal sending device (102).

21. The network node (108) according to claim 20, characterized in that The network node (108) is further configured to determine a beam prediction based on the statistical CSI report (104), and determine a configuration of the updated beam based on the beam prediction.

22. The network node (108) according to claim 21, characterized in that The network node (108) is further configured to determine the beam prediction using machine learning in the time domain.

23. The network node (108) according to claim 21, characterized in that The network node (108) is further configured to determine the beam prediction using machine learning in the spatial domain.

24. The network node (108) according to any one of claims 20 to 23, characterized in that The network node (108) is further configured to monitor the performance of a beam prediction model based on the statistical CSI report (104).

25. The network node (108) according to claim 24, characterized in that The network node (108) is further configured to determine a time to update and / or switch the beam prediction model based on the monitored performance and the statistical CSI report.

26. The network node (108) according to claim 25, characterized in that The network node (108) is further configured to determine the time to update and / or switch the beam prediction model by determining an offset between reported statistical data and model training data or model inference results.

27. The network node (108) according to any one of claims 20 to 26, characterized in that The network node (108) is further configured to determine that the signal quality value is predictable, and in response thereto, determine the reporting format switch.

28. The network node (108) according to any one of claims 20 to 26, characterized in that The network node (108) is further configured to receive a beam reporting format switching request from the signal sending device (102), and determine the report switching time according to the received beam reporting format switching request.

29. A method (400) for a signal transmitting device (102), the signal transmitting device (102) being used to generate a statistical channel state information (CSI) report (104) for beam reporting, the method (400) comprising: Selecting a subset of configured reference signal RS resources; performing quality measurement on the subset of the RS resources; Determining the signal quality of each measured RS resource; determining statistical information of the determined signal quality; predicting future signal quality based on said statistical information of said determined signal quality; generating the statistical CSI report (104) based on the statistical information of the determined signal quality; sending the statistical CSI report (104) to the network node (108); In response thereto, an indication of one or more beam indications is received, wherein the indicated beam is selected based at least on the statistical CSI report (104).

30. A method (500) for a network node (108), the network node (108) being configured to manage CSI measurement and reporting, the method (500) comprising: Configuring statistical CSI reporting configuration for the signal sending device (102); Receiving a statistical CSI report from a signal sending device (102); Sending an indication of report format switching to the signal sending device (102); Receiving statistical CSI reports (104); determining an updated beam according to the statistical CSI report (104); A beam indication is sent to the signal sending device (102).

31. A computer program product comprising program instructions, wherein: The program instructions are used to perform the method (400) according to claim 29 or 30 when executed by one or more processors in the signal transmitting device (102).

32. A computer program product comprising program instructions, wherein: The program instructions are for performing the method (500) according to claim 30 or 31 when executed by one or more processors in a network node (108).

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