Dynamic probabilistic confidence indication for optimal k user equipment side model beam prediction

Abstract

In accordance with an example embodiment of the present invention there is at least one method and apparatus for performing: determining, by a network node of a communication network, a predicted beam report comprising at least one of a confidence information dynamic report configuration or a probability information dynamic report configuration; sending the configuration to a user equipment of the communication network; receiving, based on the configuration, information including a report of a predicted beam from the user equipment, where the report uses a reuse resource indicator bit to indicate at least one of confidence information or probability information; and based on the reporting, providing to the user equipment a determined indication of the reported change in the K dimension of the predicted beam for the future reporting instance.

Description

TECHNICAL FIELD

[0001] The teachings of the exemplary embodiments according to this application relate generally to an enhanced method for indicating reporting of best K predicted beams from UE side model to enable the UE to report CSI of predicted and non-predicted beams with minimum overhead, and more particularly to an enhanced method for indicating reporting of best K predicted beams from UE side model based on confidence / probability information obtained, for example, by model output to enable the UE to report CSI of predicted and non-predicted beams with minimum overhead. BACKGROUND

[0002] This section is intended to provide a background or context to the application recited in the claims. The description herein can include concepts that can be pursued, but are not necessarily ones that have been previously conceived or pursued. Therefore, unless otherwise stated in this document, material described in this section is not prior art to the claims in this application and is not admitted to be prior art by inclusion in this section.

[0003] Certain acronyms that can be found in the specification and / or drawings can be defined as follows: 5G Fifth Generation AI Artificial Intelligence CRI CSI-RS Resource Indicator CSI Channel State Information DCI Downlink Control Information DL Downlink gNb 5G / NR Base Station MIMO Multiple Input Multiple Output ML Machine Learning NN Neural Network NR New Radio RAN Radio Access Network RS Reference Signal Rx Receiver RRC Radio Resource Control SSB Synchronization Signal Block Tx Transmitter UE User Equipment UL Uplink At the time of this application, the potential standardization impact of L1 signaling reporting information related to AI / ML model inference to the NW has been investigated. One major aspect in handling the case of UE side AI / ML model is in defining the conditions and content regarding reporting of predicted beam information (e.g., probability information).

[0004] The first option is to introduce prediction related metrics as reporting quantities in the reporting configuration. For example, the most obvious metric can be the predicted best beam ID. If the NW thinks it is beneficial to obtain other metrics, it should be allowed to configure those metrics. Other metrics can be predicted beam quality, such as predicted L1-RSRP or L1-SINR; predicted beam application time; confidence / probability information related to the predicted beam, etc.

[0005] Another option is to configure a prediction dedicated resource set in the CSI reporting configuration.

[0006] However, none of the above related arts has studied a dynamic method for down-selection of the predicted best K beams within the existing CSI reporting scheme with UE side model applied (without specifying prediction related metrics or dedicated resource set).

[0007] Example embodiments of the present invention propose improved operations to address at least these issues. SUMMARY

[0008] This section contains examples of possible implementations and is not meant to be limiting.

[0009] In another example aspect of the present invention, there is an apparatus, such as a user equipment side apparatus, comprising: at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: determine, by a network node of a communication network, a prediction beam report, the prediction beam report including at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; transmit, to a user equipment of the communication network, a configuration; receive, from the user equipment based on the configuration, information of a report including a prediction beam, wherein the report indicates at least one of the confidence information or the probability information using a reusing resource indicator bit; and provide, to the user equipment based on the report, a determined indication of a change in a reported K-dimension of the prediction beam for a future reporting instance.

[0010] In yet another example aspect of the present invention, there is a method comprising: determining, by a network node of a communication network, a prediction beam report, the prediction beam report including at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; transmitting, to a user equipment of the communication network, a configuration; receiving, from the user equipment based on the configuration, information of a report including a prediction beam, wherein the report indicates at least one of the confidence information or the probability information using a reusing resource indicator bit; and providing, to the user equipment based on the report, a determined indication of a change in a reported K-dimension of the prediction beam for a future reporting instance.

[0011] Another example embodiment is an apparatus and a method comprising the apparatus and method of the preceding paragraph, wherein the at least one of the confidence information dynamic reporting configuration or the probability information dynamic reporting configuration and the predicted beam reporting comprises: a predicted top K beam reporting and at least one of a top K confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; wherein the configuration is to enable dynamic change of the predicted top K beam reporting; wherein the configuration comprises a predictedTopKreport field, wherein the field is one of flagged as true and a number of bits N, wherein the N bits indicate the requested top K predicted beams; wherein the configuration indicates a request for one of an explicit indication or an implicit indication of the top K predicted beams; wherein the configuration comprises a MinConfidenceThreshold, the MinConfidenceThreshold indicates at least one new indication for a minimum number of top K beams with highest probabilities; wherein the configuration comprises a MaxConfidenceThreshold, the MaxConfidenceThreshold is used to indicate at least one new indication for a selection of top K beams with highest probabilities, wherein the selected top K beams are less than the MaxConfideneThreshold; wherein the information comprises a reporting of the top K predicted beams using reusing channel state information reference signal resource indicator bits to indicate at least one of the confidence information or the probability information; the determined indication changes the predictedTopKvalue or keeps the current value based on a consideration of the at least one of the confidence information or the probability information; wherein a check is made whether the top K predicted beams have the same at least one of the confidence information or the probability information; and based on the check, the user equipment is requested to report the top K predicted beams; wherein a check is made whether an average level of the top K predicted beams has the at least one of the confidence information or the probability information below a threshold value; based on the check, the user equipment is requested to report top K+M predicted beams, wherein M is configured at the network node; wherein a check is made whether an average level of the top K predicted beams has the at least one of the confidence information or the probability information above a threshold value; and based on the check, the user equipment is requested to report top K-M predicted beams, wherein M is configured at the network node; wherein the determined indication is based on a check whether the top K predicted beams have the same at least one of the confidence information or the probability information; wherein based on the check, the user equipment is requested to report the top K predicted beams; wherein the top K predicted beams are calculated based on at least one of: the predictedTopKvalue; the minConfidenceThreshold; or the maxConfidenceThreshold; and / or wherein a determination is made that an average level of the top K predicted beams has the at least one of the confidence information or the probability information below a threshold value;and reporting the best K predicted beams and at least M predicted beams, where M is configured at the network node.

[0012] A non-transitory computer-readable medium storing program code, the program code executed by at least one processor to perform at least the method as described in the paragraphs above.

[0013] In yet another example aspect of the application, there is an apparatus comprising: means for determining, by a network node of a communication network, a predicted beam report comprising at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; means for sending the configuration to a user equipment of the communication network; based on the configuration, means for receiving information comprising a report of predicted beams from the user equipment, wherein the report indicates at least one of confidence information or probability information using re-use resource indicator bits; and based on the report, means for providing, to the user equipment, a determined indication of a change in a reported K-dimension of predicted beams for a future reporting instance.

[0014] According to the example embodiments described in the paragraphs above, the means for at least determining, sending, receiving and providing comprise a network interface, and computer program code stored on a computer-readable medium and executed by at least one processor.

[0015] In another example aspect of the application, there is an apparatus, e.g. a network side apparatus, comprising: at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, by a user equipment of a communication network, information comprising a predicted beam report, the predicted beam report comprising at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; based on the information, provide, to a network node of the communication network, a report that indicates at least one of confidence information or probability information using at least one re-use resource indicator bit, wherein the report identifies a number of predicted beams to be reported using at least one of spatial or temporal beam prediction and an indication of a threshold level used to compute the predicted beams, and wherein the report indicates a number of indices of at least one bit-width used for the report or per predicted beam using at least one beam of a set of beams; and based on the report, receive a determined indication of a change in a reported K-dimension of predicted beams for a future reporting instance.

[0016] In yet another example aspect of the application, a method is provided comprising: receiving, by a user equipment of a communication network, information including a predictive beam report, the predictive beam report including at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; based on the information, providing a report to a network node of the communication network, the report using at least one re-use resource indicator bit to indicate at least one of confidence information or probability information, wherein the report identifies a number of predicted beams to be reported using at least one of spatial or temporal beam prediction and an indication of a threshold level used to compute the predicted beams, and wherein the report uses at least one beam of a set of beams to indicate a number of indices for at least one bit-width of the report or per predicted beam; and based on the report, receiving a determined indication of a change to a reported K-dimension of predicted beams for a future reporting instance.

[0017] Another example embodiment is an apparatus and a method comprising the apparatus and method of the preceding paragraph, wherein the information comprises at least one of a predictedTopKreport field or predictedTopKvalue = N bits, wherein the N bits indicate at least one requested top K predicted beams; wherein the threshold level comprises at least one of a MinConfidenceThreshold level or a MaxConfidenceThreshold level; wherein at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level is used for at least one new indication for selecting a minimum number of top K beams with highest probabilities; wherein the MinConfidenceThreshold is used for indicating at least one new indication for selecting a minimum number of top K beams with highest probabilities; wherein the MaxConfidiceThreshold is used for indicating at least one new indication for selecting top K beams with highest probabilities, wherein the selected top K beams are less than the MaxConfidenceThreshold; wherein the at least one bit width comprises a channel state information reference signal resource indicator bit width; wherein the channel state information report is generated as a response to a triggering event based on a configuration; wherein the configuration comprises a predictedTopKreport field, wherein the configuration comprises a MaxConfidenceThreshold for indicating at least one new indication for selecting top K beams with highest probabilities, wherein the selected top K beams are less than the MaxConfidenceThreshold; wherein the predictedTopKreport field is marked as true or one of N bits, wherein N indicates the requested top K predicted beams; wherein based on the predictedTopKreport field being marked as true, a number of top K predicted beams to be reported is determined using at least one of spatial or temporal beam prediction and an indication of top K predicted beams calculated using at least one of a MinConfidenceThreshold level or a MaxConfidenceThreshold level; wherein at least K beams are determined from a set of beams A for indicating at least one of: predicted top K beams for reporting, an index of channel state information reference signal resource indicator bits, or a bit width;wherein the indication identifies an updated channel state information reference signal resource indicator bit width in the corresponding channel state information report, and the best K predicted beams calculated on each channel state information report, wherein the updated channel state information reference signal resource indicator bit width is used as part of the probability information report used for dynamic best K predicted beam indication; wherein determining whether one or more bits in the channel state information reference signal resource indicator bit width is used to indicate at least one of the confidence information or the probability information of the best K predicted beams as a new indication feature, the location of the bit in the channel state information report field, and the information indicated by the at least one re-use resource indicator bit, wherein the determination is based on at least the predictedTopKreport field being marked as true and the number of bits N; wherein the at least one re-use resource indicator bit is indicated via at least one of a hard-coded specification of a specific re-use rule for channel state information reference signal resource indicator bits or a higher layer configuration; wherein the confidence information comprises a subset of confidence levels, and wherein based on a confidence level of the subset being higher compared to the remaining confidence levels of the subset, at least one of the following is performed: changing the K dimension to the dimension size of the subset, or changing the K dimension to a larger K dimension.

[0018] A communication system including a network-side apparatus and a user equipment-side apparatus performing operations as described above. BRIEF DESCRIPTION OF DRAWINGS

[0019] The above and other aspects, features, and benefits of various embodiments of the present disclosure will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which like reference numerals refer to like elements throughout, and wherein: Figure 1 A diagram showing different steps according to example embodiments of the present application is shown; Figure 2 Table 1 showing an illustration of re-using CRI bits in CSI report for confidence and / or probability information is shown; Figure 3 High-level block diagrams of various devices for performing aspects of the present application are shown; and Figure 4A and Figure 4B Each shows a method according to example embodiments of the present application that can be performed by an apparatus. DETAILED DESCRIPTION

[0020] In example embodiments of the invention, at least one method and apparatus is proposed for indicating an enhanced method of reporting the best K predicted beams from the UE side model based on the confidence / probability information obtained, for example, by the model output, to enable the UE to report the CSI of predicted and non-predicted beams with minimal overhead.

[0021] Beam management standardization From earlier releases, 3GPP has standardized a set of operations for supporting beamformed transmissions, including beam sweeping, beam measurement and reporting, beam maintenance and recovery. All these aspects are detailed in the standard under the broad topic of beam management procedures. Beam management has been continuously evolving in releases to support more advanced configurations, such as multi-beam reporting to enable multi-TRP and multi-panel configurations.

[0022] However, one fundamental issue with the beam management procedures is that with a large number of beams supported by high-dimensional MIMO arrays, the CSI-RS measurement and feedback overhead fundamentally increases to support beam selection. Furthermore, the time required for the gNB and UE to complete beam sweeping and establish the best beam correspondingly increases. As a result, the support for low latency communications is limited.

[0023] This is mainly due to the frequency of SSB / CSI-RS transmissions during procedures P1, P2, P3 described in the 3GPP standard at the time of this application, summarized as follows: 1. P1 provides beam sweeping, which is implemented for the gNB to periodically transmit SSBs with wide angle beams to sweep the coverage area. Conversely, the UE sweeps through different SSBs to identify the best beam requesting access and the corresponding time / frequency resources.

[0024] 2. During P2, after the wide beams are established in P1, the gNB performs beam refinement with narrow beams sending CSI-RS to identify a more precise direction towards the UE.

[0025] 3. During P3, beam refinement is implemented at the UE side to sweep through a set of Rx narrow beams while the gNB uses the best beam identified in P2P to send CSI-RS.

[0026] Procedures P1, P2 and P3 are sequentially performed to establish data transmission between the gNB and the UE, and are completely repeated in case of beam failure and recovery. Furthermore, P2 and P3 are also periodically repeated for beam maintenance.

[0027] SI scope for beam management with AI / ML In another 3GPP release, there is a study on Artificial Intelligence (AI) / Machine Learning (ML) for the NR air interface, which is agreed in the standard at the time of this application.

[0028] This includes the study of 3GPP framework for AI / ML for air interface corresponding to each target use case with respect to aspects such as performance, complexity, and potential specification impact.

[0029] Use cases focus on: • The initial set of use cases includes: ° CSI feedback enhancements, e.g., overhead reduction, improved accuracy, prediction [RAN1]; ° Beam management, e.g., beam prediction in time and / or spatial domain for overhead and latency reduction, beam selection Accuracy improvement [RAN1] ; ° Positioning accuracy enhancements for different scenarios, including e.g., those with heavy NLOS conditions [RAN1]; • As agreed in the standard at the time, representative sub-use cases are determined for each use case for characterization and baseline performance evaluation: ° AI / ML methods for selected sub-use cases need to be diverse enough to support various requirements on the level of gNB-UE cooperation.

[0030] Note: The selection of use cases for this study is only for the development of a framework to apply AI / ML to the air interface for these and other use cases. The selection itself is not intended to provide any indication of any future specification project prospects.

[0031] The main motivation for supporting AI / ML based beam management in the standard is the overhead saving and latency reduction. It has been shown that ML algorithms enable predicting the serving beam for different UE positions and time instances, avoiding measuring the actual beam quality and saving those resources to be used for data transmission.

[0032] On the other hand, when the size of the antenna array increases, those beam sweeping operations performed in P1, P2, and P3 are time inefficient and non-scalable. Therefore, ML algorithms can replace the sequential beam sweeping by recommending a reduced set of beams that can contain the best beam index of a full sweep.

[0033] In an example, one of the potential output types for the AI / ML model is given the probability of the best beam ID. The probability information can be used to determine the best K predicted beams out of the most probable best beams predicted by the ML model for a second refinement beam selection and / or for other purposes (model monitoring, handover, etc.).

[0034] The (subsequent) issue of reporting predicted L1-RSRP corresponding to DL Tx beam or beam pair is that reporting many best K predicted beams can create extra UCI overhead, as reporting predicted L1-RSRP or beam ID with very low probability information (e.g., 1%) completely wastes UCI resources, thus possibly degrading the performance (and coverage) of PUSCH. The larger number of bits for unnecessary information actually limits the CSI reporting resources.

[0035] Furthermore, reporting all predicted beams can impose extra overhead on gNB while performing monitoring performance, as it requires receiving all predicted beam probability information and requires UE to continue / switch models. Considering that the best K predicted beams with highest probability information can be utilized from the output of ML model at UE, the number of predicted L1-RSRP reports can be reduced.

[0036] However, it has not been specified / discussed Components for indication, determination of confidence interval / probability information for the top K beams, where gNB can dynamically configure UE to increase / decrease the number of predicted top K For BM-case 1 with UE-side AI / ML model, potential specification impact of L1 signaling to report the following AI / ML model inference information can be studied .

[0037] Furthermore, regardless of the selected model, the NW needs to understand to what extent it can rely on the prediction, e.g., by receiving information related to the confidence of the prediction. Each predicted confidence interval can be represented by a range of values within which the predicted RSRP is with a certain probability.

[0038] It can be seen that the example embodiments of the present invention are based at least on the following proposals: Confidence / uncertainty information related to the output of AI / ML model inference Predicted dedicated resource : • beam(s) based on the output of AI / ML model inference; • predicted L1-RSRP corresponding to the beam(s) (if applicable); • set .

[0039] As mentioned above, one option in the standard submission is to introduce prediction related metrics as reporting quantities in the reporting configuration. For example, the most obvious metric can be the predicted best beam ID. If the NW thinks it is beneficial to obtain other metrics, it should be allowed to configure those metrics. Other metrics can be predicted beam quality, such as predicted L1-RSRP or L1-SINR; or predicted beam application time; confidence / probability information related to predicted beam, etc.

[0040] Furthermore, as mentioned above, another option in the standard submission is to configure Figure 3 Figure 3 .

[0041] However, it should be noted that dynamic methods for the downward selection of the best K beams in existing CSI reporting schemes that apply UE-side models (e.g., without requiring the specification of prediction-related metrics or dedicated resource sets) do not appear to have been studied.

[0042] Example embodiments of the present invention address the gap by at least one method and apparatus that uses a dynamic indication scheme to specify the optimal number of the best K predicted beams that take into account the predicted beam confidence / probability information to be reported to the NW.

[0043] An exemplary embodiment of the present invention introduces an enhancement method for instructing the UE-side model to report the best K predicted beams based on confidence / probability information (e.g., obtained from model output), so that the UE can report the CSI of both predicted and unpredicted beams with minimal overhead.

[0044] Before describing in detail the exemplary embodiments disclosed herein, refer to Figure 3 It illustrates simplified block diagrams of various electronic devices suitable for practicing exemplary embodiments of the present invention.

[0045] Figure 3 A block diagram of one possible, non-limiting, exemplary system in which example embodiments can be practiced is shown. Figure 3 In this context, User Equipment (UE) 10 communicates wirelessly with Wireless Network 1 or Network 1, such as... Figure 3 As shown. Figure 3 The wireless network 1 or network 1 in the document may include a communication network, such as a mobile network, for example, mobile network 1 or a first mobile network disclosed herein. In this document, as... Figure 3 Any reference to Wireless Network 1 in this document may be regarded as a reference to any wireless network as disclosed herein. Furthermore, as Figure 3 The wireless network 1 may also include hard-wired features that the communication network may require. A UE is a wireless device that can access the wireless network, typically a mobile device. A UE may be, for example, a mobile phone (or "cellular") and / or a computer with mobile terminal functionality. For example, a UE or mobile terminal may also be a portable, pocket-sized, handheld, computer-embedded, or vehicle-mounted mobile device that performs voice signaling and / or data exchange with the random access network (RAN).

[0046] UE 10 includes one or more processors DP 10A, one or more memories MEM 10B, and one or more transceivers TRANS 10D interconnected via one or more buses. Each of the one or more transceivers TRANS 10D includes a receiver and a transmitter. The one or more buses may be address, data, or control buses and may include any interconnecting mechanism, such as a series of lines on a motherboard or integrated circuit, fiber optic cable, or other optical communication device. The one or more transceivers TRANS 10D may optionally be connected to one or more antennas to communicate with NN 12. The one or more memories MEM 10B include computer program code PROG 10C. UE 10 communicates with NN 12 via wireless link 11 or 16.

[0047] NN 12 (NR / 5G Node B, evolved NB, or LTE equipment) is related to, for example, NR / 5G Node B, evolved NB, or LTE equipment. Figure 3 Network nodes, such as primary or secondary base stations (e.g., for NR or LTE Long Term Evolution), communicate with the devices of UE 10. NN 12 provides access to wireless devices such as UE 10 to Radio Network 1. NN 12 includes one or more processors DP 12A, one or more memories MEM 12B, and one or more transceivers TRANS 12D interconnected via one or more buses. According to an example embodiment, these TRANS 12Ds may include X2 and / or Xn interfaces for performing the example embodiment. Each of the one or more transceivers TRANS 12D includes a receiver and a transmitter. The one or more transceivers TRANS 12D are optionally connected to one or more antennas for communicating with UE 10 at least via link 11. One or more memories MEM 12B and computer program code PROG 12C are configured, together with one or more processors DP 12A, to cause NN 12 to perform one or more operations as described herein. NN 12 may communicate with another gNB or eNB, for example, via link 16. Furthermore, Link 11, Link 16, and / or any other link can be wired or wireless, or both, and can implement, for example, an X2 or Xn interface. Additionally, Link 11 and / or Link 16 can be connected to other network devices, such as, but not limited to, […]. Figure 3 The NCE / MME / SGW / UDM / PCF / AMF / SMF 14 devices are included. The NN 12 can perform the functions of an MME (Mobility Management Entity) or SGW (Serving Gateway), such as user plane functions and / or access management functions for LTE and similar functions for 5G.

[0048] LMF 13 (NR / 5G, evolved NB, or LTE equipment) are network devices, such as those including those related to... Figure 3a location management function device (e.g., for NR or LTE Long Term Evolution) that communicates with devices such as the NN 12 and the UE 10. The LMF 13 can be associated with a mobility function device such as an AMF or an SMF, and in addition, the LMF 13 can communicate with devices such as the NN 12 and / or the UE 10 and / or the wireless network 1. The LMF 13 includes one or more processors DP 13A, one or more memories MEM 13B, one or more network interfaces, and one or more transceivers TRANS 13D interconnected by one or more buses. According to example embodiments, the network interfaces of the LMF 13 can include X2 and / or Xn interfaces for performing example embodiments. Each of the one or more transceivers TRANS 13D includes a receiver and a transmitter that are optionally connected to one or more antennas. The one or more memories MEM 13B include computer program code PROG 13C. The one or more memories MEM 13B and the computer program code PROG 13C are configured, for example, to, with the one or more processors DP 13A, cause the LMF 13 to perform one or more operations as described herein. The LMF 13 can communicate with another mobility function device and / or eNB such as the NN 12 and the UE 10 or any other device or NCE / MME / SGW / UDM / PCF / AMF / SMF 14 using, for example, the link 11 or the link 16 or another link. As Figure 3 indicated, the link 16 can be used for communication between the NN 12 and the NN 13. These links can be wired or wireless or both and can implement, for example, X2 or Xn interfaces. In addition, as described above, the link 11 and / or the link 16 can pass through other network devices such as, but not limited to, NCE / MME / SGW devices such as Figure 3 the NCE / MME / SGW / UDM / PCF / AMF / SMF 14.

[0049] Figure 3 The one or more buses of the devices can be address, data, or control buses and can include any interconnection mechanism, such as a mother board or a series of lines on an integrated circuit, optical fiber or other optical communication device, wireless channels, and the like. For example, the one or more transceivers TRANS 12D, TRANS 13D, and / or TRANS 10D can be implemented as a remote radio head (RRH) with other elements of the NN 12 physically located in a different location from the RRH, and these devices can include one or more buses that can be partially implemented as fiber optic cables to connect the other elements of the NN 12 to the RRH.

[0050] It should be noted that although CommonA network node such as NN 12 is shown, but this node can be incorporated into or be incorporated by a eNodeB or eNB or gNB such as for LTE and NR, and still be configurable to perform example embodiments.

[0051] It is also noted that the description herein indicates that a "cell" performs functions, but it is understood that it can be a gNB forming the cell and / or a user equipment and / or a mobility management function device that will perform the functions. Also, a cell constitutes a part of a gNB and there can be multiple cells per gNB.

[0052] Wireless network 1 or any network it can represent can or can not include NCE / MME / SGW / UDM / PCF / AMF / SMF 14, which can include (NCE) network control element functions, MME (mobility management entity) / SGW (serving gateway) functions, and / or serving gateway (SGW), and / or MME (mobility management entity) and / or SGW (serving gateway) functions, and / or user data management functions (UDM), and / or PCF (policy control) functions, and / or access and mobility management functions (AMF) functions, and / or session management (SMF) functions, and / or location management functions (LMF), and / or authentication server (AUSF) functions, and it provides connectivity with additional networks such as telephone networks and / or data communication networks (e.g., the Internet), and it is configured to perform any 5G and / or NR operations in addition to or instead of other standard operations at the time of the application. NCE / MME / SGW / UDM / PCF / AMF / SMF 14 can be configurable to perform operations according to any example embodiments of LTE, NR, 5G, and / or any standards-based communication technology performed or discussed at the time of the application. Also, it is noted that operations performed by NN 12 and / or LMF 13 according to example embodiments can also be performed at NCE / MME / SGW / UDM / PCF / AMF / SMF 14.

[0053] The NCE / MME / SGW / UDM / PCF / AMF / SMF 14 comprises one or more processors DP 14A, one or more memories MEM 14B and one or more network interfaces (N / W I / F) interconnected by one or more buses coupled with link 13 and / or link 16. According to example embodiments, these network interfaces can comprise X2 and / or Xn interfaces for performing example embodiments. The one or more memories MEM 14B comprise computer program code PROG 14C. The one or more memories MEM 14B and the computer program code PROG 14C are configured to, together with the one or more processors DP 14A, cause the NCE / MME / SGW / UDM / PCF / AMF / SMF 14 to perform one or more operations that can be needed to support operations according to example embodiments.

[0054] It is noted that the NN 12 and / or the LMF 13 and / or the UE 10 can be configured (e.g., based on a standard implementation, etc.) to perform the functions of a Location Management Function (LMF). The LMF functions can be embodied in any of these network devices or other devices associated with these devices. In addition, the functions of the LMF (e.g., the LMF 13) can be co-located with the UE 10, so as to be separate from the NN 12 and / or the LMF 13 of Figure 1 for performing operations according to example embodiments as disclosed herein. Each

[0055] The wireless network 1 can implement network virtualization, which is the process of combining hardware and software network resources and network functionality into a single, software-based management entity (virtual network). Network virtualization involves platform virtualization, often combined with resource virtualization. Network virtualization is classified as external, combining many networks or parts of networks into a virtual unit, or internal, providing network-like functionality to software containers on a single system. It is noted that the virtualized entities resulting from network virtualization are still implemented using hardware at some level, e.g., the processors DP 10, DP 12A, DP 13A and / or DP 14A and the memories MEM 10B, MEM 12B, MEM 13B and / or MEM 14B, and such virtualized entities also produce technical effects.

[0056] ​The computer readable memories MEM 10B, MEM 12B, MEM 13B and MEM 14B can be of any type suitable to the local technical environment and can be implemented using any suitable data storage technology, such as semiconductor based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory. The computer readable memories MEM 10B, MEM 12B, MEM 13B and MEM 14B can be means for performing storage functions. By way of non-limiting example, the processors DP 10, DP 12A, DP 13A and DP 14A can be of any type suitable to the local technical environment, and can include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on multi-core processor architectures, as non-limiting examples. The processors DP 10, DP 12A, DP 13A and DP 14A can be means for performing functions, such as controlling the UE 10, the NN 12, the LMF 13, and other functions described herein.

[0057] Generally, various embodiments of any of these devices can include, but are not limited to, cellular phones (e.g., smart phones), tablets, personal digital assistants (PDAs) having wireless communication capabilities, portable computers having wireless communication capabilities, image capture devices (e.g., digital cameras with wireless communication capabilities), gaming devices having wireless communication capabilities, music storage and playback appliances with wireless communication capabilities, Internet appliances enabling wireless Internet access and browsing, tablets with wireless communication capabilities, as well as portable units or terminals that incorporate combinations of such functions.

[0058] In addition, various embodiments of any of these devices can be used in conjunction with a UE vehicle, a high-altitude platform station, or any other such type node associated with a terrestrial network or any drone type radio or aircraft or other airborne vehicle or a ship that travels on water, such as a boat.

[0059] As mentioned above, the example embodiments of the present application introduce an enhancement method for indicating the best K predicted beams to be reported from the UE side model based on the confidence / probability information (e.g., obtained by the model output) to enable the UE to report the CSI for the predicted and non-predicted beams with minimal overhead.

[0060] Note that the present application focuses on reporting the best K predicted beam confidence / probability information available at the output of the model (in addition to e.g. the predicted L1-RSRP or beam ID or as a standalone output). Some design aspects according to the example embodiments of the present application can be at least outlined in the following.

[0061] The example embodiments of the invention comprise at least the following: 1. UE is configured or instructed to generate UL report containing at least information related to confidence level of predicted beams determined at UE side; o The information related to confidence level can be indication of best K predicted beams Indication : ▪ In common indication, gNB can not receive confidence value for each predicted beam and has to rely on common indication to determine future K dimension; o The information related to confidence level can be confidence value corresponding to predicted beam in best K predicted beams Additional indication to change : Previously reported K-dimension : ▪ In these indications, gNB can receive confidence value for each predicted beam. Certain quantization method can be considered to report exact confidence value from ML model.

[0062] 2. After reporting information to NW, in one variant, UE receives Determination confidence value of best K predicted beams Change of reported K-dimension , where additional indication can allow UE to increase K dimension or decrease K dimension or not change K dimension.

[0063] o The additional indication can be received by triggering different AP-CSI report or via other means for upcoming reporting instance.

[0064] 3. After reporting information to NW, in another variant, UE This determination is based on confidence value of best K predicted beams for future reporting instance Rules , where Figure 1 can allow UE to increase K dimension or decrease K dimension or not change K dimension. These rules can be defined to UE, where rules can contain one or more of the following: Figure 1 ▪ If UE reports indication of best K confidence levels within given threshold to each other, UE can keep same dimension of K for future; ▪ If UE reports indication of best K confidence levels not within given threshold to each other, UE can change dimension of K for future; ▪ In one variant, if subset of confidence levels are on higher side compared to the rest, UE can change K dimension to subset dimension size; ▪ In one variant, if confidence levels are not within given range or have subset that can identify higher confidence values, UE can change K dimension to larger K dimension. ​

[0065] Further details of these aspects are described in further detail below and with reference to Figure 1 .

[0066] Minimum number An example is shown with 5 steps as described below according to example embodiments of the application.

[0067] Some key inventive aspects according to example embodiments of the application are described below.

[0068] Note that some operations according to example embodiments of the application include additional embodiments as disclosed in these steps as Auxiliary NW-based model monitoring .

[0069] An example of a method for providing the best K predicted beams reported by the UE side ML model Predicted top K beam reporting configuration indication to request explicit or implicit UE indication of the top K predicted beams (e.g., top K predicted L1-RSRP beams) including a new field (e.g., "predictedTopKreport" = TRUE = and / or predictedTopKvalue = n, where n indicates the requested top K predicted beams) and their corresponding confidence / probability information to MinConfidiceThreshold : • Step 1: NW config / indicate, and UE receives (e.g., via RRC configuration) predicted Top K beam report and Top K confidence / probability information dynamic reporting configuration (predictedTopKreport) and new MinConfidiceThreshold or MaxConfidiceThreshold or predictedTopKvalue to enable dynamic change of Top K reporting (e.g., via RRC configuration): o MinConfidiceThreshold MinConfidanceThreshold MinConfidanceThreshold .

[0070] o At least MaxConfidenceThreshold where at least MaxConfidenceThreshold at least one new indication for selecting the minimum number of Top K beams with the highest probability.

[0071] In one example, the configuration includes MaxConfidanceThreshold for indicating at least one new indication for selecting the Top K beams with the highest probability, where the selected Top K beams are less than MaxConfidanceThreshold.

[0072] In an example, if MaxConfidenceThreshold = 80%, and the output set A predicted in descending order is defined as follows: predictedSetA = {60% (BeamIndex = 1), 35% (BeamIndex = 2), 1% (BeamIndex = 3), 1% (BeamIndex = 4), 1% (BeamIndex = 5), 1% (BeamIndex = 6), 1% (BeamIndex = 7), 0 (BeamIndex = 8), …0 (BeamIndex = 64)}, then the best 2 predicted beams are selected.

[0073] In another example, if MaxConfidenceThreshold = 80%, and the output set A prediction in descending order is defined as follows: predictedSetA = {25% (BeamIndex = 1), 20% (BeamIndex = 2), 20% (BeamIndex = 3), 15% (BeamIndex = 4), 15% (BeamIndex = 5), 1% (BeamIndex = 6), 1% (BeamIndex = 7), 1% (BeamIndex = 8), 1 (BeamIndex = 9), 1% (BeamIndex = 10), 1% (BeamIndex = 11), …, 0 (BeamIndex = 64)}, then the best 4 predicted beams are selected.

[0074] At least New configuration field where at least = TRUE is used to indicate at least one new indication for selecting the best K beams with the highest probability, where the selected best K beams are less than Indication to use MinConfidiceThreshold or MaxConfidiceThreshold to compute the top K predicted beams .

[0075] In an example, if Compute updated CRI bit-width in each CSI report relative to the top K predicted beams in the corresponding CSI report, updated CRI bit-width is used as part of the probability information report used for dynamic top K predicted beam indication = 25%, and the output set A prediction in descending order is defined as follows: predictedSetA = {60% (BeamIndex = 1), 35% (BeamIndex = 2), 1% (BeamIndex = 3), 1% (BeamIndex = 4), 1% (BeamIndex = 5), 1% (BeamIndex = 6), 1% (BeamIndex = 7), 0 (BeamIndex = 8), …0 (BeamIndex = 64)}, then the best 2 predicted beams are selected; o Where the number of bits (N) is used to indicate the confidence / probability information.

[0076] Step 2: The UE receives the predicted best K beam report configuration and generates the CSI report as a response to the triggering event, where UE determines whether one or more bits in CRI bit-width are used to indicate confidence / probability information of the top K predicted beams as one new indication feature, the location of the bits in the CSI report field, and the information indicated by these re-purposed bits, where this determination is based on at least whether predictedTopKreport = 'TRUE' and the number of bits N. Such re-purposed bits can"predictedTopKreport" Indicate can be described as: ○ Using spatial / temporal beam prediction and Re-purpose CRI bits in CSI report: Figure 2 , the UE determines the number of the best K predicted beams to be reported; ○ The UE determines at least K beams from the set of A beams for indicating: the best K predicted beams for reporting, the index of the CRI, the bit width, and its indication, where the indication can be: ▪ predictedTopKreport" = TRUE predictedTopKreport" = TRUE ; ○ predictedTopKvalue ​ ​ ​ via the hard - coded specification of the specific reuse rule for CRI bits and / or the high - layer configuration to ​ .

[0077] ​ ○ The MSB (or LSB) of the CRI, where: ▪ Determine DeltconfigiceOffset = 1 / K and PredictedTopKrequidedbits = to identify the number of reused bits.

[0078] ▪ In one example: • If DeltconfidenceOffset = 0.25, then PredictedTopkrequiredbits = 2 For reporting confidence / probability information between 0 < x < 0.25, ; ▪ For reporting confidence / probability information between 0.25 < x < 0.5, ; ▪ For reporting confidence / probability information between 0.5 < x < 0.75, ; ▪ For reporting confidence / probability information between 0.75 < x < 1.0, .

[0079] As ​ Table 1 in shows an example of this method. [[ID=�0]]

[0080] In this method, the UE represents the predicted beam and determines: ○ Whether one or more bits in the best K CRIs are used to indicate confidence / probability information, ○ Reuse the bit's position in the CSI report, ○ Information indicated by reused bits, The determination mentioned above is based at least on whether " ​ And the number of bits N.

[0081] In one example, if the instruction is " ​ If the UE checks whether the CRI bit in the corresponding CSI report is greater than or equal to N, then the MSB / LSB of the CRI bit in the CSI report is used for this indication. Otherwise, the UE assumes that a default value (e.g., RRC configured in the specification or hardcoded) is used for this indication.

[0082] The optimal K is calculated based on any of the following indicators: ▪ ​ ; ▪ MinConfidenceThreshold ; ▪ MaxConfidenceThreshold .

[0083] Step 3: The UE uses the reused CRI bits, which are used to indicate confidence / probability information, to report the best K predicted beams.

[0084] Step 4: The NW receives the best K predicted beams and their corresponding confidence / probability information, and determines the performance monitoring: ▪ Should confidence / probability information be considered to modify... predictedTopKvalue Or keep the current value; ▪ In one example, NW checks whether the top K predicted beams have the same confidence / probability information, and NW requires the report of the top 1 predicted beam; ▪ In another example, the NW checks whether the average confidence / probability information of the best K predicted beams is below a threshold. The NW requires reporting the best K+M predicted beams, where M is configured at the NW; and / or ▪ In another example, the NW checks whether the average confidence / probability information of the best K predicted beams is greater than a threshold. The NW requires the reporting of the best KM predicted beams, where M is configured at the NW.

[0085] Step 5: NW selects the best K predicted beams for future reported instances based on the instructions in Step 4. Reported K-dimension The changes.

[0086] Figure 4A and Figure 4B Methods according to exemplary embodiments of the invention that can be performed by a device are shown respectively.

[0087] Figure 4A It shows that it can be generated by network devices (e.g., but not limited to)Figure 3 The operation is performed by network devices (NN 12 10 or gNB or eNB) in the communication network. As shown in step 410, a predicted beam report is determined by the network node of the communication network, which includes at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration. Figure 4A As shown in step 420, the configuration is sent to the user equipment of the communication network. Figure 4A As shown in step 430, based on the configuration, information including a report of the predicted beam is received from the user equipment. Figure 4A As shown in step 440, the report uses reuse information indicator bits to indicate at least one of confidence information or probability information. Then, as... Figure 4A As shown in step 445, based on the report, the user equipment is provided with a determined indication of the reported K-dimensional changes of the predicted beam for future reported instances.

[0088] According to the example embodiments described in the above paragraphs, at least one of the confidence information dynamic reporting configuration or the probability information dynamic reporting configuration and the prediction beam report include: the prediction of the best K beams report and at least one of the best K confidence information dynamic reporting configuration or the probability information dynamic reporting configuration.

[0089] According to the example embodiment described in the above paragraphs, the configuration is used to enable dynamic changes in the prediction of the best K beam reports.

[0090] According to the example embodiment described in the above paragraphs, the configuration includes a predictedTopKreport field, wherein the field is marked as true and one of the number of bits N, wherein the N bits indicate the requested best K predicted beams.

[0091] According to the example embodiments described in the preceding paragraphs, the configuration indicates a request for either an explicit indication or an implicit indication of the best K predicted beams.

[0092] According to the example embodiment described in the above paragraphs, the configuration includes MinConfidenceThreshold, which indicates at least one new indication for selecting the minimum number of the best K beams with the highest probability.

[0093] According to the example embodiment described in the above paragraphs, the configuration includes MaxConfidenceThreshold, which is used to indicate at least one new indication for selecting the best K beams with the highest probability, wherein the selected best K beams are less than MaxConfidenceThreshold.

[0094] According to the example embodiments described in the preceding paragraphs, the information includes a report of the best K predicted beams that use reused channel state information reference signal resource indicator bits to indicate at least one of confidence information or probability information.

[0095] According to the example embodiments described in the preceding paragraphs, the determined indication is modified based on consideration of at least one of confidence information or probability information. predictedTopKvalue Or keep the current value.

[0096] According to the example embodiments described in the above paragraphs, it is checked whether the best K predicted beams have at least one of the same confidence information or probability information; and based on the check, the user equipment is requested to report the best K predicted beams.

[0097] According to the example embodiment described in the above paragraphs, it is checked whether at least one of the confidence information or probability information of the average level of the best K predicted beams is below a threshold; and based on the check, the user equipment is requested to report the best K+M predicted beams, where M is configured at the network node.

[0098] According to the example embodiment described in the above paragraphs, it is checked whether at least one of the confidence information or probability information of the average level of the best K predicted beams is greater than a threshold; and based on the check, the user equipment is requested to report the best KM predicted beams, where M is configured at the network node.

[0099] According to the example embodiments described in the preceding paragraphs, the determined indication is based on checking whether the best K predicted beams have the same confidence information or probability information, at least one of them.

[0100] According to the example embodiment described in the above paragraphs, the user equipment is requested to report the best predicted beam based on the inspection.

[0101] According to the example embodiment described in the above paragraphs, the best K predicted beams are calculated based on at least one of the following: predictedTopKvalue; minConfidenceThreshold; or maxConfidenceThreshold.

[0102] According to the example embodiments described in the above paragraphs, the average level of the determined K prediction beams has at least one of confidence information or probability information that is below a threshold; and the best K prediction beams and at least M prediction beams are reported, where M is configured at the network node.

[0103] Non-transitory computer-readable media (such as Figure 3MEM 10B) stored program code (such as Figure 3 In PROG10C), the program code is generated by at least one processor (such as...). Figure 3 The DP 10A in the above section is executed to perform at least the operations described in the paragraphs above.

[0104] According to the exemplary embodiments of the present invention described above, there exists an apparatus comprising: for communication networks (such as...) Figure 3 Network nodes in network 1) (such as Figure 3 NN 12) determines the components of the predicted beam report (such as...) Figure 3 One or more transceivers 10D; MEM 10B; PROG 10C; and DP 10A in the network), the predicted beam report includes at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; used to report to user equipment (such as...) in the communication network. Figure 3 UE 10 in the middle sends the configured components (such as Figure 3 One or more transceivers 10D; MEM 10B; PROG 10C; and DP10A); components for receiving information including a report of predicted beams from the user equipment based on configuration (such as... Figure 3 One or more transceivers 10D; MEM 10B; PROG 10C; and DP 10A in the report, wherein the report uses reuse information indicator bits to indicate at least one of confidence information or probability information; and components (such as...) for providing the user equipment with a determined indication of the reported K-dimensional variation of the predicted beam for future reported instances based on the report. Figure 3 One or more transceivers 10D; MEM 10B; PROG 10C; and DP 10A are included.

[0105] According to the exemplary aspects of the invention described in the preceding paragraphs, at least the components for determining, transmitting, receiving, and providing include a non-transitory computer-readable medium [such as...]. Figure 3 [MEM 10B], whose encoding can be generated by at least one processor [e.g. Figure 3 The computer program executed by DP 10A in [e.g.] Figure 3 PROG 10C (in the file).

[0106] Figure 4B It shows that it can be generated by network devices (e.g., but not limited to) Figure 3 The operations performed by network devices (NN 12 10 or gNB or eNB) in the network. Figure 4B As shown in step 450, the user equipment of the communication network receives information including a predicted beam report, which includes at least one of a confidence information dynamic report configuration or a probability information dynamic report configuration.Figure 4B As shown in step 460, based on the information, a report is provided to the network nodes of the communication network, the report using at least one reused resource indicator bit to indicate at least one of confidence information or probability information. Figure 4B Step 470 shows that the report identifies the number of predicted beams to be reported, using at least one of spatial or temporal beam prediction and an indication of the use of a threshold level to calculate the predicted beams. Figure 4B As shown in step 480, the report uses at least one beam from the beam set to indicate the number of indices of at least one bit width used for reporting, or each predicted beam. Then, as... Figure 4B As shown in step 490, based on the report, an indication is received of the determined changes in the reported K-dimensional of the predicted beam for future reported instances.

[0107] According to the example embodiment described in the preceding paragraph, the information includes a field for at least one of the predictedTopKreport field or predictedTopKvalue = N bits, wherein the N bits indicate at least one of the requested best K predicted beams.

[0108] According to the example embodiments described in the preceding paragraphs, the threshold level includes at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level.

[0109] According to the example embodiment described in the preceding paragraph, at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level is used for at least one new indication for selecting the minimum number of the optimal K beams with the highest probability.

[0110] According to the example embodiment described in the preceding paragraph, MinConfidenceThreshold is used to indicate at least one new indication for selecting the minimum number of the optimal K beams with the highest probability.

[0111] According to the example embodiment described in the preceding paragraph, MaxConfidenceThreshold is used to indicate at least one new indication for selecting the best K beams with the highest probability, wherein the selected best K beams are less than MaxConfidenceThreshold.

[0112] According to the example embodiments described in the preceding paragraphs, at least one bit width includes the channel state information reference signal resource indicator bit width.

[0113] According to the example embodiment described in the preceding paragraph, a channel state information report is generated as a response to a triggering event, based on the configuration.

[0114] According to the example embodiment described in the preceding paragraph, the configuration includes a predictedTopKreport field, wherein the predictedTopKreport field is marked as true or one of N bits, where N indicates the requested best K predicted beams.

[0115] According to the example embodiment described in the preceding paragraph, where the predictedTopKreport field is marked as true, the number of the best K predicted beams to be reported is determined using at least one of spatial or temporal beam prediction and an indication of using at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level to calculate the best K predicted beams.

[0116] According to the example embodiment described in the preceding paragraph, at least K beams are determined from the beam set A to indicate at least one of the following: the predicted best K beams for reporting, the index of the channel state information reference signal resource indicator bit, or the bit width.

[0117] According to the example embodiment described in the preceding paragraph, the updated channel state information reference signal resource indicator bit width in the channel state information report corresponding to the indicator identifier, and the optimal K predicted beams calculated on each channel state information report, wherein the updated channel state information reference signal resource indicator bit width is used as part of the probability information report used for dynamic optimal K predicted beam indication.

[0118] According to the example embodiment described in the preceding paragraph, determining whether one or more bits in the channel state information reference signal resource indicator bit width are used to indicate at least one of the confidence information or probability information of the best K predicted beams as a new indicator feature, the position of the bit in the channel state information report field, and the information indicated by at least one reuse resource indicator bit, wherein the determination is based at least on the predictedTopKreport field marked as true and the number of bits N.

[0119] According to the example embodiment described in the preceding paragraph, at least one reuse resource indicator bit is indicated via at least one of the following: a hard-coded specification or higher-level configuration of a specific reuse rule for the channel state information reference signal resource indicator bit.

[0120] According to the example embodiment described in the preceding paragraph, wherein the confidence information includes a subset of confidence levels, and wherein the confidence level of the subset is higher than the remaining confidence level of the subset, at least one of the following is performed: changing the K dimension to the size of the subset dimension, or changing the K dimension to a larger K dimension.

[0121] Non-transitory computer-readable media (such as Figure 3 MEM 12B) stored program code (such as Figure 3 In PROG12C), the program code is processed by at least one processor (such as...). Figure 3 DP 12A in the above section is executed to perform at least the operations described in the paragraphs above.

[0122] According to the exemplary embodiments of the present invention described above, there exists an apparatus comprising: a user equipment (such as...) for communication via a communication network (...). Figure 3 UE 10) receives components including information such as predicted beam reports (e.g. Figure 3 One or more transceivers 12D; MEM 12B; PROG 12C; and DP 12A in the network), the predicted beam report includes at least one of a confidence information dynamic reporting configuration or a probability information dynamic reporting configuration; components for providing reports to network nodes of the communication network based on information (such as... Figure 3 Among one or more transceivers 12D; MEM 12B; PROG 12C; and DP 12A, the report uses at least one reuse resource indicator bit to indicate at least one of confidence information or probability information, wherein the report identifies at least one of spatial or temporal beam prediction and the number of predicted beams to be reported, indicating the use of a threshold level to calculate the predicted beams, and wherein the report uses at least one beam from the beam set to indicate the number of indices of at least one bit width for reporting or each predicted beam; and components (such as...) for determining the indication based on the reported K-dimensional changes of the predicted beams for future reporting instances based on report reception. Figure 3 One or more transceivers 12D; MEM 12B; PROG 12C; and DP 12A are included.

[0123] In an exemplary aspect of the invention according to the foregoing paragraphs, wherein at least the components for receiving, providing, and receiving include a non-transitory computer-readable medium [e.g., Figure 3 MEB 12B], encoded with a format that can be processed by at least one processor [e.g. Figure 3 The computer program executed by DP 12A in [e.g.] Figure 3 [PROG 12C in the middle]

[0124] Furthermore, according to exemplary embodiments of the present invention, there is circuitry for performing operations according to exemplary embodiments of the invention disclosed herein. This circuitry may include any type of circuitry, including content encoding circuitry, content decoding circuitry, processing circuitry, image generation circuitry, data analysis circuitry, etc. Furthermore, this circuitry may include discrete circuitry, application-specific integrated circuits (ASICs) and / or field-programmable gate arrays (FPGAs), as well as processors specifically configured by software to perform corresponding functions, or dual-core processors having software and corresponding digital signal processors, etc. Additionally, necessary inputs to the circuitry and outputs from the circuitry, functions performed by the circuitry, and interconnections (possibly via inputs and outputs) between the circuitry and other components that may include other circuitry are provided to perform exemplary embodiments of the invention as described herein.

[0125] According to the exemplary embodiments of the present invention disclosed in this application, the provided "circuit" may include at least one or more or all of the following: (a) Implemented only in hardware circuitry (e.g., in purely analog and / or digital circuitry). (b) A combination of hardware circuitry and software, such as (if applicable): (i) A combination of (multiple) analog and / or digital hardware circuits with software / firmware; and (ii) Any part of a hardware processor having software (including (multiple) digital signal processors, software, and (multiple) memories, which work together to enable a device (such as a mobile phone or server) to perform various functions, such as the functions or operations of exemplary embodiments of the invention according to this disclosure); and (c) The operation requires software (e.g., firmware) for the operation of (multiple) hardware circuits and / or (multiple) processors, such as (multiple) microprocessors or parts thereof, but the software may be absent when the operation does not require the software.

[0126] According to an exemplary embodiment of the present invention, there exists sufficient circuitry to perform at least the novel operations disclosed herein, wherein the term "circuitry" as used herein refers to at least the following: (a) Implemented solely with hardware circuitry (e.g., implemented with purely analog and / or digital circuitry); and (b) A combination of hardware circuitry and software, such as (if applicable): (i) a combination of processors, or (ii) a portion of processor / software (including (multiple) digital signal processors, software, and (multiple) memories, which work together to enable a device (such as a mobile phone or server) to perform various functions); and (c) Circuits that require software or firmware (even if the software or firmware does not physically exist) for operation, such as (multiple) microprocessors or portions thereof.

[0127] This definition of "circuit" applies to all uses of the term in this application (including in any claim). As a further example, as used in this application, the term "circuit" also covers implementations of a processor (or processors) alone, or portions thereof, and their accompanying software and / or firmware. For example, where applicable to a particular claim element, the term "circuit" also covers baseband integrated circuits or application processor integrated circuits for mobile circuits, or similar integrated circuits in servers, cellular network devices, or other network devices.

[0128] Generally, various embodiments can be implemented in hardware or dedicated circuitry, software, logic, or any combination thereof. For example, some aspects may be implemented in hardware, while others may be implemented in firmware or software executable by a controller, microprocessor, or other computing device, but the invention is not limited thereto. While various aspects of the invention may be shown and described as block diagrams, flowcharts, or using some other graphical representation, it should be understood that, as non-limiting examples, the blocks, apparatuses, systems, techniques, or methods described herein may be implemented in hardware, software, firmware, dedicated circuitry or logic, general-purpose hardware or controllers or other computing devices, or some combination thereof.

[0129] Embodiments of the present invention can be practiced in various components such as integrated circuit modules. The design of integrated circuits is generally a highly automated process. Complex and powerful software tools can be used to transform logic-level designs into semiconductor circuit designs ready to be etched and formed on a semiconductor substrate.

[0130] The word "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. All embodiments described in this detailed description are exemplary embodiments provided to enable those skilled in the art to make or use the invention, and do not limit the scope of the invention as defined by the claims.

[0131] The foregoing description has provided a complete and informative description of the best methods and apparatus currently contemplated by the inventors for carrying out the invention, through exemplary and non-limiting examples. However, various modifications and variations may become apparent to those skilled in the art when read in conjunction with the accompanying drawings and appended claims, given the foregoing description. Nevertheless, all such and similar modifications to the teachings of exemplary embodiments of the invention will still fall within the scope of the invention.

[0132] It should be noted that the terms “connection,” “coupling,” or any variation thereof mean any direct or indirect connection or coupling between two or more elements, and may cover the presence of one or more intermediate elements between two elements that are “connected” or “coupled” together. The coupling or connection between elements can be physical, logical, or a combination thereof. As adopted herein, as several non-limiting and non-exhaustive examples, two elements may be considered “connected” or “coupled” together by means of one or more wires, cables, and / or printed electrical connections and by means of electromagnetic energy, such as electromagnetic energy having wavelengths in the radio frequency region, microwave region, and optical (visible and invisible) region.

[0133] Furthermore, some features of the preferred embodiments of the invention can be used advantageously without the need for corresponding use of other features. Therefore, the foregoing description should be considered merely as illustrative of the principles of the invention, and not as a limitation thereof.

Claims

1. An apparatus comprising: At least one processor; as well as At least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the device to at least: The predicted beam report is determined by the network nodes of the communication network, and the predicted beam report includes at least one of the following: a dynamic report configuration of confidence information or a dynamic report configuration of probability information. Send the configuration to the user equipment of the communication network; Based on the configuration, information including a predicted beam report is received from the user equipment, wherein the report uses a reuse resource indicator bit to indicate at least one of confidence information or probability information; and Based on the report, the user equipment is provided with a determined indication of the reported K-dimensional changes of the predicted beam for future reported instances.

2. The apparatus of claim 1, wherein at least one of the confidence information dynamic reporting configuration or the probability information dynamic reporting configuration and the predicted beam report comprise: The configuration includes at least one of the following: the optimal K beam prediction report and the optimal K confidence information dynamic report configuration, or the probability information dynamic report configuration.

3. The apparatus of claim 2, wherein the configuration is used to enable dynamic changes in the predicted best K beam reports.

4. The apparatus of claim 3, wherein the configuration includes a predictedTopKreport field, wherein the field is marked as either true or a number of bits N, wherein the N bits indicate the requested best K predicted beams.

5. The apparatus of claim 3, wherein the configuration indication requests either an explicit indication or an implicit indication of the optimal K predicted beams.

6. The apparatus of claim 3, wherein the configuration includes MinConfidenceThreshold, which indicates at least one new indication for selecting the minimum number of the optimal K beams with the highest probability.

7. The apparatus of claim 3, wherein the configuration includes MaxConfidenceThreshold, which is used to indicate at least one new indication for selecting the best K beams with the highest probability, wherein the selected best K beams are less than MaxConfidenceThreshold.

8. The apparatus of claim 4, wherein the information includes a report indicating at least one of the confidence information or probability information as a best K predicted beams using a reused channel state information reference signal resource indicator bit.

9. The apparatus of claim 4, wherein the determined indication is modified based on consideration of at least one of the confidence information or probability information. predicted TopK value Or keep the current value.

10. The apparatus of claim 9, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Check whether the K best predicted beams have at least one of the same confidence information or probability information; and Based on the inspection, the user equipment is requested to report the best K predicted beams.

11. The apparatus of claim 9, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Check whether at least one of the confidence information or probability information possessed by the average level of the best K predicted beams is below a threshold; Based on the inspection, the user equipment is requested to report the best K+M predicted beams, where M is configured at the network node.

12. The apparatus of claim 9, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Check whether at least one of the confidence information or probability information possessed by the average level of the best K predicted beams is greater than a threshold; and Based on the inspection, the user equipment is requested to report the best KM predicted beams, where M is configured at the network node.

13. The apparatus of claim 1, wherein the determined indication is based on checking whether the best K predicted beams have the same confidence information or probability information, at least one of them.

14. The apparatus of claim 13, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Based on the inspection, the user equipment is requested to report the best predicted beam.

15. The apparatus of claim 13, wherein the optimal K predicted beams are calculated based on at least one of the following: predicted TopK value; minConfidenceThreshold; or maxConfidenceThreshold.

16. The apparatus of claim 13, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: The average level of the K best predicted beams is determined to have at least one of the confidence information or probability information below a threshold; and The report describes the optimal K predicted beams and at least M predicted beams, where M is configured at the network node.

17. A method comprising: The predicted beam report is determined by the network nodes of the communication network, and the predicted beam report includes at least one of the following: a dynamic report configuration of confidence information or a dynamic report configuration of probability information. Send the configuration to the user equipment of the communication network; Based on the configuration, information including a predicted beam report is received from the user equipment, wherein the report uses reuse information indicator bits to indicate at least one of confidence information or probability information; and Based on the report, the user equipment is provided with a determined indication of the reported K-dimensional changes of the predicted beam for future reported instances.

18. An apparatus comprising: At least one processor; as well as At least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the device to at least: The user equipment of the communication network receives information including a predicted beam report, the predicted beam report including at least one of a confidence information dynamic report configuration or a probability information dynamic report configuration; Based on the information, a report is provided to network nodes of the communication network, the report using at least one reuse resource indicator bit to indicate at least one of confidence information or probability information. The report identifier uses at least one of spatial or temporal beam prediction and indicates the number of predicted beams to be reported, based on a threshold level used to calculate the predicted beams. The report uses at least one beam from the beam set to indicate the number of indices of at least one bit width used for reporting, or each predicted beam; and Based on the report, receive a determined indication of the reported K-dimensional changes of the predicted beam for future reported instances.

19. The apparatus of claim 18, wherein the information includes a field for at least one of the predictedTopKreport field or predictedTopKvalue = N bits, wherein the N bits indicate at least one of the requested best K predicted beams.

20. The apparatus of claim 18, wherein the threshold level includes at least one of a MinConfidenceThreshold level or a MaxConfidenceThreshold level.

21. The apparatus of claim 20, wherein at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level is used for at least one new indication for selecting the minimum number of the optimal K beams with the highest probability.

22. The apparatus of claim 20, wherein MinConfidenceThreshold is used to indicate at least one new indication for selecting the minimum number of the optimal K beams with the highest probability.

23. The apparatus of claim 20, wherein MaxConfidenceThreshold is used to indicate at least one new indication for selecting the best K beams with the highest probability, wherein the selected best K beams are less than MaxConfidenceThreshold.

24. The apparatus of claim 18, wherein the at least one bit width includes a channel state information reference signal resource indicator bit width.

25. The apparatus of claim 18, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Based on the configuration, a channel state information report is generated as a response to the triggered event.

26. The apparatus of claim 20, wherein the configuration includes a predictedTopKreport field, wherein the predictedTopKreport field is marked as true or one of N bits, wherein N indicates the requested best K predicted beams.

27. The apparatus of claim 26, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Based on the predictedTopKreport field being marked as true, the number of the best K predicted beams to be reported is determined using at least one of spatial or temporal beam prediction and an indication of using at least one of the MinConfidenceThreshold level or the MaxConfidenceThreshold level to calculate the best K predicted beams.

28. The apparatus of claim 27, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: At least K beams are determined from beam set A to indicate at least one of the following: the predicted best K beams for reporting, the index of the channel state information reference signal resource indicator bit, or the bit width.

29. The apparatus of claim 28, wherein the updated channel state information reference signal resource indicator bit width in the channel state information report corresponding to the indicator, and the optimal K predicted beams calculated on each channel state information report, The updated channel state information reference signal resource indicator bit width is used as part of the probability information report used for the dynamic optimal K predicted beam indication.

30. The apparatus of claim 29, wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Determine whether one or more bits in the channel state information reference signal resource indicator bit width are used to indicate at least one of the confidence information or probability information of the best K predicted beams as a new indicator feature, the position of said bits in the channel state information report field, and the information indicated by at least one reuse resource indicator bit. The determination is based at least on the predictedTopKreport field, which is marked as true and has the number of bits N.

31. The apparatus of claim 30, wherein the at least one reuse resource indicator bit is indicated via at least one of: a hard-coded specification or higher-layer configuration of a specific reuse rule for the channel state information reference signal resource indicator bit.

32. The apparatus of claim 30, wherein the confidence information comprises a subset of confidence levels, and wherein the at least one non-transitory memory storing instructions is executed by the at least one processor to cause the apparatus to: Based on the fact that the confidence level of the subset is higher than the remaining confidence level of the subset, at least one of the following is performed: the K dimension is changed to the dimension size of the subset, or the K dimension is changed to a larger K dimension.

33. A method comprising: The user equipment of the communication network receives information including a predicted beam report, the predicted beam report including at least one of a confidence information dynamic report configuration or a probability information dynamic report configuration; Based on the information, a report is provided to network nodes of the communication network, the report using at least one reuse resource indicator bit to indicate at least one of confidence information or probability information. The report identifier uses at least one of spatial or temporal beam prediction and indicates the number of predicted beams to be reported, based on a threshold level used to calculate the predicted beams. The report uses at least one beam from the beam set to indicate the number of indices of at least one bit width used for reporting, or each predicted beam; and Based on the report, receive a determined indication of the reported K-dimensional changes of the predicted beam for future reported instances.

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