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US-12627347-B2 - Method and device for wireless communication

US12627347B2US 12627347 B2US12627347 B2US 12627347B2US-12627347-B2

Abstract

The present application discloses a method and a device for wireless communications, comprising: receiving a first signaling, the first signaling being used for configuring the first node to provide overheating assistance information; and upon reception of the first signaling, transmitting first overheating assistance information as a response to any condition in a first condition set being satisfied; herein, the first condition set comprises an overheating condition being satisfied; the first overheating assistance information comprises assistance information used for CSI report configurations. By transmitting a first signaling and receiving first overheating assistance information, the present application prevents the device from getting overheated, thus ensuring the service quality.

Inventors

  • Yu Chen
  • Xiaobo Zhang

Assignees

  • Apogee 5G Global, LLC

Dates

Publication Date
20260512
Application Date
20230620
Priority Date
20220627

Claims (17)

  1. 1 . A user equipment (UE) for wireless communications, the UE comprising: a transceiver; and a processor, wherein the transceiver and the processor are configured to: transmit, prior to detecting overheating of the UE, a first message indicative of a total computing capability of the UE, receive a first Radio Resource Configuration (RRC) message comprising overheating configuration inormation, receive a second RRC message indicative of a downlink reference signal (RS) resource set, detect overheating of the UE, transmit, based on the overheating configuration information, first overheating assistance information used for one or more Channel State Information (CSI) report configurations, wherein the first overheating assistance information comprises an indication of a lower computing capability of the UE relative to the total computing capability of the UE, measure one or more downlink RS resources from the downlink RS resource set, and generate one or more Artificial Intelligence or Machine Learning (AI/ML) based CSI reports.
  2. 2 . The UE according to claim 1 , wherein the transceiver and the processor are further configured to: determine a maximum number of AI/ML-based CSI report configurations, wherein the first overheating assistance information comprises an indication of the maximum number of AI/ML-based CSI report configurations, and generate the one or more AI/ML-based CSI reports based on an AI/ML-based CSI report configuration.
  3. 3 . The UE according to claim 2 , wherein the transceiver and the processor are further configured to: measure a downlink RS resource subset from the downlink RS resource set, wherein the first overheating assistance information is indicative of the downlink RS resource subset, and wherein the downlink RS resource set comprises at least one RS resource other than the downlink RS resource subset.
  4. 4 . The UE according to claim 2 , wherein the transceiver and the processor are configured to: receive a third RRC message indicative of a second measurement report configuration comprising an accuracy requirement for one or more CSI reports, and wherein the first overheating assistance information includes an indication of one of: a predicting accuracy, a predicting number, a predicting model, a spatial configuration of positioning, or integrity of positioning.
  5. 5 . The UE according to claim 1 , wherein the transceiver and the processor are further configured to: determine a maximum number of indexes, wherein each index is associated with at least one AI/ML-based CSI report configuration, and wherein each AI/ML-based CSI report configuration is used for configuring one AI/ML CSI, and wherein the one or more AI/ML-based CSI reports configured by one or more AI/ML-based CSI report configurations associated with a same index are associated with a same generator, and wherein the first overheating assistance information comprises an indication of the maximum number of indexes, and generate the one or more first typeAI/ML-based CSI reports based on an index and corresponding AI/ML-based CSI report configuration.
  6. 6 . The UE according to claim 5 , wherein the transceiver and the processor are further configured to: measure a downlink RS resource subset from the downlink RS resource set, wherein the first overheating assistance information is indicative of the downlink RS resource subset, and wherein the downlink RS resource set comprises at least one RS resource other than the downlink RS resource subset.
  7. 7 . The UE according to claim 5 , wherein the transceiver and the processor are configured to: receive a third RRC message indicative of a second measurement report configuration comprising an accuracy requirement for one or more CSI reports, and wherein the first overheating assistance information comprises an indicates indication of one of: a predicting accuracy, a predicting number, a predicting model, a spatial configuration of positioning, or integrity of positioning.
  8. 8 . The UE according to claim 1 , wherein the transceiver and processor are further configured to: measure a downlink RS resource subset from the downlink RS resource set, wherein the first overheating assistance information is indicative of the downlink RS resource subset, and wherein the downlink RS resource set comprises at least one RS resource other than the downlink RS resource subset.
  9. 9 . The UE according to claim 1 , wherein the transceiver and the processor are further configured to: receive a third RRC message indicative of a first measurement report configuration, wherein a time requirement for the first measurement report configuration is a first duration, and wherein the first overheating assistance information indicates a second duration, and wherein the second duration is a time requirement preferred by the first measurement report configuration.
  10. 10 . The UE according to claim 9 , wherein the time requirement is a maximum delay for completing training or initialization of a corresponding generator according to the first measurement report configuration.
  11. 11 . The UE according to claim 1 , wherein the transceiver and the processor are further configured to: receiving receive a third RRC message indicative of a second measurement report configuration comprising an accuracy requirement for one or more CSI reports, and wherein the first overheating assistance information comprises an indication of one of: a predicting accuracy, a predicting number, a predicting model, a spatial configuration of positioning, or integrity of positioning.
  12. 12 . The UE according to claim 1 , wherein the transceiver and the processor are further configured to: detect that the UE is not overheating, and transmit second overheating assistance information, used for the one or more CSI report configurations.
  13. 13 . The UE according to claim 1 , wherein a number of indexes is identical to a number of generators of the one or more AI/ML-based CSI reports, and wherein one or more generators are based on AI/ML.
  14. 14 . A method in a user equipment (UE) for wireless communications, the method comprising: transmitting, prior to detecting overheating of the UE, a first message indicative of a total computing capability of the UE; receiving a first Radio Resource Configuration (RRC) message comprising overheating configuration information; receiving a second RRC message indicative of a downlink reference signal (RS) resource set; detecting overheating of the UE; transmitting, based on the overheating configuration information, first overheating assistance information used for one or more Channel State Information (CSI) report configurations, wherein the first overheating assistance information comprises an indication of a lower computing capability of the UE relative to the total computing capability of the UE; measuring one or more downlink RS resources from the downlink RS resource set; and generating one or more Artificial Intelligence or Machine Learning (AI/ML) based CSI reports.
  15. 15 . The method according to claim 14 , further comprising: determining a maximum number of AI/ML-based CSI report configurations, wherein the first overheating assistance information comprises an indication of the maximum number of AI/ML-based CSI report configurations; and generating the one or more AI/ML-based CSI reports based on an AI/ML-based CSI report configuration.
  16. 16 . The method according to claim 14 , further comprising: determining a maximum number of indexes, wherein each index is associated with at least one AI/ML-based CSI report configuration, and wherein each AI/ML-based CSI report configuration is used for configuring one AI/ML CSI, and wherein the one or more AI/ML-based CSI reports configured by one or more AI/ML-based CSI report configurations associated with a same index are associated with a same generator, and wherein the first overheating assistance information comprises an indication of the maximum number of indexes; and generating the one or more AI/ML-based CSI reports based on an index and corresponding AI/ML-based CSI report configuration.
  17. 17 . The method according to claim 14 , further comprising: measuring a downlink RS resource subset from the downlink RS resource set, wherein the first overheating assistance information is indicative of the downlink RS resource subset, and wherein the downlink RS resource set comprises at least one RS resource other than the downlink RS resource subset.

Description

CROSS REFERENCE TO RELATED APPLICATIONS This application claims the priority benefit of Chinese Patent Application No. 202210733683.6, filed on Jun. 27, 2022, the full disclosure of which is incorporated herein by reference. BACKGROUND Technical Field The present application relates to transmission methods and devices in wireless communication systems, and in particular to a method and device for overheating protection, reference signal measurement and reporting, CSI report configurations and Artificial Intelligence (AI) in communications. Related Art Application scenarios of future wireless communication systems are becoming increasingly diversified, and different application scenarios have different performance demands on systems. In order to meet different performance requirements of various application scenarios, the 3rd Generation Partner Project (3GPP) Radio Access Network (RAN) #72 plenary decided to conduct the study of New Radio (NR), or what is called fifth Generation (5G). The work Item (WI) of NR was approved at the 3GPP RAN #75 plenary to standardize the NR. In communications, both Long Term Evolution (LTE) and 5G NR involves correct reception of reliable information, optimized energy efficiency ratio (EER), determination of information validity, flexible resource allocation, elastic system structure, effective information processing on non-access stratum (NAS), and lower traffic interruption and call drop rate, and support to lower power consumption, which play an important role in the normal communication between a base station and a User Equipment (UE), rational scheduling of resources, and also in the balance of system payload, thus laying a solid foundation for increasing throughput, meeting a variety of traffic needs in communications, enhancing the spectrum utilization and improving service quality. Therefore, LTE and 5G are indispensable no matter in enhanced Mobile BroadBand (eMBB), Ultra Reliable Low Latency Communication (URLLC) or enhanced Machine Type Communication (eMTC). And a wide range of requests can be found in terms of Industrial Internet of Things (IIoT), Vehicular to X (V2X), and Device to Device (D2D), Unlicensed Spectrum communications, and monitoring on UE communication quality, network plan optimization, Non Terrestrial Network (NTN) and Terrestrial Network (TN), Dual connectivity system, or combined, radio resource management and multi-antenna codebook selection, as well as signaling design, neighbor management, traffic management and beamforming. Information is generally transmitted by broadcast and unicast, and both ways are beneficial to fulfilling the above requests and make up an integral part of the 5G system. The UE's connection with the network can be achieved directly or by relaying. As the number and complexity of system scenarios increases, more and more requests have been made on reducing interruption rate and latency, strengthening reliability and system stability, increasing the traffic flexibility and power conservation, and in the meantime the compatibility between different versions of systems shall be taken into account for system designing. SUMMARY Many communication scenarios will face the issue of overheating of apparatus, so in order to prevent the terminal from getting damaged or breaking down, a timely handling shall be provided. In conventional techniques, it is generally the baseband chips that result in a terminal's internal overheating, which generally can be avoided by reducing the number of carriers or coding layers corresponding to a multi-antenna system. In conventional techniques, CSI reports and relevant measurements generally do not directly lead to overheating, but with a view to pursuing more accurate CSI reports, or CSI reports yielding smaller overhead, or CSI reports which are predicting, the project of CSI reports based on Artificial Intelligence (AI) or Machine Learning (ML) has been set up in NR Release (R) 18. The applicant finds through researches that AI requires massive computing, and various implementations of AI computing may lead to overheating of the processor, including CPU and GPU, or, it can be assumed that it is the software that results in overheating, since all these are different from traditional UE overheating, the methods routinely used for addressing overheating cannot directly solve the problem of overheating caused by AI missive computing. To address the above problem, the present application provides a solution. It should be noted that although most of the embodiments provided in the present application are targeted at AI/ML, the present application is also applicable to traditional networks, for instance, overheating that arises from a large or great number of CSI reports can also be solved by means of the method proposed by the present application, which is advantageous over conventional practices in ensuring the throughput rate. Furthermore, it should be noted that if no conflict is incurred, embodimen