CN-122003901-A - Terminal, wireless communication method and base station
Abstract
The terminal according to one aspect of the present disclosure includes a receiving unit that receives information for identifying a model associated with a functionality or a functionality associated with the model, and a control unit that determines an applied model or functionality based on the information, and determines an operation related to the model and a simultaneous operation of operations related to the functionality based on a specific rule. According to an aspect of the present disclosure, appropriate overhead reduction/channel estimation/utilization of resources can be achieved.
Inventors
- Koga shuneko
- NAGATA AKIRA
- YOU LUHUA
- PI QIPING
- WANG JING
- CHEN LAN
Assignees
- 株式会社NTT都科摩
Dates
- Publication Date
- 20260508
- Application Date
- 20230816
Claims (6)
- 1. A terminal, comprising: a receiving unit for receiving information for identifying a model associated with the functionality or the functionality associated with the model, and A control unit for judging the model or the functionality of the application based on the information, The control unit determines simultaneous operations of the operations related to the model and the operations related to the functionality based on a specific rule.
- 2. The terminal of claim 1, wherein, In the case where the simultaneous operation of the operation related to the model and the operation related to the functionality is not supported, the control unit determines the selection of any one of the operation related to the model and the operation related to the functionality based on the level of cooperation of the functionality and the model.
- 3. The terminal of claim 1, wherein, In the case where the operation related to the model and the operation related to the functionality are not supported at the same time, the control unit determines selection of any one of the operation related to the model and the operation related to the functionality based on the supported use case, feature, or requested model information.
- 4. The terminal of claim 1, wherein, In case of simultaneous operation supporting the operations related to the model and the operations related to the functionality, the control unit controls the sending of reports for the identification of the model or the functionality.
- 5. A wireless communication method for a terminal includes: A step of receiving information for identifying a model associated with the functionality or the functionality associated with the model, and A step of judging a model or a functionality of the application based on the information, The terminal determines, based on a specific rule, simultaneous operations of the operations related to the model and the operations related to the functionality.
- 6. A base station, comprising: A transmitting unit for transmitting information for identifying the model associated with the functionality or the functionality associated with the model, and A receiving unit that receives a signal transmitted based on a model or functionality of an application object determined based on the information, The receiving unit receives a signal transmitted based on a simultaneous operation of an operation related to the model and an operation related to the functionality, which are determined according to a specific rule.
Description
Terminal, wireless communication method and base station Technical Field The present disclosure relates to a terminal, a wireless communication method, and a base station in a next generation mobile communication system. Background In a universal mobile telecommunications system (Universal Mobile Telecommunications System (UMTS)) network, long term evolution (Long Term Evolution (LTE)) has been standardized for the purpose of further high-speed data rates, low latency, and the like (non-patent document 1). Further, for the purpose of further large capacity, advancement, and the like of LTE (third generation partnership project (Third Generation Partnership Project (3 GPP (registered trademark))) releases (Release (rel.)) 8, 9), LTE-Advanced (3 GPP rel.10-14) has been standardized. Subsequent systems of LTE (e.g., also referred to as fifth generation mobile communication system (5 th generation mobile communication system (5G)), 5g+ (plus), sixth generation mobile communication system (6 th generation mobile communication system (6G)), new Radio (NR)), 3GPP Rel. 15 later, and the like have also been studied. Prior art literature Non-patent literature Non-patent document 1:3GPP TS 36.300 V8.12.0 "Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 8)",2010, month 4 Disclosure of Invention Problems to be solved by the invention Regarding future wireless communication technologies, flexible use of artificial intelligence (ARTIFICIAL INTELLIGENCE (AI)) technologies such as machine learning (MACHINE LEARNING (ML)) is being studied for control, management, etc. of networks/devices (devices). As an example of the use of the AI model, spatial Domain (DL) beam prediction, temporal DL beam prediction, positioning, and the like are being studied. Such Beam prediction methods may also be referred to as AI-based Beam prediction (Beam reporting), AI-based positioning, AI-based Beam Management (BM), and the like. The DL beam prediction in time may also be referred to as, for example, time domain channel state information (CHANNEL STATE Information (CSI)) prediction (prediction) or the like. In such flexible use of AI, various kinds of life cycle management (LIFE CYCLE MANAGEMENT (LCM)) are being studied, but there are cases where such a study is insufficient. If this study is insufficient, appropriate overhead reduction, channel estimation, and resource utilization cannot be achieved, and there is a concern that improvement in communication throughput and communication quality is suppressed. It is therefore an object of the present disclosure to provide a terminal, a wireless communication method, and a base station capable of achieving appropriate overhead reduction/channel estimation/utilization of resources. Means for solving the problems The terminal according to one aspect of the present disclosure includes a receiving unit that receives information for identifying a model associated with a functionality or a functionality associated with the model, and a control unit that determines an applied model or functionality based on the information, and determines an operation related to the model and a simultaneous operation of operations related to the functionality based on a specific rule. Effects of the invention According to an aspect of the present disclosure, appropriate overhead reduction/channel estimation/utilization of resources can be achieved. Drawings Fig. 1 is a diagram showing an example of a framework for management of AI models. Fig. 2 is a diagram showing an example of the specification of the AI model. Fig. 3 is a diagram showing an example of the correlation between the model and the functionality according to the first embodiment. Fig. 4A and 4B are diagrams showing an example of the association between the model and the functionality according to the second embodiment. Fig. 5A and 5B are diagrams showing an example of the association between the model and the functionality according to the second embodiment. Fig. 6A to 6C are diagrams showing a transition of association of LCMs supported by a UE (terminal). Fig. 7 is a diagram showing an example of association of LCMs supported by the UE according to the third embodiment. Fig. 8 is a diagram showing an example of association of LCMs supported by the UE according to the third embodiment. Fig. 9 is a diagram showing an example of association of LCMs supported by the UE according to the third embodiment. Fig. 10A and 10B are diagrams showing an example of the association between the model and the functionality according to the fourth embodiment. Fig. 11A and 11B are diagrams showing an example of the association between the model and the functionality according to the fourth embodiment. Fig. 12A and 12B are diagrams showing an example of the association between the model and the functionality according to the fourth embodiment. Fig. 13A and 13B are dia