CN-122003906-A - Terminal, wireless communication method and base station

Abstract

A terminal according to one embodiment of the present disclosure includes a receiving unit that receives an instruction 1 related to a model Identifier (ID) and an instruction 2 related to a function, and a control unit that performs at least one of an assumption related to the instruction 1 and an assumption related to the instruction 2 based on whether 1 function is associated with 1 or a plurality of model identifiers. According to one aspect of the present disclosure, optimal overhead reduction/channel estimation/utilization of resources can be achieved.

Inventors

• Koga shuneko
• HARADA HIROYASU
• NAGATA AKIRA
• LIU LIU
• WANG XIN
• YOU LUHUA
• PI QIPING

Assignees

• 株式会社NTT都科摩

Dates

Publication Date

20260508

Application Date

20241003

Priority Date

20231011

Claims (5)

1. 1. A terminal, comprising: A receiving unit for receiving the 1 st indication related to the model identifier, i.e. the model ID, and the 2 nd indication related to the functionality, and A control unit that performs at least one of a scenario related to the 1 st instruction and a scenario related to the 2 nd instruction based on whether 1 functionality is associated with 1 or a plurality of model identifiers.
2. 2. The terminal of claim 1, wherein, After the period 1 has elapsed from the indication 1, the control unit activates a functionality associated with a model ID based on the indication 1.
3. 3. The terminal of claim 1, wherein, After the 2 nd period from the reception of the 2 nd instruction, until after the 1 st period from the 1 st instruction, the control unit activates a functionality associated with a specific model ID.
4. 4. A wireless communication method for a terminal includes: A step of receiving an indication 1 related to a model identifier, i.e. a model ID, and an indication 2 related to functionality, and Controlling at least one of a concept related to the 1 st indication and a concept related to the 2 nd indication based on whether 1 functionality is associated with 1 or more model identifiers.
5. 5. A base station, comprising: a transmitting unit for transmitting the 1 st indication related to the model ID, which is the model identifier, and the 2 nd indication related to the functionality, and A control unit that instructs at least one of the scenario related to the 1 st instruction and the scenario related to the 2 nd instruction based on whether 1 functionality is associated with 1 or a plurality of model identifiers.

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 network (Universal Mobile Telecommunications System (UMTS)) network, long term evolution (Long Term Evolution (LTE)) is 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, high altitude, and the like of LTE (third generation partnership project (Third Generation Partnership Project (3 GPP (registered trademark))) versions (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 and so on) 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, there is a study on flexible use of artificial intelligence (ARTIFICIAL INTELLIGENCE (AI)) technology such as machine learning (MACHINE LEARNING (ML)) in control, management, and the like of networks/devices. As application scenarios (use cases) for flexible use of the AI model, spatial Domain (DL) beam prediction, temporal (DL beam prediction, and the like are being studied. Such a Beam prediction method may also be referred to as AI-based Beam prediction (Beam reporting), AI-based Beam Management (BM), or the like. The DL beam prediction of 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, introduction of a plurality of kinds of life cycle management (LIFE CYCLE MANAGEMENT (LCM)) is studied, but there are cases where such a study is insufficient. If the study is insufficient, the optimum overhead reduction, channel estimation, and resource utilization cannot be performed, and there is a concern that the improvement of 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 optimal overhead reduction/channel estimation/resource utilization. Means for solving the problems A terminal according to one embodiment of the present disclosure includes a receiving unit that receives an instruction 1 related to a model Identifier (ID) and an instruction 2 related to a function, and a control unit that performs at least one of an assumption related to the instruction 1 and an assumption related to the instruction 2 based on whether 1 function is associated with 1 or a plurality of model identifiers. Effects of the invention According to one aspect of the present disclosure, optimal 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. 2A and 2B are diagrams showing an example of a plurality of scenes with respect to transparency of a model. Fig. 3 is a diagram showing an example of the reception of the instruction/setting of the function/model ID according to the second embodiment. Fig. 4 is a diagram showing an example of the reception of the instruction/setting of the function/model ID according to the third embodiment. Fig. 5 is a diagram showing an example of the reception of the instruction/setting of the function/model ID according to the fourth embodiment. Fig. 6 is a diagram showing an example of a schematic configuration of a radio communication system according to an embodiment. Fig. 7 is a diagram showing an example of a configuration of a base station according to an embodiment. Fig. 8 is a diagram showing an example of a configuration of a user terminal according to an embodiment. Fig. 9 is a diagram showing an example of a hardware configuration of a base station and a user terminal according to an embodiment. Fig. 10 is a diagram showing an example of a vehicle according to an embodiment. Detailed Description Application of artificial intelligence (ARTIFICIAL INTELLIGENCE (AI)) technology in wireless communications Regarding future wireless communication technologies, there is a study on flexible use of AI technologies such as machine learning (MACHINE LEARNING (ML)) in control, management, and the like of networks/devices. For examp