IP Library › Granted Patent US 12671980
Granted Patent B2
US 12671980 · App. 18/007,946 · Granted Jun 30, 2026

Information transmission methods and apparatuses, and communication devices and storage medium

Inventor: Wei Hong (Beijing, CN)
Assignee: Beijing Xiaomi Mobile Software Co., Ltd.
H04W8/22H04W76/20
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Quick Facts
Patent No.
US 12671980
App. No.
18/007,946
Granted
Jun 30, 2026
Kind
B2
Abstract

Information transmission methods, apparatuses, communication devices and non-transitory computer readable storage medium that enable a user equipment (UE) to report artificial intelligence (AI) capability information indicating an AI capability of the UE to a base station.

Claims (74)

1 . An information transmission method, performed by a user equipment (UE), and comprising:

in response to receiving a radio resource control (RRC) signaling carrying an artificial intelligence (AI) capability enquiry request, reporting AI capability information indicating an AI capability of the UE to a base station comprises:

reporting the AI capability information indicating a hardware AI capability and a software AI capability of the UE to the base station,

wherein the hardware AI capability and the software AI capability are used by the base station to determine an AI service allocated to the UE,

wherein the software AI capability comprises a type of an AI application program interface currently possessed by the UE; and

receiving the software AI capability sent by the base station based on the hardware AI capability of the UE;

wherein the RRC signaling carrying the AI capability enquiry request comprises:

a UECapabilityEnquiry signaling, wherein the UECapabilityEnquiry signaling comprises a first information element (IE) and a second IE, wherein the first IE carries the AI capability enquiry request and the second IE carries a network capability enquiry request.

2 . The information transmission method of claim 1 ,

wherein the hardware AI capability comprises:

a computing capability parameter of a processor of the UE;

wherein the computing capability parameter of the processor of the UE comprises at least one of:

a computing capability parameter of the processor of the UE for integers, or

a computing capability parameter of the processor of the UE for floats.

3 . The information transmission method of claim 2 , wherein the computing capability parameter of the processor of the UE comprises at least one of:

a computing rate; or

a ratio of the computing rate to power consumption;

wherein the computing rate comprises at least one of a maximum computing rate or a minimum computing rate supported by the processor of the UE.

4 . The information transmission method of claim 2 , wherein the software AI capability further comprises:

an on-device AI model currently possessed by the UE.

5 . The information transmission method of claim 4 , wherein reporting the AI capability information indicating the AI capability of the UE to the base station comprises:

reporting the AI capability information indicating an identifier of the on-device AI model supported by the UE to the base station.

6 . The information transmission method of claim 1 , wherein reporting the AI capability information indicating the AI capability of the UE to the base station comprises at least one of:

reporting overall AI capability information indicating an overall AI capability of the UE to the base station; or

reporting remaining AI capability information indicating a remaining AI capability of the UE to the base station.

7 . The information transmission method of claim 1 , wherein reporting the AI capability information indicating the AI capability of the UE to the base station comprises:

sending a radio resource control (RRC) signaling carrying the AI capability information to the base station;

wherein the RRC signaling carrying the AI capability information comprises one of:

a UE-Evolved Universal Terrestrial Radio Access (EUTRA)-Capability signaling; or

a UE-New Radio (NR)-Capability signaling.

8 . An information transmission method, performed by a base station, comprising:

sending a radio resource control (RRC) signaling carrying an artificial intelligence (AI) capability enquiry request to a user equipment (UE);

receiving AI capability information reported by the UE indicating an AI capability of the UE in response to the AI capability enquiry request;

based on the AI capability information, allocating an AI service corresponding to the AI capability to the UE,

wherein the receiving the AI capability information reported by the UE indicating the AI capability of the UE comprises:

receiving the AI capability information reported by the UE indicating a hardware AI capability and a software AI capability of the UE,

wherein the based on the AI capability information, allocating the AI service corresponding to the AI capability to the UE comprises:

allocating an AI service corresponding to the hardware AI capability and the software AI capability to the UE,

wherein the software AI capability comprises a type of an AI application program interface currently possessed by the UE; and

sending the software AI capability to the UE based on the hardware AI capability of the UE;

wherein the RRC signaling carrying the AI capability enquiry request comprises:

a UECapabilityEnquiry signaling, wherein the UECapabilityEnquiry signaling comprises a first information element (IE) and a second IE, wherein the first IE carries the AI capability enquiry request and the second IE carries a network capability enquiry request.

9 . The information transmission method of claim 8 , wherein receiving the AI capability information reported by the UE indicating the AI capability of the UE comprises:

wherein the hardware AI capability comprises:

a computing capability parameter of a processor of the UE;

wherein the computing capability parameter of the processor of the UE comprises at least one of:

a computing capability parameter of the processor of the UE for integers, or

a computing capability parameter of the processor of the UE for floats.

10 . The information transmission method of claim 9 , wherein the computing capability parameter of the processor of the UE further comprises at least one of:

a computing rate; or,

a ratio of the computing rate to power consumption;

wherein the computing rate comprises at least one of a maximum computing rate or a minimum computing rate supported by the processor of the UE.

11 . The information transmission method of claim 9 , wherein the software AI capability further comprises:

an on-device AI model currently possessed by the UE.

12 . The information transmission method of claim 11 , wherein receiving the AI capability information reported by the UE indicating the AI capability of the UE comprises:

receiving the AI capability information reported by the UE indicating an identifier of the on-device AI model; and

based on the identifier, determining the on-device AI model supported by the UE.

13 . The information transmission method of claim 8 , wherein receiving the AI capability information reported by the UE indicating the AI capability of the UE comprises at least one of:

receiving overall AI capability information reported by the UE indicating an overall AI capability of the UE; or,

receiving remaining AI capability information reported by the UE indicating a remaining AI capability of the UE.

14 . The information transmission method of claim 8 , wherein receiving the AI capability information reported by the UE indicating the AI capability of the UE comprises:

receiving a radio resource control (RRC) signaling carrying the AI capability information;

wherein the RRC signaling carrying the AI capability information comprises one of:

a UE-Evolved Universal Terrestrial Radio Access (EUTRA)-Capability signaling; or

a UE-New Radio (NR)-Capability signaling.

15 . A base station, comprising a processor, a transceiver, a memory and an executable program stored in the memory and run by the processor, wherein the executable program when executed by the processor cause the processor to perform the information transmission method of claim 8 .

16 . A user equipment (UE), comprising a processor, a transceiver, a memory and an executable program stored in the memory and run by the processor, wherein the executable program when executed by the processor cause the processor to perform operations comprising:

in response to receiving a radio resource control (RRC) signaling carrying an artificial intelligence (AI) capability enquiry request, reporting AI capability information indicating an AI capability of the UE to a base station comprises:

reporting the AI capability information indicating a hardware AI capability and a software AI capability of the UE to the base station,

wherein the hardware AI capability and the software AI capability are used by the base station to determine an AI service allocated to the UE,

wherein the software AI capability comprises a type of an AI application program interface currently possessed by the UE; and

receiving the software AI capability sent by the base station based on the hardware AI capability of the UE;

wherein the RRC signaling carrying the AI capability enquiry request comprises:

a UECapabilityEnquiry signaling, wherein the UECapabilityEnquiry signaling comprises a first information element (IE) and a second IE, wherein the first IE carries the AI capability enquiry request and the second IE carries a network capability enquiry request.