AI Capability Signaling for Reduced UE Transmission Overhead

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Solution Overview

Problem

The existing communication systems face inefficiencies due to the transmission of redundant AI capability information from user equipment (UE) to base stations, leading to increased overheads and unnecessary data exchange.

Innovation Solution

A method and apparatus that involve a communication apparatus filtering and requesting only the necessary AI capability parameters from the UE, reducing redundant information transmission by determining and sending only the required AI function capabilities to the network side.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If the UE sends all AI capability information to the base station, then the base station receives complete capability information, but transmission overheads increase and redundant information is transmitted

Engineering Contradiction:
Improvecapability information completenessVSAvoidtransmission overhead
Core Design Contradiction:
Loss of informationVSLoss of energy

Solution Approach 1:

The base station extracts only the necessary AI capability parameters from the complete capability information sent by the UE. By identifying and requesting only the specific parameters needed for AI function implementation, the system eliminates redundant information transmission while ensuring all required capability data is received.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The base station performs preliminary identification of required AI capability parameters before the UE transmits complete capability information. By pre-determining which parameters are needed, the base station enables the UE to send only relevant information, reducing transmission overhead while maintaining information completeness.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If the UE sends all AI capability information to the base station, then the base station has all capability data, but data exchange efficiency decreases

Engineering Contradiction:
Improvecapability information completenessVSAvoiddata exchange efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The base station extracts only the necessary AI capability parameters from the complete capability information sent by the UE. By identifying and requesting only the specific parameters needed for AI function implementation, the system eliminates redundant information transmission while ensuring all required capability data is received.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The base station performs preliminary identification of required AI capability parameters before the UE transmits complete capability information. By pre-determining which parameters are needed, the base station enables the UE to send only relevant information, reducing transmission overhead while maintaining information completeness.

Inventive Principle:
Principle #10Preliminary action

3Loss of energy

If the base station requests only necessary AI capability parameters, then transmission overheads are reduced, but the base station must perform additional screening operations

Engineering Contradiction:
Improvetransmission overheadVSAvoidscreening process complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The base station autonomously identifies and determines the AI capability parameters it needs without requiring complex external coordination. By performing self-service screening based on its own AI function requirements, the base station simplifies the overall process while reducing transmission overhead.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The base station performs preliminary identification of required AI capability parameters before the UE transmits complete capability information. By pre-determining which parameters are needed, the base station enables the UE to send only relevant information, reducing transmission overhead while maintaining information completeness.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250247721A1Communication method and apparatus
Publication Date: 2025.07.31 HUAWEI TECH CO LTD
  • US20250247721A1 patent drawing
  • US20250247721A1 patent drawing
  • US20250247721A1 patent drawing

AI summary

A communication method includes receiving, by a first communication apparatus, first information, determining second information based on the first information, sending the second information to the terminal device, and receiving third information from the terminal device. The first information includes first sub-information. The first sub-information is useable to indicate a first artificial intelligence (AI) function supported by a terminal device. The second information is useable to indicate an AI function that the terminal device is requested to provide. The third information includes a capability parameter corresponding to the AI function indicated by the second information.