Terminal AI Capability Signaling for Adaptive Network Configuration
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Solution Overview
Problem
Interoperability between network devices and terminals with AI capabilities is not friendly, leading to low communication efficiency due to the inability of network devices to adapt to changes in the AI capabilities of terminals in a timely manner.
Innovation Solution
Terminals with AI capabilities send AI capability information when changes occur, allowing network devices to determine and configure matching services and configurations based on the updated AI capabilities, using signaling such as MAC CE or RRC signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If terminals with AI capabilities process more data locally, then processing speed and decision-making capability improve, but communication efficiency deteriorates due to inability of network devices to adapt to AI capability changes
Solution Approach 1:
The terminal feeds back AI capability information to the network device through RRC signaling or MAC CE when AI capabilities change. The network device uses this feedback to determine and configure matching services and parameters, enabling dynamic adaptation to terminal AI capability changes and improving communication efficiency
Solution Approach 2:
The patent enables dynamic configuration of network services and parameters based on real-time AI capability information from terminals. The network device can adjust communication configurations dynamically according to the terminal's AI processing capabilities, transforming the static network configuration into a dynamic adaptive system
2Measurement precision
If terminals send AI capability information frequently, then network adaptation accuracy improves, but signaling overhead increases
Solution Approach 1:
The terminal sends AI capability information periodically or event-triggered when capabilities change, rather than continuously. This periodic reporting mechanism maintains accurate network knowledge of terminal capabilities while minimizing unnecessary signaling overhead during stable operation periods
3Productivity
If network devices configure services based on real-time AI capability changes, then communication efficiency improves, but system complexity increases
Solution Approach 1:
The terminal autonomously determines its own AI capability information and initiates the reporting process to the network device without requiring complex network-side capability detection mechanisms. This self-service approach simplifies the overall system complexity while enabling efficient adaptive configuration
Data Source
AI summary
The present disclosure relates to a communication processing method, a communication processing apparatus, and a storage medium. The communication processing method includes: in response to changes in the AI capabilities of a terminal, sending AI capability information, wherein the AI capability information includes information related to the changes in the AI capabilities of the terminal.