AI Capability Reporting for Adaptive Wireless Network Access
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Solution Overview
Problem
Interoperability between network devices and terminals with AI capabilities is not friendly, leading to low communication efficiency, as the network devices cannot adapt quickly to changes in the terminal's AI capabilities.
Innovation Solution
Terminals with AI capabilities report AI capability information when changes occur, allowing network devices to adjust configurations and services accordingly, using MAC CE or RRC signaling to facilitate seamless communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If terminals with AI capabilities process more data and make quick feedback, then processing capability is improved, but interoperability with network devices deteriorates
Solution Approach 1:
The terminal feeds back AI capability information to the network device when the AI capability changes. This feedback mechanism enables the network device to adapt its configurations and services to match the terminal's current AI capabilities, resolving the interoperability issue while maintaining high processing capability
Solution Approach 2:
The terminal autonomously monitors its own AI capability changes and initiates reporting when changes occur. This self-service approach allows the terminal to manage its own capability information without requiring external probing, improving both processing efficiency and interoperability
2Adaptability or versatility
If network devices use traditional communication protocols, then compatibility is maintained, but communication efficiency with AI-capable terminals deteriorates
Solution Approach 1:
The communication protocol is made dynamic by introducing event-triggered AI capability reporting. Instead of static periodic reporting or continuous monitoring, the system adapts the reporting behavior based on actual capability changes, improving communication efficiency while maintaining compatibility
Solution Approach 2:
The reporting behavior parameter changes from periodic or on-demand to event-triggered based on AI capability changes. This parameter adjustment optimizes communication efficiency by reporting only when necessary, while maintaining protocol compatibility through standard MAC CE or RRC signaling mechanisms
Data Source
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AI summary
The present disclosure relates to a communication processing method, a communication processing apparatus, and a storage medium. The communication processing method comprises: in response to changes in the AI capabilities of a terminal, sending AI capability information, wherein the AI capability information comprises information related to the changes in the AI capabilities of the terminal. The present disclosure allows a terminal equipped with AI capabilities to select a wireless network that matches the AI capabilities thereof for access, which improves the usage efficiency for AI capabilities between the terminal and network devices.