AI Communication Mode Switching for Inference Performance Drift
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Solution Overview
Problem
The inference performance of artificial intelligence (AI) models in radio air interfaces is adversely affected by real-time changes in communication environments, leading to suboptimal communication performance.
Innovation Solution
A communication method and apparatus that switches from AI mode to non-AI mode when the inference performance of AI models decreases to meet certain preset conditions, ensuring optimal communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI mode is used for communication, then communication performance can be optimized, but inference performance deteriorates due to real-time changes in communication environments
Solution Approach 1:
The system dynamically switches between AI mode and non-AI mode based on real-time monitoring of inference performance. When inference performance meets preset conditions, the system transitions from AI mode to non-AI mode, making the communication system adaptable to changing environments while maintaining optimal performance
Solution Approach 2:
The system continuously monitors inference performance of the AI model and uses this feedback to determine mode switching. The preset conditions for switching are based on monitored inference performance metrics, creating a closed-loop control system that adjusts communication mode based on actual performance feedback
2Adaptability or versatility
If AI model inference is performed in real-time communication, then intelligent communication is achieved, but performance degradation occurs due to environmental changes
Solution Approach 1:
The communication system dynamically adjusts its operational mode based on real-time inference performance. The system can transition between AI mode (for intelligent communication) and non-AI mode (for stable performance), allowing it to adapt to environmental changes while maintaining reliability
Solution Approach 2:
The system changes the operational parameter (communication mode) based on inference performance conditions. By switching between AI mode and non-AI mode, the system adjusts its behavior to maintain reliable communication under varying environmental conditions
Data Source
AI summary
A communication method and apparatus, and a storage medium. The method comprises: in response to detecting a deterioration in the inference performance of an AI model during communication of a terminal in an AI mode, and when the inference performance of the AI model deteriorates to a level meeting a preset condition, switching to a non-AI mode to perform communication.