Wireless Terminal AI/ML Issue Reporting for Thermal and Resource Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in managing AI/ML model-related issues such as overheating and performance degradation due to unoptimized models, limited hardware resources, and dynamic changes in UE conditions, leading to delays and performance loss.
Innovation Solution
A wireless terminal equipped with processor circuitry determines performance conditions affected by AI/ML models and generates reports to the network, enabling coordinated remedial actions through network-proposed or terminal-proposed solutions to address overheating and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI/ML models are deployed in wireless terminals to improve communication performance and enable intelligent features, then the functionality and intelligence of the terminal are enhanced, but the terminal experiences overheating and performance degradation due to limited hardware resources and computational load
Solution Approach 1:
The patent implements dynamic AI/ML functionality where the terminal can adaptively activate, deactivate, or switch between different AI/ML models based on real-time conditions such as temperature, available resources, and communication requirements. This dynamic approach allows the system to maintain intelligence while preventing overheating by adjusting the computational load adaptively.
Solution Approach 2:
The patent changes operational parameters of AI/ML models including model complexity, processing frequency, and resource allocation based on terminal conditions. By adjusting these parameters dynamically, the system optimizes the balance between AI/ML functionality and thermal management, ensuring performance enhancement without excessive heat generation.
2Productivity
If complex AI/ML models are used to improve processing capabilities and intelligence, then the terminal's computational power and feature richness are enhanced, but the terminal suffers from performance degradation due to limited hardware resources
Solution Approach 1:
The patent segments AI/ML functionality into multiple models with different complexity levels and resource requirements. Instead of using a single complex model, the terminal can select from multiple segmented models appropriate for different scenarios, distributing the computational load and maintaining reliable performance within hardware constraints.
Solution Approach 2:
The patent applies partial action by selectively activating only the necessary AI/ML models and functionalities required for current communication tasks rather than running all available models continuously. This approach maintains high processing capability when needed while ensuring performance stability by avoiding excessive computational burden on limited hardware resources.
3Extent of automation
If the terminal autonomously manages AI/ML model operations to reduce network signaling overhead, then the terminal's autonomy and efficiency are improved, but the network loses visibility and control over terminal performance conditions
Solution Approach 1:
The patent implements a feedback mechanism where the terminal autonomously manages AI/ML operations but continuously reports performance conditions, temperature status, and model operation information to the network. This feedback loop maintains terminal autonomy for efficient local decision-making while preserving network visibility and control for coordinated management and optimization.
Data Source
AI summary
A wireless terminal which communicates over a radio interface with a radio network. The wireless terminal comprises processor circuitry and interface circuitry. The processor circuitry is configured to determine an event which pertains to a wireless terminal performance condition which is affected/influenced at least in part by an active Artificial Intelligence/Machine Learning (AI/ML) model or functionality and to implement a terminal-proposed remedial action configured to implement the wireless terminal performance condition. The processor circuitry is also optionally configured to generate a resolution report message which reports that implementation of the remedial action has resolved the wireless terminal performance condition. The interface circuitry is configured to optionally transmit the report message over the radio interface to the radio network.