AIML Lifecycle Feedback Granularity Switching in WTRUs
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Solution Overview
Problem
Wireless transmit/receive units (WTRUs) using artificial intelligence/machine language (AIML) models face challenges in providing feedback on lifecycle management stages at different granularities, requiring systems and methods that enable flexible reporting ID granularities for AIML models in various environments.
Innovation Solution
A WTRU processor is configured to receive and transmit feedback using both local and global AIML lifecycle management stage reporting ID granularities, allowing for switching between these granularities as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If local LCM stage reporting ID granularity is used for feedback reporting, then detailed model-level information can be provided, but resource consumption increases
Solution Approach 1:
The system dynamically switches between local and global LCM stage reporting ID granularities based on operational needs. The WTRU can transition from detailed local granularity (for specific AIML models) to aggregated global granularity (for overall system performance), allowing flexible adaptation of reporting precision to match current resource availability and monitoring requirements.
2Use of energy by moving object
If global LCM stage reporting ID granularity is used for feedback reporting, then resource utilization is optimized, but detailed model-level information is lost
Solution Approach 1:
The feedback reporting system is segmented into two distinct granularity levels: local LCM stage reporting ID for detailed model-specific feedback and global LCM stage reporting ID for aggregated system-level feedback. This segmentation allows the system to selectively apply appropriate reporting precision to different contexts, maintaining detailed information where needed while conserving resources in other areas.
3Adaptability or versatility
If flexible reporting ID granularities are implemented, then adaptability to different environments is improved, but system complexity increases
Solution Approach 1:
The WTRU is designed with universal capability to handle both local and global LCM stage reporting ID granularities within a single feedback reporting framework. This multi-functionality allows the same system to operate effectively across diverse environments (resource-constrained and resource-abundant) without requiring separate specialized systems, managing complexity through unified design rather than proliferation of separate components.
Data Source
AI summary
A wireless transmit/receive unit (WTRU) comprising a processor configured to receive configuration information comprising information on one or more artificial intelligence/machine language (AIML) lifecycle management (LCM) stages associated with an AIML model and information on a local LCM stage reporting identification (ID) granularity and a global LCM stage reporting ID granularity for reporting on the one or more AIML LCM stages, transmit feedback for a first AIML LCM stage using the local LCM stage reporting ID granularity, receive an indication to switch to the global LCM stage reporting ID granularity, transmit an LCM stage reporting ID granularity switch confirmation message, and transmit feedback for a second AIML LCM stage using the global LCM stage reporting ID granularity.