Method and apparatus for controlling performance monitoring operation for ai / ML model in wireless communication system
The proposed method for monitoring AI/ML model performance in wireless communication systems addresses accuracy issues by measuring and reporting reference signal quality, improving prediction and resource management for advanced network operations.
WO2026106411A1PCT designated stage Publication Date: 2026-05-21INDUSTRY UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY
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Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- INDUSTRY UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY
- Filing Date
- 2025-11-18
- Publication Date
- 2026-05-21
AI Technical Summary
Technical Problem
The accuracy of AI/ML models in wireless communication systems is affected by changes in the wireless environment, necessitating effective performance monitoring operations to ensure reliable prediction and estimation of channel conditions.
Method used
A method and apparatus for performance monitoring of AI/ML models in wireless communication systems, involving CSI report configuration, quality measurement of reference signals, and transmission of monitoring results between terminals and base stations.
Benefits of technology
Enhances prediction accuracy and enables efficient resource management, contributing to the evolution of intelligent and converged networks with ultra-high speed, ultra-low latency, and global coverage.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure KR2025019012_21052026_PF_FP_ABST
Abstract
A method by which a terminal carries out a performance monitoring operation for an AI / ML model, and an apparatus may be provided, the method comprising the steps of: receiving, from a base station, channel state information (CSI) report configuration information for monitoring the performance of an AI / ML model; measuring, on the basis of the CSI report configuration information, the quality of a monitoring reference signal set including two or more monitoring reference signals transmitted by the base station; and transmitting, to the base station, performance monitoring result information generated by using inference result information for a predicted reference signal set output by using the AI / ML model and quality measurement result information for the monitoring reference signal set.
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