A method for measurement / prediction reporting in wireless communication system with artificial intelligence functionalities
AI-assisted differential reporting in wireless communication systems addresses inefficiencies in network resource allocation by predicting future conditions and optimizing reporting, enhancing network management and mobility.
WO2026118323A1 Publication Date: 2026-06-11ZTE CORP
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Patent Information
- Application Number
- PCT/CN2025/085647
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-03-28
- Publication Date
- 2026-06-11
AI Technical Summary
Technical Problem
Current wireless communication systems require resource-intensive and reactive mobility management that does not consider future network condition changes, leading to inefficiencies in network resource allocation and mobility provisioning.
Method used
Implementing AI-assisted differential reporting of network measurements and predictions, using AI/ML models to predict future network conditions and reduce reporting overhead by differentially reporting measurements and predictions based on historical and future data.
Benefits of technology
Enhances network resource management and mobility provisioning by reducing reporting overhead and enabling proactive network adjustments based on AI-driven predictions.
✦ Generated by Eureka AI based on patent content.
Abstract
This disclosure is directed generally to intelligent wireless communication networks and particularly to timing and contents for reporting measurements and Artificial Intelligence (AI) prediction of network measurement objects in order to reduce reporting overhead and facilitate improvement of network resource and mobility provisioning. For example, differential reporting may be implemented for reporting network measurements or predictions of a plurality of time instances at a configurable cell set level. For a particular measurement object, a reference measurement or prediction may be identified within the cell set and other measurements or predictions in the cell set may be differentially reported relative to the reference. Further, various schemes are disclosed for determining a timing and contents for reporting the measurements and / or predictions depending on the availability of historical measurements / predictions and future predictions.
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