UE Blockage Prediction Reporting for Reliable Wireless Links
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Solution Overview
Problem
Existing wireless communication systems lack effective methods for predicting blockage events, such as obstructions that can impact signal quality, which can lead to reduced performance and connectivity issues.
Innovation Solution
A user equipment (UE) is equipped with a model that generates predicted blockage information based on measurement data, allowing it to transmit reports indicating the likelihood, timing, severity, and direction of potential blockage events, using reference signals to anticipate and mitigate interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockage prediction is implemented using measurement information and models, then communication reliability is improved, but device complexity increases
Solution Approach 1:
The system performs blockage prediction in advance by analyzing measurement information from reference signals and generating predicted blockage reports before actual blockage events occur. This allows the network to proactively prepare mitigation strategies, improving communication reliability while managing complexity through scheduled prediction operations rather than continuous monitoring.
Solution Approach 2:
A prediction model acts as an intermediary between raw measurement information and blockage prediction results. The model processes measurement data from reference signals and generates structured predicted blockage reports, simplifying the overall system architecture while maintaining high reliability through sophisticated analysis capabilities.
2Productivity
If detailed predicted blockage information is reported, then network performance management is improved, but loss of information increases due to reporting overhead
Solution Approach 1:
The system extracts only the most critical blockage prediction parameters from comprehensive measurement data, such as predicted blockage occurrence, timing, severity, and direction. This selective reporting approach provides sufficient network performance management information while minimizing reporting overhead and avoiding transmission of redundant data.
Solution Approach 2:
The predicted blockage report uses optimized parameter representations, such as encoding direction values and severity levels in compact formats. This reduces the information overhead while maintaining the ability to effectively manage network performance through the essential prediction parameters.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may obtain measurement information regarding a set of reference signals. The UE may generate, using a model, predicted blockage information based at least in part on the measurement information. The UE may transmit a report indicating the predicted blockage information, wherein the report indicates at least one of: a prediction window associated with the predicted blockage information, a time associated with an occurrence of a predicted blockage event, a severity value associated with the predicted blockage event, or a direction value associated with the predicted blockage event. Numerous other aspects are described.