Predictive Beam Pair Switching in 5G Wireless Networks
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Solution Overview
Problem
In 5G wireless communication networks, the beam refinement processes P2 and P3 are costly in terms of signaling overhead and delay, especially in high-frequency scenarios with many antenna elements, leading to beam failures and the need for costly restarts of the entire beam pair establishment processes.
Innovation Solution
A method where a first radio node predicts the time to failure of a beam pair based on quality values and decides whether to switch to a second beam pair before failure, thereby preventing beam failures and reducing overhead and delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam refinement processes P2 and P3 are performed in 5G wireless networks with many antenna elements, then beamforming accuracy and communication reliability are improved, but signaling overhead and processing delay increase significantly
Solution Approach 1:
The system performs preliminary beam refinement actions by predicting future beam failures before they occur. The prediction mechanism analyzes current beam quality metrics and historical data to forecast when beam failures will happen, allowing the system to proactively switch to alternative beams or adjust beamforming parameters in advance, thereby avoiding the delays associated with reactive beam failure recovery procedures
Solution Approach 2:
The beam refinement process is made dynamic by continuously adapting beamforming parameters based on real-time quality measurements and failure predictions. Instead of static beam configurations, the system dynamically adjusts beam directions, widths, and power levels in response to changing channel conditions and predicted failure scenarios, optimizing the balance between reliability and overhead
2Reliability
If beam refinement processes P2 and P3 are performed in 5G wireless networks with many antenna elements, then beamforming accuracy and communication reliability are improved, but signaling overhead increases
Solution Approach 1:
The invention extracts and separates the prediction function from the traditional beam refinement process. By implementing a dedicated prediction mechanism that operates independently, the system can identify potential beam failures without requiring extensive signaling for every beam adjustment. This extraction allows the main beamforming process to continue with reduced overhead while the prediction module provides guidance only when necessary
Solution Approach 2:
The beam management system performs self-service by using its own measured quality values and historical data to predict failures, eliminating the need for extensive external signaling and coordination. The system autonomously monitors its performance metrics and makes informed decisions about beam maintenance, reducing the signaling overhead that would otherwise be required for network-controlled beam management
3Reliability
If the system monitors beam quality values to detect beam failures, then communication reliability is maintained, but processing complexity and computational overhead increase
Solution Approach 1:
Instead of continuously monitoring all beam parameters at full resolution, the system applies partial monitoring by focusing on key quality metrics that are most predictive of beam failures. The prediction mechanism uses a selective subset of measurements and applies simplified analysis only where needed, reducing computational complexity while maintaining reliable failure detection through targeted monitoring of critical parameters
Data Source
AI summary
A method performed by a first radio node for handling a beam pair with a second radio node is provided. The first radio node receives a first information from one or more other radio nodes. The first information comprises a number of quality values related to a number of beam pairs. The first radio node predicts a time to failure for a first beam pair. The first radio node then decides whether or not there is enough time until the predicted time to failure, for performing a beam pair switch from the first beam pair to a second beam pair. When there is enough time, the first radio node switches to the second beam pair before the predicted time to failure. When there is not enough time, the first radio node prepares an upcoming beam pair failure.