Beamforming Failure Detection Using Signal Strength Feedback
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Solution Overview
Problem
Existing beamforming systems require manual detection and correction of failures, leading to prolonged signal degradation and reduced quality of service for users.
Innovation Solution
A dynamic system and method for detecting and correcting beamforming deactivation by monitoring average signal strength and triggering corrective measures, such as resetting antenna line devices or recalibrating antennas, to reactivate beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual detection and correction of beamforming failures is used, then device complexity is reduced, but productivity and response time deteriorate due to prolonged signal degradation
Solution Approach 1:
The system enables self-service by allowing the beamforming system to automatically detect its own failures through monitoring signal strength metrics and triggering corrective actions without human intervention. The system monitors itself and performs self-diagnosis when signal degradation is detected.
Solution Approach 2:
The system implements feedback by continuously monitoring signal strength metrics from user devices and using this information to detect beamforming failures. The monitoring feedback loop triggers automatic corrective actions when degradation thresholds are exceeded, creating a closed-loop control system.
2Ease of operation
If manual correction of beamforming failures is used, then ease of operation is improved, but reliability deteriorates due to prolonged signal degradation affecting users
Solution Approach 1:
The system performs preliminary action by proactively monitoring signal strength metrics and detecting beamforming failures before they significantly impact user experience. Corrective actions are triggered automatically upon detection, preventing prolonged service degradation.
Solution Approach 2:
The system enables self-service by allowing the beamforming system to automatically detect its own failures through monitoring signal strength metrics and triggering corrective actions without human intervention. The system monitors itself and performs self-diagnosis when signal degradation is detected.
3Productivity
If automatic detection and correction systems are implemented, then productivity and reliability are improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining monitoring, detection, diagnosis, and correction functions into a single integrated system. The same infrastructure used for normal beamforming operation is leveraged for failure detection and correction, reducing the need for separate dedicated components.
Solution Approach 2:
The system implements feedback by continuously monitoring signal strength metrics from user devices and using this information to detect beamforming failures. The monitoring feedback loop triggers automatic corrective actions when degradation thresholds are exceeded, creating a closed-loop control system.
4Ease of operation
If manual failure detection is used, then ease of operation is maintained, but loss of time increases due to delayed restoration of signal strength
Solution Approach 1:
The system performs preliminary action by proactively monitoring signal strength metrics and detecting beamforming failures before they significantly impact user experience. Corrective actions are triggered automatically upon detection, preventing prolonged service degradation.
Solution Approach 2:
The system replaces manual mechanical operations with automated electronic monitoring and control. Signal strength metrics are automatically measured, compared against thresholds, and corrective actions are automatically triggered, eliminating the need for manual intervention while reducing response time.
Data Source
AI summary
Methods and systems are provided for dynamically detecting and correcting the deactivation of beamforming from an antenna. One or more users are identified as present within a particular geographic area typically served by beamforming, and the average signal strength of the one or more user devices is monitored. If a threshold level of degradation of the average signal strength is detected, then a beamforming status is determined for one or more of the antennas serving the user device or devices. Based on the determination, corrective measures are taken and beamforming is reactivated.


