UHF White Space Signal Detection for Video Interference Mitigation
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Solution Overview
Problem
Wireless regional area networks and other emerging technologies can cause interference with digital television channels by emitting signals in ultra high frequency (UHF) white spaces, leading to picture and audio impairments, and tuners can overload, resulting in pixilation and freezing of video and audio.
Innovation Solution
A system and method are implemented at video head-ends of video distribution networks to detect signals in UHF white spaces with strengths equal to or greater than a threshold, sending alerts to network management systems to mitigate potential interference, using cognitive radio devices to scan UHF frequencies and identify interfering signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless regional area networks use UHF white spaces for communication, then spectrum utilization is improved, but video traffic interference increases
Solution Approach 1:
The system performs preliminary detection of UHF signals before they can cause interference with video traffic. The detection system continuously monitors UHF frequencies and identifies potential interfering signals in advance, allowing network operators to take corrective measures before actual interference occurs with video channels.
Solution Approach 2:
The patent introduces an intermediary detection system that acts as a mediator between wireless networks using UHF white spaces and video distribution networks. This intermediary system detects and monitors UHF signals, providing early warning of potential interference without requiring direct interaction or coordination between the different network types.
2Reliability
If signal strength threshold is set high to avoid false alerts, then false alarms are reduced, but detection sensitivity decreases
Solution Approach 1:
The system dynamically adjusts detection parameters including signal strength thresholds based on local environmental conditions, time of day, and network usage patterns. Rather than using a fixed threshold, the system adapts parameters to minimize both false alarms and missed detections, optimizing the balance between reliability and sensitivity.
Solution Approach 2:
The detection system incorporates feedback mechanisms that continuously monitor actual interference events and adjust detection parameters accordingly. By analyzing real-world data about when and why interference occurs, the system refines its threshold settings to reduce false alarms while maintaining high detection sensitivity for actual interference events.
Data Source
AI summary
A method includes detecting, at a video head-end of a video distribution network, a signal having an ultra high frequency white space frequency. The method includes determining that a strength of the signal satisfies a threshold signal strength. The method also includes sending an alert from the video head-end to a network management system in response to the strength satisfying the threshold signal strength.