Distributed Spectrum Monitoring for Coordinated Multi-Band Interference
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Solution Overview
Problem
Conventional spectrum monitoring systems face challenges such as high cost, limited spatial awareness, and difficulty in detecting coordinated interference patterns due to hardware complexity and the need for multiple dedicated RF front ends and complex signal processing, especially in congested electromagnetic environments.
Innovation Solution
A distributed spectrum monitoring system utilizing Wi-Fi 7 chipsets for concurrent multi-band operation across multiple locations, synchronized through a central cloud server, enabling cross-correlation analysis of MLO data streams to detect coordinated signal patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spectrum analyzers are deployed to monitor multiple frequency bands, then measurement precision and reliability improve, but device complexity and cost increase significantly
Solution Approach 1:
The system divides the spectrum monitoring function into multiple distributed Wi-Fi 7 access points, each monitoring specific frequency bands. Instead of using a single complex high-end analyzer covering all bands, multiple simpler units collectively monitor the entire spectrum, reducing individual device complexity while maintaining overall monitoring precision
Solution Approach 2:
Commercial Wi-Fi 7 access points are designed to perform their primary wireless communication function while simultaneously executing spectrum monitoring tasks. The same hardware infrastructure (access points) serves dual purposes: providing wireless connectivity and monitoring multiple frequency bands (2.4 GHz, 5 GHz, 6 GHz) for interference detection, eliminating the need for dedicated specialized equipment
2Adaptability or versatility
If multiple dedicated RF front ends are used to cover broader frequency ranges, then adaptability improves, but device complexity and cost increase
Solution Approach 1:
Wi-Fi 7 access points are designed with multi-band capability to simultaneously operate and monitor across 2.4 GHz, 5 GHz, and 6 GHz frequency bands. This universal hardware design provides broad frequency coverage without requiring separate dedicated RF front ends for each band, reducing hardware complexity while maintaining adaptability across multiple bands
Solution Approach 2:
The system dynamically configures monitoring parameters and frequency bands based on operational needs. Access points can adaptively adjust which frequency bands to monitor and with what precision, allowing the system to maintain broad frequency coverage while optimizing resource usage and reducing overall system complexity
3Measurement precision
If conventional spectrum analyzers are deployed at multiple locations, then spatial awareness improves, but cost increases significantly
Solution Approach 1:
The system replaces expensive specialized spectrum analyzers with commercially available Wi-Fi 7 access points that are significantly cheaper. By deploying multiple inexpensive access points across different locations, the system achieves comprehensive spatial awareness of interference patterns without the prohibitive cost of deploying multiple high-end analyzers
Solution Approach 2:
Commercial Wi-Fi 7 access points serve dual purposes: providing wireless connectivity and performing spectrum monitoring at multiple locations. This eliminates the need for dedicated expensive monitoring equipment at each site, reducing overall system cost while maintaining spatial awareness through the distributed network of multi-functional access points
4Device complexity
If swept analyzers are used to scan frequency ranges, then device complexity is reduced, but measurement precision deteriorates due to deadtime between sweeps
Solution Approach 1:
Wi-Fi 7 access points continuously monitor the spectrum across all configured frequency bands simultaneously, eliminating the deadtime inherent in swept analyzers. The continuous monitoring ensures that intermittent or transient interference signals are captured without missing them during sweep transitions, maintaining measurement precision while using commercially available hardware
Data Source
AI summary
A system for distributed spectrum monitoring includes a central cloud server that obtains multi-link operation (MLO) data streams from a plurality of wireless communication devices distributed across a plurality of different spatial locations. Each wireless communication device of the plurality of wireless communication devices is configured to concurrently operate at a plurality of different predetermined intermediate frequency bands. The central cloud server includes a processor that synchronizes the obtained MLO data streams from the plurality of wireless communication devices distributed across the plurality of different spatial locations. The processor further performs a cross-correlation between the synchronized MLO data streams and detects coordinated multi-band signal patterns that exist concurrently across the plurality of different predetermined intermediate frequency bands at the plurality of different spatial locations, based on the cross-correlation between the synchronized MLO data streams.