Wireless Channel Selection via Transient Interference Analysis
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Solution Overview
Problem
Wireless networks experience interference from neighboring networks, leading to reduced service quality, as existing methods for managing channel selection are not sufficiently aware of changing interference levels over time, causing temporary improvements in service quality to be short-lived.
Innovation Solution
A method and system that measure and calculate interference parameters by analyzing received signal strength indicators (RSSI) over time, using weighting factors and coupling parameters to determine the total interference on a target channel, and employing transient analysis to predict changes in interference, allowing for proactive channel switching or user notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the access point reconfigures to a new channel while restarting to improve service quality, then service quality temporarily improves, but the radio environment changes within short time periods causing service quality to deteriorate again
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and analyzing the radio environment before interference becomes problematic. The transient analysis predicts future interference patterns, allowing the access point to proactively switch channels before service quality deteriorates, rather than reactively switching after problems occur.
Solution Approach 2:
The system implements feedback by continuously measuring received signal strength indicators (RSSI) and calculating interference parameters based on transient analysis. This feedback loop allows the access point to adapt its channel selection based on real-time and predicted future interference conditions, maintaining service quality over extended periods.
2Extent of automation
If existing methods select operating channels based on interference levels, then channel selection is automated, but the methods are not sufficiently aware of changing interference levels over time
Solution Approach 1:
The system applies dynamics by transitioning from static interference measurements to transient analysis that captures time-varying interference patterns. The interference parameter calculation incorporates temporal dynamics, allowing the automated channel selection to respond to changing radio environments with precision.
Solution Approach 2:
The system adds a temporal dimension to interference measurement by analyzing RSSI values over time rather than at single points. This dimensional expansion enables the system to detect trends, patterns, and transient interference that single-point measurements would miss, significantly improving interference level awareness.
3Device complexity
If the access point monitors interference at single measurement points in time, then the monitoring process is simple, but the interference awareness is insufficient for proactive decision-making
Solution Approach 1:
The system implements continuous monitoring by repeatedly measuring RSSI values over time intervals, creating a continuous record of radio environment conditions. This continuous data stream enables transient analysis that preserves information about interference patterns, trends, and temporal variations that single-point measurements would lose.
Solution Approach 2:
The system transforms the monitoring approach by changing from single-point interference measurements to multi-point transient analysis. This parameter change involves analyzing multiple RSSI measurements over time, calculating statistical properties, and deriving interference patterns that provide comprehensive information for proactive channel selection decisions.
Data Source
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AI summary
The disclosure relates to a system and method of operating a wireless network, the method comprising obtaining data indicating a radio signal power present at the access point for each wireless channel, calculating an interference parameter indicating an interference on at least one wireless channel based on the obtained data, wherein the obtained data is weighted for each wireless channel based on a channel overlap parameter, obtaining a change of the calculated interference parameter in time and determining whether to perform an action among performable actions including changing the wireless channel used by the access point to a wireless channel for which a lower interference parameter is calculated.