Access Point RSSI Threshold Dynamic Adjustment
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Solution Overview
Problem
Traditional wireless networks manually preset a threshold signal-to-noise ratio for access points, which does not account for dynamic environmental variables such as access point density, distance, and load, leading to inefficient client device association.
Innovation Solution
Implement a method to dynamically determine the threshold signal-to-noise ratio for access points based on factors like distance between access points and current/expected load, allowing each access point to autonomously decide whether to respond to probe requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a manually preset threshold signal-to-noise ratio is used for access points, then the configuration is simple and stable, but it cannot adapt to dynamic environmental variables such as access point density, distance, and load
Solution Approach 1:
The patent implements dynamic adjustment of the threshold signal-to-noise ratio based on real-time environmental variables including access point density, distance between access points, and current load conditions. The threshold is no longer static but continuously adapts to changing network conditions, allowing the system to optimize client device associations dynamically rather than relying on manual preset values
Solution Approach 2:
The system incorporates feedback mechanisms that monitor environmental variables such as access point density, distance, and load, then use this information to automatically adjust the threshold signal-to-noise ratio. This closed-loop feedback enables the network to self-optimize without manual intervention, resolving the contradiction between adaptability and complexity
2Productivity
If the threshold signal-to-noise ratio is manually preset, then the system is easy to operate, but it leads to inefficient client device association and unnecessary client device movements
Solution Approach 1:
The system enables access points to autonomously determine and adjust their own threshold signal-to-noise ratio based on local environmental conditions such as density, distance, and load. This self-service capability eliminates the need for manual configuration while optimizing client device associations, thereby improving productivity without sacrificing ease of operation
Solution Approach 2:
The patent dynamically changes the threshold signal-to-noise ratio parameter based on environmental variables including access point density, distance between access points, and current load. By adjusting this critical parameter automatically, the system improves client device association efficiency and reduces unnecessary client movements without requiring manual intervention
Data Source
AI summary
System and methods are provided for dynamically setting a threshold signal-to-noise ratio for probe requests for one or more access points in a wireless network based on several factors, including density/distance between access points and/or current and expected load on access points. By dynamically adjusting a threshold signal-to-noise for probe requests, the systems and methods described herein may efficiently utilize resources based on current and/or expected conditions. In particular, an access point may ignore client device probe requests when another access point may be better positioned to handle such a request and/or when the access point would be unable to meet expected load requirements if such an associate were made.