Wireless Channel Arbitration via Central Server Congestion Quotients
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Solution Overview
Problem
Wireless routers in close proximity using the same Wi-Fi channel often experience destructive interference, leading to poor quality of service due to congestion, which existing manual workarounds and automatic channel selection features fail to adequately address.
Innovation Solution
A system and method that calculates a congestion quotient for each router based on connected devices, location, connection time, and channel usage, dynamically adjusting wireless bands and channels to reduce interference, with a central server arbitrating changes in real-time to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple wireless routers use the same wireless band and channel, then device connectivity is simplified, but destructive interference and congestion occur
Solution Approach 1:
A central server acts as an intermediary between wireless routers, collecting information about connected devices and calculating congestion quotients. The server arbitrates channel assignments and transmits optimization recommendations to routers, mediating between the need for simple connectivity and the need to avoid interference
Solution Approach 2:
The system implements continuous feedback by collecting real-time information from routers about connected devices, calculating congestion quotients that reflect current interference levels, and transmitting channel optimization recommendations back to routers. This closed-loop feedback enables dynamic adaptation to changing network conditions
2Object-affected harmful factors
If manual channel selection workarounds are used, then some interference can be avoided, but the process is complex and not scalable
Solution Approach 1:
Wireless routers automatically collect information about their connected devices and transmit it to the central server. The system performs self-service by autonomously gathering network data, calculating congestion metrics, and implementing channel optimizations without requiring manual user intervention or complex configuration processes
Solution Approach 2:
The central server provides a universal solution that handles channel arbitration for multiple routers simultaneously. It performs multiple functions including data collection, congestion analysis, channel optimization calculation, and recommendation transmission, replacing numerous individual manual configuration processes with a single multi-functional system
3Ease of operation
If automatic channel selection features are implemented, then channel management is simplified, but they fail to adequately address congestion in dense areas
Solution Approach 1:
The system transitions from static automatic channel selection to dynamic channel arbitration. The central server continuously collects real-time information about connected devices, recalculates congestion quotients as conditions change, and transmits updated channel recommendations to routers. This dynamic adaptation ensures reliable quality of service in dense areas while maintaining simplified operation
Solution Approach 2:
The central server proactively analyzes network conditions and determines optimal channel assignments before congestion problems manifest. By continuously monitoring device connections and calculating congestion quotients in advance, the system preemptively adjusts channel assignments to prevent interference, ensuring reliable quality of service before degradation occurs
Data Source
AI summary
A computer implemented method comprises receiving, from each of a plurality of wireless routers, information on connected local devices, including number, type, connection time, wireless band, and wireless channel, wherein the plurality of wireless routers are using a same wireless band and/or wireless channel. The method further comprises calculating, for each of the plurality of wireless routers, a congestion quotient from the received information on the connected local devices, wherein the congestion quotient defines a likelihood of destructive interference at each respective wireless router. The method further comprises determining changes in wireless band and/or wireless channel for one or more wireless routers of the plurality of wireless routers, wherein the changes lower the congestion quotients for each of the respective one or more wireless routers. The method further comprises transmitting the determined changes to each of the respective one or more wireless routers.