Wireless Access Point Assignment via Traffic Pattern Analysis
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Solution Overview
Problem
Current wireless network management systems fail to optimally distribute client devices across wireless access points based on traffic patterns, leading to inefficiencies in throughput and increased co-channel interference.
Innovation Solution
A network controller analyzes client device characteristics and traffic patterns to dynamically assign client devices to wireless access points and allocate radio channels, optimizing distribution based on historical data, time-based patterns, and communication protocols to enhance throughput and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If client devices are assigned to wireless access points without analyzing traffic patterns, then the system operation is simple, but network throughput is reduced and co-channel interference increases
Solution Approach 1:
The network controller pre-analyzes traffic patterns of client devices before assignment occurs. By examining historical traffic data, communication protocols, and usage patterns in advance, the controller prepares optimal access point assignments before clients actually connect, enabling efficient load distribution without real-time computational overhead
Solution Approach 2:
The system continuously monitors network performance metrics including throughput, interference levels, and access point utilization. This feedback is used to refine traffic pattern analysis and adjust future assignments, creating a closed-loop system that improves network efficiency while maintaining manageable controller complexity through iterative optimization
2Productivity
If client devices are dynamically assigned based on detailed traffic pattern analysis, then network throughput is improved, but the time and computational resources required for assignment increase
Solution Approach 1:
Traffic patterns are analyzed and stored in advance of actual client assignments. The network controller builds profiles of client devices based on their communication protocols, traffic volumes, and usage patterns during idle periods or before connection events, so that when assignment decisions are needed, pre-computed recommendations are already available
Solution Approach 2:
The system transforms complex, continuous traffic data into discrete, categorized parameters such as communication protocol type, traffic intensity levels, and usage patterns. This parameterization enables efficient storage and rapid comparison during assignment decisions, reducing computational complexity while maintaining assignment quality
3Productivity
If more wireless access points are deployed to handle increased traffic, then network capacity is improved, but co-channel interference increases
Solution Approach 1:
The system assigns different radio channels to different wireless access points based on their specific locations, client distributions, and traffic patterns. By optimizing channel allocation locally for each access point rather than using uniform channel assignments, the system increases network capacity while minimizing co-channel interference between neighboring access points
Solution Approach 2:
The network controller dynamically adjusts channel assignments and client access point mappings based on real-time network conditions, traffic patterns, and interference levels. This dynamic reconfiguration allows the system to adapt to changing conditions, maintaining high capacity while actively managing interference through continuous optimization
Data Source
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AI summary
Embodiments disclosed herein relate to wireless access point assignment. In one embodiment, a client device is assigned to a wireless access point. For example, the client device may be assigned to the wireless access point based on network traffic associated with the client device. The client device may be assigned to the wireless access point based on the communication protocol of the client device. In one embodiment, a radio channel is assigned to a wireless access point based on a time based network traffic pattern associated with the wireless access point.