Wireless Network Channel Allocation with Access-Point Feedback
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Solution Overview
Problem
Optimization of Wi-Fi channel allocation is challenging due to increasing numbers of access points and network availability and capacity requirements, particularly in high-density environments, with existing methods being difficult to understand and requiring manual intervention.
Innovation Solution
A method and management entity that determines receivable radio access entities in communication channels, optimizing network performance by configuring and scanning channels, using machine learning to prioritize demand-driven channel allocation, and providing visualization for quick optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If renowned manufacturers provide their own procedures for channel allocation, then channel allocation optimization is achieved, but the procedures become hard to understand and barely support troubleshooting and manual analysis
Solution Approach 1:
The patent introduces a management entity as an intermediary between the complex optimization algorithms and the user. This management entity collects reception quality information from multiple access points, performs the optimization calculations, and presents the results in a simplified manner, thereby maintaining optimization effectiveness while improving understandability and troubleshooting capability
Solution Approach 2:
The system enables access points to automatically report their reception quality information and allows the management entity to autonomously perform channel allocation optimization without requiring deep user intervention or understanding of the underlying complex algorithms
2Quantity of substance
If the number of access points and Wi-Fi networks increases, then network coverage and capacity are improved, but radio interference and channel allocation complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where each access point measures and reports the reception quality of signals from other access points on different channels. The management entity uses this feedback information to dynamically optimize channel allocation, thereby reducing radio interference as the network scales
Solution Approach 2:
The system changes the channel allocation parameters dynamically based on the measured reception quality information. By adjusting which channels are assigned to which access points based on actual radio conditions, the system manages interference effectively even as the number of access points increases
3Ease of operation
If manual channel allocation is performed, then control and understanding are maintained, but time consumption and inability to adapt to changing environments occur
Solution Approach 1:
The system performs preliminary actions by having access points continuously measure and report reception quality information in advance. The management entity uses this pre-collected data to perform rapid optimization calculations, reducing the time needed when environmental changes occur
Solution Approach 2:
The patent transitions from static manual allocation to dynamic automated optimization. The system can continuously or periodically re-optimize channel allocations based on changing radio conditions, adapting automatically to environmental changes without requiring time-consuming manual reconfiguration
Data Source
AI summary
Disclosed are a method (1) of and a management entity (23) for optimizing a radio performance of a wireless network (2). The wireless network (2) comprises a plurality (C) of communication channels and a plurality (N) of configurable radio access entities (21). The method (1) comprises determining (11), by a respective configurable radio access entity (21,i) of the plurality of configurable radio access entities (21), a respective set of receivable radio access entities (21, 22,j) in a particular communication channel of the plurality of communication channels. The method (1) further comprises collecting (12), by a management entity (23), the respective set of the receivable radio access entities (21, 22,j) determined by the respective configurable radio access entity (21,i) of the plurality of configurable radio access entities (21,i). The method (1) further comprises optimizing (13), by the management entity (23), the radio performance of the wireless network (2) in accordance with the respective set of the receivable radio access entities (21, 22,j) collected from the plurality of configurable radio access entities (21,i). The resulting channel allocation is quickly obtainable, straightforward to understand, and therefore enables users with even a little radio communications background to quickly and safely carry out a professional frequency optimization.