Distributed AP Client Optimization via Virtual Beacon Reports
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Solution Overview
Problem
In distributed wireless local area networks (WLANs) without a centralized controller, access points (APs) face challenges in helping client devices select optimal APs due to limited computational resources in 'thin' APs and limited influence during client association in 'fat' APs, leading to sub-optimal network connectivity.
Innovation Solution
A mechanism where APs collect and share information about client devices through virtual beacon reports, allowing them to determine and propagate decisions for optimal AP selection, enabling collaborative optimization without a centralized controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a 'thin' AP is used with limited computational resources, then device complexity is reduced, but the ability to help client devices select optimal APs deteriorates
Solution Approach 1:
The patent introduces a distributed decision-making mechanism where multiple APs act as intermediaries to share client information and collectively determine optimal AP selection. Instead of relying on a single AP with high computational power, the system uses multiple APs exchanging information to achieve the selection function, thereby resolving the contradiction between thin AP resources and selection capability.
Solution Approach 2:
The patent combines the capabilities of multiple thin APs into a collective decision-making system. By merging their individual client detection abilities and sharing information through virtual beacon reports, the system achieves optimal AP selection without requiring any single AP to have high computational resources.
2Adaptability or versatility
If a 'fat' AP is used with broad functionality, then AP selection assistance capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the AP selection assistance function from the core AP functionality. Instead of requiring fat APs with all functions integrated, the system divides the selection process into distributed steps performed by multiple APs, each maintaining simple core functionality while collectively providing advanced selection assistance.
Solution Approach 2:
The patent enables APs to self-organize into a distributed decision-making system without requiring centralized control or complex integrated functionality. Each AP independently performs client detection, shares information, and participates in collective decision-making, thereby achieving fat AP capabilities through simple self-service mechanisms.
3Ease of operation
If slave APs do not communicate with master AP during client association, then ease of operation is improved, but the ability to influence optimal AP selection deteriorates
Solution Approach 1:
The patent implements preliminary action by having slave APs detect and report client devices before association occurs. Virtual beacon reports are generated and shared in advance, enabling the master AP and other slave APs to have information about clients before they associate, thus maintaining simple association operations while enabling informed selection decisions.
Solution Approach 2:
The patent introduces feedback mechanisms where slave APs provide information about detected clients to the network through virtual beacon reports. This feedback enables the distributed system to make informed AP selection decisions without interfering with the simplicity of the association process, as the feedback is exchanged independently of the client association workflow.
Data Source
AI summary
The present disclosure discloses a distributed method and network device for providing client optimization in WLANs. Specifically, a first access point detects a plurality of client devices. The first access point also receives information identifying a first set of client devices associated with the second access point. Then first access point then identifies a subset of the detected plurality of client devices that are also identified in the first set of client devices associated with the second access point. Finally, the first access point transmits to the second access point characteristics corresponding to the subset of the plurality of client devices. The characteristics are determined based on wireless signals received by the first access point from the subset of the plurality of client devices.