Logical Edge AP Detection in WLANs
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Solution Overview
Problem
Current wireless local area networks (WLANs) face challenges in detecting and optimizing logical edge Access Points (APs) whose signal coverage area reaches the edge of the WLAN, leading to increased impact on network performance.
Innovation Solution
A detection method and system that identifies logical edge APs by analyzing features such as the quantity of target terminals requesting access within a specific time period, using connection information to determine nomadic terminals and abnormal access status, and applying conditions based on quantity thresholds and variance to determine if an AP is a logical edge AP.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the signal coverage area of an AP is expanded to reach the edge of the WLAN, then the coverage area is improved, but the network performance deteriorates due to increased impact from nomadic terminals and abnormal access
Solution Approach 1:
The system performs preliminary detection of APs by analyzing connection information before the APs cause significant network impact. By identifying logical edge APs in advance through feature extraction (quantity of target terminals, access status, connection time), the system can take preventive optimization measures to maintain network performance while preserving coverage area.
Solution Approach 2:
The system establishes a feedback mechanism where connection information from terminals is continuously collected and analyzed to identify logical edge APs. The AC (access controller) receives this information, analyzes features, and provides optimization instructions back to the APs, creating a closed-loop control system that maintains network performance while managing coverage.
2Device complexity
If detection methods are simplified to reduce complexity, then the detection process is easier to implement, but the detection precision of logical edge APs deteriorates
Solution Approach 1:
The detection process is segmented into distinct modules: feature extraction module (quantity of target terminals, access status, connection time), analysis module (comparing features against thresholds), and identification module (determining logical edge APs). This segmentation makes the complex detection process more manageable and implementable while maintaining precision through systematic analysis of multiple features.
Solution Approach 2:
The system changes parameters such as quantity of target terminals, access status, and connection time to identify logical edge APs. By analyzing multiple parameters simultaneously and comparing them against predetermined thresholds, the system achieves high detection precision without requiring overly complex detection mechanisms.
3Reliability
If optimization measures are applied to logical edge APs, then network performance is improved, but the signal coverage area is reduced
Solution Approach 1:
The system applies different optimization strategies to different APs based on their characteristics. Logical edge APs are identified through local analysis of connection information and features specific to each AP (quantity of target terminals, access patterns). This allows targeted optimization of only the problematic APs while leaving other APs unchanged, thus improving network performance without significantly reducing overall signal coverage area.
Data Source
AI summary
A detection method includes: obtaining at least one feature of a first access point (AP), where the at least one feature includes a quantity of target terminals that request to access the first AP within a time period with duration being first duration, and the target terminal is a terminal whose access status is abnormal; and detecting, based on the at least one feature, whether the first AP is a logical edge AP, where the logical edge AP is an AP whose signal coverage area reaches an edge of a signal coverage area of a wireless local area network (WLAN) in which the AP is located.