Terminal Profile Detection for Accurate WLAN Roaming
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Solution Overview
Problem
Current methods for determining terminal profiles in wireless local area networks (WLAN) are inefficient and do not accurately adapt to the category of terminals, leading to suboptimal roaming experiences and network performance.
Innovation Solution
A network device detects terminals multiple times to determine profile detection data, using a data detector and analyzer to identify reference terminal profiles based on category information, enabling accurate profiling with minimized overheads and adapting to terminal categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If terminal profiles are determined using existing methods, then some level of network management is achieved, but the accuracy and adaptability to terminal categories is insufficient
Solution Approach 1:
The patent segments terminals into different categories based on their profiles, and applies different detection strategies and parameters for each category. The network device determines terminal categories first, then selects appropriate detection methods and parameters tailored to each category, enabling both high accuracy and adaptability simultaneously.
Solution Approach 2:
The patent dynamically adjusts detection parameters such as detection probability, detection interval, and detection frequency based on terminal category and network conditions. By changing these parameters adaptively, the system achieves high measurement precision while maintaining versatility across different terminal types and network scenarios.
2Measurement precision
If terminals are detected multiple times to improve profile accuracy, then determination precision is improved, but network overhead increases
Solution Approach 1:
The patent dynamically adjusts detection parameters including detection probability, detection interval, and detection frequency based on terminal category, network load, and current conditions. This enables multiple detections when needed for high accuracy while reducing detection frequency to minimize overhead, achieving both precision and energy efficiency.
Solution Approach 2:
The patent applies partial detection strategies where not all terminals are detected with the same frequency. Instead, detections are performed selectively based on terminal category and network conditions, performing enough detections to achieve required accuracy while avoiding excessive actions that would increase overhead unnecessarily.
3Measurement precision
If detailed terminal detection is performed to accurately determine profiles, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent divides the detection process into stages: first determining terminal category, then selecting appropriate detection parameters and methods for that category. This segmentation allows detailed detection when needed while using simplified methods for other cases, maintaining precision without unnecessary complexity.
Solution Approach 2:
The patent applies different detection qualities and levels of detail to different terminal categories and network conditions. Rather than using uniformly high-detail detection for all terminals, the system applies locally optimized detection strategies tailored to each terminal's category and current network state, achieving accuracy while managing complexity.
Data Source
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AI summary
This application discloses a method and an apparatus for determining a terminal profile, and a device, a storage medium, and a system, and belongs to the field of communications technologies. In this application, a data detector may detect one or more first terminals for a plurality of times, to determine a plurality of groups of profile detection data. In this way, a data analyzer may determine a reference terminal profile based on the plurality of groups of profile detection data. In other words, in this application, a terminal is detected online, to accurately determine a corresponding terminal profile on the basis of minimized overheads, and different terminal profiles can be further determined for different category information, to adapt to a category of the terminal.