Online Terminal Profiling for Low-Overhead WLAN Roaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining terminal profiles in wireless local area networks are inefficient and do not adequately address the need for accurate profiling to enhance roaming optimization, load balance, and access control, particularly in terms of minimizing overheads and adapting to different terminal categories.
Innovation Solution
A network device detects multiple groups of profile detection data from terminals with similar category information to determine a reference terminal profile, using key feature data to accurately identify and adapt profiles for various categories, including link quality, roaming steering, and network detection types, and communicates this information to access point devices for optimized terminal profiling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If terminal profiles are determined using traditional methods, then profile determination can be performed, but overheads are excessive and accuracy is insufficient
Solution Approach 1:
The patent extracts only the necessary profile detection data from terminals through online detection, rather than transmitting complete terminal information. The network device selectively obtains key detection data multiple times to build accurate profiles while minimizing network overhead and energy consumption.
Solution Approach 2:
The network device performs preliminary online detection of terminals to obtain profile detection data before actual network operations. By detecting terminals in advance and building profiles proactively, the system avoids excessive overhead during critical operations while maintaining high accuracy.
2Adaptability or versatility
If generic terminal profiles are used, then implementation is simple, but adaptability to different terminal categories is poor
Solution Approach 1:
The patent implements local quality by creating differentiated terminal profiles for different terminal categories (e.g., IoT devices, smartphones, tablets). Each category receives customized profile treatment based on its specific characteristics, enabling adaptive network optimization while maintaining manageable system complexity through categorical segmentation.
Solution Approach 2:
The system segments terminals into different categories based on their characteristics and applies category-specific profile determination. This segmentation approach enables the network to adapt to diverse terminal types without requiring a completely complex system, as each category can be handled with tailored detection parameters.
3Reliability
If terminals are detected offline, then detection can be performed, but real-time accuracy and responsiveness are insufficient
Solution Approach 1:
The patent implements continuous online detection of terminals, where the network device repeatedly detects terminal profile data in real-time rather than performing single offline detection. This continuous detection ensures profiles remain current and accurate, enabling timely network optimizations while maintaining high reliability through ongoing verification.
Solution Approach 2:
The system performs preliminary online detection to obtain terminal profiles before network conditions require optimization. By having profiles ready in advance through continuous detection, the network can respond immediately to changing conditions without time delays, ensuring both reliability and real-time responsiveness.
Data Source
Figure 1
Figure 2
Figure 3
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.