Access Point Controller Roaming Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems for mobile devices, such as Wi-Fi, struggle with efficient roaming due to the lack of consideration for the device's travel direction, leading to increased roaming time and battery consumption as devices scan for nearby access points without prioritization based on the direction of travel.
Innovation Solution
An access point controller generates a neighbor report that lists access points in order of connection likelihood, taking into account the mobile device's travel direction and projected routes, thereby prioritizing access points in the direction of travel and reducing the number of access points to scan, thus minimizing roaming time and battery usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device scans all nearby access points without prioritization, then the device can find any available access point, but the roaming time and battery consumption increase
Solution Approach 1:
The access point controller performs preliminary actions by predicting the mobile device's future location based on travel direction and generating a prioritized neighbor report before the device actually needs to roam. This advance preparation allows the device to quickly find the correct access point without scanning all nearby APs, thus reducing roaming time while maintaining reliability
Solution Approach 2:
The system dynamically adjusts the neighbor report based on the mobile device's real-time travel direction and predicted routes. By making the access point selection dynamic and adaptive to the device's movement, the system ensures the device always gets the most relevant access points in priority order, reducing the time needed to find a suitable AP while maintaining connection reliability
2Reliability
If the device scans all nearby access points without prioritization, then the device can find any available access point, but the battery consumption increases
Solution Approach 1:
The access point controller generates the prioritized neighbor report in advance based on predicted device location, so the device does not need to perform energy-consuming scans of all nearby access points. This preliminary action significantly reduces battery consumption while ensuring the device can reliably connect to the appropriate access point
Solution Approach 2:
Instead of scanning all nearby access points (excessive action), the system performs only the necessary partial action by providing a prioritized list of the most likely candidate access points based on travel direction. This reduces the scanning workload and battery consumption while maintaining sufficient reliability for successful roaming
3Device complexity
If the neighbor report is generated based on proximity and signal strength only, then the report is simple to generate, but it does not account for the device's travel direction leading to inefficient roaming
Solution Approach 1:
The neighbor report generation becomes dynamic by incorporating the mobile device's travel direction and predicted routes. The access point controller continuously updates the prioritization based on the device's movement, making the report adaptive rather than static. This increases roaming efficiency by ensuring the device receives relevant access points in priority order, while the added complexity is managed through automated algorithms
4Measurement precision
If the access point controller considers travel direction and projected routes, then the neighbor report is more accurate for roaming, but the processing complexity increases
Solution Approach 1:
The access point controller performs preliminary calculations to predict the mobile device's future location based on travel direction before the device actually needs to roam. This advance preparation allows the controller to generate an accurate prioritized neighbor report without requiring complex real-time processing during the actual roaming event, thus improving selection accuracy while managing processing complexity
Solution Approach 2:
The system uses the mobile device's own travel direction data (provided by the device's positioning system) to improve the neighbor report accuracy. By leveraging information already available from the device itself, the controller achieves better selection accuracy without requiring excessive external processing resources
Data Source
AI summary
In embodiments of access point assisted roaming, a mobile device, such as a mobile phone, tablet computer, or other portable device is implemented for wireless connection with access points, such as Wi-Fi access points. An access point controller can receive a request for a neighbor report from the mobile device, and also obtain a travel direction of the mobile device. The access point controller is implemented to determine access points that are each configured for a wireless connection with a communication system of the mobile device, where a wireless connection with an access point is based in part on a detected signal strength of an access point. The access point controller can then generate the neighbor report that lists one or more of the access points in order of connection likelihood and based on the travel direction of the mobile device.