Motion-Aware Assisted Roaming for Access-Point Load Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing Wi-Fi roaming mechanisms prioritize signal strength but overlook factors like device motion, type, and traffic load, leading to sub-optimal roaming decisions that degrade user experience.
Innovation Solution
Implement motion-aware and load-balanced assisted roaming by grouping mobile devices based on similarity in motion attributes, segmenting potential APs into sub-lists, and predicting traffic load to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If assisted roaming mechanisms prioritize signal strength in decision-making, then connectivity is maintained, but other metrics such as device motion and traffic load are overlooked leading to sub-optimal roaming decisions
Solution Approach 1:
The patent changes the parameters considered in roaming decisions from only signal strength to multiple parameters including device motion attributes (velocity, direction, acceleration), device type, and traffic load. This multi-parameter approach enables more adaptable and optimal roaming decisions while maintaining connectivity reliability.
2Device complexity
If a single roaming candidate list is provided to all mobile devices, then implementation is simple, but traffic load is not balanced across access points leading to network congestion
Solution Approach 1:
The patent segments the roaming candidate list into multiple sub-lists based on device motion attributes and device types. Each sub-list is tailored to specific device characteristics and traffic load conditions, enabling load balancing across access points while improving network performance. This segmentation approach maintains reasonable implementation complexity through systematic categorization.
3Device complexity
If motion attributes are not considered in roaming decisions, then the system is simpler to implement, but user experience degrades in dynamic environments
Solution Approach 1:
The patent implements feedback mechanisms where access points monitor device motion attributes (velocity, direction, acceleration) and use this information to dynamically adjust roaming candidate sub-lists. This feedback loop ensures optimal user experience in dynamic environments while managing system complexity through structured data collection and response protocols.
Data Source
AI summary
Existing roaming protocols overlook certain factors such as direction and speed of mobile devices, client mix, and profiles during assisted roaming, leading to less relevant access point (AP) suggestions. Therefore, devices, systems, methods, and processes for motion-aware and load-balanced assisted roaming are described herein. Multiple mobile devices roaming in an area and having similar motion attributes are grouped. A roaming candidate list including potential APs is identified for the group. This list is further segmented into unique sub-lists, which are then transmitted to the mobile devices based on the motion attributes and connectivity needs. Furthermore, traffic load for each potential AP is predicted and traffic alert notifications are transmitted to the potential APs. The traffic alert notification indicates the predicted traffic load or mobile device types expected to connect to the potential AP. Thus, ensuring optimal network performance, efficient resource management, and enhanced roaming experience in dynamic environments.