Abstract-This paper proposes a dynamic user association method to address the load balancing problem in dense IEEE 802.11ax networks with uneven user distribution, where a user determines which AP to connect to taking into consideration of multiple factors such as RSS, potential relative capacity, achievable data rate and location of users. The method is usercentric and does not incur much signaling overhead, while performance optimization can be achieved without inter-AP coordination. Simulation results have been presented to show that the proposed solution can improve load balancing and have higher average throughput for 10% worst users as well as maintain the maximal total system throughput. Our evaluation also suggests that the location-awareness of users considered in the proposed solution plays an important role to improve the performance.
Cao et al. REF proposed a dynamic STA association method wherein a STA determines which AP to connect to, taking into consideration of multiple factors such as RSSI, link quality, and location of the users.
User association for load balancing with uneven user distribution in IEEE 802.11ax networks
2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)
2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Computer Science