Joint Radio Resource Management of Channel-Assignment and User-Association for Load Balancing in Dense WLAN Environment

• Published in: IEEE access 2020-01, Vol.8, p.1-1
• Main Authors: Oh, Hyun Seob, Jeong, Dong Geun, Jeon, Wha Sook
• Format: Article
• Language: English
• Subjects: Bonding; Channel allocation; channel assignment (CA); Communications systems; Driving conditions; Interference; Load balancing; load balancing (LB); Load management; Local area networks; Performance degradation; Radio resource management; Resource management; Throughput; Traffic; user association (UA); Wireless LAN; wireless local area network (WLAN); Wireless networks
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2986581

IEEE 802.11-based wireless local area network (WLAN) is currently the most popular communication system and a lot of access points (APs) have been densely deployed over heavily populated areas. In such dense WLAN environment, the WLAN users can suffer from performance degradation due to high co-channel and adjacent-channel interference among APs. To tackling such user performance degradation problem, we propose a two-phase radio resource management (RRM) framework, of which the first phase is channel assignment (CA) and the second phase is user association for channel load balancing (UA-ChLB). In designing the RRM framework, we take account of typical WLAN environment where dual bands are supported and two types of APs coexist: controlled-APs, which are managed by a centralized controller, and stand-alone APs, which independently operate for themselves. The proposed CA method utilizes a channel bonding technique, which provides a high data rate by integrating multiple basic channels while reducing the interference among neighboring APs. The proposed hybrid UA-ChLB scheme, which is composed of distributed/centralized UA-ChLB, efficiently coordinates the channel load among neighboring APs and between two bands of 2:4 and 5 GHz, under consideration of the wireless channel quality, interference, and traffic conditions. We implement a prototype system in practice using the proposed RRM scheme. The experimental results show that the proposed RRM scheme greatly improves both throughput and fairness in dense WLAN environment, as compared with some existing schemes.