Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs

Jianjun Lei, Jiarui Tao and Shanshan Yang
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Jianjun Lei: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Jiarui Tao: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Shanshan Yang: School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Future Internet, 2018, vol. 10, issue 8, 1-15

Abstract: Regarding access point (AP) overload and performance anomaly which is caused by mobile terminals with different bitrates, a joint AP association and bandwidth allocation optimization algorithm is presented in this paper. Meanwhile, load balancing and proportional fairness are analyzed and formulated as an optimization model. Then, we present a Fair Bandwidth Allocation algorithm based on clients’ Business Priority (FBA-BP), which allocates bandwidth based on the bandwidth demand of clients and their business priority. Furthermore, we propose a Categorized AP Association algorithm based on clients’ demands (CAA-BD), which classifies APs by different types of clients and chooses an optimal associating AP for a new client according to AP categories and the aggregated demand transmission time that are calculated by the FBA-BP algorithm. The CAA-BD can achieve load balance and solve the performance anomaly caused by multi-rate clients coexisting. The simulation results show that our proposed algorithm obtains significant performance in terms of AP utilization, throughput, transmission delay and channel fairness in different client density levels compared with the categorized and Strong Signal First (SSF) algorithms.

Keywords: AP association; bandwidth allocation; load balancing; WLANs (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
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