TY - JOUR
T1 - Adaptive and Distributed Radio Resource Allocation in Densely Deployed Wireless LANs
T2 - A Game-Theoretic Approach
AU - Song, Taewon
AU - Kim, Tae Yoon
AU - Kim, Wonjung
AU - Pack, Sangheon
N1 - Funding Information:
Manuscript received April 18, 2017; revised August 28, 2017 and November 20, 2017; accepted December 27, 2017. Date of publication January 11, 2018; date of current version May 14, 2018. This work was supported in part by a Korea University Grant and in part by the Institute for Information and Communications Technology Promotion under Grant 2014-0-00552 (Next Generation WLAN System with High Efficient Performance) funded by the Korea Government (Ministry of Science and ICT). A preliminary version of this paper [1] was presented at the International Conference on Information Networking, Kota Kinabalu, Malaysia, Jan. 2016. The review of this paper was coordinated by Prof. J. Misic. (Corresponding author: Sangheon Pack.) T. Song is with the Advanced Standard R&D Laboratory, LG Electronics, Seoul 150-721, South Korea (e-mail: crazytb@lge.com).
PY - 2018/5
Y1 - 2018/5
N2 - As increasing numbers of access points (APs) are deployed in wireless local area networks (WLANs), they experience severe channel interference. Thus, a well-defined resource management scheme for APs should be devised. Undoubtedly, a centralized and deterministic resource management is not appropriate, owing to the distributed operation and dynamic channel condition of densely deployed WLANs. To address this problem, an adaptive and distributed radio resource allocation (ADRA) algorithm is proposed, in which an optimal mixed strategy for selecting the channel width of APs is derived via a game-theoretic approach. ADRA also fits into the densely deployed WLAN in that it considers partially overlapped channels. Simulation results show that ADRA can provide a comparable throughput and fairness performance to centralized algorithms, even though it functions in a distributed manner. Moreover, it is shown that ADRA works adaptively even when network environments change rapidly.
AB - As increasing numbers of access points (APs) are deployed in wireless local area networks (WLANs), they experience severe channel interference. Thus, a well-defined resource management scheme for APs should be devised. Undoubtedly, a centralized and deterministic resource management is not appropriate, owing to the distributed operation and dynamic channel condition of densely deployed WLANs. To address this problem, an adaptive and distributed radio resource allocation (ADRA) algorithm is proposed, in which an optimal mixed strategy for selecting the channel width of APs is derived via a game-theoretic approach. ADRA also fits into the densely deployed WLAN in that it considers partially overlapped channels. Simulation results show that ADRA can provide a comparable throughput and fairness performance to centralized algorithms, even though it functions in a distributed manner. Moreover, it is shown that ADRA works adaptively even when network environments change rapidly.
KW - Adaptive algorithm
KW - dense WLAN
KW - distributed MAC
KW - game-theory
KW - resource allocation
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U2 - 10.1109/TVT.2018.2789362
DO - 10.1109/TVT.2018.2789362
M3 - Article
AN - SCOPUS:85040549910
VL - 67
SP - 4466
EP - 4475
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 5
ER -