Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 4466-4475 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 67 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2018 May 1 |
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Keywords
- Adaptive algorithm
- dense WLAN
- distributed MAC
- game-theory
- resource allocation
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Adaptive and Distributed Radio Resource Allocation in Densely Deployed Wireless LANs : A Game-Theoretic Approach. / Song, Taewon; Kim, Tae Yoon; Kim, Wonjung; Pack, Sangheon.
In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 5, 01.05.2018, p. 4466-4475.Research output: Contribution to journal › Article
}
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
PY - 2018/5/1
Y1 - 2018/5/1
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
UR - http://www.scopus.com/inward/record.url?scp=85040549910&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040549910&partnerID=8YFLogxK
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 -