IEICE TRANSACTIONS on Communications
Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model
Summary :
We investigate the problem of joint frequency and power allocation in wireless mesh networks, using a self-pricing game based solution. In traditional pricing game models, the price factor is determined from the global information of the network, which causes heavy communication overhead. To overcome this problem, we propose a self-pricing game model, in which the price factor is determined by the distributed access points processing their individual information; moreover, it is implemented in an autonomous and distributed fashion. The existence and the efficiency of Nash equilibrium (NE) of the proposed game are studied. It is shown that the proposed game based solution achieves near cooperative network throughput while it reduces the communication overhead significantly. Also, a forcing convergence algorithm is proposed to counter the vibration of channel selection. Simulation results verify the effectiveness and robustness of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.10 pp.2857-2867
- Publication Date
- 2011/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.2857
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Xin LIU, Jin-long WANG, Qihui WU, Yang YANG, "Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 10, pp. 2857-2867, October 2011, doi: 10.1587/transcom.E94.B.2857.
Abstract: We investigate the problem of joint frequency and power allocation in wireless mesh networks, using a self-pricing game based solution. In traditional pricing game models, the price factor is determined from the global information of the network, which causes heavy communication overhead. To overcome this problem, we propose a self-pricing game model, in which the price factor is determined by the distributed access points processing their individual information; moreover, it is implemented in an autonomous and distributed fashion. The existence and the efficiency of Nash equilibrium (NE) of the proposed game are studied. It is shown that the proposed game based solution achieves near cooperative network throughput while it reduces the communication overhead significantly. Also, a forcing convergence algorithm is proposed to counter the vibration of channel selection. Simulation results verify the effectiveness and robustness of the proposed scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2857/_p
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@ARTICLE{e94-b_10_2857,
author={Xin LIU, Jin-long WANG, Qihui WU, Yang YANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model},
year={2011},
volume={E94-B},
number={10},
pages={2857-2867},
abstract={We investigate the problem of joint frequency and power allocation in wireless mesh networks, using a self-pricing game based solution. In traditional pricing game models, the price factor is determined from the global information of the network, which causes heavy communication overhead. To overcome this problem, we propose a self-pricing game model, in which the price factor is determined by the distributed access points processing their individual information; moreover, it is implemented in an autonomous and distributed fashion. The existence and the efficiency of Nash equilibrium (NE) of the proposed game are studied. It is shown that the proposed game based solution achieves near cooperative network throughput while it reduces the communication overhead significantly. Also, a forcing convergence algorithm is proposed to counter the vibration of channel selection. Simulation results verify the effectiveness and robustness of the proposed scheme.},
keywords={},
doi={10.1587/transcom.E94.B.2857},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model
T2 - IEICE TRANSACTIONS on Communications
SP - 2857
EP - 2867
AU - Xin LIU
AU - Jin-long WANG
AU - Qihui WU
AU - Yang YANG
PY - 2011
DO - 10.1587/transcom.E94.B.2857
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2011
AB - We investigate the problem of joint frequency and power allocation in wireless mesh networks, using a self-pricing game based solution. In traditional pricing game models, the price factor is determined from the global information of the network, which causes heavy communication overhead. To overcome this problem, we propose a self-pricing game model, in which the price factor is determined by the distributed access points processing their individual information; moreover, it is implemented in an autonomous and distributed fashion. The existence and the efficiency of Nash equilibrium (NE) of the proposed game are studied. It is shown that the proposed game based solution achieves near cooperative network throughput while it reduces the communication overhead significantly. Also, a forcing convergence algorithm is proposed to counter the vibration of channel selection. Simulation results verify the effectiveness and robustness of the proposed scheme.
ER -
English
