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It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.3 pp.818-822

- Publication Date
- 2011/03/01

- Publicized

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.E94.B.818

- Type of Manuscript
- LETTER

- Category
- Network

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YanBing LIU, Tao WU, XingPing XIAN, "A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 3, pp. 818-822, March 2011, doi: 10.1587/transcom.E94.B.818.

Abstract: It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.

URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.818/_p

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@ARTICLE{e94-b_3_818,

author={YanBing LIU, Tao WU, XingPing XIAN, },

journal={IEICE TRANSACTIONS on Communications},

title={A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks},

year={2011},

volume={E94-B},

number={3},

pages={818-822},

abstract={It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.},

keywords={},

doi={10.1587/transcom.E94.B.818},

ISSN={1745-1345},

month={March},}

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TY - JOUR

TI - A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks

T2 - IEICE TRANSACTIONS on Communications

SP - 818

EP - 822

AU - YanBing LIU

AU - Tao WU

AU - XingPing XIAN

PY - 2011

DO - 10.1587/transcom.E94.B.818

JO - IEICE TRANSACTIONS on Communications

SN - 1745-1345

VL - E94-B

IS - 3

JA - IEICE TRANSACTIONS on Communications

Y1 - March 2011

AB - It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.

ER -