A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks

J Zheng, Y Cai, Xianfu Chen, R Li, H Zhang

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS switching operation. Then, we formulate the problem of energy saving as a constrained graphic game, where each BS acts as a game player with the constraint of traffic load. The constrained graphic game is proved to be an exact constrained potential game. Furthermore, we prove the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization. Accordingly, we design a decentralized iterative algorithm to find the best GNE (i.e., the global optimum), where only local information exchange among the neighboring BSs is needed. Simulation results finally illustrate the convergence and optimality of the proposed algorithm
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationSixth International Conference on Wireless Communications and Signal Processing, WCSP 2014
PublisherInstitute of Electrical and Electronic Engineers IEEE
Number of pages6
ISBN (Electronic)978-1-4799-7339-2
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Wireless Communications and Signal Processing, WCSP 2014 - Hefei, China
Duration: 23 Oct 201425 Oct 2014

Conference

ConferenceInternational Conference on Wireless Communications and Signal Processing, WCSP 2014
Abbreviated titleWCSP 2014
CountryChina
CityHefei
Period23/10/1425/10/14

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Base stations
Energy conservation
Energy efficiency
Energy utilization

Cite this

Zheng, J., Cai, Y., Chen, X., Li, R., & Zhang, H. (2014). A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. In Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014 Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WCSP.2014.6992184
Zheng, J ; Cai, Y ; Chen, Xianfu ; Li, R ; Zhang, H. / A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014. Institute of Electrical and Electronic Engineers IEEE, 2014.
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abstract = "This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS switching operation. Then, we formulate the problem of energy saving as a constrained graphic game, where each BS acts as a game player with the constraint of traffic load. The constrained graphic game is proved to be an exact constrained potential game. Furthermore, we prove the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization. Accordingly, we design a decentralized iterative algorithm to find the best GNE (i.e., the global optimum), where only local information exchange among the neighboring BSs is needed. Simulation results finally illustrate the convergence and optimality of the proposed algorithm",
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Zheng, J, Cai, Y, Chen, X, Li, R & Zhang, H 2014, A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. in Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014. Institute of Electrical and Electronic Engineers IEEE, International Conference on Wireless Communications and Signal Processing, WCSP 2014, Hefei, China, 23/10/14. https://doi.org/10.1109/WCSP.2014.6992184

A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. / Zheng, J; Cai, Y; Chen, Xianfu; Li, R; Zhang, H.

Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014. Institute of Electrical and Electronic Engineers IEEE, 2014.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks

AU - Zheng, J

AU - Cai, Y

AU - Chen, Xianfu

AU - Li, R

AU - Zhang, H

N1 - Project code: 82164

PY - 2014

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N2 - This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS switching operation. Then, we formulate the problem of energy saving as a constrained graphic game, where each BS acts as a game player with the constraint of traffic load. The constrained graphic game is proved to be an exact constrained potential game. Furthermore, we prove the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization. Accordingly, we design a decentralized iterative algorithm to find the best GNE (i.e., the global optimum), where only local information exchange among the neighboring BSs is needed. Simulation results finally illustrate the convergence and optimality of the proposed algorithm

AB - This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS switching operation. Then, we formulate the problem of energy saving as a constrained graphic game, where each BS acts as a game player with the constraint of traffic load. The constrained graphic game is proved to be an exact constrained potential game. Furthermore, we prove the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization. Accordingly, we design a decentralized iterative algorithm to find the best GNE (i.e., the global optimum), where only local information exchange among the neighboring BSs is needed. Simulation results finally illustrate the convergence and optimality of the proposed algorithm

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DO - 10.1109/WCSP.2014.6992184

M3 - Conference article in proceedings

BT - Proceedings

PB - Institute of Electrical and Electronic Engineers IEEE

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Zheng J, Cai Y, Chen X, Li R, Zhang H. A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. In Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014. Institute of Electrical and Electronic Engineers IEEE. 2014 https://doi.org/10.1109/WCSP.2014.6992184