NDLI: A game-theoretic approach for optimal base station sleeping in green cellular networks

Content Provider	IEEE Xplore Digital Library
Author	Jianchao Zheng Yueming Cai Xianfu Chen Rongpeng Li Honggang Zhang
Copyright Year	2014
Description	Author affiliation: Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China (Jianchao Zheng; Yueming Cai) \|\| VTT Tech. Res. Centre of Finland, Oulu, Finland (Xianfu Chen) \|\| Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China (Rongpeng Li; Honggang Zhang)
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.
Starting Page	1
Ending Page	6
File Size	241274
Page Count	6
File Format	PDF
ISBN	9781479973392
DOI	10.1109/WCSP.2014.6992184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Greedy algorithms Energy consumption Power demand Green cellular networks Switches Potential game Generalized Nash equilibrium Convergence Graphics Distributed cooperation Games Energy efficiency Decentralized algorithm Base station sleeping
Content Type	Text
Resource Type	Article

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