KSII Transactions on Internet and Information Systems (TIIS)

  • 제11권12호
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  • Pages.5712-5728
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  • 2017
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

  • Deng, Qingyong (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications) ;
  • Li, Xueming (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications) ;
  • Li, Zhetao (College of Information Engineering, Xiangtan University) ;
  • Liu, Anfeng (School of Information Science and Engineering, Central South University) ;
  • Choi, Young-june (Department of Software, Ajou University)
  • 투고 : 2017.03.21
  • 심사 : 2017.08.20
  • 발행 : 2017.12.31
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초록

Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day's electricity cost of individual BS.

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참고문헌

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