• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

Vol. 11, No.12, December 31, 2017
10.3837/tiis.2017.12.002, Download Paper (Free):

Abstract

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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Cite this article

[IEEE Style]
Qingyong Deng, Xueming Li, Zhetao Li, Anfeng Liu and Young-june Choi, "Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source," KSII Transactions on Internet and Information Systems, vol. 11, no. 12, pp. 5712-5728, 2017. DOI: 10.3837/tiis.2017.12.002

[ACM Style]
Deng, Q., Li, X., Li, Z., Liu, A., and Choi, Y. 2017. Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source. KSII Transactions on Internet and Information Systems, 11, 12, (2017), 5712-5728. DOI: 10.3837/tiis.2017.12.002