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Mobile Information Systems
Volume 2016 (2016), Article ID 3175982, 9 pages
Research Article

Energy Cost Minimization in Heterogeneous Cellular Networks with Hybrid Energy Supplies

School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China

Received 23 June 2016; Accepted 29 August 2016

Academic Editor: William Liu

Copyright © 2016 Bang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The ever increasing data demand has led to the significant increase of energy consumption in cellular mobile networks. Recent advancements in heterogeneous cellular networks and green energy supplied base stations provide promising solutions for cellular communications industry. In this article, we first review the motivations and challenges as well as approaches to address the energy cost minimization problem for such green heterogeneous networks. Owing to the diversities of mobile traffic and renewable energy, the energy cost minimization problem involves both temporal and spatial optimization of resource allocation. We next present a new solution to illustrate how to combine the optimization of the temporal green energy allocation and spatial mobile traffic distribution. The whole optimization problem is decomposed into four subproblems, and correspondingly our proposed solution is divided into four parts: energy consumption estimation, green energy allocation, user association, and green energy reallocation. Simulation results demonstrate that our proposed algorithm can significantly reduce the total energy cost.