Smart Grid Enabled Mobile Networks: Jointly Optimizing BS Operation and Power Distribution

• Published in: IEEE/ACM transactions on networking Vol. 25; no. 3; pp. 1832 - 1845
• Main Authors: Xueqing Huang, Tao Han, Ansari, Nirwan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air pollution; Alternative energy; Clean energy; Consumption; Control systems; Electric power distribution; Energy exchange; Energy technology; Environmental impact; green energy sharing; Green products; Mobile communication; Mobile computing; on-grid energy consumption; Optimization; Power consumption; Power demand; Renewable energy; Smart grid; Smart grids; Sustainable development; wireless access networks; Wireless networks
• ISSN: 1063-6692; 1558-2566
• DOI: 10.1109/TNET.2017.2655462

With the development of green energy technologies, base stations (BSs) can be readily powered by green energy in order to reduce the on-grid power consumption, and subsequently reduce the carbon footprints. As smart grid advances, power trading among distributed power generators and energy consumers will be enabled. In this paper, we investigate the optimization of smart grid-enabled mobile networks, in which green energy is generated in individual BSs and can be shared among the BSs. In order to minimize the on-grid power consumption of this network, we propose to jointly optimize the BS operation and the power distribution. The joint BS operation and power distribution optimization (BPO) problem is challenging due to the complex coupling of the optimization of mobile networks and that of the power grid. We propose an approximate solution that decomposes the BPO problem into two subproblems and solves the BPO by addressing these subproblems. The simulation results show that by jointly optimizing the BS operation and the power distribution, the network achieves about 18% on-grid power savings.