Title :
Optimizing cell size for energy saving in cellular networks with hybrid energy supplies
Author :
Tao Han ; Ansari, Nayeem
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
Green communications has received much attention recently. For cellular networks, the base stations (BSs) account for more than 50 percent of the energy consumption of the networks. Therefore, reducing the power consumption of BSs is crucial to achieve green cellular networks. In this paper, we optimize the energy utilization in cellular networks whose BSs are powered with both regular energy from the grid and the renewable energy. We minimize the on-grid energy consumption of BSs by adapting their cell sizes. The cell size optimization problem is NP-hard. We divide the problem into two subproblems: the multi-stage energy allocation problem and energy consumption minimization problem. We propose an energy allocation policy and an approximation algorithm to solve these subproblems, respectively, and subsequently solve the cell size optimization problem. Simulation results demonstrate that the proposed solution achieves significant energy savings.
Keywords :
cellular radio; energy consumption; environmental factors; minimisation; approximation algorithm; cell size optimization problem; cellular network; energy allocation policy; energy consumption minimization problem; energy saving; energy utilization; green communication; hybrid energy supplies; multistage energy allocation problem; on-grid energy consumption; power consumption;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2012.6503944