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Low Complex Energy-Efficient Resource Allocation in Femtocell Networks

Zhicai Zhang, Fengchao Fu, Xiangming Wen , Zhaoming Lu, Jun Zhao, and Wenpeng Jing
Beijing University of Posts and Telecommunications, Beijing 100000, China
Abstract—Femtocells have attracted growing attention in academia, industry, and standardization forums in recent years. However, most of existing works on femtocell networks are focused on spectrum efficiency and interference mitigation, energy efficiency aspect is neglected. In this paper, we investigate the energy efficient resource allocation of downlink femtocell networks in sparsely and densely deployed scenario respectively. To decrease the complexity, joint subchannel allocation and power control are decomposed into two steps. Firstly, given subchannel allocation, a closed-form best response of transmit power is obtained. Secondly, a fair energy efficient subchannel allocation metric has been derived out. At last, we propose a distributed suboptimal subchannel allocation and low-complex power control algorithm. Simulation results show that the proposed algorithm has a low complexity with slight loss of energy efficiency compared with Round-Robin Scheduling and a non-cooperative energy-efficient power optimization algorithm.

Index Terms—femtocell, energy efficiency, resource allocation, exponentially-weighted low-pass filter, game theory

Cite: Zhicai Zhang, Fengchao Fu, Xiangming Wen , Zhaoming Lu, Jun Zhao, and Wenpeng Jing, "Low Complex Energy-Efficient Resource Allocation in Femtocell Networks," Journal of Communications, vol. 9, no. 4, pp. 343-349, 2014. Doi: 10.12720/jcm.9.4.343-349
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