State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, School of Information and Technology, Northwest University, Xi’an, China
Ling Gao
State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, School of Information and Technology, Northwest University, Xi’an, China
Haijun Zhang
Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China
Dongxiao Zhu
Department of Computer Science, Wayne State University, Detroit, MI, USA
Hai Wang
State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, School of Information and Technology, Northwest University, Xi’an, China
Quanli Gao
State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, Xi’an Polytechnic University, Xi’an, China
Victor C. M. Leung
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada
Interference management and energy management are two important issues in ultra-dense heterogeneous cellular networks (HetNets). However, load balancing investigated for system capacity on interference coordination is not efficient for energy saving in HetNets. Meanwhile, the maximum energy efficiency configuration leads to the serious unfair problem for users associated with larger power node for the ultra-dense scenario. Thus, in this paper, we investigate energy consumption jointly together with interference coordination for ultra-dense HetNets, and formulate max-min energy-efficient enhanced intercell interference coordination configuration problem. Due to the non-smooth and mixed programming nature of this formulation, we propose a novel iterative and distributed algorithm to solve the problem by using fractional programming and Lagrangian dual theory. The simulation results verified the effectiveness of our proposed algorithm and fairness achieved for energy efficiency of users, it especially identified a new energy efficiency tradeoff between macro user and small cell user with interference coordination in ultradense HetNets.
