An interference-mitigation channel allocation algorithm for energy-efficient femtocell networks

With the dense deployment of femtocell, interference control is becoming a major challenge for resource management in femtocell networks. Most of the existing works focus on improving throughput or reducing the total power consumption respectively, neglecting the energy consumption. In this paper, we investigate energy efficiency aspect in a femtocell network and propose an interference-mitigation channel allocation algorithm aiming to maximize the energy efficiency with QoS constraints. The algorithm also mitigates the co-tiered interference and the cross-tiered interference. Moreover, we formulate the energy efficiency of the femtocell networks as an optimization problem. An iteration algorithm based on Chemical-reaction is proposed to solve the energy efficiency maximum problem. Simulation results show that the proposed algorithm can improve energy efficiency by about 17.6% and throughput by about 30% compared with the existing algorithm.