Energy-efficient resource optimization in OFDMA-based dense femtocell networks

Femtocells have attracted growing attentions in academia, industry, and standardization forums in recent years. In this paper, we investigate a distributed radio resource allocation scheme to maximize the energy-efficiency in uplink OFDMA dense femtocell networks. We model the subchannel allocation and power control problem as a non-cooperation game. Due to the fact that joint subchannel allocation and power control problem is NP-hard, for decreasing the complexity, we decompose the resource allocation problem into two subproblems. A distributed subchannel allocation algorithm and an optimal power allocation algorithm are proposed to resolve the resource allocation problem. Simulation results show the proposed algorithm has better performance in terms of throughput and energy-efficiency.