A novel resource allocation algorithm in uplink multi-cell OFDMA networks based on game theory

Abstract

In a full frequency reused OFDMA system, inter-cell interference severely restricts the system's performance. Resource allocation, as an effective interference mitigation technique, is a key technique in the OFDMA system. In this paper, we investigate a novel resource allocation algorithm based on game theory. Firstly, available subcarriers are allocated according to the normalized channel gain. When it comes to power allocation, a novel non-cooperative game model based on arc tangent function is established. To ensure fairness, we introduce a pricing function to the utility function. Simulation results show that our proposed algorithm can acquire higher rate than previous algorithms at a reasonable power cost. Moreover, our proposed algorithm can converge within 5 iterations with low complexity.