Distributed Resource Scheduling Based on Potential Game in Dense Cellular Network

Based on a potential game model, a distributed resource scheduling scheme is proposed to coordinate severe interference in a dense cellular network. First, the subcarrier and power scheduling problem is modeled as a non-cooperative potential game. Then, individual utility and overall potential functions are proposed by considering attainable throughput and consumed power. According to the definition of the potential game, the difference in individual utilities caused by strategy changing has the same value as the difference in overall potential value, which guarantees that players can maximize respective utility without worsening system profit. Afterward, an iterative searching algorithm is designed to obtain optimal resource scheduling strategy. Theoretical analysis and simulation results both validate that the proposed scheduling scheme makes a performance improvement in spectral and resource efficiency. Meanwhile, the proposed scheme can also guarantee the quality of service by providing superior user signal to interference plus noise ratio.