Utility fair resource allocation based on game theory in OFDM systems

Radio resource allocation is one of the key technologies in orthogonal frequency division multiplexing (OFDM) cellular systems, where subcarriers andpower are schedulable resources. In this paper, we solve the fair resource allocation problem based on the idea of the Nash bargaining solution (NBS) from cooperative game theory, which not only provides the resource allocation of users that are Pareto optimalfrom the view of the whole system, but also are consistent with the fairness axioms of game theory. We develop a suboptimal solution of NBS via Ion-pass time window filter and first-order Taylor expansion, and then propose an efficient and practical dynamic subearriers allocation algorithm. Simulation results show that the proposed dynamic subcarriers allocation algorithm providing utility fairness and improving system capacity.