Game-Theoretic Resource Allocation of the Cognitive Base Station in Two-Tie Co-existing Femtocell Networks

Abstract

Femtocells will be widely employed in the next generation wireless networks since they improve indoor capacity and coverage with low cost and low power characteristics. However since macro cells may have to share the same spectrum with femtocells, resource allocation schemes have been a key challenge to manage interference. In this paper, we propose a novel resource allocation scheme based on cognitive technologies and cooperative game theory. The competition among the Femtocell Access Points (FAPs) for spectrum resource and power resource is formulated as a game-theoretic problem. We solve the problem by integrating Dynamic Sub carrier Allocation (DSA) algorithm and Adaptive Power Allocation (APA) algorithm implemented by the cognitive macro cell Base Station, so that the interference is reduced and the transmitting rate is increased. Simulation results show that compared with the max-rate algorithm and max-min fairness algorithm, the scheme we proposed achieves a better trade-off between the transmitting rate and the fairness.