Performance evaluation of overlap mitigation through spatial adaptive play for dense wlans

Interference management is indispensable for dense wireless networks to improve system performance. Reduction in spatial channel overlap is one of the most effective approaches, which leads to an increase in the transmission opportunity of each access point (AP) and mitigation of channel interference at a reception point. In this paper, coverage overlap is modeled as a subset of two-dimensional Euclidean plane, and a joint decentralized scheme of transmission power control (TPC) and dynamic channel assignment (DCA) is described for reduction in the coverage overlap. In particular, the DCA scheme can be formulated as a potential game in which unilateral improvement dynamics are guaranteed to converge to a Nash equilibrium. The novel feature of this paper is that spatial adaptive play (SAP) is employed for channel update algorithm to achieve more improvement of the reduction in the total channel overlap area. Simulation results show that the scheme based on SAP is more effective to reduce the total channel overlap area than best response based learning algorithm.