Using adaptive agent-based approach to iterative distributed swapping prediction for interference reduction in cellular systems

In todaypsilas high density wireless networks, interference is considered one of the main factors limiting the capacity and increasing the new call blocking probability of a cellular system. In this paper we discuss and analyze interference scenarios in cellular systems and we propose a novel scheme based on iterative distributed swapping scheme to reduce the interference they experience.