Self-tuning handover algorithm based on fuzzy logic in mobile networks with dense small cells

Abstract

Cellular networks are undergoing a major shift in their deployment and optimization. New infrastructure elements, such as small base stations, are being massively deployed, thus making future 5G cellular systems and networks heterogeneous. In order to operate successfully in a dense deployment, the small cells should have efficient self-organizing capabilities to intelligently adapt themselves to the neighborhood. In this paper, we introduce a novel handover algorithm targeting to reduce an amount of ping pong handovers and a handover failure ratio. The novel handover integrates a channel quality and UE's velocity into a derivation of a new fuzzy logic-based threshold that is exploited for handover decision. Simulation results show that the proposed algorithm efficiently suppresses ping pong effect comparing to competitive algorithms and keeps it at negligible level (below 1%). At the same time, handover failure ratio is also reduced comparing to the competitive algorithms.