Handover Detection of WAN Using Fuzzy Inference System

Abstract

In Wide Area Network (WAN) users experience frequent handover while on a high-speed vehicle. In 4G and 5G mobile communication, the coverage area of cells is reduced compared to 3G systems therefore handover occurs frequently. An intelligent handover decision is essential to protect unnecessary handover to reduce network overhead on control plane (the activities of control channels). Moreover, handover failure or forced termination deteriorates the QoS of the network on user plane i.e. the data flow of traffic channels. In this paper, a Fuzzy Inference System (FIS) is developed to make the correct decision of handover. Here four fuzzy variables: velocity of mobile station (MS), SNR of received signal, SINR of received signal and acceleration of MS are used, where each of the variables possess 3 to 5 linguistic values. Around 200 Fuzzy rules are applied to link crisp and fuzzy values. Finally, four defuzzification methods: Centroid, Bisection, MOM and LOM are used to take the decision of handover and a comparison is made among them in both tabular form and using surface plot. All of the four methods ensure correct decision of above 92% and the best one is 100%.