Adaptive Membership Functions for Handover Decision System in Wireless Mobile Network

Abstract

Wireless mobile networks in the future are envisioned to demand more intelligent handover decision mechanisms to achieve seamless mobility and services. Fuzzy logic algorithms were proposed to enhance the handover decision process in recent years. However, most proposed algorithms deploy fixed fuzzy membership functions (FMFs). This approach gives an unsatisfactory network selection performance when different traffic types (service options) are required. In this work, we are proposing a new approach to handover decision system (HDS) design. The proposed design incorporates self-tuning of FMFs, which dynamically modifies the FMFs to match the requirements requested. The simulation results show improvements in network selection performance.