A Self-Optimizing Fuzzy Logic Model For Managing Vertical Handover In Heterogeneous Mobile Cellular Networks

Abstract

Network optimization is an ongoing process crucial to maintaining Quality of Service in Heterogeneous Networks (Het-Nets). Vertical Handover Optimization (VHDO) specifically addresses mobility-related challenges to ensure seamless service. To further mitigate congestion and enhance VHDO, a mathematical model was developed, designed to function as an intelligent system capable of learning, adaptation, and decision-making. This model also generates algorithms for various VHDO scenarios. The research reviewed existing optimization models and related works, including Multi-Attribute Decision-Making approaches, Pareto optimality (from game theory), and type-2 fuzzy logic, aligning them with the study's theoretical foundation. Data analysis and testing were conducted using a nondeterministic approach, involving data discretization and model simulation. The findings and scenarios demonstrated the effectiveness of the proposed model. The study concludes with a summary of enhancements and provides recommendations for future research directions in optimizing vertical handovers within Het-Nets.