An intelligent handoff optimization algorithm for network selection in heterogeneous networks

Abstract

Heterogeneous wireless networks are an integration of dissimilar networks for better coverage and spectral efficiency. These networks differ in cost, reliability, bandwidth, coverage, security, and other related parameters. And cell users roam across these networks and gets connected to the new candidate network during handoff to maintain call continuity for uninterrupted service delivery. But the decision of selecting an optimal network in such a diverse environment is a challenge. To cater this, Handoff Optimization Algorithm (HOA) having two phases is proposed-Handoff Initialization phase and Network Selection or Decision making phase. This paper discusses the network selection phase of Handoff Optimization Algorithm (HOA) for Future Networks (FN). Six key parameters based on network, mobile and user interest are selected after careful analysis and understanding. Fuzzy Analytical Hierarchical Process (FAHP) is used to assign weights to these key parameters and then Elimination and Choice Expressing Reality (ELECTRE) is applied to rank different networks. Results show that decision making phase of HOA selects the optima network from among the candidate networks based on network, mobile or user inputs.