A Cognitive Access Selection Approach for Heterogeneous Wireless Networks Based on Fuzzy Logic

Abstract

At present, lots of work focus on spectrum allocation of wireless networks, and pay little attention about optimization network access. In this paper, we propose a cognitive access selection approach of heterogeneous wireless networks based on fuzzy logic. By means of established access selection factors and its membership functions(MFs), we can access optimal network using presupposition fuzzy rules according to service types. Finally, simulation experiments shown the approach is effective.