Efficient Radio Access Technology Selection for the Next Generation Wireless Networks

This paper proposes radio access selection algorithm for the next generation wireless networks. The proposed algorithm uses mobile terminal measurements from different radio access technologies within a given time interval, with aim to obtain information for multi criteria decision making between different access networks available to the terminal. The proposed algorithm uses fuzzy logic controllers, genetic algorithms and particle swarm optimization for decision making under given input criteria on user velocity, type of service and service parameters, Quality of Service and service costs for the mobile user. The algorithm is compared via simulation analysis with well-known algorithm for radio resource management in mobile networks using different velocities of users, different costs, different service types and different number of users present in the heterogeneous environment. Results showed that the proposed mobile terminal based algorithm for radio access technology selection outperforms other algorithms and provides highest user satisfaction from the network selection by the given constraints and criteria.