Network selection in wireless heterogeneous networks

Next generation wireless networks are expected to be Heterogeneous consisting of several wireless technologies such as 3G, WLAN, WiMAX, LTE etc. Users of future mobile networks will be able to choose from different radio access technologies. These networks vary widely in service capabilities such as coverage area, bandwidth and error characteristics. Network selection is a challenging task in heterogeneous network and will influence the performance metrics of importance, for both service provider and subscriber. Network selection is performed by using game theory based selection algorithms such as Bush Mosteller based COmbined fully DIstributed PAyoff and Strategy Reinforcement Learning (CODIPAS-RL) and Boltzmann-Gibbs based CODIPAS-RL. In this paper network selection is performed in WLAN-WiMAX integrated networks using Boltzmann-Gibbs based CODIPAS-RL, the performance of which is proved to be better in routing. The parameters such as BER, throughput, Network Selection Probability and payoff for selecting a network are obtained. From the simulation results it is inferred that the performance of Boltzmann-Gibbs based CODIPAS-RL is better than the Bush Mosteller based CODIPAS-RL.