Fuzzy neural network based access selection algorithm in heterogeneous wireless networks
Xia Chuan-jun · Journal of Communications · 2010
Aiming at working out the problem that fuzzy logic and neural network based access selection algorithm didn’t consider the load state reasonably in heterogeneous wireless network,a RBF(radial basis function) fuzzy neural network based access selection algorithm was proposed.The algorithm executed factors reinforcement learning for the fuzzy neu-ral network with the objective of the equal blocking probability of accessible networks to adapt for load state dynamically,and achieved the intelligent access judgment.The simulation results show that the algorithm can balance the load of het-erogeneous wireless networks effectively and guarantee the QoS of real time and non-real time services,as well as de-crease the blocking probability compared to the maximum load balance based algorithm(MLB algorithm).