A dynamic channel allocation algorithm based on back-propagation neural network for vertical handover in HetNets

Abstract

The vertical handover decision algorithm plays an important role to guarantee the seamless mobility in a single mobile terminal for heterogeneous wireless networks in the next generation. Hence, the efficient management of available radio resource utilization becomes crucial to maintain uninterrupted communication. The major contributions of this paper consist of the channel allocation based on a backpropagation neural network (BPNN) that reduces the dropped call and data packet delay. Second, the channel allocation scheme and vertical handover management are associated to provide quality of service (QoS). The simulation results indicate that our proposed algorithm significantly enhance the overall performance compared with previous methods. © 2016 IEEE.