Abstract: Addressing the vertical handover issue in heterogeneous wireless networks, this paper proposes a algorithm based on hybrid filter and fuzzy neural networks, taking into account different service types and network-side parameters. Firstly, a combined approach of Kalman filter and moving average filter is employed to process the received signals. Subsequently, the processed received signal strength (RSS), bandwidth, and delay are used as inputs to the fuzzy neural network, which outputs evaluation scores for candidate networks. Finally, the system selects the optimal access network based on different service types and the evaluation scores of the networks. Simulation results demonstrate that the proposed algorithm can make reasonable decisions in complex and dynamic heterogeneous wireless network scenarios, effectively reducing the probabilities of handover failure and service blocking, enhancing system throughput, and ensuring the quality of service (QoS) for users.

Key words: heterogeneous wireless network, vertical handover, Kalman filter, moving average filter, fuzzy neural network