Intelligent handoff decision in radio heterogeneous network

In order to improve the accuracy of vertical handoff decision for radio heterogeneous network, this paper proposes an intelligent adaptive multi-criteria vertical handoff (AMVHO) decision algorithm. This algo-rithm uses a fuzzy inference system (FIS) and a modified Elman neural network (MENN). The FIS adopts the crucial criteria of vertical handoff as input variables and makes handoff decision based on the defined rule base. The MENN helps to predict the number of users of the after-bandoff network, which is a pivotal variable of the FIS. Simulation results show that, compared with the conventional method, the AMVHO decision algorithm a-chieves better performance in guaranteeing the quality of service (QoS) of the after-handoff communication.