基于接收信号强度预测的自适应垂直切换算法OACSTPCD

In the urban scenario,movement states and service types of vehicle terminals in ultra-dense heterogeneous wire-less networks vary greatly.To address the frequent handoff and congestion problems caused by concurrent access of termi-nals with different movement states and service types,this paper proposes an adaptive vertical handoff algorithm based on received signal strength prediction.Firstly,the received signal strength is predicted using a long short-term memory neural network in the handoff trigger phase.Secondly,network parameters and access preferences of terminals under different movement states and service types are considered in the network selection phase.The network with the highest comprehen-sive benefit value is selected as the target network.Finally,simulation results show that the algorithm can adapt to changes in terminal movement states and service types,and reduce the number of unnecessary handoffs and network congestion.