基于预测的5G网络切片算法

5G网络实时应用场景对网络切片的建立提出了严格的要求，需要使用预测算法提前隔离资源，降低网络切片的建立时间。提出了基于预测的 5G 网络切片算法，以四阶矩为代价函数，在算法复杂度不高的前提下提供必要的预测精度，根据预测结果在5G网络中提前隔离虚拟节点资源和虚拟链路资源，当网络切片请求到达时，直接拉起容器，完成网络切片的动态创建。仿真结果表明，所提算法的预测精度能够达到 90%，在复用原始网络切片资源的条件下，新请求网络切片的创建时间减少50%。

5G network slicing algorithm based on prediction

5G on line scenario needs short build time of network slice, it can use prediction algorithm to isolate network resource in advance to reduce the construction time of network slice.A 5G network slicing algorithm based on prediction was proposed, which used fourth square as cost function to predict the network resource requests with accepted accurate and lower complexity of algorithm.And then based on the prediction result, virtual nodes and links resource were allocated, and container was pulled up when network slice request arrives to network, the dynamic creation of network slices was completed.The simulation results show that the proposed algorithm can get 90% accurate of prediction, and reduce 50% construction time of network slice, and improve the network utilization ration，when new network slice reusing the original network slice.