Simulation of Dynamic Scheduling of Redundant Nodes in Sparse Multi-path Channels of Communication Network Based on Python

Based on the simulation of the combination of Python and C language, this paper simulates the dynamic scheduling of redundant nodes in the sparse multipath channel of the communication network. In this paper, a square matrix of sparse multipath channels is established, the gain vector of the channel is obtained, and a sparse multipath channel model of the communication network is constructed; on the basis of this model, the coverage of redundant nodes and normal nodes is determined. This article introduces the dynamic scheduling algorithm to complete the dynamic scheduling of redundant nodes.