Optimal Simulation Design of IT Mobile Communication Network Based on BP Algorithm

The network communication optimization simulation design is critical in Io T mobile communication network, however it has an issue with erroneous performance positioning. The typical Genetic algorithm is unable to address the optimization simulation issue in Io T mobile communication network, and the result is insufficient. As a result, a BP algorithm-based optimal simulation design of IT mobile communication network is provided, and optimal simulation design of IT mobile communication network is assessed. To begin, the multi layer perceptron theory is used to discover the influencing elements, and the indicators are split based on the network communication optimization simulation design's needs to decrease interference factors in the network communication optimization simulation design. The multi layer perceptron theory is then used to create a BP algorithm network communication optimization simulation design scheme, and the outcomes of the network communication optimization simulation design are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the BP algorithm outperforms the standard Genetic algorithm in terms of network communication optimization simulation design accuracy and time of influencing variables.