The Research on Flow Prediction of Metropolitan Area Network Based on Recurrent Neural Network | |
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( Volume 6 Issue 2,February 2020 ) OPEN ACCESS | |
Author(s): | |
Zhang Qian, Qi Chao | |
Abstract: | |
With the issuance of 5G operation license, the construction of communication network is like a raging fire. The prediction of city network flow is becoming more and more important in operators’ communication engineering planning and design as well as equipment purchase. There exist some limitations of the traditional prediction of city network flow when used in the analysis of current flow prediction, so it is essential to explore a new predictive method of city network flow. Basing on flow prediction of metropolitan area network based on recurrent neural network, this paper discussed the modeling and prediction of metropolitan area network data flow, taking some area’s data flow as research object. The prediction result shows that there’s smaller error. And at the same time, it is proved that it is feasible to predict the peak flow of metropolitan area network through the recurrent neural network. |
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