New survey on deep learning solutions for cellular traffic prediction
The bustling streets of a modern city are filled with countless individuals using their smartphones for streaming videos, sending messages and browsing the web. In the era of rapidly expanding 5G networks and the omnipresence of mobile devices, the management of cellular traffic has become increasingly complex. To address this challenge, mobile network operators need methods for the accurate prediction of cellular traffic. A comprehensive survey published 5 Jan. in Intelligent Computing explores deep learning techniques for cellular traffic prediction.
Better cellular traffic prediction would enhance intelligent 5G network construction and resource management, thereby ...










