… the problem of 5G traffic management. In this article, we investigate the new characteristics
of 5G wireless network traffic and discuss challenges they present for 5G traffic management. …

… , artificial intelligence technology and SDN technology to the network to achieve intelligent
network control and traffic … network traffic algorithm optimization and experimental verification. …

… , the network community is likewise seeking to leverage AI into future network management,
especially network traffic control (NTC), which has been a crucial component of network …

… and artificial intelligence in SDN/NFV networks. Then, this paper proposes a framework for
network intelligent traffic management and optimization, and analyzes network congestion …

… In this work, we propose a network traffic prediction method considering road traffic … that
network traffic is predicted due to road traffic happening. We try different machine learning and …

… techniques and their application towards traffic prediction. … related to traffic prediction
based on Artificial Intelligence. … downside of traffic splitting is that it interrupts network traffic for …

… -time network traffic management in a circuit-switched network--typically an Integrated Digital
Network (… Traffic overloads and equipment failure are typical of the conditions under which …

… years, traffic congestion prediction has led to a growing research area, especially of machine
learning of artificial intelligence (AI… Traffic congestion prediction, especially short-term traffic …

… intelligent network traffic control systems. … intelligent traffic control systems facilitated by
deep learning based routing. Since network traffic grows exponentially in the recent years, traffic …

… traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad
of cameras installed over a network. … traffic footage using deep convolutional neural networks …