Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

With the rapid development of the fifthgeneration wireless communication systems, a
profound revolution in terms of transmission capacity, energy efficiency, reliability, latency …

The tremendous growth rate of global internet traffic in past years increases the importance
of traffic prediction for network operators to ensure seamless Quality of Service (QoS) with …

Predictive analysis on cellular traffic is important for the control and monitoring of wireless
networks. Cellular traffic prediction is a challenging problem due to the non-stationarity and …

The rapid growth of cellular data traffic is creating a variety of challenges that will only be
accentuated with the consolidation of 5G networks and the emergence of 6G networks. In …

With the widespread deployment of 5G networks and the proliferation of mobile devices,
mobile network operators are confronted not only with massive data growth in mobile traffic …

Mobile network traffic prediction is an important input into network capacity planning and
optimization. Existing approaches may lack the speed and computational complexity to …

Wireless traffic prediction is indispensable for network planning and resource management.
Due to different population distributions and user behavior, there exist strong spatial …

Traffic prediction acts as a fundamental function in the management and optimization of
networks and services. There are emerging requirements for extraordinary traffic prediction …