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 …

The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

5G cellular networks are assumed to be the key enabler and infrastructure provider in the
ICT industry, by offering a variety of services with diverse requirements. The standardization …

Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …

With accurate traffic prediction, future cellular networks can make self-management and
embrace intelligent and efficient automation. This letter devotes itself to citywide cellular …

It is widely acknowledged that network slicing can tackle the diverse use cases and
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …

It is widely acknowledged that network slicing can tackle the diverse usage scenarios and
connectivity services that the 5G-and-beyond system needs to support. To guarantee …

Wireless traffic prediction is essential for cellular networks to realize intelligent network
operations, such as load-aware resource management and predictive control. Existing …

Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …

With the rapid development of wireless networks, the self-management and active
adjustment capabilities of base stations have become crucial. The accurate prediction of …