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 rapid advancement in artificial intelligence and machine learning techniques,
availability of large-scale data, and increased computational capabilities of the machine …

Traffic prediction of wireless networks attracted many researchers and practitioners during
the past decades. However, wireless traffic frequently exhibits strong nonlinearities and …

Accurate and real-time prediction of network traffic can not only help system operators
allocate resources rationally according to their actual business needs but also help them …

The cognitive radio (CR) network consists of primary users (PUs) and secondary users
(SUs). The SUs in the CR network senses the spectrum band to opportunistically access the …

Timely and accurate cellular traffic prediction is difficult to achieve due to the complex spatial-
temporal characteristics of cellular traffic. The latest approaches mainly aim to model local …

With the rapid development of mobile cellular technologies and the increasing popularity of
mobile and Internet of Things (IoT) devices, timely mobile traffic forecasting with high …

Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

Prediction of user traffic in cellular networks has attracted profound attention for improving
the reliability and efficiency of network resource utilization. In this paper, we study the …

With the rapid development of telecommunication networks, the predictability of network
traffic is of significant interest in network analysis and optimization, bandwidth allocation …