Cellular traffic prediction with machine learning: A survey
W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …
support billions of mobile users and devices. Powered by artificial intelligence techniques …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Cellular traffic prediction and classification: A comparative evaluation of LSTM and ARIMA
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 …
the reliability and efficiency of network resource utilization. In this paper, we study the …
Long-term data traffic forecasting for network dimensioning in LTE with short time series
Network dimensioning is a critical task in current mobile networks, as any failure in this
process leads to degraded user experience or unnecessary upgrades of network resources …
process leads to degraded user experience or unnecessary upgrades of network resources …
Cellular traffic prediction based on an intelligent model
FW Alsaade… - Mobile information …, 2021 - Wiley Online Library
The evolution of cellular technology development has led to explosive growth in cellular
network traffic. Accurate time‐series models to predict cellular mobile traffic have become …
network traffic. Accurate time‐series models to predict cellular mobile traffic have become …
Energy and resource efficiency by user traffic prediction and classification in cellular networks
There is a lack of research on the analysis of per-user traffic in cellular networks, for deriving
and following traffic-aware network management. In fact, the legacy design approach, in …
and following traffic-aware network management. In fact, the legacy design approach, in …
User traffic prediction for proactive resource management: Learning-powered approaches
A Azari, P Papapetrou, S Denic… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Traffic prediction plays a vital role in efficient planning and usage of network resources in
wireless networks. While traffic prediction in wired networks is an established field, there is a …
wireless networks. While traffic prediction in wired networks is an established field, there is a …
Cellular traffic prediction via deep state space models with attention mechanism
Cellular traffic prediction is of great importance for operators to manage network resources
and make decisions. Traffic is highly dynamic and influenced by many exogenous factors …
and make decisions. Traffic is highly dynamic and influenced by many exogenous factors …
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
Network traffic prediction techniques have attracted much attention since they are valuable
for network congestion control and user experience improvement. While existing prediction …
for network congestion control and user experience improvement. While existing prediction …
[Retracted] Network Traffic Forecasting in Network Cybersecurity: Granular Computing Model
A Alzahrani, THH Aldhyani, SN Alsubari… - Security and …, 2022 - Wiley Online Library
Industry 4.0, also known as the Internet of Things, is a concept that encompasses the joint
applicability of operation, the Internet, and information technologies to expand the efficiency …
applicability of operation, the Internet, and information technologies to expand the efficiency …