A survey on traffic prediction techniques using artificial intelligence for communication networks

A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

[PDF][PDF] Applying machine learning approaches for network traffic forecasting

S Prajam, C Wechtaisong, AA Khan - Indian Journal of Computer Science …, 2022 - ijcse.com
In the era of the digital world. The communication and the use the internet is an important
role in today's society. As a result, the number of users networks traffic increases but not …

A review of network traffic analysis and prediction techniques

M Joshi, TH Hadi - arXiv preprint arXiv:1507.05722, 2015 - arxiv.org
Analysis and prediction of network traffic has applications in wide comprehensive set of
areas and has newly attracted significant number of studies. Different kinds of experiments …

Network traffic prediction incorporating prior knowledge for an intelligent network

C Pan, Y Wang, H Shi, J Shi, R Cai - Sensors, 2022 - mdpi.com
Network traffic prediction is an important tool for the management and control of IoT, and
timely and accurate traffic prediction models play a crucial role in improving the IoT service …

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 …

A network traffic forecasting method based on SA optimized ARIMA–BP neural network

H Yang, X Li, W Qiang, Y Zhao, W Zhang, C Tang - Computer Networks, 2021 - Elsevier
Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …

A meta-learning scheme for adaptive short-term network traffic prediction

Q He, A Moayyedi, G Dán… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Network traffic prediction is a fundamental prerequisite for dynamic resource provisioning in
wireline and wireless networks, but is known to be challenging due to non-stationarity and …

Traffic prediction based on ensemble machine learning strategies with bagging and lightgbm

H Xia, X Wei, Y Gao, H Lv - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the development of mobile networks, one of the main challenges is performing accurate
prediction in order to maximize resource usage, saving energy and improving quality of …

Network traffic prediction based on LSTM and transfer learning

X Wan, H Liu, H Xu, X Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing amount of traffic in recent years has led to increasingly complex network
problems. To be able to improve overall network performance and increase network …

Traffic prediction using multifaceted techniques: A survey

S George, AK Santra - Wireless Personal Communications, 2020 - Springer
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …