An entropy-based hybrid mechanism for large-scale wireless network traffic prediction

GNN Barbosa, MA Lopez… - 2021 International …, 2021 - ieeexplore.ieee.org
The rising of the Internet of Things (IoT) applications fosters the exponential increase of
smart devices, expanding the Internet's attacking surface. Anomaly prediction mechanisms …

Wireless traffic prediction with series fluctuation pattern clustering

X Xing, Y Lin, H Gao, Y Lu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Accurate traffic prediction is vital in intelligent wireless network, which enables intelligent
operation to improve the quality of experience of users. In this paper, we propose a wireless …

The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice

R Li, Z Zhao, X Zhou, J Palicot… - IEEE Communications …, 2014 - ieeexplore.ieee.org
Although the research on traffic prediction is an established field, most existing works have
been carried out on traditional wired broadband networks and rarely shed light on cellular …

LNTP: An end-to-end online prediction model for network traffic

L Zhang, H Zhang, Q Tang, P Dong, Z Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

Dual attention-based federated learning for wireless traffic prediction

C Zhang, S Dang, B Shihada… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Wireless traffic prediction is essential for cellular networks to realize intelligent network
operations, such as load-aware resource management and predictive control. Existing …

MSTL-GLTP: A global–local decomposition and prediction framework for wireless traffic

H Nan, X Zhu, J Ma - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things and increasingly rigid communication
requirements, the wireless traffic prediction framework is experiencing a transition from …

Delay prediction in IoT using machine learning approach

AR Abdellah, OA Mahmood… - 2020 12th International …, 2020 - ieeexplore.ieee.org
The combination of 5G, artificial intelligence, and the Internet of Things will have a great
impact on future generations of wireless networks. Internet of Things (IoT) is expected to …

Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification

Y Xu, F Yin, W Xu, J Lin, S Cui - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …

A stacked broad learning system with multitask learning method for cellular wireless network traffic prediction

L Zhu, B Zhao, Y An - Soft Computing, 2023 - Springer
With the development of 5G networks, cellular wireless networks are becoming more diverse
and intelligent. As an important part of intelligent network management, wireless network …

[HTML][HTML] 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 …