Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

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 …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
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 …

A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning

D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …

[HTML][HTML] Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

Big data in forecasting research: a literature review

L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

A deep learning method based on an attention mechanism for wireless network traffic prediction

M Li, Y Wang, Z Wang, H Zheng - Ad Hoc Networks, 2020 - Elsevier
With the rapid development of wireless networks, the self-management and active
adjustment capabilities of base stations have become crucial. The accurate prediction of …

A reinforcement learning-based network traffic prediction mechanism in intelligent internet of things

L Nie, Z Ning, MS Obaidat, B Sadoun… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Intelligent Internet of Things (IIoT) is comprised of various wireless and wired networks for
industrial applications, which makes it complex and heterogeneous. The openness of IIoT …

Predictive deployment of UAV base stations in wireless networks: Machine learning meets contract theory

Q Zhang, W Saad, M Bennis, X Lu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, a novel framework is proposed to enable a predictive deployment of
unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground …

Mvstgn: A multi-view spatial-temporal graph network for cellular traffic prediction

Y Yao, B Gu, Z Su, M Guizani - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
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 …