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 …

Next generation 5G wireless networks: A comprehensive survey

M Agiwal, A Roy, N Saxena - IEEE communications surveys & …, 2016 - ieeexplore.ieee.org
The vision of next generation 5G wireless communications lies in providing very high data
rates (typically of Gbps order), extremely low latency, manifold increase in base station …

Massive MIMO networks: Spectral, energy, and hardware efficiency

E Björnson, J Hoydis… - Foundations and Trends® …, 2017 - nowpublishers.com
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

User association in 5G networks: A survey and an outlook

D Liu, L Wang, Y Chen, M Elkashlan… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic
with reduced energy consumption and improved quality of service (QoS) provision. To this …

Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data

C Zhang, H Zhang, J Qiao, D Yuan… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Machine (deep) learning-enabled accurate traffic modeling and prediction is an
indispensable part for future big data-driven intelligent cellular networks, since it can help …

Security for 4G and 5G cellular networks: A survey of existing authentication and privacy-preserving schemes

MA Ferrag, L Maglaras, A Argyriou, D Kosmanos… - Journal of Network and …, 2018 - Elsevier
This paper presents a comprehensive survey of existing authentication and privacy-
preserving schemes for 4G and 5G cellular networks. We start by providing an overview of …

Integrating renewable energy resources into the smart grid: Recent developments in information and communication technologies

MH Rehmani, M Reisslein, A Rachedi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Rising energy costs, losses in the present-day electricity grid, risks from nuclear power
generation, and global environmental changes are motivating a transformation of the …

Fundamental green tradeoffs: Progresses, challenges, and impacts on 5G networks

S Zhang, Q Wu, S Xu, GY Li - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
With years of tremendous traffic and energy consumption growth, green radio has been
valued not only for theoretical research interests but also for the operational expenditure …