[HTML][HTML] Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come

MD Renzo, M Debbah, DT Phan-Huy… - EURASIP Journal on …, 2019 - Springer
Future wireless networks are expected to constitute a distributed intelligent wireless
communications, sensing, and computing platform, which will have the challenging …

A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Feasibility and challenges

AN Uwaechia, NM Mahyuddin - IEEE Access, 2020 - ieeexplore.ieee.org
Fifth-generation (5G) cellular networks will almost certainly operate in the high-bandwidth,
underutilized millimeter-wave (mmWave) frequency spectrum, which offers the potentiality of …

Wireless networks design in the era of deep learning: Model-based, AI-based, or both?

A Zappone, M Di Renzo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …

5G key technologies for smart railways

B Ai, AF Molisch, M Rupp, ZD Zhong - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Railway communications has attracted significant attention from both academia and
industries due to the booming development of railways, especially high-speed railways …

A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives

I Ahmed, H Khammari, A Shahid… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The increasing wireless data traffic demands have driven the need to explore suitable
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …

Millimeter wave communications for future mobile networks

M Xiao, S Mumtaz, Y Huang, L Dai, Y Li… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter wave (mmWave) communications have recently attracted large research interest,
since the huge available bandwidth can potentially lead to the rates of multiple gigabit per …

Deep learning coordinated beamforming for highly-mobile millimeter wave systems

A Alkhateeb, S Alex, P Varkey, Y Li, Q Qu… - IEEE …, 2018 - ieeexplore.ieee.org
Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of
important applications, such as vehicular communications and wireless virtual/augmented …

A survey on 5G millimeter wave communications for UAV-assisted wireless networks

L Zhang, H Zhao, S Hou, Z Zhao, H Xu, X Wu… - IEEE …, 2019 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have received considerable attention from
regulators, industry and research community, due to rapid growth in a broad range of …

Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels

M Alrabeiah, A Alkhateeb - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Predicting the millimeter wave (mmWave) beams and blockages using sub-6 GHz channels
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …

A comprehensive survey of RAN architectures toward 5G mobile communication system

MA Habibi, M Nasimi, B Han, HD Schotten - Ieee Access, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous
mobile service with enhanced quality of service (QoS). It is also expected to enable new use …