6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

Artificial neural networks based optimization techniques: A review

MGM Abdolrasol, SMS Hussain, TS Ustun, MR Sarker… - Electronics, 2021 - mdpi.com
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

Reconfigurable intelligent surfaces: Principles and opportunities

Y Liu, X Liu, X Mu, T Hou, J Xu… - … surveys & tutorials, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces
(IRSs), or large intelligent surfaces (LISs), 1 have received significant attention for their …

Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead

M Di Renzo, A Zappone, M Debbah… - IEEE journal on …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are an emerging transmission technology for
application to wireless communications. RISs can be realized in different ways, which …

What will the future of UAV cellular communications be? A flight from 5G to 6G

G Geraci, A Garcia-Rodriguez, MM Azari… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
What will the future of UAV cellular communications be? In this tutorial article, we address
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …

Toward smart wireless communications via intelligent reflecting surfaces: A contemporary survey

S Gong, X Lu, DT Hoang, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
This paper presents a literature review on recent applications and design aspects of the
intelligent reflecting surface (IRS) in the future wireless networks. Conventionally, the …

Model-based deep learning

N Shlezinger, J Whang, YC Eldar… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Signal processing, communications, and control have traditionally relied on classical
statistical modeling techniques. Such model-based methods utilize mathematical …

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 …

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 …

A very brief introduction to machine learning with applications to communication systems

O Simeone - IEEE Transactions on Cognitive Communications …, 2018 - ieeexplore.ieee.org
Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …