Less data, more knowledge: Building next generation semantic communication networks

C Chaccour, W Saad, M Debbah… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Semantic communication is viewed as a revolutionary paradigm that can potentially
transform how we design and operate wireless communication systems. However, despite a …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

5G-advanced toward 6G: Past, present, and future

W Chen, X Lin, J Lee, A Toskala, S Sun… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in
both standardization and commercial deployments. 3GPP is now entering the second phase …

Massive MIMO systems for 5G and beyond networks—overview, recent trends, challenges, and future research direction

R Chataut, R Akl - Sensors, 2020 - mdpi.com
The global bandwidth shortage in the wireless communication sector has motivated the
study and exploration of wireless access technology known as massive Multiple-Input …

Multiple access techniques for intelligent and multifunctional 6G: Tutorial, survey, and outlook

B Clerckx, Y Mao, Z Yang, M Chen… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions (eg, time, frequency, power, antenna, code, and …

An overview of massive MIMO for 5G and 6G

FAP de Figueiredo - IEEE Latin America Transactions, 2022 - ieeexplore.ieee.org
Massive MIMO is a disruptive technology that was born more than a decade ago, and that
has been adopted as an integral part of the 5G standard. Without its many advantages, the …

Generative AI for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

Generative AI in mobile networks: A survey

A Karapantelakis, P Alizadeh, A Alabassi, K Dey… - Annals of …, 2024 - Springer
This paper provides a comprehensive review of recent challenges and results in the field of
generative AI with application to mobile telecommunications networks. The objective is to …

Channel estimation for reconfigurable intelligent surface aided MISO communications: From LMMSE to deep learning solutions

NK Kundu, MR McKay - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
We consider multi-antenna wireless systems aided by reconfigurable intelligent surfaces
(RIS). RIS presents a new physical layer technology for improving coverage and energy …

Deep learning for channel estimation: Interpretation, performance, and comparison

Q Hu, F Gao, H Zhang, S **… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …