Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

[HTML][HTML] 6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

Adversarial machine learning in wireless communications using RF data: A review

D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

[HTML][HTML] A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends

SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …

The quantum internet: A synergy of quantum information technologies and 6G networks

GG Rozenman, NK Kundu, R Liu… - IET Quantum …, 2023 - Wiley Online Library
The quantum internet is a cutting‐edge paradigm that uses the unique characteristics of
quantum technology to radically alter communication networks. This new network type is …

Predictive precoder design for OTFS-enabled URLLC: A deep learning approach

C Liu, S Li, W Yuan, X Liu… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
This paper investigates the orthogonal time frequency space (OTFS) transmission for
enabling ultra-reliable low-latency communications (URLLC). To guarantee excellent …

Deep reinforcement learning for RIS-aided multiuser full-duplex secure communications with hardware impairments

Z Peng, Z Zhang, L Kong, C Pan, L Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
In this article, we investigate a reconfigurable intelligent surface (RIS)-aided multiuser full-
duplex secure communication system with hardware impairments at transceivers and RIS …

Robust adversarial attacks against DNN-based wireless communication systems

A Bahramali, M Nasr, A Houmansadr… - Proceedings of the …, 2021 - dl.acm.org
There is significant enthusiasm for the employment of Deep Neural Networks (DNNs) for
important tasks in major wireless communication systems: channel estimation and decoding …

Deep unfolding hybrid beamforming designs for THz massive MIMO systems

NT Nguyen, M Ma, O Lavi, N Shlezinger… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-
input multiple-output (mMIMO) communications systems. A core challenge with designing …

A survey of deep learning architectures for intelligent reflecting surfaces

AM Elbir, KV Mishra - arXiv preprint arXiv:2009.02540, 2020 - arxiv.org
Intelligent reflecting surfaces (IRSs) have recently received significant attention for wireless
communications because it reduces the hardware complexity, physical size, weight, and …