A tutorial on fluid antenna system for 6G networks: Encompassing communication theory, optimization methods and hardware designs

WK New, KK Wong, H Xu, C Wang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The advent of the sixth-generation (6G) networks presents another round of revolution for
the mobile communication landscape, promising an immersive experience, robust reliability …

A study on multi-antenna and pertinent technologies with AI/ML approaches for B5G/6G networks

MUA Siddiqui, F Qamar, SHA Kazmi, R Hassan… - Electronics, 2022 - mdpi.com
The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …

Overview of deep learning-based CSI feedback in massive MIMO systems

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

Security threats to 5G networks for social robots in public spaces: a survey

SO Oruma, S Petrovic - IEEE Access, 2023 - ieeexplore.ieee.org
This paper surveys security threats to 5G-enabled wireless access networks for social robots
in public spaces (SRPS). The use of social robots (SR) in public areas requires specific …

Beamforming techniques for mimo-noma for 5g and beyond 5g: Research gaps and future directions

SU Rehman, J Ahmad, A Manzar… - Circuits, Systems, and …, 2024 - Springer
Effective sharing of the communication channel among many users, or multiple access (MA)
techniques, can play a vital role in meeting the diverse demands of low latency, high …

Federated Learning For IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions

M Adam, U Baroud - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The rapid advancement of Internet of Things (IoT) technology has transformed the digital
landscape, enabling unprecedented connectivity between devices, people, and services …

Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda

V García-Pineda, A Valencia-Arias, JC Patiño-Vanegas… - Informatics, 2023 - mdpi.com
This article aims to examine the research trends in the development of mobile networks from
machine learning. The methodological approach starts from an analysis of 260 academic …

CSI Feedback Model Based on Multi-Source Characterization in FDD Systems

F Pan, X Zhao, B Zhang, P Xiang, M Hu, X Gao - Sensors, 2023 - mdpi.com
In wireless communication, to fully utilize the spectrum and energy efficiency of the system, it
is necessary to obtain the channel state information (CSI) of the link. However, in Frequency …

Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks

H Lee, H Seong, W Kim, H Kwon, D Seo - arXiv preprint arXiv:2410.12772, 2024 - arxiv.org
Automatic modulation classification (AMC) serves a vital role in ensuring efficient and
reliable communication services within distributed wireless networks. Recent developments …