Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

Machine learning techniques for 5G and beyond

J Kaur, MA Khan, M Iftikhar, M Imran, QEU Haq - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …

Algorithm-unrolling-based distributed optimization for RIS-assisted cell-free networks

W Xu, J An, H Li, L Gan, C Yuen - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The user-centric cell-free network has emerged as an appealing technology to improve the
wireless communication's capacity of the Internet of Things (IoT) networks thanks to its ability …

Antenna selection for reconfigurable intelligent surfaces: A transceiver-agnostic passive beamforming configuration

C Xu, J An, T Bai, S Sugiura… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is capable of improving the wireless system
performance by steering the reflected signal in the desired direction. One of the major …

RIS-aided wireless communications: Extra degrees of freedom via rotation and location optimization

Y Cheng, W Peng, C Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We consider the extra degree of freedom offered by the rotation of the reconfigurable
intelligent surface (RIS) plane and investigate its potential in improving the performance of …

Overhead-aware design of reconfigurable intelligent surfaces in smart radio environments

A Zappone, M Di Renzo, F Shams… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces have emerged as a promising technology for future
wireless networks. Given that a large number of reflecting elements is typically used and that …

Channel estimation for RIS assisted wireless communications—Part II: An improved solution based on double-structured sparsity

X Wei, D Shen, L Dai - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) can manipulate the wireless communication
environment by controlling the coefficients of RIS elements. However, due to the large …

Novel multiple RIS-assisted communications for 6G networks

Y Wang, W Zhang, Y Chen, CX Wang… - IEEE Communications …, 2022 - ieeexplore.ieee.org
As an emerging technique, reconfigurable intelligent surface (RIS) has recently received
extensive attention and can be considered as a key enabling technology for future sixth …

Reconfigurable intelligent surface: Power consumption modeling and practical measurement validation

J Wang, W Tang, JC Liang, L Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The reconfigurable intelligent surface (RIS) has received a lot of interest because of its
capacity to reconfigure the wireless communication environment in a cost-and energy …

Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …