A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security

A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …

Applying deep-learning-based computer vision to wireless communications: Methodologies, opportunities, and challenges

Y Tian, G Pan, MS Alouini - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has seen great success in the computer vision (CV) field, and related
techniques have been used in security, healthcare, remote sensing, and many other areas …

When wireless communications meet computer vision in beyond 5G

T Nishio, Y Koda, J Park, M Bennis… - IEEE Communications …, 2021 - ieeexplore.ieee.org
This article articulates the emerging paradigm, sitting at the confluence of computer vision
and wireless communication, enabling beyond-5G/6G mission-critical applications …

Effects of SD-RAN control plane design on user Quality of Service

A Papa, P Kutsevol, F Mehmeti… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Next generation radio access networks (RANs) en-vision softwarization and programmability
as the main tools to provide the quality of service (QoS) requirements of emerging …

Deep learning-powered beamforming for 5G massive MIMO Systems

RI Bendjillali, MS Bendelhoum, AA Tadjeddine… - Journal of …, 2023 - jtit.pl
In this study, a ResNeSt-based deep learning approach to beamforming for 5G massive
multiple-input multiple-output (MIMO) systems is presented. The ResNeSt-based deep …

Point cloud-based proactive link quality prediction for millimeter-wave communications

S Ohta, T Nishio, R Kudo, K Takahashi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study demonstrates the feasibility of point cloud-based proactive link quality prediction
for millimeter-wave (mmWave) communications. Previous studies have proposed machine …

An advanced gnu radio receiver of ieee 802.15. 4 oqpsk physical layer

E Faulkner, Z Yun, S Zhou, ZJ Shi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In this article, we present an advanced coherent receiver for the IEEE 802.15. 4 offset
quadrature phase-shift keying (OQPSK) physical layer and provide an open-source …

PEACH: Proactive and Environment-Aware Channel State Information Prediction with Depth Images

S Ayvasik, F Mehmeti, E Babaians… - Proceedings of the ACM …, 2023 - dl.acm.org
Up-to-date and accurate prediction of Channel State Information (CSI) is of paramount
importance in Ultra-Reliable Low-Latency Communications (URLLC), specifically in …

Removing the RF Fingerprint: A Least Squares Approach to Compensate for a Device's Hardware Impairments

JS Kaminski, D Stein, J Weitzen - MILCOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Radio Frequency (RF) Fingerprinting is proposed as a key method of authentication and
physical layer security in 5G and beyond networks. The process could classify a device …

A Picture is Worth 1,000 Millimeters: Combining Vision and Wi-Fi to Improve Localization

S Irshad, E Rozner, A Bhartia… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
In the past, researchers designed, deployed, and evaluated Wi-Fi based localization
techniques in order to locate users and devices without adding extra or costly infrastructure …