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 …
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
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 …
techniques have been used in security, healthcare, remote sensing, and many other areas …
When wireless communications meet computer vision in beyond 5G
This article articulates the emerging paradigm, sitting at the confluence of computer vision
and wireless communication, enabling beyond-5G/6G mission-critical applications …
and wireless communication, enabling beyond-5G/6G mission-critical applications …
VOMTC: Vision Objects for Millimeter and Terahertz Communications
Recent advances in sensing and computer vision (CV) technologies have opened the door
for the application of deep learning (DL)-based CV technologies in the realm of 6G wireless …
for the application of deep learning (DL)-based CV technologies in the realm of 6G wireless …
Deep learning-powered beamforming for 5G massive MIMO Systems
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 …
multiple-input multiple-output (MIMO) systems is presented. The ResNeSt-based deep …
Effects of SD-RAN control plane design on user Quality of Service
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 …
as the main tools to provide the quality of service (QoS) requirements of emerging …
Point cloud-based proactive link quality prediction for millimeter-wave communications
This study demonstrates the feasibility of point cloud-based proactive link quality prediction
for millimeter-wave (mmWave) communications. Previous studies have proposed machine …
for millimeter-wave (mmWave) communications. Previous studies have proposed machine …
Enhancing 5G massive MIMO systems with EfficientNet‐B7‐powered deep learning‐driven beamforming
The development of wireless communication systems is a challenging and constantly
evolving field and the issue of gaining optimal performance is of utmost importance. This …
evolving field and the issue of gaining optimal performance is of utmost importance. This …
Computer vision-aided beamforming for 6G wireless communications: Dataset and training perspective
Recent progress of deep learning (DL) and computer vision (CV) have paved the way for the
application of DL-based CV technologies in 6G wireless communications. DL-based CV is …
application of DL-based CV technologies in 6G wireless communications. DL-based CV is …
An advanced gnu radio receiver of ieee 802.15. 4 oqpsk physical layer
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 …
quadrature phase-shift keying (OQPSK) physical layer and provide an open-source …