Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
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 …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …
popularity of wireless services worldwide. With the advancement in technology, profound …
Multi-channel assessment policies for energy-efficient data transmission in wireless underground sensor networks
R Soundararajan, PM Stanislaus, SG Ramasamy… - Energies, 2023 - mdpi.com
Wireless Underground Sensor Networks (WUGSNs) transmit data collected from
underground objects such as water substances, oil substances, soil contents, and others. In …
underground objects such as water substances, oil substances, soil contents, and others. In …
Robust deep learning models for OFDM-based image communication systems in intelligent transportation systems (ITS) for smart cities
Internet of Things (IoT) ecosystem in smart cities demands fast, reliable, and efficient image
data transmission to enable real-time Computer Vision (CV) applications. To fulfill these …
data transmission to enable real-time Computer Vision (CV) applications. To fulfill these …
Wireless channel estimation for low-power IoT devices using real-time data
The Internet of Things (IoT) is gaining immense popularity in executing automation activities
via wireless connectivity in the modern era. The IoT networks are designed using mostly low …
via wireless connectivity in the modern era. The IoT networks are designed using mostly low …
Applications of deep learning and deep reinforcement learning in 6G networks
TH Nguyen, H Park, K Seol, S So… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
As the demand for data-driven applications and emerging technologies such as extended
reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the …
reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the …
Intelligent near-field channel estimation for terahertz ultra-massive MIMO systems
The terahertz (THz) communication systems as-sisted by ultra-massive (UM) number of
antennas have been considered as a promising solution for future 6G wireless …
antennas have been considered as a promising solution for future 6G wireless …
LSTM-based RIS phase shift control for V2X communication systems
With the rapid development of intelligent transportation systems (ITS), a growing number of
vehicular applications have emerged to provide an entirely new experience for our daily life …
vehicular applications have emerged to provide an entirely new experience for our daily life …
Robust Precoding Designs for Multiuser MIMO Systems with Limited Feedback
It has been well known that the achievable rate of multiuser multiple-input multiple-output
systems with limited feedback is severely degraded by quantization errors when the number …
systems with limited feedback is severely degraded by quantization errors when the number …
AI-based resource allocation techniques in D2D communication: Open issues and future directions
T Rathod, S Tanwar - Physical Communication, 2024 - Elsevier
Abstract The fifth-generation (5G) mobile network enhances network connectivity between
many mobile devices by utilizing higher bandwidth with lower communication delay. This …
many mobile devices by utilizing higher bandwidth with lower communication delay. This …