Quantum secured 6G technology-based applications in Internet of Everything

K Prateek, NK Ojha, F Altaf, S Maity - Telecommunication Systems, 2023 - Springer
Scientific and technological breakthroughs carry with themselves a pertinent question—
“what's next”. The evolution of mobile networks and spectrum technology over the last two …

Deep learning for super-resolution channel estimation in reconfigurable intelligent surface aided systems

W Shen, Z Qin, A Nallanathan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) enables the configuration of the propagation
environment. Channel estimation is an essential task in realizing the RIS-aided …

Task-oriented semantic communication over rate splitting enabled wireless control systems for URLLC services

C Zeng, JB Wang, M Xiao, C Ding… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Due to long-term reliability, wireless control systems (WCSs) have attracted significant
interest recently. However, mission-critical control requires stringent ultra-reliability and low …

Deep learning for wireless networked systems: A joint estimation-control-scheduling approach

Z Zhao, W Liu, DE Quevedo, Y Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Wireless-networked control system (WNCS) connecting sensors, controllers, and actuators
via wireless communications is a key enabling technology for highly scalable and low-cost …

Single-user SFLC-OFDM system realization based on channel reciprocity recovery

S Kim, HG Lee, S Lee, J Kim, J Joung, J Kim - IEEE Access, 2023 - ieeexplore.ieee.org
This paper demonstrates the implementation of a space–frequency line coded-orthogonal
frequency-division multiplexing (SFLC-OFDM) system. The SFLC-OFDM system utilizes …

Robust deep learning models for OFDM-based image communication systems in intelligent transportation systems (ITS) for smart cities

N Islam, S Shin - Electronics, 2023 - mdpi.com
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 …

Deep Learning for Channel Estimation in Physical Layer Wireless Communications: Fundamental, Methods, and Challenges

C Lv, Z Luo - Electronics, 2023 - mdpi.com
With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …

Structure-enhanced DRL for optimal transmission scheduling

J Chen, W Liu, DE Quevedo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Remote state estimation of large-scale distributed dynamic processes plays an important
role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling …

ArguteDUB: deep learning based distributed uplink beamforming in 6G-based IoV

X Yi, J Li, Y Liu, L Kong, Y Shao, G Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the last decade, MIMO spatial multiplexing and distributed beamforming play a significant
role in improving data throughput through cooperative transmission. It has been widely used …

Blind channel estimation for DCO-OFDM based vehicular visible light communication

G Gurbilek, M Koca, S Coleri - Physical Communication, 2023 - Elsevier
Blind channel estimation (CE) methods for OFDM based RF communication provide high-
rate transmission by eliminating pilot overhead in conventional pilot-based methods, at the …