[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey

S Zeb, A Mahmood, SA Hassan, MDJ Piran… - Journal of Network and …, 2022 - Elsevier
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …

Advanced deep learning models for 6G: overview, opportunities and challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Incentive-driven deep reinforcement learning for content caching and D2D offloading

H Zhou, T Wu, H Zhang, J Wu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
Offloading cellular traffic via Device-to-Device communication (or D2D offloading) has been
proved to be an effective way to ease the traffic burden of cellular networks. However …

Deep learning-based reliable routing attack detection mechanism for industrial Internet of Things

S Nayak, N Ahmed, S Misra - Ad Hoc Networks, 2021 - Elsevier
An enormous amount of data processing occurs at the cloud and edge to carry out different
kinds of analytics in Industrial Internet of Things (IIoT). To deal with the analytics using such …

From 5G to 6G networks, a survey on AI-Based jamming and interference detection and mitigation

P Lohan, B Kantarci, MA Ferrag… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …

Secure and reliable slicing in 5G and beyond vehicular networks

J Wang, J Liu - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
The arrival of the 5G era brings unprecedented opportunities and challenges to vehicular
networks. As one of the most innovative and important technologies of 5G, network slicing …

Energy-aware hybrid RF-VLC multiband selection in D2D communication: A stochastic multiarmed bandit approach

S Hashima, MM Fouda, S Sakib… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
To handle the exponentially growing service expectations from mobile users and circumvent
the band switching slow rate, device-to-device (D2D) communication is receiving much …

Optimal channel selection in hybrid RF/VLC networks: A multi-armed bandit approach

MM Fouda, S Hashima, S Sakib… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We investigate optimal band/channel selection in hybrid radio frequency and visible light
communication (RF/VLC) networks. Particularly, we first develop a robust hybrid RF/VLC …

Real-time quality inspection of motor rotor using cost-effective intelligent edge system

Q Zhu, J Lu, X Wang, H Wang, S Lu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Induction motors (IMs) are used extensively as driving actuators in electric vehicles. Motor
rotors are prone to defects in the die casting procedure, which can significantly reduce the …

Deep learning models for magnetic cardiography edge sensors implementing noise processing and diagnostics

S Sakib, MM Fouda, M Al-Mahdawi, A Mohsen… - IEEE …, 2021 - ieeexplore.ieee.org
Remote health monitoring has become a necessity due to reduced healthcare access
resulting from pandemic lockdowns and the increasing aging population …