Low latency radio access in 3GPP local area data networks for V2X: Stochastic optimization and learning

SY Lien, SC Hung, DJ Deng, CL Lai… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The next generation vehicular applications substantially shifting the paradigm of human
activity have been projected to empower intelligent transportation systems. Targeting at …

Environment-adaptive multiple access for distributed V2X network: A reinforcement learning framework

S Kim, BJ Kim, BB Park - 2021 IEEE 93rd Vehicular Technology …, 2021 - ieeexplore.ieee.org
The huge research interest in cellular vehicle-to-everything (C-V2X) communications in
recent days is attributed to their ability to schedule multiple access more efficiently as …

Federated learning empowered computation offloading and resource management in 6G-V2X

SB Prathiba, G Raja, S Anbalagan… - … on Network Science …, 2021 - ieeexplore.ieee.org
Humankind's urbanization and luxuriousneed increase the number of vehicles day by day.
Alongside the advancement of technologies, autonomous vehicles have now come into a …

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 …

Edge on wheels with OMNIBUS networking for 6G technology

M Ergen, F Inan, O Ergen, I Shayea, MF Tuysuz… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, both the scientific community and the industry have focused on moving
computational resources with remote data centres from the centralized cloud to …

Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network

M Wang, J Mao, W Zhao, X Han, M Li, C Liao… - Journal of Grid …, 2024 - Springer
Smart cities cannot function without autonomous devices that connect wirelessly and enable
cellular connectivity and processing. Edge computing bridges mobile devices and the cloud …

Street smart in 5G: Vehicular applications, communication, and computing

AY Alhilal, B Finley, T Braud, D Su, P Hui - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advances in information technology have revolutionized the automotive industry,
paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside …

A deep reinforcement learning: Location-based resource allocation for congested C-V2X scenario

S Bhadauria, S Vasan, M Roshdi… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Cellular-Vehicle-to-Everything (C-V2X) communication as standardized in the 3rd
generation partnership project (3GPP) plays an essential role in enabling fully autonomous …

Mobile edge intelligence and computing for the internet of vehicles

J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

Distributed resource allocation for URLLC in IIoT scenarios: A multi-armed bandit approach

F Pase, M Giordani, G Cuozzo… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency
Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as …