Edgecooper: Network-aware cooperative lidar perception for enhanced vehicular awareness
Autonomous driving vehicle (ADV) that is ready to transform our society and economy, is in
desperate need of precise positioning over itself as well as surrounding environments …
desperate need of precise positioning over itself as well as surrounding environments …
[HTML][HTML] Task offloading for edge-IoV networks in the industry 4.0 era and beyond: A high-level view
M Talebkhah, A Sali, V Khodamoradi… - … Science and Technology …, 2024 - Elsevier
As a promising platform on the Internet of Things (IoT), the smart Internet of Vehicle (IoV) has
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …
A multi-objective approach based on differential evolution and deep learning algorithms for VANETs
Intelligent transportation systems (ITS) are becoming more prominent in our society (for
example, in smart cities), although a number of challenges remain to be (fully) addressed …
example, in smart cities), although a number of challenges remain to be (fully) addressed …
Parallel Offloading and Resource Optimization for Multi-Hop Ad Hoc Network-Enabled CBTC With Mobile Edge Computing
The emergence of communication-based train control (CBTC) system within urban rail
transport has improved the efficiency of safe train operations. At the same time, the CBTC …
transport has improved the efficiency of safe train operations. At the same time, the CBTC …
Machine learning based channel estimation for 5G NR-V2V communications: Sparse bayesian learning and Gaussian progress regression
Y Liao, X Li, Z Cai - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In intelligent transportation systems (ITS), 5G NR-V2V communication is adopted to expand
the connectivity and coverage of ITS applications, where the data needs to be processed …
the connectivity and coverage of ITS applications, where the data needs to be processed …
Achieving scalable capacity in wireless mesh networks
Wireless mesh networks are critical in enabling key networking scenarios in beyond-5G
(B5G) and 6G networks, including integrated access and backhaul (IAB), multi-hop sidelinks …
(B5G) and 6G networks, including integrated access and backhaul (IAB), multi-hop sidelinks …
A Multi-Objective Optimization-Based Transmission Design for V2V Communication Networks
Data delivery in vehicular networks confronts unique challenges due to vehicle movement
and stringent quality-of-service (QoS) demands. This article investigates the efficient …
and stringent quality-of-service (QoS) demands. This article investigates the efficient …
Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications
S Saraydar, FS Tabataba… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, there has been a significant increase in vehicles, resulting in areas that are
unable to supply online connectivity, due to the lack of infrastructure development, and high …
unable to supply online connectivity, due to the lack of infrastructure development, and high …
SD-Jaya Based Multi-Objective Optimization Algorithm for IRS-Aided Air-to-Ground Task Offloading in Charging Electric Vehicle Networks
X Song, Y Wang, S Xu, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The integration of electric vehicles (EVs) into the power grid has led to a significant increase
in load demand. However, the absence of efficient edge computing services for charging …
in load demand. However, the absence of efficient edge computing services for charging …
Joint Optimizing High-Speed Cruise Control and Multi-Hop Communication in Platoons: A Reinforcement Learning Approach
W Hu, H Wang, J Wang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
A platoon is a group of vehicles traveling in the same direction at a reasonable speed while
maintaining a reasonable and safe distance. Robust model predictive control addresses …
maintaining a reasonable and safe distance. Robust model predictive control addresses …