Partial Offloading and Resource Allocation for MEC-Assisted Vehicular Networks

H Zhang, X Liu, Y Xu, D Li, C Yuen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the long-distance communication and the limited resources, traditional full offloading
algorithms cannot fully exploit radio and computation resources, which may cause more …

[HTML][HTML] Multi-agent reinforcement learning for edge information sharing in vehicular networks

R Wang, X Jiang, Y Zhou, Z Li, D Wu, T Tang… - Digital Communications …, 2022 - Elsevier
To guarantee the heterogeneous delay requirements of the diverse vehicular services, it is
necessary to design a full cooperative policy for both Vehicle to Infrastructure (V2I) and …

Scheduling and power control for connectivity enhancement in multi-hop I2V/V2V networks

BL Nguyen, DT Ngo, MN Dao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications are often
combined to extend the connectivity and coverage in the Intelligent Transportation System …

Fairness-aware optimization of vehicle-to-vehicle interaction for smart EV charging coordination

A Khele, C Jiang, H Wang - 2023 IEEE/IAS 59th Industrial and …, 2023 - ieeexplore.ieee.org
As the number of electric vehicles (EVs) continues to grow, there is an increasing need for
smart charging strategies. This paper exploits the vehicle-to-vehicle (V2V) concept to …

Construction of Ad-Hoc Public Safety Communications Networks using EVs as Base Stations in Disaster Scenarios

Y Kawamoto, A Nakashima… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, mobile traffic has increased and is expected to increase further. Therefore, the
deployment of high-density networks with many small-cell base stations within the coverage …

Joint power control and multiple antennas optimization for reducing receiver blocking in dense VANETs

B Liao, D Li, Q Tang, X Chen - Vehicular Communications, 2022 - Elsevier
The dynamic topology of vehicular ad hoc networks (VANETs) has a significant impact on
the transmission and reception of data. It will cause receiver blocking due to the increase in …

Deep Learning‐Based Service Scheduling Mechanism for GreenRSUs in the IoVs

J Li, C Wang, D Seo, X Cheng, Y He… - Wireless …, 2021 - Wiley Online Library
Green roadside units (RSUs), also called renewable energy‐powered RSUs, are utilized
recently rather than the traditional electric‐powered RSUs with high power consumption and …

MCFGV: Maximizing Communications and Fairness for Groups of Vehicles

P Ghosh, D Ebrahimi, F Alzhouri… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Maximizing vehicle-to-vehicle (V2V) communications have become crucial for ever-
increasing demands for more complicated vehicular applications of smart cities. In this study …

Column Generation for Optimization Problems in Communication Networks

Z Jia, Q Wu, C Dong, C Yuen, Z Han - IEEE Network, 2022 - ieeexplore.ieee.org
Numerous communication networks are emerging to serve the various demands and
improve the quality of service. Heterogeneous users have different requirements on quality …

Video service-oriented vehicular collaboration: A multi-agent proximal policy optimization approach

Z Li, X Jiang, D Wu, H Wang, T Tang… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
To guarantee heterogeneous performance requirements of diverse vehicular services, it is
necessary to design a full cooperative policy for both vehicle to infrastructure (V2I) links and …