[HTML][HTML] Intelligent Resource Allocation for V2V Communication with Spectrum–Energy Efficiency Maximization

C Xu, S Wang, P Song, K Li, T Song - Sensors, 2023 - mdpi.com
Aiming to address the limitations of traditional resource allocation algorithms in the Internet
of Vehicles (IoV), whereby they cannot meet the stringent demands for ultra-low latency and …

[HTML][HTML] Energy-efficient resource allocation based on deep Q-network in V2V communications

D Han, J So - Sensors, 2023 - mdpi.com
Recently, with the development of autonomous driving technology, vehicle-to-everything
(V2X) communication technology that provides a wireless connection between vehicles …

Deep q-learning enabled wireless resource allocation for 5g network based vehicle-to-vehicle communications

S Wang, X Chai, X Song, X Liang - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication, a facilitator of intelligent transportation system
(ITS), requires effective cooperation among vehicles in vehicular environment. The major …

A DDQN-based Energy-Efficient Resource Allocation Scheme for Low-Latency V2V communication

J Miao, X Chai, X Song, T Song - 2022 IEEE 5th International …, 2022 - ieeexplore.ieee.org
The emerging new radio vehicle-to-everything (NR-V2X) based on 5G cellular network has
developed rapidly. In this paper, we focus on the sidelink (SL) resource allocation for NR …

[HTML][HTML] Multi-agent deep reinforcement learning based resource management in heterogeneous V2X networks

J Zhao, F Hu, J Li, Y Nie - Digital Communications and Networks, 2023 - Elsevier
Abstract In Heterogeneous Vehicle-to-Everything Networks (HVNs), multiple users such as
vehicles and handheld devices and infrastructure can communicate with each other to …

Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications

YC Chung, HY Chang, RY Chang… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is an essential technology for future vehicular
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …

Deep reinforcement learning based wireless resource allocation for V2X communications

J Li, J Zhao, X Sun - 2021 13th International Conference on …, 2021 - ieeexplore.ieee.org
The shortage and low utilization of air-interface spectrum resources have always been the
bottleneck of the development of vehicle-to-everything (V2X) communications. In this paper …

[HTML][HTML] Deep Reinforcement Learning-Based Resource Allocation for Cellular Vehicular Network Mode 3 with Underlay Approach

J Fu, X Qin, Y Huang, L Tang, Y Liu - Sensors, 2022 - mdpi.com
Vehicle-to-vehicle (V2V) communication has attracted increasing attention since it can
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …

[HTML][HTML] Resource allocation in V2X communications based on multi-agent reinforcement learning with attention mechanism

Y Ding, Y Huang, L Tang, X Qin, Z Jia - Mathematics, 2022 - mdpi.com
In this paper, we study the joint optimization problem of the spectrum and power allocation
for multiple vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) users in cellular …

An efficient deep reinforcement learning based distributed channel multiplexing framework for V2X communication networks

R Hu, X Wang, Y Su, B Yang - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
It is crucial to multiplex channel resources efficiently in wireless networks due to the link
interference and wireless spectrum scarcity. In this paper, we study the allocation problem of …