Decentralized resource allocation-based multiagent deep learning in vehicular network

AD Mafuta, BTJ Maharaj, AS Alfa - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Resource allocation (RA) has a significant impact on vehicular network performance. With
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …

Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications

X Li, L Lu, W Ni, A Jamalipour… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …

Multi-agent deep reinforcement learning-empowered channel allocation in vehicular networks

AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Channel allocation has a direct and profound impact on the performance of vehicle-to-
everything (V2X) networks. Considering the dynamic nature of vehicular environments, it is …

Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks

Y Ji, Y Wang, H Zhao, G Gui, H Gacanin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The communications between vehicle-to-vehicle (V2V) with high frequency, group sending,
group receiving and periodic lead to serious collision of wireless resources and limited …

Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks

J Tian, Q Liu, H Zhang, D Wu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle communications can offer direct information interaction, including security-
centered information and entertainment information. However, the rapid proliferation of …

Joint mode selection and resource allocation for cellular v2x communication using distributed deep reinforcement learning under 5g and beyond networks

S Yadav, R Rishi - Computer Communications, 2024 - Elsevier
Abstract Vehicle-to-everything (V2X) communication via cellular networks is a promising
technique for 5G and beyond networks. The cars interact directly with one another, as well …

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 …

Decentralized Multi-Agent DQN-based Resource Allocation for Heterogeneous Traffic in V2X Communications

I Lee, DK Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is a pivotal technology for advanced driving,
encompassing autonomous driving and Intelligent Transportation Systems (ITS). Beyond …

Deep-reinforcement-learning-based mode selection and resource allocation for cellular V2X communications

X Zhang, M Peng, S Yan, Y Sun - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …

Meta-reinforcement learning based resource allocation for dynamic V2X communications

Y Yuan, G Zheng, KK Wong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper studies the allocation of shared resources between vehicle-to-infrastructure (V2I)
and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In existing …