Multi-agent reinforcement learning based resource allocation for vehicular networks
J Lu, H Cui, X Bo - Proceedings of the 2023 International Conference on …, 2023 - dl.acm.org
Vehicular communication becomes a hot research topic due to its advantage in congestion
and traffic accident avoidance. To enhance the user experience quality and driving safety of …
and traffic accident avoidance. To enhance the user experience quality and driving safety of …
Resource Allocation in Vehicular Networks Based on Federated Multi-Agent Reinforcement Learning
J Yu, S Wu, L Liang, S Jin - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
In this paper, we propose a distributed resource allocation scheme based on federated multi-
agent deep reinforcement learning (Fed-MARL) to address the channel allocation and …
agent deep reinforcement learning (Fed-MARL) to address the channel allocation and …
Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks
Y Ji, X Zhang, Y Wang, H Gacanin… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
To address the problem of spectrum resources and transmitting power for vehicular
networks, this paper proposes a resource allocation (RA) method based on dueling double …
networks, this paper proposes a resource allocation (RA) method based on dueling double …
Multi-agent Deep Reinforcement Learning with Hybrid Action Space for Resource Allocation of Vehicular Networks
X Guan, L Han - International Conference on Artificial Intelligence in …, 2023 - Springer
In this paper, we investigate the joint optimization of spectrum selection and power
allocation between vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) users in …
allocation between vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) users in …
Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications
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 …
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …
Communication-efficient multi-agent actor-critic framework for distributed optimization of resource allocation in V2X networks
N Hammami, KK Nguyen - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
The vehicular communication technology has enabled new services for drivers and
passengers with different Quality of Service (QoS) demands. Due to network resource …
passengers with different Quality of Service (QoS) demands. Due to network resource …
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 …
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …
Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks
Vehicle-to-vehicle communications can offer direct information interaction, including security-
centered information and entertainment information. However, the rapid proliferation of …
centered information and entertainment information. However, the rapid proliferation of …
Multi-Agent Deep Reinforcement Learning for Channel Resource Allocation in Vehicular Networks
R Jiang, F Zhang - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Vehicular networks rely on periodic broadcast of each vehicle's state information to track its
surrounding vehicles and therefore, to predict potential collisions. However, in a scenario of …
surrounding vehicles and therefore, to predict potential collisions. However, in a scenario of …
Deep reinforcement learning based resource allocation with heterogeneous QoS for cellular V2X
Cellular vehicle-to-everything (C-V2X) communication is a crucial fundamental technology
to serve diverse vehicular applications. However, the diversity of communications services in …
to serve diverse vehicular applications. However, the diversity of communications services in …