Meta-reinforcement learning based resource allocation for dynamic V2X communications
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 …
and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In existing …
Deep reinforcement learning based resource allocation for V2V communications
In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
A joint power and bandwidth allocation method based on deep reinforcement learning for V2V communications in 5G
X Hu, S Xu, L Wang, Y Wang, Z Liu, L Xu… - China …, 2021 - ieeexplore.ieee.org
Vehicular communications have recently attracted great interest due to their potential to
improve the intelligence of the transportation system. When maintaining the high reliability …
improve the intelligence of the transportation system. When maintaining the high reliability …
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 …
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 …
everything (V2X) networks. Considering the dynamic nature of vehicular environments, it is …
Deep-reinforcement-learning-based mode selection and resource allocation for cellular V2X communications
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning
This paper investigates the spectrum sharing problem in vehicular networks based on multi-
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …
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 …
Learn to compress CSI and allocate resources in vehicular networks
Resource allocation has a direct and profound impact on the performance of vehicle-to-
everything (V2X) networks. In this paper, we develop a hybrid architecture consisting of …
everything (V2X) networks. In this paper, we develop a hybrid architecture consisting of …
Deep neural network based resource allocation for V2X communications
J Gao, MRA Khandaker, F Tariq… - 2019 IEEE 90th …, 2019 - ieeexplore.ieee.org
This paper focuses on optimal transmit power allocation to maximize the overall system
throughput in a vehicle-to-everything (V2X) communication system. We propose two …
throughput in a vehicle-to-everything (V2X) communication system. We propose two …
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