Decentralized Resource Allocation-Based Multiagent Deep Learning in Vehicular Network

Decentralized Resource Allocation-Based Multiagent Deep Learning in Vehicular Network

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 dynamically in the nonstationary environment. In this article, we propose a multiagent double deep Q-networks scheme to...

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Bibliographic Details
Main Authors: Alfa, A.S (Author), Mafuta, A.D (Author), Maharaj, B.T.J (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Binarized weight
Binarized weights
Complex networks
Deep neural networks
Deep reinforcement learning
deep reinforcement learning (DRL)
Markovian decision process
Markovian decision process (MDP)
Multi agent
Multi agent systems
multiagent scheme
Multiagent scheme
Reinforcement learning
Resource allocation
resource allocation (RA)
Resources allocation
Vehicle to vehicle communications
Vehicles
vehicular communication
Vehicular communications
Vehicular networks
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