We propose an intelligent HAPS-enabled IoV network to provide network connectivity, allocate resources, and allow computation in IoV networks.
To handle this issue, we propose an intelligent. HAPS-enabled IoV network to provide network connectivity, allocate resources, and allow computation in IoV ...
In this paper, we consider the joint resource allocation and base-station assignment problem for the downlink in CDMA networks with heterogeneous data services.
In the proposed MADRL-based HAPS-assisted IoV network, the HAPS and vehicles are intelligent agents. We utilize a multi-agent deep deterministic policy gradient ...
Dive into the research topics of 'Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks'. Together they form a unique fingerprint. Sort ...
Multi-agent deep reinforcement learning for user association and resource allocation in integrated terrestrial and non-terrestrial networks. Author links open ...
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Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks ... Value-Decomposition Networks For Cooperative Multi-Agent Learning.
Oct 22, 2024 · Deep RL (DRL) combines RL with deep neural networks (DNN) to deal with the large state-action space, making it particularly appealing for real- ...
Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks · Abegaz Mohammed SeidA. Erbad. Engineering, Computer Science. ICC 2023 - IEEE ...
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network[J]. IEEE Transactions on ...