Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning …

J Gui, L Lin, X Deng, L Cai - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Heterogeneous communication environments and broadcast feature of safety-critical
messages bring great challenges to mode selection and resource allocation problem. In this …
被引用次数：2 相关文章

Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning …

J Gui, L Lin, X Deng, L Cai - IEEE/ACM Transactions on Networking, 2024 - computer.org
Heterogeneous communication environments and broadcast feature of safety-critical
messages bring great challenges to mode selection and resource allocation problem. In this …

Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning …

J Gui, L Lin, X Deng, L Cai - IEEE/ACM Transactions on Networking, 2024 - computer.org
Heterogeneous communication environments and broadcast feature of safety-critical
messages bring great challenges to mode selection and resource allocation problem. In this …