May 9, 2023 · Digital-Twin-Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning.
The algorithm library consists of several centralized and distributed deep reinforcement learning (DRL) algorithms, deep learning prediction algorithms, and ...
Digital-Twin-Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning · Lun TangYucong Du ...
resource allocation for network slicing in industry 4.0 and beyond using distributed deep reinforcement learning,” IEEE Internet Things. J., vol. 10, no. 19 ...
Digital Twin Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning. Article. Oct 2023. Lun ...
Nov 28, 2023 · Abstract—Network slicing-based communication systems can dynamically and efficiently allocate resources for diver- sified services.
Dec 28, 2023 · Digital Twin Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning.
Digital-Twin-Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning ... Network Slicing: A ...
Deep reinforcement learning (DRL) technology has been widely used in slice admission control and resource allocation [18], [19]. Existing research shows that ...
A neural network-based DT is established with a customized output layer for queuing systems, trained through supervised learning, and then employed to assist ...
Missing: Allocation Industry 4.0 Distributed