Deterministic Delay of Digital Twin-Assisted End-to-End Network Slicing in Industrial IoT Via Multiagent Deep Reinforcement Learning
IEEE INTERNET OF THINGS JOURNAL（2025）
Key words
Delays,Network slicing,Resource management,Industrial Internet of Things,Optimization,Deep reinforcement learning,Real-time systems,Quality of service,Indium phosphide,III-V semiconductor materials,Deep reinforcement learning (DRL),digital twin (DT),network slicing,resource allocation,stochastic network calculus (SNC)
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