RADiT: Resource Allocation in Digital Twin-Driven UAV-aided Internet of Vehicle Networks

Digital twin (DT) has emerged as a promising technology for improving resource allocation decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network where mobile edge computing (MEC) servers are deployed at the roadside units (RSUs). The IoV network provides ubiquito...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2023-11, Vol.41 (11), p.1-1
Hauptverfasser:	Hazarika, Bishmita, Singh, Keshav, Li, Chih-Peng, Schmeink, Anke, Tsang, Kim Fung
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous aerial vehicles Computation offloading deep reinforcement learning (DRL) Delay Delays digital twin (DT) Digital twins Edge computing Energy consumption Internet of Vehicles Internet of vehicles (IoV) Mobile computing mobile edge computing (MEC) Optimization Real-time systems Relay Resource allocation Resource management Roadsides Servers soft actor-critic (SAC) Task analysis Unmanned aerial vehicles unmanned aerial vehicles (UAVs) vehicle-to-roadside-unit (V2I) vehicle-to-vehicle (V2V) Vehicles
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