Research on Digital Twin Network Architecture and Key Technologies in Vehicular Networking Scenarios
Intelligence has become one of the core features of future vehicles,and by establishing a digital twin on the network side,it can meet the multiple needs of vehicle intelligence.On the one hand,the digital twin provides non-real-time intelligent assisted management for vehicles,and on the other hand,it supports real-time intelligent assisted driving for vehicles.The study addresses this need,provides an in-depth analysis of two major types of intelligent scenarios of intelligent vehicles,and proposes a novel architecture of digital twin network in vehicle networ-king scenarios,and also thoroughly analyzes the key technologies of perception construction,management,migration,federated learning,and simulation-optimized decision making of digital twins for vehicles,in order to solve the twin perceptions,efficient management,migration with the vehicle,and generalized generalization of models of the twins and other challenges,provi-ding effective and feasible realization methods and paths for operators to serve intelligent vehi-cles.
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