Tele-operated Driving (ToD) is an ambitious use case inthe automotive sector that enables the remote operation of vehicles, e.g., when they are located in dangerous environments, for logistics fleet operations. ToD heavily relies on 5G connectivity able to guarantee strict latency, reliability, and bandwidth requirements,for instance through a dedicated network slice. In this paper, we propose a Digital Twin (DT)-assisted radio resource allocation scheme that manages the Radio Access Network (RAN) resources within the ToD network slice. In particular, our contributions leverage interactions between the DT of the RAN and of other ToD players to feed an algorithm for efficient radio resource allocation, based on the actual ToD service demand on the planned driving paths. Early results on a realistic map demonstrate the resource savings achieved by our proposal compared to a static resource allocation scheme.
Tele-operated Driving (ToD) is an ambitious use case inthe automotive sector that enables the remote operation of vehicles, e.g., when they are located in dangerous environments, for logistics fleet operations. ToD heavily relies on 5G connectivity able to guarantee strict latency, reliability, and bandwidth requirements,for instance through a dedicated network slice. In this paper, we propose a Digital Twin (DT)-assisted radio resource allocation scheme that manages the Radio Access Network (RAN) resources within the ToD network slice. In particular, our contributions leverage interactions between the DT of the RAN and of other ToD players to feed an algorithm for efficient radio resource allocation, based on the actual ToD service demand on the planned driving paths. Early results on a realistic map demonstrate the resource savings achieved by our proposal compared to a static resource allocation scheme. Read More
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