Evaluation of the 5G Data Plane for Advanced Vehicular Use Cases with 5G-Sim-V2I/N

摘要

Many vehicular use cases are already based on V2I (Vehicle-to-Infrastructure) and V2N (Vehicle-to-Network) driven applications. The importance of such applications will increase with the upcoming 5G mobile technology because different stakeholders, e.g., the 3rd Generation Partnership Project (3GPP) or the 5G Automotive Association (5GAA), define further use cases in that context. Regarding the evaluation of the application capabilities different Quality-of-Service (QoS) metrics are of interest. In this paper, we modified the recently introduced OMNeT++ framework 5G-Sim-V2I/N for such a use case evaluation. We modelled four different advanced vehicular use cases (video streaming, parallel running applications in several vehicles, remote driving and cooperative perception via V2I) and simulated all of them with different parameter sets in two traffic scenarios. We integrated the 5G HARQ mechanism and ran simulations with different numbers of active processes. The reliability and the jitter were measured for each simulated data packet in downlink and uplink direction. By conducting these experiments it turned out that an increasing number of HARQ processes can lead to a severe impairment of performance. The effects will be illustrated and potential reasons will be identified.