Dynamic Keeping Reserved Resource Probability with Slicing Flow Steering in 5G Sidelink SPS for Platooning ADAS and Autonomous Self Driving*

摘要

5G cellular networking provides lower delay in 1-10 (ms) and ultra-reliable communications of network slicing of diverse types of flows definitely achieving diverse ADAS, e.g., Cellular Vehicle-to-Everything (C-V2X), Cooperative Intelligent Transportation System (C-ITS), etc. Several critical issues exhibit such driving communications in 5G. Typically, since extremely big data accesses among fast driving vehicles of unreliable V2X communications through both 5G contention-based random access interfaces: PC5 and sidelink V2X obviously increase contention collision probability, this clearly degrades the performance of delay, loss, and goodput. This paper thus proposes the approach of Dynamically Keeping reserved resource probability with flow traffic Steering (namely DKS) for platooning CACC and Emergency types of slicing in 5G. Two key contributions include: 1) dynamically determining the keeping reserved resource probability according to the collision probability and different priorities of flows and 2) dynamically steering 5G flow slicing for diverse ADAS applications, especially for platooning CACC, Emergency, etc. Evaluation results show that the proposed DKS approach outperforms the compared approaches in access collision probability, access delay, successful probability, goodput, the number of driving shockwaves, average vehicle velocity, and average travel time.