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Delay Optimization for URLLC in Software Defined Networks: A Case Study on Platooning

Authors:
Muge Erel-Ozcevik
Berk Canberk
Cagri Gungor
Yesim Bayramli

Keywords: SDN; URLLC; e2eDelay; Platooning; MILP

Abstract:
The autonomous driving in a platoon network requires reliable data transfer and strict latency on downlink traffic. These two requirements have been addressed in 5G under the Ultra- Reliable Low Latency Communication (URLLC) specification. In this study, we focus on this 5G service, and we design a novel Software-Defined Platoon Network (SDPN) to optimize the end- to-end Delay (e2eDelay). Our SDPN defines the e2eDelay in a closed-form expression that covers Data and Control planes. To optimize e2eDelay, we propose a Mixed Integer Linear Problem (MILP) that jointly considers the constraints in the vehicle to vehicle (V2V) and the vehicle to infrastructure (V2I) links. Due to the NP-hard characteristic of our MILP optimization and to reduce the computational complexity of the optimization at the same time, we propose a novel Centralized Set Cover algorithm that finds the optimum set cover of vehicles by building platoons. According to the results, our SDPN serves e2eDelay under 3.5 msecs with a 45% improvement over the conventional approach.

Pages: 17 to 22

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-753-5

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019