University of Oulu

H. Khan, S. Samarakoon and M. Bennis, "Enhancing Video Streaming in Vehicular Networks via Resource Slicing," in IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 3513-3522, April 2020, doi: 10.1109/TVT.2020.2975068

Enhancing video streaming in vehicular networks via resource slicing

Saved in:
Author: Khan, Hamza1; Samarakoon, Sumudu1; Bennis, Mehdi1,2
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Department of Computer Science and Engineering, Kyung Hee University, Seoul 17104, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020060440612
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-06-04
Description:

Abstract

Vehicle-to-everything (V2X) communication is a key enabler that connects vehicles to neighboring vehicles, infrastructure and pedestrians. In the past few years, multimedia services have seen an enormous growth and it is expected to increase as more devices will utilize infotainment services in the future i.e. vehicular devices. Therefore, it is important to focus on user centric measures i.e. quality-of-experience (QoE) such as video quality (resolution) and fluctuations therein. In this paper, a novel joint video quality selection and resource allocation technique is proposed for increasing the QoE of vehicular devices. The proposed approach exploits the queuing dynamics and channel states of vehicular devices, to maximize the QoE while ensuring seamless video playback at the end users with high probability. The network wide QoE maximization problem is decoupled into two subparts. First, a network slicing based clustering algorithm is applied to partition the vehicles into multiple logical networks. Secondly, vehicle scheduling and quality selection is formulated as a stochastic optimization problem which is solved using the Lyapunov drift plus penalty method. Numerical results show that the proposed algorithm ensures high video quality experience compared to the baseline. Simulation results also show that the proposed technique achieves low latency and high-reliability communication.

see all

Series: IEEE transactions on vehicular technology
ISSN: 0018-9545
ISSN-E: 1939-9359
ISSN-L: 0018-9545
Volume: 69
Issue: 4
Pages: 3513 - 3522
DOI: 10.1109/TVT.2020.2975068
OADOI: https://oadoi.org/10.1109/TVT.2020.2975068
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
5G
QoE
V2X
Funding: This research was supported by the Kvantum institute strategic project SAFARI, High5 project number 2192/31/2016 funded by Business Finland, Bittium, Keysight, Kyynel, MediaTek, Nokia, University of Oulu and the Academy of Finland 6Genesis Flagship project under grant 318927. First author is grateful for the grants received from the HPY, Nokia, and Walter Ahlströmin Foundation. We would like to thank Dr. Anis Elgabli for helping in the revision process of this work.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.