Adaptive cooperative communications for enhancing QoS in vehicular networks

Radwa Ahmed Osman, Xiao-hong Peng, M.a. Omar

Research output: Contribution to journalArticle

Abstract

In a vehicular network with high mobility, it is challenging to ensure reliable and efficient connections among vehicles and between vehicles and roadside communication units (or infrastructure) such as base stations or WiFi hot spots. In this paper, we propose a method that utilizes cooperative communications for a combined vehicle-to-infrastructure (V2I) with vehicle-to-vehicle (V2V) approach to improving quality of service (QoS) across the vehicular network. In this approach, we have obtained the closed-form expressions of key QoS performances such as outage probability, throughput, energy efficiency, packet delivery ratio, packet loss rate and average end-to-end-delay for different investigated transmission schemes. These performances can be optimized by adaptively selecting appropriate transmission schemes and, as a results, good trade-offs between system reliability and efficiency can also be achieved under various environmental conditions.
Original languageEnglish
Pages (from-to)285-294
Number of pages10
JournalPhysical Communication
Volume34
Early online date13 Sep 2018
DOIs
Publication statusPublished - 1 Jun 2019

Fingerprint

Cooperative communication
Quality of service
Roadsides
Packet loss
Outages
Base stations
Energy efficiency
Throughput
Communication

Bibliographical note

© 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • QoS
  • V2V
  • V21
  • cooperative communications

Cite this

Osman, Radwa Ahmed ; Peng, Xiao-hong ; Omar, M.a. / Adaptive cooperative communications for enhancing QoS in vehicular networks. In: Physical Communication. 2019 ; Vol. 34. pp. 285-294.
@article{fc82750c40814745a5430186f2e3cdea,
title = "Adaptive cooperative communications for enhancing QoS in vehicular networks",
abstract = "In a vehicular network with high mobility, it is challenging to ensure reliable and efficient connections among vehicles and between vehicles and roadside communication units (or infrastructure) such as base stations or WiFi hot spots. In this paper, we propose a method that utilizes cooperative communications for a combined vehicle-to-infrastructure (V2I) with vehicle-to-vehicle (V2V) approach to improving quality of service (QoS) across the vehicular network. In this approach, we have obtained the closed-form expressions of key QoS performances such as outage probability, throughput, energy efficiency, packet delivery ratio, packet loss rate and average end-to-end-delay for different investigated transmission schemes. These performances can be optimized by adaptively selecting appropriate transmission schemes and, as a results, good trade-offs between system reliability and efficiency can also be achieved under various environmental conditions.",
keywords = "QoS, V2V, V21, cooperative communications",
author = "Osman, {Radwa Ahmed} and Xiao-hong Peng and M.a. Omar",
note = "{\circledC} 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/",
year = "2019",
month = "6",
day = "1",
doi = "10.1016/j.phycom.2018.08.008",
language = "English",
volume = "34",
pages = "285--294",

}

Adaptive cooperative communications for enhancing QoS in vehicular networks. / Osman, Radwa Ahmed; Peng, Xiao-hong; Omar, M.a.

In: Physical Communication, Vol. 34, 01.06.2019, p. 285-294.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Adaptive cooperative communications for enhancing QoS in vehicular networks

AU - Osman, Radwa Ahmed

AU - Peng, Xiao-hong

AU - Omar, M.a.

N1 - © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2019/6/1

Y1 - 2019/6/1

N2 - In a vehicular network with high mobility, it is challenging to ensure reliable and efficient connections among vehicles and between vehicles and roadside communication units (or infrastructure) such as base stations or WiFi hot spots. In this paper, we propose a method that utilizes cooperative communications for a combined vehicle-to-infrastructure (V2I) with vehicle-to-vehicle (V2V) approach to improving quality of service (QoS) across the vehicular network. In this approach, we have obtained the closed-form expressions of key QoS performances such as outage probability, throughput, energy efficiency, packet delivery ratio, packet loss rate and average end-to-end-delay for different investigated transmission schemes. These performances can be optimized by adaptively selecting appropriate transmission schemes and, as a results, good trade-offs between system reliability and efficiency can also be achieved under various environmental conditions.

AB - In a vehicular network with high mobility, it is challenging to ensure reliable and efficient connections among vehicles and between vehicles and roadside communication units (or infrastructure) such as base stations or WiFi hot spots. In this paper, we propose a method that utilizes cooperative communications for a combined vehicle-to-infrastructure (V2I) with vehicle-to-vehicle (V2V) approach to improving quality of service (QoS) across the vehicular network. In this approach, we have obtained the closed-form expressions of key QoS performances such as outage probability, throughput, energy efficiency, packet delivery ratio, packet loss rate and average end-to-end-delay for different investigated transmission schemes. These performances can be optimized by adaptively selecting appropriate transmission schemes and, as a results, good trade-offs between system reliability and efficiency can also be achieved under various environmental conditions.

KW - QoS

KW - V2V

KW - V21

KW - cooperative communications

UR - https://linkinghub.elsevier.com/retrieve/pii/S1874490717303555

U2 - 10.1016/j.phycom.2018.08.008

DO - 10.1016/j.phycom.2018.08.008

M3 - Article

VL - 34

SP - 285

EP - 294

ER -