University of Oulu

T. Zeng, O. Semiari, W. Saad and M. Bennis, "Dependence Control for Reliability Optimization in Vehicular Networks," 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013252

Dependence control for reliability optimization in vehicular networks

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Author: Zeng, Tengchan1; Semiari, Omid2; Saad, Walid1;
Organizations: 1Wireless@VT, Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA
2Department of Electrical and Computer Engineering, University of Colorado Colorado Springs, Colorado Springs, CO, USA
3Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020060440589
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-06-04
Description:

Abstract

Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping the benefit of vehicular networks is contingent upon meeting stringent wireless communication performance requirements, particularly in terms of delay and reliability. In this paper, a dependence control mechanism is proposed to improve the overall reliability of vehicular networks. In particular, the dependence between the communication delays of different vehicleto-vehicle (V2V) links is first modeled. Then, the concept of a concordance order, stemming from stochastic ordering theory, is introduced to show that a higher dependence can lead to a better reliability. Using this insight, a power allocation problem is formulated to maximize the concordance, thereby optimizing the overall communication reliability of the V2V system. To obtain an efficient solution to the power allocation problem, a dual update method is introduced. Simulation results verify the effectiveness of performing dependence control for reliability optimization in a vehicular network, and show that the proposed mechanism can achieve up to 25% reliability gain compared to a baseline system that uses a random power allocation.

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Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-E: 2576-6813
ISSN-L: 2334-0983
ISBN: 978-1-7281-0962-6
ISBN Print: 978-1-7281-0963-3
Pages: 1 - 6
Article number: 9013252
DOI: 10.1109/GLOBECOM38437.2019.9013252
OADOI: https://oadoi.org/10.1109/GLOBECOM38437.2019.9013252
Host publication: 2019 IEEE Global Communications Conference, GLOBECOM 2019
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported, in part, by the U.S. National Science Foundation under Grants CNS-1739642, CNS-1836802 and CNS-1941348, by the Academy of Finland Project CARMA, by the Academy of Finland Project MISSION, by the Academy of Finland Project SMARTER, as well as by the INFOTECH Project NOOR.
Academy of Finland Grant Number: 319214
Detailed Information: 319214 (Academy of Finland Funding decision)
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