Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

Akinsola S Akinsanya; Manish Nair; Yijin Pan; Jiangzhou Wang

doi:10.1109/VTC2020-Spring48590.2020.9128605

Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

Akinsola S Akinsanya^*, Manish Nair^*, Yijin Pan^*, Jiangzhou Wang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

98 Downloads (Pure)

Abstract

In vehicular communication systems, maximizing the number of served vehicles while simultaneously guaranteeing reliable coverage at all the vehicles can be a challenging proposition. A switched-beam based infrastructure can provide better reliability as the signal-to-interference-plus-noise ratio (SINR) can be improved. However, a simple switched-beam based vehicle-to-infrastructure (V2I) system alone may not suffice for serving all the vehicles because (i) the number of vehicle is more than the number of beam, and (ii) a vehicle may be out of the coverage region of a beam. Therefore, introducing vehicle-to-vehicle (V2V) communication becomes crucial in extending the number of served vehicles. In this paper, ajoint vehicle-beam allocation (VBA) and vehicular proximity (VP) algorithms for V2I and V2V, respectively are proposed to guarantee reliable coverage for vehicles. VBA is an SINR optimization algorithm, and VP is based on LTE Mode 4, a proximity based service for V2V communications. It is shown that setting a flexible SINR threshold helps in attaining a reliable beam coverage region in switched-beam based V2I communication. It is proven that the outage probability are also directly dependent on SINR thresholds. Lastly, the concept of utility ratio is also introduced as a metric for reliability. Simulation results show that joint V2I and V2V communication significantly improves the utility ratio.

Original language	English
Title of host publication	2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	978-1-7281-5207-3
ISBN (Print)	978-1-7281-4053-7
DOIs	https://doi.org/10.1109/VTC2020-Spring48590.2020.9128605
Publication status	Published - 28 May 2020
Event	2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) - Online Duration: 25 May 2020 → 31 Jul 2020 https://events.vtsociety.org/vtc2020-spring/

Publication series

Name	IEEE Vehicular Technology Conference
Publisher	IEEE
ISSN (Print)	1090-3038
ISSN (Electronic)	2577-2465

Conference

Conference	2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Abbreviated title	VTC2020-Spring
Period	25/05/20 → 31/07/20
Internet address	https://events.vtsociety.org/vtc2020-spring/

Keywords

Reliability
Beam
BS
V2X
SINR
MIMO

Access to Document

10.1109/VTC2020-Spring48590.2020.9128605

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Akinsanya, A. S., Nair, M., Pan, Y., & Wang, J. (2020). Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems. In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (IEEE Vehicular Technology Conference). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VTC2020-Spring48590.2020.9128605

@inproceedings{742fb2ffca10489dbbd9c1a815c366fe,

title = "Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems",

abstract = "In vehicular communication systems, maximizing the number of served vehicles while simultaneously guaranteeing reliable coverage at all the vehicles can be a challenging proposition. A switched-beam based infrastructure can provide better reliability as the signal-to-interference-plus-noise ratio (SINR) can be improved. However, a simple switched-beam based vehicle-to-infrastructure (V2I) system alone may not suffice for serving all the vehicles because (i) the number of vehicle is more than the number of beam, and (ii) a vehicle may be out of the coverage region of a beam. Therefore, introducing vehicle-to-vehicle (V2V) communication becomes crucial in extending the number of served vehicles. In this paper, ajoint vehicle-beam allocation (VBA) and vehicular proximity (VP) algorithms for V2I and V2V, respectively are proposed to guarantee reliable coverage for vehicles. VBA is an SINR optimization algorithm, and VP is based on LTE Mode 4, a proximity based service for V2V communications. It is shown that setting a flexible SINR threshold helps in attaining a reliable beam coverage region in switched-beam based V2I communication. It is proven that the outage probability are also directly dependent on SINR thresholds. Lastly, the concept of utility ratio is also introduced as a metric for reliability. Simulation results show that joint V2I and V2V communication significantly improves the utility ratio.",

keywords = "Reliability, Beam, BS, V2X, SINR, MIMO",

author = "Akinsanya, \{Akinsola S\} and Manish Nair and Yijin Pan and Jiangzhou Wang",

year = "2020",

month = may,

day = "28",

doi = "10.1109/VTC2020-Spring48590.2020.9128605",

language = "English",

isbn = "978-1-7281-4053-7",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)",

address = "United States",

note = "2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), VTC2020-Spring ; Conference date: 25-05-2020 Through 31-07-2020",

url = "https://events.vtsociety.org/vtc2020-spring/",

}

Akinsanya, AS, Nair, M, Pan, Y & Wang, J 2020, Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems. in 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers (IEEE), 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 25/05/20. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128605

Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems. / Akinsanya, Akinsola S; Nair, Manish; Pan, Yijin et al.
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). Institute of Electrical and Electronics Engineers (IEEE), 2020. (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

AU - Akinsanya, Akinsola S

AU - Nair, Manish

AU - Pan, Yijin

AU - Wang, Jiangzhou

PY - 2020/5/28

Y1 - 2020/5/28

N2 - In vehicular communication systems, maximizing the number of served vehicles while simultaneously guaranteeing reliable coverage at all the vehicles can be a challenging proposition. A switched-beam based infrastructure can provide better reliability as the signal-to-interference-plus-noise ratio (SINR) can be improved. However, a simple switched-beam based vehicle-to-infrastructure (V2I) system alone may not suffice for serving all the vehicles because (i) the number of vehicle is more than the number of beam, and (ii) a vehicle may be out of the coverage region of a beam. Therefore, introducing vehicle-to-vehicle (V2V) communication becomes crucial in extending the number of served vehicles. In this paper, ajoint vehicle-beam allocation (VBA) and vehicular proximity (VP) algorithms for V2I and V2V, respectively are proposed to guarantee reliable coverage for vehicles. VBA is an SINR optimization algorithm, and VP is based on LTE Mode 4, a proximity based service for V2V communications. It is shown that setting a flexible SINR threshold helps in attaining a reliable beam coverage region in switched-beam based V2I communication. It is proven that the outage probability are also directly dependent on SINR thresholds. Lastly, the concept of utility ratio is also introduced as a metric for reliability. Simulation results show that joint V2I and V2V communication significantly improves the utility ratio.

AB - In vehicular communication systems, maximizing the number of served vehicles while simultaneously guaranteeing reliable coverage at all the vehicles can be a challenging proposition. A switched-beam based infrastructure can provide better reliability as the signal-to-interference-plus-noise ratio (SINR) can be improved. However, a simple switched-beam based vehicle-to-infrastructure (V2I) system alone may not suffice for serving all the vehicles because (i) the number of vehicle is more than the number of beam, and (ii) a vehicle may be out of the coverage region of a beam. Therefore, introducing vehicle-to-vehicle (V2V) communication becomes crucial in extending the number of served vehicles. In this paper, ajoint vehicle-beam allocation (VBA) and vehicular proximity (VP) algorithms for V2I and V2V, respectively are proposed to guarantee reliable coverage for vehicles. VBA is an SINR optimization algorithm, and VP is based on LTE Mode 4, a proximity based service for V2V communications. It is shown that setting a flexible SINR threshold helps in attaining a reliable beam coverage region in switched-beam based V2I communication. It is proven that the outage probability are also directly dependent on SINR thresholds. Lastly, the concept of utility ratio is also introduced as a metric for reliability. Simulation results show that joint V2I and V2V communication significantly improves the utility ratio.

KW - Reliability

KW - Beam

KW - BS

KW - V2X

KW - SINR

KW - MIMO

U2 - 10.1109/VTC2020-Spring48590.2020.9128605

DO - 10.1109/VTC2020-Spring48590.2020.9128605

M3 - Conference Contribution (Conference Proceeding)

SN - 978-1-7281-4053-7

T3 - IEEE Vehicular Technology Conference

BT - 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Y2 - 25 May 2020 through 31 July 2020

ER -

Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

Abstract

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Keywords

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