UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication

Akniyet Amantayeva; Moldir Yerzhanova; Refik Kizilirmak

doi:10.1109/WD.2019.8734156

UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication

Akniyet Amantayeva, Moldir Yerzhanova, Refik Kizilirmak

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.

Original language	English
Title of host publication	2019 Wireless Days, WD 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728101170
DOIs	https://doi.org/10.1109/WD.2019.8734156
Publication status	Published - Apr 1 2019
Event	2019 Wireless Days, WD 2019 - Manchester, United Kingdom Duration: Apr 24 2019 → Apr 26 2019

Publication series

Name	IFIP Wireless Days
Volume	2019-April
ISSN (Print)	2156-9711
ISSN (Electronic)	2156-972X

Conference

Conference	2019 Wireless Days, WD 2019
Country	United Kingdom
City	Manchester
Period	4/24/19 → 4/26/19

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/WD.2019.8734156

Fingerprint Dive into the research topics of 'UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication'. Together they form a unique fingerprint.

Cite this

Amantayeva, A., Yerzhanova, M., & Kizilirmak, R. (2019). UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication. In 2019 Wireless Days, WD 2019 [8734156] (IFIP Wireless Days; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/WD.2019.8734156

@inproceedings{30eec34db29e4cd1bfdd203433b3b59c,

title = "UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication",

abstract = "Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.",

author = "Akniyet Amantayeva and Moldir Yerzhanova and Refik Kizilirmak",

year = "2019",

month = apr,

day = "1",

doi = "10.1109/WD.2019.8734156",

language = "English",

series = "IFIP Wireless Days",

publisher = "IEEE Computer Society",

booktitle = "2019 Wireless Days, WD 2019",

address = "United States",

note = "2019 Wireless Days, WD 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

}

TY - GEN

T1 - UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication

AU - Amantayeva, Akniyet

AU - Yerzhanova, Moldir

AU - Kizilirmak, Refik

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.

AB - Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.

UR - http://www.scopus.com/inward/record.url?scp=85068556473&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068556473&partnerID=8YFLogxK

U2 - 10.1109/WD.2019.8734156

DO - 10.1109/WD.2019.8734156

M3 - Conference contribution

AN - SCOPUS:85068556473

T3 - IFIP Wireless Days

BT - 2019 Wireless Days, WD 2019

PB - IEEE Computer Society

T2 - 2019 Wireless Days, WD 2019

Y2 - 24 April 2019 through 26 April 2019

ER -