Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

Si Chan Noh; Hong Bae Jeon; Chan Byoung Chae

doi:10.1109/LWC.2020.2982889

Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

Si Chan Noh, Hong Bae Jeon, Chan Byoung Chae

School of Integrated Technology

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.

Original language	English
Article number	9044857
Pages (from-to)	1155-1159
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	8
DOIs	https://doi.org/10.1109/LWC.2020.2982889
Publication status	Published - 2020 Aug

Bibliographical note

Funding Information:
Manuscript received December 19, 2019; revised March 15, 2020; accepted March 17, 2020. Date of publication March 23, 2020; date of current version August 7, 2020. This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant (UD160070BD). The associate editor coordinating the review of this article and approving it for publication was H. S. Dhillon. (Si-Chan Noh and Hong-Bae Jeon are co-first authors.) (Corresponding author: Chan-Byoung Chae.) Si-Chan Noh was with the School of Integrated Technology, Yonsei University, Seoul 120-749, South Korea. He is now with the PHY Research and Development Group, Newratek Inc., Seoul 06175, South Korea (e-mail: sc.noh@newratek.com).

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/LWC.2020.2982889

Cite this

@article{2d041d30e66a4e949c75db6fcb691c15,

title = "Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations",

abstract = "The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.",

author = "Noh, {Si Chan} and Jeon, {Hong Bae} and Chae, {Chan Byoung}",

note = "Funding Information: Manuscript received December 19, 2019; revised March 15, 2020; accepted March 17, 2020. Date of publication March 23, 2020; date of current version August 7, 2020. This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant (UD160070BD). The associate editor coordinating the review of this article and approving it for publication was H. S. Dhillon. (Si-Chan Noh and Hong-Bae Jeon are co-first authors.) (Corresponding author: Chan-Byoung Chae.) Si-Chan Noh was with the School of Integrated Technology, Yonsei University, Seoul 120-749, South Korea. He is now with the PHY Research and Development Group, Newratek Inc., Seoul 06175, South Korea (e-mail: sc.noh@newratek.com). Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2020",

month = aug,

doi = "10.1109/LWC.2020.2982889",

language = "English",

volume = "9",

pages = "1155--1159",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

number = "8",

}

TY - JOUR

T1 - Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

AU - Noh, Si Chan

AU - Jeon, Hong Bae

AU - Chae, Chan Byoung

N1 - Funding Information: Manuscript received December 19, 2019; revised March 15, 2020; accepted March 17, 2020. Date of publication March 23, 2020; date of current version August 7, 2020. This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant (UD160070BD). The associate editor coordinating the review of this article and approving it for publication was H. S. Dhillon. (Si-Chan Noh and Hong-Bae Jeon are co-first authors.) (Corresponding author: Chan-Byoung Chae.) Si-Chan Noh was with the School of Integrated Technology, Yonsei University, Seoul 120-749, South Korea. He is now with the PHY Research and Development Group, Newratek Inc., Seoul 06175, South Korea (e-mail: sc.noh@newratek.com). Publisher Copyright: © 2012 IEEE.

PY - 2020/8

Y1 - 2020/8

N2 - The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.

AB - The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.

UR - http://www.scopus.com/inward/record.url?scp=85089532557&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85089532557&partnerID=8YFLogxK

U2 - 10.1109/LWC.2020.2982889

DO - 10.1109/LWC.2020.2982889

M3 - Article

AN - SCOPUS:85089532557

SN - 2162-2337

VL - 9

SP - 1155

EP - 1159

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 8

M1 - 9044857

ER -

Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this