Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks

Young Ik Park; Do Yup Kimt; Jang Won Lee

doi:10.1109/ICTC55196.2022.9952456

Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks

Young Ik Park, Do Yup Kimt, Jang Won Lee

Department of Electrical and Electronic Engineering

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

Abstract

In this paper, we investigate a laser-charged un-manned aerial vehicle (UAV) relaying network where a rotary- wing UAV relays data from a ground base station (GBS) to a user equipment (UE), and a charging station (CS) transmits a laser beam to charge the UAV. Instead of using a simplified propulsion power consumption (PPC) model for UAVs, which was widely used in the previous works on the laser-charged UAV relaying networks, we leverage an intractable but more accurate PPC model for UAVs. We study an optimization problem of minimizing the power consumption of the CS while satisfying the UE's minimum data requirement, and we develop an algorithm to solve this problem by jointly optimizing UAV trajectory and charging power. Through simulation, we demonstrate the effectiveness of our trajectory and charging power control algorithm and validate the importance of leveraging the accurate PPC model for UAVs rather than using the simplified one.

Original language	English
Title of host publication	ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Accelerating Digital Transformation with ICT Innovation
Publisher	IEEE Computer Society
Pages	224-229
Number of pages	6
ISBN (Electronic)	9781665499392
DOIs	https://doi.org/10.1109/ICTC55196.2022.9952456
Publication status	Published - 2022
Event	13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of Duration: 2022 Oct 19 → 2022 Oct 21

Publication series

Name	International Conference on ICT Convergence
Volume	2022-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/Territory	Korea, Republic of
City	Jeju Island
Period	22/10/19 → 22/10/21

Bibliographical note

Funding Information:
This research was supported by Unmanned Vehicles Core Technology Research and Development Program through the National Research Foundation of Korea(NRF) and Unmanned Vehicle Advanced Research Center(UVARC) funded by the Ministry of Science and ICT, the Republic of Korea (NRF- 2020M3C1C1A02086427)

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC55196.2022.9952456

Cite this

Park, Y. I., Kimt, D. Y., & Lee, J. W. (2022). Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks. In ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation (pp. 224-229). (International Conference on ICT Convergence; Vol. 2022-October). IEEE Computer Society. https://doi.org/10.1109/ICTC55196.2022.9952456

Park, Young Ik ; Kimt, Do Yup ; Lee, Jang Won. / Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks. ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society, 2022. pp. 224-229 (International Conference on ICT Convergence).

@inproceedings{9661a1347bec401fa33fbfdca26f12d8,

title = "Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks",

abstract = "In this paper, we investigate a laser-charged un-manned aerial vehicle (UAV) relaying network where a rotary- wing UAV relays data from a ground base station (GBS) to a user equipment (UE), and a charging station (CS) transmits a laser beam to charge the UAV. Instead of using a simplified propulsion power consumption (PPC) model for UAVs, which was widely used in the previous works on the laser-charged UAV relaying networks, we leverage an intractable but more accurate PPC model for UAVs. We study an optimization problem of minimizing the power consumption of the CS while satisfying the UE's minimum data requirement, and we develop an algorithm to solve this problem by jointly optimizing UAV trajectory and charging power. Through simulation, we demonstrate the effectiveness of our trajectory and charging power control algorithm and validate the importance of leveraging the accurate PPC model for UAVs rather than using the simplified one.",

author = "Park, {Young Ik} and Kimt, {Do Yup} and Lee, {Jang Won}",

note = "Funding Information: This research was supported by Unmanned Vehicles Core Technology Research and Development Program through the National Research Foundation of Korea(NRF) and Unmanned Vehicle Advanced Research Center(UVARC) funded by the Ministry of Science and ICT, the Republic of Korea (NRF- 2020M3C1C1A02086427) Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; Conference date: 19-10-2022 Through 21-10-2022",

year = "2022",

doi = "10.1109/ICTC55196.2022.9952456",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "224--229",

booktitle = "ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence",

address = "United States",

}

Park, YI, Kimt, DY & Lee, JW 2022, Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks. in ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. International Conference on ICT Convergence, vol. 2022-October, IEEE Computer Society, pp. 224-229, 13th International Conference on Information and Communication Technology Convergence, ICTC 2022, Jeju Island, Korea, Republic of, 22/10/19. https://doi.org/10.1109/ICTC55196.2022.9952456

Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks. / Park, Young Ik; Kimt, Do Yup; Lee, Jang Won.

ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society, 2022. p. 224-229 (International Conference on ICT Convergence; Vol. 2022-October).

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

TY - GEN

T1 - Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks

AU - Park, Young Ik

AU - Kimt, Do Yup

AU - Lee, Jang Won

N1 - Funding Information: This research was supported by Unmanned Vehicles Core Technology Research and Development Program through the National Research Foundation of Korea(NRF) and Unmanned Vehicle Advanced Research Center(UVARC) funded by the Ministry of Science and ICT, the Republic of Korea (NRF- 2020M3C1C1A02086427) Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - In this paper, we investigate a laser-charged un-manned aerial vehicle (UAV) relaying network where a rotary- wing UAV relays data from a ground base station (GBS) to a user equipment (UE), and a charging station (CS) transmits a laser beam to charge the UAV. Instead of using a simplified propulsion power consumption (PPC) model for UAVs, which was widely used in the previous works on the laser-charged UAV relaying networks, we leverage an intractable but more accurate PPC model for UAVs. We study an optimization problem of minimizing the power consumption of the CS while satisfying the UE's minimum data requirement, and we develop an algorithm to solve this problem by jointly optimizing UAV trajectory and charging power. Through simulation, we demonstrate the effectiveness of our trajectory and charging power control algorithm and validate the importance of leveraging the accurate PPC model for UAVs rather than using the simplified one.

AB - In this paper, we investigate a laser-charged un-manned aerial vehicle (UAV) relaying network where a rotary- wing UAV relays data from a ground base station (GBS) to a user equipment (UE), and a charging station (CS) transmits a laser beam to charge the UAV. Instead of using a simplified propulsion power consumption (PPC) model for UAVs, which was widely used in the previous works on the laser-charged UAV relaying networks, we leverage an intractable but more accurate PPC model for UAVs. We study an optimization problem of minimizing the power consumption of the CS while satisfying the UE's minimum data requirement, and we develop an algorithm to solve this problem by jointly optimizing UAV trajectory and charging power. Through simulation, we demonstrate the effectiveness of our trajectory and charging power control algorithm and validate the importance of leveraging the accurate PPC model for UAVs rather than using the simplified one.

UR - http://www.scopus.com/inward/record.url?scp=85143252041&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85143252041&partnerID=8YFLogxK

U2 - 10.1109/ICTC55196.2022.9952456

DO - 10.1109/ICTC55196.2022.9952456

M3 - Conference contribution

AN - SCOPUS:85143252041

T3 - International Conference on ICT Convergence

SP - 224

EP - 229

BT - ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence

PB - IEEE Computer Society

T2 - 13th International Conference on Information and Communication Technology Convergence, ICTC 2022

Y2 - 19 October 2022 through 21 October 2022

ER -

Park YI, Kimt DY, Lee JW. Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks. In ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society. 2022. p. 224-229. (International Conference on ICT Convergence). doi: 10.1109/ICTC55196.2022.9952456

Joint Trajectory and Charging Power Optimization for Laser-Charged UAV Relaying Networks

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this