Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time

Ju-Hyung Lee; Kihong Park; Mohamed-Slim Alouini; Young-Chai Ko

doi:10.1109/gcwkshps45667.2019.9024382

Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time

Ju-Hyung Lee, Kihong Park, Mohamed-Slim Alouini, Young-Chai Ko

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

17 Scopus citations

Abstract

In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.

Original language	English (US)
Title of host publication	2019 IEEE Globecom Workshops (GC Wkshps)
Publisher	IEEE
ISBN (Print)	9781728109602
DOIs	https://doi.org/10.1109/gcwkshps45667.2019.9024382
State	Published - Dec 2019

Bibliographical note

KAUST Repository Item: Exported on 2021-03-11
Acknowledgements: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)

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10.1109/gcwkshps45667.2019.9024382

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title = "Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time",

abstract = "In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.",

author = "Ju-Hyung Lee and Kihong Park and Mohamed-Slim Alouini and Young-Chai Ko",

note = "KAUST Repository Item: Exported on 2021-03-11 Acknowledgements: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)",

year = "2019",

month = dec,

doi = "10.1109/gcwkshps45667.2019.9024382",

language = "English (US)",

isbn = "9781728109602",

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AU - Lee, Ju-Hyung

AU - Park, Kihong

AU - Alouini, Mohamed-Slim

AU - Ko, Young-Chai

N1 - KAUST Repository Item: Exported on 2021-03-11 Acknowledgements: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)

PY - 2019/12

Y1 - 2019/12

N2 - In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.

AB - In this work, we address the trajectory optimization of a fixed-wing UAV using free space optical communication (FSO). Here, we focus on maximizing the service time of FSO-based vertical wireless backhaul networks by considering practical constraints for wireless UAV communication, including limited energy and required data rates. To solve the optimization problem, we use a bisection method and sequential programming and introduce a new feasibility algorithm. Although we design suboptimal solutions due to the non-convexity of the problems, simulation indicates that the proposed schemes exhibit a gain of approximately 123.4% in terms of service-time when compared with the conventional scheme.

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DO - 10.1109/gcwkshps45667.2019.9024382

M3 - Conference contribution

SN - 9781728109602

BT - 2019 IEEE Globecom Workshops (GC Wkshps)

PB - IEEE

ER -

Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time

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