Free space optical communication on UAV-Assisted backhaul networks: Optimization for service time

Ju Hyung Lee; Ki Hong 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, Ki Hong Park, Mohamed Slim Alouini, Young Chai Ko

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

20 Citations (Scopus)

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
Title of host publication	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728109602
DOIs	https://doi.org/10.1109/GCWkshps45667.2019.9024382
Publication status	Published - 2019 Dec
Event	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States Duration: 2019 Dec 9 → 2019 Dec 13

Publication series

Name	2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference	2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/Territory	United States
City	Waikoloa
Period	19/12/9 → 19/12/13

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Software
Control and Optimization

Access to Document

10.1109/GCWkshps45667.2019.9024382

Cite this

Lee, J. H., Park, K. H., Alouini, M. S., & Ko, Y. C. (2019). Free space optical communication on UAV-Assisted backhaul networks: Optimization for service time. In 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings Article 9024382 (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps45667.2019.9024382

Free space optical communication on UAV-Assisted backhaul networks: Optimization for service time. / Lee, Ju Hyung; Park, Ki Hong; Alouini, Mohamed Slim et al.
2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 9024382 (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings).

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

Lee, JH, Park, KH, Alouini, MS & Ko, YC 2019, Free space optical communication on UAV-Assisted backhaul networks: Optimization for service time. in 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings., 9024382, 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Globecom Workshops, GC Wkshps 2019, Waikoloa, United States, 19/12/9. https://doi.org/10.1109/GCWkshps45667.2019.9024382

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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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Free space optical communication on UAV-Assisted backhaul networks: Optimization for service time

Abstract

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