TY - JOUR
T1 - A UAV-Mounted free space optical communication
T2 - Trajectory optimization for flight time
AU - Lee, Ju Hyung
AU - Park, Ki Hong
AU - Ko, Young Chai
AU - Alouini, Mohamed Slim
N1 - Funding Information:
Manuscript received December 13, 2018; revised April 11, 2019, June 25, 2019, September 12, 2019, and November 18, 2019; accepted November 18, 2019. Date of publication December 4, 2019; date of current version March 10, 2020. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant NRF-2018R1A2B2007789 and in part by the King Abdullah University of Science and Technology. This article is to be presented in part at the 2019 IEEE Globecom Workshops. The associate editor coordinating the review of this article and approving it for publication was L. Galluccio. (Corresponding author: Young-Chai Ko.) J.-H. Lee and Y.-C. Ko are with the School of Electrical and Computer Engineering, Korea University, Seoul 02841, South Korea (e-mail: leejuhyung@korea.ac.kr; koyc@korea.ac.kr).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - In this work, we address the trajectory optimization of a fixed-wing unmanned aerial vehicle (UAV) using free space optical communication (FSOC). Here, we focus on maximizing the flight time of the UAV by considering practical constraints for wireless UAV communication, including limited propulsion energy and required data rates. We find optimized trajectories in various atmospheric environments (e.g., moderate-fog and heavy-fog conditions), while also considering the channel characteristics of FSOC. In addition to maximizing the flight time, we consider the energy efficiency maximization and operation-time minimization problem to find the suboptimal solutions required to meet those constraints. Furthermore, we introduce a low-complexity approach to the proposed framework. In order to address the optimization problem, we conduct a bisection method and sequential programming and introduce a new feasibility check algorithm. Although our design considers suboptimal solutions owing to the nonconvexity of the problems, our simulations indicate that the proposed scheme exhibits a gain of approximately 44.12% in terms of service time when compared to the conventional scheme.
AB - In this work, we address the trajectory optimization of a fixed-wing unmanned aerial vehicle (UAV) using free space optical communication (FSOC). Here, we focus on maximizing the flight time of the UAV by considering practical constraints for wireless UAV communication, including limited propulsion energy and required data rates. We find optimized trajectories in various atmospheric environments (e.g., moderate-fog and heavy-fog conditions), while also considering the channel characteristics of FSOC. In addition to maximizing the flight time, we consider the energy efficiency maximization and operation-time minimization problem to find the suboptimal solutions required to meet those constraints. Furthermore, we introduce a low-complexity approach to the proposed framework. In order to address the optimization problem, we conduct a bisection method and sequential programming and introduce a new feasibility check algorithm. Although our design considers suboptimal solutions owing to the nonconvexity of the problems, our simulations indicate that the proposed scheme exhibits a gain of approximately 44.12% in terms of service time when compared to the conventional scheme.
KW - Free space optical communication (FSOC)
KW - UAV-mounted FSOC
KW - flight time maximization
KW - trajectory design
KW - wireless communications with an unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85081749199&partnerID=8YFLogxK
U2 - 10.1109/TWC.2019.2955475
DO - 10.1109/TWC.2019.2955475
M3 - Article
AN - SCOPUS:85081749199
SN - 1536-1276
VL - 19
SP - 1610
EP - 1621
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 3
M1 - 8922897
ER -
