TY - GEN
T1 - Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time
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.
UR - http://hdl.handle.net/10754/668031
UR - https://ieeexplore.ieee.org/document/9024382/
UR - http://www.scopus.com/inward/record.url?scp=85078860709&partnerID=8YFLogxK
U2 - 10.1109/gcwkshps45667.2019.9024382
DO - 10.1109/gcwkshps45667.2019.9024382
M3 - Conference contribution
SN - 9781728109602
BT - 2019 IEEE Globecom Workshops (GC Wkshps)
PB - IEEE
ER -