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

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    Type
    Conference Paper
    Authors
    Lee, Ju-Hyung
    Park, Kihong cc
    Alouini, Mohamed-Slim cc
    Ko, Young-Chai
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2019-12
    Permanent link to this record
    http://hdl.handle.net/10754/668031
    
    Metadata
    Show full item record
    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.
    Citation
    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. 2019 IEEE Globecom Workshops (GC Wkshps). doi:10.1109/gcwkshps45667.2019.9024382
    Sponsors
    This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2019 IEEE Globecom Workshops, GC Wkshps 2019
    ISBN
    9781728109602
    DOI
    10.1109/gcwkshps45667.2019.9024382
    Additional Links
    https://ieeexplore.ieee.org/document/9024382/
    ae974a485f413a2113503eed53cd6c53
    10.1109/gcwkshps45667.2019.9024382
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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