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    On the Statistical Modeling of the Underwater Optical Wireless Channel Subject to Air Bubbles

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    Type
    Thesis
    Authors
    Shin, Myoungkeun cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee members
    Parsani, Matteo cc
    Park,Ki-Hong
    Program
    Applied Mathematics and Computational Science
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-05-08
    Permanent link to this record
    http://hdl.handle.net/10754/652467
    
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    Abstract
    In underwater wireless optical communications (UWOC), the obstruction of light propagation by air bubbles is one of the main factors which causes light power to fluctuate at the receiver. In this thesis, we construct a statistical model for the received power in the presence of air bubbles. First, we postulate some random variables based on some real experiments, such as the size of a bubble, the generation of each bubble, and the horizontal and vertical movements of a bubble. Second, we mathematically express the amount of obstructed power which the shade of each bubble causes over the beam area and sum them all up to get the total obstructed power. In order to use the method of moments, we find the expectation, the second and/or the third moments of the total obstructed power. Lastly, we use these two or three moments of it to find suitable distributions that match the simulation data, which are the Weibull distribution and Generalized gamma distribution respectively. With these distributions, we construct the statistical model of the received power. Furthermore, we show that those distributions fit well to the simulation data.
    Citation
    Shin, M. (2019). On the Statistical Modeling of the Underwater Optical Wireless Channel Subject to Air Bubbles. KAUST Research Repository. https://doi.org/10.25781/KAUST-4962G
    DOI
    10.25781/KAUST-4962G
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-4962G
    Scopus Count
    Collections
    Applied Mathematics and Computational Science Program; Theses; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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