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Adaptive MIMO-CSK camera-based VLC system for vehicle-to-vehicle communications.

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dc.contributor.author Halawi, Safa Mohamad
dc.date.accessioned 2020-03-28T11:50:10Z
dc.date.available 2019-09
dc.date.available 2020-03-28T11:50:10Z
dc.date.issued 2018
dc.date.submitted 2018
dc.identifier.other b22068995
dc.identifier.uri http://hdl.handle.net/10938/21720
dc.description Thesis. M.E. American University of Beirut. Department of Electrical and Computer Engineering, 2018. ET:6873.
dc.description Advisor : Dr. Zaher Dawy, Professor, Electrical and Computer Engineering ; Members of Committee : Dr. Ibrahim Abou Faycal, Professor, Electrical and Computer Engineering ; Dr. Hassan Ali Artail, Professor, Electrical and Computer Engineering.
dc.description Includes bibliographical references (leaves 54-58)
dc.description.abstract This thesis investigates the bit-error probability of circular color shift keying (CSK) constellations in a Visible Light Communications (VLC) scenario with a camera-based receiver. The impact of the distance between the transmitter and the receiver is illustrated. The noise at the receiver is investigated and transferred from the spacial domain to an angular noise in the International Commission on Illumination (CIE) color domain, where it is shown to behave similarly to a Gaussian distribution. Based on this approximation, a closed-form expression of the bit-error rate (BER) of circular CSK constellations is derived. Simulation results show that this closed-form BER approximation holds for BER ranges corresponding to VLC applications of practical interest. This approximation is also extended to a scenario with diversity using selection combining, where results show that signi cant BER improvements are obtained. Also, Multiple Input Multiple Output (MIMO) system is illustrated to increase symbol rate, and the trade off between the symbol rate and BER is analyzed. Finally, a link adaptation approach maximizing the number of bits per transmitted symbol, while meeting a target BER, is proposed based on the obtained BER results with and without diversity.
dc.format.extent 1 online resource (xi, 58 leaves) : color illustrations
dc.language.iso eng
dc.subject.classification ET:006873
dc.subject.lcsh Optical communications.
dc.subject.lcsh Telecommunication.
dc.subject.lcsh Wireless communication systems.
dc.title Adaptive MIMO-CSK camera-based VLC system for vehicle-to-vehicle communications.
dc.type Thesis
dc.contributor.department Department of Electrical and Computer Engineering
dc.contributor.faculty Maroun Semaan Faculty of Engineering and Architecture
dc.contributor.institution American University of Beirut


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