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    Optimal linear precoding for indoor visible light communication system

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    Type
    Conference Paper
    Authors
    Sifaou, Houssem cc
    Park, Kihong cc
    Kammoun, Abla cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2017-07-31
    Permanent link to this record
    http://hdl.handle.net/10754/626085
    
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    Abstract
    Visible light communication (VLC) is an emerging technique that uses light-emitting diodes (LED) to combine communication and illumination. It is considered as a promising scheme for indoor wireless communication that can be deployed at reduced costs while offering high data rate performance. In this paper, we focus on the design of the downlink of a multi-user VLC system. Inherent to multi-user systems is the interference caused by the broadcast nature of the medium. Linear precoding based schemes are among the most popular solutions that have recently been proposed to mitigate inter-user interference. This paper focuses on the design of the optimal linear precoding scheme that solves the max-min signal-to-interference-plus-noise ratio (SINR) problem. The performance of the proposed precoding scheme is studied under different working conditions and compared with the classical zero-forcing precoding. Simulations have been provided to illustrate the high gain of the proposed scheme.
    Citation
    Sifaou H, Park K-H, Kammoun A, Alouini M-S (2017) Optimal linear precoding for indoor visible light communication system. 2017 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/icc.2017.7997330.
    Publisher
    IEEE
    Journal
    2017 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2017 IEEE International Conference on Communications, ICC 2017
    DOI
    10.1109/icc.2017.7997330
    Additional Links
    http://ieeexplore.ieee.org/document/7997330/
    ae974a485f413a2113503eed53cd6c53
    10.1109/icc.2017.7997330
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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