Neural network based joint spatial and temporal equalization for MIMO-VLC system

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Rajbhandari, Sujan and Chun, Hyunchae and Faulkner, Graheme and Haas, Harald and Xie, Enyuan and McKendry, Jonathan J. D. and Herrnsdorf, Johannes and Gu, Erdan and Dawson, Martin D. and O'Brien, Dominic (2019) Neural network based joint spatial and temporal equalization for MIMO-VLC system. IEEE Photonics Technology Letters, 31 (11). pp. 821-824. ISSN 1041-1135 (https://doi.org/10.1109/LPT.2019.2909139)

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Abstract

The limited bandwidth of white light-emitting diode (LED) limits the achievable data rate in a visible light communication (VLC) system. A number of techniques, including multiple-input-multiple-output (MIMO) system, are investigated to increase the data rate. The high-speed optical MIMO system suffers from both spatial and temporal cross talks. The spatial cross-talk is often compensated by the MIMO decoding algorithm, while the temporal cross talk is mitigated using an equalizer. However, the LEDs have a non-linear transfer function and the performance of linear equalizers are limited. In this letter, we propose a joint spatial and temporal equalization using an artificial neural network (ANN) for an MIMO-VLC system. We demonstrate using a practical imaging/non-imaging optical MIMO link that the ANN-based joint equalization outperforms the joint equalization using a traditional decision feedback as ANN is able to compensate the non-linear transfer function as well as cross talk.

ORCID iDs

Rajbhandari, Sujan ORCID logoORCID: https://orcid.org/0000-0001-8742-118X, Chun, Hyunchae, Faulkner, Graheme, Haas, Harald, Xie, Enyuan ORCID logoORCID: https://orcid.org/0000-0001-7776-8091, McKendry, Jonathan J. D. ORCID logoORCID: https://orcid.org/0000-0002-6379-3955, Herrnsdorf, Johannes ORCID logoORCID: https://orcid.org/0000-0002-3856-5782, Gu, Erdan ORCID logoORCID: https://orcid.org/0000-0002-7607-9902, Dawson, Martin D. ORCID logoORCID: https://orcid.org/0000-0002-6639-2989 and O'Brien, Dominic;
  • Item type:Article
    ID code:67864
    Dates:
    Date
    Event
    1 June 2019
    Published
    4 April 2019
    Published Online
    27 March 2019
    Accepted
    20 January 2019
    Submitted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Science > Physics > Institute of Photonics
    Depositing user: Pure Administrator
    Date deposited:15 May 2019 11:30
    Last modified:22 Dec 2024 01:22
    URI:https://strathprints.strath.ac.uk/id/eprint/67864
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