Self-correcting MIMO visible light communications system using localization

Hoa Le Minh; Zabih Ghassemlooy; Andrew Burton; Farag Mousa; Suparna Biswas; Anh Pham; Tien Dat Pham; Shien-Kuei Liaw

doi:10.1109/ICCW.2015.7247368

Self-correcting MIMO visible light communications system using localization

Hoa Le Minh, Zabih Ghassemlooy, Andrew Burton, Farag Mousa, Suparna Biswas, Anh Pham, Tien Dat Pham, Shien-Kuei Liaw

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

Multiple-input-multiple-output (MIMO) technique for visible light communications (VLC) facilitates higher data rate thanks to parallel data transmission. However, full channel-state information (CSI) is a requirement in a MIMO system at all times for successful data recovery, which is a major challenging factor in mobility and shadowing scenarios. In this paper we introduce a novel approach for a self-correcting MIMO system's CSI that enables robustness against channel blocking and overcomes the reduced rank of the CSI matrix thanks to the self-estimation of the MIMO receiver position. This approach is designed to provide seamless MIMO VLC operation. The paper presents the theoretical modelling and numerical evaluation. We show that the system can achieve data recovery for all channels even though one channel (or more) loses the pilot signal, which are used for determining the CSI.

Original language	English
DOIs	https://doi.org/10.1109/ICCW.2015.7247368
Publication status	Published - Jun 2015
Event	2015 IEEE International Conference on Communication Workshop (ICCW) - London Duration: 6 Aug 2015 → …

Conference

Conference	2015 IEEE International Conference on Communication Workshop (ICCW)
Period	6/08/15 → …

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10.1109/ICCW.2015.7247368

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title = "Self-correcting MIMO visible light communications system using localization",

abstract = "Multiple-input-multiple-output (MIMO) technique for visible light communications (VLC) facilitates higher data rate thanks to parallel data transmission. However, full channel-state information (CSI) is a requirement in a MIMO system at all times for successful data recovery, which is a major challenging factor in mobility and shadowing scenarios. In this paper we introduce a novel approach for a self-correcting MIMO system's CSI that enables robustness against channel blocking and overcomes the reduced rank of the CSI matrix thanks to the self-estimation of the MIMO receiver position. This approach is designed to provide seamless MIMO VLC operation. The paper presents the theoretical modelling and numerical evaluation. We show that the system can achieve data recovery for all channels even though one channel (or more) loses the pilot signal, which are used for determining the CSI.",

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AU - Le Minh, Hoa

AU - Ghassemlooy, Zabih

AU - Burton, Andrew

AU - Mousa, Farag

AU - Biswas, Suparna

AU - Pham, Anh

AU - Pham, Tien Dat

AU - Liaw, Shien-Kuei

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N2 - Multiple-input-multiple-output (MIMO) technique for visible light communications (VLC) facilitates higher data rate thanks to parallel data transmission. However, full channel-state information (CSI) is a requirement in a MIMO system at all times for successful data recovery, which is a major challenging factor in mobility and shadowing scenarios. In this paper we introduce a novel approach for a self-correcting MIMO system's CSI that enables robustness against channel blocking and overcomes the reduced rank of the CSI matrix thanks to the self-estimation of the MIMO receiver position. This approach is designed to provide seamless MIMO VLC operation. The paper presents the theoretical modelling and numerical evaluation. We show that the system can achieve data recovery for all channels even though one channel (or more) loses the pilot signal, which are used for determining the CSI.

AB - Multiple-input-multiple-output (MIMO) technique for visible light communications (VLC) facilitates higher data rate thanks to parallel data transmission. However, full channel-state information (CSI) is a requirement in a MIMO system at all times for successful data recovery, which is a major challenging factor in mobility and shadowing scenarios. In this paper we introduce a novel approach for a self-correcting MIMO system's CSI that enables robustness against channel blocking and overcomes the reduced rank of the CSI matrix thanks to the self-estimation of the MIMO receiver position. This approach is designed to provide seamless MIMO VLC operation. The paper presents the theoretical modelling and numerical evaluation. We show that the system can achieve data recovery for all channels even though one channel (or more) loses the pilot signal, which are used for determining the CSI.

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DO - 10.1109/ICCW.2015.7247368

M3 - Paper

T2 - 2015 IEEE International Conference on Communication Workshop (ICCW)

Y2 - 6 August 2015

ER -

Self-correcting MIMO visible light communications system using localization

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