A MIMO-ANN system for increasing data rates in organic visible light communications systems

Paul Haigh; Zabih Ghassemlooy; Ioannis Papakonstantinou; Francesco Arca; Sandro Tedde; Oliver Hayden

A MIMO-ANN system for increasing data rates in organic visible light communications systems

Paul Haigh, Zabih Ghassemlooy, Ioannis Papakonstantinou, Francesco Arca, Sandro Tedde, Oliver Hayden

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

26 Citations (Scopus)

Abstract

This paper presents the first ever experimental demonstration of a multiple-input multiple-output (MIMO) visible light communications system employing four silicon (Si) light emitting diodes (LEDs) and four organic photodetectors (OPDs) as transmitters and receivers, respectively. The proposed link is relatively low cost and it employs the on-off keying (OOK) modulation format offering a data rate of 200 kb/s without the need for equalization, which is a significant increase compared with previous non-equalized systems. In order to speed up date rates further, we implement an artificial neural network (ANN) to classify the signal and correct the error induced by the matrix inversion at the receiver, allowing a gross bit rate of 1.8 Mb/s in the best case.

Original language	English
Publication status	Published - 2013
Event	IEEE International Conference on Communications - Budapest, Hungary Duration: 1 Jan 2013 → …

Conference

Conference	IEEE International Conference on Communications
Period	1/01/13 → …

Cite this

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title = "A MIMO-ANN system for increasing data rates in organic visible light communications systems",

abstract = "This paper presents the first ever experimental demonstration of a multiple-input multiple-output (MIMO) visible light communications system employing four silicon (Si) light emitting diodes (LEDs) and four organic photodetectors (OPDs) as transmitters and receivers, respectively. The proposed link is relatively low cost and it employs the on-off keying (OOK) modulation format offering a data rate of 200 kb/s without the need for equalization, which is a significant increase compared with previous non-equalized systems. In order to speed up date rates further, we implement an artificial neural network (ANN) to classify the signal and correct the error induced by the matrix inversion at the receiver, allowing a gross bit rate of 1.8 Mb/s in the best case.",

author = "Paul Haigh and Zabih Ghassemlooy and Ioannis Papakonstantinou and Francesco Arca and Sandro Tedde and Oliver Hayden",

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T1 - A MIMO-ANN system for increasing data rates in organic visible light communications systems

AU - Haigh, Paul

AU - Ghassemlooy, Zabih

AU - Papakonstantinou, Ioannis

AU - Arca, Francesco

AU - Tedde, Sandro

AU - Hayden, Oliver

PY - 2013

Y1 - 2013

N2 - This paper presents the first ever experimental demonstration of a multiple-input multiple-output (MIMO) visible light communications system employing four silicon (Si) light emitting diodes (LEDs) and four organic photodetectors (OPDs) as transmitters and receivers, respectively. The proposed link is relatively low cost and it employs the on-off keying (OOK) modulation format offering a data rate of 200 kb/s without the need for equalization, which is a significant increase compared with previous non-equalized systems. In order to speed up date rates further, we implement an artificial neural network (ANN) to classify the signal and correct the error induced by the matrix inversion at the receiver, allowing a gross bit rate of 1.8 Mb/s in the best case.

AB - This paper presents the first ever experimental demonstration of a multiple-input multiple-output (MIMO) visible light communications system employing four silicon (Si) light emitting diodes (LEDs) and four organic photodetectors (OPDs) as transmitters and receivers, respectively. The proposed link is relatively low cost and it employs the on-off keying (OOK) modulation format offering a data rate of 200 kb/s without the need for equalization, which is a significant increase compared with previous non-equalized systems. In order to speed up date rates further, we implement an artificial neural network (ANN) to classify the signal and correct the error induced by the matrix inversion at the receiver, allowing a gross bit rate of 1.8 Mb/s in the best case.

UR - http://www.ieee-icc.org/2013/WC.html

M3 - Poster

T2 - IEEE International Conference on Communications

Y2 - 1 January 2013

ER -

A MIMO-ANN system for increasing data rates in organic visible light communications systems

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