An artificial neural network equalizer for constant power 4-PAM in optical camera communications

Othman Isam Younus; Navid Bani Hassan; Zabih Ghassemlooy; Stanislav Zvanovec; Luis Nero Alves; Paul Anthony Haigh; Hoa Le Minh

doi:10.1109/CSNDSP49049.2020.9249579

An artificial neural network equalizer for constant power 4-PAM in optical camera communications

Othman Isam Younus^*, Navid Bani Hassan, Zabih Ghassemlooy, Stanislav Zvanovec, Luis Nero Alves, Paul Anthony Haigh, Hoa Le Minh

^*Corresponding author for this work

Institute Of Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

8 Citations (Scopus)

Abstract

In this paper, for the first time, we propose and validate a nonlinear artificial neural network (ANN) equalizer for constant power pulse amplitude modulation (CP 4-PAM) in an optical camera communication (OCC) system. Using the proposed equalizer, we demonstrate experimental-based non-flickering transmission at a data rate of up to 7 kbps using a single light-emitting diode and an image sensor with 30 frames per second rate. The quality of the received signal is introduced based on the eye-diagram opening where we have proved an ability to transmit data with up to 232 bits per frame after the equalizer deployment.

Original language	English
Title of host publication	2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	9781728167435
DOIs	https://doi.org/10.1109/CSNDSP49049.2020.9249579
Publication status	Published - 10 Nov 2020
Event	12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal Duration: 20 Jul 2020 → 22 Jul 2020

Conference

Conference	12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Country/Territory	Portugal
City	Porto
Period	20/07/20 → 22/07/20

Funding

ACKNOWLEDGEMENT One of the authors (Othaman Younus) is funded by the Northumbria University PhD scholarship. This work was also partially supported by the UK EPSRC grant MARVEL (EP/P006280/1) and the EU Horizon 2020 project VISION.

Keywords

ANN equalizer
CP 4-PAM
optical camera communications

Access to Document

10.1109/CSNDSP49049.2020.9249579

Cite this

Isam Younus, O., Bani Hassan, N., Ghassemlooy, Z., Zvanovec, S., Nero Alves, L., Anthony Haigh, P., & Le Minh, H. (2020). An artificial neural network equalizer for constant power 4-PAM in optical camera communications. In 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) IEEE. https://doi.org/10.1109/CSNDSP49049.2020.9249579

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title = "An artificial neural network equalizer for constant power 4-PAM in optical camera communications",

abstract = "In this paper, for the first time, we propose and validate a nonlinear artificial neural network (ANN) equalizer for constant power pulse amplitude modulation (CP 4-PAM) in an optical camera communication (OCC) system. Using the proposed equalizer, we demonstrate experimental-based non-flickering transmission at a data rate of up to 7 kbps using a single light-emitting diode and an image sensor with 30 frames per second rate. The quality of the received signal is introduced based on the eye-diagram opening where we have proved an ability to transmit data with up to 232 bits per frame after the equalizer deployment.",

keywords = "ANN equalizer, CP 4-PAM, optical camera communications",

author = "\{Isam Younus\}, Othman and \{Bani Hassan\}, Navid and Zabih Ghassemlooy and Stanislav Zvanovec and \{Nero Alves\}, Luis and \{Anthony Haigh\}, Paul and \{Le Minh\}, Hoa",

year = "2020",

month = nov,

day = "10",

doi = "10.1109/CSNDSP49049.2020.9249579",

language = "English",

booktitle = "2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)",

publisher = "IEEE",

note = "12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 ; Conference date: 20-07-2020 Through 22-07-2020",

}

Isam Younus, O, Bani Hassan, N, Ghassemlooy, Z, Zvanovec, S, Nero Alves, L, Anthony Haigh, P & Le Minh, H 2020, An artificial neural network equalizer for constant power 4-PAM in optical camera communications. in 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, Piscataway, NJ, 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020, Porto, Portugal, 20/07/20. https://doi.org/10.1109/CSNDSP49049.2020.9249579

An artificial neural network equalizer for constant power 4-PAM in optical camera communications. / Isam Younus, Othman; Bani Hassan, Navid; Ghassemlooy, Zabih et al.
2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). Piscataway, NJ: IEEE, 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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AU - Nero Alves, Luis

AU - Anthony Haigh, Paul

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N2 - In this paper, for the first time, we propose and validate a nonlinear artificial neural network (ANN) equalizer for constant power pulse amplitude modulation (CP 4-PAM) in an optical camera communication (OCC) system. Using the proposed equalizer, we demonstrate experimental-based non-flickering transmission at a data rate of up to 7 kbps using a single light-emitting diode and an image sensor with 30 frames per second rate. The quality of the received signal is introduced based on the eye-diagram opening where we have proved an ability to transmit data with up to 232 bits per frame after the equalizer deployment.

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An artificial neural network equalizer for constant power 4-PAM in optical camera communications

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