An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications

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

^*Corresponding author for this work

Mathematics, Physics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728167435
ISBN (Print)	9781728160511
DOIs	https://doi.org/10.1109/CSNDSP49049.2020.9249579
Publication status	Published - 20 Jul 2020
Event	12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing - Online, Porto, Portugal Duration: 20 Jul 2020 → 22 Jul 2020 https://csndsp2020.av.it.pt/

Conference

Conference	12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing
Abbreviated title	CSNDSP
Country/Territory	Portugal
City	Porto
Period	20/07/20 → 22/07/20
Internet address	https://csndsp2020.av.it.pt/

Keywords

CP 4-PAM
optical camera communications
ANN equalizer

Access to Document

10.1109/CSNDSP49049.2020.9249579

Cite this

Younus, O., Bani Hassan, N., Ghassemlooy, Z., Zvanovec, S., Alves, L. N., Haigh, P. A., & 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

@inproceedings{1ed0b17501654cf7aa9ba3e0f9511c0c,

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

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

year = "2020",

month = jul,

day = "20",

doi = "10.1109/CSNDSP49049.2020.9249579",

language = "English",

isbn = "9781728160511",

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

publisher = "IEEE",

address = "United States",

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

url = "https://csndsp2020.av.it.pt/",

}

Younus, O, Bani Hassan, N, Ghassemlooy, Z, Zvanovec, S, Alves, LN, Haigh, PA & 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, 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, 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. / Younus, Othman; Bani Hassan, Navid; Ghassemlooy, Zabih et al.
2020: 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). Piscataway: IEEE, 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications

AU - Younus, Othman

AU - Bani Hassan, Navid

AU - Ghassemlooy, Zabih

AU - Zvanovec, Stanislav

AU - Alves, Luis Nero

AU - Haigh, Paul Anthony

AU - Le Minh, Hoa

PY - 2020/7/20

Y1 - 2020/7/20

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.

AB - 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.

KW - CP 4-PAM

KW - optical camera communications

KW - ANN equalizer

U2 - 10.1109/CSNDSP49049.2020.9249579

DO - 10.1109/CSNDSP49049.2020.9249579

M3 - Conference contribution

SN - 9781728160511

BT - 2020: 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

PB - IEEE

CY - Piscataway

T2 - 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing

Y2 - 20 July 2020 through 22 July 2020

ER -

An Artificial Neural Network Equalizer for Constant Power 4-PAM in Optical Camera Communications

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this