Multilevel PAM with ANN Equalization for an RC-LED SI-POF System

Isaac N.O. Osahon; Sujan Rajbhandari; Asim Ihsan; Jianming Tang; Wasiu O. Popoola

doi:10.1109/CCNC51644.2023.10059694

Multilevel PAM with ANN Equalization for an RC-LED SI-POF System

Isaac N.O. Osahon
, Sujan Rajbhandari
, Asim Ihsan
, Jianming Tang
, Wasiu O. Popoola

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

3 Scopus citations

Abstract

In this experimental study, data transmission over step-index plastic optical fiber (SI-POF) is implemented with multilevel pulse amplitude modulation (PAM-M) scheme using a resonant cavity light emitting diode (RC-LED) as the optical transmitter. An artificial neural network (ANN) based equalizer is used in the RC-LED SI-POF system to jointly mitigate channel distortion and system non-linearities. Furthermore, the ANN equalizer's performance is compared to state-of-the-art equalizers used for the system - the Volterra equalizer and the decision feedback equalizer (DFE). The ANN equalizer offers the best bit rates compared to the others for the system with high non-linearities. For instance, at a BER of about 10-3, the ANN equalizer results in a bit rate of 780 Mbps, 710 Mbps, and 650 Mbps with PAM-2, PAM-4 and PAM-8 schemes, respectively. However, the Volterra equalizer results in a bit rate of 720 Mbps, 660 Mbps, and 580 Mbps with these PAM schemes, respectively. And with the DFE, the bit rates are 610 Mbps, 510 Mbps, and 120 Mbps, respectively.

Original language	English
Title of host publication	2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	481-484
Number of pages	4
ISBN (Electronic)	9781665497343
DOIs	https://doi.org/10.1109/CCNC51644.2023.10059694
State	Published - 2023
Externally published	Yes

Publication series

Name	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
Volume	2023-January
ISSN (Print)	2331-9860

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

artificial neural network
Equalization
multi-layer perceptron
plastic optical fiber communication
pulse amplitude modulation
resonant cavity light emitting diode

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CCNC51644.2023.10059694

Cite this

Osahon, I. N. O., Rajbhandari, S., Ihsan, A., Tang, J., & Popoola, W. O. (2023). Multilevel PAM with ANN Equalization for an RC-LED SI-POF System. In 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023 (pp. 481-484). (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC; Vol. 2023-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC51644.2023.10059694

@inproceedings{1f424bf774404dbfaa2108debbd11c39,

title = "Multilevel PAM with ANN Equalization for an RC-LED SI-POF System",

abstract = "In this experimental study, data transmission over step-index plastic optical fiber (SI-POF) is implemented with multilevel pulse amplitude modulation (PAM-M) scheme using a resonant cavity light emitting diode (RC-LED) as the optical transmitter. An artificial neural network (ANN) based equalizer is used in the RC-LED SI-POF system to jointly mitigate channel distortion and system non-linearities. Furthermore, the ANN equalizer's performance is compared to state-of-the-art equalizers used for the system - the Volterra equalizer and the decision feedback equalizer (DFE). The ANN equalizer offers the best bit rates compared to the others for the system with high non-linearities. For instance, at a BER of about 10-3, the ANN equalizer results in a bit rate of 780 Mbps, 710 Mbps, and 650 Mbps with PAM-2, PAM-4 and PAM-8 schemes, respectively. However, the Volterra equalizer results in a bit rate of 720 Mbps, 660 Mbps, and 580 Mbps with these PAM schemes, respectively. And with the DFE, the bit rates are 610 Mbps, 510 Mbps, and 120 Mbps, respectively.",

keywords = "artificial neural network, Equalization, multi-layer perceptron, plastic optical fiber communication, pulse amplitude modulation, resonant cavity light emitting diode",

author = "Osahon, \{Isaac N.O.\} and Sujan Rajbhandari and Asim Ihsan and Jianming Tang and Popoola, \{Wasiu O.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.",

year = "2023",

doi = "10.1109/CCNC51644.2023.10059694",

language = "English",

series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "481--484",

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address = "United States",

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Osahon, INO, Rajbhandari, S, Ihsan, A, Tang, J & Popoola, WO 2023, Multilevel PAM with ANN Equalization for an RC-LED SI-POF System. in 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023. Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, vol. 2023-January, Institute of Electrical and Electronics Engineers Inc., pp. 481-484. https://doi.org/10.1109/CCNC51644.2023.10059694

Multilevel PAM with ANN Equalization for an RC-LED SI-POF System. / Osahon, Isaac N.O.; Rajbhandari, Sujan; Ihsan, Asim et al.
2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 481-484 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC; Vol. 2023-January).

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

TY - GEN

T1 - Multilevel PAM with ANN Equalization for an RC-LED SI-POF System

AU - Osahon, Isaac N.O.

AU - Rajbhandari, Sujan

AU - Ihsan, Asim

AU - Tang, Jianming

AU - Popoola, Wasiu O.

PY - 2023

Y1 - 2023

N2 - In this experimental study, data transmission over step-index plastic optical fiber (SI-POF) is implemented with multilevel pulse amplitude modulation (PAM-M) scheme using a resonant cavity light emitting diode (RC-LED) as the optical transmitter. An artificial neural network (ANN) based equalizer is used in the RC-LED SI-POF system to jointly mitigate channel distortion and system non-linearities. Furthermore, the ANN equalizer's performance is compared to state-of-the-art equalizers used for the system - the Volterra equalizer and the decision feedback equalizer (DFE). The ANN equalizer offers the best bit rates compared to the others for the system with high non-linearities. For instance, at a BER of about 10-3, the ANN equalizer results in a bit rate of 780 Mbps, 710 Mbps, and 650 Mbps with PAM-2, PAM-4 and PAM-8 schemes, respectively. However, the Volterra equalizer results in a bit rate of 720 Mbps, 660 Mbps, and 580 Mbps with these PAM schemes, respectively. And with the DFE, the bit rates are 610 Mbps, 510 Mbps, and 120 Mbps, respectively.

AB - In this experimental study, data transmission over step-index plastic optical fiber (SI-POF) is implemented with multilevel pulse amplitude modulation (PAM-M) scheme using a resonant cavity light emitting diode (RC-LED) as the optical transmitter. An artificial neural network (ANN) based equalizer is used in the RC-LED SI-POF system to jointly mitigate channel distortion and system non-linearities. Furthermore, the ANN equalizer's performance is compared to state-of-the-art equalizers used for the system - the Volterra equalizer and the decision feedback equalizer (DFE). The ANN equalizer offers the best bit rates compared to the others for the system with high non-linearities. For instance, at a BER of about 10-3, the ANN equalizer results in a bit rate of 780 Mbps, 710 Mbps, and 650 Mbps with PAM-2, PAM-4 and PAM-8 schemes, respectively. However, the Volterra equalizer results in a bit rate of 720 Mbps, 660 Mbps, and 580 Mbps with these PAM schemes, respectively. And with the DFE, the bit rates are 610 Mbps, 510 Mbps, and 120 Mbps, respectively.

KW - artificial neural network

KW - Equalization

KW - multi-layer perceptron

KW - plastic optical fiber communication

KW - pulse amplitude modulation

KW - resonant cavity light emitting diode

UR - https://www.scopus.com/pages/publications/85150625501

U2 - 10.1109/CCNC51644.2023.10059694

DO - 10.1109/CCNC51644.2023.10059694

M3 - Conference contribution

AN - SCOPUS:85150625501

T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

SP - 481

EP - 484

BT - 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Osahon INO, Rajbhandari S, Ihsan A, Tang J, Popoola WO. Multilevel PAM with ANN Equalization for an RC-LED SI-POF System. In 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 481-484. (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). doi: 10.1109/CCNC51644.2023.10059694

Multilevel PAM with ANN Equalization for an RC-LED SI-POF System

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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