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.
N1 - Funding Information:
V. ACKNOWLEDGMENT The work at the DSP Centre has been part-funded by the European Regional Development Fund through Welsh Government and also by the North Wales Growth Deal through Ambition North Wales, Welsh Government, and UK Government.
Publisher Copyright:
© 2023 IEEE.
PY - 2023/3/17
Y1 - 2023/3/17
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 - http://www.scopus.com/inward/record.url?scp=85150625501&partnerID=8YFLogxK
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
T2 - 20th IEEE Consumer Communications and Networking Conference, CCNC 2023
Y2 - 8 January 2023 through 11 January 2023
ER -