Publication:
Neural network based digital pre-distorter design for DCO-OFDM visible light communications

Placeholder

School / College / Institute

Organizational Unit

Program

KU Authors

Co-Authors

Narmanlıoğlu, Ömer
Uysal, Murat

Publication Date

Language

Embargo Status

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

Direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) is an appealing modulation scheme for reliable, high-speed optical transmissions and foreseen to be used in the upcoming IEEE 802.11bb visible light communication (VLC) standard. However, non-linear characteristics of light emitting diodes (LEDs) as VLC transmitters degrade the bit error rate (BER) performance of DCO-OFDM due to its high peak-to-average-power ratio. In this paper, we propose neural network based digital pre-distorter (DPD) to mitigate non-linear LED response for DCO-OFDM transmission. The proposed scheme extends the reliable transmission range by 1.75 m and 1.8 cm for non-compensated LED response and Memory Polynomial based DPD, respectively.

Source

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Engineering, Telecommunications, Optics

Citation

Has Part

Source

2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022

Book Series Title

Edition

DOI

10.1109/MeditCom55741.2022.9928724

item.page.datauri

Link

Rights

Copyrights Note

Endorsement

Review

Supplemented By

Referenced By

0

Views

0

Downloads

View PlumX Details