Author
Narmanlıoğlu, Ömer, Turan, B., Coleri, S., Uysal, Murat
Publication Date
2022
Publication Place
-
IEEE
Subject
DCO-OFDM, Digital pre-distorter, Linearization, Neural network, Visible light communication
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-166549825-8
Record ID
f7d133f3-7f50-474b-a95f-78fed748bd46
Library Location
Electrical & Electronics Engineering
Date
2022
Notes
TÜBİTAK
Sample Text
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.
DOI
10.1109/MeditCom55741.2022.9928724
