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

Name: Neural network based digital pre-distorter design for DCO-OFDM visible light communications
Author: Narmanlıoğlu, Ömer, Turan, B., Coleri, S., Uysal, Murat

İsim	Neural network based digital pre-distorter design for DCO-OFDM visible light communications
Yazar	Narmanlıoğlu, Ömer, Turan, B., Coleri, S., Uysal, Murat
Basım Tarihi:	2022
Basım Yeri	- IEEE
Konu	DCO-OFDM, Digital pre-distorter, Linearization, Neural network, Visible light communication
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-166549825-8
Kayıt Numarası	f7d133f3-7f50-474b-a95f-78fed748bd46
Lokasyon	Electrical & Electronics Engineering
Tarih	2022
Notlar	TÜBİTAK
Örnek Metin	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

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

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

Yazar Narmanlıoğlu, Ömer, Turan, B., Coleri, S., Uysal, Murat

Basım Tarihi 2022

Basım Yeri - IEEE

Konu DCO-OFDM, Digital pre-distorter, Linearization, Neural network, Visible light communication

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-166549825-8

Kayıt Numarası f7d133f3-7f50-474b-a95f-78fed748bd46

Lokasyon Electrical & Electronics Engineering

Tarih 2022

Notlar TÜBİTAK

Örnek Metin 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