TY - GEN
T1 - Neural Network Based Digital Pre-Distorter Design for DCO-OFDM Visible Light Communications
AU - Narmanlioglu, Omer
AU - Turan, Bugra
AU - Coleri, Sinem
AU - Uysal, Murat
N1 - Funding Information:
VI. ACKNOWLEDGMENT This work was supported by CHIST-ERA grant CHISTERA-18-SDCDN-001, the Scientific and Technological Council of Turkey 119E350 and Ford Otosan.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - DCO-OFDM
KW - Visible light communication
KW - digital pre-distorter
KW - linearization
KW - neural network
UR - http://www.scopus.com/inward/record.url?scp=85142220865&partnerID=8YFLogxK
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U2 - 10.1109/MeditCom55741.2022.9928724
DO - 10.1109/MeditCom55741.2022.9928724
M3 - Conference contribution
AN - SCOPUS:85142220865
T3 - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
SP - 142
EP - 147
BT - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
Y2 - 5 September 2022 through 8 September 2022
ER -