Narmanlıoğlu, ÖmerTuran, B.Coleri, S.Uysal, Murat2023-08-092023-08-092022978-166549825-8http://hdl.handle.net/10679/8599https://doi.org/10.1109/MeditCom55741.2022.9928724Direct 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.enginfo:eu-repo/semantics/restrictedAccessConference paper14214710.1109/MeditCom55741.2022.9928724DCO-OFDMDigital pre-distorterLinearizationNeural networkVisible light communication2-s2.0-85142220865