Department of Electrical and Electronics Engineering2024-11-0920229781-6654-9825-810.1109/MeditCom55741.2022.99287242-s2.0-85142220865https://dx.doi.org/10.1109/MeditCom55741.2022.9928724https://hdl.handle.net/20.500.14288/12907Direct 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.EngineeringTelecommunicationsOpticsConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142220865&doi=10.1109%2fMeditCom55741.2022.9928724&partnerID=40&md5=3aa0db38feb287ac36c667afc56ad72810558