Abstract:
In this study, a digital twin (DT) framework is introduced to optimize pre-equalization parameters with varying channel features for a wavelength division multiplexing (W...Show MoreMetadata
Abstract:
In this study, a digital twin (DT) framework is introduced to optimize pre-equalization parameters with varying channel features for a wavelength division multiplexing (WDM)-based visible light communication (VLC) system. A dynamic optimization model is established in digital spaces and subsequently demonstrated experimentally in an indoor physical test bed with a data rate of 1 Gb/s via digital pre-equalization and on-off keying (OOK) modulation. The proposed DT method builds semi-real-time connections between reality and virtualization. This iterates the system to remain stable and exhibit high-efficiency performance at a working bit error rate (BER) of 1.0*10−8 under artificial neural network (ANN), support vector regression (SVR), and random forest (RF) models.
Published in: IEEE Communications Magazine ( Volume: 62, Issue: 5, May 2024)