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Fast neural network inverse model to maximize throughput in ultra-wideband WDM systems
Paper Details
Published: 2024/10/21
Journal: Optics Express
Volume: 32
Number: 22
Pages: 38642-38654
DOI: 10.1364/OE.536632
Paper Links
HTMLUltra-wideband systems expand the optical bandwidth in wavelength-division multiplexed (WDM) systems to provide increased capacity using the existing fiber infrastructure. In this paper, the authors propose a fast and accurate data-driven deep neural network-based physical layer in this paper which can achieve 99 – 100% throughput compared to the semi-analytical approach with more than 2 orders of magnitude improvement in computational time.
