Fast and Accurate DNN-Based Approach in Maximizing Ultra-Wideband Fiber-Optic Systems Throughput

Zelin Gan; Mykyta Shevchenko; Sam Nallaperuma Herzberg; Seb J. Savory

doi:10.1364/OFC.2024.M4K.6

Optical Fiber Communication Conference (OFC) 2024
Technical Digest Series (Optica Publishing Group, 2024),
paper M4K.6
•https://doi.org/10.1364/OFC.2024.M4K.6

Fast and Accurate DNN-Based Approach in Maximizing Ultra-Wideband Fiber-Optic Systems Throughput

Zelin Gan, Mykyta Shevchenko, Sam Nallaperuma Herzberg, and Seb J. Savory

Optical Fiber Communication Conference 2024

San Diego California United States
24–28 March 2024
ISBN: 978-1-957171-32-6

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Z. Gan, M. Shevchenko, S. N. Herzberg, and S. J. Savory, "Fast and Accurate DNN-Based Approach in Maximizing Ultra-Wideband Fiber-Optic Systems Throughput," in Optical Fiber Communication Conference (OFC) 2024, Technical Digest Series (Optica Publishing Group, 2024), paper M4K.6.

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Abstract

We present a fast and accurate physical layer model assisted by a neural network to maximize the throughput for ultra-wideband systems. The proposed approach significantly saves computation time and keeps the same precision.

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