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Conferences > OFC > 2023 > W2B > W2B.26

Deep Learning-Based End-to-End Bit-Wise Autoencoder for G-Band Fiber-Terahertz Integrated DFT-S-OFDM Communication System

Zhongya Li, Changle Huang, Junlian Jia, Guoqiang Li, Wangwei Shen, Jianyang Shi, Ziwei Li, Chao Shen, Junwen Zhang, and Nan Chi

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Abstract

We proposed and experimentally demonstrated a bit-wise end-to-end deep-learning-based autoencoder for a fiber-THz integrated DFT-S-OFDM communication system at 209 GHz. More than 5.5-dB sensitivity gain is achieved compared with traditional DFT-S-OFDM system at 50Gbps.

© 2023 The Author(s)

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