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

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.