Abstract

A joint scheme introducing probabilistic shaping (PS) at the transmitter and utilizing a neural network (NN) equalizer at the receiver is proposed to improve the performance of the $b$-modulated nonlinear frequency division multiplexing (NFDM) system. Through a numerical simulation, we demonstrate that PS plays a leading role for low launch power case, which improves the performance of the system effectively, while the NN equalizer’s superiority appears in a high launch power region, whose main role is to weaken the correlation among subcarriers for improving system performance. The proposed scheme would enlighten the optimum modulation and detection schemes of the NFDM system.

© 2021 Optical Society of America

Two-stage artificial neural network-based burst-subcarrier joint equalization in nonlinear frequency division multiplexing systems

Xinyu Chen, Hao Ming, Chenjia Li, Guangqiang He, and Fan Zhang
Opt. Lett. 46(7) 1700-1703 (2021)

Geometric shaping optimization of 64-APSK constellation in discrete nonlinear frequency division multiplexing systems

Junda Chen, Yizhao Chen, Yuxiang Duan, Xuefeng Wang, Li Wang, Tianhao Tong, Yating Xiang, Can Zhao, Deming Liu, and Ming Tang
Opt. Lett. 46(14) 3368-3371 (2021)

Improvement for a full-spectrum modulated nonlinear frequency division multiplexing transmission system

Jiacheng Wei, Lixia Xi, Xulun Zhang, Jiayun Deng, Ruofan Zhang, Shucheng Du, Wenbo Zhang, and Xiaoguang Zhang
Opt. Express 30(17) 31195-31208 (2022)

ASE noise mitigation with digital frequency offset loading for discrete spectrum nonlinear frequency division multiplexing systems

Yanfeng Bi, Hengying Xu, Yining Zhang, Chenglin Bai, Donghu Yao, Tingting Dong, HongBing Gao, Lishan Yang, and Lixia Xi
Opt. Lett. 48(21) 5707-5710 (2023)

Robust neural network receiver for multiple-eigenvalue modulated nonlinear frequency division multiplexing system

Yue Wu, Lixia Xi, Xulun Zhang, Zibo Zheng, Jiacheng Wei, Shucheng Du, Wenbo Zhang, and Xiaoguang Zhang
Opt. Express 28(12) 18304-18316 (2020)