Abstract

In recent years, incoherent approaches in the generation, transport, and detection of millimeter-wave Radio-over-Fiber signals have attracted a lot of attention due to their inherent technological simplicity and cost-effectiveness, which is however at the expense of additional phase-induced noises caused at the receiver's output. The power of deep learning, a subset of machine learning, has appeared recently to be very effective to improve the performance of communication blocks, particularly in signal compression, signal detection, and end-to-end communications. In this article, we propose and demonstrate a new receiver architecture by incorporating deep learning at the receiver. The proposed receiver is demonstrated on an unlocked heterodyning Radio-over-Fiber link. Results show that the proposed deep learning based receiver exhibits a greater tolerance against phase-induced noises, with a bit error rate improvement from $10^{-1}$ to $10^{-5}$ . In addition, the proposed deep learning based receiver performs better, in terms of bit error rate, than conventional self-homodyning based approach when the frequency spacing between reference tone and the main data signal is small.

Bandpass sampling based digital coherent receiver with free-running local oscillator laser for phase-modulated radio-over-fiber links

Minghua Cao, Jianqiang Li, Yitang Dai, Feifei Yin, and Kun Xu
Opt. Express 22(22) 27007-27018 (2014)

Coherent-detection radio-over-fiber link with high spectral efficiency based on digital phase noise cancellation

Guangyi Li, Xiangyan Meng, Lu Wang, Ming Li, Ninghua Zhu, and Wei Li
Appl. Opt. 61(36) 10700-10706 (2022)

OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique

Ziyi Wang, Aiying Yang, Peng Guo, and Pinjing He
Opt. Express 26(16) 21346-21357 (2018)

Bit-based support vector machine nonlinear detector for millimeter-wave radio-over-fiber mobile fronthaul systems

Yue Cui, Min Zhang, Danshi Wang, Siming Liu, Ze Li, and Gee-Kung Chang
Opt. Express 25(21) 26186-26197 (2017)

Dual sideband receiver for radio-over-fiber

Yannik Horst, Tobias Blatter, Laurenz Kulmer, Leo Landolt, Bertold Ian Bitachon, Boris Vukovic, David Moor, Yannick Salamin, and Juerg Leuthold
Opt. Express 32(3) 4305-4316 (2024)