A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System

Danni Zhang; Zhongwei Tan; Xinyuan Ma; Shun Lu; Wenhua Ren; Fengping Yan

doi:10.1109/JPHOT.2024.3382596

IEEE Photonics Journal (Jan 2024)

A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System

Danni Zhang,
Zhongwei Tan,
Xinyuan Ma,
Shun Lu,
Wenhua Ren,
Fengping Yan

Affiliations

Danni Zhang: ORCiD; Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Zhongwei Tan: ORCiD; Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Xinyuan Ma: ORCiD; National Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China
Shun Lu: ORCiD; Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Wenhua Ren: ORCiD; Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
Fengping Yan: ORCiD; Institute of Lightwave Technology, Key Lab of All Optical Network and Advanced Telecommunication Network of EMC and the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

DOI: https://doi.org/10.1109/JPHOT.2024.3382596
Journal volume & issue: Vol. 16, no. 3
pp. 1 – 9

Abstract

Read online

There is an increasing demand for data with the development of the world, and various fiber optic multiplexing techniques have become an important research direction to improve transmission capacity. However, the transmitted signals are subject to great interference due to mode coupling and mode dispersion, which require multiple-input multiple-output (MIMO) digital signal processing techniques to restore the quality of the transmitted signals. In this paper, a novel MIMO detector is designed using an adaptive learning recurrent neural network and successfully implemented in a mixed wavelength-division-mode-division-multiplexing (WDM-MDM) optical transmission system, and its performance is compared with that of the forced-zero detector and the minimum-mean-square-error detector. The results show that the introduction of an adaptive machine learning model in MIMO detection for WDM-MDM optical transmission systems can significantly improve the quality of the transmitted signals and achieve better performance than other MIMO detection algorithms while maintaining a faster computational speed and a lower number of parameters.

Published in IEEE Photonics Journal

ISSN: 1943-0655 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics; Science: Physics: Optics. Light
Website: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4563994

About the journal

Abstract

Keywords