Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems

被引：0
|
作者：
Kumar, Shiva [1 ]
Maghrabi, Mahmoud M. T. [1 ]
Bakr, Mohamed H. [1 ]
Hirooka, Toshihiko [2 ]
Nakazawa, Masataka [2 ]
机构：
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton L8S 4L8, ON, Canada
[2] Tohoku Univ, Res Inst Elect Commun, Sendai 9808577, Japan
来源：
IEEE PHOTONICS JOURNAL | 2024年 / 16卷 / 05期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Optical fibers; Reservoirs; Nonlinear optics; Fiber nonlinear optics; Optical receivers; Optical feedback; Communication systems; Dispersion; fiber optics; fiber nonlinear effects; optical communication; reservoir computing; recurrent neural network; DISPERSION; SIGNAL; PHASE;
D O I：
10.1109/JPHOT.2024.3462438
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Reservoir computing (RC) is a bio-inspired framework suited for temporal data processing. Here we propose an all optical coherent RC for the equalization of the impairments of fiber optic (FO) system based on coherent detection. We compare the performances of the RC systems based on semiconductor saturable absorber mirror (SESAM) and highly nonlinear waveguide (HNLW). For a dispersion managed long haul FO system in which the nonlinear penalty is dominant, we find that the SESAM outperforms the HNLW due to its larger nonlinear memory. In contrast, for the equalization of dispersive impairments in a short haul FO system such as data center networks, we find that the HNLW has a much superior performance due to its larger linear memory.
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收藏
页数：10
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