Numerical Study of Parallel Optoelectronic Reservoir Computing to Enhance Nonlinear Channel Equalization

被引：12

作者：

Feng, Xingxing ^{[1
]}

Zhang, Lu ^{[1
,2
]}

Pang, Xiaodan ^{[3
]}

Gu, Xiazhen ^{[4
]}

Yu, Xianbin ^{[1
,2
]}

机构：

[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China

[2] Zhejiang Lab, Hangzhou 311121, Peoples R China

[3] Royal Inst Technol, S-16440 Stockholm, Sweden

[4] Zhejiang Inst Metrol, Hangzhou 310018, Peoples R China

来源：

PHOTONICS | 2021年 / 8卷 / 10期

基金：

美国国家科学基金会; 瑞典研究理事会;

关键词：

reservoir computing; nonlinear channel equalization; optoelectronic; communication;

D O I：

10.3390/photonics8100406

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Nonlinear impairment is one of the critical limits to enhancing the performance of high-speed communication systems. Traditional digital signal processing (DSP)-based nonlinear channel equalization schemes are influenced by limited bandwidth, high power consumption, and high processing latency. Optoelectronic reservoir computing (RC) is considered a promising optical signal processing (OSP) technique with merits such as large bandwidth, high power efficiency, and low training complexity. In this paper, optoelectronic RC was employed to solve the nonlinear channel equalization problem. A parallel optoelectronic RC scheme with a dual-polarization Mach-Zehnder modulator (DPol-MZM) is proposed and demonstrated numerically. The nonlinear channel equalization performance was greatly enhanced compared with the traditional optoelectronic RC and the Volterra-based nonlinear DSP schemes. In addition, the system efficiency was improved with a single DPol-MZM.

引用

页数：11

共 24 条

[1] Information processing using a single dynamical node as complex system [J].

Appeltant, L. ;

Soriano, M. C. ;

Van der Sande, G. ;

Danckaert, J. ;

Massar, S. ;

Dambre, J. ;

Schrauwen, B. ;

Mirasso, C. R. ;

Fischer, I. .

NATURE COMMUNICATIONS, 2011, 2

[2] An adaptive digital predistortion for compensating nonlinear distortions in RF power amplifier with memory effects [J].

Belabad, Ahmad Rahati ;

Motamedi, Seyed Ahmad ;

Sharifian, Saeed .

INTEGRATION-THE VLSI JOURNAL, 2017, 57 :184-191

[3] Reservoir computing system with double optoelectronic feedback loops [J].

Chen, Yaping ;

Yi, Lilin ;

Ke, Junxiang ;

Yang, Zhao ;

Yang, Yunpeng ;

Huang, Luyao ;

Zhuge, Qunbi ;

Hu, Weisheng .

OPTICS EXPRESS, 2019, 27 (20) :27431-27440

[4]

Choi CS, 2012, IEEE INT SYMP CIRC S, P1783

[5] Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization [J].

Das, Gyanesh ;

Pattnaik, Prasant Kumar ;

Padhy, Sasmita Kumari .

EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (07) :3491-3496

[6]

de Figueiredo R. J. P., 1982, Proc. IEEE, V70, P316

[7] All-optical reservoir computing [J].

Duport, Francois ;

Schneider, Bendix ;

Smerieri, Anteo ;

Haelterman, Marc ;

Massar, Serge .

OPTICS EXPRESS, 2012, 20 (20) :22783-22795

[8]

Fang-wei He, 2010, Proceedings 2010 3rd International Symposium on Computational Intelligence and Design (ISCID 2010), P56, DOI 10.1109/ISCID.2010.22

[9] Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM [J].

Giacoumidis, Elias ;

Lin, Yi ;

Wei, Jinlong ;

Aldaya, Ivan ;

Tsokanos, Athanasios ;

Barry, Liam P. .

FUTURE INTERNET, 2019, 11 (01)

[10] On-chip Parallel Photonic Reservoir Computing using Multiple Delay lines [J].

Hasnain, Syed Ali ;

Mahapatra, Rabi .

2020 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2020), 2020, :28-34

← 1 2 3 →