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Numerical Study of Parallel Optoelectronic Reservoir Computing to Enhance Nonlinear Channel Equalization
Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China..
Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China.;Zhejiang Lab, Hangzhou 311121, Peoples R China..
KTH, School of Engineering Sciences (SCI), Applied Physics, Photonics.ORCID iD: 0000-0003-4906-1704
Zhejiang Inst Metrol, Hangzhou 310018, Peoples R China..
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2021 (English)In: Photonics, ISSN 2304-6732, Vol. 8, no 10, article id 406Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
MDPI AG , 2021. Vol. 8, no 10, article id 406
Keywords [en]
reservoir computing, nonlinear channel equalization, optoelectronic, communication
National Category
Telecommunications Communication Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-305121DOI: 10.3390/photonics8100406ISI: 000712634800001Scopus ID: 2-s2.0-85116008914OAI: oai:DiVA.org:kth-305121DiVA, id: diva2:1613281
Note

QC 20211122

Available from: 2021-11-22 Created: 2021-11-22 Last updated: 2022-06-25Bibliographically approved

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Pang, Xiaodan

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