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Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing. / Cai, Qiang; Guo, Ya; Li, Pu et al.
In: Photon. Res., Vol. 9, No. 1, 01.01.2021, p. B1-B8.

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Cai Q, Guo Y, Li P, Bogris A, Shore KA, Zhang Y et al. Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing. Photon. Res. 2021 Jan 1;9(1):B1-B8. doi: 10.1364/PRJ.409114

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Cai, Qiang ; Guo, Ya ; Li, Pu et al. / Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing. In: Photon. Res. 2021 ; Vol. 9, No. 1. pp. B1-B8.

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TY - JOUR

T1 - Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing

AU - Cai, Qiang

AU - Guo, Ya

AU - Li, Pu

AU - Bogris, Adonis

AU - Shore, K. Alan

AU - Zhang, Yamei

AU - Wang, Yuncai

PY - 2021/1/1

Y1 - 2021/1/1

N2 - We present a simple approach based on photonic reservoir computing (P-RC) for modulation format identification (MFI) in optical fiber communications. Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals. Numerical simulations are conducted for three widely used modulation formats (onx2013;off keying, differential phase-shift keying, and quadrature amplitude modulation) for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26x00A0;dB, the chromatic dispersion varies from x2212;500 to 500x00A0;ps/nm, and the differential group delay varies from 0 to 20x00A0;ps. Under these situations, final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of gt;95RC layer such as the injection strength, feedback strength, bias current, and frequency detuning. The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI.

AB - We present a simple approach based on photonic reservoir computing (P-RC) for modulation format identification (MFI) in optical fiber communications. Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals. Numerical simulations are conducted for three widely used modulation formats (onx2013;off keying, differential phase-shift keying, and quadrature amplitude modulation) for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26x00A0;dB, the chromatic dispersion varies from x2212;500 to 500x00A0;ps/nm, and the differential group delay varies from 0 to 20x00A0;ps. Under these situations, final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of gt;95RC layer such as the injection strength, feedback strength, bias current, and frequency detuning. The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI.

KW - Differential phase shift keying

KW - Fiber optic communications

KW - Numerical simulation

KW - Optical networks

KW - Phase modulation

KW - Quadrature amplitude modulation

U2 - 10.1364/PRJ.409114

DO - 10.1364/PRJ.409114

M3 - Article

VL - 9

SP - B1-B8

JO - Photon. Res.

JF - Photon. Res.

IS - 1

ER -