Modulation Format Dependent Phase Noise Caused by Intra-channel Nonlinearity

Fan, Yangyang; Li, Dou; Tao, Zhenning; Li, Lei; Oda, Shunri; Hoshida, Takeshi; Rasmussen, Jens C.

doi:10.1364/eceoc.2012.we.2.c.3

Cited by 17 publications

(14 citation statements)

References 5 publications

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“…Equation (5) is for DP case, and it degenerates to single polarization case by setting A y to zero. One fact supporting A-M model is the higher nonlinear phase noise of 16QAM compared with QPSK [25]. In 16QAM, the symbol amplitude is no longer the same, so that additional phase noise is caused by IXPM term according to (5c).…”

Section: B A-m Modelmentioning

confidence: 99%

“…Furthermore, the dependence of model accuracy on optical power is investigated. Those quantitative results that were not reported in [25]- [27] are very important to know where and how the proposed models could be used.…”

Section: Introductionmentioning

confidence: 99%

“…We have proposed a more accurate additive-multiplicative (A-M) model in [25] for 16 quadrature amplitude modulation (QAM), the power weighted model to further increase the accuracy in [26], and the Nyquist nonlinear model for arbitrary signal waveform in [27].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we combine the ideas in [25]- [27] to predict the time-varying nonlinear noise waveform more accurately. The power weighted A-M model is suitable for return-to-zero (RZ) pulse shaped system, and the Nyquist nonlinear model is for non-return-to-zero (NRZ), Nyquist pulse, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Intrachannel Nonlinear Models to Predict the Nonlinear Noise Waveform

Tao

Zhao

Fan

et al. 2015

J. Lightwave Technol.

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Intrachannel nonlinearity is considered as a major distortion in high capacity transmission systems. To better understand the nonlinear distortion, the nonlinearity modeling is an essential technology. Most of current nonlinear models focus on the statistical characteristics of nonlinear noise. In this paper, we investigate the analytical models that predict the time-varying nonlinear noise waveform. For the return-to-zero (RZ) pulse-shaped system, the "power weighted, additive-multiplicative model" is investigated under various system conditions for quadrature phase shift keying and 16 quadrature amplitude modulation formats, with dispersion managed and unmanaged link composed of standard single mode fiber or nonzero dispersion-shifted fiber. For the non-RZ and Nyquist pulses, the Nyquist nonlinear model is investigated. Both two models achieved 95% accuracy which is defined as the absolute value of the cross correlation between the noise waveform obtained by split step Fourier simulation and the waveform calculated by the model. Simulation also shows that the model functions well for the most optical power range of commercial communication systems.

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Section: B A-m Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analytical Intrachannel Nonlinear Models to Predict the Nonlinear Noise Waveform

Tao

Zhao

Fan

et al. 2015

J. Lightwave Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…We verified by simulation that they both over-estimate the Q-factor [11], and that LP is never more accurate than eRP in practical WDM systems, both dispersion-unmanaged (DU) and dispersion-managed (DM). Recently, Fan et al proposed a mixed RP-LP approximation [12]. …”

Section: Rp Erp Lpmentioning

confidence: 99%