Effect of dispersion on spectrum-sliced WDM systems

Wongpaibool, Virach; Jacobs, I.

doi:10.1109/leos.1998.737886

Cited by 1 publication

(2 citation statements)

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“…For example, with a bit rate of 2.5Gbps, a FWHM slice width of 0.8nm, and no dispersion, the GA sensitivity prediction (-26.9dBm) differs by some 2dB compared with an extremely computationally intensive calculation based on the accurate pdfs (-28.9dBm) from Arya and Jacobs [12], whereas the SPA (-28.5dbm) is within 0.4dB. Moreover, the SPA has proved highly effective at obtaining agreement with measured results [13] and the results correspond well with those using a Fourier approach with chi square statistics [14]. In addition, measured results in [15] display power penalties of 1-2 dB consistent with the SPA results rather than the large penalties predicted by the GA. Figure 3 shows the optimum receiver sensitivity and its corresponding optical bandwidth as a function of the normalized distance.…”

Section: Resultssupporting

confidence: 52%

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Spectrum-Sliced Wavelength Division Multiplexed Systems with Optical Preamplifiers

Sun

Leeson

2009

Fiber and Integrated Optics

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-The effect of dispersion on a spectrum-sliced WDM (SS-WDM) system with an optical preamplifier receiver is investigated for the first time. A theoretical model based on the statistics of both the incoherent source emission and the fiber dispersion is developed and used to obtain the bit error rate (BER). This model improves understanding of the spectral slicing method in a realistic situation where dispersion significantly impacts the transmission prior to arrival at the optical preamplifier. The optically preamplified receiver delivers a system of 2.5Gbps with at least twice the transmission capacity of a one with a pin diode receiver. This arises because the optimum slice width is decreased to ~0.3 nm allowing over 110 WDM channels. As a further benefit, a sensitivity improvement of 8.75 dB offers a superior power budget in comparison with the pin diode receiver, and the power efficiency can be improved by over 8dB. The results are obtained using the saddlepoint approximation and compared to the customary Gaussian approximation. The latter is found to be reasonably accurate in predicting the optimum bandwidth but conservative in sensitivity predictions.

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