Lightwave Technology

Chapter 9.4.1 - Amplitude Fluctuations

9.4.1 Amplitude Fluctuations

Consider the source of amplitude fluctuations first. As discussed in Section 4.2, XPM originates from the nonlinear nature of the refractive index, which produces a phase shift that depends on the bit patterns of neighboring channels. Strictly speaking, the XPM-induced phase shift should not affect system performance if the GVD effects were negligible. However, any dispersion in fiber converts pattern-dependent phase shifts to power fluctuations, reducing the SNR at the receiver. This conversion can be understood by noting that time-dependent phase changes lead to frequency chirping that affects dispersion-induced broadening of the signal. Such XPM-induced power fluctuations can become quite large for large values of dispersion parameter and channel powers. In a dispersion-managed system, they also depend on the dispersion map employed.

The pump-probe analysis developed in Sections 4.2.3 is often used to estimate the level of XPM-induced power fluctuations on a CW probe as it travels down the fiber link with a data channel acting as a pump at a different wavelength [70]-[73]. Figure 9.13(a) shows fluctuation level σXPM of a probe channel as a function of link length when it propagates with a 10-Gb/s channel separated by 50 GHz and launched with 10-mW power [80]. Each span consists of 60 km of standard fiber, followed with 12 km of DCF, resulting in zero dispersion on average. Symbols are used to compare the pump-probe approach (filled circles) with the numerical solutions obtained by solving the NLS equation (open circles). Clearly, the pump-probe approach provides an order-of-magnitude estimate as it ignores nonlinear distortion of the pump channel. The curve with triangles is obtained when pump distortions are taken into account. The level of pump distortion can be reduced if the DCF length is shortened to 10.8 km so that the average dispersion of the link is anomalous, and soliton effects become important. As seen in Figure 9.13(b), the pump-probe approach is then in better agreement with full numerical simulations. The inset shows the eye diagram for the pump channel after 6 spans. Temporal variations of the probe power (normalized to 1 at the input end) after five spans are displayed in part (c). Solid and dashed curves compare the solution of the NLS equation with the improved pump-probe approach. The important point is that the XPM generates power fluctuations that become larger than 20% after only 300 km. As a result, the SNR at the receiver end will be reduced considerably for all channels. Clearly, one must design a WDM system to minimize them.

09_04_01_Lightwave_Technology-1.jpg

Figure 9.13: Standard deviation of XPM-induced probe fluctuations as a function of link length (each span is 60 km) when the DCF length in each span is (a) 12 km or (b) 10.8 km. (c) Probe fluctuations after 5 spans with an input level normalized to 1. (After Ref. [80]; ©2000 IEEE.)


The results of Figure 9.13 were obtained for a 50-GHz channel spacing. Because of the walk-off effects discussed in Section 4.2.3, XPM-induced power fluctuations depend considerably on channel spacing and become less pronounced as it increases. The solid symbols in Figure 9.14 show the values of σXPM measured in an experiment in which channel spacing was varied from 0.4 to 2 nm [78]. The pump channel was launched with 20-mW power in all cases. Even though probe power was constant at the input end, it exhibited large variations (see the inset obtained for 0.4-nm channel spacing) after two spans, each consisting of 92 km of standard fiber and a DCF for dispersion compensation (circles). In the absence of DCF, probe fluctuations became larger (squares). The smallest values of σXPM were observed under actual field conditions. Numerical simulations provide only a qualitative agreement with the experimental data because of the influence of PMD on the XPM phenomenon and are consistent with a theory that incudes the PMD effects [84].

09_04_01_Lightwave_Technology-2.jpg

Figure 9.14: Measured standard deviation of probe fluctuations as a function of channel spacing with (circles) and without (squares) dispersion compensation. Triangles represent the data obtained under field conditions. Inset shows a temporal trace of probe fluctuations for Δλ, = 0.4 nm. (After Ref. [78]; ©2000 IEEE.)


How much does the XPM-induced amplitude jitter affect system performance? In practice, a measure is provided either by the eye-closure penalty or by the power penalty induced by XPM effects for maintaining a specific BER. The impact of amplitude jitter can also be quantified through the degradation of the Q factor induced by the XPM. In a simple model, the Q factor, defined as Q = (I1 - I0)/)/(σ1 + σ0), is calculated by replacing σ1with [80]

09_04_01_Lightwave_Technology-3.jpg

where σXPM is the value calculated with the pump-probe method [80]. The basic assumption is that XPM-induced amplitude fluctuations enhance the noise level of 1 bits (but leave the 0 bits relatively unaffected), and this noise can be added to other noise sources, assuming that it is governed by an independent Gaussian process. Such an approach works reasonably well when the WDM signal is in the the NRZ format. In the case of RZ format, one must include the impact of XPM-induced timing jitter, a topic we turn to next.

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