Lightwave Technology

Chapter 9.5.3 - Polarization Interleaving of Channels

9.5.3 Polarization Interleaving of Channels

As discussed in Section 8.5.3, the impact of intrachannel nonlinear effects can be reduced considerably by ensuring that the neighboring bits in a channel are orthogonally polarized. The same idea can be extended to the case of interchannel nonlinearities by designing WDM systems such that the bit streams in two neighboring channels are orthogonally polarized [120]—[123]. Such a scheme is relatively easy to implement in practice. Figure 9.20 shows the experimental setup used typically for this purpose. The even and odd number channels are multiplexed together into two separate branches, whose states of polarization (SOPs) are adjusted using polarization controllers such that they are orthogonal. A polarization beam combiner or a device known as the channel polarization interleaver is then used to create a WDM signals whose neighboring channels are orthogonally polarized.

Why should polarization interleaving help in reducing the impact of interchannel nonlinear effects? The reason is that both XPM and FWM depend on the SOPs of the interacting channels. When two pulses in neighboring channels collide and interact through XPM, the phase, frequency, and temporal shifts induced by such a collision depend on the relative SOPs of the two channels. More precisely, the factor of 2 appearing in the last term in Eqs. (9.4.3) and (9.4.4) is replaced with 2/3, when the channels are orthogonally polarized [39]. As a result, interchannel collisions should produce smaller phase shifts and lead to much less amplitude and timing jitters.

Before reaching this conclusion, however, one should address the impact of polarization-mode dispersion (PMD) on channel polarizations [124]-[127]. As discussed in Section 3.4, PMD results from fluctuating residual birefringence inherent in all fibers used for designing lightwave systems. Its main effect is to change the SOP of each channel in a random fashion. If the two channels change their SOPs in a random fashion but remain nearly orthogonal, the technique of polarization interleaving can still be beneficial. In the language of Section 3.4, the Stokes vector of each channel would move in a random fashion on the Poincare sphere but the Stokes vectors associated with two neighboring channels would remain antiparallel to each other.

The important question is over what lengths neighboring channels can maintain orthogonal SOPs in spite of birefringence fluctuations. As discussed in Section 3.4, the frequency dependence of the Stokes vector is governed by Eq. (3.4.27) and depends on the PMD vector. The length over which the relative SOP of neighboring channels can change significantly is known as the diffusion length Ldiff. It depends on the PMD parameter of the fiber Dpand the channel spacing Ωch through the relation Ldiff = (DpΩch)-2. This length can vary over a wide range (<100 to >5,000 km) depending on the values of Dpand Ωch. For two channels spaced 50 GHz apart Ldiff is about 1,000 km, if we use Dp = 0.1 ps/km1/2 as a typical value for the PMD parameter. This estimate suggests that the polarization-interleaving technique is appropriate for suppressing interchannel nonlinear effects in WDM systems when fibers with relatively low values of Dpare employed and channel spacing is less than 100 GHz.

Figure 9.23 shows the results of numerical simulations for a 9,000-km dispersion-managed WDM system [122]. The 45-km-long dispersion map employs 28.5-km and 16.5-km sections with dispersions of 20 and -40 ps/(km-nm), respectively, and its residual dispersion is compensated every 500 km. Each 10-Gb/s channel carries an RZ bit stream with 33% duty cycle at an effective bit rate of 12.3 Gb/s because of FEC coding. Channel spacing is varied in the range of 25 to 50 GHz, and the PMD parameter of the fiber has a value of Dp = 0.06 ps/km1/2. The Q factors were calculated numerically for several input power levels when neighboring channels were either copolarized or orthogonally polarized. A comparison of Q factors in the two cases, plotted as a function of launched power/channel for three channel spacings in Figure 9.23, shows that the use of polarization interleaving can improve the Q factor by more than 2 dB for a 25-GHz channel spacing but this advantage almost disappears when channel spacing is 50 GHz. The experiments performed over a distance of 6,500 km with 25-GHz channel spacing showed an improvement of more than 1 dB with the use of polarization interleaving [122].

09_05_03_Lightwave_Technology-2.jpg

Figure 9.23: Q factors after 9,000 km as a function of launched power for three values of channel spacings when neighboring channels are copolarized (empty symbols) or orthogonally polarized (rilled symbols) for a PMD parameter Dp= 0.06 ps/km1/2. (After Ref. [122]; ©2002 IEEE.)


It should be stressed that the use of polarization interleaving cannot eliminate the XPM-induced timing jitter completely. As an example, Figure 9.24 shows the frequency and temporal shifts calculated numerically for the middle channel, surrounded by four channels on each side, when channel spacing is 75 GHz [93]. Curve 1 shows that each pulse shifts by 100 ps (one bit slot) over 10,000 km because of XPM-induced frequency shift. The use of polarization interleaving (curve 2) improves the situation, but does not solve the problem. However, if sliding-frequency filters are employed, the temporal shift is reduced to below 15 ps for copolarized (curve 3) and to below 10 ps for orthogonally polarized channels (curve 4). In these numerical simulations, the map period and amplifier spacing were equal to 40 km. The dispersion map consisted of 36 km of anomalous-GVD fiber and 4 km of DCF such that the average value of dispersion was 0.1 ps/(km-nm), and the WDM system operated in the soliton regime.

09_05_03_Lightwave_Technology-3.jpg

Figure 9.24: Collision-induced frequency and temporal shifts for a pulse in a channel surrounded by four channels with 75-GHz spacing on each side. Curves 1 and 2 represent the cases of copolarized and orthogonally polarized channels, respectively. Curves 3 and 4 show the improvement realized with sliding-frequency filters. The dashed line shows the prediction of an analytical model. (After Ref. [93]); ©1999 OSA.)

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