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Applied SciencesApplied Sciences
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19 September 2023

Compensation of the Distorted WDM Signals by Symmetric Dispersion Map with Nonuniform Zero-Crossing Place of Accumulated Dispersion in Midway-OPC System

and
1
Department of Electronic Engineering, Gachon University, Seongnam 13120, Republic of Korea
2
Division of Navigational Information System, Mokpo National Maritime University, Mokpo 58628, Republic of Korea
*
Author to whom correspondence should be addressed.

Abstract

The nonlinear Kerr effect and chromatic dispersion are the fundamental causes of optical signal degradation in single-mode fiber (SMF) and erbium-doped fiber-amplification (EDFA)-based wavelength division multiplexing (WDM) transmission. Dispersion management combined with a midway optical phase conjugator among the technologies for compensating for such optical signal distortion is known to not be limited by the modulation format and multiplexing technology. Optimization of the dispersion map can partially alleviate the capacity and maximum transmission distance limitations of the SMF and EDFA system. In this paper, we propose various types of symmetric dispersion maps in which the position of zero-crossing place of the cumulative dispersion is not constant, and analyze the effect of each dispersion map configuration on 40 Gb/s × 24-channel WDM signal distortion compensation. When designed with the residual dispersion per span (RDPS) around 400 ps/nm, it is confirmed that most of the proposed dispersion maps are more effective in compensating the distorted WDM signal than conventional dispersion map. In particular, we confirm that, among the proposed dispersion maps, the dispersion map in which the RDPS is designed uniformly for all fiber spans can increase the power margin of WDM channel and expand the range of the total residual dispersion in the dispersion-managed link.

1. Introduction

With the help of multiplexing technologies such as wavelength division multiplexing (WDM), polarization division multiplexing (PDM), space division multiplexing (SDM), orbital angular momentum multiplexing (OAMM), most Internet traffic is handled through an optical network [1]. In order to increase the multiplexing efficiency of high data rate optical channels in a long-haul optical network, a transmission medium that minimizes temporal broadening of optical signals during transmission must be used.
Dispersion that affects the temporal broadening of optical pulses is largely divided into inter-modal dispersion and intra-modal dispersion. When there are several modes propagating in an optical fiber core, the spread of pulses caused by the time difference between each arriving at the receiving end is called inter-mode dispersion. Thus, in order to suppress this, a single-mode fiber (SMF) is mainly used as a transmission medium of long-haul optical networks. However, even an optical network comprising a transmission link using only SMF cannot avoid the temporal spread due to intra-mode dispersion, also called chromatic dispersion. Moreover, since different wavelengths are used for each channel in the WDM system, signal distortion due to chromatic dispersion inevitably increases as the number of transmission channels within the same SMF increases [2]. Therefore, in order to implement an SMF-based WDM transmission network, a technique for minimizing signal distortion due to chromatic dispersion must be applied.
The application of an erbium-doped fiber amplifier (EDFA) in optical transmission links has also made a great contribution to the long distance of super-multiplexed optical signals. That is, the EDFA dramatically increased the transmission distance without requiring a repeater, and eventually made it possible to use the SMF-based WDM network more simply, compactly, and economically [2]. Unfortunately, the EDFAs in an optical link amplify the intensity of the transmitted optical signal, and consequently induce the intensity-dependent nonlinear impairment of optical signals [3]. In an optically amplified and SMF-based transmission system, optical signal distortion due to nonlinear effects and chromatic dispersion effects may increase as the transmission distance increases, since the accumulated impacts of nonlinear effect interplaying with chromatic dispersion of SMF are not reset at the repeaters [2].
Optical phase conjugation (OPC), proposed by Yariv et al., was initially widely known as a method for compensating for chromatic dispersion [4]. It uses the principle of compensating for the signal distortion by inverting the spectrum of the transmission signal in the middle of the transmission link. That is, the signal distortion experienced in the front part of the link before the optical phase conjugator (OPC) is offset with damage caused in the rear part after the OPC, so that the original signal can be closely restored. It has been experimentally shown that OPC can compensate not only chromatic dispersion but also distortions caused by self-phase modulation (SPM), intra-channel nonlinear effect and nonlinear phase noise [5,6,7,8,9].
Dispersion management (DM) is method of mitigating signal distortion due to chromatic dispersion using only optical fibers [10]. When SMF is adopted as an optical transmission medium, since its dispersion coefficient is positive (typically +17 ps/nm/km), the optical pulse width increases as the transmission distance increases, ultimately resulting in inter-symbol interference (ISI). In order to eliminate or reduce the ISI, dispersion compensation fibers (DCFs) having the negative dispersion coefficient must be added at regular intervals or concentrated at a specific location in the transmission link so that the total cumulative dispersion is close to 0 ps/nm. In the DM link, the cumulative dispersion profile according to the entire transmission distance can be designed considering the positions, dispersion coefficient, and length of the SMF and DCF. This profile is called the dispersion map [11]. It has been reported that nonlinear impact in EDFA-based can be well suppressed through the dispersion map optimization [3].
Through previous studies, the authors also confirmed that the dispersion map optimization has significant effect on signal distortion compensation in SMF-based WDM systems [12,13]. Furthermore, even in the system where the OPC is not located in the middle of the entire transmission line (i.e., non-midway OPC system), we have confirmed that the improved compensation for the entire WDM signal can be obtained by applying a properly designed dispersion map considering the WDM channel data-rate, modulation format, and OPC location [13].
In this study, in the SMF-based WDM system with midway-OPC, the distortion compensation effect of the WDM signal is numerically analyzed through the application of the new-conceptual dispersion map, which the authors know has not been tried before. Unlike previously proposed methods, the dispersion maps evaluated in this study have the non-uniform structure where the zero-crossing place of cumulative dispersion is not constant. More specifically, we aim to examine the effect of various dispersion maps designed so that the cumulative dispersion is zero-crossing only at the 2nd, 4th, 8th, and 16th fiber span in each half transmission link (i.e., transmission link before or after midway-OPC) consisting of 30 fiber spans, on the distortion compensation of WDM channels.

3. Simulation Method and Numerical Assessment

The characteristics of optical signal propagating in a medium dominated by loss, dispersion and nonlinearity can be expressed by the nonlinear Schrödinger equation (NLSE). Expressing NLSE as a slowly varying envelope approximation is as follows:
A j z = α 2 A j i 2 β 2 j 2 A j T 2 + 1 6 β 3 j 3 A j T 3 + i γ j A j 2 A j + 2 i γ j A k 2 A j ,
where j, k = 1, 2, …, 24 (jk), Aj represents the complex amplitude of the signal of the j-th channel, z is the propagation distance, β2j is the GVD, β3j is third-order dispersion, γj is the nonlinear coefficient, and T = tz/vj is the time measured in a retarded frame.
The last two terms in (2) represent Kerr nonlinear effects, which are corresponding to self-phase modulation (SPM) and cross-phase modulation (XPM), respectively. It has been reported that the effect of XPM on WDM signals decreases as the dispersion of optical fiber increases [14]. The WDM signal may be affected by XPM due to the relatively high power of WDM signals, but since SMF with large dispersion coefficient was used as the basic fiber constituting the optical link, we excluded the effect of XPM based on the inference that the effect of XPM would be lower than that of SPM.
The numerical approach of (2) is completed by using the split-step Fourier method [15]. The split-step Fourier method divides the transmission medium dominated by NLSE into small steps, and processes linear calculations in the frequency domain and nonlinear calculations in the time domain separately and continuously through Fourier transform and inverse Fourier transform for each step [15].
First, each WDM channel with different PRBS in the 24 transmitters in Figure 1 is generated at 0.8 nm wavelength intervals and multiplexed. The behavior of multiplexed signals transmitted over the dispersion-managed link in Figure 1 is interpreted by the NLSE of Equation (2). To analyze this, we modeled the link in Figure 1 by applying the split-step Fourier method at 0.1 km intervals. The software tool we used for simulation is MATLAB.
For the noise in the transmission link in Figure 1, only the amplified spontaneous emission (ASE) generated by the EDFA was considered. The operating wavelength range of EDFA is from 1525 nm to 1570 nm, and the noise figure is assumed to be 5.5 dB based on 0 dBm of input power.
The performance evaluation of the optical fiber system is generally based on the eye diagram of the received signals. The eye-opening penalty (EOP) and bit error rate (BER) are consequently measured through the eye diagram. The BER is mainly used for signal sensitivity analysis in fiber optic communication systems, whereas EOP is considered to be more effective for performance analysis of high-power signals. Since the optical signals have the launch powers above −10 dBm, we use the EOP to assess the compensated optical signals in this work.
An easy way to characterize the quality of digital signals degraded by deterministic distortions is the determination of the EOP. When sampling a binary signal per bit period at a specified sample time, the eye-opening (EO) is defined as the difference between the minimum value of the “1” pulse and the maximum value of the “0” pulse. We define EO by considering the average value of the received signal as follows: 2Pav/(P1,minP0,max), where Pav is the averaged power of the optical signals, and P1,min and P0,max are the minimum power of the ‘1’ pulse and the maximum power of the ‘0’ pulse, respectively. Therefore, EOP is defined as the following Equation (3) in terms of decibels.
E O P   d B = 10 l o g 10 E O r e c E O b t b ,
where EOrec and EObtb are the eye-openings of the receiving optical pulse and the input optical pulse, respectively.
Since the decision threshold is set in the center of the open portion of the eye, any reduction in eye-opening indicates an increase in BER. That is, the EOP is related with the BER. We take 1 dB as the performance criterion for the EOP of the worst channel, which corresponds to BER of 10−12 [16].
As mentioned earlier, in the pseudo-linear system with dispersion management, the best compensation is obtained when the TRD is set near but not 0 ps/nm. We have confirmed that the optimal TRD is 10 ps/nm or −10 ps/nm through the previous studies. This result is closely related to the use of the DCF with dispersion coefficient of −100 ps/nm/km for dispersion compensation. It is also related to adjusting the length of the DCF by 1 km intervals for pre-DC and post-DC in Figure 1. That is, TRD is changed at intervals of −10 ps/nm and 10 ps/nm, when the DCF with a dispersion coefficient of −100 ps/nm/km is increased and decreased at intervals of 1 km, among these TRDs, the smallest value, ±10 ps/nm, which consequently comes closest to 0 ps/nm, was determined to be the optimal value. And, we have also confirmed these optimal TRDs in previous studies.
Since the TRD determination method in this paper is the same as in previous studies, the simulation is performed under the condition that the dispersion-managed link shown in Figure 1 is always set to a TRD of 10 ps/nm.

4. Simulation Results and Discussion

Figure 3 shows the eye diagrams of the channel with the worst compensation characteristics when 24 WDM channels are transmitted through each dispersion-managed link to which the dispersion map of Figure 2 is applied. The eye diagrams in Figure 3 are obtained when the launch power of the WDM channel is 5 dBm and the rRD of each fiber span is set to 240 ps/nm. Figure 3a is an eye diagram obtained in the case of applying the conventional dispersion map into a dispersion-managed link for comparing the compensation effect through the proposed dispersion maps of Figure 2. The conventional dispersion map does not intentionally change the cumulative dispersion profile over the transmission distance, but the cumulative dispersion profile is constant in all fiber spans, unlike the dispersion maps in Figure 2. That is, the eye diagram in Figure 3a is obtained from a dispersion-managed link where the rRD of each fiber span is uniformly applied at 240 ps/nm.
Figure 3. The eye diagrams.
By comparing the rest of the eye diagrams with Figure 3a, it can be confirmed that the reception quality is better than the conventional dispersion map through compensation of distortion due to chromatic dispersion and SPM when the proposed dispersion map is applied. In a pseudo-linear system where chromatic dispersion and SPM exists, optical pulse distortion occurs through the interaction of the two phenomena. That is, when the amplitude (intensity) of the optical pulse is changed due to chromatic dispersion, the nonlinear phase shift is generated according to the changed intensity, resulting in distortion of the optical pulse.
Applying this mechanism to the eye diagram analysis shown in Figure 3, the eye diagram of Figure 3a shows that the conventional dispersion map does not sufficiently compensate for the amplitude and phase distortion caused by the interaction between the chromatic dispersion and SPM experienced by the optical pulse. On the other hand, although there are differences in degree, it can be confirmed that the proposed dispersion maps combined with midway-OPC help reduce the amplitude and phase fluctuation of the optical signal.
It is confirmed that, under the same conditions, the application of the proposed dispersion map to the dispersion-managed link is more effective in compensating the distorted WDM channel than the case where the conventional dispersion map is applied. What is noticeable from Figure 3 is that the degree of compensation for the distorted WDM channel varies depending on the applied dispersion map into dispersion-managed link, that is, on the specific configuration of the dispersion map. Therefore, from now on, for each dispersion map, it is necessary to evaluate the compensation characteristics depending on the changes of the launch power of the WDM channel, rRD required to form the dispersion map, and TRD of the overall link.
Figure 4 shows the rRD of the fiber span against the WDM channel launch power that can achieve 1 dB EOP for the worst channel, when WDM channels are transmitted through a dispersion-managed link configured with conventional dispersion map and with ‘linear-GD: AD’ of Figure 2f. It should be noted from Figure 4 that there is a lower limit on the launch power of the WDM channel that can achieve 1 dB EOP. It is judged that this is because when the launch power of the WDM channel is very small, the loss of the optical fiber can greatly affect the channel signals, and as a result, the compensation effect by the midway-OPC is reduced. What can be utilized from the results of Figure 4 is that the allowable range of the channel’s launch power for each rRD must be limited to achieve an EOP of 1 dB or less through the dispersion-managed link configured with the dispersion map of Figure 2. We define this range as the power margin notated in Figure 4. That is, the power margin is the difference between the maximum and the minimum value of the launch power of the WDM channel that can obtain 1-dB EOP.
Figure 4. The launch power versus reference residual dispersion that can achieve 1 dB EOP.
Optimization of the dispersion map is important not only in the distribution of cumulative dispersion in the entire link, but also in the magnitude of the residual dispersion per span. Figure 5 makes it possible to evaluate the effect of the magnitude of rRD on compensation in the proposed dispersion map in terms of power margin. Figure 5 shows the difference in power margin of the worst channel as a function of the rRD in the dispersion-managed link to each of the 16 different dispersion maps. The power margin difference is the arithmetic subtraction of the power margin obtained when the conventional dispersion map is applied from the power margin obtained when each dispersion map is applied into a dispersion-managed link. In other words, Figure 5 shows how much the power margin in the proposed dispersion maps is improved compared to the conventional dispersion map. As each value shown in Figure 5 increases, the compensation effect can be considered to have increased further. A feature common to Figure 5a,b is that the compensation effect is better improved when the rRD of each fiber span selected for each dispersion map in Figure 2 is moderately small (i.e., around 400 ps/nm). And from the rRD point of view, the dispersion maps that can achieve the improved compensation effect for all considered rRDs over the conventional configuration, albeit to varying degrees, are the fixed configurations of Figure 2a,b.
Figure 5. The difference power margin versus reference residual dispersion for the worst channel.
Although the compensation characteristics for each dispersion map are examined when the TRD of the dispersion-managed link is basically set to 10 ps/nm, the EOP of 1-dB or less can be also obtained at other TRDs. Figure 6 shows the range of TRDs that result in 1-dB EOP at each launch power of the worst channel, which is the example of the above-mentioned feature. In Figure 6, the effective TRD means the upper and lower limits of the TRD that can obtain 1-dB EOP for each launch power. Although the characteristics of launch power versus effective TRD obtained from the conventional dispersion map and the dispersion map of the linear-DG:AD are generally similar, there is a distinguishable difference when the launch power is large.
Figure 6. The effective launch power versus the effective TRD ranges.
However, it is rather cumbersome to analyze the launch power versus effective TRD characteristics for the 16 dispersion maps in Figure 2 as shown in Figure 6. Looking at Figure 6, it can be known that the effective TRD for the launch power ultimately takes the form of a closed curve. Therefore, one way to numerically analyze the launch power versus effective TRD characteristics of each dispersion map is to evaluate and compare the area of the corresponding closed curve. The area of the closed curve is equivalent to the product of the available launch power and the effective TRD that can yield 1 dB EOP. We will simply call the product of available launch power and effective TRD to ‘the product’. As a matter of course, the larger the product, the larger the TRD coverage of the dispersion-managed link, or the larger the launch power of the WDM channel, depending on the link design requirements.
Figure 7 shows the product of the worst channel as a function of rRD when each dispersion map in Figure 2 is applied to the dispersion-managed link. Figure 7 illustrates the largest and smallest products for each rRD, and shows the corresponding dispersion map resulting in those values. For comparison, the product in the conventional dispersion map is also shown in Figure 7. It can be confirmed that the fixed-DG: DA configuration is most advantageous when WDM channel distortion is compensated for by selecting a relatively small rRD of 400 ps/nm or less. In addition, it can also be known that the fixed-DG: AD or linear-DG: AD configurations are preferable when rRD is selected to be 480 ps/nm or more. It can be determined with certainty that the best product is obtained when the fixed-DG: DA configuration with rRD selected as 400 ps/nm is applied to the dispersion-managed link.
Figure 7. The product of available launch power and effective TRD for each rRD.
Through analyzing the results of Figure 7, it can be judged that the linear-DG: AD is the excellent dispersion map at rRD = 1280 ps/nm, but it cannot be recognized as the effective dispersion map that satisfies the purpose of this paper, since there is no significant difference from the product in the conventional dispersion map designed with the same rRD. Analyzing from the viewpoint of improving the product characteristics compared to the conventional dispersion map, it can be confirmed that the degree of improvement increases as the rRD applied to the dispersion map increases to 400 ps/nm, but decreases when the rRD exceeds 400 ps/nm. An interesting result from Figure 7 is that the dispersion map configuration that can lead to the good product is different for each rRD, but the dispersion map results in the minimum product for all rRDs is only flatted-DG: DA of Figure 2g. This result suggests that the maximum cumulative dispersion of the link must be variable, not constant, regardless of the detailed scheme of the dispersion map, in order to effectively compensate for the distorted WDM channels.

6. Conclusions

We analyzed the performance of a dispersion maps with non-constant zero-crossing places and symmetric configuration with respect to midway-OPC applying into the dispersion-managed link with midway-OPC for 24 WDM channels carrying 40 Gb/s RZ data. The performances of 16 different dispersion maps were compared, varying both the launch power of WDM channel, the residual dispersion per each fiber span and the TRD of whole links. Also, the performances of the proposed 16 different dispersion maps were compared with that of the conventionally configured dispersion map.
The best performance was achieved by using the dispersion maps of the fixed configuration with a residual dispersion of 400 ps/nm, and these dispersion maps were attributed to increase the power margin and the effective TRD of the whole link, regardless of the specific location of the zero-crossing of the cumulative dispersion and the shape of the dispersion distribution of the FSG. In addition, it was also confirmed that the rest dispersion maps can improve the power margin and effective TRD compared to the conventional dispersion map, if the residual dispersion per fiber span is optimally selected near 400–480 ps/nm.
The important point obtained in this paper is that in the case of nonlinear distortion compensation through OPC, as the optical transmission system and optical link become more complex, the shape of the dispersion map must be symmetric with respect to the OPC, and there must be a lot of variation in the local dispersion profile depending on the optical transmission channel and link conditions. Although the dispersion maps proposed in this paper are complex and the analysis process was not easy, we hope that our research will help design high-capacity long-haul optical transmission links.

Author Contributions

Conceptualization, J.-P.C. and S.-R.L.; methodology, S.-R.L.; software, S.-R.L.; analysis, J.-P.C. and S.-R.L.; resources, S.-R.L.; data curation, S.-R.L.; writing—original draft preparation, J.-P.C. and S.-R.L.; writing—review and editing, J.-P.C. and S.-R.L.; visualization, S.-R.L.; super-vision, J.-P.C. and S.-R.L.; project administration, S.-R.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to Institutional regulations.

Conflicts of Interest

The authors declare no conflict of interest regarding the publication of this paper.

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