Telecominfraproject / oopt-gnpy

Optical Route Planning Library, Based on a Gaussian Noise Model
http://telecominfraproject.com
BSD 3-Clause "New" or "Revised" License
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Wavelength dependant loss in fibers #318

Open Fredrik-Smartoptics opened 4 years ago

Fredrik-Smartoptics commented 4 years ago

In all fibertypes there is a wavelength dependant loss (WDL). In the C-band higher frequencies are attenuated more than lower frequencies. This WDL amounts to about 0,8 dB/100 km difference over the entire C-band, hence I would not consider it negligable especially considering simulations with many spans. Fiber WDL is very easily verified by just measuring loss through a fiber at a low frequency (like 191.30 THz) and one at a high frequency (like 196.40 THz). This difference in loss has an impact on OSNR and also non-linear effects, since some channels are attenuated quicker than others.

Looking through GNPy I cannot see that this WDL is taken into account. The loss seem to be uniform for all channels. I believe the results of GNPy can be further improved if the fiber WDL is taken into account.

jktjkt commented 4 years ago

Thanks for reporting this, Fredrik. We took a short break this week after the TIP Summit, so I have not got a chance to talk to our optical scientists whether the GN model accounts for WDL or not. I agree with you that this does not appear to be taken into account based on the current version of the code.

jktjkt commented 4 years ago

It turns out that the WDL is being taken into account when using the Raman-aware propagation model (i.e., the --sim-params option). The price for this feature is quite a noticeable slowdown due to the increased complexity of the calculations.

We discussed whether it makes sense to take into account the WDL on its own without considering SRS and the energy transfer from higher-frequency λ to the longer wavelengths. I'm afraid that the answer is unclear at this point. So, we could add WDL-awareness into the non-Raman propagation model, but we don't know whether doing that would improve actual real-world accuracy. I think we will have to revisit this next week -- please stay tuned. If you happen to have a reference to a published paper (or anything, really) which compares contributions of SRS and WDL under varying conditions, I'm sure that our colleagues from Polito would love to hear about that.

Cc: @aleFerrari

jktjkt commented 4 years ago

A small update -- we've confirmed that we're going to look into WDL even without SRS being active. Thanks for suggesting this once again.

caffery-chen commented 3 years ago

Dear jktjkt,

not sure if the WDL here you mentioned is the concept as same as the linear regime WDL mentioned in the paper "Experimental Investigation of Stimulated Raman Scattering Limitation on WDM Transmission Over Various Types of Fiber Infrastructures" by Sebastien Bigo.

It turns out that the tilt needs to consider both linear tilt and also the SRS tilt altogether.

Please let me know your thoughts.

Thanks.

jktjkt commented 3 years ago

@caffery-chen , I cannot answer this one, but hopefully @AndreaDAmico or someone else from the POLITO team can.

AndreaDAmico commented 3 years ago

@caffery-chen , after a quick look at the mentioned paper, my understanding is that the WDL concepts are the same. The peculiarity of the linear regime (low power) is that there is not any significant SRS effect, as the latter is proportional to the power. In the current version, both the SRS and the WDL are properly considered only in the RamanFiber. As for the SRS, also the WDL is addressed within the standard Fiber in my recent work. In general, the WDL profile is considered flat if a specific profile is not provided. Up to now we have not found a better default choice as the WDL profile can largely vary depending on the specific fiber under consideration.

caffery-chen commented 3 years ago

Dear @AndreaDAmico,

Is this WDL in linear regime due to the wavelength dependent fiber attenuation within C Band? If so, I was surprised that this dependency is often ignored because it is proportional to transmission length and will ramp up significantly.

Thanks.

Fredrik-Smartoptics commented 3 years ago

@caffery-chen @jktjkt @AndreaDAmico

I agree with caffery-chen. Fiber WDL is often overlooked (=assumed 0) and is one of the most limiting factors in long haul transmission with ILAs (in line amplifiers). Of course if WSS are used like in ROADM sites the compensation can be done perfectly. But using just EDFA amplifier tilt to compensate is far from perfect. The amplifiers tilt will have flaws that are not random, specifically channels around 194 THz often suffers from low gain in comparison to the others. With many ILA spans the penalty for these channels gets pronounced. My experience is that WDL of fibers is very predictable and does not vary much between suppliers or even fibertypes. I cannot say that I have done a scientific analysis but all the fibers I measured in my career have had tilt of about 0,008 dB/km over the C-band. Also during fault analysis in customers network over many spans the measured OSNR profile over channels can be matched to a very high degree by using the fixed fiber WDL in the calculation. Using 0 as fiber WDL gives very different results that does not match. I admit I have not measured or analyzed many non-G652 fibers. When speaking to component experts what I have been told is that the reason for the fiber tilt lies in the properties of Silica. That they say is the reason why it is similar in all fibers.

Fredrik-Smartoptics commented 3 years ago

I also want to add that as discussed above there are two components of this. The linear WDL attenuation and the consequence of different attenuation between channels for non-linear effects. Maybe GNPy can consider only the linear WDL and direct OSNR effect as a start? To simplify the calculations.

AndreaDAmico commented 3 years ago

@caffery-chen,@Fredrik-Smartoptics

Is this WDL in linear regime due to the wavelength dependent fiber attenuation within C Band? If so, I was surprised that this dependency is often ignored because it is proportional to transmission length and will ramp up significantly.

Even if GNPy provide the evaluation of the GSNR for each channel in a WDM comb (C-Band with the possibility to extend it to other bands), the simulation engine was focused on the central channel, which is usually the worst case scenario, for planning purposes. In this perspective, if the user provides the WDL value evaluated at the central frequency, GNPy provides a very accurate estimation of the power evolution of the central channel, as the SRS effect over the central channel is negligible. Of course the same cannot be said for side channels, but form the central channel point of view, this would affect only the nonlinear interference (NLI) noise. This inaccuracy is not significant in the final evaluation of the GSNR, as the impairment due to the NLI is not the main contribution to the total signal degradation, being half of the ASE noise in optimal condition.

I also want to add that as discussed above there are two components of this. The linear WDL attenuation and the consequence of different attenuation between channels for non-linear effects. Maybe GNPy can consider only the linear WDL and direct OSNR effect as a start? To simplify the calculations.

Recently, we are integrating more accurate implementations in order to obtain a more precise evaluation for all the channel within the WDM comb without a significant increasing of the computational time. These implementation include the SRS and the WDL.

I agree with caffery-chen. Fiber WDL is often overlooked (=assumed 0) and is one of the most limiting factors in long haul transmission with ILAs (in line amplifiers). Of course if WSS are used like in ROADM sites the compensation can be done perfectly. But using just EDFA amplifier tilt to compensate is far from perfect. The amplifiers tilt will have flaws that are not random, specifically channels around 194 THz often suffers from low gain in comparison to the others. With many ILA spans the penalty for these channels gets pronounced. My experience is that WDL of fibers is very predictable and does not vary much between suppliers or even fiber types. I cannot say that I have done a scientific analysis but all the fibers I measured in my career have had tilt of about 0,008 dB/km over the C-band. Also during fault analysis in customers network over many spans the measured OSNR profile over channels can be matched to a very high degree by using the fixed fiber WDL in the calculation. Using 0 as fiber WDL gives very different results that does not match. I admit I have not measured or analyzed many non-G652 fibers. When speaking to component experts what I have been told is that the reason for the fiber tilt lies in the properties of Silica. That they say is the reason why it is similar in all fibers.

In A. D’Amico et al., "Enhancing Lightpath QoT Computation With Machine Learning in Partially Disaggregated Optical Networks," in IEEE Open Journal of the Communications Society, vol. 2, pp. 564-574, 2021, doi: 10.1109/OJCOMS.2021.3066913, we show some examples of measured WDL for different fibers. In this case, significant variations of the WDL are present. In Walker, S. “Rapid modeling and estimation of total spectral loss in optical fibers” JLT 4.8 (1986): 1125-1131, the author extensively describes this fiber characteristic.

Fredrik-Smartoptics commented 3 years ago

@AndreaDAmico, thanks I will check out the publication.

caffery-chen commented 3 years ago

@AndreaDAmico @Fredrik-Smartoptics Thank you for the discussion, the experience you shared is very valuable. I will compare the modeling and real measurements in the near future and come back to this thread.

Fredrik-Smartoptics commented 3 years ago

Dear @AndreaDAmico

I find your article very interesting and well written. Regarding fiber WDL I cannot seem to find measurement results although I might very well have missed it. The level of detail is high which is a good thing of course. I do find average alfa in table 1. Could you help me out?

AndreaDAmico commented 3 years ago

@Fredrik-Smartoptics You are right, there is only the average alpha reported in Table 1, not the measured WDL profile. In any case, in Chapter V, there is the description of the model that can be used to characterise the WDL for the specific fiber. What we obtain is a varying tilt, depending on the considered fiber. We published the measured WDL in an accepted OFC paper but I think this is not accessible yet, and I am not sure how to share them.

Fredrik-Smartoptics commented 3 years ago

@AndreaDAmico Thanks for the update. Do you know when it will be accessible/possible to share. If not too long I can wait for that.

AndreaDAmico commented 3 years ago

@Fredrik-Smartoptics The OFC conference will take place on June, so I think the article would be accessible after that. In any case, I can reveal in advance that, looking into our measurements over 8 distinct fibers, we obtain a WDL tilt that ranges between 0.003 and 0.009 dB/km (calculated as the difference of the fiber loss coefficient evaluated at 191.2 and 196.2 THz).

Fredrik-Smartoptics commented 3 years ago

@AndreaDAmico Great thanks. I noticed in your publication you had 7 G655 fibers (low dispersion numbers) and 1 G652 (D=16.7). Was there any difference between the fibertypes? Could you also share how you measured the WDL?

AndreaDAmico commented 3 years ago

@Fredrik-Smartoptics The fiber types were unknown when we performed the experiment. The dispersion of the fibers was deduced from the Raman coefficient that we estimate, using a look up table that connects dispersion, effective area and Raman coefficient for various fiber types. Therefore, this information is not completely reliable and we anticipate that the optical line system under investigation consisted of a greater number of standard single mode fibers (D=16.7). We propagated an ASE noise load in each fiber, measuring the power profile at the input and at the output of the fiber span. We performed these measurements within low power regime, in order to avoid any significant Raman effect.