“…For more information, see https://creativecommons.org/licenses/by/4.0/ employed in current commercial optical systems, a central and open question in the optical communication community is: how to efficiently distribute monitors across complex networks in a cost-effective way in order to capture wavelength-resolved, spatially-distributed information [13]? Recently, several monitoring features have been obtained by solely exploiting receiver (Rx) digital signal processing (DSP) modules [14]- [18], thus minimizing the requirements of distributed node-level measurement devices. The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, several monitoring features have been obtained by solely exploiting receiver (Rx) digital signal processing (DSP) modules [14]- [18], thus minimizing the requirements of distributed node-level measurement devices. The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18]. One successful example of such application was introduced in [14], where the authors proposed an in-situ power profile estimator (PPE) that reconstructs the channel power evolution along the link with sub-km resolutions [15].…”
Section: Introductionmentioning
confidence: 99%
“…The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18]. One successful example of such application was introduced in [14], where the authors proposed an in-situ power profile estimator (PPE) that reconstructs the channel power evolution along the link with sub-km resolutions [15]. An insightful application that we foresee from this technique is that by overlaying the in-situ PPE from multiple WDM channels it is possible to create a distancewise, wavelength-dependent link tomography [13].…”
Section: Introductionmentioning
confidence: 99%
“…In this contribution, we experimentally investigate the application of a Rx-DSP approach (hereafter named link tomography) to extract the spectral gain profile of C+L-band Erbium-doped fiber amplifiers (EDFA)s and detect soft-failures, such as gain tilt and narrowband gain compression. The construction of the link tomography is based on the utilization of the in-situ PPE [14], [15], which is per se a suitable approach for any optical band (including the traditional C-band), but has been specifically used in this work for C+L-band systems. This is demonstrated by running a single-channel experimental campaign in a C+L-band setup over 280 km of single mode fiber (SMF).…”
A successful migration from current C-band based optical networks to a multiband scenario primarily depends on the development of solutions that can reliably measure physical properties of optical links over broad spectral transmission windows. Additionally, these solutions must be capable of delivering wavelength-dependent and spatially-resolved indicators that can empower network operators to identify faults before they lead to severe service disruptions. Recently, the exploitation of receiver based digital signal processing as a tool for optical performance monitoring has gained tremendous popularity. One successful example is the so-called in-situ power profile estimator, which can reconstruct the per-channel longitudinal power profile along the optical fiber link solely processing the received signal samples. In this work, we propose a novel application for the in-situ power profile estimator by harnessing it on multiple wavelengths to accurately estimate the spectral gain profile of C+L-band in-line Erbium-doped fiber amplifiers deployed in a 280-km single mode fiber link. Furthermore, we show how this scheme can be efficiently used to detect amplification-related anomalies, such as gain tilt and narrowband gain compression. In our measurements, we achieved a sub-dB estimation accuracy by comparing the proposed gain extraction approach with the back-to-back characterization obtained from an optical spectrum analyzer.
“…For more information, see https://creativecommons.org/licenses/by/4.0/ employed in current commercial optical systems, a central and open question in the optical communication community is: how to efficiently distribute monitors across complex networks in a cost-effective way in order to capture wavelength-resolved, spatially-distributed information [13]? Recently, several monitoring features have been obtained by solely exploiting receiver (Rx) digital signal processing (DSP) modules [14]- [18], thus minimizing the requirements of distributed node-level measurement devices. The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, several monitoring features have been obtained by solely exploiting receiver (Rx) digital signal processing (DSP) modules [14]- [18], thus minimizing the requirements of distributed node-level measurement devices. The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18]. One successful example of such application was introduced in [14], where the authors proposed an in-situ power profile estimator (PPE) that reconstructs the channel power evolution along the link with sub-km resolutions [15].…”
Section: Introductionmentioning
confidence: 99%
“…The popularity of these Rx-based OPM approaches is due in part to their capability of unveiling multi-span link properties, such as longitudinal power profile [14], [15], frequency response of bandpass filters [16], span-wise chromatic dispersion mapping [17] and Raman gain [18]. One successful example of such application was introduced in [14], where the authors proposed an in-situ power profile estimator (PPE) that reconstructs the channel power evolution along the link with sub-km resolutions [15]. An insightful application that we foresee from this technique is that by overlaying the in-situ PPE from multiple WDM channels it is possible to create a distancewise, wavelength-dependent link tomography [13].…”
Section: Introductionmentioning
confidence: 99%
“…In this contribution, we experimentally investigate the application of a Rx-DSP approach (hereafter named link tomography) to extract the spectral gain profile of C+L-band Erbium-doped fiber amplifiers (EDFA)s and detect soft-failures, such as gain tilt and narrowband gain compression. The construction of the link tomography is based on the utilization of the in-situ PPE [14], [15], which is per se a suitable approach for any optical band (including the traditional C-band), but has been specifically used in this work for C+L-band systems. This is demonstrated by running a single-channel experimental campaign in a C+L-band setup over 280 km of single mode fiber (SMF).…”
A successful migration from current C-band based optical networks to a multiband scenario primarily depends on the development of solutions that can reliably measure physical properties of optical links over broad spectral transmission windows. Additionally, these solutions must be capable of delivering wavelength-dependent and spatially-resolved indicators that can empower network operators to identify faults before they lead to severe service disruptions. Recently, the exploitation of receiver based digital signal processing as a tool for optical performance monitoring has gained tremendous popularity. One successful example is the so-called in-situ power profile estimator, which can reconstruct the per-channel longitudinal power profile along the optical fiber link solely processing the received signal samples. In this work, we propose a novel application for the in-situ power profile estimator by harnessing it on multiple wavelengths to accurately estimate the spectral gain profile of C+L-band in-line Erbium-doped fiber amplifiers deployed in a 280-km single mode fiber link. Furthermore, we show how this scheme can be efficiently used to detect amplification-related anomalies, such as gain tilt and narrowband gain compression. In our measurements, we achieved a sub-dB estimation accuracy by comparing the proposed gain extraction approach with the back-to-back characterization obtained from an optical spectrum analyzer.
“…Another important topic is to distinguish the noise from amplified spontaneous emission (ASE) and nonlinear noise, such as broadband four-wave mixing under nonlinear fiber-optic transmission [12], which has been studied extensively [13], [14]. Very recently, data-analysis-based power profile estimation over multiple spans was demonstrated [15].…”
Performance monitoring is an essential function for margin measurements in live systems. Historically, system budgets have been described by the Q-factor converted from the bit error rate (BER) under binary modulation and direct detection. The introduction of hard forward error correction (FEC) did not change this. In recent years, technologies have changed significantly to comprise coherent detection, multilevel modulation and soft FEC. In such advanced systems, different metrics such as (nomalized) generalized mutual information (GMI/NGMI) and asymmetric information (ASI) are regarded as being more reliable. On the other hand, Q budgets are still useful because pre-FEC BER monitoring is established in industry for live system monitoring.The pre-FEC BER is easily estimated from available information of the number of flipped bits in the FEC decoding, which does not require knowledge of the transmitted bits that are unknown in live systems. Therefore, the use of metrics like GMI/NGMI/ASI for performance monitoring has not been possible in live systems. However, in this work we propose a blind soft-performance estimation method. Based on a histogram of log-likelihood-values without the knowledge of the transmitted bits, we show how the ASI can be estimated.We examine the proposed method experimentally for 16-and 64-ary quadrature amplitude modulation (QAM) and probabilistically shaped 16-, 64-, and 256-QAM in recirculating loop experiments. We see a relative error of 2.4%, which corresponds to around 0.5 dB signal-to-noise ratio difference for binary modulation, in the regime where the ASI is larger than the assumed FEC threshold. For this proposed method, the digital signal processing circuitry requires only the minimal additional function of storing the L-value histograms before the soft FEC decoder.
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