CN119232253A

CN119232253A - Optical signal-to-noise ratio (OSNR) monitoring method, system and storage medium

Info

Publication number: CN119232253A
Application number: CN202310782064.0A
Authority: CN
Inventors: 吴琼; 赵志勇; 陈伟章
Original assignee: ZTE Corp
Current assignee: ZTE Corp
Priority date: 2023-06-28
Filing date: 2023-06-28
Publication date: 2024-12-31
Also published as: WO2025001075A1

Abstract

The present application provides an optical signal-to-noise ratio (OSNR) monitoring method, system and storage medium, which relate to but are not limited to the field of communication technology. The OSNR monitoring system includes a management and control unit and multiple OSNR monitoring units distributed in an optical transport network (OTN), and each OSNR monitoring unit is correspondingly arranged at the output end of an optical amplifier unit in the OTN. Each OSNR monitoring unit determines the output channel optical power of the corresponding optical amplifier unit; each OSNR monitoring unit determines the corresponding channel OSNR according to the output channel optical power; and the management and control unit monitors the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit. By setting the OSNR monitoring unit and the optical amplifier unit in correspondence, each OSNR monitoring unit can be calculated independently, and monitoring at any position can be achieved through the management and control unit, thereby improving the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

Description

Optical signal-to-noise ratio (OSNR) monitoring method, system and storage medium

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to an optical signal to noise ratio (OSNR) monitoring method, an optical signal to noise ratio (OSNR) monitoring system and a storage medium.

Background

In online OSNR (Optical Signal to Noise Ratio, OSNR) monitoring, which means that the measurement of OSNR of a service is completed without interrupting the service, in early wave division multiplexing systems (generally referred to as 10G systems), since the allocated spectrum grid is far greater than the signal bandwidth, there is no spectrum overlap between adjacent channels, and the noise floor is not affected by filtering, so the noise floor and OSNR estimation are generally completed by using an out-of-band interpolation method. In the later period, with commercial deployment of 40G and 100G systems, the out-of-band bottom noise cannot represent the real noise level in the channel any more due to the influence of ROADM site filtering effect and adjacent channel crosstalk, and the traditional out-of-band interpolation estimation method is completely ineffective. In the related art, an optical method, a DSP method, a spectrum comparison method, and a parameter estimation method based on an optical fiber link are generally used for OSNR monitoring, where the optical method has more external dependence, low monitoring reliability, a low monitoring range of the DSP method, poor hardware integration level of the spectrum comparison method, and thus limited monitoring range, and a complex flow, poor monitoring efficiency, and poor maintainability of the parameter estimation method of the optical fiber link, so there is a need for an OSNR monitoring method that can solve the above problems to improve the reliability, hardware integration level, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring.

Disclosure of Invention

The embodiment of the application provides an optical signal to noise ratio (OSNR) monitoring method, an optical signal to noise ratio (OSNR) monitoring system and a storage medium, which can improve the reliability, hardware integration level, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

According to a first aspect, the present application provides an OSNR monitoring method, applied to an OSNR monitoring system, where the OSNR monitoring system includes a management and control unit and a plurality of OSNR monitoring units distributed in an OTN of an optical transport network, each of the OSNR monitoring units is correspondingly disposed at an output end of one of optical amplifying units in the OTN, and the method includes:

each OSNR monitoring unit determines the output channel optical power of the corresponding optical amplifying unit, wherein the output channel optical power corresponds to a specific wavelength;

Each OSNR monitoring unit determines a corresponding channel OSNR according to the output channel optical power;

The management and control unit monitors the OSNR of the OTN according to the OSNR of the channels of each OSNR monitoring unit.

According to a second aspect, the OSNR monitoring system provided by the present application includes a management and control unit and a plurality of OSNR monitoring units distributed in an OTN, where each OSNR monitoring unit is correspondingly disposed at an output end of an optical amplifying unit in the OTN;

the OSNR monitoring unit comprises an optical power detection module and an OSNR calculation module, wherein,

The optical power detection module is used for determining the optical power of the output channel of the corresponding optical amplifying unit;

the OSNR calculation module determines a corresponding channel OSNR according to the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength;

the management and control unit is used for monitoring the OSNR of the OTN according to the OSNR of the channels of each OSNR monitoring unit.

In a third aspect, the present application provides an OSNR monitoring system, including:

a plurality of processors;

a plurality of memories for storing computer executable programs;

The OSNR monitoring method according to any one of the first aspects is implemented when the computer executable program is executed by a plurality of the processors.

In a fourth aspect, according to the present application, there is provided a computer readable storage medium having stored therein a processor executable program for implementing the OSNR monitoring method according to any one of the first aspects when the processor executable program is executed by a processor

The embodiment of the application has the advantages that the OSNR monitoring units are correspondingly arranged along with the optical amplifying units in the OTN, and the channel OSNR corresponding to each specific wavelength is determined according to the monitored output channel optical power of the specific wavelength, at the moment, the OSNR monitoring units are independent of each other, the hardware integration level is high, the reliability is higher, the plurality of OSNR monitoring units can process the optical amplifying units in the OTN in parallel to improve the monitoring efficiency, meanwhile, the management and control units are arranged to uniformly manage the OSNR of the plurality of OSNR monitoring units in the OTN, the maintainability is higher, the dependence on the external environment can be reduced, the monitoring on the OSNR at any position of the whole OTN is realized, and meanwhile, the processing efficiency of the management and control units is lower in correlation with the complexity of the optical network and the number of the OSNR monitoring units.

Drawings

FIG. 1 is a schematic diagram of a system networking of one embodiment of an OSNR monitoring system provided by the present application;

FIG. 2 is a block diagram of an OSNR monitoring unit in an OSNR monitoring system provided by the present application;

FIG. 3 is a schematic diagram illustrating an OTN composition of an embodiment of an OSNR monitoring system provided by the present application;

FIG. 4 is a schematic flow chart of an OSNR monitoring method provided by the application;

Fig. 5 is a schematic diagram of a system hardware structure of another embodiment of an OSNR monitoring system according to the present application.

Reference numerals:

a control unit 100,

The optical power monitoring device comprises an OSNR monitoring unit 200, an optical power detection module 210, an OSNR calculation module 220, an OSNR performance management unit 230, an optical amplification unit 310, a transmitting end 320, a receiving end 330 and an optical switching unit 340.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart.

In embodiments of the application, the words "further," "exemplary," or "optionally," etc. are used to indicate by way of example, illustration, or description, and should not be construed as preferred or advantageous over other embodiments or designs. The use of the words "further," "exemplary," or "optionally" and the like is intended to present the relevant concepts in a concrete fashion.

Before explaining the embodiments of the present application in further detail, terms and terminology involved in the embodiments of the present application are explained, and the terms and terminology involved in the embodiments of the present application are applicable to the following explanation:

Dense wavelength division multiplexing (DENSE WAVELENGTH Division Multiplexing, DWDM) is a technology that combines multiple optical carrier signals (carrying various information) with different wavelengths and having close spectral spacing together at a transmitting end through a Multiplexer (also called a Multiplexer) and is coupled to the same optical fiber of an optical line for transmission.

The top modulation technique is to superimpose a low-frequency sine or cosine modulation with a small amplitude on each wavelength at the transmitting end, and when the low-frequency sine or cosine signal is superimposed on the wavelength of light, there is a modulation amplitude on the top of the wavelength of light.

Before further describing the embodiments of the present disclosure, the following table 1 is an explanation of the chinese-english abbreviations used in the embodiments of the present disclosure:

Abbreviations	English original text	Chinese meaning
			OSNR	Optical Signal to Noise Ratio	Optical signal to noise ratio
OTN	Optical Transport Network	Optical transmission network
			OCh	Optical Channel with full functionality	(Full-function) optical path
OTS	Optical Transmission Section	Light transmission section
			OMS	Optical Multiplex Section	Optical multiplexing section
ROADM	Reconfigurable Optical Add/Drop Multiplexing	Reconfigurable optical add/drop multiplexing
			OCM	Optical Channel Monitor	Optical channel monitor
DSP	Digital Signal Processing	Digital signal processing
			ASE	Amplified Spontaneous Emission	Spontaneous emission amplification
OTU	Optical Transponder Unit	Optical transceiver unit
			OA	Optical Amplifier	Optical amplifier

TABLE 1

It should be noted that on-line OSNR (Optical Signal to Noise Ratio, OSNR) monitoring refers to that the measurement of OSNR of a service is completed without interrupting the service, and in an early wavelength division multiplexing system (generally referred to as a 10G system), since the allocated spectrum grid is far greater than the signal bandwidth, there is no spectrum overlap between adjacent channels, and the noise floor and OSNR estimation are not affected by filtering, so an out-of-band interpolation method is generally used to complete the noise floor and OSNR estimation. In the later period, with commercial deployment of 40G and 100G systems, the out-of-band bottom noise cannot represent the real noise level in the channel any more due to the influence of ROADM site filtering effect and adjacent channel crosstalk, and the traditional out-of-band interpolation estimation method is completely ineffective. In the related art, in order to solve the problem that the commercial deployment of the 40G and 100G systems is affected by the filtering effect of the ROADM site and the crosstalk of adjacent channels, an optical method, a DSP method, a spectrum comparison method and a parameter estimation method based on an optical fiber link are generally adopted to perform OSNR monitoring, wherein the optical method has more external dependence, low monitoring reliability, low monitoring range of the DSP method, poor hardware integration level of the spectrum comparison method, limited monitoring range, complex flow of the parameter estimation method of the optical fiber link, poor monitoring efficiency and poor maintainability. The optical method is taken as an example, the essence of the detection by using the OSNR is that the signal light and ASE noise are quantitatively separated, so that the separation can be realized according to the optical difference of the signal light and the ASE noise, for example, the signal light is a coherent light source, the ASE noise is a non-coherent light source, the separation can be realized by adopting a nonlinear method such as delay interference and even stimulated Brillouin effect, for example, the signal light consists of two paths of signals in orthogonal polarization states, the polarization state of the ASE noise is random, and the separation is realized by adopting a polarization return-to-zero method, but the optical method is generally greatly affected by the environment, for example, the interference effect is sensitive to the environment temperature and the fine vibration, and the signal polarization state is also influenced by the environment and is quickly converted, so that the calculated OSNR is inaccurate, and the reliability of monitoring is poor. For example, in the DSP method, separation is achieved by demodulating signals or using statistics characteristics of uncorrelated signal-related noise, and the DSP method can be built in most of mainstream coherent optical modules for separation, but can only be used for end-to-end OSNR detection, and is sensitive to damage other than ASE noise such as nonlinearity and filtering effect, so that the coverage of detection is insufficient. In addition, for example, a spectrum comparison method is taken as an example, separation is realized through spectrum numerical value difference caused by comparison noise, OSNR between any nodes can be detected, the defect of detection coverage of a DSP method can be overcome, but the detection precision is seriously dependent on the spectrum resolution of the OCM, so that the calculated OSNR is inaccurate. According to the method, according to information such as optical power detected in the optical fiber link and optical fiber link parameters calibrated in advance, and by combining physical models of the optical fiber and the optical amplifier, OSNR at any position in the optical fiber link can be estimated, the method only needs to deploy OCM at a node, has no additional hardware deployment requirement on the basis of power detection, has large detection coverage range and no dead angle, but depends on accurate calibration and analog calculation of the optical fiber link, and when actual engineering deployment is carried out, the optical fiber link parameters cannot be accurately acquired in real time, and the acquisition of a large number of optical fiber link parameters can make the estimation flow of OSNR extremely complex, so that the method has outstanding implementation dependence on multiple functions, And the engineering maintenance is difficult. Based on the above, the embodiment of the application provides an OSNR monitoring method, an OSNR monitoring system and a storage medium, which can improve the reliability, hardware integration level, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

Referring to fig. 1 to 2, fig. 1 is a schematic system networking diagram of an embodiment of an OSNR monitoring system provided by the present application, and fig. 2 is a block diagram of an OSNR monitoring unit 200, where the OSNR monitoring system provided by the embodiment of the present application includes a management and control unit 100 and a plurality of OSNR monitoring units 200 distributed in an OTN of an optical transport network, and each OSNR monitoring unit 200 is correspondingly disposed at an output end of an optical amplifying unit 310 in the OTN;

the OSNR monitoring unit 200 includes an optical power detection module 210 and an OSNR calculation module 220, wherein,

The optical power detection module 210 is configured to determine an output channel optical power of the corresponding optical amplifying unit 310;

the OSNR calculating module 220 determines a corresponding channel OSNR according to the output channel optical power, where the output channel optical power corresponds to a specific wavelength;

The management and control unit 100 is configured to monitor OSNR of the OTN according to OSNR of the channels of the respective OSNR monitoring units 200.

Therefore, by setting the OSNR monitoring unit 200 to follow the optical amplifying unit 310 in the OTN and determining the channel OSNR corresponding to each specific wavelength according to the detected optical power of the output channel of the specific wavelength, the OSNR monitoring units 200 are independent of each other, the hardware integration level is high, the reliability is higher, and the multiple OSNR monitoring units 200 can process the optical amplifying unit 310 in the OTN in parallel to improve the monitoring efficiency, and meanwhile, by setting the management and control unit 100, the OSNR of the multiple OSNR monitoring units 200 in the OTN is uniformly managed, the maintainability is higher, and the dependence on the external environment can be reduced to realize the monitoring of the OSNR of any position of the whole OTN, and meanwhile, the processing efficiency of the management and control unit 100 has lower correlation with the complexity of the optical network and the number of the OSNR monitoring units 200.

For example, referring to fig. 1 and 3, the OTN includes a transmitting end 320, an OTS segment and a receiving end 330 on the user side, where the optical signal sequentially passes through an optical amplifying unit 310- > an optical switching unit 340 (i.e. WSS) - > an optical amplifying unit 310 in the drawing) on the transmitting end 320, and sequentially passes through the optical amplifying unit 310- > an optical switching unit 340 (i.e. WSS) - > an optical amplifying unit 310 in the drawing) on the receiving end 330. Because each OSNR monitoring unit 200 is correspondingly disposed at the output end of one optical amplifying unit 310 in the OTN, when each optical amplifying unit 310 in the OTN is disposed with an OSNR monitoring unit 200, the OSNR monitoring system in the present application can cover the monitoring of any position of the OTN, and does not need to acquire a large number of optical fiber link parameters, and is only related to the optical amplifying unit 310, thus the implementation dependence is less, and the OSNR monitoring units 200 are mutually independent and can be calculated in parallel, so the monitoring efficiency of the whole network is high.

For example, referring to fig. 1, taking the transmission direction of an optical signal with a wavelength of λ ₁ as an example of a transmission direction, 5 optical amplifying units 310 are disposed in the OTN in the transmission direction, correspondingly, 5 OSNR monitoring units 200 are disposed, the 5 OSNR monitoring units 200 are respectively an OSNR monitoring unit 2, an OSNR monitoring unit 4, an OSNR monitoring unit 6, an OSNR monitoring unit 8 and an OSNR monitoring unit 10, and when λ ₁ passes through the 5 optical amplifying units 310 in sequence, the OSNR monitoring units 2,4, 6, 8 and 10 respectively calculate the optical power of the output channel when passing through, so as to obtain the channel OSNR of λ ₁. Because the optical amplifying unit 310 involves each network segment in the OTN, the OSNR monitoring units 2,4, 6, 8, and 10 can be combined and accumulated to realize OSNR monitoring of any segment on the transmission link. Similarly, in a direction opposite to the transmission direction of the optical signal with the wavelength lambda ₁, 5 optical amplifying units 310 are provided, correspondingly, 5 OSNR monitoring units 200 are provided, the 5 OSNR monitoring units 200 are respectively an OSNR monitoring unit 1, an OSNR monitoring unit 3, an OSNR monitoring unit 5, an OSNR monitoring unit 7, an OSNR monitoring unit 9, the OSNR monitoring units 1,3, 5, an OSNR monitoring unit 7, and the OSNR monitoring unit 9 respectively calculate the optical power of the output channel passing through the optical amplifying unit 310, thereby obtaining the corresponding channel OSNR.

It can be appreciated that the optical power detection module 210 is specifically configured to:

acquiring a roof adjusting signal output by a corresponding optical amplifying unit 310;

determining a wavelength value of a specific wavelength according to the frequency of the top-adjusting signal;

And determining the optical power of the output channel corresponding to the wavelength value according to the amplitude of the crest signal.

It should be noted that, the top-tuning signal is information related to a wavelength label generated based on the top-tuning technology, and in a related DWDM system, when an optical signal is transmitted in an OTN by adopting the top-tuning technology, detection of the wavelength label needs to be performed at each OA, so that channel optical power detection is realized according to the frequency of the top-tuning signal, an OCM module does not need to be additionally deployed, and the integration level is high and the real-time performance is good.

It is appreciated that the OSNR computing module 220 is specifically configured to:

determining a gain spectrum and a noise coefficient spectrum corresponding to the optical amplifying unit 310 according to the output channel optical power;

Determining the optical power of an input channel according to the optical power of the output channel and the gain spectrum;

and determining a corresponding channel OSNR according to the noise coefficient spectrum and the input channel optical power.

It should be noted that, the determination of the gain spectrum and the noise coefficient spectrum may be performed by inputting the optical power of the output channel into the existing OA noise analysis model or the trained neural network model. Those skilled in the art may select a specific implementation manner according to actual requirements for determining the gain spectrum and the noise figure spectrum corresponding to the optical amplifying unit 310.

It should be noted that the sum of the gain spectrum and the output channel optical power is the input channel optical power, and therefore, in the case where both the output channel optical power and the gain spectrum are known, the input channel optical power can be calculated.

It should be noted that the noise figure spectrum, the input channel optical power and the channel OSNR have a fixed functional relationship, such as OSNR (λ) =p _in(λ)-NF_c(λ)-10log₁₀(hvv_r, and therefore, the corresponding channel OSNR can be determined according to the noise figure spectrum and the input channel optical power.

It can be understood that the OTN includes an optical transmission section OTS, an optical multiplexing section OMS, and an optical channel layer OCh, and the plurality of OSNR monitoring units 200 includes a first OSNR monitoring unit disposed at the OTS, a second OSNR monitoring unit disposed at the OMS, and a third OSNR monitoring unit disposed at the OCh;

The management and control unit 100 is specifically configured to:

monitoring and obtaining the OSNR of the channels from all the first OSNR monitoring units, accumulating the OSNR of all the channels to obtain the OSNR of the OTS, and

Obtaining channel OSNR from all second OSNR monitoring units, accumulating all channel OSNR to obtain OSNR of OMS, and

And obtaining the channel OSNR from all the third OSNR monitoring units, and accumulating all the channel OSNR to obtain the OSNR of the OCh.

It should be noted that, referring to fig. 3, the OTN includes an optical transmission section OTS, an optical multiplexing section OMS, and an optical channel layer OCh, where the optical transmission section OTS corresponds to a portion between the service veneers of the receiving end 330 and the transmitting end 320, the optical multiplexing section OMS corresponds to a portion between the branching of the receiving end 330 and the combining of the transmitting end 320, and the optical transmission section OTS is a portion between the optical amplifying units 310 on the transmission path. Therefore, the OSNR of the OTS is obtained by monitoring and acquiring the OSNR of the channels from all the first OSNR monitoring units, the OSNR of the OTS is obtained by accumulating all the OSNR of the channels, the OSNR of the OMS is obtained by accumulating all the OSNR of the channels from all the second OSNR monitoring units, and the OSNR of the OCh is obtained by accumulating all the OSNR of the channels from all the third OSNR monitoring units.

It should be noted that, monitoring of different dimensions of the OTN can be achieved by performing statistics of channel OSNR on OA belonging to different network segments in the OTN. In addition, the OSNR monitoring units 200 are independent of each other and have no dependency on the outside in the OTN, so that the OSNR monitoring units can operate in parallel with high efficiency, no matter what type of OSNR needs to be queried for management and control, only the related equipment-side OSNR monitoring units 200 need to be queried, and the query results are accumulated according to the above formula, and the efficiency of the whole flow is only related to the interaction time between management and control and a single OSNR monitoring unit 200, and is unrelated to the complexity of the optical network and the number of OSNR monitoring units 200.

For example, if the optical transmission segment OTS is provided with N optical amplifying units 310, the optical multiplexing segment OMS is provided with M optical amplifying units 310, and the optical path layer OCh is provided with K optical amplifying units 310, the OSNR of the OTS, the OSNR of the OMS, and the OSNR of the OCh respectively satisfy the following formulas:

Where λ is the wavelength value, OSNR _OTS-OA,i (λ) represents the channel OSNR of the ith optical amplification unit 310 on OTS. OSNR _OMS-OA,i (λ) represents the channel OSNR of the ith optical amplifying unit 310 on OMS, and OSNR _OCH-OA,i (λ) represents the channel OSNR of the ith optical amplifying unit 310 on OCh.

It can be appreciated that the OSNR monitoring unit 200 further comprises an OSNR performance management unit 230, the OSNR performance management unit 230 being configured to:

the channel OSNR is stored, and the stored OSNR is fed back to the management and control unit 100.

By storing the channel OSNR, tracking of historical performance and processing of historical performance alarms can be achieved.

For example, referring to fig. 2, after detecting the optical power of the output channel of the corresponding OA, the optical power detection module 210 sends the optical power of the output channel to the corresponding OSNR calculation module 220 for calculation, so as to obtain the channel OSNR. The channel OSNR is sent to the OSNR performance management unit 230 for storage. The OSNR performance management unit 230 is communicatively coupled to the management and control unit 100 via a management interface.

It can be appreciated that the OSNR performance management unit 230 is also configured to:

and receiving the OSNR performance alarm parameters, and alarming to the management and control unit 100 under the condition that the alarm condition is met according to the channel OSNR and the OSNR performance alarm parameters.

It should be noted that the alarms include reporting of historical performance alarms (e.g., 24H performance) and real-time performance alarms (e.g., 15min performance, 15S performance). Those skilled in the art may set the alarm conditions to include performance period, abnormal threshold value of performance period, abnormal type, etc. according to actual needs.

Referring to fig. 4, a flow chart of an OSNR monitoring method according to an embodiment of the present application is shown in fig. 4, and the OSNR monitoring method according to an embodiment of the present application is applied to an OSNR monitoring system, where the OSNR monitoring system includes a management and control unit 100 and a plurality of OSNR monitoring units 200 distributed in an OTN of an optical transport network, and each OSNR monitoring unit 200 is correspondingly disposed at an output end of an optical amplifying unit 310 in the OTN, and the method includes:

Step S100, each OSNR monitoring unit 200 determines an output channel optical power of the corresponding optical amplifying unit 310, where the output channel optical power corresponds to a specific wavelength;

Step 200, each OSNR monitoring unit 200 determines a corresponding channel OSNR according to the output channel optical power;

in step S300, the management and control unit 100 monitors OSNR of the OTN according to the OSNR of the channel of each OSNR monitoring unit 200.

Therefore, by correspondingly setting one OSNR monitoring unit 200 in the OTN and determining the channel OSNR corresponding to each specific wavelength according to the detected output channel optical power of the specific wavelength, the OSNR monitoring units 200 are independent of each other, the hardware integration level is high, the reliability is higher, and the plurality of OSNR monitoring units 200 can process the optical amplifying units 310 in the OTN in parallel to improve the monitoring efficiency, and meanwhile, by setting the management and control unit 100, the OSNR of the plurality of OSNR monitoring units 200 in the OTN is uniformly managed, the maintainability is higher, the dependence on the external environment can be reduced, the monitoring on the OSNR of any position of the whole OTN is realized, and meanwhile, the processing efficiency of the management and control unit 100 is lower in correlation with the complexity of the optical network and the number of the OSNR monitoring units 200.

It should be noted that, the OSNR monitoring units 200 are related to the optical amplifying unit 310, and the corresponding channel OSNR is determined according to the optical power of the output channel, so that the OSNR monitoring units 200 are independent of each other and have no dependency on the outside, so that the OSNR monitoring units 200 in the whole OTN can operate in parallel with high efficiency. Meanwhile, for the upper management and control unit 100, no matter what type of OSNR the management and control unit 100 needs to query, only the related device-side OSNR monitoring unit 200 needs to be queried, so that the monitoring efficiency of OSNR of the whole OTN is only related to the interaction time between the management and control unit 100 and the single OSNR monitoring unit 200, and is irrelevant to the complexity of the optical network and the number of OSNR monitoring units 200.

It should be noted that, in some embodiments, the OSNR monitoring method of the present application is based on a roof-adjusting technology, so, referring to fig. 2, the optical power detection module 210 may multiplex an existing roof-adjusting detection module to synchronously obtain the optical power of the optical channel when detecting the wavelength label, so that an OCM module may not need to be deployed additionally, and the integration level is high and the real-time performance is good.

It can be appreciated that the OSNR monitoring unit 200 determines the output channel optical power of the corresponding optical amplification unit 310, comprising:

Determining a wavelength value of a specific wavelength according to the frequency of the top-adjusting signal and wavelength indication information in overhead of the top-adjusting signal;

It should be noted that the peak-to-peak signal is obtained by processing a specific wavelength based on a peak-to-peak technique. The optical power detection of the output channel is realized through the frequency of the top-adjusting signal and the wavelength indication information in the overhead of the top-adjusting signal, the detected optical power of the output channel is transmitted to the OSNR calculation module 220, after the optical power of the output channel detected by the top-adjusting is obtained by the OSNR calculation module 220, the OSNR of the channel passing through each wavelength of the optical amplifier can be calculated by combining the current setting and performance information of the optical amplifying unit 310 and the noise coefficient calibrated in advance, the calculation result is transmitted to the OSNR performance management unit 230, and finally the OSNR performance is reported to the management and control system by the OSNR performance management unit 230.

The conversion formula of the channel optical power of the specified wavelength is as follows (dB unit):

P(λ)=Amp(λ)+Bias;

Wherein, P (λ) is the optical power of the output channel with wavelength λ (i.e., a specific wavelength), amp (λ) is the magnitude of the peak-to-peak value (i.e., the frequency of the peak-to-peak signal) corresponding to the detected wavelength λ, and Bias is a power Bias parameter calibrated in advance.

It can be appreciated that the OSNR monitoring unit 200 determines a corresponding channel OSNR from the output channel optical power, comprising:

It should be noted that, assuming that the output channel optical power is P _out (λ) and the gain spectrum is G _c (λ), the input channel optical power is as follows:

P_in(λ)＝P_out(λ)-G_c(λ)。

It should be noted that, the calculation of the channel OSNR depends on the existing OA noise analysis model, and the noise analysis model may calculate a noise coefficient spectrum NF _c (λ) and a gain spectrum G _c (λ). At this time, the respective channels OSNR (λ) can be obtained as follows:

OSNR(λ)=P_in(λ)-NF_c(λ)-10log₁₀(hvv_r);

Wherein h is Planck constant, unit is mJ.s, v is frequency corresponding to wavelength lambda, unit is Hz, v _r is OSNR reference bandwidth of 0.1nm, unit is converted into Hz, wherein P _in (lambda) and NF _c (lambda) can be determined by the noise analysis model.

It can be appreciated that determining the gain spectrum corresponding to the optical amplification unit 310 includes:

according to a first mapping relationship between a preset gain spectrum and the optical power, the total input power, the total output power, the gain slope and the gain of the output channel of the optical amplifying unit 310, a gain spectrum corresponding to the optical amplifying unit 310 is determined.

It should be noted that, the first mapping relationship is as follows:

G_c(λ)＝F_{G_OA}(P_out(λ),P_in,total,P_out,total,T_set,G_set,G(λ));

Wherein, P _out (lambda) is the optical power of the output channel, P _in,total is the total input power, P _out,total is the total output power, T _set is the gain slope, G _set is the gain, and G _c (lambda) is the gain spectrum.

It can be appreciated that determining the noise figure spectrum corresponding to the optical amplification unit 310 includes:

According to a second mapping relationship between the preset noise coefficient spectrum and the output channel optical power, the input total power, the output total power, the gain slope and the gain of the optical amplifying unit 310, a gain spectrum corresponding to the optical amplifying unit 310 is determined.

It should be noted that the second mapping relationship is as follows:

NF_c(λ)＝F_{NF_OA}(P_out(λ),P_in,total,P_out,total,T_set,G_set,NF(λ))。

Wherein, P _uut (lambda) is the optical power of the output channel, P _in,total is the total input power, P _out,total is the total output power, T _set is the gain slope, G _set is the gain, and NF _c (lambda) is the noise figure spectrum.

It can be appreciated that determining the corresponding channel OSNR from the noise figure spectrum and the input channel optical power comprises:

Determining a first parameter according to the Planck constant, the frequency corresponding to the specific wavelength and the OSNR reference bandwidth;

and determining a corresponding channel OSNR according to the noise coefficient spectrum, the input channel optical power and the first parameter.

Therefore, by calibrating the gain spectrum G (λ) and the noise coefficient spectrum NF (λ) under different working conditions of OA in advance, and according to the actually detected working conditions such as the OA output channel optical power P _out (λ), the total power of the input and output ends (P _in,total,P_out,total), the currently set gain slope T _set of OA, the gain G _set, etc., the gain spectrum G _c (λ), the noise coefficient spectrum NF _c (λ) and the input end channel optical power P _in (λ) under the current working condition of OA can be obtained, the specific calculation formula (dB unit) is as follows:

G_c(λ)＝F_{G_OA}(P_out(λ),P_in,total,P_out,total,T_set,G_set,G(λ));

NF_c(λ)＝F_{NF_OA}(P_out(λ),P_in,total,P_out,total,T_set,G_set,NF(λ));

P_in(λ)＝P_out(λ)-G_c(λ);

Wherein, F _{G_OA} is a relation function between the actual OA gain spectrum G (λ), the known output power P _out (λ), the total input and output power (P _in,total,P_out,total), and the currently set OA gain slopes T _set and G _set, and F _{NF_OA} is a relation function between the actual OA noise coefficient spectrum NF (λ), the known output power spectrum P _out (λ), the total input and output power (P _in,total,P_out,total), and the currently set OA gain slopes T _set and G _set, which can be obtained by scaling in advance, for example, by a lookup table or a neural network. At this time, the respective channels OSNR (λ) can be obtained as follows:

OSNR(λ)=P_in(λ)-NF_c(λ)-10log₁₀(hvv_r)。

It can be understood that the OTN includes an optical transmission segment OTS, an optical multiplexing segment OMS, and an optical channel layer OCh, and the plurality of OSNR monitoring units 200 includes a first OSNR monitoring unit disposed on the OTS, a second OSNR monitoring unit disposed on the OMS, and a third OSNR monitoring unit disposed on the OCh, and the management unit 100 monitors OSNR of the OTN according to OSNR of a channel of each OSNR monitoring unit 200, including at least one of the following:

The management and control unit 100 monitors and acquires the channel OSNR from all the first OSNR monitoring units, and integrates all the channel OSNR to obtain the OSNR of the OTS;

The management and control unit 100 acquires channel OSNRs from all the second OSNR monitoring units, and integrates all the channel OSNRs to obtain the OSNRs of the OMS;

The management and control unit 100 obtains channel OSNR from all the third OSNR monitoring units, and integrates all the channel OSNR to obtain OSNR of OCh.

Taking an OTS segment OSNR query as an example, the management and control unit 100 initiates an OTS segment OSNR query, and first correlates with the OA corresponding to the OTS segment, and then queries OSNR monitoring units 200 of all the OA in the OTS segment for OSNR (as shown in fig. 1, correlates with OSNR monitoring units 5 and 6), so as to obtain channel OSNR of each OA, and accumulates all the channel OSNR to obtain OSNR of the OTS.

Taking an OMS segment OSNR query as an example, the management and control unit 100 initiates an OMS segment OSNR query, and first, it correlates to an OA corresponding to the OMS segment, and then queries OSNR of all OSNR monitoring units 200 in the OMS segment (as shown in fig. 1, it correlates with OSNR monitoring units 3 to 8) to obtain channel OSNRs of each OA, and accumulates all channel OSNRs to obtain OSNRs of the OMS.

Taking an OCh channel OSNR query as an example, the management and control unit 100 initiates an OCh channel OSNR query, and first associates all the OAs on the OCh channel path, and then queries the OSNR monitoring unit 200 of all the OAs on the OCh channel path for OSNR, so as to obtain the channel OSNR of each OA, and accumulates the OSNR of all the channels to obtain the OSNR of the OCh.

It is understood that the method further comprises:

each OSNR monitoring unit 200 stores a channel OSNR;

Each OSNR monitoring unit 200 feeds back its own stored OSNR to the management and control unit 100.

It is understood that the method further comprises:

each OSNR monitoring unit 200 receives OSNR performance alert parameters;

Each OSNR monitoring unit 200 alarms the management and control unit 100 in case it is determined that an alarm condition is reached according to the channel OSNR and OSNR performance alarm parameters;

Wherein the performance alert parameter includes at least one of a high OSNR threshold, a low OSNR threshold, an OSNR flatness threshold, an OSNR fluctuation threshold.

It should be noted that, the high OSNR threshold value, the low OSNR threshold value, and the OSNR flatness threshold value may be selectively set according to actual requirements, which is not limited by how the embodiments of the present application set the values. In some embodiments, the high OSNR threshold value, the low OSNR threshold value, and the OSNR flatness threshold value, where the OSNR fluctuation threshold value may be modified through an interface or a configuration file, or a fixed value may be directly set in a program, which is not limited in the setting manner according to the embodiments of the present application.

It should be noted that the OSNR flatness threshold value is used to represent a variation trend between OSNRs of multiple channels under the same OA, and the OSNR fluctuation threshold value is used to represent a variation trend of OSNR of the same channel at different moments.

It should be noted that the performance alert parameters include real-time performance parameters and historical performance parameters.

For real-time performance parameters, exemplary, referring to fig. 2, taking optical signal transmission by using a roof-switching technology, OMS segment OSNR query is taken as an example, including:

1) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates an OSNR performance acquisition requirement, where the top-adjusting detection module as the optical power detection module 210 acquires optical powers of all wavelength channels of the detection point and transfers the optical powers to the OSNR calculation module 220, and the OSNR calculation module 220 feeds back an OSNR result calculated in real time to the OSNR performance management unit 230;

2) The OSNR performance management unit 230 of each OA will feed back the OSNR result calculated in real time to the management and control unit 100, and finally the management and control unit 100 calculates the OTS segment OSNR according to the foregoing accumulation formula.

For real-time performance parameters, an OMS segment OSNR query is exemplified, including:

2) The OSNR monitoring unit 200 of each OA will feed back the OSNR result calculated in real time in the OSNR performance management unit 230 to the management and control unit 100, and finally the management and control unit 100 calculates the OMS segment OSNR according to the above accumulation formula.

For real-time performance parameters, exemplary, referring to fig. 2, the optical signal is transmitted by using a roof-switching technology, and an OCh channel OSNR query is taken as an example, including:

2) The OSNR monitoring unit 200 of each OA may feed back the OSNR result calculated in real time in the OSNR performance management unit 230 to the management and control unit 100, and finally the management and control unit 100 calculates the OSNR of the OCh channel according to the above accumulation formula.

For historical performance parameters, taking OTS/OMS/OCh historical OSNR performance queries as an example, there are:

1) The OSNR monitoring unit 200 of each OA in the optical network spontaneously collects the instantaneous OSNRs of all channels, counts the maximum value, the minimum value and the average value of the OSNRs of each channel in a set time, and stores the maximum value, the minimum value and the average value in the OSNR performance management unit 230;

2) The management and control initiates an OTS/OMS/OCh history OSNR inquiry, firstly, all OAs corresponding to the OTS/OMS/OCh are related, and then history OSNR performance is inquired to an OSNR monitoring unit 200 of all related OAs;

3) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 feeds back the stored historical OSNR performance to the management and control unit 100;

4) And (5) controlling to calculate the OTS/OMS/OCh historical OSNR performance according to the accumulation formula.

For the performance alert parameters, taking OSNR performance alert as an example, there are:

1) The management and control unit 100 or an external user configures OSNR performance alarm parameters, including a high OSNR threshold value, a low OSNR threshold value, an OSNR flatness threshold value, an OSNR fluctuation threshold value, and the like;

2) Each OSNR monitoring unit 200 in the optical network spontaneously collects instantaneous OSNR of all channels, when the instantaneous OSNR exceeds a high OSNR threshold value, reports a high threshold alarm, when the instantaneous OSNR exceeds a low OSNR threshold value, reports a low threshold alarm, when the OSNR flatness of all channels exceeds an OSNR flatness threshold value, reports an OSNR flatness out-of-limit alarm, and when the difference between the OSNR value at the current moment and the OSNR value at the previous moment exceeds an OSNR fluctuation threshold value, reports an OSNR fluctuation out-of-limit alarm.

It should be noted that, the OTN in the present application may be any wavelength division multiplexing network, so the OSNR monitoring method provided by the present application may apply Yu Renyi wavelength division multiplexing networks to monitor OSNR, and meanwhile, the OSNR system of the present application may be deployed in Yu Renyi wavelength division multiplexing networks as a deployment implementation policy of an online OSNR monitoring system.

It should be noted that the OSNR monitoring method and system of the present application can be applied to the online operation and maintenance stage of the wavelength division network to intelligently energize the optical layer.

It can be understood that referring to fig. 5, fig. 5 illustrates a part of a hardware structure of an OSNR monitoring system according to another embodiment, and an OSNR monitoring system according to the present application includes:

A plurality of processors 501;

A plurality of memories 502 for storing computer-executable programs;

The OSNR monitoring method of any one of the above is implemented when the computer executable program is executed by the plurality of processors 501.

The memory 502, as a non-transitory network system, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. In addition, memory 502 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some implementations, the memory 502 may optionally include memory located remotely from the processor 501, which may be connected to the processor 501 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor 501 may be implemented by a general-purpose CPU (central processing unit), a microprocessor, an application-specific integrated circuit (ApplicationSpecificIntegratedCircuit, ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solution provided by the embodiments of the present application;

Memory 502 may be implemented in the form of read-only memory (ReadOnlyMemory, ROM), static storage, dynamic storage, or random access memory 502 (RandomAccessMemory, RAM), among others. Memory 502 may store an operating system and other application programs, and when the technical solutions provided in the embodiments of the present disclosure are implemented by software or firmware, relevant program codes are stored in memory 502, and the processor 501 invokes a method for executing an embodiment of the present disclosure;

in some embodiments, the OSNR monitoring system further comprises:

the input/output interface is used for realizing information input and output;

the communication interface is used for realizing communication interaction between the device and other devices, and can realize communication in a wired mode (such as USB, network cable and the like) or in a wireless mode (such as mobile network, WIFI, bluetooth and the like);

a bus that transfers information between the various components of the device (e.g., processor 501, memory 502, input/output interfaces, and communication interfaces);

Wherein the processor 501, the memory 502, the input/output interface and the communication interface may be communicatively coupled to each other within the device via a bus.

It will be appreciated that according to the present application, there is provided a computer readable storage medium having stored therein a program executable by a processor, the program executable by the processor being for implementing the OSNR monitoring method according to any one of the above.

Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.

Claims

1. An optical signal-to-noise ratio (OSNR) monitoring method, applied to an OSNR monitoring system, wherein the OSNR monitoring system comprises a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units being arranged at an output end of an optical amplification unit in the OTN, the method comprising:

Each of the OSNR monitoring units determines an output channel optical power of the corresponding optical amplification unit, wherein the output channel optical power corresponds to a specific wavelength;

Each of the OSNR monitoring units determines the corresponding channel OSNR according to the output channel optical power;

The management and control unit monitors the OSNR of the OTN according to the channel OSNR of each of the OSNR monitoring units.

2. The method according to claim 1, wherein the OSNR monitoring unit determines the output channel optical power of the corresponding optical amplifying unit, comprising:

Acquire a top modulation signal output by the corresponding optical amplification unit;

Determine the wavelength value of the specific wavelength according to the frequency of the top modulation signal and the wavelength indication information in the overhead of the top modulation signal;

The output channel optical power corresponding to the wavelength value is determined according to the amplitude of the top modulation signal.

3. The method according to claim 1, wherein the OSNR monitoring unit determines the corresponding channel OSNR according to the output channel optical power, comprising:

Determine the gain spectrum and noise coefficient spectrum corresponding to the optical amplification unit according to the output channel optical power;

Determine the input channel optical power according to the output channel optical power and the gain spectrum;

The corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power.

4. The method according to claim 3, characterized in that determining the gain spectrum corresponding to the optical amplification unit comprises:

The gain spectrum corresponding to the optical amplifying unit is determined according to a first mapping relationship between a preset gain spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit.

5. The method according to claim 3, characterized in that determining the noise coefficient spectrum corresponding to the optical amplification unit comprises:

The gain spectrum corresponding to the optical amplifying unit is determined according to a second mapping relationship between a preset noise coefficient spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit.

6. The method according to any one of claims 3 to 5, characterized in that determining the corresponding channel OSNR according to the noise coefficient spectrum and the input channel optical power comprises:

Determine a first parameter according to Planck's constant, a frequency corresponding to the specific wavelength, and an OSNR reference bandwidth;

The corresponding channel OSNR is determined according to the noise coefficient spectrum, the input channel optical power and the first parameter.

7. The method according to claim 1, characterized in that the OTN comprises an optical transmission segment OTS, an optical multiplexing segment OMS and an optical path layer OCh, the multiple OSNR monitoring units comprise a first OSNR monitoring unit arranged in the OTS, a second OSNR monitoring unit arranged in the OMS and a third OSNR monitoring unit arranged in the OCh, and the management and control unit monitors the OSNR of the OTN according to the channel OSNR of each of the OSNR monitoring units, including at least one of the following:

The control unit monitors and obtains the channel OSNR from all the first OSNR monitoring units, and accumulates all the channel OSNRs to obtain the OSNR of the OTS;

The control unit obtains the channel OSNR from all the second OSNR monitoring units, accumulates all the channel OSNRs, and obtains the OSNR of the OMS;

The control unit obtains the channel OSNR from all the third OSNR monitoring units, and accumulates all the channel OSNRs to obtain the OSNR of the OCh.

8. The method according to claim 7, characterized in that the method further comprises:

Each of the OSNR monitoring units stores the channel OSNR;

Each of the OSNR monitoring units feeds back the OSNR stored in itself to the control unit.

9. The method according to claim 8, characterized in that the method further comprises:

Each of the OSNR monitoring units receives an OSNR performance alarm parameter;

Each of the OSNR monitoring units sends an alarm to the control unit when it is determined that an alarm condition is reached according to the channel OSNR and the OSNR performance alarm parameter;

The performance alarm parameter includes at least one of a high OSNR threshold value, a low OSNR threshold value, an OSNR flatness threshold value, and an OSNR fluctuation threshold value.

10. An optical signal-to-noise ratio (OSNR) monitoring system, the OSNR monitoring system comprising a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units being arranged at an output end of an optical amplification unit in the OTN;

The OSNR monitoring unit includes an optical power detection module and an OSNR calculation module, wherein:

The optical power detection module is used to determine the output channel optical power of the corresponding optical amplification unit;

The OSNR calculation module determines the corresponding channel OSNR according to the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength;

The control unit is used to monitor the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit.

11. The OSNR monitoring system according to claim 10, wherein the optical power detection module is specifically used for:

Determining a wavelength value of the specific wavelength according to the frequency of the top modulation signal;

12. The OSNR monitoring system according to claim 10, wherein the OSNR calculation module is specifically used for:

13. The OSNR monitoring system according to claim 10, characterized in that the OTN comprises an optical transmission segment OTS, an optical multiplexing segment OMS and an optical channel layer OCh, and the plurality of OSNR monitoring units comprises a first OSNR monitoring unit arranged in the OTS, a second OSNR monitoring unit arranged in the OMS and a third OSNR monitoring unit arranged in the OCh;

The control unit is specifically used for:

Acquire the channel OSNR from all the first OSNR monitoring units, accumulate all the channel OSNRs to obtain the OSNR of the OTS; and,

Acquire the channel OSNR from all the second OSNR monitoring units, accumulate all the channel OSNRs to obtain the OSNR of the OMS; and,

The channel OSNR is acquired from all the third OSNR monitoring units, and all the channel OSNRs are accumulated to obtain the OSNR of the OCh.

14. The OSNR monitoring system according to claim 13, wherein the OSNR monitoring unit further comprises an OSNR performance management unit, and the OSNR performance management unit is used to:

The channel OSNR is stored, and the stored OSNR is fed back to the control unit.

15. The OSNR monitoring system according to claim 14, wherein the OSNR performance management unit is further used for:

An OSNR performance alarm parameter is received, and when it is determined according to the channel OSNR and the OSNR performance alarm parameter that an alarm condition is reached, an alarm is sent to the control unit.

16. An optical signal-to-noise ratio (OSNR) monitoring system, comprising:

Multiple processors;

a plurality of memories for storing computer executable programs;

When the computer executable program is executed by a plurality of the processors, the optical signal-to-noise ratio (OSNR) monitoring method according to any one of claims 1 to 9 is implemented.

17. A computer-readable storage medium, wherein a program executable by a processor is stored in the computer-readable storage medium, wherein the program executable by the processor is used to implement the optical signal-to-noise ratio (OSNR) monitoring method according to any one of claims 1 to 9 when executed by the processor.