CN-119276367-B - Multi-band dynamic optical network transmission optimization method and system

CN119276367BCN 119276367 BCN119276367 BCN 119276367BCN-119276367-B

Abstract

The invention provides a multiband dynamic optical network transmission optimization method and system, the method comprises the steps of determining whether an optical fiber node is a compensation point based on a power spectrum of the optical fiber node in an un-optimized optical network, calculating a target gain curve corresponding to the compensation point based on the power spectrum corresponding to the compensation point, inputting the target gain curve into a pre-trained machine learning model, constructing an initial pump power vector based on an output value of the machine learning model, carrying out iterative calculation on the initial pump power vector through a plurality of iterative rounds, determining the finally applied pump power, calculating to determine a circulating pump power vector based on the current iterative pump power vector in each iterative round, calculating an environment difference based on the circulating pump power vector and the initial pump power vector, calculating an iterative pump power vector of a new round based on the environment difference, and determining whether the iterative pump power vector of the new round corresponds to the finally applied pump power.

Inventors

GU RENTAO
LIU SIHAN
GAO XIAOXUAN
JI YUEFENG

Assignees

北京邮电大学

Dates

Publication Date: 20260508
Application Date: 20241121

Claims (10)

1. A method for optimizing transmission in a multi-band dynamic optical network, the method comprising the steps of: Acquiring a power spectrum of each optical fiber node in an unoptimized optical network, wherein power values corresponding to the positions of the optical fiber nodes at different frequencies are recorded in the power spectrum, and determining whether the positions corresponding to the optical fiber nodes are compensation points or not based on the maximum value and the minimum value of the power values in the power spectrum; calculating a target gain curve corresponding to the compensation point based on a power spectrum corresponding to the compensation point, wherein the target gain curve comprises a plurality of gain values corresponding to different frequencies; inputting the target gain curve into a pre-trained machine learning model, and constructing an initial pumping power vector based on an output value of the machine learning model; And carrying out iterative calculation on the initial pump power vector through a plurality of iterative rounds, determining the pump power of the final application, calculating to determine a circulating pump power vector based on the current iterative pump power vector in each iterative round, calculating an environment difference based on the circulating pump power vector and the initial pump power vector, calculating the iterative pump power vector of a new round based on the environment difference, and determining whether the iterative pump power vector of the new round corresponds to the pump power of the final application.
2. The method according to claim 1, wherein in the step of calculating a cyclic pump power vector determined based on a current iterative pump power vector, a corresponding actual gain value is determined based on the current iterative pump power vector, and the cyclic pump power vector is determined based on the actual gain value.
3. The method of claim 1, wherein the step of calculating an iterative pump power vector for a new round based on the environmental difference comprises: calculating tuning parameters based on the initial pump power vector and the current iterative pump power vector; and calculating the iterative pump power vector of a new round based on the current iterative pump power vector, the tuning parameters and the environment difference.
4. A multi-band dynamic optical network transmission optimization method according to claim 3, wherein in the step of calculating a tuning parameter based on the initial pump power vector and the current iterative pump power vector, a quotient of the initial pump power vector and the current iterative pump power vector is calculated as the tuning parameter.
5. The multi-band dynamic optical network transmission optimization method of claim 3, wherein in the step of calculating the iterative pump power vector of the new round based on the current iterative pump power vector, the tuning parameters and the environmental difference, the iterative pump power vector of the new round is calculated based on the following formula: P_new=P_last-λ*P_dif; where p_new represents the iteration pump power vector of the new round, p_last represents the current iteration pump power vector, p_dif represents the environmental difference, and λ represents the tuning parameter.
6. The method according to any one of claims 1 to 5, wherein in the step of determining whether the iterative pump power vector of the new round corresponds to the pump power of the final application, the iterative pump power vector of the new round is compared with the target gain curve to determine whether the iterative pump power vector of the new round corresponds to the pump power of the final application.
7. The method according to claim 6, wherein in the step of comparing the iteration pump power vector of the new round with the target gain curve to determine whether the iteration pump power vector of the new round corresponds to the pump power of the final application, the root mean square error and the maximum absolute error are calculated based on the gain value corresponding to each power point in the iteration pump power vector of the new round compared with the gain value corresponding to each power point in the target gain curve, and the root mean square error and the maximum absolute error are compared with the corresponding root mean square error threshold and the maximum absolute error threshold, respectively, to determine whether the iteration pump power vector of the new round corresponds to the pump power of the final application.
8. The transmission optimization method of a multiband dynamic optical network according to claim 1, wherein in the step of calculating a target gain curve corresponding to a compensation point based on a power spectrum corresponding to the compensation point, a gain value corresponding to each frequency point in the target gain curve is calculated based on the following formula: Wherein, the The gain value corresponding to the frequency point i is represented, N represents the total number of the frequency points, P i represents the power value corresponding to the frequency point i in the power spectrum, and G average represents the average gain of all the frequency points introduced by the expected Raman amplifier.
9. The method according to claim 1 or 8, wherein in the step of determining whether the position corresponding to the optical fiber node is the compensation point based on the maximum value and the minimum value of the power values in the power spectrum, a difference between the maximum value and the minimum value of the power values in the power spectrum is calculated, and if the difference between the maximum value and the minimum value of the power values in the power spectrum is greater than a preset difference threshold, the position corresponding to the optical fiber node is determined to be the compensation point.
10. A multi-band dynamic optical network transmission optimization system, characterized in that the system comprises a computer device, the computer device comprising a processor and a memory, the memory having stored therein computer instructions, the processor being adapted to execute the computer instructions stored in the memory, the system implementing the steps implemented by the method according to any of claims 1-9 when the computer instructions are executed by the processor.

Description

Multi-band dynamic optical network transmission optimization method and system Technical Field The invention relates to the technical field of optical amplifiers, in particular to a multiband dynamic optical network transmission optimization method and system. Background With the rapid development of new internet technology and the explosive growth of terminals and applications, traffic has remained exponentially increasing. As an underlying network for transmission, a new capacity expansion method is urgently needed for an optical network to cope with the tremendous increase in traffic. Multiband transmission is considered as a promising alternative to recent optical network upgrades. This approach takes advantage of existing spectrum outside of the traditional C-band, including O, E, S and L-bands. Given the low attenuation exhibited by widely deployed ITU-T g.652d optical fibers over these bands, the need to deploy additional optical fibers can be effectively avoided in multi-band systems, and the types of devices that need to be used in these bands are also relatively mature, multi-band wavelength division multiplexing systems have now proven to be an effective way to achieve greater optical network capacity. However, the spreading of the band results in more significant nonlinear effects, especially the stimulated raman scattering effect between channels, which may cause non-uniform effects on signals of different bands, directly results in complex changes in the power spectrum of the transmission signal, and is particularly represented by channel power being transferred from a high-frequency channel to a low-frequency channel, which may result in a signal quality of the high-frequency channel being significantly lower than that of the low-frequency channel, and in severe cases, may result in a failure in signal transmission at high frequencies, which reduces the effectiveness of multi-band expansion. Disclosure of Invention In view of the foregoing, embodiments of the present invention provide a method and system for optimizing transmission of a multiband dynamic optical network, so as to obviate or mitigate one or more disadvantages in the prior art. One aspect of the present invention provides a method for optimizing transmission in a multi-band dynamic optical network, the method comprising the steps of: Acquiring a power spectrum of each optical fiber node in an unoptimized optical network, wherein power values corresponding to the positions of the optical fiber nodes at different frequencies are recorded in the power spectrum, and determining whether the positions corresponding to the optical fiber nodes are compensation points or not based on the maximum value and the minimum value of the power values in the power spectrum; calculating a target gain curve corresponding to the compensation point based on a power spectrum corresponding to the compensation point, wherein the target gain curve comprises a plurality of gain values corresponding to different frequencies; inputting the target gain curve into a pre-trained machine learning model, and constructing an initial pumping power vector based on an output value of the machine learning model; And carrying out iterative calculation on the initial pump power vector through a plurality of iterative rounds, determining the pump power of the final application, calculating to determine a circulating pump power vector based on the current iterative pump power vector in each iterative round, calculating an environment difference based on the circulating pump power vector and the initial pump power vector, calculating the iterative pump power vector of a new round based on the environment difference, and determining whether the iterative pump power vector of the new round corresponds to the pump power of the final application. By adopting the scheme, in the practical application of the Raman amplifier, the channel power is transferred from a high-frequency channel to a low-frequency channel, the phenomenon can lead to the signal quality of the high-frequency channel being obviously lower than that of the low-frequency channel, and the signal can not be transmitted at a high frequency part when the signal is serious, so that the effectiveness of multiband capacity expansion is reduced. According to the scheme, through calculation of multiple rounds of iteration and calculation of environmental differences based on the circulating pump power vector and the initial pump power vector in each round, the circulating pump power vector is close to the initial pump power vector corresponding to the target gain curve, and the final pump power realizing effect is guaranteed to be matched with an expected target. In some embodiments of the invention, in the step of calculating a cyclic pump power vector based on the current iterative pump power vector, a corresponding actual gain value is determined based on the current iterative pump power vector, and a cyclic pump