The DNN-based DBP scheme for nonlinear compensation and longitudinal monitoring of optical fiber links

IF 7.5 2区 计算机科学 Q1 TELECOMMUNICATIONS Digital Communications and Networks Pub Date : 2025-02-01 DOI:10.1016/j.dcan.2022.12.020
Feiyu Li , Xian Zhou , Yuyuan Gao , Jiahao Huo , Rui Li , Keping Long
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Abstract

In this paper, a double-effect DNN-based Digital Back-Propagation (DBP) scheme is proposed and studied to achieve the Integrated Communication and Sensing (ICS) ability, which can not only realize nonlinear damage mitigation but also monitor the optical power and dispersion profile over multi-span links. The link status information can be extracted by the characteristics of the learned optical fiber parameters without any other measuring instruments. The efficiency and feasibility of this method have been investigated in different fiber link conditions, including various launch power, transmission distance, and the location and the amount of the abnormal losses. A good monitoring performance can be obtained while the launch optical power is 2 dBm which does not affect the normal operation of the optical communication system and the step size of DBP is 20 km which can provide a better distance resolution. This scheme successfully detects the location of single or multiple optical attenuators in long-distance multi-span fiber links, including different abnormal losses of 2 ​dB, 4 ​dB, and 6 ​dB in 360 ​km and serval combinations of abnormal losses of (1 ​dB, 5 ​dB), (3 ​dB, 3 ​dB), (5 ​dB, 1 ​dB) in 360 ​km and 760 ​km. Meanwhile, the transfer relationship of the estimated coefficient values with different step sizes is further investigated to reduce the complexity of the fiber nonlinear damage compensation. These results provide an attractive approach for precisely sensing the optical fiber link status information and making correct strategies timely to ensure optical communication system operations.
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基于DNN的DBP光纤链路非线性补偿和纵向监测方案
本文提出并研究了一种基于双效应深度神经网络的数字反向传播(DBP)方案,该方案不仅可以实现非线性损伤缓解,还可以监测多跨链路上的光功率和色散分布。在不使用其他测量仪器的情况下,可以根据学习到的光纤参数的特性提取链路状态信息。在不同的光纤链路条件下,包括不同的发射功率、传输距离、异常损耗的位置和数量,研究了该方法的效率和可行性。当发射光功率为2 dBm时,在不影响光通信系统正常工作的情况下,在DBP步长为20 km时,可以获得较好的监测性能,可以提供较好的距离分辨率。该方案成功地检测了长距离多跨光纤链路中单个或多个光衰减器的位置,包括360公里范围内2 dB、4 dB和6 dB的不同异常损耗,以及360公里和760公里范围内(1 dB、5 dB)、(3 dB、3 dB)、(5 dB、1 dB)的几种异常损耗组合。同时,进一步研究了估计系数值在不同步长下的传递关系,以降低光纤非线性损伤补偿的复杂性。这些结果为精确感知光纤链路状态信息,及时制定正确的策略,保证光通信系统的正常运行提供了一种有吸引力的方法。
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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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