基于 ANN/随机森林的高速短程光互连性能监测

IF 2.6 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology Pub Date : 2024-08-13 DOI:10.1016/j.yofte.2024.103941

Jian Zhao , Zihao Su , Yuqing Yang , Tianhua Xu

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引用次数: 0

摘要

在这项工作中，我们开发了 100/400 Gbit/s 短距离传输系统中的信号质量监测方法，并应用了四种先进的调制格式。研究表明，在 100G 和 400G 传输系统中，使用随机森林（RF）和基于多任务学习的人工神经网络（MTL-ANN）对上述四种调制格式进行调制格式识别（MFI），准确率达到 100%。同时，监测到的光信噪比（OSNR）的平均均方误差（MSE）小于 0.1 dB。随机森林最多使用 29 个加法器和 190 个比较器，与 MTL-ANN 相比，复杂度降低了两个数量级。

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ANN/Random forest based performance monitoring in high-speed short-reach optical interconnections

In this work, we have developed signal quality monitoring approaches in 100/400 Gbit/s short-reach transmission systems, with the application of four advanced modulation formats. In 100G and 400G transmission systems, it is shown that accuracies of 100 % have been achieved in the modulation format identification (MFI), with the use of random forest (RF) and multitask learning-based artificial neural network (MTL-ANN) for the four modulation formats mentioned. Meanwhile, average mean-square errors (MSEs) of the monitored optical signal-to-noise ratio (OSNRs) are less than 0.1 dB. Random forest uses up to 29 adders and 190 comparators, reducing its complexity by two orders of magnitude compared to MTL-ANN.

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来源期刊

Optical Fiber Technology 工程技术-电信学

CiteScore

4.80

自引率

11.10%

发文量

327

审稿时长

63 days

期刊介绍： Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.