{"title":"Delay-based reservoir computing for signal recovery in optical communication systems","authors":"Yunfan Zhang , Tiegen Liu , Jian Zhao , Tianhua Xu","doi":"10.1016/j.yofte.2025.104395","DOIUrl":null,"url":null,"abstract":"<div><div>Over the past few years, reservoir computing (RC) has garnered significant attention, with delay-based RC being proposed as a promising paradigm for realizing RC networks in hardware. In this paper, we have implemented and evaluated two major RC methods: one based on a Mach–Zehnder modulator and the other on a semiconductor laser with external injection and optical feedback. We conducted investigations to evaluate the capabilities of these methods in performing signal recovery tasks in an optical transmission system, which was also numerically simulated for various transmission scenarios. Specifically, the neighboring symbol pattern technique was introduced to enhance the chromatic dispersion compensation ability of these two RC methods. The results indicate that, despite their differing advantages, both methods can perform as well as classic digital signal processing (DSP) techniques, even for high modulation formats such as 16QAM, 64QAM, and 256QAM. This demonstrates their great potential as alternatives to traditional DSP approaches.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"95 ","pages":"Article 104395"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520025002706","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Over the past few years, reservoir computing (RC) has garnered significant attention, with delay-based RC being proposed as a promising paradigm for realizing RC networks in hardware. In this paper, we have implemented and evaluated two major RC methods: one based on a Mach–Zehnder modulator and the other on a semiconductor laser with external injection and optical feedback. We conducted investigations to evaluate the capabilities of these methods in performing signal recovery tasks in an optical transmission system, which was also numerically simulated for various transmission scenarios. Specifically, the neighboring symbol pattern technique was introduced to enhance the chromatic dispersion compensation ability of these two RC methods. The results indicate that, despite their differing advantages, both methods can perform as well as classic digital signal processing (DSP) techniques, even for high modulation formats such as 16QAM, 64QAM, and 256QAM. This demonstrates their great potential as alternatives to traditional DSP approaches.
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.