相干光学系统16-QAM解调的KNN、k-Means和模糊c-Means

Alejandro Escobar Pérez, J. J. Granada Torres
{"title":"相干光学系统16-QAM解调的KNN、k-Means和模糊c-Means","authors":"Alejandro Escobar Pérez, J. J. Granada Torres","doi":"10.1109/ColComCon.2019.8809116","DOIUrl":null,"url":null,"abstract":"In this paper, Machine Learning (ML) techniques such as k-Nearest Neighbors (KNN), k-Means and Fuzzy c-Means (FCM) are implemented in coherent optical system with DSP-based receiver. Nyquist single carrier optical transmission at 32 Gbaud is simulated in VPIDesignSuite Software in co-simulation with Matlab. Simulations results shows gains up to 1 dB and 2 dB using ML techniques at 50 km of optical link with 100 kHz and 25 kHz of laser linewidth, respectively. Besides, it is demonstrated that ML techniques can be effectively used as a nonsymmetrical demodulation (NSD) method.","PeriodicalId":447783,"journal":{"name":"2019 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"KNN, k-Means and Fuzzy c-Means for 16-QAM Demodulation in Coherent Optical Systems\",\"authors\":\"Alejandro Escobar Pérez, J. J. Granada Torres\",\"doi\":\"10.1109/ColComCon.2019.8809116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, Machine Learning (ML) techniques such as k-Nearest Neighbors (KNN), k-Means and Fuzzy c-Means (FCM) are implemented in coherent optical system with DSP-based receiver. Nyquist single carrier optical transmission at 32 Gbaud is simulated in VPIDesignSuite Software in co-simulation with Matlab. Simulations results shows gains up to 1 dB and 2 dB using ML techniques at 50 km of optical link with 100 kHz and 25 kHz of laser linewidth, respectively. Besides, it is demonstrated that ML techniques can be effectively used as a nonsymmetrical demodulation (NSD) method.\",\"PeriodicalId\":447783,\"journal\":{\"name\":\"2019 IEEE Colombian Conference on Communications and Computing (COLCOM)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Colombian Conference on Communications and Computing (COLCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ColComCon.2019.8809116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Colombian Conference on Communications and Computing (COLCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ColComCon.2019.8809116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文将k-最近邻(KNN)、k-均值(k-Means)和模糊c-均值(FCM)等机器学习技术应用于基于dsp的相干光学系统中。在VPIDesignSuite软件中与Matlab联合仿真,模拟了32 Gbaud下的奈奎斯特单载波光传输。仿真结果表明,在激光线宽为100 kHz和25 kHz的50 km光链路上,使用ML技术分别获得了1 dB和2 dB的增益。此外,还证明了机器学习技术可以有效地用作非对称解调(NSD)方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
KNN, k-Means and Fuzzy c-Means for 16-QAM Demodulation in Coherent Optical Systems
In this paper, Machine Learning (ML) techniques such as k-Nearest Neighbors (KNN), k-Means and Fuzzy c-Means (FCM) are implemented in coherent optical system with DSP-based receiver. Nyquist single carrier optical transmission at 32 Gbaud is simulated in VPIDesignSuite Software in co-simulation with Matlab. Simulations results shows gains up to 1 dB and 2 dB using ML techniques at 50 km of optical link with 100 kHz and 25 kHz of laser linewidth, respectively. Besides, it is demonstrated that ML techniques can be effectively used as a nonsymmetrical demodulation (NSD) method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On the Bit Error Rate of OFDMA Employing Short Cyclic Prefix and Maximal Ratio Combining KNN, k-Means and Fuzzy c-Means for 16-QAM Demodulation in Coherent Optical Systems Development of an IR system as an alternative for VLC uplink An educational environment based on stuffed toy robots, mobile apps, and expert systems to provide support in the early development of children MC-CDMA and SCMA Performance and Complexity Comparison in Overloaded Scenarios
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1