Raised Cosine Multicore Fibers For High-Density Space Division Multiplexing (H-DSDM) Systems

Alaaeddine Rjeb, Hussein E. Seleem, A. Ragheb, H. Fathallah, M. Esmail, M. Machhout, S. Alshebeili
{"title":"Raised Cosine Multicore Fibers For High-Density Space Division Multiplexing (H-DSDM) Systems","authors":"Alaaeddine Rjeb, Hussein E. Seleem, A. Ragheb, H. Fathallah, M. Esmail, M. Machhout, S. Alshebeili","doi":"10.1109/DTS55284.2022.9809851","DOIUrl":null,"url":null,"abstract":"Space division multiplexing (SDM) over multicore few mode fibers (MC-FMFs) is considered among the latest technological drive towards high data rates in next generation optical communication systems. In this paper, we propose and design novel (MC-FMFs) that we refer to as raised cosine multicore fibers MC-RCFs and Trenched-raised cosine multicore Fibers (MC-TRCFs). the designed MCFs has seven cores each of which supports seven orthogonal spatial modes with large effective mode area (min AeJ J =96μm2) and with low differential mode delay (DMD) (max DMD =33 ps\\\\\\\\\\\\\\\\km). The intercore crosstalk of each designed fiber and their associated relative core multiplicity factor (RCMF) are assessed, discussed and compared with recently reported MCFs. The designed fibers are promising candidates for next generation short and medium haul interconnect dense-SDM systems.","PeriodicalId":290904,"journal":{"name":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTS55284.2022.9809851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Space division multiplexing (SDM) over multicore few mode fibers (MC-FMFs) is considered among the latest technological drive towards high data rates in next generation optical communication systems. In this paper, we propose and design novel (MC-FMFs) that we refer to as raised cosine multicore fibers MC-RCFs and Trenched-raised cosine multicore Fibers (MC-TRCFs). the designed MCFs has seven cores each of which supports seven orthogonal spatial modes with large effective mode area (min AeJ J =96μm2) and with low differential mode delay (DMD) (max DMD =33 ps\\\\\\\\km). The intercore crosstalk of each designed fiber and their associated relative core multiplicity factor (RCMF) are assessed, discussed and compared with recently reported MCFs. The designed fibers are promising candidates for next generation short and medium haul interconnect dense-SDM systems.
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
用于高密度空分复用(H-DSDM)系统的高余弦多芯光纤
在多核少模光纤(MC-FMFs)上的空分复用(SDM)被认为是下一代光通信系统中实现高数据速率的最新技术之一。在本文中,我们提出并设计了新型(mc - fmf),我们将其称为凸起余弦多芯纤维mc - rfc和沟槽凸起余弦多芯纤维mc - trcf。设计的mcf具有7个核心,每个核心支持7个正交空间模式,有效模面积大(最小AeJ J =96μm2),差分模延迟(DMD)低(最大DMD =33 ps\\\\\\\\km)。对每条设计光纤的芯间串扰及其相关的相对芯多重系数(RCMF)进行了评估、讨论,并与最近报道的芯间多重系数进行了比较。所设计的光纤是下一代中短途互连密集sdm系统的有希望的候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Accurate Real-Time Face Mask Detection Framework Using YOLOv5 Olive Leaf Disease Identification Framework using Inception V3 Deep Learning BPA detection nanoplatforms: toward an eco-friendly and cost-effective strategy An Overview of Machine Learning Applications in Hardware Security VVC intra prediction decoder: Feature improvement and performance analysis
×
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