Hybrid POF/VLC link with M-PAM and MLP equaliser

I. Osahon, E. Pikasis, S. Rajbhandari, W. Popoola
{"title":"Hybrid POF/VLC link with M-PAM and MLP equaliser","authors":"I. Osahon, E. Pikasis, S. Rajbhandari, W. Popoola","doi":"10.1109/ICC.2017.7996426","DOIUrl":null,"url":null,"abstract":"We propose and experimentally demonstrate for the first time, M-PAM transmission through a hybrid POF/VLC downlink using off-the-shelf components. The link consists of 60 m SI-POF and 1 m VLC and with the aid of a blue filter, the link has an effective bandwidth of 17 MHz. Conventional adaptive decision feedback equaliser (DFE) and multi-layer perceptron DFE (MLP-DFE) are also implemented and their bit error rate (BER) performances are measured and compared with offline (MATLAB) implementation. For the conventional DFE, the achievable data rates at a BER of 10−3 are 60, 91.5 and 80 Mbps for M = 2, 4 and 8 respectively. Higher data rates are achieved for MLP-DFE at the same BER of 10−3 as we obtained 61.5, 95 and 85 Mbps for M = 2, 4 and 8 respectively. Thus, we show that MLP-DFE offers superior BER performance than conventional DFE for higher PAM level.","PeriodicalId":6517,"journal":{"name":"2017 IEEE International Conference on Communications (ICC)","volume":"22 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2017.7996426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

We propose and experimentally demonstrate for the first time, M-PAM transmission through a hybrid POF/VLC downlink using off-the-shelf components. The link consists of 60 m SI-POF and 1 m VLC and with the aid of a blue filter, the link has an effective bandwidth of 17 MHz. Conventional adaptive decision feedback equaliser (DFE) and multi-layer perceptron DFE (MLP-DFE) are also implemented and their bit error rate (BER) performances are measured and compared with offline (MATLAB) implementation. For the conventional DFE, the achievable data rates at a BER of 10−3 are 60, 91.5 and 80 Mbps for M = 2, 4 and 8 respectively. Higher data rates are achieved for MLP-DFE at the same BER of 10−3 as we obtained 61.5, 95 and 85 Mbps for M = 2, 4 and 8 respectively. Thus, we show that MLP-DFE offers superior BER performance than conventional DFE for higher PAM level.
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
混合POF/VLC链接与M-PAM和MLP均衡器
我们首次提出并实验证明了M-PAM通过使用现成组件的混合POF/VLC下行链路传输。该链路由60 m SI-POF和1 m VLC组成,在蓝色滤波器的帮助下,链路的有效带宽为17 MHz。实现了传统的自适应决策反馈均衡器(DFE)和多层感知器(MLP-DFE),并测量了它们的误码率(BER)性能,并与离线(MATLAB)实现进行了比较。对于传统DFE,当M = 2、4和8时,在BER为10−3时可实现的数据速率分别为60、91.5和80 Mbps。与M = 2、4和8时分别获得的61.5、95和85 Mbps相比,在相同BER为10−3的情况下,MLP-DFE获得了更高的数据速率。因此,我们发现MLP-DFE在更高的PAM水平下比传统DFE具有更好的BER性能。
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
Dynamic control of NFV forwarding graphs with end-to-end deadline constraints New sensing technique for detecting application layer DDoS attacks targeting back-end database resources Using the pattern-of-life in networks to improve the effectiveness of intrusion detection systems On the two time scale characteristics of wireless high speed railway networks Secrecy outage analysis of buffer-aided multi-antenna relay systems without eavesdropper's CSI
×
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