On the design of LDPC-based Raptor codes for single carrier Internet of Things (SC-IoT)

Nur Kamila, K. Anwar
{"title":"On the design of LDPC-based Raptor codes for single carrier Internet of Things (SC-IoT)","authors":"Nur Kamila, K. Anwar","doi":"10.1109/ICSIGSYS.2017.7967024","DOIUrl":null,"url":null,"abstract":"In this paper, we propose new Raptor codes suitable for uplink Internet of Things using single carrier transmission technique (SC-IoT) with low density parity check (LDPC) codes as the precode, called LDPC-Raptor codes. The utilization of LDPC as the precode is to guarantee high capability of error correction for better Raptor codes performance while keeping the computational complexity low. Raptor Codes are preferable for SC-IoT because of their flexibility with both fixed/non-fixed rate (rateless) and simplicity in decoding. The LDPC-Raptor codes is designed (sub)-optimally using Extrinsic Information Transfer (EXIT) chart to meet requirements of SC-IoT. We evaluate the performance of the proposed LDPC-Raptor codes to achieve the Shannon capacity over Binary Erasure Channels (BEC)-based equivalent additive white Gaussian noise (AWGN) and frequency-flat Rayleigh fading and show that LDPC-Raptor codes provide significant contributions than Luby Transform (LT) codes for SC-IoT.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Signals and Systems (ICSigSys)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIGSYS.2017.7967024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In this paper, we propose new Raptor codes suitable for uplink Internet of Things using single carrier transmission technique (SC-IoT) with low density parity check (LDPC) codes as the precode, called LDPC-Raptor codes. The utilization of LDPC as the precode is to guarantee high capability of error correction for better Raptor codes performance while keeping the computational complexity low. Raptor Codes are preferable for SC-IoT because of their flexibility with both fixed/non-fixed rate (rateless) and simplicity in decoding. The LDPC-Raptor codes is designed (sub)-optimally using Extrinsic Information Transfer (EXIT) chart to meet requirements of SC-IoT. We evaluate the performance of the proposed LDPC-Raptor codes to achieve the Shannon capacity over Binary Erasure Channels (BEC)-based equivalent additive white Gaussian noise (AWGN) and frequency-flat Rayleigh fading and show that LDPC-Raptor codes provide significant contributions than Luby Transform (LT) codes for SC-IoT.
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
基于ldpc的单载波物联网(SC-IoT) Raptor代码设计
本文以低密度奇偶校验(LDPC)码为预码,提出了一种适用于上行物联网的新型Raptor码,该码采用单载波传输技术(SC-IoT),称为LDPC-Raptor码。利用LDPC作为预码是为了保证高的纠错能力,以获得更好的Raptor码性能,同时保持较低的计算复杂度。猛禽码更适合SC-IoT,因为它们具有固定/非固定速率(无速率)的灵活性和解码的简单性。LDPC-Raptor代码采用外部信息传输(EXIT)图进行优化设计,以满足SC-IoT的要求。我们评估了所提出的LDPC-Raptor代码在基于二进制Erasure信道(BEC)的等效加性高斯白噪声(AWGN)和频率平坦瑞利衰落上实现香农容量的性能,并表明LDPC-Raptor代码比Luby变换(LT)代码对SC-IoT的贡献更大。
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
Modeling of massive MIMO transceiver antenna for full-duplex single-channel system (in case of self interference effect) The development of IoT LoRa: A performance evaluation on LoS and Non-LoS environment at 915 MHz ISM frequency On the design of LDPC-based Raptor codes for single carrier Internet of Things (SC-IoT) Benchmark data set for glaucoma detection with annotated cup to disc ratio Design of LDGM-based Raptor Codes for broadband Internet of Things using EXIT chart
×
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