Frequency Synchronization in Frequency Domain OFDM-IM based WLAN Systems

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Communications Software and Systems Pub Date : 2023-01-01 DOI:10.24138/jcomss-2023-0052
Lalitha H, Navin Kumar
{"title":"Frequency Synchronization in Frequency Domain OFDM-IM based WLAN Systems","authors":"Lalitha H, Navin Kumar","doi":"10.24138/jcomss-2023-0052","DOIUrl":null,"url":null,"abstract":"— The next-generation of wireless local area network systems are being conceptualized with new applications, smart devices and use cases which mandate unprecedented levels of high data rates, spectral efficiency, reliability, low latency and high energy efficiency. The index modulated orthogonal frequency division multiplexing (OFDM-IM) stands out as the most endearing candidate for physical layer modulation technique which provides a smooth transit to green communications. However, OFDM-IM being a multicarrier technique similar to classical OFDM is also very sensitive to frequency synchronization errors and needs to be addressed on priority. In this article, a novel algorithm is proposed which estimates and corrects the carrier frequency offset at the receiver and the algorithm’s performance is compared with two frequency domain variants of OFDM-IM and the classical OFDM under the same channel conditions and the simulation results show that our algorithm is not only capable of meeting the standard requirement of ±20ppm but can handle higher offsets till ±30ppm.","PeriodicalId":38910,"journal":{"name":"Journal of Communications Software and Systems","volume":"1 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communications Software and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24138/jcomss-2023-0052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

— The next-generation of wireless local area network systems are being conceptualized with new applications, smart devices and use cases which mandate unprecedented levels of high data rates, spectral efficiency, reliability, low latency and high energy efficiency. The index modulated orthogonal frequency division multiplexing (OFDM-IM) stands out as the most endearing candidate for physical layer modulation technique which provides a smooth transit to green communications. However, OFDM-IM being a multicarrier technique similar to classical OFDM is also very sensitive to frequency synchronization errors and needs to be addressed on priority. In this article, a novel algorithm is proposed which estimates and corrects the carrier frequency offset at the receiver and the algorithm’s performance is compared with two frequency domain variants of OFDM-IM and the classical OFDM under the same channel conditions and the simulation results show that our algorithm is not only capable of meeting the standard requirement of ±20ppm but can handle higher offsets till ±30ppm.
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
基于频域OFDM-IM的WLAN系统的频率同步
-下一代无线局域网系统正在通过新的应用程序、智能设备和用例进行概念化,这些应用程序要求前所未有的高数据速率、频谱效率、可靠性、低延迟和高能效。索引调制正交频分复用(OFDM-IM)是物理层调制技术中最受欢迎的候选技术,它提供了向绿色通信的平滑过渡。然而,OFDM- im作为一种与经典OFDM类似的多载波技术,对频率同步误差也非常敏感,需要优先解决。本文提出了一种估计和校正接收机载波频偏的新算法,并将该算法与OFDM- im和经典OFDM两种频域变体在相同信道条件下的性能进行了比较,仿真结果表明,该算法不仅能够满足±20ppm的标准要求,而且可以处理±30ppm的更高频偏。
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
Journal of Communications Software and Systems
Journal of Communications Software and Systems Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
14.30%
发文量
28
审稿时长
8 weeks
期刊最新文献
Assessment of Transmitted Power Density in the Planar Multilayer Tissue Model due to Radiation from Dipole Antenna Signature-based Tree for Finding Frequent Itemsets Friendy: A Deep Learning based Framework for Assisting in Young Autistic Children Psychotherapy Interventions Ensemble of Local Texture Descriptor for Accurate Breast Cancer Detection from Histopathologic Images Comparison of Similarity Measures for Trajectory Clustering - Aviation Use Case
×
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