Effect of active sub-carriers' Number on OFDM-IM systems and numerical optimization

L. Liu, Kaina Zhang
{"title":"Effect of active sub-carriers' Number on OFDM-IM systems and numerical optimization","authors":"L. Liu, Kaina Zhang","doi":"10.1117/12.2640507","DOIUrl":null,"url":null,"abstract":"This paper builds an OFDM-IM simulation system, analyzes the system bit error rate (BER) and the system signal-to-noise ratio (SNR) changes under different activated sub-carrier values. The conclusion is that when only BER is considered, activating a small number of sub-carriers will get better results. Then it analyzes the change rule of the optimal solution number of activated sub-carriers with the total number of sub-carriers, and obtains a general mathematical formula description, and combines relevant data such as the proportion of the optimal number of activated sub-carriers, and the theoretical transmission speed optimization rate, Compared with the OFDM system, the conclusion is that when the subcarriers carry more information, the addition of the IM system does not significantly improve the performance of the system, but increases the complexity of calculation and coding. In the above case, the optimal number of activated subcarriers is almost equivalent to the total number of sub-carriers, so adding IM modulation at this time does not make much sense.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks, Information and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2640507","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

This paper builds an OFDM-IM simulation system, analyzes the system bit error rate (BER) and the system signal-to-noise ratio (SNR) changes under different activated sub-carrier values. The conclusion is that when only BER is considered, activating a small number of sub-carriers will get better results. Then it analyzes the change rule of the optimal solution number of activated sub-carriers with the total number of sub-carriers, and obtains a general mathematical formula description, and combines relevant data such as the proportion of the optimal number of activated sub-carriers, and the theoretical transmission speed optimization rate, Compared with the OFDM system, the conclusion is that when the subcarriers carry more information, the addition of the IM system does not significantly improve the performance of the system, but increases the complexity of calculation and coding. In the above case, the optimal number of activated subcarriers is almost equivalent to the total number of sub-carriers, so adding IM modulation at this time does not make much sense.
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
有源子载波数对OFDM-IM系统的影响及数值优化
本文构建了OFDM-IM仿真系统,分析了不同激活子载波值下系统误码率(BER)和信噪比(SNR)的变化。得出的结论是,当只考虑误码时,激活少量的子载波会获得更好的效果。然后分析了激活子载波的最优解数随子载波总数的变化规律,得到了一个通用的数学公式描述,并结合最优激活子载波数占比、理论传输速度优化率等相关数据,与OFDM系统进行比较,得出当子载波携带更多信息时,IM系统的加入并没有显著提高系统的性能,反而增加了计算和编码的复杂度。在上述情况下,激活子载波的最优数量几乎等于子载波的总数,因此此时添加IM调制没有太大意义。
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
Improve vulnerability prediction performance using self-attention mechanism and convolutional neural network Design of digital pulse-position modulation system based on minimum distance method Design of an externally adjustable oscillator circuit Research on non-intrusive video capture technology based on FPD-linkⅢ The communication process of digital binary pulse-position modulation with additive white Gaussian noise
×
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