Optimized MIMO Based Enhanced OFDM for Multi Carrier System with 5G Waveforms

IF 1.4 4区 经济学 Q3 ECONOMICS
K. Manoj, Patidar Manish, S. Narendra
{"title":"Optimized MIMO Based Enhanced OFDM for Multi Carrier System with 5G Waveforms","authors":"K. Manoj, Patidar Manish, S. Narendra","doi":"10.24818/18423264/57.2.23.17","DOIUrl":null,"url":null,"abstract":". Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Computation and Economic Cybernetics Studies and Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.24818/18423264/57.2.23.17","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

. Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.
基于优化MIMO的增强型OFDM 5G多载波系统
正交频分复用(OFDM)是一种多载波调制技术,其在单个信道内使用多个子载波来拓宽单个子载波调制的概念。由于其高功率传输,上述方法产生带外辐射。因此,提出了一种新的基于MIMO的增强型OFDM通信系统模型。其中随机数据比特由使用QPSK映射的随机数据源生成。此外,为了减轻MIMO-OFDM中的载波干扰,提出了一种新的多载波干扰抑制方法。其中进行傅立叶、ICI估计以将信号分离为时间和频率变量。因此,创建了一种新的具有两个连续层的深度频率-时间偏移估计方法,并使用深度神经网络(DNN)来估计残余载波频率偏移和符号定时偏移。这减少了时间和频率偏移的不准确性。此外,为了缓解带外问题,提出了一种新的低复均衡解调方法。其中,在添加CP之后执行扩展加窗过程,显著降低旁瓣功率并简化过程。因此,所提出的OFDM对所有信号进行载波,并以有效和均衡的方式以低带外载波频率偏移进行发送和接收,而没有任何误差和损失。
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 求助全文
来源期刊
Economic Computation and Economic Cybernetics Studies and Research
Economic Computation and Economic Cybernetics Studies and Research MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.80
自引率
22.20%
发文量
60
审稿时长
>12 weeks
期刊介绍: ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems. Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信