Grey Wolf Optimization based BICMB-OFDM for millimeter wave Massive MIMO systems

J. Friska, M. N. Jenefa
{"title":"Grey Wolf Optimization based BICMB-OFDM for millimeter wave Massive MIMO systems","authors":"J. Friska, M. N. Jenefa","doi":"10.1109/ICSCDS53736.2022.9760802","DOIUrl":null,"url":null,"abstract":"Wireless Communication are engaged with large number of antennas for attaining satisfactory data rate. Millimeter Wave Massive Multiple- Input and Multiple-Output (MIMO) has been implemented in Orthogonal Frequency Division Multiplexing (OFDM) in order to achieve the data rate and to enhance the Signal to Noise Ratio (SNR). With the increase in large number of antennas, the systems Spectral efficiency and Energy efficiency are deteriorated, and for an OFDM Massive MIMO various subcarriers are diverse in time and frequency domains. So as to deal with this issue, dynamic channel estimation is very much desired. If Spectral and Energy efficiencies are in good performance, then diversity gain will be achieved. In this paper, the best channel is evaluated by using the suggested system Grey Wolf Optimization (GWO) and by utilizing BICMB - OFDM in an mm-wave massive MIMO systems.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDS53736.2022.9760802","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

Wireless Communication are engaged with large number of antennas for attaining satisfactory data rate. Millimeter Wave Massive Multiple- Input and Multiple-Output (MIMO) has been implemented in Orthogonal Frequency Division Multiplexing (OFDM) in order to achieve the data rate and to enhance the Signal to Noise Ratio (SNR). With the increase in large number of antennas, the systems Spectral efficiency and Energy efficiency are deteriorated, and for an OFDM Massive MIMO various subcarriers are diverse in time and frequency domains. So as to deal with this issue, dynamic channel estimation is very much desired. If Spectral and Energy efficiencies are in good performance, then diversity gain will be achieved. In this paper, the best channel is evaluated by using the suggested system Grey Wolf Optimization (GWO) and by utilizing BICMB - OFDM in an mm-wave massive MIMO systems.
基于灰狼优化的BICMB-OFDM毫米波海量MIMO系统
为了获得满意的数据速率,无线通信采用了大量的天线。在正交频分复用(OFDM)中实现了毫米波大规模多输入多输出(MIMO),以实现数据速率和提高信噪比。随着天线数量的增加,系统的频谱效率和能量效率不断下降,并且对于OFDM大规模MIMO系统,其子载波在时域和频域上存在差异。为了解决这个问题,动态信道估计是非常必要的。如果频谱效率和能量效率表现良好,那么将实现分集增益。本文在毫米波大规模MIMO系统中,采用提出的灰狼优化算法和BICMB - OFDM对最佳信道进行了评估。
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
自引率
0.00%
发文量
0
×
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