{"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.