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dc.contributor.advisorLiu, Lingjia
dc.contributor.authorShafin, Rubayet
dc.date.accessioned2019-04-19T20:43:40Z
dc.date.available2019-04-19T20:43:40Z
dc.date.issued2017-05-31
dc.date.submitted2017
dc.identifier.otherhttp://dissertations.umi.com/ku:15226
dc.identifier.urihttp://hdl.handle.net/1808/27756
dc.description.abstractWith the promise of meeting future capacity demands for mobile broadband communications, 3D massive-MIMO/Full Dimension MIMO (FD-MIMO) systems have gained much interest among the researchers in recent years. Apart from the huge spectral efficiency gain offered by the system, the reason for this great interest can also be attributed to significant reduction of latency, simplified multiple access layer, and robustness to interference. However, in order to completely extract the benefits of massive-MIMO systems, accurate channel state information is very critical. In this paper, a channel estimation method based on direction of arrival (DoA) estimation is presented for massive-MIMO OFDM systems. To be specific, the DoA is estimated using Estimation of Signal Parameter via Rotational Invariance Technique (ESPRIT) method, and the root mean square error (RMSE) of the DoA estimation is analytically characterized for the corresponding MIMO-OFDM system.
dc.format.extent42 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectElectrical engineering
dc.subjectChannel Estimation
dc.subjectDoA Estimation through ESPRIT
dc.subjectMassive MIMO Antenna
dc.subjectMassive MIMO/FD-MIMO
dc.titlePerformance Analysis of Parametric Channel Estimation for 3D Massive MIMO/FD-MIMO OFDM Systems.
dc.typeThesis
dc.contributor.cmtememberPerrins, Erik
dc.contributor.cmtememberYi, Yang
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelM.S.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


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