Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/22028
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAli, Reham Abdelrazek-
dc.contributor.authorSupervisor, -Ibrahim Khider-
dc.date.accessioned2018-12-11T12:03:51Z-
dc.date.available2018-12-11T12:03:51Z-
dc.date.issued2018-07-05-
dc.identifier.citationAli, Reham Abdelrazek . Performance analysis of Massive MIMO for LTE-Advanced \ Reham Abdelrazek Ali ; Ibrahim Khider .- Khartoum: Sudan University of Science and Technology, College of Engineering, 2018 .-45 p. :ill. ;28cm .- M.Scen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/22028-
dc.descriptionThesisen_US
dc.description.abstractMassive MIMO is a promising technique to increase the energy efficiency of cellular network, by deploying hundreds or thousands of antennas at the base station (BS) to perform coherence transceiver processing. Thisthesis focusing into study, analyze the performance of massive MIMO for maximal energy efficiency. All this accomplished by using MATLAB software program which simulate the performance of massive MIMO by using ZF and MRC processingen_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectEngineeringen_US
dc.subjectElectrical Engineeringen_US
dc.subjectPerformance analysisen_US
dc.subjectMassive MIMOen_US
dc.titlePerformance analysis of Massive MIMO for LTE-Advanceden_US
dc.title.alternativeتحلیل اداء نظم الدخل و الخرج المتعددة الھوائیة الضخمة في التطور طويل الامد المتقدمen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

Files in This Item:
File Description SizeFormat 
Performance analysis of ....pdfTitle186.53 kBAdobe PDFView/Open
ch 1.pdfChapter25.95 kBAdobe PDFView/Open
ch 2.pdfChapter161.49 kBAdobe PDFView/Open
ch 3.pdfChapter280.07 kBAdobe PDFView/Open
ch 4.pdfChapter1.36 MBAdobe PDFView/Open
ch 5.pdfChapter47.54 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.