Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/339332
Title: Channel Estimation Framework for Mu Ma Mimo Technology
Researcher: Jeya R
Guide(s): Amutha B
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: SRM University
Completed Date: 2021
Abstract: The requirements of 5G have been considered in defining the Objectives of the dissertation in a Massive scenario. Meeting Low Latency, High Data rate, Low power Consumption, Optimal resource allocation by desiring appropriate methods is the motto of this research. In turn, this research aims in bringing out the user density based on, within cell Quality of service parameters by experimenting with the Wireless Channel. When increasing the number of input and output antennas of the transceiver, the number of channels will increase. When the number of channels increases, the timestamp at which the signal received must be analyzed upon its QoS parameters newline
Pagination: 
URI: http://hdl.handle.net/10603/339332
Appears in Departments:Department of Computer Science Engineering

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certificate page.pdf439.46 kBAdobe PDFView/Open
chapter 1.pdf1.02 MBAdobe PDFView/Open
chapter 2.pdf796.67 kBAdobe PDFView/Open
chapter 3.pdf570.29 kBAdobe PDFView/Open
chapter 4.pdf537.93 kBAdobe PDFView/Open
chapter 5.pdf445.42 kBAdobe PDFView/Open
chapter 6.pdf917.69 kBAdobe PDFView/Open
chapter 7.pdf145.87 kBAdobe PDFView/Open
curriculum vitae.pdf20.6 kBAdobe PDFView/Open
list of publications.pdf243.78 kBAdobe PDFView/Open
preliminary page.pdf516.27 kBAdobe PDFView/Open
references.pdf435.53 kBAdobe PDFView/Open
title page.pdf221.6 kBAdobe PDFView/Open
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