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 |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 357.17 kB | Adobe PDF | View/Open |
certificate page.pdf | 439.46 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.02 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 796.67 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 570.29 kB | Adobe PDF | View/Open | |
chapter 4.pdf | 537.93 kB | Adobe PDF | View/Open | |
chapter 5.pdf | 445.42 kB | Adobe PDF | View/Open | |
chapter 6.pdf | 917.69 kB | Adobe PDF | View/Open | |
chapter 7.pdf | 145.87 kB | Adobe PDF | View/Open | |
curriculum vitae.pdf | 20.6 kB | Adobe PDF | View/Open | |
list of publications.pdf | 243.78 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 516.27 kB | Adobe PDF | View/Open | |
references.pdf | 435.53 kB | Adobe PDF | View/Open | |
title page.pdf | 221.6 kB | Adobe PDF | View/Open |
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