Data collection in 5G physical layer for machine learning

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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Master's thesis
Date
2023-03-20
Department
Major/Subject
Control, robotics and autonomous systems
Mcode
ELEC3025
Degree programme
AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)
Language
en
Pages
51+1
Series
Description
Supervisor
Tirkkonen, Olav
Thesis advisor
Medeiros, Luiz
Keywords
5G, physical layer, data collection, channel estimation, digital communication, base station receiver
Other note
Citation