Data collection in 5G physical layer for machine learning
No Thumbnail Available
URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
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, OlavThesis advisor
Medeiros, LuizKeywords
5G, physical layer, data collection, channel estimation, digital communication, base station receiver