Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices
The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. Designing the optimal wirele...
Main Author: | Peng, Danilo |
---|---|
Format: | Others |
Language: | English |
Published: |
KTH, Matematisk statistik
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252314 |
Similar Items
-
A Literature Study Concerning Generalization Error Bounds for Neural Networks via Rademacher Complexity
by: Nordenfors, Oskar
Published: (2021) -
Predicting Purchase of Airline Seating Using Machine Learning
by: El-Hage, Sebastian
Published: (2020) -
Customer Churn Analysis and Prediction using Machine Learning for a B2B SaaS company
by: Sergue, Marie
Published: (2020) -
Annulation d’interférence et filtre sur réplique
by: Maoudj, Rabah
Published: (2015) -
Sales Volume Forecasting of Ericsson Radio Units - A Statistical Learning Approach
by: Amethier, Patrik, et al.
Published: (2020)