Name
Abstract | ||
|---|---|---|
Channel charting is a data-driven baseband processing technique consisting in applying self-supervised machine learning techniques to channel state information (CSI), with the objective of reducing the dimension of the data and extracting the fundamental parameters governing its distribution. We introduce a novel channel charting approach based on triplets of samples. The proposed algorithm learns... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAC.2021.3087251 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Dimensionality reduction,Measurement,Antenna arrays,Feature extraction,Neural networks,Euclidean distance,Data models | Journal | 39 |
Issue | ISSN | Citations |
8 | 0733-8716 | 3 |
PageRank | References | Authors |
0.49 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Ferrand | 1 | 57 | 5.56 |
| Alexis Decurninge | 2 | 3 | 0.49 |
| Luis G. Ordóñez | 3 | 61 | 2.75 |
| Maxime Guillaud | 4 | 315 | 30.64 |