Name
Abstract | ||
|---|---|---|
In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point $x$ (transmitter location) to any point $y$ on a planar domain. For applications such as user-cell site association and device-to-device link scheduling, an accurate knowledge of the pathloss function for all pairs of transmitter-receiver locations is very imp... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TWC.2021.3054977 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Urban areas,Wireless communication,Deep learning,Interference,Adaptation models,Predictive models,Neural networks | Journal | 20 |
Issue | ISSN | Citations |
6 | 1536-1276 | 5 |
PageRank | References | Authors |
0.52 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Levie Ron | 1 | 5 | 0.52 |
| Çagkan Yapar | 2 | 19 | 1.99 |
| Gitta Kutyniok | 3 | 325 | 34.77 |
| Giuseppe Caire | 4 | 9797 | 807.61 |