Name
Abstract | ||
|---|---|---|
In this paper, we address the problem of reconstructing coverage maps from path-loss measurements in cellular networks. We propose and evaluate two kernel-based adaptive online algorithms as an alternative to typical offline methods. The proposed algorithms are application-tailored extensions of powerful iterative methods such as the adaptive projected subgradient method (APSM) and a state-of-the-... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TVT.2015.2453391 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Kernel,Dictionaries,Estimation,Tin,Machine learning algorithms,Prediction algorithms,Reliability | Data mining,Online algorithm,Computer science,Electronic engineering,Multikernel,Cellular network,Adaptive filter,Artificial intelligence,Kernel (linear algebra),Iterative method,Data compression,Mobile telephony,Machine learning | Journal |
Volume | Issue | ISSN |
65 | 7 | 0018-9545 |
Citations | PageRank | References |
14 | 0.67 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Kasparick | 1 | 55 | 12.55 |
| Renato L. G. Cavalcante | 2 | 180 | 24.21 |
| Stefan Valentin | 3 | 130 | 14.09 |
| Slawomir Stanczak | 4 | 521 | 89.71 |
| Masahiro Yukawa | 5 | 272 | 30.44 |