Name
Abstract | ||
|---|---|---|
This paper presents a novel spectrum sensing technique based on selection diversity combining in cognitive radio networks. In general, a selection diversity combining scheme requires a period to select an optimal element, and spectrum sensing requires a period to detect a target signal. We consider that both these periods are required for the spectrum sensing based on selection diversity combining. However, conventional techniques do not consider both the periods. Furthermore, spending a large amount of time in selection and signal detection increases their accuracy. Because the required period for spectrum sensing based on selection diversity combining is the summation of both the periods, their lengths should be considered while developing selection diversity combining based spectrum sensing for a constant period. In reference to this, we discuss the spectrum sensing technique based on selection diversity combining. Numerical examples are shown to validate the effectiveness of the presented design techniques. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1587/transfun.2019EAP1167 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | DocType | Volume |
cognitive radio networks, spectrum sensing, selection diversity combining, energy detection, cyclostationary detection | Journal | E103A |
Issue | ISSN | Citations |
8 | 0916-8508 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shusuke Narieda | 1 | 19 | 9.15 |
| Hiromichi Ogasawara | 2 | 0 | 0.34 |
| Hiroshi Naruse | 3 | 39 | 12.10 |