CINECA IRIS Institutional Research Information System
IRIS è l'Anagrafe della ricerca dell'Università degli Studi di Trento, e ha lo scopo di raccogliere, documentare, conservare e diffondere, anche ad accesso aperto, la produzione scientifica degli autori afferenti all'Università degli Studi di Trento.
EnglishCognitive radio has been proposed as a promising technology to resolve the spectrum scarcity problem by dynamically exploiting underutilized spectrum bands. Cognitive radio technology allows unlicensed users to exploit the spectrum vacancies at any time with no or limited extra interference at the licensed users. Usually, cognitive radios create networks in order to better identify spectrum vacancies, avoid resultant interference, and consequently, magnify their revenues. One of the main challenges in cognitive radio networks (CRNs) is the high energy consumption, which may limit their implementation especially in battery-powered terminals. The large consumption mainly occurs during the spectrum sensing stage, especially if a cooperative approach is employed, and has an impact on the data transmission stage. Many algorithms have been proposed in the literature in order to improve the energy efficiency of cooperative spectrum sensing methods in CRNs. In this article, we provide an overview of state-of-the-art research that addresses this problem. Furthermore, we suggest important design guidelines of an energy-efficient framework for cooperative spectrum sensing.
Scheda prodotto non validato
I dati visualizzati non sono stati ancora sottoposti a validazione formale da parte dello Staff di IRIS, ma sono stati ugualmente trasmessi al Sito Docente Cineca (Loginmiur).
| Titolo: | Towards energy-efficient cooperative spectrum sensing for cognitive radio networks: an overview |
| Autori: | Althunibat, Saud Ghassan Abdul Kareem; M., Di Renzo; Granelli, Fabrizio |
| Autori Unitn: | |
| Titolo del periodico: | TELECOMMUNICATION SYSTEMS |
| Anno di pubblicazione: | 2014 |
| Codice identificativo Scopus: | 2-s2.0-84938483580 |
| Codice identificativo ISI: | WOS:000351695800006 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s11235-014-9887-2 |
| Handle: | http://hdl.handle.net/11572/99844 |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
File in questo prodotto:
http://hdl.handle.net/11572/99844
Copyright © 2020