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EnglishIn order to gain awareness of available transmission opportunities, a cognitive radio [1] system requires the implementation of a spectrum sensing unit, which must indicate whether a transmission is taking place in the considered channel. In order to provide such indication, a binary hypothesis testing experiment must be periodically performed [2]. Many algorithms have been proposed for the computation of such test statistics [3]. In this paper we focus on the performance of Hybrid Approach of semi-blind eigenvalue-based detection (EBD) algorithms, especially RLRT [4], in which the noise variance is estimated in a given number of auxiliary slots.
| Titolo: | Impact of noise estimation on eigenvalue based spectrum sensing in cognitive radio systems | |
| Autore/i: | DHAKAL, PAWAN; GARELLO, Roberto; PENNA, FEDERICO; RIVIELLO, DANIEL GAETANO | |
| Autore/i Unibo: | ||
| Anno: | 2013 | |
| Titolo del libro: | The 4th Workshop of COST Action IC0902 Cognitive Radio and Networking for Cooperative Coexistence of Heterogeneous Wireless Networks | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 4 | |
| Abstract: | In order to gain awareness of available transmission opportunities, a cognitive radio [1] system requires the implementation of a spectrum sensing unit, which must indicate whether a transmission is taking place in the considered channel. In order to provide such indication, a binary hypothesis testing experiment must be periodically performed [2]. Many algorithms have been proposed for the computation of such test statistics [3]. In this paper we focus on the performance of Hybrid Approach of semi-blind eigenvalue-based detection (EBD) algorithms, especially RLRT [4], in which the noise variance is estimated in a given number of auxiliary slots. | |
| Data stato definitivo: | 27-feb-2022 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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