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Title: Hybrid Coherent/Energy Detection for Cognitive Radio Networks
Authors: Moghimi, F
Schober, R
Mallik, R K
Issue Date: 2010
Citation: Moghimi, F., Schober, R., & Mallik, R. K. (2010). Hybrid Coherent/Energy Detection for Cognitive Radio Networks. Proceedings of the 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, USA. doi: 10.1109/GLOCOM.2010.5683956
Abstract: Cognitive radio (CR) networks require reliable spectrum sensing techniques in order to avoid interference to the primary users of the spectrum. Most existing spectrum sensing techniques are based on simple energy detection. However, in practice, the signals transmitted by primary users usually also contain known symbol such as pilots and preambles for synchronization and channel estimation purposes. Coherent, correlation based spectrum sensing techniques can exploit these known symbols but waste the energy contained in the data symbols. In this paper, we propose a hybrid spectrum sensing scheme which exploits both the pilot and the data symbols transmitted by the primary user. For the practically relevant low signal-to-noise ratio regime, we derive a locally optimal hybrid detection metric, which turns out to be a linear combination of an energy detection metric and a correlation metric. Simulation and analytical results confirm that the hybrid metric outperforms both energy detection and coherent detection even if the pilot positions are not known a priori and have to be estimated by the CR receiver.
ISBN: 978-1-4244-5637-6
ISSN: 1930-529X
Project Number: 104519
Project Title: International Research Chairs Initiative (IRCI)
Document Delivery: This document is not available in the IDRC Digital Library / Ce document n'est pas disponible dans la Bibliothèque numérique du CRDI
Appears in Collections:IDRC Research Results / Résultats de recherches du CRDI
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2010-2019 / Années 2010-2019

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