Hybrid coherent/energy detection for cognitive radio networks
Moghimi F, Schober R, Mallik RK (2010)
Publication Type: Conference contribution
Publication year: 2010
Conference Proceedings Title: GLOBECOM - IEEE Global Telecommunications Conference
Event location: Miami, FL
ISBN: 9781424456383
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. ©2010 IEEE.
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APA:
Moghimi, F., Schober, R., & Mallik, R.K. (2010). Hybrid coherent/energy detection for cognitive radio networks. In GLOBECOM - IEEE Global Telecommunications Conference. Miami, FL, US.
MLA:
Moghimi, Farzad, Robert Schober, and Ranjan K. Mallik. "Hybrid coherent/energy detection for cognitive radio networks." Proceedings of the 53rd IEEE Global Communications Conference, GLOBECOM 2010, Miami, FL 2010.
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