Reappearing primary user detection in FBMC/OQAM cognitive radios

Tero Ihalainen; Ari Viholainen; Tobias Hidalgo Stitz; Markku Renfors

5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Reappearing primary user detection in FBMC/OQAM cognitive radios

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@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9234,
    author={Tero Ihalainen and Ari Viholainen and Tobias Hidalgo Stitz and Markku Renfors},
    title={Reappearing primary user detection in FBMC/OQAM cognitive radios},
    proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2010},
    month={9},
    keywords={Analytical models Monitoring Receivers Sensors Signal to noise ratio Transient analysis},
    doi={10.4108/ICST.CROWNCOM2010.9234}
}

Tero Ihalainen
Ari Viholainen
Tobias Hidalgo Stitz
Markku Renfors
Year: 2010
Reappearing primary user detection in FBMC/OQAM cognitive radios
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9234

Tero Ihalainen¹^,*, Ari Viholainen¹, Tobias Hidalgo Stitz¹, Markku Renfors¹

1: Department of Communications Engineering, Tampere University of Technology, P.O. Box 553, FI-33101 Tampere, Finland

*Contact email: tero.j.ihalainen@tut.fi

Abstract

This paper investigates the problem of detecting the reappearance of a primary user signal during ongoing secondary data transmission. The high frequency containment of filter bank multicarrier (FBMC) waveforms is exploited to construct, in spectrally efficient manner, continuous silent subbands within the transmission band for spectrum monitoring. Energy detection is carried out on these monitoring subbands in secondary receivers. The distribution of the test statistic is derived to characterize the detector performance in the transient phase where the reappearance of the primary signal falls arbitrarily within the integration window. The experimental data obtained from an FBMC/OQAM secondary multiplexing testbed verifies the derived analytic model. Further, the impact of the transmit power amplifier nonlinearity on the proposed spectrum monitoring scheme is discussed.

Keywords: Analytical models Monitoring Receivers Sensors Signal to noise ratio Transient analysis

Published: 2010-09-16
Publisher: IEEE

: http://dx.doi.org/10.4108/ICST.CROWNCOM2010.9234