2011 IEEE Vehicular Technology Conference (VTC Fall) 2011
DOI: 10.1109/vetecf.2011.6092887
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Optimization of Cooperative Spectrum Sensing with an Improved Energy Detector over Imperfect Reporting Channels

Abstract: Optimization of cooperative spectrum sensing with an improved energy detector in each cognitive radio (CR) over imperfect reporting channels is discussed in this paper. The improved energy detector compares an arbitrary positive power p of the amplitude of the received samples of the signals of a primary user (PU) with a threshold to make a decision. The binary decision of each CR is forwarded over an imperfect reporting channel to a fusion center which makes a final decision on the presence of the PU. We obta… Show more

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Cited by 50 publications
(39 citation statements)
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“…Stage 1: Let Θ = X + Θ 0 , where Θ 0 has zeroes along its diagonal and its off-diagonal entries 7 For the sake of notational simplicity, the diagonal entries of X , i.e. xi,i, are referred to by xi.…”
Section: Lemma 3 Letmentioning
confidence: 99%
“…Stage 1: Let Θ = X + Θ 0 , where Θ 0 has zeroes along its diagonal and its off-diagonal entries 7 For the sake of notational simplicity, the diagonal entries of X , i.e. xi,i, are referred to by xi.…”
Section: Lemma 3 Letmentioning
confidence: 99%
“…The authors in [15][16][17] applied CSS to the one-sample based IED, where SUs just use one sample of the received signal for sensing. They began their studies in [15] over additive white Gaussian noise (AWGN) sensing channels (the PU-SU channel) and perfect reporting channels, and extended it to Rayleigh-faded sensing and imperfect reporting channels in [16]. Finally, they completed their job by equipping SUs with multiple antennas to have a more reliable local decision [17].…”
Section: Introductionmentioning
confidence: 99%
“…To achieve a specified detection performance, despite heavy shadowing and fading, cooperative spectrum sensing (CSS) was proposed as an effective way to reliably detect primary activity [13][14][15][16]. In CSS, SUs report local sensing informations for further combine.…”
Section: Introductionmentioning
confidence: 99%