Wide-band sensing and optimization for cognitive radio networks with noise variance uncertainty
(2015) IEEE Transactions on Communications — Vol. 63, n° 4, p. 1091-1105 (2015)
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- Abstract
- This paper considers wide-band spectrum sensing and optimization for cognitive radio (CR) networks with noise variance uncertainty. It is assumed that the considered wide-band contains one or more white sub-bands. Under this assumption, we consider throughput maximization of the CR network while appropriately protecting the primary network. We address this problem as follows. First, we propose novel ratio based test statistics for detecting the edges of each sub-band. Second, we employ simple energy comparison approach to choose one reference white sub-band. Third, we propose novel generalized energy detector (GED) for examining each of the remaining sub-bands by exploiting the noise information of the reference white sub-band. Finally, we optimize the sensing time (T-{o} ) to maximize the CR network throughput using the detection and false alarm probabilities of the GED. The proposed GED does not suffer from signal to noise ratio (SNR wall and outperforms the existing signal detectors. Moreover, the relationship between the proposed GED and conventional energy detector (CED is quantified analytically. We show that the optimal T-{o} depends on the noise variance information. In particular, with 10TV bands, hbox{SNR}=-20 hbox{dB} and 2s frame duration, we found that the optimal T-{o} is 28.5 ms (50.6 ms) with perfect (imperfect) noise variance scenario. © 1972-2012 IEEE.
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Bogale, T. E., Vandendorpe, L., & Le, L. B. (2015). Wide-band sensing and optimization for cognitive radio networks with noise variance uncertainty. IEEE Transactions on Communications, 63(4), 1091-1105. https://doi.org/10.1109/TCOMM.2015.2394390 (Original work published 2015)