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An Improved Cross Entropy-Based Frequency-Domain Spectrum Sensing  

Ahmed, Tasmia (INHA-WiTLAB, Graduate School of IT & Telecommunication)
Gu, Junrong (INHA-WiTLAB, Graduate School of IT & Telecommunication)
Jang, Sung-Jeen (INHA-WiTLAB, Graduate School of IT & Telecommunication)
Kim, Jae-Moung (INHA-WiTLAB, Graduate School of IT & Telecommunication)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.48, no.3, 2011 , pp. 50-59 More about this Journal
Abstract
In this paper, we present a spectrum sensing method by exploiting the relationship of previous and current detected data sets in frequency domain. Most of the traditional spectrum sensing methods only consider the current detected data sets of Primary User (PU). Previous state of PU is a kind of conditional probability that strengthens the reliability of the detector. By considering the relationship of the previous and current spectrum sensing, cross entropy-based spectrum sensing is proposed to detect PU signal more effectively, which has a strengthened performance and is robust. When previous detected signal is noise, the discriminating ability of cross entropy-based spectrum sensing is no better than conventional entropy-based spectrum sensing. To address this problem, we propose an improved cross entropy-based frequency-domain spectrum sensing. Regarding the spectrum sensing scheme, we have derived that the proposed method is superior to the cross entropy-based spectrum sensing. We proceed a comparison of the proposed method with the up-to-date entropy-based spectrum sensing in frequency-domain. The simulation results demonstrate the performance improvement of the proposed spectrum sensing method.
Keywords
Cross Entropy; Entropy; Frequency-Domain; Spectrum Sensing; Cognitive Radio;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Santosh V. Nagaraj. "Entropy Based Spectrum Sensing in Cognitive Radio," Signal Processing, Vol. 89, no. 2, pp: 174-180, Feb, 2009.   DOI   ScienceOn
2 S.Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE J. Select. Areas Commun., vol. 23, no. 2, pp201-220, Feb, 2005.
3 N. devroye, P. Mitran and V. Tarokh, "Achievable Rates in Cognitive Radio Channels," IEEE Trans .Inform. Theory, vol. 52, no. 5, pp1813-1827, May 2006.   DOI
4 S. Srinivasa, S.A. Jafar and N. Jindal, "On the Capacity of the Cognitive Tracking Channel," IEEE International Symposium on Information Theory, pp2077 - 2081, Jan. 2006.
5 J.Mitola, III and G. Maguire, Jr., "Cognitive radio: Making software radio more personal," IEEE Personal Communications, vol. 6, pp13-18, Aug. 1999.   DOI   ScienceOn
6 Yucek T., and Arslan, H., "A survey of spectrum sensing algorithms for cognitive radio applications," Communications Surveys & Tutorials, vol. 11, no. 1, pp116-130, IEEE 2009.
7 Ya Lin Zhang, Qin Yu Zhang, and Tommaso Melodia; "A Frequency-Domain Entropy-Based Detector for Robust Spectrum Sensing in Cognitive Radio Networks," Communications Letters, IEEE, vol. 14, No .6, pp533-535, June 2010.   DOI
8 Thomas M. Cover, Joy A. Thomas. Elements of Information Theory, Second Edition. John Wiley & Sons .Hoboken, New Jersey.
9 Zhang Y., Zhang Q., Wu S.. "Entropy-based robust spectrum sensing in cognitive radio," IET Commun. vol. 4, no. 4, pp428-430, 2010.   DOI   ScienceOn
10 SungHwan Sohn, SungJeen Jang, JaeMoung Kim, "A real time sensing through the eigenvalue detection in cognitive radio," IEEK Telecommunications, vol. 47-TC, no. 7, pp1-7, July 2010.
11 Md. Imrul Hassan, JuBin Song, Young-Il Kim, "Throughput capacity of a wireless multi-hop relay network using cognitive radio," IEEK Telecommunications, vol. 44-TC, no. 5, pp33-39, May 2007.