A New Classification-Like Scheme for Spectrum Sensing Using Spectral Correlation and Stacked Denoising Autoencoders

Author:

LIU Hang1,ZHU Xu1,FUJII Takeo1

Affiliation:

1. Advanced Wireless Communication Research Center, The University of Electro-Communications

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Reference24 articles.

1. [1] J. Mitola, Cognitive radio — An integrated agent architecture for software defined radio, Ph.D. thesis, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000. Doctor of Technology.

2. [2] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J Sel. Areas Commun., vol.23, no.2, pp.201-220, 2005. 10.1109/jsac.2004.839380

3. [3] R.W. Brodersen, A. Wolisz, D. Cabric, S.M. Mishra, and D. Willkomm, “Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum,” Berkeley Wireless Research Center (BWRC) White paper, pp.1-21, 2004.

4. [4] S. Haykin, D. Thomson, and J. Reed, “Spectrum sensing for cognitive radio,” Proc. IEEE, vol.97, no.5, pp.849-877, 2009. 10.1109/jproc.2009.2015711

5. [5] T. Yucek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Commun. Surveys Tuts., vol.11, no.1, pp.116-130, 2009. 10.1109/surv.2009.090109

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