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Wideband spectrum sensing for cognitive radio networks: a survey

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4 Author(s)

Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive radio networks is wideband spectrum sensing: secondary users reliably detect spectral opportunities across a wide frequency range. In this article, various wideband spectrum sensing algorithms are presented, together with a discussion of the pros and cons of each algorithm and the challenging issues. Special attention is paid to the use of sub-Nyquist techniques, including compressive sensing and multichannel sub- Nyquist sampling techniques.

Published in:

Wireless Communications, IEEE  (Volume:20 ,  Issue: 2 )

Date of Publication:

April 2013

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