Wideband spectrum sensing for cognitive radio networks: a survey

Hongjian Sun*, Arumugam Nallanathan, Cheng-Xiang Wang, Yunfei Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

502 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)74-81
Number of pages8
JournalIEEE Wireless Communications
Issue number2
Publication statusPublished - Apr 2013




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