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arXiv · 1302.1777

Wideband Spectrum Sensing for Cognitive Radio Networks: A Survey

Hongjian Sun·Arumugam Nallanathan·Cheng-Xiang Wang·Yunfei Chen
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Abstract

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 multi-channel sub-Nyquist sampling techniques.

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Hongjian Sun, Arumugam Nallanathan, Cheng-Xiang Wang, Yunfei Chen. 2013-03-04. Wideband Spectrum Sensing for Cognitive Radio Networks: A Survey. https://arxiv.org/abs/1302.1777

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