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Wideband spectrum sensing for cognitive radio networks: a survey
Open accessAbstract
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.
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Cited by
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications
Ali, A., & Hamouda, W. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2631080 · Cited by 624
Full spectrum sharing in cognitive radio networks toward 5G: a survey
Hu, F., Chen, B., & Zhu, K. (2018) · IEEE Access · doi:10.1109/access.2018.2802450 · Cited by 321
A Review of Sparse Recovery Algorithms
Crespo Marques, E., Maciel, N., Naviner, L., Cai, H., & Yang, J. (2019) · IEEE Access · doi:10.1109/access.2018.2886471 · Cited by 268
Sparse Representation for Wireless Communications: A Compressive Sensing Approach
Qin, Z., Fan, J., Liu, Y., Gao, Y., & Li, G. Y. (2018) · IEEE Signal Processing Magazine · doi:10.1109/msp.2018.2789521 · Cited by 247
Cognitive Radio Techniques Under Practical Imperfections: A Survey
Sharma, S. K., Bogale, T. E., Chatzinotas, S., Ottersten, B., Le, L. B., & Wang, X. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2452414 · Cited by 221
Metadata
- Authors
- Sun, H., Nallanathan, A., Wang, C.-X., & Chen, Y.
- Venue
- IEEE Wireless Communications
- Published
- 2013-04
- Volume
- 20
- Issue
- 2
- Pages
- 74-81
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2037673368
- Cited by
- 587
- References
- 0
- FWCI
- 77.98
- Type
- journal article
- Language
- en
- Open access
- green
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