The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Advances in cognitive radio networks: A survey
Abstract
With the rapid deployment of new wireless devices and applications, the last decade has witnessed a growing demand for wireless radio spectrum. However, the fixed spectrum assignment policy becomes a bottleneck for more efficient spectrum utilization, under which a great portion of the licensed spectrum is severely under-utilized. The inefficient usage of the limited spectrum resources urges the spectrum regulatory bodies to review their policy and start to seek for innovative communication technology that can exploit the wireless spectrum in a more intelligent and flexible way. The concept of cognitive radio is proposed to address the issue of spectrum efficiency and has been receiving an increasing attention in recent years, since it equips wireless users the capability to optimally adapt their operating parameters according to the interactions with the surrounding radio environment. There have been many significant developments in the past few years on cognitive radios. This paper surveys recent advances in research related to cognitive radios. The fundamentals of cognitive radio technology, architecture of a cognitive radio network and its applications are first introduced. The existing works in spectrum sensing are reviewed, and important issues in dynamic spectrum allocation and sharing are investigated in detail.
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Cites
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006) · Computer Networks · doi:10.1016/j.comnet.2006.05.001 · Cited by 6,356
Cited by
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Wang, C.-X., You, X., Gao, X., Zhu, X., Li, Z., Zhang, C., Wang, H., Huang, Y., Chen, Y., Haas, H., et al. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3249835 · Cited by 2,336
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
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges
Ku, M.-L., Li, W., Chen, Y., & Ray Liu, K. J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2497324 · Cited by 606
A Survey on Machine-Learning Techniques in Cognitive Radios
Bkassiny, M., Li, Y., & Jayaweera, S. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.100412.00017 · Cited by 580
Anandakumar, H., & Umamaheswari, K. (2017) · Cluster Computing · doi:10.1007/s10586-017-0798-3 · Cited by 331
Metadata
- Authors
- Wang, B., & Liu, K. J. R.
- Venue
- IEEE Journal of Selected Topics in Signal Processing
- Published
- 2011-02
- Volume
- 5
- Issue
- 1
- Pages
- 5-23
- ISSN
- 1932-4553 (ISSN-L)
- 1941-0484
- OpenAlex
- W2167230435
- Cited by
- 1,404
- References
- 1
- FWCI
- 116.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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