The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios
Abstract
In cognitive radio (CR) networks, secondary users can cooperatively sense the spectrum to detect the presence of primary users. In this paper, we propose a fully distributed and scalable cooperative spectrum-sensing scheme based on recent advances in consensus algorithms. In the proposed scheme, the secondary users can maintain coordination based on only local information exchange without a centralized common receiver. Unlike most of the existing decision rules, such as the or-rule or the 1-out-of-N rule, we use the consensus of secondary users to make the final decision. Simulation results show that the proposed consensus scheme can have significant lower missing detection probabilities and false alarm probabilities in CR networks. It is also demonstrated that the proposed scheme not only has proven sensitivity in detecting the primary user's presence but also has robustness in choosing a desirable decision threshold.
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Cites
Cognitive radio: brain-empowered wireless communications
Haykin, S. (2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.839380 · Cited by 11,916
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Godsil, C., & Royle, G. (2001) · Graduate Texts in Mathematics · doi:10.1007/978-1-4613-0163-9 · Cited by 8,154
Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
Mitola, J. (2000) · Cited by 3,470
Energy detection of unknown deterministic signals
Urkowitz, H. (1967) · Proceedings of the IEEE · doi:10.1109/proc.1967.5573 · Cited by 3,210
Sensing-Throughput Tradeoff for Cognitive Radio Networks
Liang, Y.-C., Zeng, Y., Peh, E. C. Y., & Hoang, A. T. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2008.060869 · Cited by 2,974
Non-negative Matrices and Markov Chains
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Implementation issues in spectrum sensing for cognitive radios
Cabric, D., Mishra, S. M., & Brodersen, R. W. (2005) · Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. · doi:10.1109/acssc.2004.1399240 · Cited by 2,589
On the Energy Detection of Unknown Signals Over Fading Channels
Digham, F. F., Alouini, M.-S., & Simon, M. K. (2007) · IEEE Transactions on Communications · doi:10.1109/tcomm.2006.887483 · Cited by 2,101
Collaborative spectrum sensing for opportunistic access in fading environments
Ghasemi, A., & Sousa, E. S. (2005) · doi:10.1109/dyspan.2005.1542627 · Cited by 1,799
Cited by
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges
Liang, C., & Yu, F. R. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2352118 · Cited by 708
Self-citationJamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
Pirayesh, H., & Zeng, H. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3159185 · Cited by 622
Metadata
- Authors
- Li, Z., Yu, F. R., & Huang, M.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2010-01
- Volume
- 59
- Issue
- 1
- Pages
- 383-393
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2116169759
- Cited by
- 261
- References
- 28
- FWCI
- 23.52
- Type
- journal article
- Language
- en
- Open access
- closed
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