The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks - [transaction letters]
Abstract
In the letter the problem of cooperative spectrum sensing is investigated in cognitive radio (CR) networks over Rayleigh fading channels. By taking into account the error effect on the decision reporting, a general performance analysis of cooperative spectrum sensing is given. The analytical detection results show that the performance of cooperative spectrum sensing is limited by the probability of reporting errors. To deal with this limitation, we propose a transmit diversity based cooperative spectrum sensing method. By regarding multiple CRs as a virtual antenna array, space-time coding and spacefrequency coding are applied into CR networks over flat-fading and frequency-selective fading channels, respectively. Moreover, we propose a relay diversity based cooperative spectrum sensing approach to increase the diversity of detection when some CRs are in heavy shadowing. It is then shown that, when combined with algebraic coding, relay diversity can further improve the cooperative spectrum sensing performance.
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Citations
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
Cognitive radio: making software radios more personal
Mitola, J., & Maguire, G. Q. (1999) · IEEE Personal Communications · doi:10.1109/98.788210 · Cited by 9,135
Energy detection of unknown deterministic signals
Urkowitz, H. (1967) · Proceedings of the IEEE · doi:10.1109/proc.1967.5573 · Cited by 3,210
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
Cooperative Sensing among Cognitive Radios
Mishra, S. M., Sahai, A., & Brodersen, R. W. (2006) · International Conference on Communications · doi:10.1109/icc.2006.254957 · Cited by 1,452
On the energy detection of unknown signals over fading channels
Digham, F. F., Alouini, M.-S., & Simon, M. K. (2004) · IEEE International Conference on Communications, 2003. ICC '03. · doi:10.1109/icc.2003.1204119 · Cited by 1,102
Boutros, J. J., & Viterbo, E. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.681321 · Cited by 927
Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks
Ganesan, G., & Ye, L. (2007) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2007.05776 · Cited by 873
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks
Ganesan, G., & Li, Y. (2007) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2007.05775 · Cited by 748
Cited by
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
Zhang, W., Mallik, R., & Letaief, K. (2009) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2009.12.081710 · Cited by 785
Self-citationAdvances 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
Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks
Thilina, K. M., Choi, K. W., Saquib, N., & Hossain, E. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.131120 · Cited by 432
Metadata
- Authors
- Zhang, W., & Letaief, K.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2008-12
- Volume
- 7
- Issue
- 12
- Pages
- 4761-4766
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W1967514042
- Cited by
- 347
- References
- 11
- FWCI
- 46.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
