The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cooperative Communications for Cognitive Radio Networks
Abstract
Cognitive radio is an exciting emerging technology that has the potential of dealing with the stringent requirement and scarcity of the radio spectrum. Such revolutionary and transforming technology represents a paradigm shift in the design of wireless systems, as it will allow the agile and efficient utilization of the radio spectrum by offering distributed terminals or radio cells the ability of radio sensing, self-adaptation, and dynamic spectrum sharing. Cooperative communications and networking is another new communication technology paradigm that allows distributed terminals in a wireless network to collaborate through some distributed transmission or signal processing so as to realize a new form of space diversity to combat the detrimental effects of fading channels. In this paper, we consider the application of these technologies to spectrum sensing and spectrum sharing. One of the most important challenges for cognitive radio systems is to identify the presence of primary (licensed) users over a wide range of spectrum at a particular time and specific geographic location. We consider the use of cooperative spectrum sensing in cognitive radio systems to enhance the reliability of detecting primary users. We shall describe spectrum sensing for cognitive radios and propose robust cooperative spectrum sensing techniques for a practical framework employing cognitive radios. We also investigate cooperative communications for spectrum sharing in a cognitive wireless relay network. To exploit the maximum spectrum opportunities, we present a cognitive space-time-frequency coding technique that can opportunistically adjust its coding structure by adapting itself to the dynamic spectrum environment.
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Citations
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
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 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
Li, B., Petropulu, A. P., & Trappe, W. (2016) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2569479 · Cited by 383
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
Metadata
- Authors
- Ben Letaief, K., & Zhang, W.
- Venue
- Proceedings of the IEEE
- Published
- 2009-05
- Volume
- 97
- Issue
- 5
- Pages
- 878-893
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2152447715
- Cited by
- 1,153
- References
- 1
- FWCI
- 154.18
- Type
- journal article
- Language
- en
- Open access
- closed
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