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Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks
Abstract
In cognitive radio networks, cognitive (unlicensed) users need to continuously monitor spectrum for the presence of primary (licensed) users. In this paper, we illustrate the benefits of cooperation in cognitive radio. We show that by allowing the cognitive users operating in the same band to cooperate we can reduce the detection time and thus increase the overall agility. We first consider a two-user cognitive radio network and show how the inherent asymmetry in the network can be exploited to increase the agility. We show that our cooperation scheme increases the agility of the cognitive users by as much as 35%. We then extend our cooperation scheme to multicarrier networks with two users per carrier and analyze asymptotic agility gain. In Part II of our paper [1], we investigate multiuser single carrier networks. We develop a decentralized cooperation protocol which ensures agility gain for arbitrarily large cognitive network population.
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Cited by
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
Self-citationA 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
Self-citationSignal Processing in Cognitive Radio
Ma, J., Li, G. Y., & Juang, B. H. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2015707 · Cited by 533
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
- Ganesan, G., & Li, Y.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2007-06
- Volume
- 6
- Issue
- 6
- Pages
- 2204-2213
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W3019114926
- Cited by
- 748
- References
- 0
- FWCI
- 103.84
- Type
- journal article
- Language
- en
- Open access
- closed
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