The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Cognitive Radio: An Information-Theoretic Perspective
Abstract
In this paper, we consider a communication scenario in which the primary and the cognitive radios wish to communicate to different receivers, subject to mutual interference. In the model that we use, the cognitive radio has noncausal knowledge of the primary radio's codeword. We characterize the largest rate at which the cognitive radio can reliably communicate under the constraint that 1)no rate degradationis created for the primary user, and 2) the primary receiver uses asingle-user decoderjust as it would in the absence of the cognitive radio. The result holds in a “low-interference” regime in which the cognitive radio is closer to its receiver than to the primary receiver. In this regime, our results are subsumed by the results derived in a concurrent and independent work (Wu, 2007). We also demonstrate that, in a “high-interference” regime, multiuser decoding at the primary receiver is optimal from the standpoint of maximal jointly achievable rates for the primary and cognitive users.
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Cites
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Self-citationWriting on dirty paper (Corresp.)
Costa, M. (1983) · IEEE Transactions on Information Theory · doi:10.1109/tit.1983.1056659 · Cited by 3,735
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
Weingarten, H., Steinberg, Y., & Shamai, S. S. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.880064 · Cited by 1,709
Information theoretic inequalities
Dembo, A., Cover, T. M., & Thomas, J. A. (1991) · IEEE Transactions on Information Theory · doi:10.1109/18.104312 · Cited by 742
Carleial, A. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055812 · Cited by 694
The capacity of the Gaussian interference channel under strong interference (Corresp.)
Sato, H. (1981) · IEEE Transactions on Information Theory · doi:10.1109/tit.1981.1056416 · Cited by 623
Cognitive Radio: An Information-Theoretic Perspective
Jovicic, A., & Viswanath, P. (2006) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2006.262021 · Cited by 307
Self-citationCapacity of a Class of Cognitive Radio Channels: Interference Channels With Degraded Message Sets
Wu, W., Vishwanath, S., & Arapostathis, A. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.907436 · Cited by 231
Channel Capacity and State Estimation for State-Dependent Gaussian Channels
Sutivong, A., Chiang, M., Cover, T. M., & Kim, Y.-H. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.844108 · Cited by 133
Cited by
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
Bounds and Capacity Theorems for Cognitive Interference Channels with State
Liang, R. D. Y. (2012) · arXiv · doi:10.48550/arxiv.1207.0016 · Cited by 3
Metadata
- Authors
- Jovicic, A., & Viswanath, P.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2009-09
- Volume
- 55
- Issue
- 9
- Pages
- 3945-3958
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2179880807
- Cited by
- 555
- References
- 9
- FWCI
- 104.09
- Type
- journal article
- Language
- en
- Open access
- closed
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