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Abstract
In this paper, we investigate the secrecy performance of underlay cognitive small-cell radio network with unreliable backhaul connections. The secondary cognitive small-cell transmitters are connected to macro base station by wireless backhaul links. The small-cell network is sharing the same spectrum with the primary network ensuring that a desired outage probability constraint in the primary network is always satisfied. We propose an optimal transmitter selection (OTS) scheme for small-cell network to transfer information to the destination. The closed-form expression of secrecy outage probability are derived. Our result shows that increasing the primary transmitter’s transmit power and the number of small-cell transmitter can improve the system performance. The backhaul reliability of secondary and the desired outage probability of the primary also have significant impact on the system.
This work was supported in part by the Royal Society-SERB Newton International Fellowship under Grant NF151345.
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Acknowledgment
This work was supported in part by the Royal Society-SERB Newton International Fellowship under Grant NF151345.
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Queen’s University Belfast, Belfast, BT9 5AH, UK
Jinghua Zhang, Chinmoy Kundu & Emi Garcia-Palacios
- Jinghua Zhang
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- Chinmoy Kundu
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Correspondence toJinghua Zhang.
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Editors and Affiliations
Ghent University, Ghent, Belgium
Ingrid Moerman
University of Antwerp, Antwerpen, Belgium
Johann Marquez-Barja
Ghent University, Zwijnaarde, Belgium
Adnan Shahid
Ghent University, Zwijnaarde, Belgium
Wei Liu
Ghent University, Zwijnaarde, Belgium
Spilios Giannoulis
Ghent University, Zwijnaarde, Belgium
Xianjun Jiao
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Zhang, J., Kundu, C., Garcia-Palacios, E. (2019). Secrecy Outage Probability of Cognitive Small-Cell Network with Unreliable Backhaul Connections. In: Moerman, I., Marquez-Barja, J., Shahid, A., Liu, W., Giannoulis, S., Jiao, X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-05490-8_9
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