Secure beamforming for cognitive radio networks with artificial noise

Yanan Wu, Xiaoming Chen, Xianfu Chen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

7 Citations (Scopus)

Abstract

In this paper, we address the secrecy problem for a cognitive radio network (CRN) by using physical layer security (PHY-security) technology. In order to effectively enhance wireless security, we propose to adopt artificial noise (AN) to impair the quality of the interception signal. For such a secure CRN, it is a challenging issue to design the beams for both the desired signal and the AN, so as to maximize the secrecy rate while satisfying the interference constraint to primary user (PU). Since the formulated problem is nonconvex, we adopt an alternative optimization method combined with one-dimensional linear searching to design optimal secure beams. Furthermore, we propose a low-complexity secure beamforming scheme by confining the AN in the orthogonal space of the legitimate channel. It is found that the low-complex scheme can asymptotically approach the same performance as the optimal one, when the number of antennas is large. Finally, simulation results validate the effectiveness of the two proposed schemes.
Original languageEnglish
Title of host publication Wireless Communications & Signal Processing (WCSP), 2015 International Conference on
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1-5
ISBN (Electronic)978-1-4673-7687-7, 978-1-4673-7686-0
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
Event7th International Conference on Wireless Communications and Signal Processing, WCSP 2015 - Nanjing, China
Duration: 15 Oct 201517 Oct 2015

Conference

Conference7th International Conference on Wireless Communications and Signal Processing, WCSP 2015
Abbreviated titleWCSP 2015
CountryChina
CityNanjing
Period15/10/1517/10/15

Fingerprint

Cognitive radio
Beamforming
Antennas
Optimal design

Keywords

  • array signal processing
  • interference constraints
  • optimization
  • cognitive radio
  • communication system security
  • antennas

Cite this

Wu, Y., Chen, X., & Chen, X. (2015). Secure beamforming for cognitive radio networks with artificial noise. In Wireless Communications & Signal Processing (WCSP), 2015 International Conference on (pp. 1-5). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WCSP.2015.7341139
Wu, Yanan ; Chen, Xiaoming ; Chen, Xianfu. / Secure beamforming for cognitive radio networks with artificial noise. Wireless Communications & Signal Processing (WCSP), 2015 International Conference on. Institute of Electrical and Electronic Engineers IEEE, 2015. pp. 1-5
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title = "Secure beamforming for cognitive radio networks with artificial noise",
abstract = "In this paper, we address the secrecy problem for a cognitive radio network (CRN) by using physical layer security (PHY-security) technology. In order to effectively enhance wireless security, we propose to adopt artificial noise (AN) to impair the quality of the interception signal. For such a secure CRN, it is a challenging issue to design the beams for both the desired signal and the AN, so as to maximize the secrecy rate while satisfying the interference constraint to primary user (PU). Since the formulated problem is nonconvex, we adopt an alternative optimization method combined with one-dimensional linear searching to design optimal secure beams. Furthermore, we propose a low-complexity secure beamforming scheme by confining the AN in the orthogonal space of the legitimate channel. It is found that the low-complex scheme can asymptotically approach the same performance as the optimal one, when the number of antennas is large. Finally, simulation results validate the effectiveness of the two proposed schemes.",
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Wu, Y, Chen, X & Chen, X 2015, Secure beamforming for cognitive radio networks with artificial noise. in Wireless Communications & Signal Processing (WCSP), 2015 International Conference on. Institute of Electrical and Electronic Engineers IEEE, pp. 1-5, 7th International Conference on Wireless Communications and Signal Processing, WCSP 2015, Nanjing, China, 15/10/15. https://doi.org/10.1109/WCSP.2015.7341139

Secure beamforming for cognitive radio networks with artificial noise. / Wu, Yanan; Chen, Xiaoming; Chen, Xianfu.

Wireless Communications & Signal Processing (WCSP), 2015 International Conference on. Institute of Electrical and Electronic Engineers IEEE, 2015. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - In this paper, we address the secrecy problem for a cognitive radio network (CRN) by using physical layer security (PHY-security) technology. In order to effectively enhance wireless security, we propose to adopt artificial noise (AN) to impair the quality of the interception signal. For such a secure CRN, it is a challenging issue to design the beams for both the desired signal and the AN, so as to maximize the secrecy rate while satisfying the interference constraint to primary user (PU). Since the formulated problem is nonconvex, we adopt an alternative optimization method combined with one-dimensional linear searching to design optimal secure beams. Furthermore, we propose a low-complexity secure beamforming scheme by confining the AN in the orthogonal space of the legitimate channel. It is found that the low-complex scheme can asymptotically approach the same performance as the optimal one, when the number of antennas is large. Finally, simulation results validate the effectiveness of the two proposed schemes.

AB - In this paper, we address the secrecy problem for a cognitive radio network (CRN) by using physical layer security (PHY-security) technology. In order to effectively enhance wireless security, we propose to adopt artificial noise (AN) to impair the quality of the interception signal. For such a secure CRN, it is a challenging issue to design the beams for both the desired signal and the AN, so as to maximize the secrecy rate while satisfying the interference constraint to primary user (PU). Since the formulated problem is nonconvex, we adopt an alternative optimization method combined with one-dimensional linear searching to design optimal secure beams. Furthermore, we propose a low-complexity secure beamforming scheme by confining the AN in the orthogonal space of the legitimate channel. It is found that the low-complex scheme can asymptotically approach the same performance as the optimal one, when the number of antennas is large. Finally, simulation results validate the effectiveness of the two proposed schemes.

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Wu Y, Chen X, Chen X. Secure beamforming for cognitive radio networks with artificial noise. In Wireless Communications & Signal Processing (WCSP), 2015 International Conference on. Institute of Electrical and Electronic Engineers IEEE. 2015. p. 1-5 https://doi.org/10.1109/WCSP.2015.7341139