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Optimal Beamforming Design for Information and Power Transmission in the Presence of Eavesdroppers

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Abstract

This paper considers a MISO simultaneous wireless information and power transfer system in which a transmitter sends information and power simultaneously to a legitimate receiver in the presence of many eavesdroppers. The receiver adopts power splitting scheme so that it decodes information and harvests energy at the same time. We formulate the two equivalent optimization problems—the transmit power minimization problem under SINR and required harvested energy constraints and the secrecy rate maximization problem under total transmit power and harvested energy constraints. We apply the semidefinite relaxation technique to obtain the optimal beamforming vectors and prove that the relaxation is tight. We show that optimizing the eavesdropper SINR threshold is necessary to minimize the total power consumption. We also present the optimal robust beamforming design based on the S-Procedure in uncertain channel cases.

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References

  1. Zhang, R., & Ho, C. K. (2013). MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Transactions Wireless Communications, 12(5), 1989–2001.

    Article  Google Scholar 

  2. Wyner, A. (1975). The wire-tap channel. Bell System Technical Journal, 54(8), 1355–1387.

    Article  MathSciNet  MATH  Google Scholar 

  3. Negi, R., & Goel, S. (2008). Guaranteeing secrecy using artificial noise. IEEE Transactions Wireless Communications, 7(6), 2180–2189.

    Article  Google Scholar 

  4. Zhou, X., & McKay, M. R. (2010). Secure transmission with artificial noise over fading channels: Achievable rate and optimal power allocation. IEEE Transactions Vehicular Technology, 59(8), 3831–3842.

    Article  MATH  Google Scholar 

  5. Li, Q., & Ma, W. K. (2013). Spatially selective artificial-noise aided transmit optimization for MISO multi-eves secrecy rate maximization. IEEE Transactions on Signal Processing, 61(10), 2704–2717.

    Article  MathSciNet  Google Scholar 

  6. Liao, W. C., Chang, T. H., Ma, W. K., & Chi, C. Y. (2011). QoS-based transmit beamforming in the presence of eavesdroppers: An artificial noise-aided approach. IEEE Transactions on Signal Processing, 59(3), 1202–1216.

    Article  MathSciNet  MATH  Google Scholar 

  7. Liu, L., Zhang, R., & Chua, K. C. (2013). Wireless information transfer with opportunistic energy harvesting. IEEE Transactions Wireless Communications, 12(1), 288–300.

    Article  Google Scholar 

  8. Liu, L., Zhang, R., & Chua, K. C. (2014). Secrecy wireless information and power transfer with MISO beamforming. IEEE Transactions on Signal Processing, 62(7), 1850–1863.

    Article  MathSciNet  MATH  Google Scholar 

  9. Xiang, Z., & Tao, M. (2012). Robust beamforming for wireless information and power transmission. IEEE Wireless Communications Letters, 1(4), 372–375.

    Article  MATH  Google Scholar 

  10. Zhang, L., Liang, Y. C., Pei, Y., & Zhang, R. (2009). Robust beamforming design: From cognitive radio MISO channels to secrecy MISO channels: Proceedings of the IEEE global communication conference (GLOBECOM).

  11. Huang, J., & Swindlehurst, A. L. (2012). Robust secure transmission in MISO channels based on worst-case optimization. IEEE Transactions on Signal Processing, 60(4), 1696–1707.

    Article  MathSciNet  Google Scholar 

  12. Liu, L., Zhang, R., & Chua, K. C. (2013). Wireless information and power transfer: A dynamic power splitting approach. IEEE Transactions on Communications, 61(9), 3990–4001.

    Article  Google Scholar 

  13. Luo, Z. Q., Ma, W. K., So, A. M. C., Ye, Y., & Zhang, S. (2010). Semidefinite relaxation of quadratic optimization problems. IEEE Signal Processing Magazine, 27(3), 20–34.

    Article  Google Scholar 

  14. Ng, D. W. K., & Schober, R. (2013). Resource allocation for secure communication in systems with wireless information and power transfer: Proceedings of the IEEE Globecom Workshops (GC Wkshps).

  15. Ng, D. W. K., Xiang, L., & Schober, R. (2013). Multi-objective beamforming for secure communication in systems with wireless information and power transfer: Proceedings of the IEEE PIMRC, pp. 7–12.

  16. Shi, Q., Liu, L., Xu, W., & Zhang, R. (2013). Joint transmit beamforming and receive power splitting for MISO SWIPT systems. arXiv:1304.0062v2.

  17. Grant, M. & Boyd, S. CVX: Matlab software for disciplined convex programming, version 2.1. http://cvxr.com/cvx/

  18. Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge: Cambridge University.

    Book  Google Scholar 

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning(NRF-2013R1A1A1012448). This work was also supported by the INHA university.

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Correspondence to Daeyoung Park.

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Yu, X., Park, D. Optimal Beamforming Design for Information and Power Transmission in the Presence of Eavesdroppers. Wireless Pers Commun 83, 2193–2209 (2015). https://doi.org/10.1007/s11277-015-2508-x

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  • DOI: https://doi.org/10.1007/s11277-015-2508-x

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