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Security Performance of Underlay Cognitive Relaying Networks with Energy Harvesting

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Abstract

An unlicensed relay is located between an unlicensed sender and an unlicensed recipient for securing the sender’s message against a wire-tapper in underlay cognitive networks when the sender–recipient channel is inaccessible. The energy in the sender’s signals is harvested by the relay which utilizes that harvested energy for its signal transmission. To assess expeditiously the security capability, a precise formula of secrecy outage probability is suggested. This formula is then substantiated by computer simulations. Notably, the appropriate selection of system specifications including the time percentage, the relay’s location, the power percentage can drastically enhance the security capability of underlay cognitive relaying networks with energy harvesting. Also, the security capability is constant when one of two power curtailments of unlicensed senders (interference power curtailment and peak transmit power curtailment) is relaxed.

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Notes

  1. In this paper, “transmitter”, “receiver”, “sender”, “recipient” are the short forms of “licensed transmitter”, “licensed receiver”, “unlicensed sender”, “unlicensed recipient”, respectively.

  2. The possibility which the signal-to-noise ratio (SNR) is lower than a preset level is called the COP.

  3. The PSCP is the likelihood which the secrecy capacity is positive [10].

  4. The SOP is the likelihood which the secrecy capacity is lower than a predetermined security level [10].

  5. In this paper, “direct transmission” or “direct communication” refers to the communication paradigm in which no relay is employed to connect the sender with the recipient.

  6. It is assumed that the energy consumption of the message decoder is neglected, which is a common assumption in most published works (e.g., [8, 9, 11,12,13,14,15] and references therein).

  7. In underlay cognitive networks, licensed transmitters beget interferences on unlicensed recipients. These interferences are ignorable because either they are assumed to follow the Gaussian distribution or the transmitter–recipient distance is sufficiently distant. The assumption on ignoring these interferences is quite common in researching the cognitive radio technology (e.g., [18,19,20] and references therein).

References

  1. Ali, Z., Sidhu, G. A. S., et al. (2019). A joint optimization framework for energy harvesting based cooperative CR networks. IEEE Transactions on Cognitive Communications and Networking, 5(2), 452–462.

    Article  Google Scholar 

  2. Miridakis, N. I., Tsiftsis, T. A., et al. (2017). Simultaneous spectrum sensing and data reception for cognitive spatial multiplexing distributed systems. IEEE Transactions on Wireless Communications, 16(5), 3313–3327.

    Article  Google Scholar 

  3. Lei, H., Xu, M., et al. (2017). On secure underlay MIMO cognitive radio networks with energy harvesting and transmit antenna selection. IEEE Transactions on Green Communications and Networking, 1(2), 192–203.

    Article  Google Scholar 

  4. Shi, H., Cai, Y., et al. (2019). Physical layer security in an untrusted energy harvesting relay network. IEEE Access, 7, 24819–24828.

    Article  Google Scholar 

  5. Miridakis, N. I., Tsiftsis, T. A., et al. (2018). MIMO underlay cognitive radio: Optimized power allocation, effective number of transmit antennas and harvest-transmit tradeoff. IEEE Transactions on Green Communications and Networking, 2(4), 1101–1114.

    Article  Google Scholar 

  6. Mishra, D., & Alexandropoulos, G. C. (2018). Transmit precoding and receive power splitting for harvested power maximization in MIMO SWIPT systems. IEEE Transactions on Green Communications and Networking, 2(3), 774–786.

    Article  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  8. Quang, P. M., Duy, T. T., et al. (October, 2016). Performance evaluation of underlay cognitive radio networks over Nakagami-m fading channels with energy harvesting. In Proceedings of the IEEE international conference on advanced technologies for communications, HaNoi, Vietnam, 10–12 (pp. 108–113).

  9. Zhang, J., Pan, G., et al. (2016). On physical-layer security in underlay cognitive radio networks with full-duplex wireless-powered secondary system. IEEE Access, 4, 3887–3893.

    Article  Google Scholar 

  10. Alexandropoulos, G. C., & Peppas, K. P. (2018). Secrecy outage analysis over correlated composite Nakagami-\(m\)/Gamma fading channels. IEEE Communications Letters, 22(1), 77–80.

    Article  Google Scholar 

  11. Mou, W., Yang, W., et al. (October, 2016). Secure transmission in spectrum-sharing cognitive networks with wireless power transfer. In Proceedings of the IEEE international conference on wireless communications and signal processing, JiangSu, China, 13–15, pp. 1–5.

  12. Lei, H., Xu, M., et al. (December, 2016). Secrecy outage performance for underlay MIMO CRNs with energy harvesting and transmit antenna selection. In Proceedings of the IEEE global communications conference, Washington DC, USA, 4–8, pp. 1–6.

  13. Singh, A., Bhatnagar, M. R., et al. (2016). Secrecy outage of a simultaneous wireless information and power transfer cognitive radio system. IEEE Wireless Communications Letters, 5(3), 288–291.

    Article  Google Scholar 

  14. Liu, Y., Wang, L., et al. (2016). Secure D2D communication in large-scale cognitive cellular networks: a wireless power transfer model. IEEE Transactions on Communications, 64(1), 329–342.

    Article  Google Scholar 

  15. Raghuwanshi, S., Maji, P., et al. (September, 2016). Secrecy performance of a dual hop cognitive relay network with an energy harvesting relay. In Proceedings of the IEEE international conference on advances in computing, communications and informatics, Jaipur, India, 21–24, pp. 1622–1627.

  16. Zhou, X., Zhang, R., et al. (2013). Wireless information and power transfer: Architecture design and rate-energy trade-off. IEEE Transactions on Communications, 61(11), 4754–4767.

    Article  Google Scholar 

  17. Nasir, A. A., Zhou, X., et al. (2013). Relaying protocols for wireless energy harvesting and information processing. IEEE Transactions on Wireless Communications, 12(7), 3622–3636.

    Article  Google Scholar 

  18. Zhang, X., **ng, J., et al. (2013). Outage performance study of cognitive relay networks with imperfect channel knowledge. IEEE Communications Letters, 17(1), 27–30.

    Article  Google Scholar 

  19. Seyfi, M., Muhaidat, S., et al. (2013). Relay selection in cognitive radio networks with interference constraints. IET Communications, 7(10), 922–930.

    Article  Google Scholar 

  20. Nguyen, M., Nguyen, N., et al. (2017). Secure cooperative half-duplex cognitive radio networks with \(K\)-th best relay selection. IEEE Access, 5, 6678–6687.

    Article  Google Scholar 

  21. Zhao, R., Yuan, Y., et al. (2017). Secrecy performance analysis of cognitive decode-and-forward relay networks in Nakagami-\(m\) fading channels. IEEE Transactions on Communications, 65(2), 549–563.

    Article  Google Scholar 

  22. Biglieri, E., Proakis, J., et al. (1998). Fading channels: information-theoretic and communications aspects. IEEE Transactions on Information Theory, 44(6), 2619–2692.

    Article  MathSciNet  Google Scholar 

  23. Zou, Y., Wang, X., et al. (2013). Physical-layer security with multiuser scheduling in cognitive radio networks. IEEE Transactions on Communications, 61(12), 5103–5113.

    Article  Google Scholar 

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Acknowledgments

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number B2019-20-01.

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology, Vietnam National University - Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Khuong Ho-Van & Thiem Do-Dac

  2. Thu Dau Mot University, Thu Dau Mot City, Vietnam

    Thiem Do-Dac

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  1. Khuong Ho-Van
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  2. Thiem Do-Dac
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Correspondence to Thiem Do-Dac.

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Ho-Van, K., Do-Dac, T. Security Performance of Underlay Cognitive Relaying Networks with Energy Harvesting. Wireless Pers Commun 110, 829–846 (2020). https://doi.org/10.1007/s11277-019-06758-4

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