Scopus

Power allocation policy and performance analysis of secure and reliable communication in cognitive radio networks

Năm XB 2019 Tạp chí / Hội thảo Wireless Networks Volume 25 (4) DOI / Link https://doi.org/10.1007/s11276-017-1605-z ↗

Tác giả

Tóm tắt

This paper investigates the problem of secure and reliable communications for cognitive radio networks. More specifically, we consider a single input multiple output cognitive model where the secondary user (SU) faces an eavesdropping attack while being subject to the normal interference constraint imposed by the primary user (PU). Thus, the SU must have a suitable power allocation policy which does not only satisfy the constraints of the PU but also the security constraints such that it obtains a reasonable performance for the SU, without exposing information to the eavesdropper. We derive four power allocation policies for different scenarios corresponding to whether or not the channel state information of the PU and the eavesdropper are available at the SU. Further, we introduce the concept secure and reliable communication probability (SRCP) as a performance metric to evaluate the considered system, as well as the efficiency of the four power allocation policies. Finally, we present numerical examples to illustrate the power allocation polices, and the impact of these policies on the SRCP of the SU.

Tài liệu tham khảo

[1] Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.

[2] Datla, D., Wyglinski, A . M., & Minden, G . J. (2009). A spectrum surveying framework for dynamic spectrum access networks. IEEE Transactions on Vehicular Technology, 58(8), 4158–4168.

[3] Gastpar, M. (2007). On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory, 53(2), 471–487.

[4] Tran, H. (2013). Performance analysis of cognitive radio networks with interference constraints. Dissertation, Blekinge Institute of Technology, Karlskrona.

[5] Musavian, L., & Aissa, S. (2009). Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information. IEEE Transactions on Communications, 57(11), 3472–3480.

[6] Mitola, J. (Nov. 1999). Cognitive radio for flexible mobile multimedia communications. In Proceedings of IEEE international workshop mobile multimedia communication, San Diego (pp. 3–10).

[7] Jovicic, A., & Viswanath, P. (2006). Cognitive radio: An information-theoretic perspective. In Proceedings of IEEE ISIT, Seattle (pp. 2413–2417).

[8] Akhtar, F., Rehmani, M. H., & Reisslein, M. (2016). White space: Definitional perspectives and their role in exploiting spectrum opportunities. Telecommunications Policy, 40(4), 319 – 331. http://www.sciencedirect.com/science/article/pii/S0308596116000124

[9] Abdelhadi, A., Shajaiah, H., & Clancy, C. (2015). A multitier wireless spectrum sharing system leveraging secure spectrum auctions. IEEE Transactions on Cognitive Communications and Networking, 1(2), 217–229.

[10] Khan, A. A., Rehmani, M. H., & Reisslein, M. (2016). Cognitive radio for smart grids: Survey of architectures, spectrum sensing mechanisms, and networking protocols. IEEE Communications Surveys Tutorials, 18(1), 860–898.

[11] Saleem, Y. & Rehmani, M. H. (2014). Primary radio user activity models for cognitive radio networks: A survey, Journal of Network and Computer Applications, 43, 1 – 1. http://www.sciencedirect.com/science/article/pii/S1084804514000848

[12] Fragkiadakis, A. G., Tragos, E. Z., & Askoxylakis, I. G. (2013). A survey on security threats and detection techniques in cognitive radio networks. IEEE Communications Surveys & Tutorials, 15(1), 428–445.

[13] Zou, Y., Zhu, J., Yang, L., Liang, Y. C., & Yao, Y. D. (2015). Securing physical-layer communications for cognitive radio networks. IEEE Communications Magazine, 53(9), 48–54.

[14] Sanyal, S. Bhadauria, R. & Ghosh, C. (2009) Secure communication in cognitive radio networks. In Proceedings of international conference on computers and devices for communication (pp. 1–4).

[15] Alahmadi, A., Abdelhakim, M., Ren, J., & Li, T. (2013). Mitigating primary user emulation attacks in cognitive radio networks using advanced encryption standard. In Proceeedings of IEEE global communications conference (pp. 3229–3234).

[16] Wayner, A. D. (1975). The wire-tap channel. Bell Systems Technical Journal, 54(8), 1355–1387.

[17] Bloch, M., Barros, J., Rodrigues, M., & McLaughlin, S. (2008). Wireless information-theoretic security. IEEE Transactions on Information Theory, 54(6), 2515–2534.

[18] Mavoungou, S., Kaddoum, G., Taha, M., & Matar, G. (2016). Survey on threats and attacks on mobile networks. IEEE Access, 4, 4543–4572.

[19] Fragkiadakis, A., Tragos, E., & Askoxylakis, I. (2013). A survey on security threats and detection techniques in cognitive radio networks. IEEE Communications Surveys & Tutorials, 15(1), 428–445

[20] Leung-Yan-Cheong, S. K., & Hellman, M. E. (1978). The gaussian wiretap channel. IEEE Transactions on Information Theory, 24(1), 451–456.

[21] Pei, Y., Liang, Y.-C., Zhang, L., Teh, K., & Li, K. H. (2010). Secure communication over MISO cognitive radio channels. IEEE Transactions on Wireless Communications, 9(4), 1494–1502.

[22] Zou, Y., Li, X., & Liang, Y.-C. (2014). Secrecy outage and diversity analysis of cognitive radio systems. EEE Journal on Selected Areas in Communications, 32(11), 2222–2236.

[23] Attar, A., Tang, H., Vasilakos, A. V., Yu, F. R., & Leung, V. C. M. (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. IEEE Communications Surveys & Tutorials, 100(12), 31723186.

[24] Xiao, H., Yang, K., Wang, X., & Shao, H. (2012). A robust MDP approach to secure power control in cognitive radio networks. In Proceedings of IEEE international conference on communications, Ottawa (pp. 4642–4647).

[25] Pei, Y., Liang, Y.-C., Zhang, L., Teh, K. C., & Li, K. H. (2009). Achieving cognitive and secure transmissions using multiple antennas. In Proceedings of IEEE personal indoor mobile radio communication, Singapore (pp. 1–5).

[26] Pei, Y., Liang, Y.-C., Zhang, L., Teh, K. C., & Li, K. H. (2011) Increasing secrecy capacity via joint design of cooperative beamforming and jamming. In Proceedings IEEE personal indoor mobile radio communication, Toronto, ON (p. 12741278).

[27] Wang, C., & Wang, H.-M. (2014). On the secrecy throughput maximization for MISO cognitive radio network in slow fading channels. IEEE Transactions on Information Forensics and Security, 9(11), 1814–1827.

[28] Gabry, F., Zappone, A., Thobaben, R., Jorswieck, E. A., & Skoglund, M. (2015). A survey of security challenges in cognitive radio networks: Solutions and future research directions. IEEE Wireless Communications Letters, 4(4), 437440.

[29] Zou, Y., Wang, X., & Shen, W. (2013). Physical-layer security with multiuser scheduling in cognitive radio networks. IEEE Transactions on Communications, 61(12), 5103–5113.

[30] Sakran, H., Shokair, M., Nasr, O., El-Rabaie, S., & El-Azm, A. (2012). Proposed relay selection scheme for physical layer security in cognitive radio networks. IET Communications, 6(16), 2676–2687.

[31] Ha, D. B., Vu, T. T., Duy, T. T., & Bao, V. N. Q. (2015). Secure cognitive reactive decode-and-forward relay networks with and without eavesdroppers. Springer Wireless Personal Communications, 85(4), 2619–2641.

[32] Sibomana, L., Zepernick, H. J., & Tran, H. (2014). On physical layer security for reactive DF cognitive relay networks. In Proceedings of IEEE GLOBECOM, Austin, TX (pp. 1290–1295).

[33] Nguyen, V. D., Duong, T. Q., Dobre, O., & Shin, O. S. (2016). Joint information and jamming beamforming for secrecy rate maximization in cognitive radio networks. IEEE Transactions on Information Forensics and Security, 11(99), 1.

[34] Wu, Y., & Liu, K. (2011). An information secrecy game in cognitive radio networks. IEEE Transactions on Information Forensics and Security, 6(3), 831–842.

[35] Stanojev, I., & Yener, A. (2013). Improving secrecy rate via spectrum leasing for friendly jamming. IEEE Transactions on Wireless Communications, 12(1), 134–145.

[36] Sibomana, L., Tran, H., & Tran, Q. A. (2015). Impact of secondary user communication on security communication of primary user. Security and Communication Networks, Journal of Wiley, 41774190(99), 1–1.

[37] Zou, Y., & Wang, G. (2016). Intercept behavior analysis of industrial wireless sensor networks in the presence of eavesdropping attack. IEEE Transactions on Industrial Informatics, 12(2), 780–787.

[38] Ha, D. B., Vu, T. T., Duy, T. T., & Bao, V. N. Q. (2015). Secure cognitive reactive decode-and-forward relay networks: With and without eavesdroppers. Springer Wireless Personal Communications, 85(4), 2619–2641.

[39] Liu, Y., Wang, L., Duy, T. T., Elkashlan, M., & Duong, T. Q. (2015). Relay selection for security enhancement in cognitive relay networks. IEEE Wireless Communications Letters, 4(1), 46–49.

[40] Zou, Y., Zhu, J., Zheng, B., & Yao, Y. D. (2010). An adaptive cooperation diversity scheme with best-relay selection in cognitive radio networks. IEEE Transactions on Signal Processing, 58(10), 5438–5445.

[41] Bahrak, B., Bhattarai, S., Ullah, A., Park, J. M. J., Reed, J., & Gurney, D. (2014). Protecting the primary users’ operational privacy in spectrum sharing. In Proceedings of IEEE international symposium on dynamic spectrum access networks, McLean, VA, pp. 236–247.

[42] Zhou, X., McKay, M. R., Maham, B., & Hjorungnes, A. (2011). Rethinking the secrecy outage formulation: A secure transmission design perspective. IEEE Communications Letters, 15(3), 302–304.

[43] Liu, W., Zhou, X., Durrani, S., & Popovski, P. (2016). Secure communication with a wireless-powered friendly jammer. IEEE Transactions on Wireless Communications, 15(1), 401–415.

[44] Duy, T. T., Duong, T. Q., Thanh, T. L., & Bao, V. N. Q. (2015). Secrecy performance analysis with relay selection methods under impact of co-channel interference. IET Communications, 9(11), 1427–1435.

[45] Xu, X., He, B., Yang, W., Zhou, X., & Cai, Y. (2016). Secure transmission design for cognitive radio networks with poisson distributed eavesdroppers. IEEE Transactions on Information Forensics and Security, 11(2), 373–387.

[46] Zou, Y., & Zhu, J. (2016). Physical-layer security for cooperative relay networks. Berlin: Springer.

[47] Bloch, M., Barros, J., Rodrigues, M. R. D., & McLaughlin, S. W. (2008). Wireless information-theoretic security. IEEE Transactions on Information Theory, 54(6), 2515–2534.

[48] Tran, H., Hagos, M. A., Mohamed, M., & Zepernick, H.-J. (2013) Impact of primary networks on the performance of secondary networks. In Proceedings of international conference on computing, management and telecommunications, Ho Chi Minh City (pp. 43–48).

[49] ITU-R (2008). Requirements related to technical performance for IMT-advanced radio interface(s), Technical Report ITU-R M.2134.

[50] Garg, V . K. (2011). LTE-The UMTS long term evolution: From theory to practice. New York: Wiley.