Abstract
This paper investigates two different anti-jamming scenarios for wireless networks in which there exist one jammer and multiple users. The jammer jams all the users simultaneously. In one scenario, the users and the jammer sense the opponent’s information, and take appropriate strategies accordingly. This scenario is modeled as a Stackelberg game in which the jammer acts as a leader, and the users act as followers. In another scenario, the users and the jammer take actions simultaneously and the anti-jamming problem is modeled as a static game. The existence and uniqueness of game equilibrium are proved. Closed-form expressions of the Stackelberg equilibrium (SE) and the Nash equilibrium (NE) are derived. Simulation results are presented to validate our theoretical analysis. It is shown that the users’ average utility of the SE is lower than that of the NE since the jammer can reduce the users’ utilities by utilizing the leader advantage to improve its own utility.






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Sharma, R. K., & Rawat, D. B. (2015). Advances on security threats and countermeasures for cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 17(2), 1023–1043.
Zou, Y., Zhu, J., Wang, X., & Hanzo, L. (2016). A survey on wireless security: Technical challenges, recent advances, and future trends. Proceedings of the IEEE, 104(9), 1727–1765.
Ding, G., Wu, Q., Yao, Y., Wang, J., & Chen, Y. (2013). Kernel-based learning for statistical signal processing in cognitive radio networks: Theoretical foundations, example applications, and future directions. IEEE Signal Processing Magazine, 30(4), 126–136.
Zhang, L., Ding, G., Wu, Q., Zou, Y., Han, Z., & Wang, J. (2015). Byzantine attack and defense in cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 17(3), 1342–1363. Third Quarter.
Fudenberg, D., & Tirole, J. (1991). Game theory. Cambridge: The MIT Press.
Altman, E., Avrachenkov, K., & Garnaev, A. (2007) A jamming game in wireless networks with transmission cost. In Proceedings of the 2007 NET-COOP (pp. 1–12).
Altman, E., Avrachenkov, K., & Garnaev, A. (2009) Jamming in wireless networks: the case of several jammers. In Proceedings of the 2009 GameNets (pp. 585–592).
Bardan, R., Brahma, S., & Varshney, P. K. (2016). Strategic power allocation with incomplete information in the presence of a jammer. IEEE Transactions on Communications, 64(8), 3467–3479.
Stackelberg, V. (1934). Marketform und Gleichgewicht. Oxford: Oxford University Press.
Tang, X., Ren, P., & Wang, Y. et al. (2015). Securing wireless transmission against reactive jamming: A Stackelberg game framework. In Proceedings of the 2015 IEEE GLOBECOM (pp. 1–6).
Xiao, L., Xie, C., & Chen, T. et al. (2016). Mobile offloading game against smart attacks. In Proceedings of the 2016 IEEE INFOCOM (pp. 403–408).
Yang, D., Zhang, J., Fang, X., Richa, A., & Xue, G. (2012). Optimal transmission power control in the presence of a smart jammer. In Proceedings of the 2012 GLOBECOM (pp. 5506–5511).
Yang, D., Xue, G., Zhang, J., Richa, A., & Fang, X. (2013). Coping with a smart jammer in wireless networks: A Stackelberg game approach. IEEE Transactions on Wireless Communications, 12(8), 4038–4047.
Xiao, L., Chen, T., Liu, J., & Dai, H. (2015). Anti-jamming transmission Stackelberg game with observation errors. IEEE Communications Letters, 19(6), 949–952.
Jia, L., Yao, F., Sun, Y., et al. (2016). Bayesian stackelberg game for antijamming transmission with incomplete information. IEEE Communications Letters, 20(10), 1991–1994.
Goldsmith, A. (2005). Wireless communications. New York: Cambridge University Press.
El-Bardan, R., Brahma, S., & Varshney, P. K. (2014). Power control with jammer location uncertainty: A game theoretic perspective. In Proceedings of the 2014 48th annual conference on information sciences and systems (CISS) (pp. 1–6).
Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge: Cambridge University Press.
Zhang, R. (2010). On active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback. IEEE Transactions on Communications, 58(10), 2960–2970.
Zhang, L., Zhao, G., & Zhou, W. et al. Primary channel gain estimation for spectrum sharing in cognitive radio networks. IEEE Transactions on Communications. https://doi.org/10.1109/TCOMM.2017.27238852016, to be published.
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This work was supported in part by the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant BK20160034, in part by the National Science Foundation of China under Grant 61631020, Grant 61401508, Grant 61671473 and Grant 61401505 , and in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratory.
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Yu, L., Wu, Q., Xu, Y. et al. Power control games for multi-user anti-jamming communications. Wireless Netw 25, 2365–2374 (2019). https://doi.org/10.1007/s11276-018-1664-9
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DOI: https://doi.org/10.1007/s11276-018-1664-9