Abstract
Recently, the physical layer security technologies based on artificial noise and beamforming has been getting in focus. Although those schemes provide an idea to design security policies for wireless networks, most existing works mainly concentrate on the secrecy capacity analysis for known Channel State Information (CSI) of eavesdroppers, as well as the corresponding power allocation and algorithm optimization. Since the eavesdroppers may hide their own personal state information and steal confidential message in the wireless networks, we investigate the space power synthesis for multiple jamming signal in this work, so as to achieve the cooperative jamming in the case of unknown CSI. According to the superposition principle of various electromagnetic waves in space, the multiple jammers-based anti-eavesdropping model is formulated. Taking into account the free space fading, we study the total impact caused by the jammers with different locations in a limited region, and present the corresponding schemes to minimize the synthetic jamming power of all jammers at the legitimate user. Numerical simulation results demonstrate that our solutions to the cooperative jamming problem can make the strength of the synthesized interference power at the legitimate user be the lowest value in a confined region. Based on this, we can improve the system secrecy capacity when the CSI of eavesdropper is unknown.
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Acknowledgments
We are very grateful to all reviewers who have helped improve the quality of this paper. This work was supported by the National Natural Science Foundation of China (Grant Nos. 61471028 and 61572070) and the Fundamental Research Funds for the Central Universities (Grant No. 2016JBZ003).
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Fan, X., Huang, L., Huo, Y., Hu, C., Tian, Y., Qian, J. (2017). Space Power Synthesis-Based Cooperative Jamming for Unknown Channel State Information. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_42
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DOI: https://doi.org/10.1007/978-3-319-60033-8_42
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