Cooperative Jamming-Aided Secrecy Enhancement in P2P Communications With Social Interaction Constraints
Cooperative Jamming-Aided Secrecy Enhancement in P2P Communications With Social Interaction Constraints
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DOI：
10.1109/tvt.2016.2553121
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发表时间：
2017-02-01
影响因子：
6.8
通讯作者：
Stuber, Gordon L.
中科院分区：
文献类型：
--
作者：
Wang, Li;Wu, Huaqing;Stuber, Gordon L.
这项工作考虑了内容源节点和内容请求者之间无线内容共享的可靠性和保密性增强问题。通过利用存在多个独立窃听者的多个节点的社会特征，本文首先研究了在协作无线网络中，移动性对源节点选择对传输可靠性的影响。在此基础上，研究了基于可信度和社交关系的协同干扰节点选择，为协同干扰提供保密性，同时对源节点和协同干扰节点进行适当的功率分配，使最坏情况遍历保密性最大化。具体而言，在综合考虑物理信道和社会特性的情况下，首先通过缩小潜在链路集来选择源发射机，以提供期望的传输成功率。此外，还研究了干扰机的社会交互行为对其可靠性的影响。本文没有关注全通道状态信息（CSI），而是研究了只知道统计CSI知识的更实际的情况。我们的优化是基于保密率的上界和下界来简化功率优化问题，而不会造成明显的性能损失。对社会特征的影响进行了额外的绩效分析。最后，提出了一种一维搜索方法，进一步降低了功率优化的计算复杂度。
This work considers the problemof reliability and secrecy enhancement for wireless content sharing between a content source node and a content requester. By exploiting the social characteristics of multiple nodes in the presence of multiple independent eavesdroppers, this paper first investigates the impact of mobility for source node selection for transmission reliability, within a cooperative wireless network. Furthermore, trustworthiness and social-tie-based jammer node selections are explored for cooperative jamming to provide secrecy, while allocating power appropriately to the source node and the cooperative jammer node to maximize the worst-case ergodic secrecy rate. Specifically, the source transmitter is selected by first narrowing the potential link set to provide the desired transmission success rate while considering the physical channel and social characteristics jointly. Moreover, the effect of jammer dependability based on its social interactive behavior is also investigated. Instead of focusing on full channel state information (CSI), this paper also investigates the more practical case in which only statistical CSI knowledge is known. Our optimization is based on the upper and lower bounds to the secrecy rate to simplify the power optimization problem without noticeable performance loss. Additional performance analysis for the impact of social characteristics is given. Finally, a one-dimensional search is proposed to further reduce the computational complexity of the power optimization.