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arXiv 1503.06361cs.ITmath.IT
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广义干扰对齐-II部分:无线安全应用

Generalized Interference Alignment --- Part II: Application to Wireless Secrecy

Liangzhong Ruan, Vincent K. N. Lau, Moe Z. Win

摘要:

与有线通信相比,由于无线传播介质的广播性质,无线通信非常容易被窃听。最近的工作已经提出了使用干扰来减少无线窃听网络中的窃听能力。然而,干扰对窃听接收器(ER)和合法接收器(LR)的并发影响尚未得到彻底的研究,需要仔细设计网络干扰,以充分利用干扰的潜力,实现无线保密。这两个部分的文件解决了这个问题,提出了一个广义的干扰对齐(GIA)技术,该技术联合设计的收发器在合法的合作伙伴,以阻止ER而不干扰LR。在第一部分中,我们建立了一个理论框架的GIA技术。在第二部分中,我们将首先提出一个有效的GIA算法,适用于大规模的网络,然后通过分析和仿真来评估该算法在随机无线窃听网络中的性能。这些结果揭示了GIA何时以及如何有助于无线保密的见解。

英文摘要:

In contrast to its wired counterpart, wireless communication is highly susceptible to eavesdropping due to the broadcast nature of the wireless propagation medium. Recent works have proposed the use of interference to reduce eavesdropping capabilities in wireless wiretap networks. However, the concurrent effect of interference on both eavesdropping receivers (ERs) and legitimate receivers (LRs) has not been thoroughly investigated, and carefully engineering the network interference is required to harness the full potential of interference for wireless secrecy. This two part paper addresses this issue by proposing a generalized interference alignment (GIA) technique, which jointly designs the transceivers at the legitimate partners to impede the ERs without interfering with LRs. In Part I, we have established a theoretical framework for the GIA technique. In Part II, we will first propose an efficient GIA algorithm that is applicable to large-scale networks and then evaluate the performance of this algorithm in stochastic wireless wiretap network via both analysis and simulation. These results reveal insights into when and how GIA contributes to wireless secrecy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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