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arXiv 1902.07050cs.ITmath.IT
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基于不完全信道状态信息的无线密钥生成:性能分析与改进

Wireless Key Generation from Imperfect Channel State Information: Performance Analysis and Improvements

Xinrong Guan, Ning Ding, Yueming Cai, Weiwei Yang

摘要:

通信双方在公共无线信道上生成秘密密钥的基础是互易性。然而,由于非同时测量和不可避免的估计误差,偏差总是存在的关键分歧发生。本文研究了利用不完全信道状态信息(CSI)生成密钥的性能分析和改进。首先,推导出密钥不一致率(KDR)的封闭表达式,以评估由时延和估计误差引起的密钥失配。其次,能量效率,包括密钥生成和私有数据传输之间的功率分配。在此基础上,提出了一种基于神经网络的预测算法(NNBP)来提高密钥一致性。仿真结果验证了理论分析的正确性,并表明NNBP算法取得了显著的改进.有趣的是,NNBP算法在低信噪比和高延迟条件下获得了更高的性能增益,这与其他方法,如基于保护带的量化器(GBBQ)不同。

英文摘要:

The basis of generating secret key from the common wireless channel at two communication parties is reciprocity. However, due to non-simultaneous measurements and unavoidable estimation error, bias always exists and key disagreement occurs. In this paper, performance analysis and improvements for key generation exploiting imperfect channel statement information (CSI) is studied. Firstly, the closed-form expression for key disagreement rate (KDR) is derived to evaluate the key mismatch caused by time delay and estimation error. Secondly, the energy efficiency involving power allocation between key generation and private data transmission is presented. After that, a neural network based prediction (NNBP) algorithm is proposed to improve the key consistency. Simulation results verify the theoretical analysis and show that NNBP achieves significant improvements. And it's interesting to find that NNBP algorithm achieves a higher performance gain in low signal-to-noise ration (SNR) and high delay condition, which is different from other methods, like guard band based quantizer (GBBQ).

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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