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

机译:从不完善的信道状态信息生成无线密钥:性能分析和改进

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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).
机译:在两个通信方从公共无线信道生成秘密密钥的基础是互惠性。但是,由于测量的同时性和不可避免的估计误差,总是存在偏差,并且会出现关键分歧。本文研究了利用不完善的信道声明信息(CSI)进行密钥生成的性能分析和改进。首先,导出密钥不一致率(KDR)的闭式表达式,以评估由时间延迟和估计误差引起的密钥不匹配。其次,提出了涉及密钥生成和私有数据传输之间的功率分配的能量效率。之后,提出了一种基于神经网络的预测算法,以提高密钥的一致性。仿真结果验证了理论分析,并表明NNBP取得了显着改进。有趣的是,NNBP算法在低信噪比(SNR)和高延迟条件下实现了更高的性能增益,这与其他方法(例如基于保护带的量化器(GBBQ))不同。

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