论文标题
渠道状态无信息的噪音噪声位置私人关系增强
Channel State Information-Free Artificial Noise-Aided Location-Privacy Enhancement
论文作者
论文摘要
在本文中，提出了一种人工噪声辅助策略，以保护位置私人关系。引入了一个新的用于减少位置易化泄漏的框架，其中设计的人造噪声旨在降低非法设备通道的结构，而无需在发射机上的通道状态信息。然后，基于位置私人增强框架，提出了发射光束形式以有效地注入结构化的人造噪声。此外，安全共享的信息的特征是使合法设备能够准确定位。数值结果表明，实现了非法设备的定位精度的9DB降解，并验证了结构化人工噪声与非结构化高斯噪声的疗效。
In this paper, an artificial noise-aided strategy is presented for location-privacy preservation. A novel framework for the reduction of location-privacy leakage is introduced, where structured artificial noise is designed to degrade the structure of the illegitimate devices' channel, without the aid of channel state information at the transmitter. Then, based on the location-privacy enhancement framework, a transmit beamformer is proposed to efficiently inject the structured artificial noise. Furthermore, the securely shared information is characterized to enable the legitimate devices to localize accurately. Numerical results show a 9dB degradation of illegitimate devices' localization accuracy is achieved, and validate the efficacy of structured artificial noise versus unstructured Gaussian noise.
