An optimization method of beamforming in the environment of active eavesdropping based on millimeter wave communication

Abstract

The invention discloses a beamforming optimization method in an active eavesdropping environment based on millimeter wave communication. The method transforms the millimeter wave clustering ray channel model into a discrete angle domain channel model, so as to map the paths in the transmission cluster into normalized The column vector of the unitary matrix U composed of array responses; the adaptive power allocation factor η that maximizes the system security rate is calculated based on convex optimization theory * ; From the column vector of the unitary matrix U, corresponding to the corresponding column vector when the eavesdropper propagates alone, based on the calculated optimal power allocation factor η * , generate the artificial noise beamforming matrix and send the information signal. Aiming at the sparse characteristics of the millimeter wave channel, the method transforms the millimeter wave clustering ray channel model into a discrete angle domain channel model for analysis, and adopts an adaptive transmission scheme based on artificial noise beamforming to effectively improve the confidentiality rate of the communication system , reduce the eavesdropping ability of eavesdropping users, and improve the security of the communication system.

Description

technical field [0001] The invention belongs to the technical field of physical layer security in wireless communication, and in particular relates to a beamforming optimization method in an active eavesdropping environment based on millimeter wave communication. Background technique [0002] In recent years, the development of wireless communication has enabled people to access wireless communication networks anytime and anywhere. However, the broadcast nature of wireless communication means that all nodes within the transmission range can receive the signal from the source, and the information of legitimate users is easily obtained by eavesdropping users. Therefore, it is particularly important to ensure the secure transmission of wireless communication. Compared with traditional physical layer methods, physical layer security aims to use the physical layer characteristics of wireless communication, such as noise, fading, etc., to ensure the security of wireless communica...

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Problems solved by technology

[0006] (2) Due to the use of highly directional beams, the SNR received by the eavesdropper may be very low, making it impossible to recover the useful signal in the eavesdropped message;

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