Codebook design method based on weighted voronoi graph against passive eavesdropping in MISO system

Abstract

The invention discloses a codebook design method for resisting passive eavesdropping in an MISO system based on a weighting Voronoi graph. The method comprises the steps of 1, taking optimum beam forming on theoretical significance and a corresponding traversal safety rate as references for measuring a safety performance loss; 2, calculating the traversal safety rate after adoption of quantified beam forming, and through combination of the traversal safety rate, obtaining a traversal safety rate loss; 3, defining and calculating a traversal nonzero safety rate loss according to the traversal safety rate loss, and carrying out optimization to obtain an upper bound and a corresponding codebook design standard; 4, establishing the weighting Voronoi graph in complex field Grassmann flow pattern space according to the codebook design standard; 5, with a purpose of minimizing the traversal nonzero safety rate loss, establishing an iterative algorithm VQ-WVD through adoption of an iterative offline training mode, and realizing the weighting Voronoi graph in the complex field Grassmann flow pattern space, generating code words, and obtaining a codebook based on the VQ-WVD.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to the research on the codebook design mechanism in the limited feedback MISO system oriented to physical layer security, in particular to the codebook design method based on the weighted Voronoi graph against passive eavesdropping in the MISO system. Background technique [0002] With the rapid development of wireless communication technology, security risks are gradually threatening and restricting the application and development of wireless communication technology. The broadcast characteristics of wireless channels can make harmful signal sources eavesdrop on the confidential and private information of other nodes or harm and interfere with the communication links of other normal nodes. At present, the upper-layer password encryption and decryption system can guarantee the security of the wireless communication environment to a certain extent, but with the devel...

AI Technical Summary

Problems solved by technology

However, this kind of information brings challenges to the design of the transmitter, especially the imprecise beamforming of the transmitter, which in turn leads to the leakage of more user information

When there are eavesdroppers around, this kind of information can be obtained by eavesdroppers, which will seriously affect the security rate of the system

Generally speaking, whether the quantized information is accurate or not depends on the design method of the codebook. The traditional codebook only considers the single-user channel model, resulting in inevitable user information leakage. Therefore, it is necessary to consider the two-user channel model, namely the wiretapping channel and legal channels, and reasonably design the codeword vectors in the codebook to reduce the legal receiver information leakage caused when the transmitter uses codewords for beamforming

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