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Artificial noise assisted large-scale MIMO security statistical precoding method

An artificial noise, large-scale technology, applied in the field of communication, can solve problems such as difficult and secure communication effects

Active Publication Date: 2019-07-05
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although some existing methods of using statistical channel information for secure transmission can reduce system overhead, it is difficult to have a good secure communication effect in the scenario where the beams of eavesdropping users and cell service users are highly overlapped

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  • Artificial noise assisted large-scale MIMO security statistical precoding method
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  • Artificial noise assisted large-scale MIMO security statistical precoding method

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Embodiment Construction

[0063] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0064] Such as figure 1 As shown, an artificial noise-assisted massive MIMO security statistical precoding method disclosed in an embodiment of the present invention mainly includes the following steps:

[0065] (1) The base station is configured with a large-scale antenna array, and uses a unified unitary transformation to achieve large-scale beam coverage for cell users. When the antenna array topology is determined, the unitary transformation matrix is ​​also determined. When the base station is configured with a large-scale uniform linear array and the distance between antenna elements is on the order of half a wavelength, the unitary transformation matrix is ​​a discret...

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Abstract

The invention provides an artificial noise assisted large-scale MIMO security statistical precoding method. In the method, a cell base station is configured with a large-scale antenna array, and large-scale beam coverage is realized on the whole cell by utilizing a unified unitary transformation matrix. The base station uses beam domains of legal users and eavesdropping users in a cell to count channel information and injects artificial noise into the channel to reduce the decoding capability of the eavesdropping users, and performs statistical precoding design on the signals sent to each legal user and the artificial noise sent to the eavesdropping users according to the criterion of maximizing the system reachable traversal security and rate lower bound. In the moving process of each legal user and each eavesdropping user, the base station intermittently acquires statistical channel information and dynamically updates a statistical precoding result. According to the invention, the problem that the base station side only knows the design of the beam domain secure transmission signal of the statistical channel information is solved, the realization complexity is reduced, and meanwhile, the introduction of artificial noise improves the security of system transmission.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a large-scale MIMO security statistical precoding method assisted by artificial noise in a communication scenario where eavesdropping users exist in a cell. Background technique [0002] Due to the broadcast characteristics of wireless transmission media, security has always been the most critical issue in wireless transmission. Traditional network layer encryption methods are based on certain computational complexity, which will cause additional overhead to the transmission system and be vulnerable to attacks. The physical layer security transmission design is to use the wireless channel properties to design the security transmission to ensure the confidentiality of the transmitted data. As a supplement to encryption at the network layer, the design of secure transmission at the physical layer has attracted widespread attention. [0003] Massive Multiple-Input Multiple-Ou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456
CPCH04B7/0456H04B7/0486
Inventor 尤力陈旭王闻今吴文谦熊佳媛徐益高西奇
Owner SOUTHEAST UNIV
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