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Method for detecting active eavesdropping users in large-scale MIMO system by using random signal method

A random symbol and large-scale technology, which is applied in the field of wireless communication, physical layer security mechanism, and large-scale antenna system, can solve the problems of large detection time overhead, difficult detection, and limited performance, and achieve the effect of improving reliability

Active Publication Date: 2017-04-19
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Disadvantages of this scheme: the detection performance of this scheme depends on the randomness of signals and channels when legitimate users send pilot symbols to the base station in uplink communication. When the signal transmission power of active eavesdropping users is small, or the two When the channels are not completely independent, it becomes very difficult to use this scheme to detect
[0011] Disadvantages of this scheme: This scheme only compares the signal power in the uplink and downlink directions as the basis for judgment, and its performance is limited by the inherent defects of the energy detection method. Usually, more observations need to be accumulated to achieve a more ideal detection effect. The detection time overhead is relatively large
[0012] In summary, the existing massive MIMO systems have no effective measures to detect active eavesdropping users

Method used

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  • Method for detecting active eavesdropping users in large-scale MIMO system by using random signal method
  • Method for detecting active eavesdropping users in large-scale MIMO system by using random signal method
  • Method for detecting active eavesdropping users in large-scale MIMO system by using random signal method

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Experimental program
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Effect test

Embodiment 1

[0089] Embodiment 1. Method for detecting active eavesdropping users in massive MIMO system by random symbol method

[0090] 1. System model

[0091] This method is aimed at the massive MIMO system adopting the time division duplex communication mode, and assumes that the bidirectional communication channel between the user and the base station satisfies reciprocity.

[0092] 1. Massive MIMO system in time division duplex communication mode

[0093] Such as figure 1 As shown, before the communication starts, the legitimate user first sends a pilot symbol to the base station through the uplink channel. When the base station estimates the channel state information between the base station and the legal user, each base station antenna independently estimates the channel state information between the base station antenna and the legal user antenna by using the pilot symbols it receives. Based on the obtained channel state information, the base station recovers and demodulates ...

Embodiment 2

[0200] Embodiment 2. Performance Verification of the Method for Detecting Active Eavesdropping Users in Massive MIMO System Using Random Symbols According to the method described in Embodiment 1, the performance of the method for detecting active eavesdropping users based on random symbols is verified through computer simulation experiments. The performance verification experiment of this embodiment ( Figure 16-21 ), the random symbol set selects the 3PSK symbol set After verification, it can be seen that this set meets the selection criteria of the aforementioned random symbol set. The fusion method of the results of K detection experiments chooses the logical "OR" operation fusion method, that is, as long as there is an active eavesdropping user in the K detection experiment, it is finally determined that there is an active eavesdropping user in the system at this time.

[0201] 1. The detection performance results of the active eavesdropping user detection method using r...

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Abstract

The present invention relates to a method for detecting active eavesdropping users in a large-scale MIMO system by using a random symbol method. The method of the invention includes the following steps that: a random symbol sequence is set; a safe area is set; active eavesdropping users are detected independently; and results are fused, if a fused result indicates that a test statistic quantity formed by random symbol sequences received by a base station falls in the safe area, it is indicated that active eavesdropping users do not exist in the large-scale MIMO system, otherwise, active eavesdropping users exist in the large-scale MIMO system. As indicated by simulation tests, the random symbol method can effectively detect the active eavesdropping users in the large-scale MIMO system. In addition, the detection performance of the method is significantly improved with the increase of the number of the antennas of the base station of the system, the signal to noise ratio of the received signals of the base station, the power of the transmitted signals of the active eavesdropping users, and the length of the random symbol sequence. Compared with the performance of other two kinds of large-scale MIMO system active eavesdropping user detection methods, the performance of the method using the random symbol method of the invention is optimal.

Description

technical field [0001] The present invention relates to the fields of wireless communication, large-scale antenna system, and physical layer security mechanism, and specifically relates to a method for detecting active eavesdropping users in a massive MIMO system using a random symbol method, that is, using a random symbol sequence to detect active eavesdropping in a massive MIMO system user's method. Background technique [0002] Massive MIMO (multiple-input, multiple-output, multiple-input-multiple-output) systems, also known as massive MIMO communication systems or massive antenna systems, in massive MIMO systems, malicious users may intentionally interfere with legitimate users Pilot transmission in the uplink direction, thus causing security risks that affect the recovery of useful data in the uplink direction of legitimate users and the transmission of useful data in the downlink direction. [0003] Specifically, before each communication between the user (mobile stat...

Claims

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Application Information

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IPC IPC(8): H04B7/0413H04B17/00H04L29/06
CPCH04B7/0413H04B17/00H04L63/16
Inventor 刘铭王晓懿王东
Owner BEIJING JIAOTONG UNIV