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Cooperative spectrum sensing method based on free probability theory

A technology of collaborative spectrum sensing and probability theory, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problem of low spectrum sensing performance

Active Publication Date: 2014-05-14
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a cooperative spectrum sensing method based on free probability theory, which is suitable for MIMO communication environment, can obtain accurate received power from the received signal of the secondary base station, and solve the problem of low signal-to-noise ratio and small sample The problem of low spectrum sensing performance

Method used

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  • Cooperative spectrum sensing method based on free probability theory
  • Cooperative spectrum sensing method based on free probability theory
  • Cooperative spectrum sensing method based on free probability theory

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Embodiment 1

[0037] Such as figure 1 As shown, K secondary base stations BS distributed in different geographical locations 1 ,BS 2 ,...,BS K Cooperative sensing channel to determine whether the main base station is sending a signal. The primary base station and each secondary base station are equipped with N t And N r Two antennas, between them is the MIMO Rayleigh fading channel. When the main base station sends a signal, the sampling rate is 1 / T s , Then the sampling signal output by the k-th receiver at time n Can be expressed as

[0038] y k ( n ) = P k N t H k s ( n ) + v k ( n ) , k = 1 . . . k - - - ( 1 )

[0039] among them, Is the transmitted symbol vector at time n, its elements satisfy zero mean independent and identical distribution, and the variance is 1; Is the MIMO channel matrix between the transmitter and the k-th receiver. Its elements are complex Gaussian variables with a mea...

Embodiment 2

[0131] Such as figure 2 As shown, the present invention provides a cooperative spectrum sensing method based on free probability theory, which is suitable for MIMO communication environment, and specifically includes the following steps:

[0132] Step 1: Sample the received signals of multiple antennas of each secondary base station, and the sampled signals will be processed in a centralized manner;

[0133] Step 2: According to the noise variance of all received sampling signals and channels, with the help of the asymptotic free characteristic and Wishart distribution characteristic of the random matrix, the algorithm based on free deconvolution is used to solve the average received signal power of all receiving antennas That is, the detection statistics;

[0134] Step 3: According to the target false alarm probability p f ,Use Monte Carlo simulation to calculate the detection threshold τ in the presence of noise;

[0135] Step 4: Put Compare with τ to determine whether the main ba...

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Abstract

The invention discloses a cooperative spectrum sensing method based on a free probability theory. The cooperative spectrum sensing method is suitable for an MIMO communication environment and includes the steps that received signals of a plurality of antennas of all auxiliary base stations are sampled, and sampled signals are processed in a centralized mode; according to noise variance of all the received sampled signals and channels, by means of the asymptotic freedom characteristic and the Wishart distribution characteristic of a random matrix, the average received signal power (img file=' DDA0000463198220000011. TIF' wi=' 64' he=' 54' / ) of all receiving antennas is solved by the adoption of a free deconvolution algorithm, and namely statistics are detected; according to target false alarm probability pf, a detection threshold value tau is calculated by using MonteCarlo simulation under the condition that only noise exsits; finally (img file=' DDA0000463198220000012. TIF' wi=' 41' he=' 54' / ) is compared with tau to judge whether a main base station sends signals or not. The accurate receiving power can be obtained through the received signals of the auxiliary base stations, and moreover the spectrum sensing performance can be improved effectively particularly under the condition of a low signal to noise ratio and small samples.

Description

Technical field [0001] The present invention relates to the computer communication technology field of cognitive radio spectrum sensing, in particular to a cooperative spectrum sensing method based on free probability theory. Background technique [0002] Under the fixed spectrum allocation method commonly adopted by various countries, the utilization rate of most authorized frequency bands is very low, which has caused a great waste of wireless spectrum resources. On the other hand, with the rapid development of the wireless communication industry, available wireless spectrum resources are increasingly scarce. How to meet the explosive growth of wireless spectrum demand has become a common problem faced by global mobile communications. Therefore, as one of the effective ways to alleviate the shortage of wireless spectrum resources, cognitive radio has received widespread attention from academia and industry in recent years. The basic idea of ​​cognitive radio is spectrum reuse...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00H04B17/382
Inventor 王磊薛海涛周亮郑宝玉孟庆民
Owner NANJING UNIV OF POSTS & TELECOMM
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