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Spectrum sharing method based on channel learning in mimo cognitive radio jamming network

A cognitive radio and spectrum sharing technology, applied in wireless communication, network planning, electrical components, etc., can solve the problems that algorithms cannot be directly applied, lack of control of secondary user interference power leakage, etc., so as to improve the efficiency of spectrum sharing and solve coexistence problems. problems, the effect of avoiding interference

Active Publication Date: 2018-10-02
THE PLA INFORMATION ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above two improved algorithms are mainly researched on point-to-point links between secondary users, and lack the control of interference power leakage between secondary users. The algorithms cannot be directly applied to cognitive wireless networks or where there are multiple interference links.

Method used

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  • Spectrum sharing method based on channel learning in mimo cognitive radio jamming network
  • Spectrum sharing method based on channel learning in mimo cognitive radio jamming network
  • Spectrum sharing method based on channel learning in mimo cognitive radio jamming network

Examples

Experimental program
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Effect test

Embodiment 1

[0035] Embodiment one, see image 3 As shown, a spectrum sharing method based on channel learning in a MIMO cognitive radio interference network includes the following steps:

[0036] Step 1. According to the secondary user's communication requirements and antenna configuration, determine the degree of freedom d of each user's transmission k , set the sub-user internal interference threshold Г k , select the detection time length;

[0037] Step 2. The secondary user selects the communication frequency band and channel learning time, monitors the channel status in real time, and uses the received signal y 1k (n), calculate the sampling covariance matrix pair sampling covariance matrix Do eigenvalue decomposition get the eigenvalues and the orthogonal matrix of the interfering channel And adjust the selected frequency band according to the calculation results, so that the total number of sub-streams can meet in, m 0 The number of antennas for the primary user; ...

Embodiment 2

[0042] Embodiment 2 is basically the same as Embodiment 1, except that in step 4, the equivalent interference subspace matrix C is constructed l Specifically, according to the alternate minimization IA algorithm, the interference power leakage is described by the Frobenius norm of the matrix distance between the actual interference signal space and the preset interference space at the receiving end, and the spectrum problem is transformed into: where || || F Represents the matrix Frobenius norm; means B l Orthogonal complement space, that is, the equivalent interference subspace matrix C is obtained l ;Fix the equivalent precoding matrix A of each user k , transforming the problem into Among them, tr(A) represents the trace of matrix A, a is a fixed constant, and the optimal C l By N eq -d l The eigenvectors corresponding to the largest eigenvalues ​​are formed, where get

Embodiment 3

[0043] Embodiment 3 is basically the same as Embodiment 1, except that in step 5, the equivalent interference subspace matrix C is used l Symmetry Calculation of Subscripts k and l It specifically includes: fixing the equivalent interference subspace matrix C of each user l , using the symmetry of the subscripts k and l, we get Transmitter equivalent precoding A of secondary user l k Depend on the d k The eigenvectors corresponding to the smallest eigenvalues ​​are formed, that is, we get

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Abstract

The invention relates to a spectrum sharing method based on channel learning in an MIMO cognitive radio interference network. The spectrum sharing method obtains required spatial features of a primary user interference channel through analyzing second-order statistics of received data, integrates an MIMO multi-substream transmission and a cognitive multi-channel switching technology, designs a transmission strategy, avoids interference to a primary user, and improves the spectrum sharing efficiency. The spectrum sharing method aims at the coexistence problem of a secondary user interference network and a primary user system under deficiency of interference channel status information, takes spatial transmission capacity of an MIMO cognitive radio network into account, integrates the channel switching capacity of a primary user, combines an efficient spectrum sharing method of utilizing spatial and frequency resources, and is more efficient than the previous single resource utilization method. The spectrum sharing method analyzes influence of a secondary user on network performance by setting channel learning time, and shows that the interference power to the primary user can be effectively controlled through controlling the time. The spectrum sharing method carries out analysis in multiple aspects such as degree-of-freedom detection performance, primary user bit error rate, algorithm convergence and network capacity.

Description

technical field [0001] The invention relates to the field of radio technology, in particular to a frequency spectrum sharing method based on channel learning in a MIMO cognitive radio interference network. Background technique [0002] With the rapid development of wireless communication technology, especially the popularity and intelligence of mobile terminals, the demand for wireless spectrum is increasing day by day. However, the traditional spectrum allocation strategy does not consider the dynamic nature of user services, and the spectrum utilization rate is low, leading to an intensified contradiction between spectrum supply and demand. Cognitive radio technology has opened up a new way to alleviate the tension between supply and demand of spectrum through the "secondary utilization" of the allocated spectrum, and has become one of the most popular wireless technologies at present. Cognitive radio can detect the surrounding electromagnetic environment, adjust the syst...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/14
CPCH04W16/14Y02D30/70
Inventor 任修坤朱世磊胡捍英郑娜娥赵远陈松王盛李玉翔范立岩
Owner THE PLA INFORMATION ENG UNIV
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