MIMO transmission power distribution optimizing method based on robustness design

A technology for transmission power and allocation optimization, applied in power management, electrical components, wireless communication, etc., can solve the problems of incomplete CSIT, errors, inaccurate estimation and quantized channel information.

Inactive Publication Date: 2013-12-18
SOUTHEAST UNIV
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practice, CSIT is generally incomplete or has errors, which are mainly caused by imprecise estimation and qu

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MIMO transmission power distribution optimizing method based on robustness design
  • MIMO transmission power distribution optimizing method based on robustness design
  • MIMO transmission power distribution optimizing method based on robustness design

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] The purpose of robust design is to maximize the minimum signal-to-noise ratio of the channel. This is a max-min problem, in which the channel information and power allocation are expressed in the form of matrix functions. In the optimization process, we take advantage of the convexity and concaveness of the matrix function to optimize layer by layer. Without loss of generality, we can prove that the optimal solution can be obtained when the power allocation matrix is ​​diagonalized in the way of the channel matrix. The method of the present invention is produced based on this conclusion. The research object of this method is the scalar function obtained by the simplification of the diagonal matrix function. For this scalar function, we give the following channel power allocation scheme, so as to obtain the optimal solution of power allocation. Since obtainin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an MIMO transmission power distribution optimizing method based on robustness design. Firstly, convexity-concavity of a matrix function is utilized, a power distribution matrix is optimized to be a diagonal matrix and the diagonal matrix is simplified to be a scalar function. Consequently, the scalar function is combined to perform optimization on MIMO transmission power distribution. During optimization of MIMO transmission power distribution, the optimal solution without limited conditions is found out and then adjusted in a fine mode. The algorithm convergence and low operation quantity are ensured. Compared with an ordinary optimal solution obtaining algorithm, the MIMO transmission power distribution optimizing method based on the robustness design can obtain the optimal solution with little operation cost. In addition, as a reference value of power distribution is fixed in the first step, the problem of algorithm divergence does not exist.

Description

technical field [0001] The invention relates to a specific power allocation method for robust MIMO transmission when channel information is incomplete, and belongs to the problem of finding a power allocation strategy from imperfect channel information in a multi-antenna interference channel. Background technique [0002] As we all know, the performance of a MIMO (Multiple-Input Multiple-Out-put, multiple-input multiple-output) system largely depends on channel state information (Channel State Information, CSI for short). In order to realize the full benefits of the MIMO channel, channel state information (Channel State Information at the transmitter, CSIT for short) at the transmitting end can be obtained and an appropriate precoding technique can be used. If the complete CSIT can be obtained, there is already a mature MIMO optimized precoding technology in this case. However, in practice, CSIT is generally incomplete or has errors, which are mainly caused by inaccurate es...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04W72/08H04W52/36H04W52/42
Inventor 王家恒赵立成梁霄赵春明
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap