Beam forming algorithm of multi-user pairing virtual multi-input multi-output (MIMO) system

A beamforming, multi-user technology, applied in diversity/multi-antenna systems, transmission systems, space transmit diversity and other directions, which can solve the problem of low transmission efficiency

Active Publication Date: 2013-07-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Based on the principle of maximizing the signal-to-interference-plus-noise ratio, this method determines the beamforming vectors of the paired users one by one, approaching the optimal situation, and solves the problem that the virtual multiple-input-output system fails to utilize the terminal's multiple-antenna resources when a single-user terminal...

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
  • Beam forming algorithm of multi-user pairing virtual multi-input multi-output (MIMO) system
  • Beam forming algorithm of multi-user pairing virtual multi-input multi-output (MIMO) system
  • Beam forming algorithm of multi-user pairing virtual multi-input multi-output (MIMO) system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0118] Specific embodiment one: as figure 1 As shown, the scheduling algorithm is used to schedule 10 users on the entire user frequency band, and then the pairing algorithm is used to pair the 10 scheduling users to form a 2-user virtual multiple input and output system (the number of scheduling users is 10, and the 10 scheduling users are respectively There is a paired user, so a 2-user virtual multiple input and output system is formed), at this time M=10, N m =1.

[0119] Step 1: Determine the uplink beamforming vector w of the 10 scheduled users in the virtual multiple-input-output system (1,1) 、w (2,1) ...,w (10,1) , the w (1,1) 、w (2,1) ...,w (10,1) are the matrices The eigenvector corresponding to the largest eigenvalue, and ||w (1,1) || 2 =1,||w (2,1) || 2 =1,...,||w (10,1) || 2 = 1, where are the channel matrices between the transmit antennas of the scheduled users 1, 2, ..., 10 and the base station receive antennas when transmitting data uplink in ...

specific Embodiment 2

[0125] Specific embodiment two: use the scheduling algorithm to schedule 5 users on the entire user frequency band, and then use the determinant pairing algorithm to pair the 5 scheduling users to form a 3-user virtual multiple input and output system. At this time, M=5, N m =2(m=1,2,...,5).

[0126] Step 1: Determine the uplink beamforming vector w of the 5 scheduled users in the virtual MIMO system (1,1) 、w (2,1) ...,w (5,1) , the w (1,1) 、w (2,1) ...,w (5,1) are the matrices The eigenvector corresponding to the largest eigenvalue, and ||w (1,1) || 2 =1,||w (2,1) || 2 =1,...,||w (5,1) || 2 = 1, where are the channel matrices between the transmit antennas of the scheduled users 1, 2, ..., 5 and the base station receive antennas when transmitting data uplink in the virtual multiple-input-output system. When calculating the beamforming matrices of the five scheduled users, the Interference with other users to this user.

[0127] Step 2: The base station calcul...

specific Embodiment 3

[0138] like figure 2 As shown, the pairing process is as follows when the number of paired users is n=3:

[0139] Step 0: Set k 1 (x) represents user x itself, k 2 (x) represents the first paired user of user x, k 3 (x) represents the second paired user of user x, ..., k n+1 (x) represents the nth paired user of user x, i∈Ω, Ω represents the set of users who have not allocated resource blocks when the VMIMO system transmits data uplink, Λ 1 is the set of users who have allocated resource blocks when the VMIMO system transmits data uplink, Ω and Λ 1 The collection of is the entire user collection.

[0140] Step 1: Calculate the channel capacity value D of user x according to formula (45) 1 (x)

[0141] D 1 ( x ) = M x + Σ m = 1 M ...

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 relates to a multi-input multi-output wireless communication system, in particular to a beam forming algorithm of a multi-user pairing virtual multi-input multi-output (MIMO) system. Directing at the problems in the prior art, the beam forming algorithm of the multi-user pairing virtual MIMO system is provided. Based on a maximized signal to interference plus noise power ratio standard, beam forming vectors of paired users are determined one by one and are enabled to approach an optimal condition, the problems that when a single-user terminal is provided with a plurality of antennas, the virtual MIMO system cannot utilize terminal multi-antenna resources so that transmission efficiency is not high are resolved. Due to the fact that the user terminal is provided with the plurality of antennas, base station receiving signal to interference plus noise power ratio is improved under the scene of an uplink virtual MIMO system transmission, and accordingly transmission quality is improved. The beam forming algorithm is applied to the field of virtual MIMO system uplink data transmission.

Description

technical field [0001] The invention relates to a multiple-input multiple-output wireless mobile communication system, in particular to a beamforming algorithm of a multi-user paired virtual MIMO system. Background technique [0002] In various fields where electromagnetic wave technology is applied, especially in wireless communication, Multiple-Input Multiple-Output (Multiple-Input Multiple-Out-put, hereinafter referred to as MIMO) technology has been widely used. Virtual MIMO (Virtual MIMO, hereinafter referred to as: VMIMO) system, that is, each terminal sends a data stream, but two or more data streams occupy the same time-frequency resources, so that from the perspective of the receiver, these data streams from different terminals Data streams can be viewed as data streams from different antennas on the same terminal, thus forming a VMIMO system. The VMIMO system does not require upgrading the terminal hardware specifications, but it can greatly improve the system upl...

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): H04B7/04H04B17/00H04B17/345
Inventor 赵宏志郑博文唐友喜
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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