Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Large-scale antenna channel estimation method based on millimeter wave intelligent reflector communication

A large-scale antenna and channel estimation technology, applied in the direction of reducing energy consumption, baseband system, baseband system components, etc., can solve the problems of large number of antennas, unbearable channel estimation complexity, and no consideration of millimeter wave MIMO channel model, etc. Achieving the effect of good solution efficiency and accelerated convergence speed

Active Publication Date: 2021-05-07
SOUTH CHINA UNIV OF TECH
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the prior art, due to the large number of antennas, the channel estimation complexity is unbearable, and the traditional multi-antenna Multiple Input Multiple Output (MIMO) channel estimation method may not be directly applicable to millimeter-wave MIMO systems
Therefore, although there are a large number of algorithms currently used for channel estimation under the millimeter-wave MIMO channel model, the millimeter-wave MIMO channel model under the introduction of Intelligent Reflecting Surface (IRS) is not considered, which cannot meet the needs of the development of realistic communication technologies

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
  • Large-scale antenna channel estimation method based on millimeter wave intelligent reflector communication
  • Large-scale antenna channel estimation method based on millimeter wave intelligent reflector communication
  • Large-scale antenna channel estimation method based on millimeter wave intelligent reflector communication

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0098] Such as figure 1 As shown, this embodiment discloses a method for estimating a millimeter-wave MIMO channel based on a hybrid multi-objective evolutionary algorithm based on an intelligent reflective surface, and the steps are as follows:

[0099] S1. Construct a communication scene with dense interference. The line-of-sight communication between the base station and the user is blocked and interrupted. Reflective surfaces are deployed in this scene to help improve communication coverage; first, collect the beamforming vector used by the base station to send signals to The reflective surface, users receive signals from the reflective surface at different times, forming two relay channel connections.

[0100] S2. According to the channel in the above scenario, it can be found that the channel is a series structure, and its estimation is quite difficult; therefore, using the Kronecker product, the IRS-enhanced mm-wave MIMO communication channel model is converted into a s...

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 discloses a large-scale antenna channel estimation method based on millimeter wave intelligent reflector communication. The method comprises the following steps: collecting a beam forming vector adopted by a base station; collecting signals received by a user at different moments; a Kronecker product is utilized to convert the channel model into a sparse recovery problem; performing mutation operation and crossover operation on the channel model; performing CS reconstruction by using an LB-based local search algorithm; and carrying out selection operation and obtaining a final decision. The method has the advantages that the IRS technology is utilized, the coverage range of the millimeter wave MIMO communication system is enhanced, compressed sensing is adopted, the hybrid multi-objective evolutionary algorithm is utilized to solve the reconstruction problem of compressed sensing, and therefore the channel estimation precision of the millimeter wave MIMO communication system based on the intelligent reflecting surface technology is improved.

Description

technical field [0001] The invention relates to the technical fields of reflective surface enhanced communication and compressed sensing, in particular to an intelligent reflective surface enhanced millimeter wave MIMO channel estimation method based on a hybrid multi-objective evolutionary algorithm. Background technique [0002] With the growth of 5G users, how to improve the system capacity and transmission rate of 5G communication technology is still the main challenge at present, and further increasing the number of antennas is still an important direction for the evolution of MIMO technology. MIMO technology means that the capacity and spectrum utilization of the communication system can be doubled without increasing the bandwidth. It can be defined as there are multiple independent channels between the transmitting end and the receiving end, that is to say, there is a sufficient interval between the antenna elements, therefore, the correlation between the signals betw...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04B17/391H04L25/02
CPCH04B7/0413H04B17/391H04L25/0242H04L25/0256Y02D30/70
Inventor 唐杰陈真章秀银霍万良唐珩膑
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com