Massive MIMO (Multiple Input Multiple Output) channel estimation method

A channel estimation and channel technology, applied in channel estimation, radio transmission system, baseband system, etc., to achieve the effect of reducing overhead

Inactive Publication Date: 2017-02-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main purpose of the EM algorithm is to provide a simple iterative algorithm to calculate the posterior d

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
  • Massive MIMO (Multiple Input Multiple Output) channel estimation method
  • Massive MIMO (Multiple Input Multiple Output) channel estimation method
  • Massive MIMO (Multiple Input Multiple Output) channel estimation method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0049] The present invention will be further described in detail below in conjunction with specific embodiments.

[0050] figure 1 It is a schematic diagram of a multi-user massive MIMO channel.

[0051] Assuming that the number of users K=20, the base station and the user terminals are each configured with a uniform linear array (ULA), and the number of base station antennas is N=160, and the number of antennas for each user is the same and M=2. Assuming that the number of sparse support (sparseness) of each user channel is the same and S=15, the number of common sparse support Sc=8.

[0052] figure 2 It is a flowchart of multi-user massive MIMO channel estimation. According to the flowchart, the algorithm can be simulated using the above parameters.

[0053] S1, initialization, specifically:

[0054] S11, BS broadcasts T pilot signals X to 20 MSs in T time slots P =[x (1) ,x (2) ,...,x (T) ]∈C N×T , Where the number of BS antennas N is 160, and the pilot signal X in the MIMO chann...

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 belongs to the technical field of wireless communication, and particularly relates to a channel estimation algorithm for a multi-user massive MIMO (Multiple Input Multiple Output) system under a frequency division duplex (FDD) mode. In the multi-user massive MIMO system, channel estimation is realized by a sparse signal recovering technology through an inference method based on Bayes compressed sensing, and channel estimation overhead of the FDD massive MIMO system can be lowered greatly.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a channel estimation algorithm of a multi-user large-scale multiple input multiple output (Multiple Input Multiple Output, MIMO) system in a frequency division duplex (FDD) mode. Background technique [0002] The massive MIMO system is one of the key technologies of the fifth generation mobile communication system. Its main advantages are: the system capacity increases with the increase of the number of antennas; the transmission signal power is reduced; the simple current precoder and detector can achieve the maximum Excellent performance; the area between channels is orthogonalized, which eliminates co-channel interference in the cell. [0003] The prerequisite for realizing these advantages is that the base station (BS) knows the channel state information (CSIT). In a Time Division Duplex (TDD) system, channel estimation is performed at the user end...

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): H04L25/02H04B7/0452
CPCH04L25/024H04B7/0452H04L25/0242
Inventor 孙晶晶成先涛
Owner UNIV OF ELECTRONIC 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