Check patentability & draft patents in minutes with Patsnap Eureka AI!

Covariance matrix estimation method for distributed antenna system

A covariance matrix and distributed antenna technology, applied in the field of mobile communications, can solve the problems of low channel estimation accuracy and the unknown covariance matrix, etc., and achieve the effect of low computational complexity and elimination of interference and noise

Active Publication Date: 2021-07-02
SOUTHEAST UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Technical problem: The present invention aims at the channel estimation problem of the distributed antenna system under the condition of unknown covariance matrix, and proposes a method for distributed antenna system under the condition of unknown covariance by changing the training pilot to eliminate interference and noise Covariance matrix estimation method to solve the problem that the existing technology does not consider the unknown covariance matrix, resulting in low accuracy of channel estimation in reality

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
  • Covariance matrix estimation method for distributed antenna system
  • Covariance matrix estimation method for distributed antenna system
  • Covariance matrix estimation method for distributed antenna system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] Below in conjunction with example, the present invention is described in detail:

[0062] Suppose a non-cellular massive MIMO system adopts time division duplex (TDD) mode, there are M=5 APs, and each AP has N=50 antennas. There are K=10 users in this area. It is assumed that these users are equipped with a single antenna and are distributed independently. At the same time, a pilot multiplexing scheme is adopted to improve the utilization rate of pilot resources. The channel model consists of three parts: path loss, shadow fading and small-scale fading, which can be expressed as in, Let the path fading factor α=3.7, the reference distance is 1, s m,k For shadow fading variables satisfying exponential normal distribution, h m,k Represents small-scale fading, whose elements obey the standard Rayleigh distribution Thus the uplink channel g from user k to all APs k Satisfy which is The transmit power of each user is ρ=1W, and the noise σ 2 =-63dBm. K users sen...

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 covariance matrix estimation method for a distributed antenna system, and aims at solving the channel estimation problem of a cellular-free large-scale MIMO system under the condition that a covariance matrix is unknown. Accurate channel estimation is provided under the condition that the covariance is unknown by changing a training pilot frequency to eliminate interference and noise, so that the problem that in the prior art, unknown covariance matrixes are not considered, so that the accuracy of channel estimation is not high under the actual condition is solved. In addition, according to the estimated channel information, a large-scale matrix theory is utilized to calculate the spectrum efficiency of the system, and the performance of the system is analyzed. According to the method provided by the invention, no extra pilot frequency is added, only a special structure for sending the pilot frequency is utilized, interference and noise are effectively eliminated, the calculation complexity is not high, the method is suitable for various wireless communication systems, in addition, the random matrix theory is utilized for evaluating the system performance, the method can be expanded to various occasions, and the method has certain value.

Description

technical field [0001] The invention relates to a method for estimating a covariance matrix used in a distributed antenna system, belonging to the technical field of mobile communication. Background technique [0002] With the rapid development of the mobile Internet, the requirements for high system throughput, low latency, ultra-reliability and near-instant connectivity are increasing, requiring more innovative technologies to pave the way for the development of post-5G and 6G technologies. Cell-free distributed massive MIMO (multi-input multi-output) is an innovative scalable network MIMO. A large number of APs distributed in an area serve all users in the same time-frequency resource. Cell-free distributed massive MIMO can get all the advantages of massive MIMO (beneficial to propagation and channel strengthening when using multiple antennas at the AP) and network MIMO (increased macro-diversity gain), therefore, it has very high spectral efficiency, energy efficiency a...

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): H04L25/02H04B7/0413
CPCH04L25/0226H04L25/0242H04L25/025H04B7/0413
Inventor 李佳珉叶枫朱鹏程王东明尤肖虎
Owner SOUTHEAST UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com