Supercharge Your Innovation With Domain-Expert AI Agents!

Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method

A design method and precoding technology, applied in radio transmission systems, electrical components, transmission systems, etc., can solve the problem of robust multi-cell precoding, etc., and achieve inter-cell interference suppression, low interaction overhead, and low computational complexity. degree of effect

Active Publication Date: 2021-09-28
SOUTHEAST UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, there is no research on multi-cell robust precoding based on a posteriori channel model

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
  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method
  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method
  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0064] Such as figure 1 As shown, it shows a flow chart of the multi-cell massive MIMO robust precoding design of the present invention, including:

[0065] (1) Establish the user's posterior channel model;

[0066] (2) Establish the user's interference plus noise covariance model and the covariance model of the received signal;

[0067] (3) Establish the user's traversal rate model or traversal rate upper bound model;

[0068] (4) Solve the weighted traversal and rate maximization problem or the weighted traversal and rate upper bound maximization problem to obtain the precoding iterative formula.

[0069] Such as figure 2 As shown, it shows the multi-cell cooperative massive MIMO robust precoding network-wide parallel distributed processing method based on maximizing weighted ergodic and rate upper bounds according to ...

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 multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method. The method comprises the following steps: (1) establishing a posterior channel model of a user; (2) establishing an interference and noise covariance model of a user and a covariance model of a received signal; (3) establishing a traversal rate model or a traversal rate upper bound model of the user; and (4) solving a weighted traversal and rate maximization problem or a weighted traversal and rate upper bound maximization problem to obtain a precoding iterative formula. According to the robust precoding design, the influence of channel estimation errors, channel aging and channel correlation on precoding can be resisted by establishing the posterior channel model of the user, and the problem of weighting and rate maximization is solved by modeling user interference and noise including inter-cell interference. The invention discloses three distributed processing methods with different information interaction quantities, and specifically realizes a multi-cell collaborative large-scale MIMO robust precoding design.

Description

technical field [0001] The present invention relates to a multi-cell cooperative precoding design and distributed processing method, in particular to a multi-cell cooperative massive MIMO robust precoding design and distributed processing method. Background technique [0002] Massive Multiple-Input Multiple-Ouput (M-MIMO) technology can not only serve multiple users simultaneously on the same time-frequency resources, but also achieve higher spectral efficiency by arranging a large number of antennas in the base station. And energy efficiency, become the key technology of 5G physical layer. Through cooperation between base stations, multi-cell technology can further improve the performance of massive MIMO systems. In multi-cell cooperation technology, base stations exchange channel information and user data information, so that the same user can be served by multiple base stations at the same time, and spatial multiplexing greatly improves the rate performance of users. Ho...

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): H04B7/0456
CPCH04B7/0456
Inventor 高西奇王晨卢安安孙晨
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