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

Multi-user large-scale MIMO (Multiple-Input Multiple-Output) hybrid precoding energy efficiency optimization method

An optimization method and large-scale technology, applied in the field of wireless communication, can solve the problems of low energy efficiency and achieve the effect of improving energy efficiency and reducing cost efficiency

Active Publication Date: 2017-10-20
HUAZHONG UNIV OF SCI & TECH
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the purpose of the present invention is to provide a multi-user massive MIMO hybrid precoding energy efficiency optimization method, thereby solving the low energy efficiency technology in the existing massive MIMO scenario question

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-user large-scale MIMO (Multiple-Input Multiple-Output) hybrid precoding energy efficiency optimization method
  • Multi-user large-scale MIMO (Multiple-Input Multiple-Output) hybrid precoding energy efficiency optimization method
  • Multi-user large-scale MIMO (Multiple-Input Multiple-Output) hybrid precoding energy efficiency optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0029] Such as figure 1 Shown is a diagram of a massive MIMO hybrid precoding system disclosed in an embodiment of the present invention, considering a massive MIMO system with multiple users in a single cell. There are K active users, each with a single antenna. The base station has K baseband data streams flowing in, equipped with N RF Root radio frequency links, and each radio frequency li...

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-user large-scale MIMO (Multiple-Input Multiple-Output) hybrid precoding energy efficiency optimization method. Firstly, a constraint condition is relaxed, and iteration is carried out to obtain a theoretical upper limit of base station energy efficiency; and then, aiming to approach to the theoretical upper limit, a base band precoding matrix and a radio frequency precoding matrix are designed. The specific practice is that on a base band, solution of base band precoding is converted into a standard semi-definite relaxation problem capable of being solved by an interior point method; and on a radio frequency, solution of radio frequency precoding is converted into a vector approaching problem capable of being solved by phase rotation. An alternating minimization method is used and iteration is carried out to approach to the theoretical upper limit. By the multi-user large-scale MIMO hybrid precoding energy efficiency optimization method disclosed by the invention, energy efficiency can be obviously improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and more specifically relates to a multi-user massive MIMO hybrid precoding energy efficiency optimization method. Background technique [0002] Multiple-Input Multiple-Output (MIMO) is a wireless communication technology that uses multiple antennas to send and receive data in a wireless communication system. transmitted by multiple antennas. Based on the traditional MIMO system, the massive MIMO technology increases the number of transmitting and receiving antennas to dozens or even hundreds. As a new wireless communication technology, the massive MIMO system retains the advantages of the traditional MIMO system while increasing the number of antennas, which greatly increases the system capacity, which determines that the massive MIMO system has a good development prospect. [0003] 5G requires a 1,000-fold increase in capacity. To meet capacity demands, massive MIMO and mmWave...

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): H04B7/0456H04B7/0452H04B7/0426
CPCH04B7/0426H04B7/0452H04B7/0456H04B7/0465Y02D30/70
Inventor 葛晓虎孙扬韩涛李强
Owner HUAZHONG UNIV OF SCI & 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