Cooperative beamforming method of large-scale MIMO system

A beamforming, large-scale technology that can be used in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc.

Active Publication Date: 2020-05-19
INNER MONGOLIA UNIVERSITY
View PDF5 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] To sum up, in the existing literature, the performance of the traditional algorithm and the calculation delay are opposed, and the two cannot reach a high level a

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
  • Cooperative beamforming method of large-scale MIMO system
  • Cooperative beamforming method of large-scale MIMO system
  • Cooperative beamforming method of large-scale MIMO system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] 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.

[0081] In communication scenarios with large-scale antennas, beamforming design is crucial. The present invention considers that in a large-scale Multiple-Input and Multiple-Output (MIMO) heterogeneous network, under the constraints of the user's Quality of Service (QoS), a new system is proposed with the goal of maximizing system energy efficiency. A low-latency, energy-efficient cooperative beamforming algorithm.

[0082] Although the existing beamforming algorithms widely used in massive MIMO systems can achieve better system performance, the calculation delay increases significantly with the increase of the number of antennas, which is not suitable for massive MIMO systems. At the same time, in order to improve the practicability, although the...

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 cooperative beamforming method for a large-scale MIMO system, and belongs to the field of wireless communication. The method comprises the steps: constructing a downlink large-scale MIMO heterogeneous network among a macro base station, a small base station and a user; considering the circuit power consumption of the base station, researching a system energy efficiency optimization problem satisfying QoS and antenna transmitting power constraints, and fully mining characteristics of a neural network; through the satisfactory performance of deep learning in regressiveproblems, fitting an optimal beamforming solution by extracting channel gain matrix characteristics; performing offline training by utilizing the neural network, and transferring a part of calculationto an offline part. Only a small amount of linear and nonlinear calculation is needed when the trained neural network is applied to solve, and the time delay is greatly reduced while the energy efficiency of the system is improved.

Description

technical field [0001] The invention belongs to the field of wireless communication, in particular to a cooperative beamforming method of a massive MIMO system. Background technique [0002] With the rapid increase of wireless communication users' data volume, the next generation mobile network puts forward higher requirements on system capacity and transmission rate. The spatial dimension is the source of improving the performance of wireless communication systems, so theoretical research and practical applications are carried out along the direction of expanding the spatial dimension. Professor Thomas L.Marzetta of Bell Labs proposed that a system composed of a large-scale antenna array can lay the foundation for the further development of the spatial dimension, and greatly improve the spectral efficiency of the system at the base station, creating a large-scale beamforming technology. First of its kind. American researchers predict that in 2020, the carbon emissions of ...

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): H04B7/0456H04B7/06H04B7/08
CPCH04B7/0456H04B7/0617H04B7/086Y02D30/70
Inventor 张颖慧张彪那顺乌力吉刘洋
Owner INNER MONGOLIA UNIVERSITY
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