Online robust distributed multi-cell large-scale MIMO precoding method

A large-scale, distributed technology, applied in wireless communication, space transmit diversity, radio transmission systems, etc., can solve the problem of error in the estimated value, and achieve the effect of reducing the complexity and speeding up the calculation speed.

Active Publication Date: 2021-12-24
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When estimating the statistical channel state information, due to pilot pollution and other reasons, the estimated value will have errors

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
  • Online robust distributed multi-cell large-scale MIMO precoding method
  • Online robust distributed multi-cell large-scale MIMO precoding method
  • Online robust distributed multi-cell large-scale MIMO precoding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further explained below in conjunction with the accompanying drawings.

[0045] Such as figure 1As shown, an online robust distributed multi-cell massive MIMO precoding method includes the following steps:

[0046] 1) Construct a cell cluster and configure an antenna array, and generate a beam set through beamforming:

[0047] Construct several cells into a cell cluster, and the base station of each cell in the cell cluster is equipped with a large-scale antenna array, and the number of antennas is 10 2 or 10 3 Order of magnitude, and generate a large-scale beam set that can cover all cells through beamforming;

[0048] Among them, the base station generates large-scale beams that can cover the entire cell through the same unitary transformation, and each beam divides space resources, and the base station communicates with users in the cell in the generated beam domain.

[0049] According to the multi-cell massive MIMO downlink communic...

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 an online robust distributed multi-cell large-scale MIMO precoding method. The method comprises the following steps that a cell cluster is constructed, antenna arrays are configured, and a beam set is generated through beam forming; base stations dynamically obtain statistical channel state information of users in cells; and each base station performs online multi-cell distributed large-scale MIMO beam domain power allocation by using a deterministic equivalent method, Charnes-Cooper transformation and an online gradient rising algorithm: in each stage of statistical channel state information changes, a power allocation matrix of the next stage is predicted according to all the channel state information obtained in the stage and the previous stages. According to the method, the energy efficiency of a system is effectively improved, the backhaul overhead is reduced by adopting distributed multi-cell cooperation, online precoding transmission can be carried out when channel state information changes, and certain robustness on channel estimation errors is achieved.

Description

technical field [0001] The invention relates to a distributed multi-cell massive MIMO precoding method. Background technique [0002] In a massive MIMO system, a large-scale antenna array is arranged at the base station to serve multiple users simultaneously. The use of massive MIMO technology can effectively reduce the interference between users and greatly improve the energy efficiency and spectral efficiency of wireless communication systems. Beam domain transmission means that the base station side converts the transmitted signal to the beam domain through a unified unitary transformation, making full use of the spatial angular resolution of the large-scale antenna array and the local characteristics of the user channel in the beam domain. [0003] In multi-cell coordinated transmission, base stations in several adjacent cells exchange information and cooperate to design precoding. Compared with single-cell transmission, it can significantly reduce co-channel interfere...

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): H04B7/0456H04B7/0426H04B7/06H04L25/02H04W52/24H04W52/42
CPCH04B7/0456H04B7/0626H04B7/0617H04B7/0426H04L25/0204H04L25/0224H04W52/42H04W52/24
Inventor 尤力黄雨菲黄珂琳仲文王闻今高西奇
Owner SOUTHEAST UNIV
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