A Hybrid Precoding Method Based on Channel Statistics Codebook Quantization Feedback

A channel statistics and precoding technology, applied in transmission systems, radio transmission systems, electrical components, etc., can solve the problems of reduced transmission performance and low quantization accuracy, and achieve simple operations, reduce quantization errors, and improve system capacity and performance. Effect

Active Publication Date: 2020-10-09
SOUTHEAST UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the existing technology, the present invention proposes a hybrid precoding method based on channel statistic codebook quantization feedback in a large-scale multi-antenna system, which is used to solve the adverse effects of the lower quantization accuracy of the existing schemes resulting in reduced transmission performance

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
  • A Hybrid Precoding Method Based on Channel Statistics Codebook Quantization Feedback
  • A Hybrid Precoding Method Based on Channel Statistics Codebook Quantization Feedback
  • A Hybrid Precoding Method Based on Channel Statistics Codebook Quantization Feedback

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] like figure 1 Shown, the present invention implements as follows:

[0038] 1) The system is based on the signal-to-noise SNR ratio of the base station’s transmitted signal, the number of base station antennas M, the number of users K, and the average spectral efficiency log of users 2 b and other information, according to the following formula to determine the number of feedback bits of analog precoding and effective channel information respectively B 1 and B 2 :

[0039]

[0040] Among them: log 2 b is the user average spectral efficiency; b 1 is an intermediate variable, log 2 b 1 is the user average spectral efficiency assuming that the effective channel has no channel estimation feedback error; log 2 b 2is the user’s average spectral efficiency loss caused by effective channel estimation feedback; if the base station side system structure is a sp...

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 hybrid pre-coding method based on quantitative feedback of a channel statistic codebook. The method specifically comprises the following steps that: firstly, a base station determines a feedback bit number of analog pre-coding and valid channel information based on the information of a signal-to-noise ratio of a transmitted signal, an antenna number, a user number and system spectrum efficiency; a user estimates channel information between the base station and the user after receiving the feedback bit number; then the user designs a quantification analog pre-coding vector of the base station for the user and feeds back the quantification analog pre-coding vector to the base station, and the base station integrates the feedback into an analog pre-coding matrix, performs analog pre-coding and transmits a training sequence of a valid channel being subjected to the analog pre-coding; the user estimate a valid channel after receiving the training sequence, and performs quantification by using a codebook based on channel statistic; and lastly, the user feeds back quantified valid channel information to the base station, and the base station performs digital pre-programming according to the fed-back channel information. The hybrid pre-coding method can be effectively applied to actual scenes; errors of channel quantification can be reduced fully; and meanwhile the capacity performance of a system is improved.

Description

technical field [0001] The invention relates to a hybrid precoding technology designed based on channel information quantization feedback, and belongs to the field of hybrid precoding transmission method design in large-scale antenna systems. Background technique [0002] In recent years, large-scale multi-antenna systems have gained widespread attention due to the development of 5G wireless communications. Research in recent years has pointed out that large-scale multiple-input multiple-output (MIMO) systems can significantly improve spectral efficiency and power efficiency, and use simple multi-user linear precoding schemes, such as matched filter (MatchedFilter, referred to as MF) or zero-forcing (ZF) precoding to obtain spatial multiplexing gain and obtain near-optimal performance. However, unlike traditional multi-antenna systems, with the substantial increase in the number of radio frequency (RF) chains, the dramatic increase in power consumption and hardware complexi...

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 Patents(China)
IPC IPC(8): H04B7/0413H04B7/0456
CPCH04B7/0413H04B7/0456
Inventor 许威杜劲波赵春明
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