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

Low Frequency Assisted Channel Estimation Method for High and Low Frequency Mixed Networking System

A hybrid networking and auxiliary channel technology, which is applied in channel estimation, transmission system, baseband system, etc., can solve the problems of large overhead, increased system overhead, and inability of users to access, etc., to reduce the normalized mean square error , the effect of reducing the complexity of the algorithm

Inactive Publication Date: 2019-12-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, hybrid beamforming and adaptive channel estimation based on hierarchical codebooks will bring a lot of overhead due to the combination of mmWave communication links and large-scale antenna arrays.
The channel estimation scheme is to search for the AoA / AoD that maximizes the channel gain by sending beam pairs in the entire [0,2π] range, which also increases the system overhead
On the other hand, when the signal-to-noise ratio is low, the base station searches for users in the entire [0,2π] range by sending beam pairs. At this time, when the actual communication distance is large and the signal-to-noise ratio is low, the beam transmitted by the base station will be Mobile users cannot be covered, resulting in users being unable to access
In this case, the performance of the general adaptive channel estimation algorithm is poor, which will lead to low precoding gain of the system

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
  • Low Frequency Assisted Channel Estimation Method for High and Low Frequency Mixed Networking System
  • Low Frequency Assisted Channel Estimation Method for High and Low Frequency Mixed Networking System
  • Low Frequency Assisted Channel Estimation Method for High and Low Frequency Mixed Networking System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Below in conjunction with accompanying drawing, technical solution of the present invention is described in further detail:

[0026] S1. Establish the Sub-6GHz microwave band channel model and millimeter wave channel model:

[0027] Such as figure 1 As shown, it is assumed that the sub-6GHz system and the mmWave system receiver antenna arrays are aligned with each other in the horizontal direction, and the physical dimensions of the antennas are the same. The use of large antenna arrays for mmWave systems means increased spatial resolution, narrower beams and more concentrated energy. Therefore, a collection of scatterers, which is regarded as a cluster (smaller array size) in Sub-6GHz, may be decomposed into multiple scatterers in the mmWave frequency band.

[0028] Compared with low-frequency transmission, millimeter waves suffer from severe path loss during air propagation, and the diffraction effect in the millimeter wave frequency band is almost negligible, so th...

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 belongs to the technical field of wireless communication, and particularly relates to a low-frequency assisted channel estimation method for a high and low frequency hybrid networking system. The invention utilizes spatial correlation of a millimeter wave channel and a microwave channel and discloses an algorithm which utilizes low-frequency band Sub-6GHz spatial information to assist in millimeter wave channel estimation. Firstly, a Sub-6GHz microwave band channel model and a millimeter channel model are established, and reasons that the spatial correlation of the high and low frequency system and low-frequency spatial information are available are illustrated. Then, a frequency correlation channel is established, dictionary matrices of a sending end and a receiving end of the millimeter wave channel are redesigned, and a millimeter wave channel direction with the best performance is primarily selected. Finally, precoded and synthesis codebooks are trained again by utilizing low-frequency information. Algorithm complexity is reduced, the channel is estimated more accurately, and a normalization error is reduced.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to millimeter-wave communication (millimeter-Wave (mmWave) communication), hybrid beamforming, adaptive channel estimation, out-of-band spatial information, multiple input multiple output technology (Multiple Input Multiple Output, MIMO) , specifically a low-frequency auxiliary channel estimation method involving a high-low frequency mixed networking system. Background technique [0002] The main idea of ​​the channel estimation scheme in the existing mmWave system is to adaptively search each codebook according to the codebook structure, so as to determine the index value of the precoding matrix and the synthesis matrix that maximize the received signal. Since the codebook corresponds to AoA (Angle of Arrive, angle of arrival) and AoD (Angle of Departure, angle of departure), AoA / AoD can be determined according to the index of the beamforming vector, thereby completing...

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): H04L25/02H04B7/06H04B7/0456
CPCH04B7/0456H04B7/0617H04L25/0202H04L25/0204H04L25/0242
Inventor 孔鑫鑫张忠培仵姣
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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