Feedback method based on ELM superposition CSI in FDD large-scale MIMO system

A technology of DET-ELM1 and CSI-ELM1, which is applied in the field of feedback based on ELM superimposed CSI, can solve the problems of large codebook dimension, difficulty in application, and occupied spectrum resources, so as to reduce the number of parameters, avoid the occupation of uplink bandwidth resources, and reduce the Effect of memory footprint and network training time

Active Publication Date: 2020-05-22
XIHUA UNIV
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional codebook-based CSI feedback scheme is difficult to apply due to the large number of antennas and the huge dimension of the required codebook; while the CS (compressed sensing) feedback technology that utilizes signal sparsity can reduce the system feedback to a certain extent overhead, but still occupy certain spectrum resources in the feedback process

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
  • Feedback method based on ELM superposition CSI in FDD large-scale MIMO system
  • Feedback method based on ELM superposition CSI in FDD large-scale MIMO system
  • Feedback method based on ELM superposition CSI in FDD large-scale MIMO system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0040] like figure 1 Shown, a kind of feedback method based on ELM stacking CSI in FDD massive MIMO system, described feedback method comprises:

[0041] S1. The user end reads the downlink channel state information and the uplink user sequence and performs superposition to obtain the superposition sequence, and then transmits;

[0042] S2. The base station recovers the downlink channel state information and the uplink user sequence in the received sequence by using the ELM interference cancellation network.

[0043] Further, the user end reads the downlink channel state information and the uplink user sequence and performs superposition to obtain the superposition sequence, and then implementing transmission includes:

[0044] S11. The user terminal reads the downlink chan...

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 relates to a feedback method based on ELM superposition CSI in an FDD large-scale MIMO system, which belongs to the technical field of wireless communication. The feedback method comprises the steps that a user side reads downlink channel state information and an uplink user sequence, carries out the superposition of the downlink channel state information and the uplink user sequence, obtains a superposition sequence, and then achieves transmission; and a base station end uses an ELM interference elimination network to recover downlink channel state information and the uplink user sequence in the obtained receiving sequence. Compared with non-superposition coding CSI feedback, the method has the advantages that uplink bandwidth resource occupation is completely avoided. Compared with superposition of CSI feedback based on deep learning, the method has the advantages that under the condition of keeping equivalent network recovery performance, the number of parameters is reduced, the memory occupation space is reduced, and the network training time is shortened.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a feedback method based on ELM superimposing CSI in an FDD massive MIMO system. Background technique [0002] As a key technology to meet the high spectral efficiency and energy efficiency of the future 5G (the fifth generation wireless communication) network, the FDD massive MIMO system can transmit power and system bandwidth without increasing the transmission power and system bandwidth through hundreds of antennas deployed at the base station. Provide wireless data services to more users. At the same time, many performance-improving operations in the FDD massive MIMO system (such as multi-user scheduling, rate allocation, and precoding at the transmitter, etc.) depend on the acquisition of accurate downlink channel state information (CSI, channel state information). In a frequency division duplex (FDD, frequency division duplex) massive MIMO system, the recipro...

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): H04B7/06H04B7/0413G06N3/08
CPCH04B7/0626H04B7/0636H04B7/0413G06N3/08Y02D30/70
Inventor 卿朝进蔡斌杜艳红阳庆瑶张岷涛
Owner XIHUA 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

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