Airspace flow feature extraction method considering user distribution

A technology of traffic characteristics and extraction methods, which is applied in the fields of electrical components, wireless communication, network planning, etc., to achieve the effect of reducing computational complexity, small feature dimension, and conducive to high-accuracy unsupervised classification

Active Publication Date: 2017-05-10
NAT UNIV OF DEFENSE TECH
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, this distance-based modeling method in the airspace remains to be explored

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
  • Airspace flow feature extraction method considering user distribution
  • Airspace flow feature extraction method considering user distribution
  • Airspace flow feature extraction method considering user distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] figure 1 It is a flow chart of feature extraction and classification of traffic patterns in the present invention.

[0036] S1 establishes the XOY two-dimensional plane coordinate system based on the existing traffic shape distribution, and obtains the user coordinates in the defined plane area.

[0037] In this embodiment: the 1600*1600 plane area is divided into N*N grids, and the unit grid width is 1600 / N. Divide each user's X and Y coordinates by 1600 / N and round up. Based on the rounded X and Y coordinates, the number of users located in the i-th row and j-column grid is counted, and stored in a(i, j) in the matrix a(N, N), and the matrix a(N , N) is N*N, then each parameter in the matrix a(N, N) intuitively reflects 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 provides an airspace flow feature extraction method considering user distribution. Firstly a two-dimensional plane coordinate system is established based on the existing flow form so that user coordinates within the designated plane area are acquired; secondly N*N grid division is performed on the designated plane area by using a grid division method, statistics of the number of the users in each grid interval is performed to act as the flow distribution feature of a certain sample, and then 2*2 unit window unit overlap sliding is performed on the feature and statistics of the total number of the users in each sliding window is performed to act as the newly extracted flow distribution feature; then unsupervised classification is performed based on the new flow distribution feature; and finally the base station deployment state of each flow mode represented by a class center is taken to test the user coverage of all the samples in each class. The clustered distribution features of the users in the space can be effectively captured so that the calculation complexity is ensured to be low and the accuracy of feature extraction can be enhanced, and thus the prophase guarantee can be provided for the flow form classification task.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and relates to a method for extracting airspace traffic characteristics of user distribution. Background technique [0002] In wireless cellular networks, SINR statistics are crucial to the research related to network performance. The strength of received signals and interference is very dependent on the collective characteristics of the network, that is, the relative positions of the sender and receiver. Therefore, the traffic characteristics in space have great influence on Network performance has a direct impact. [0003] In wireless cellular networks, much research has been done on traffic modeling in the time domain, but less research has been done on traffic modeling in the air domain, which mainly reflects the spatial distribution of users. Existing studies have fitted the base station distribution and user data obtained from operations, and by analyzing the fitted...

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): H04W16/18H04W16/22
CPCH04W16/18H04W16/22
Inventor 周力魏急波赵海涛张姣黄圣春程然赵俣
Owner NAT UNIV OF DEFENSE TECH
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