Evaluation method for health degree of multidimensional wireless network

A wireless network and health degree technology, applied in wireless communication, electrical components, etc., can solve the problems of not being able to understand the overall health of the network, check the health of the network, etc., achieve efficient network health, high real-time performance, and meet large data volumes Effect

Active Publication Date: 2015-01-28
四川公用信息产业有限责任公司
View PDF3 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method cannot understand the overall health of the network, and

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
  • Evaluation method for health degree of multidimensional wireless network
  • Evaluation method for health degree of multidimensional wireless network
  • Evaluation method for health degree of multidimensional wireless network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] figure 1 It is a flow chart of the multi-dimensional wireless network health evaluation method of the present invention.

[0032] In this example, if figure 1 As shown, a multi-dimensional wireless network health evaluation method of the present invention is characterized in that it includes the following steps:

[0033] T1), Hadoop collects source data from the underlying data source;

[0034] In this embodiment, Hadoop is from base station controller (BSC, Base Station Controller), operation and maintenance center (OMC, Operation and Maintenance Center), mobile switching center (MSC, Mobile Switching Center), call detailed tracking system (CDT, Call Detail Trace ) and other underlying data sources to collect source data;

[0035] T2), Hadoop classifies the source data according to the dimensions, and divides the source data of the same dimension into one category;

[0036] Hadoop classifies the collected source data according to dimensions such as coverage, perfor...

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 evaluation method for health degree of multidimensional wireless network, the method comprises the steps as follows: confirming the dimension impacting health degree of the current wireless network in each classified source data through Hadoop, and the index parameter being corresponding to each dimension, combining the dimension and index parameter of the dimension for building the evaluation algorithm model of multidimensional health degree, comparing the obtained synthesis score to obtain the health state of wireless network and storing the health state of wireless network in the result list of the vertica database. The administrator and optimization personnel can conveniently and effectively master the network health state meeting the development trend of the current wireless network.

Description

technical field [0001] The invention belongs to the technical field of mobile communication networks, and more specifically, relates to a multi-dimensional wireless network health evaluation method. Background technique [0002] With the continuous development of communication technology and the intensification of market competition, telecom operators have entered an era of more intense competition. For operators, the quality of network services will directly affect users' perception and evaluation of services. In order to improve customer satisfaction, operators usually establish some key performance indicators (Key Performance Indicators, referred to as KPI) on the basis of daily data to detect the quality of network performance, evaluate network quality, and evaluate the quality of network services , to better improve services. [0003] After the wireless network is put into operation, network operators are very concerned about how to evaluate the network operation quali...

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
IPC IPC(8): H04W24/02
CPCH04W24/02H04W24/08
Inventor 杨乐冯杰叶奎向阳杨帆何健雄胡贵宾魏亚男
Owner 四川公用信息产业有限责任公司
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