KR100639535B1 - System and method for determining ranking of service providers using Qos measurement data - Google Patents

Abstract

The present invention relates to a wireless environment ranking determination system and method for each operator by coverage classification using call quality measurement data. According to the present invention, after judging other companies having superior call quality using wireless environment measurement data of other companies, a plurality of sample groups are sampled by sampling the wireless environment measurement data of the other company and its wireless environment measurement data based on the same region. It generates the average, by measuring the call quality for each of the plurality of sample groups generated for each of the two companies, and T-test the call quality average for the two companies to determine the superiority or equality or inferiority between the two companies.

According to an embodiment of the present invention, the present invention enables an objective call quality evaluation between other companies in consideration of the amount of wireless environment measurement data between evaluation regions, and provides a criterion that suggests a need for optimizing call quality in inferior regions. .

QoS, sampling, grid, T-test, wireless environment

Description

System and method for determining wireless environment among carriers by coverage classification using call quality measurement data {System and method for determining ranking of service providers using Qos measurement data}

1 is a block diagram of a wireless environment ranking system according to the present invention.

2 is a flowchart illustrating a method for determining a radio environment ranking between providers by coverage classification using call quality measurement data according to the present invention;

3 is a view showing a sampling method using a grid according to the present invention.

4 is a diagram showing a sampling method using the number of measured data according to the present invention;

The present invention relates to a wireless environment evaluation method for a communication service, and more specifically, to compare the wireless environment of the company and the wireless environment of each other by coverage classification using call quality measurement data to determine the superiority, equality, and inferiority. It is about a method. Here, coverage classification refers to administrative districts, roads, special regions, inbuildings, etc.

The number of subscribers is increasing as mobile communication services become more common. Each mobile operator installs a base station or repeater or takes other measures to provide the best quality of service (QoS) to a large number of customers. And complaints related to call quality, such as dropped calls, interrupted calls, and lack of service in certain areas.

In addition, each mobile operator is trying to provide a better call quality than the call quality of other mobile operators by measuring the call quality in each region and comparing it with other mobile operators.

According to the current call quality measurement, each mobile operator collects call quality measurement data while moving the call quality measuring device on a mobile object such as a vehicle, and collects call quality measurement data frequently in areas with many callers. For example, call quality measurement data is often collected in regions with few callers, and the data collection unit area also varies according to the number of callers.

The call quality is measured by using call quality data of a specific unit region among the call quality measurement data collected as described above, and compared with call quality of other mobile communication providers.

However, when using a large number of call quality measurement data, a more reliable call quality result can be obtained.Therefore, there is a difference in reliability between call quality in regions where the number of collected data is different, and calls between two regions with different reliability Comparing quality cannot be an objective assessment.

Therefore, it is necessary to obtain reliable quality measurement results regardless of the volume of call quality measurement data and to make objective call quality evaluation between other mobile communication providers based on this.

The present invention was developed to satisfy the above needs, and an object of the present invention is to provide a method for determining a wireless environment ranking between operators by coverage classification that enables an objective call quality evaluation in consideration of the amount of call quality measurement data between evaluation regions.

In order to achieve the above object, the present invention compares the call quality of each third party with wireless environment measurement data of third parties collected for each region input from an operator, and selects the wireless environment measurement data of the third party that is superior as a comparison result. Wireless environment measurement server; Receiving wireless environment measurement data of another company from the wireless environment measurement server and receiving wireless environment measurement data of the company from an operator, and sampling two measurement data into a plurality of sample groups including a plurality of sample data based on the same region. Sampling server; A call quality measurement server obtaining call quality for each of a plurality of sample groups sampled by two companies by the sample sampling server and calculating a call quality average thereof; And a coverage environment using coverage quality measurement data using a call quality measurement data including a superiority determination server that determines the superiority, equality, and inferiority through the T-test on the average call quality of the two regions calculated by the call quality measurement server. Provide a ranking system.

In addition, the present invention for achieving the above object is a first step of determining the other company having the superior call quality using wireless environment measurement data of the third party; A second step of generating a plurality of sample groups by sampling the wireless environment measurement data of the other company and the wireless environment measurement data of the company determined in the first step based on the same region; A third step of measuring call quality for each of the plurality of sample groups generated by two companies; A fourth step of calculating an average of the measured call quality for each sample group and setting the average to the call quality of a corresponding region; And a fifth step of determining the superiority, equality, or inferiority between the two companies by T-testing the call quality average for each of the two companies.

The present invention also provides a recording medium having recorded thereon a program for executing the method.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the present invention, which may vary according to intention or custom of a user or an operator. Therefore, the definitions should be made based on the contents throughout the specification.

1 is a block diagram of a wireless environment ranking system according to the present invention. As shown in FIG. 1, a third party wireless environment information providing server 100, a wireless environment measurement server 200, a self office environment information providing server 300, a sample sampling server 400, and a call quality measurement server 500 are provided. And a superior determination server 600.

The third-party wireless environment information providing server 100 stores wireless environment measurement data of third parties collected for each region and provides the wireless environment measurement server 200 in response to a request of an operator. Here, the radio environment measurement data includes all radio data transmitted and received between the base station and the terminal, that is, radio data forwarded or reversed through a pilot channel, a synchronization channel, a paging channel, a traffic channel, and the like.

The wireless environment measurement server 200 determines which company (KTF (Korea Telecom Freetel) and LGT (LG Telecom)) has a better wireless environment (i.e., call quality) in a specific region and provides better wireless. This function selects companies with environment as the target of comparison. Here, the specific area is an area according to the coverage classification, that is, by administrative district, by road, by special area, or by inbuilding. In addition, the meaning of the in-building by the in-building means an area in which a predetermined communication device such as a wireless repeater is installed to accommodate a subscriber in a shaded and hard of hearing area in a building.

To this end, the wireless environment measurement server 200 is a good radio wave environment ratio (that is, the satisfaction of the reference value of the received signal strength and signal-to-noise ratio) from the wireless environment measurement data of each region received from the third-party wireless environment information providing server 100 After calculating the average of radio wave environmental goodness ratio (hereinafter, referred to as 'wireless environment average'), the average of radio wave environmental goodness ratio of each other company is compared. As a result of the comparison, the wireless environment measurement data of the mobile communication company having a high wireless environment average is provided to the sample sampling server 400.

For example of comparing the wireless environment average of KTF and LGT, the wireless environment measurement server 200 selects only KTF measurement data when KTF> LGT, and selects only LGT measurement data when KTF <LGT, and KTF = LGT. If is selected, the default company (either KTF or LGT) is selected.

The self office environment information providing server 300 stores its wireless environment measurement data collected by its data collector by wireless environment measurement data collection device for each region, and stores the measured data stored in response to the operator's request. Provided to the measurement server 200.

The sample sampling server 400 performs a function of sampling the measurement data to be compared to compare the measurement data of the company and the measurement data of another company selected by the wireless environment measurement server 200. That is, the sample sampling server 400 receives wireless environment measurement data of other companies from the wireless environment measurement server 200 and its wireless environment measurement data from the self office environment information providing server 300, and inputs the two companies. Data sampling is performed on wireless environment measurement data, and the sampled data is provided to the call quality measurement server 500.

The method of sampling the measurement data at this time is shown in FIGS. 3 and 4.

The measurement data sampling of the present invention targets the unit area by coverage classification. The unit area by coverage classification is a large area including a plurality of grids, and there is one QoS satisfaction data for each mobile operator in such a unit area. Here, the unit grid is a unit divided by an interval of about 1 km by the administrative district and the WGS84 coordinate system.

Since there is only one QoS satisfaction data for a wide area as in the prior art, if only the QoS satisfaction data is used, it is difficult to make an objective comparison and the reliability thereof is lowered.

Therefore, the present invention divides the unit area into detailed regions, and samples the measurement data for each divided region.

The method of dividing the unit area into detailed regions differs according to three cases. First, as shown in FIG. 3, when the unit region is divided into 25 or more grids, the unit region is divided into unit grids. Second, as shown in (a) of FIG. 4, when the unit area is divided into less than 25 grids, 30 sample groups are generated when the number of measurement data Dn for the unit area exceeds 900. The same number of measurement data is included in the 30 sample groups. Third, as shown in (b) of FIG. 4, when the unit area is divided into less than 25 grids, if the number of measurement data Dn for the unit area is less than 900, 10 measured data are collected in one. Split into sample groups.
Here, in the first case, the reference value for the number of unit grids is set to 25 because at least 25 to 30 samples are required to generate predetermined normal distribution statistics. In this case, a boundary value for the number of unit grids included in a predetermined unit area is set. Similarly, the reason for setting the reference value for the number of measurement data for the unit area to 900 reflects that at least 25 to 30 samples are required to generate predetermined normal distribution statistics. Likewise, when the number of unit grids included in the unit area is less than 25, the sample area is collected based on the number of measurement data as the number of samples for statistical analysis is small in the unit area. In this way, the sample group for the measurement data in the unit area is classified into 30 sample groups based on statistical data standards, and the number of measurement data included in each sample group is set to 30, thereby measuring the measurement data in the unit area. The threshold for the number of is set to 900.

The call quality measurement server 500 calculates a call quality value by using measurement data included in a grid or a sample group divided by the sample sampling server 400. The superiority determination server 600 performs a T-test on the call quality value measured by the call quality measurement server 500 to determine the superiority, inferiority or equality of the average of the wireless environment between the two companies.

Hereinafter, a method for determining a wireless environment ranking between operators according to an embodiment of the present invention will be described with reference to FIG. 2. 2 is a flowchart illustrating a method for determining a radio environment ranking between providers by coverage classification using call quality measurement data according to the present invention.

The quality measurement manager (measurement data collector) of the mobile carrier collects the wireless environment measurement data of the company and / or the third party in each region on a regular or random basis, and collects the collected wireless environment measurement data of the third party and the company's wireless. Store in the environmental information providing server (100, 300), respectively.

When the wireless environment measurement data for each area of each coverage classification is collected, the third-party wireless environment information providing server 100 by the administrator wirelessly collects wireless environment measurement data for each region of other companies (KTF, LGT) collected for a certain period of time. Provided to the environmental measurement server 200 (S201).

 The wireless environment measurement server 200 compares the wireless environment measurement data of the same region, and calculates an average of the radio environment of the radio wave environment good rate (satisfaction with the reference value of the received signal strength and signal to noise ratio) from the radio environment measurement data of each company. Calculate and compare the calculated radio environment average (S202).

The wireless environment measurement server 200 identifies a company having a high wireless environment average (ie, superior) through such a comparison, and provides only the wireless environment measurement data of the company to the sample sampling server 400 (S203). The sample sampling server 400 receives the wireless environment measurement data from the self office environment information providing server 300 when the wireless environment measurement data of another company is received (S204).

When the sampling server 400 receives wireless environment measurement data for each of the coverage classifications of the company and the third party, the sample sampling server 400 selects an area to be compared (that is, the area for each coverage classification) and reads the wireless environment measurement data of the selected area (S205). The sample sampling server 400 determines whether the number of unit grids divided by the selected area into unit grids is 25 or more or less than 25 (S206).

If the number of grids in the selected area is 25 or more, the sampling sampling server 400 classifies the radio environment measurement data for each grid based on the location where the radio environment measurement data is collected, and then classifies the radio environment measurement data for each classified grid to the call quality measurement server 500. Provided (S207).

On the other hand, if the number of grids in the selected area is less than 25, the sample sampling server 400 determines whether the number of measurement data of the region is 900 or more, and if more than 900, classify the measurement data of the region into 30 sample groups, In this case, the same number of measurement data is included in the 30 sample groups. Here, the measurement data included in each sample group is selected by a random sampling method. On the other hand, if the number of measurement data is less than 900, the sampling sampling server 400 divides the measurement data of the region by 10 and samples 30 sample groups of the sample groups of the divided 10 measurement data.

Generally, 30 samples in the sample group is the basic condition for satisfying the normal distribution assumption (needed at least 25-30 samples) of statistical sampling. However, using 30 samples results in very small data areas. Cannot be analyzed. Therefore, in the case of a small region, the present invention makes 30 sample groups and contains 10 sample data in each sample group, thereby partially satisfying a sampling method for a normal distribution hypothesis and enabling an analysis result. Since each sample group has only 10 sample data, it cannot partially satisfy 100% of the normal distribution assumption. However, repeating the wireless environment measurement in the same area will automatically improve.

When the sample sampling server 400 samples the measurement data as described above, the sample sampling server 400 provides the radio environment measurement data of the two companies sampled to the call quality measurement server 500 (S208).

When the call quality measurement server 500 receives the radio environment measurement data sample groups for specific regions of the two companies from the sample sampling server 400, the call quality measurement server 500 uses the measured data included in the sample groups for each sample group. After calculating the average of the calculated currency quality value (S209).

When the call quality measurement server 500 calculates an average of call quality of a sample region (or unit grid) for each region of two companies, the call quality measurement server 500 provides the average of the calculated call quality to the superior determination server 600 (S210).

The superior determination server 600 performs a T-test (independent sample T test) when receiving the average of the call quality of the received group of samples or more than 25 unit grid of each company (S211).

The T-test is a statistical test method for determining a difference between means of two independent groups and is a statistical test method for selecting one of a null hypothesis and an alternative hypothesis. The null hypothesis assumes that there is no difference between the means of the two groups, and the alternative hypothesis assumes that there is a difference between the means of the two groups.

If the null hypothesis is H0, the alternative hypothesis is H1, and the average of each company is u and u0, the null hypothesis (H0) is u = u0 and the alternative hypothesis (H1) is u ≠ u0.

The test method of the T-test by the superior determination server 600 calculates the T-test statistic to determine whether the difference between the two sample means is statistically significant, that is, the probability of the difference due to the sample error, that is, the significant probability (p- value). If the calculated probability is greater than the significance level (typically 0.05), the null hypothesis is adopted to determine that there is no difference between the two samples. If the significance probability is less than the significance level, the alternative hypothesis is adopted. After selecting one of the two hypotheses, the hypothesis is verified to determine the superiority, inferiority, and equality between the two companies with respect to the average wireless environment (S212). Here, the T-test is a technique already known in statistics and will not be described further.

As a result, through the above-described process, the present invention enables wireless environment ranking for three mobile communication companies. First, the rank between the two companies is determined in the wireless environment measurement server 200, and the rank between the company and the other company is determined by the superiority determination server 600.

Looking at the result of this determination, the following four determination results can be obtained.

1. When divided into three groups, in this case, three companies are ranked in order of superiority, equality and inferiority. 2. When divided into two groups, in this case one company is superior or inferior to the other two, and the two companies are equal. 3. When divided into one group, in this case all three companies are equal. 4. Where a company is included in two groups, in this case a company belonging to both groups is equivalent to each other in the hierarchy.

The technical spirit of the present invention has been described above with reference to the accompanying drawings, but this is by way of example only and not intended to limit the present invention. In addition, it is obvious that any person skilled in the art can make various modifications and imitations without departing from the scope of the technical idea of the present invention.

The present invention enables an objective call quality evaluation between other companies in consideration of the amount of data measured in the wireless environment between evaluation regions, and provides a criterion that suggests a need for optimization of call quality in an inferior region.

Claims (7)

A wireless environment measurement server for comparing the call quality of each other party with wireless environment measurement data of third parties collected for each region inputted from an operator, and selecting the wireless environment measurement data of a third party that is superior as a comparison result; Receiving wireless environment measurement data of another company from the wireless environment measurement server and receiving wireless environment measurement data of the company from an operator, and sampling two measurement data into a plurality of sample groups including a plurality of sample data based on the same region. Sampling server; A call quality measurement server obtaining call quality for each of a plurality of sample groups sampled by two companies by the sample sampling server and calculating a call quality average thereof; And Ranking of wireless environment among operators by coverage classification using call quality measurement data including superiority determination server that determines superiority, equality and inferiority through T-test of the average call quality average of the two companies calculated by the call quality measurement server Judgment system. The method of claim 1, The sample group sampled by the sample sampling server is a unit grid when the number of unit grids is 25 or more when the area is divided into unit grids. When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is 900 or more, it is a sample group having the same number of measurement data. When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is less than 900, it is a sample group having 10 measurement data. system. The method of claim 2, When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is 900 or more, the sample group having the same number of measurement data is the number to satisfy the normal distribution assumption of statistical sampling in a region. Wireless environment ranking system between the operators by coverage classification using the call quality measurement data, characterized in that generated as much. A first step of determining another company having superior call quality using wireless environment measurement data of other companies; A second step of generating a plurality of sample groups by sampling the wireless environment measurement data of the other company and the wireless environment measurement data of the company determined in the first step based on the same region; A third step of measuring call quality for each of the plurality of sample groups generated by two companies; A fourth step of calculating an average of the measured call quality for each sample group and setting the average to the call quality of a corresponding region; And A method of determining wireless environment ranking between operators by coverage classification using a call quality measurement data comprising a fifth step of T-testing the average call quality for two companies to determine the superiority, equality, or inferiority between the two companies. The method of claim 4, wherein The second step is If the area is divided into unit grids and the number of unit grids is 25 or more, use the unit grid as the sample group. When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is 900 or more, the sample is sampled into a plurality of sample groups having the same number of measurement data. When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is less than 900, wireless coverage between carriers by coverage classification using call quality measurement data is sampled into a sample group having 10 measurement data. Environmental ranking method. The method of claim 5, When the area is divided into unit grids, if the number of unit grids is less than 25 and the number of measurement data is 900 or more, the sample group having the same number of measurement data is the number to satisfy the normal distribution assumption of statistical sampling in a region. Wireless environment ranking determination method according to coverage classification using the call quality measurement data, characterized in that generated as much. In a system that processes wireless environment measurement data, A first step of determining another company having superior call quality using wireless environment measurement data of other companies; A second step of generating a plurality of sample groups by sampling the wireless environment measurement data of the other company and the wireless environment measurement data of the company determined in the first step based on the same region; A third step of measuring call quality for each of the plurality of sample groups generated by two companies; A fourth step of calculating an average of the measured call quality for each sample group and setting the average to the call quality of a corresponding region; And A computer-readable recording medium having recorded thereon a program for executing a fifth step of T-testing the average quality of calls between two companies to determine the superiority, equality or inferiority between the two companies.

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