KR100365339B1 - Method for constructing a homezone database by using substantial measured data - Google Patents

Abstract

G.P.S. A method of constructing a home zone database using measured data while moving and having a wireless diagnostic apparatus equipped with an antenna, a mobile radio telephone, and a base station database, comprising: a pilot signal for each base station received from each base station while moving a home zone service area; A first process of measuring the intensity of the second process; a second process of deriving a trendline equation representing a change in the pilot signal strength according to the distance for each pseudo noise offset using the measured data and the trend line algorithm; and a service area in a grid form. A fourth process of simplifying bins, a fourth process of estimating pilot signal strengths for all bins by applying trend line equations derived by the pseudonoise offset for each bin, and estimating for each bin Pseudonoise offsets corresponding to the received pilot signal strengths Searching the database in the base station group, characterized by yirueojim reading the cell identification information corresponding to the PN offset to a fifth process of making homjon database.

Description

How to build a home zone database using measured data {METHOD FOR CONSTRUCTING A HOMEZONE DATABASE BY USING SUBSTANTIAL MEASURED DATA}

The present invention relates to a method for building a zone database for a home zone service in a mobile communication system, and more particularly, to a method for building a home zone database using radio wave measurement results.

The home zone service is to allocate a specific area (home zone) to the mobile subscriber and apply a different fee system when the subscriber makes a call within the area and when making a call outside.

Suppose there is a subscriber who applied for home zone service for a certain radius around his home. If the subscriber calls with a mobile phone in the home zone, he or she charges the same fee as a landline call. You can implement a home zone service that charges calls.

When a subscriber who wants to receive home zone service subscribes to the service, he / she considers several things such as base station location information (latitude / longitude), base station coverage, base station installation status or local information based on the address presented by the subscriber. Will be set. Setting up a home zone is an important issue for both service providers and subscribers.

Accordingly, an object of the present invention is to provide a method for constructing a home zone database using radio wave measurement results.

The present invention for achieving the above object is G.P. A method of constructing a home zone database using measured data while moving and having a wireless diagnostic apparatus equipped with an antenna, a mobile radio telephone, and a base station database, comprising: a pilot signal for each base station received from each base station while moving a home zone service area; A first process of measuring the intensity of the second process; a second process of deriving a trendline equation representing a change in the pilot signal strength according to the distance for each pseudo noise offset using the measured data and the trend line algorithm; and a service area in a grid form. A fourth process of simplifying bins, a fourth process of estimating pilot signal strengths for all bins by applying trend line equations derived by the pseudonoise offset for each bin, and estimating for each bin Pseudonoise offsets corresponding to the received pilot signal strengths Searching the database in the base station group, characterized by yirueojim reading the cell identification information corresponding to the PN offset to a fifth process of making homjon database.

1 is a flowchart illustrating a home zone database construction process using radio wave measurement results according to an exemplary embodiment of the present invention.

2A and 2B are diagrams illustrating a memory configuration of a wireless diagnostic apparatus.

3 is a diagram illustrating a configuration of a base station database.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In describing the present invention, if it is determined that detailed descriptions of related known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

1 is a flowchart illustrating a process of establishing a home zone database using radio wave measurement results according to an exemplary embodiment of the present invention.

Step 100: A mobile diagnostic monitor equipped with a GPS (Global Positioning System) antenna is mounted in a vehicle and the radio wave is measured from a base station to a mobile radio telephone while actually moving a field (home zone service area). In this case, the mobile radio telephone must maintain an idle state.

All of the pilot signals for the Pseudo Noise (PN) offset, which may be received at the mobile radio telephone at any point, are the measurement targets.

The wireless diagnostic device stores the GPS information received at the time when the data of the pilot signal strength (hereinafter referred to as the pilot signal strength) from the mobile radio telephone, that is, the terminal location information (latitude / longitude) together with the pilot signal strength. do.

In step 200, the system performs coverage estimation.

In step 210, measurement data stored in the wireless diagnostic apparatus is loaded into a memory. Referring to the structure of the loaded data, as shown in (2A) of FIG. 2, pilot signals are received from a plurality of base stations at the same location, and a plurality of pilot signal strengths and PNs are located at the same terminal location information. The offset corresponds.

In step 220, the loaded data is grouped by PN offset as shown in FIG. 2B. That is, they are rearranged by the same PN offset. In this case, a plurality of terminal location information and the pilot signal strength correspond to one PN offset.

In step 230, a line fitting equation representing a change in the pilot signal strength according to the distance for each PN offset is derived using a line fitting algorithm.

In order to build a home zone database, it is necessary to simplify the area where a home zone service is desired in a grid form. However, only the data measured in step 100 may not obtain all the data necessary to define the grid shape. This is because there are locations that could not be measured due to road conditions. Therefore, in order to apply interpolation based on the measured data, the trend line equation is derived as follows.

The PN offset corresponding to the measured pilot signal strength is searched for in the base station database provided in the system. If the same PN offset is found as a result of the search, GPS information of the base station, that is, base station location information (latitude / longitude) is read. The distance between the base station and the terminal is converted by referring to the base station position information and the terminal position information corresponding to the measured pilot signal strength.

For example, the base station location information GPS1 'corresponding to the PN offset PN_off 1 may be found in the base station database as shown in FIG. In the case of the PN offset PN_off 1 and the pilot signal strength PLT1, the distance between the base station and the mobile phone is as much as the difference between the GPS1 'and the GPS1 (terminal location information). Similarly, other GPS2 and GPS3 corresponding to the PN offset PN_off 1 are also calculated and stored in memory along with the corresponding pilot signal strengths. (Figures 2A, 2B and 3 are shown assuming three PN offsets.)

After the conversion operation as described above, using the results and the trend line algorithm, it is possible to derive a trend line equation indicating a change in the pilot signal strength with distance. You can see the trend by plotting the distance with the X axis and the pilot signal strength as the Y axis.

The above process is performed up to PN offsets 1, 2, and 3 in FIG. 2B and the derived equations are managed for each PN offset.

Step 240: Simplify the home zone service area in a grid form. The unit grid created at this time is called a bin. Each bin is given a unique index, and the size of the bin and the GPS information corresponding to the leftmost top bin are stored in the base station database.

Step 250: apply the above trend line formula to each bin.

Referring to the base station database, the GPS information corresponding to the leftmost top bin of the area converted into a grid shape and the distance between the bins can be known, and thus, the GPS information corresponding to the remaining bins can be found.

After finding the GPS information of the bin, the distance to each base station is calculated with reference to the base station database as shown in FIG.

For example, if the GPS information of the bin having an index x is GPSx, the distance from the base station having the PN offset PN_off 1 may be calculated as the difference between GPS1 'and GPSx.

As the trend line for each offset is derived in step 230 described above, pilot signal strength values are obtained by substituting the calculated distance values into the corresponding trend line equation. Of these values, only pilot signal strengths above the threshold are selected. The threshold value means a specific pilot signal strength that is a coverage determination criterion.

This operation is performed on all PN offsets, and the memory is managed in the structure of the selected pilot signal strengths and the corresponding PN offset. The cell identification information corresponding to each of the managed PN offsets, that is, the site_ID and the sector_id, is found in the base station database.

This operation is performed for all beans.

In step 300, a home zone database including a site_ID and a sector_id found in step 250 is constructed for each bin.

Meanwhile, in the detailed description of the present invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the scope of the following claims, but also by the equivalents of the claims.

As described above, the present invention has a merit in that a zone database for a home zone service is directly generated as a result of directly measuring a pilot signal in a field, and thus a result that is much closer to a real situation can be obtained than when a simulation is established.

Claims (6)

G.P.S. Claims [1] A method of constructing a home zone database by using a wireless diagnostic device equipped with an antenna, a mobile wireless telephone, and a base station database and using measured data while moving. A first step of measuring a strength of a pilot signal for each base station received from each base station while moving to a home zone service area; A second process of deriving a trend line equation indicating a change in a pilot signal strength according to a distance for each pseudo noise offset using the measured data and a trend line algorithm; A third process of creating beans by simplifying the service area into a grid; A fourth process of estimating pilot signal strengths for all bins by applying trend line equations derived by the pseudonoise offset for each bin; And a fifth process of finding pseudonoise offsets corresponding to the pilot signal strengths estimated for each bin in the base station database and reading cell classification information corresponding to the pseudonoise offsets to create a home zone database. . G.P.S. Claims [1] A method of constructing a home zone database by using a wireless diagnostic device equipped with an antenna, a mobile wireless telephone, and a base station database and using measured data while moving. After putting the terminal into the idle state, a pilot signal is received from each base station at an arbitrary position and the signal strength corresponding to the position is received. The first process of storing the information with the information at various locations; Loading the measured data and then rearranging the measured data by the same pseudo noise offset; A third process of deriving a trend line equation indicating a change in pilot signal strength according to a distance between each base station and a mobile radio telephone for each pseudo noise offset; A fourth step of creating beans by simplifying the service area into a grid; A fifth process of estimating pilot signal strengths by applying the trend line equations derived for each pseudonoise offset to each bin and selecting only when the estimated pilot signal strength is greater than or equal to a predetermined threshold value for all bins; And generating a home zone database by reading pseudo-noise offsets corresponding to the pilot signals selected for each bin in the base station database and reading corresponding cell classification information. The method of claim 2, wherein the third process comprises: Performing a conversion operation of the first to third steps for each of the pseudonoise offsets, and then using the results and the trendline algorithm to derive a trendline equation indicating a change in the pilot signal strength with distance. Step 1: Search if the base station database has a pseudo noise offset equal to the pseudo noise offset corresponding to the measured pilot signal strength Step 2: If the same pseudo noise offset is found as a result of the search, base station location information of the corresponding base station is read Step 3: G.P.S. corresponding to the base station location information and the measured pilot signal strength. Convert the distance between the base station and the terminal with reference to the information The method of claim 2, wherein the fifth process comprises: And performing first to fourth steps for each bin. Step 1: Refer to the base station database and provide the password for the bean. Find out information Step 2: calculate the distance from each base station with reference to the base station database Step 3: Obtain the pilot signal strength values by substituting the calculated distance values into the corresponding trend line equation, and select only the pilot signal strengths above the threshold value Step 4: find a corresponding pseudonoise offset in the base station database and find cell identification information corresponding to the pseudonoise offset 5. The method of claim 4, wherein the cell classification information is a site_id and a sector_id. The method of claim 4, wherein In the first step, the P.S. The information corresponds to the reference bin stored in the base station database (the uppermost left bin of the area converted into a grid form). Wherein the information is calculated using information on the distance between the bins.