KR100740644B1 - Method of matching building address and base stations for mobile radio network quality measurement - Google Patents

Abstract

The present invention relates to a method for matching a building address and a base station to measure call quality using a customer terminal, and selecting a plurality of candidate base stations adjacent to a specific building from the location information of the building and the location information of the base station. A candidate station selection step for assigning a ranking according to the first extraction step, a first extraction step for extracting a customer terminal registered with an address in the specific building, and a switch for judging the highest priority base station among the candidate base stations; The ranking of the candidate base stations in the order of high frequency of jurisdiction of the customer terminal registered with the address in the specific building by statistically analyzing the first measurement step of measuring the call quality of the customer terminal and the measurement result of the first measurement step. And updating the candidate station update step. Then, in the subsequent call quality measurement, the call quality of the customer terminal extracted in the first extraction step is measured through a switch that manages a new highest priority base station according to the update result in the update of the candidate station. According to the present invention, by effectively matching the address (building) and the base station of the customer terminal, it is possible to efficiently extract the customer terminal to be measured on the basis of the address and / or base station, and thus, for the exchange and the base station, This significantly reduces the work time and burden that must be measured for all candidate base stations for the measurement of.

Mobile communication call quality, mobile communication, address, base station, exchange, customer terminal, database, inbuilding, mapping algorithm

Description

METHOD OF MATCHING BUILDING ADDRESS AND BASE STATIONS FOR MOBILE RADIO NETWORK QUALITY MEASUREMENT}

1 is a flow chart for performing a call quality measurement of a specific region by matching the base station ID and the customer address in accordance with a preferred embodiment of the present invention.

Figures 2a and 2b is a sequential illustration of a method of designating a jurisdiction base station of a particular building when measuring the call quality of a particular building, such as an apartment.

3A and 3B are sequential examples of a method of designating an apartment housed by a specific base station.

4 is an exemplary diagram of an apartment database (apartment DB) and a base station database (base station DB) managing the shortest distance candidates between the base station and the apartment, respectively.

5 is a flow chart for improving the reliability of the reference DB including the apartment DB and / or base station DB of FIG.

The present invention relates to measuring call quality for guaranteeing mobile communication call quality, and more particularly, to a method of matching a building address and a base station to perform call quality measurement using a customer terminal.

Cellular mobile communication system is composed of a base transceiver station (BTS), a base station controller (BSC), and a mobile switching center (MSC), each base station has a constant coverage area (Coverage) . Therefore, a mobile communication service operator operating such a mobile communication system performs a cell planning (Cell Planning) that properly arranges a callable area that can be covered by each base station in order to prevent shadow areas and improve call quality. Depending on the call quality measurement result, the optimization process such as base station expansion, repeater installation, or handoff parameter adjustment is repeated.

Call quality measurement for cell planning and optimization can be classified into outdoor measurement and in-building measurement according to a wireless environment. Outdoor measurements use a GPS (Global Positioning System) (GPS), where measurement personnel carry GPS receivers in their vehicles and move around selected areas for cell planning. On the other hand, in-building measurement is to identify the shaded area or poor call area in the building, and because of its characteristics, it is impossible to measure by vehicle, so that the measurement personnel possess the measurement equipment, for example, in a building such as an apartment or a building. Perform the measurement.

However, such conventional call quality measurement is not only excessively expensive measurement time and costs, but also in-building measurement, in particular, the actual measurement, such as require prior consultation with the owner or tenant to enter and exit the building, such as an apartment There was considerable difficulty in performance.

Recognizing this problem, the inventor of the present invention has come to realize that the above-mentioned problems of the related art can be overcome by using a plurality of terminals owned by a general customer as measuring equipment.

For example, the total population of Korea is estimated at 48 million people, and the number of apartment households in the country is known as 5.56 million. Thus, based on four people per household, the population living in apartments can be estimated at 20.64 million, which is 43% of the national population. Assuming that the apartment dwelling rate is similarly applied to mobile subscribers, a mobile operator with 18 million subscribers can collect in-building measurement data from approximately 7.7 million subscribers, subject to the subscriber's consent. Thus, it will be appreciated that the application of probabilistic statistical techniques to such a significant number of samples yields very high confidence measurements.

Meanwhile, the number of apartments nationwide is about 93,000 as of August 30, 2004, and the number of base stations operated by mobile operators is known to be about 8,000 to 13,000. In this situation, in order to identify the base station of the corresponding apartment address, it is necessary to query the location of a specific terminal to an arbitrary switching center (MSC), but the overhead of processing a large number of query requests in the MSC and in-building measurement system may occur. . In addition, in an in-building environment, there may be a plurality of pseudo noise codes (PNs) (PNs) for identifying a base station. In urban areas, about 30 to 40% of pollutation may occur. Therefore, it is not easy to find a representative PN for specifying the competent base station.

Therefore, in order to collect measurement data for each building of these apartments as recognized by the inventor of the present invention, the location information of each building (corresponding to the customer's address) to be measured is correlated with the location information of the base station. There is a need for an efficient method to achieve this. For example, in order to obtain measurement data based on each apartment building (eg, 101 and 204), a criterion for determining which base station is to be measured is required. In this case, it is necessary to identify the jurisdiction apartment in order to extract the measurement targets.

As described above, in order to improve the problem of quality measurement by a measurement agent using dedicated equipment, a method of utilizing a plurality of terminals owned by a general customer as measurement equipment may be used. Is to efficiently extract the customer terminal to be measured to efficiently match the purpose.

In order to achieve the above object, according to a first aspect of the present invention, there is provided a method for matching an address and a base station for measuring the call quality using the customer terminal, and is specified from the location information of the building and the location information of the base station A candidate station selection step of selecting a plurality of candidate base stations adjacent to a building and assigning the ranks according to the adjacent order, a first extraction step of extracting a customer terminal whose address is registered in the specific building, and the highest priority base station among the candidate base stations. Through the exchange to jurisdiction, the first measurement step for measuring the call quality of the customer terminal extracted in the first extraction step and the measurement results of the first measurement step by statistical analysis, the customer registered the address in the specific building And a candidate station updating step of updating the rank of the candidate base station in order of high frequency of jurisdiction of the terminal. Then, in the subsequent call quality measurement, the call quality of the customer terminal extracted in the first extraction step is measured through a switch that manages a new highest priority base station according to the update result in the update of the candidate station.

In this case, the matching method may include: selecting a candidate building for selecting a plurality of candidate buildings adjacent to a specific base station from location information of the building and location information of the base station; A second measurement step of measuring a call quality of the customer terminal extracted in the second extraction step, through a second extraction step of extracting customer terminals registered with addresses in the candidate buildings and an exchange for jurisdiction of the specific base station; And a candidate building management step of statistically analyzing the measurement result of the second measurement step and reflecting statistical values for each candidate building of the specific base station.

Preferably, the first measuring step may measure at least one of an ID (BTS_ID) and a pseudo noise code (PN) of a base station that manages the extracted customer terminal in the first extraction step.

In the selecting of the candidate station, the distance between the specific building and the neighboring base station is calculated using the latitude / longitude information of the building address and the latitude / longitude information of the base station, and the plurality of candidate base stations adjacent to the specific building are calculated from the calculation result. It may be selected in order of distance, and may further include limiting the range of distance to select the candidate base station according to the density of the base station around the particular building.

More preferably, the above-mentioned building is an apartment, and the first measuring step may be performed at night.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings.

1 sequentially illustrates a procedure for performing quality measurement of a specific region by matching a base station ID (location address) and a customer address according to a preferred embodiment of the present invention.

First, in connection with a customer information system (COIS) that manages customer information management, the information of customers who have agreed to quality measurement, is a preferred embodiment of the present invention, the Radio Network Qaulity Measurement System (RFQM), Hereinafter referred to as "RFQM" (S100).

On the other hand, as described above, the present invention performs the measurement for the terminal used by the general customer, the location information for performing the quality measurement uses the customer's address (address information). On the other hand, considering the legal / institutional aspect, in order to use the customer's address, the customer's consent may be required. Therefore, among the terminals owned by the employees of the mobile telecommunications service provider and the customers who report poor communication in their apartments If consent is obtained, and the general customer may agree to the measurement through the terms and conditions.

In step S110, the operator of the mobile communication system extracts the customer information corresponding to the area to be measured (for example, the apartment) from the customer information of the above-described RFQM.

Subsequently, in step S110, the current terminal position of the extracted measurement target object is interrogated with the switching center MSC in step S120. As a result of this inquiry, the base station ID (BTS_ID) directly related to the address of the base station (BTS) in which the terminal is located can be obtained. At this time, in order to increase the probability that the terminal of the customer is located in the measurement position identified from the customer address information, it is preferable to perform the step (S120) by selecting a night time. In fact, sampling and experimentation showed that the probability that the measuring terminal is located at the customer's address at night is approximately 50-65%.

Meanwhile, in the above-described step (S110), the measurement data may be collected from the exchange MSC together with the acquisition of the base station ID BTS_ID. For example, at the request of the RFQM described above, the exchange MSC utilizes the terminal software (S / W) mounted on the customer terminal or transmits the exchange command to the customer terminal, thereby providing the competent base station ID (BTS_ID) of each customer terminal and Measurement data such as PN and signal-to-interference ratio (Ec / Io) may be received, and the collected measurement data is stored in the aforementioned RFQM.

Next, when the base station ID (BTS_ID) indicating the position of the measurement target terminal matches the address of the customer who performed the measurement, it is determined that the customer is located at the address (S130). At this time, a method for verifying whether the base station ID (BTS_ID) matches the address of the customer who performed the measurement is required, and this method will be described in more detail.

2A and 2B sequentially illustrate a method of extracting and managing a competent base station of a corresponding apartment when measuring call quality of a specific building, for example, an apartment.

와 같이 계산할 수 있으며, 대안으로서

와 같이 각 좌표축별로 거리를 계산할 수 있다.Location information (eg, address and latitude / longitude) for a specific apartment can be obtained, and location information (latitude / longitude) of all base stations is managed by a mobile service provider. Thus, for example, when the latitude / longitude of the apartment A1 is A1 (Xa, Ya) and the latitude / longitude of the base station B1 is B1 (Xb, Yb), the above-described latitude / longitude coordinate values are utilized. The distance between two points can be calculated. For example, in the above example, the distance d between the apartment A1 and the base station B1 is

Can be calculated as

The distance can be calculated for each coordinate axis as follows.

First, referring to FIG. 2A, three neighboring base stations B1, B2, and B3 are selected in a neighboring order based on a specific apartment A1 using the coordinate values of the apartment and the base station as described above.

의 계산식으로부터 특정 아파트(A1)로부터 반경이 d 이내인 인접 기지국을 복수개 선택하거나,

와 같이 각 좌표축별로 일정 거리 이내로 선택할 수 있다. 전자의 선택 방법에 따르면 원형의 범위로 기지국이 선택되며, 후자의 경우에는 특정 아파트를 기준으로 격자 형태 내에 존재하는 기지국이 선택된다. 이 때, 기지국을 선택하는 거리 범위는 기지국의 밀도, 기지국의 커버리지 등을 고려하여 가변적으로 지정(제한)할 수 있으며, 예컨대 도심 밀집지역의 경우에는 거리 범위를 좁게 설정하고 외곽지역의 경우는 상대적으로 넓은 범위에서 기지국을 선택한다.For example, the above

Select a plurality of neighboring base stations with a radius within d from a specific apartment A1 from the equation

As shown below, each coordinate axis can be selected within a certain distance. According to the former selection method, a base station is selected in a circular range, and in the latter case, a base station existing in a grid form is selected based on a specific apartment. In this case, the distance range for selecting a base station may be variably designated (limited) in consideration of the density of the base station, the coverage of the base station, and the like, for example, in the case of a dense urban area, the distance range may be narrowed and the outer area may be relative. Selects a base station from a wide range.

The group of neighboring base stations selected as described above is managed by rank as candidate base stations expected to be in charge of the apartment A1. As a method of managing these candidate base stations by rank, for example, reliability can be given to each candidate base station in order of distance so that the nearest base station (eg, B1) has the highest reliability. The base station having the highest reliability as described above is referred to as a dominant base station. The base station is first selected based on a distance and then updated based on a measurement result as described later.

On the other hand, in the plurality of candidate base stations described above, it can be expected that the base station closest to the apartment to be measured has a high possibility of jurisdiction of the apartment. However, in the case of the urban area and the in-building environment, the closest base station corresponds to the corresponding base station. It may not be the base station that governs the apartment. Therefore, when the final base station of the corresponding apartment is selected only by the distance information, there may be a difference from the measured result.

In order to compensate for this, the customer terminals registered in the specific apartment are extracted from the above-described RFQM, and the quality of the extracted customer terminals is measured. That is, a query is performed to an exchange MSC that manages the highest reliability base station B1 among the candidate base stations, and the measurement data (for example, the jurisdiction base station ID BTS_ID of the customer terminal) is extracted from the extracted customer terminal. ), PN indicating the jurisdiction of the base station, signal-to-interference ratio (Ec / Io), and the like. Since the above-described plurality of candidate base stations are likely to belong to the same exchange, the process burden for inquiring each customer terminal can be reduced by using the exchange which has the highest priority base station. Even if the switch of the highest-priority base station does not have jurisdiction over the mobile terminal, the mobile terminal is connected to the switch of the base station having jurisdiction over the terminal through the above-described switch of the highest-priority base station according to a normal call setup procedure. Can be connected to.

Subsequently, cumulative measurement results such as a jurisdiction base station ID (BTS_ID) and a PN for a plurality of client terminals registered in a specific apartment are statistically processed to determine the reliability of the candidate base station in the order of the highest jurisdiction for the apartment. Update Accordingly, as shown in FIG. 2B, the base station B3 having the highest jurisdiction frequency is updated to the new highest priority base station based on the statistical analysis of the measured result.

3A and 3B sequentially illustrate a method of extracting an apartment under the control of a specific base station and matching it with the base station.

Referring to FIG. 3A, using the coordinate values of the apartment and the base station as described in FIG. 2A, for example, three adjacent apartments A1, A2, and A3 are selected based on a specific base station B1 in an adjacent order. The range of distances for selecting the candidate apartments may be limited according to the density of the base stations around a specific base station. The group of adjacent apartments thus selected is managed as a jurisdiction candidate apartment which is expected to be controlled by the base station B1.

Subsequently, customer terminals registered with an address in each candidate building are extracted, and quality measurement is performed between the extracted customer terminals and the specific base station as described above. For example, referring to Figure 3b, for the candidate building (A1, A2, A3), RFQM obtains the quality data from the customer terminals registered in each candidate building through the exchange jurisdiction over the particular base station, Manage statistics of quality data for each candidate building. For example, for each candidate building, the jurisdiction frequency of the base station or sector can be calculated and managed on the basis of BTS_ID or PN, and information such as average value, variance of signal-to-interference ratio (Ec / Io) can be managed.

Accordingly, the candidate building having the above-described statistical value equal to or greater than a predetermined threshold value can be determined as a base station under the control of the specific base station. For example, the coverage map of the base station can be obtained by combining the statistics related to the signal-to-interference ratio (Ec / Io) with the position of each candidate building on the map. As such, the coverage map obtained through the matching relationship between the specific base station and the candidate building may implement higher precision than the coverage map configured by the measurement agent measuring some sample points.

FIG. 4 illustrates an apartment database (apartment DB) and a base station database (base station DB) managing a matching relationship between a base station and an apartment as described above.

First, information about candidate base stations based on each apartment is stored in the apartment DB of FIG. 4. To be more specific, the code, name, city, district, township, dongho ("dong"), ground floor ("ground"), and underground floor ("underground") fields for each apartment Present and the "X" and "Y" fields indicate the longitude / latitude of the apartment. As such, the apartment DB can be managed by each apartment or number of lakes, or by the number of floors in each apartment.

Next, the "measurement" field indicates whether the quality measurement is performed for the customer terminal having the address of each apartment. The "B1", "D1", and "R1" fields indicate a code U_CID, a distance, and a reliability for identifying the nearest candidate base station (the jurisdiction base station), respectively, and the "B2", "D2", and "R2" fields. Denotes the same information for candidate base stations next to the corresponding apartment. Meanwhile, although the number of candidate base stations is illustrated as three in the description of FIG. 2A, only the information about two candidate base stations is shown in the apartment DB of 4a for convenience.

The base station DB of FIG. 4 stores information about candidate apartments for each base station. In more detail, the identification code for each base station (U_CID), switch ID (MSC_ID), base station controller ID (BSC_ID), base station ID (BTS_ID), base station ID (BASE_ID), base station name (BTS_NAME), zip code There are (POST1, POST2), CITY, GU, DONG, and BUNGI fields. And, "PN_ALPHA", "PN_BETA" and "PN_GAMMA" refer to the offset of the PN code allocated for each sector of each base station, the "LATITUDE" and "LONGITUDE" field indicates the latitude / longitude of the base station. Finally, "C_AREA_1" and "C_AREA_2" are codes of candidate apartments expected to be controlled by the base station and correspond to "CODE" of apartment DB. Although not shown in addition to this information, as described above, at least one field for storing statistical analysis values of each candidate apartment may be added.

The apartment DB and the base station DB maintain the list of candidate base stations and candidate apartments by calculating base station and apartment shortest distance candidates, respectively, and update information of the corresponding DB when a new apartment and / or a new base station is added.

FIG. 5 illustrates a method for improving reliability of a reference DB including the apartment DB and the base station DB of FIG. 4.

First, when the apartment DB is updated, such as when a new apartment is added, the distance between adjacent base stations is recalculated using the address information of the apartment and the base station (S500), and the shortest distance candidate base station is determined as described above. To reflect in the apartment DB (S510). Through this, the apartment DB, which is a reference DB for extracting a measurement object based on the address, is kept up to date (S520).

If base station information is required to be updated, such as base station extension or coverage adjustment, the distance to the adjacent apartment is recalculated using the base station and apartment address information (S530), and the shortest distance candidate apartment is determined as described above. To reflect it in the base station DB (S540). Through this, the base station DB, which is a reference DB for extracting the measurement target based on the address, maintains the latest state (S520).

If the operator wants to change the jurisdiction information (eg, information of candidate base station or candidate apartment, reliability, highest priority base station, etc.) of the above-mentioned reference DB, the PN diagnosis of the reference DB according to the statistical value of the measurement result using the measurement equipment. It is possible to recommend a change value for the information of the DB by performing (S550). Accordingly, the base station DB and / or apartment DB, which is the reference DB, changes the candidate base station or candidate apartment according to the above-mentioned recommendation to maintain the latest state (S520).

The apartment DB (address base) and / or base station DB (base station base) that maintains the latest state functions as a reference DB for quality measurement, and based on this, the measurement target (customer terminal) based on the address base and / or base station It is extracted (S560). In addition, together with the above-described step (S560), the above-described apartment DB and / or base station DB is used as a condition for determining the interworking target of the exchange (MSC) / base station controller (BSM) interworking process (S570). ).

As described above, the measurement object extracted through the steps S560 and S570 is performed, and the cumulative data according to the result is analyzed. The analysis result is fed back to the reference DB and reflected, and thus the reference DB can manage the candidate apartment / candidate base station according to the jurisdiction frequency. For example, in the case of a customer address standard (apartment DB), the reliability of the candidate base station is updated in the order of high frequency of jurisdiction of the customer terminals registered in the corresponding building, and in the case of a base station standard (base station DB), The candidate building is updated by reflecting statistical information of the measurement result value for the customer terminal whose address is registered in each candidate building.

Although the preferred embodiment according to the present invention has been described above, this is merely exemplary and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. For example, in the preferred embodiment of the present invention, the quality measurement object is illustrated as an apartment for convenience of description, but includes other buildings requiring quality measurement. Therefore, the protection scope of the present invention should be defined by the following claims.

As described above, according to the present invention, by using a plurality of terminals owned by the general customer as measuring equipment, time and cost required for measuring call quality can be reduced, and measurement accuracy is improved by increasing the number of terminals serving as measurement samples. You can. Furthermore, in the present invention, by effectively matching the address (building) and the base station of the customer terminal, it is possible to efficiently extract the customer terminal to be measured on the basis of the address and / or base station, thereby significantly reducing the processing burden of the exchange, etc. Can be.

Claims (8)

As a method of matching the address and base station of the building to be measured in order to measure the call quality using the customer terminal, A candidate station selecting step of selecting a plurality of candidate base stations adjacent to a specific building from the location information of the building and the location information of the base station, and assigning the rankings according to the adjacent order; A first extraction step of extracting a customer terminal registered with an address in the specific building; A first measurement step of measuring a call quality of the customer terminal extracted in the first extraction step by using the plurality of candidate base stations, through an exchange jurisdiction of the highest priority base station among the candidate base stations; And a candidate station updating step of statistically analyzing the measurement result of the first measurement step and updating the rank of the candidate base station in order of high frequency of jurisdiction of the customer terminal registered with the address in the specific building, In the subsequent call quality measurement, the call quality of the customer terminal extracted in the first extraction step is measured through a switch having jurisdiction of the new highest priority base station according to the update result in the update of the candidate station. Address and base station matching method for measuring call quality. The method of claim 1, wherein the first measuring step And measuring at least one of an ID (BTS_ID) and a pseudo noise code (PN) of a base station that manages the extracted customer terminal in the first extraction step. The method of claim 1, A candidate building selection step of selecting a plurality of candidate buildings adjacent to a specific base station from the location information of the building and the location information of the base station; A second extraction step of extracting customer terminals registered with addresses in the candidate buildings; A second measurement step of measuring a call quality of a customer terminal extracted in the second extraction step, through an exchange jurisdiction over the specific base station; The candidate building management step of statistically analyzing the measurement result of the second measurement step and reflecting the statistical value for each candidate building of the specific base station. Matching method of the address and the base station for the call quality measurement further comprising. The method of claim 1, wherein the selecting of the candidate station is A call for calculating a distance between the specific building and a neighboring base station by using latitude / longitude information of a building address and latitude / longitude information of a base station, and selecting a plurality of candidate base stations adjacent to the specific building in chronological order from the calculation result. Address and base station matching method for quality measurement. The method of claim 4, wherein the selecting of the candidate station is Limiting a range of distance for selecting the candidate base station according to the density of the base station around the specific building Matching method of the address and the base station for the call quality measurement that further comprises. According to any one of claims 1 to 3, wherein the candidate building selection step Call quality measurement by calculating the distance between the specific base station and the surrounding building using latitude / longitude information of the building address and latitude / longitude information of the base station, and selecting a plurality of candidate buildings adjacent to the specific base station from the calculation result. Matching method of address and base station for the. The method of claim 6, wherein the candidate building selection step Limiting a range of distance for selecting the candidate building according to a base station density around the specific base station Matching method of the address and the base station for the call quality measurement that further comprises. The method according to any one of claims 1 to 3, The building is an apartment, The first measuring step is performed at night to match the address and base station for the call quality measurement.

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