KR20230046866A - Method and apparatus for detecting updating error of radio unit - Google Patents

Abstract

Disclosed are a method and a device for detecting an updating error of a base station. The method for detecting an updating error of a base station according to the present invention comprises the steps of: collecting actual measurement values regarding wireless communication quality for each measurement point; calculating prediction values regarding wireless communication quality for each measurement point; generating a correction coefficient for each measurement point by comparting the actual measurement values and the prediction values for each measurement point; grouping the correction coefficient for each measurement point depending on the radio wave environment of the measurement point, for each base station; calculating the representative value of the correction coefficient corresponding to the group; calculating the reference value of the correction coefficient corresponding to the group, for each base station model; and comparing the one or more representative values of an individual base station with the one or more reference values of an identical base station model, and determining a base station having the representative value deviating from the critical range of the reference value to be an updating error base station. Therefore, provided are a method and a device for detecting an updating error of a base station, wherein an updating error of a base station can be detected and the updating value of the base station with an updating error can be corrected.

Description

Base station currentization error detection method and apparatus {METHOD AND APPARATUS FOR DETECTING UPDATING ERROR OF RADIO UNIT}

The present invention relates to a method and apparatus for detecting a localization error of a base station, capable of detecting a localization error of a base station and correcting a localization value of a base station in which a localization error occurs.

Base station antennas are mainly installed on the roof of a building, etc., and the rooftop is usually a common space, and many people can enter and exit, and various changes can occur in the surrounding environment of the base station antenna.

For example, obstacles that interfere with the antenna signal may occur, such as objects being piled up in front of the antenna, outdoor signs being installed, or antennas of other companies being installed.

For another example, the antenna may be unintentionally changed in azimuth or inclination due to bumping into another object or loosening of a bolt due to deterioration.

In addition, during the initial construction of the antenna or subsequent optimization, the current value may be incorrectly recorded due to a measurement mistake or an input error by the operator.

Meanwhile, through a simulation using base station construction information and base station parameter information, it is possible to predict the coverage of a base station and perform an optimization operation. In addition, accuracy of information is essential to derive accurate simulation results, and if there is an error in the corresponding information, a problem may occur in the optimization work due to an incorrect coverage prediction for the corresponding base station.

In order to actualize the base station construction information, a worker must go up to the rooftop where each antenna is located, directly check the location, azimuth, and inclination angle of the corresponding equipment, and check whether there are environmental problems that interfere with radio waves around the equipment.

However, since it is not known which base station has a realization error, the operator has to visit all the base stations, so there is a problem in that a lot of resources are required in terms of time and manpower for the current base station.

The present invention is to solve the above-described problems, and an object of the present invention is, a method for detecting a localization error of a base station that can detect a localization error of a base station and correct a localization value of a base station in which a localization error occurs, and to provide the device.

A method for detecting actualized errors in a base station according to the present invention includes the steps of collecting actual values of wireless communication quality for each measurement point, calculating a predicted value of wireless communication quality for each measurement point, and the actual value for each measurement point. and generating correction coefficients for each measurement point by comparing predicted values, grouping correction coefficients for each measurement point for each base station according to the radio propagation environment of the measurement point, and calculating a representative value of the correction coefficient corresponding to the group. calculating a reference value of a correction coefficient corresponding to the group for each base station model, and comparing one or more representative values of an individual base station with one or more reference values of the same base station model, so that the representative value is the reference value. and determining a base station out of a threshold range from the value as a realization error base station.

In this case, the group may include a visible path (LOS) group and a non-visible path (NLOS) group, and the non-visible path (NLOS) group may include detailed groups according to terrain and penetration distances of buildings.

Meanwhile, the group includes a visible path (LOS) group and a non-visible path (NLOS) group, and the visible path (LOS) group and the non-visible path (NLOS) group are detailed groups for each distance from the base station to the measurement point can include

Meanwhile, the group may include a visible path (LOS) group, a non-visible path (NLOS) group, and a near visible path group.

Meanwhile, the representative value may include at least one of an average value, a median value, a mode value, and a standard deviation.

Meanwhile, the step of determining a base station outside the threshold range as a realization error base station may include comparing a representative value for each group of the individual base station with a reference value for each corresponding group of the same base station model.

Meanwhile, the step of determining a base station outside the threshold range as an actualized error base station comprises comparing one or more representative values of the individual base station with one or more reference values of the same base station model deployed in the same area as the individual base station. can include

On the other hand, selecting a currentization candidate location using the locations of a plurality of receiving points from which radio quality measurement data related to the currentization error base station is collected, and using the location information of the currentization candidate location, a new inclination angle and Calculating an expected actualization value including a new azimuth may be further included.

In this case, the step of calculating the predicted value for the wireless communication quality for each measurement point based on the expected actualized value compares the measured value for each measurement point with the predicted value based on the expected actualized value, Generating a correction factor based on the expected realization value, and comparing a representative value of the correction factor based on the expected realization value with a reference value of the same base station model, so that the representative value of the correction factor based on the expected realization value is the reference value. The method may further include determining the expected currentization value as the currentization value of the error base station when the actualization value does not deviate from the threshold range.

In this case, the step of determining the expected currentization value as the currentization value of the localization error base station may include, when there are a plurality of expected localization values in which a representative value of a correction coefficient does not deviate from a threshold range from a reference value, the standard and determining an expected realization value used in calculating the representative value closest to the actualization value as the actualization value of the actualization error base station.

Meanwhile, the step of selecting the currentization candidate locations includes selecting a plurality of currentization candidate locations, and the plurality of currentization candidate locations include n receiving points having a larger actual value and a larger number of collection cases. It may include at least one of n receiving points having , centers of n receiving points having a larger measured value, and centers of n receiving points having a greater number of collections.

Meanwhile, an apparatus for detecting actualized errors in a base station according to the present invention includes a communication unit that collects actual values of wireless communication quality for each measurement point, and calculates a predicted value for wireless communication quality for each measurement point. A correction coefficient for each measurement point is generated by comparing the measured value and the predicted value, the correction coefficient for each measurement point is grouped according to the wireless propagation environment of the measurement point for each base station, and a representative value of the correction coefficient corresponding to the group is obtained. Calculate, for each base station model, a reference value of a correction coefficient corresponding to the group is calculated, and one or more representative values of an individual base station are compared with one or more reference values of the same base station model, so that the representative value is a threshold value from the reference value. and a control unit for determining a base station out of range as a realization error base station.

In this case, the representative value may include at least one of an average value, a median value, a mode value, and a standard deviation.

Meanwhile, the control unit may compare the representative value for each group of the individual base station with a reference value for each corresponding group of the same base station model.

Meanwhile, the control unit may compare one or more representative values of the individual base station with one or more reference values of the same base station model disposed in the same area as the individual base station.

Meanwhile, the control unit selects a currentization candidate location using the locations of a plurality of receiving points from which radio quality measurement data related to the currentization error base station is collected, and uses the location information of the currentization candidate location to determine a new inclination angle. And an expected realization value including a new azimuth may be calculated.

In this case, the control unit calculates a predicted value for wireless communication quality for each measurement point based on the expected actualization value, and compares the measured value for each measurement point with the predicted value based on the expected actualization value, A calibration coefficient based on the expected localization value is generated, and a representative value of the calibration coefficient based on the expected localization value is compared with a reference value of the same base station model, and the representative value of the calibration coefficient based on the expected localization value is the reference value. If it does not deviate from the threshold range, the expected realization value may be determined as the currentization value of the error base station.

In this case, the control unit, when there are a plurality of expected realization values in which the representative value of the correction coefficient does not deviate from the reference value and a threshold range, the expected realization value used for calculating the representative value closest to the reference value Currentization error It can be determined as the currentization value of the base station.

Meanwhile, the control unit selects a plurality of actualization candidate positions, and the plurality of actualization candidate positions include n receiving points having a larger actual measurement value, n receiving points having a larger number of collection cases, and a larger actual measurement value. It may include at least one of the centers of n receiving points having , and the centers of n receiving points having a greater number of collections.

Meanwhile, the computer program stored in the medium according to the present invention includes the steps of collecting actual values of wireless communication quality for each measurement point, calculating a predicted value of wireless communication quality for each measurement point, measuring values for each measurement point, and Comparing predicted values and generating correction coefficients for each measurement point, grouping correction coefficients for each measurement point for each base station according to the radio propagation environment of the measurement point, and calculating a representative value of the correction coefficient corresponding to the group Calculating a reference value of a correction coefficient corresponding to the group for each base station model, and comparing one or more representative values of an individual base station with one or more reference values of the same base station model, so that the representative value is determined from the reference value. A method for detecting an actualization error of a base station including determining a base station outside the threshold range as an actualization error base station may be performed.

According to the present invention, it is possible to detect abnormalities in base station construction information such as the azimuth and inclination (tilt) of the base station, and notify the operator of the base station that needs to be updated. Accordingly, since it is possible to provide the operator with information on the base station to be actually visited and perform the actualization work, there is an advantage in that manpower and time for equipment maintenance and repair can be saved.

1 is a block diagram illustrating an apparatus for detecting an actualization error of a base station according to the present invention.
2 is a flowchart illustrating a method for detecting an actualization error of a base station according to the present invention.
3 is a diagram for explaining a method of calculating a predicted value related to wireless communication quality according to the present invention.
FIG. 4 is a diagram for explaining a method of calculating measured values and predicted values for each unit area and calculating a correction coefficient using the calculated measured values and predicted values according to the present invention.
5 is a diagram for explaining a method of grouping correction coefficients and calculating a representative value of correction coefficients corresponding to the groups according to the present invention.
6 is a diagram for explaining detailed groups according to the present invention.
7 is a diagram for explaining a grouping method according to another embodiment.
8 is a diagram for explaining a method of calculating a reference value of a correction coefficient for each same base station and determining a realization error base station according to the present invention.
9 is a flowchart for explaining a method of calculating an expected realization value for an actualization error base station according to the present invention.
10 is a diagram for explaining a method of calculating an expected realization value according to the present invention.

Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the accompanying drawings, but the same or similar elements are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted. The suffixes "module" and "unit" for components used in the following description are given or used together in consideration of ease of writing the specification, and do not have meanings or roles that are distinct from each other by themselves. In addition, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiment disclosed in this specification, the detailed description thereof will be omitted. In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, the technical idea disclosed in this specification is not limited by the accompanying drawings, and all changes included in the spirit and technical scope of the present invention , it should be understood to include equivalents or substitutes.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as "comprise" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

In implementing the present invention, components may be subdivided for convenience of description, but these components may be implemented in one device or module, or one component may be divided into multiple devices or modules may be implemented in

The present invention is applicable to all mobile communication systems such as 4G mobile communication systems such as Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), and 5G/next-generation mobile communication systems.

1 is a block diagram illustrating an apparatus for detecting an actualization error of a base station according to the present invention.

The apparatus 100 for detecting an actualization error of a base station according to the present invention may include a communication unit 110, a control unit 120, and a memory 130.

The communication unit 110 may be configured to receive data transmitted from other communication devices through a wired/wireless communication network and forward the data to the control unit 120 or transmit data generated or processed by the control unit 120 to another device. can To this end, the communication unit 110 may include a communication modem that performs wired/wireless communication.

Also, the communication unit 110 may receive wireless communication quality data collected from various measurement points.

The control unit 120 may control the overall operation of the currentization error detection apparatus 100 of the base station.

Meanwhile, the term control unit 120 may also be used as terms such as “processor,” “microprocessor,” “controller,” and “microcontroller.”

Meanwhile, the memory 130 may store commands or other programs for the operation of the current error detection apparatus 100 of the base station. To this end, the memory 130 may selectively include various storage media such as ROM, RAM, EEPROM, registers, flash memory, CD-ROM, magnetic tape, hard disk, floppy disk, and optical data recording device.

On the other hand, the actualization error detection apparatus 100 of the base station may further include an input unit (not shown) that receives a user's command or data and an output unit (not shown) that visually or audiovisually outputs data or information. .

2 is a flowchart illustrating a method for detecting an actualization error of a base station according to the present invention.

According to the present invention, a method for detecting an actualization error of a base station includes the steps of collecting actual measured values for wireless communication quality for each measurement point (S210), calculating a predicted value for wireless communication quality for each measurement point (S220), Comparing measured values and predicted values for each measurement point to generate correction coefficients for each measurement point (S230), grouping correction coefficients for each measurement point according to the wireless propagation environment of the measurement point for each base station, and correcting corresponding to the group Calculating a representative value of a coefficient (S240), calculating a reference value of a correction coefficient corresponding to a group for each base station model (S250), and converting one or more representative values of an individual base station to one or more base station models of the same base station model. Comparing with the reference value, determining a base station whose representative value is out of a threshold range from the reference value as a realization error base station (S260).

First, in relation to S210, the controller 120 may collect measured values of wireless communication quality for each measurement point.

In detail, the control unit 120 may receive wireless communication quality data collected by the terminal at various measurement points through the communication unit.

Here, the wireless communication quality data may include identification information (PCI, cell ID, etc.) of a base station that has transmitted a signal received by the terminal, actual values related to wireless communication quality, location information about a measurement point of actual values, and the like. .

Here, the measured value may mean a received signal strength or quality value of a signal received by the terminal. For example, the measured value may include RSRP, SS-RSRP, CSI-RSRP, RSSI, SS-RSRQ, CSI-RSRQ, SS-SINR, CSI-SINR, and the like.

In addition, the location information may be acquired by a terminal or a GPS receiver, and may include neighboring cell quality information capable of calculating coordinates (latitude and longitude) and the like.

On the other hand, wireless communication quality data may be constantly collected through a constant quality measurement report operation (measurement report) of the terminal, but is not limited thereto, and through the MDT server through the 3GPP standard Minimization of Drive Test (MDT) setting. Information may be collected. Alternatively, wireless communication quality data may be collected through an app installed in the terminal, or wireless communication quality data may be collected through a drive test using the terminal and a GPS receiver.

Next, the controller 120 may calculate a predicted value for wireless communication quality for each measurement point (S220). This will be described with reference to FIG. 3 .

3 is a diagram for explaining a method of calculating a predicted value related to wireless communication quality according to the present invention.

The control unit 120 may acquire radio propagation environments for various reception points of signals.

Here, the radio propagation environment may include base station information and environment information. Here, the base station information includes the mechanical azimuth of the antenna, the mechanical inclination of the antenna, the electric azimuth of the antenna, the electric tilt, the location of the antenna, the height of the antenna, the type of the antenna, and the base station (Radio Unit, RU) It may include at least one of an output, a control beam option, and an antenna gain (horizontal antenna gain, vertical antenna gain).

In addition, environmental information includes topography, altitude, building information (building location, building height, building shape, etc.) from the antenna, which is the transmission point of the radio signal, to the reception point of the radio signal, Terrain penetration, number of terrain penetration, terrain penetration distance, 2-dimensional distance from transmission point to reception point, 3-dimensional distance from transmission point to reception point, free space loss, propagation environment corresponding to reception point (LOS ) points or non-visible path (NLOS) points), etc.

For example, as shown in FIG. 3A , the controller 120 may calculate the 3D distance between the antenna and the reception point by connecting the 3D location of the antenna and the 3D location of the reception point.

In addition, as shown in FIG. 3B, the controller 120 analyzes whether a straight line connecting the 3D position of the antenna and the 3D position of the receiving point meets a building or terrain, and determines the receiving point as a line of sight (LOS). It can be classified as a point or non-line-of-sight (NLOS) point. In addition, the controller 120 may calculate the number of times a straight line connecting the 3D position of the antenna and the 3D position of the receiving point passes through a building or terrain, and the distance through which the terrain is penetrated.

Next, the control unit 120 may calculate a predicted value of wireless communication quality for each measurement point using a wireless propagation environment and a pathloss model.

In detail, the controller 120 may select a specific path loss model from among a plurality of path loss models based on at least one of a frequency band and a type of wireless network system. For example, the controller 120 determines the frequency band to be analyzed, the local environment (eg, urban microcell, urban macrocell, Rural macrocell, etc.), whether it is a line-of-sight (LOS) point or a non-line-of-sight (NLOS) point, etc. Based on this, a specific path loss model may be selected from 3GPP path loss models such as 3GPP TR 36.873, 38.900, 901, and the like.

In addition, the controller 120 may calculate an antenna gain value of a measurement point based on a radio propagation environment, and calculate a predicted value of wireless communication quality for each measurement point using the antenna gain value.

Specifically, the control unit 120 may calculate an antenna gain value of a measurement point using radiation pattern information for each antenna or beam.

Here, the radiation pattern information is within the horizontal angular range (-180 to 180 degrees) and vertical angular range (-180 to 180 degrees) with boresight, which is the radio wave directing direction of the antenna, set to 0 degrees horizontally and 0 degrees vertically. It may mean an antenna gain value for various combinations of horizontal and vertical angles in . In this case, the controller 120 may calculate the antenna gain at the measuring point using the position of the measuring point and the relative position (horizontal angle and vertical angle) with the antenna that transmits the radio signal to the measuring point.

In addition, the control unit 120 calculates a 3D distance (Three Dimension distance) between the base station antenna and the measurement point, and uses the 3D distance, the antenna gain and environment information at the measurement point, etc. to obtain a predicted value for wireless communication quality for each measurement point. can be calculated

Meanwhile, the control unit 120 may set a unit area and calculate an actual value and a predicted value corresponding to the set unit area in order to alleviate the measurement deviation of the measured value of wireless communication quality. This will be described with reference to FIG. 4 .

FIG. 4 is a diagram for explaining a method of calculating measured values and predicted values for each unit area and calculating a correction coefficient using the calculated measured values and predicted values according to the present invention.

Referring to FIG. 4A , the control unit 120 divides the area to be analyzed into unit areas of an appropriate size (for example, a rectangular area of 5m * 5m, a rectangular area of 10m * 10m, etc.) and calculates an actual measurement value for each unit area. can do.

In detail, the controller 120 may calculate a measured value corresponding to the unit area by combining a plurality of measured values collected within the unit area.

For example, if there is one measured value collected from the first unit area 410, the controller 120 may select the collected one measured value as the measured value corresponding to the first unit area 410. there is. For another example, when there are four measured values collected in the second unit area 420, the controller 120 determines an average value, a median value, A maximum value, a minimum value, and the like may be selected as measured values corresponding to the specific unit area 410 .

In addition, a predicted value of wireless communication quality may also be calculated for each unit area.

Therefore, a “measurement point” described in this specification may mean a point where radio quality data is measured or a unit area including one or more measurement points.

Next, the controller 120 may generate a correction coefficient for each measurement point by comparing the measured value and the predicted value for each measurement point (S230). Specifically, the controller 120 may generate a correction factor for each measurement point by calculating the difference between the measured value and the predicted value for each measurement point. An example of the correction coefficient for each measurement point is shown in FIG. 4B.

5 is a diagram for explaining a method of grouping correction coefficients and calculating a representative value of correction coefficients corresponding to the groups according to the present invention.

The control unit 120 may group correction coefficients for each measurement point by base station according to the wireless propagation environment of the measurement point, and calculate a representative value of the correction coefficient corresponding to the group (S240).

Specifically, the controller 120 may group a plurality of correction coefficients of each base station based on the radio propagation environment of the measurement point for each base station.

More specifically, the control unit 120 may select a plurality of correction coefficients generated based on measured values and predicted values of the signal transmitted from the first base station (base station_A1). In addition, the controller 120 may group a plurality of correction coefficients corresponding to the first base station (base station_A1) according to a radio propagation environment and generate a plurality of groups each including one or more correction coefficients.

Here, the group may include a visible path (LOS) group and a non-visible path (NLOS) group. In this case, the LOS group includes one or more correction factors belonging to the LOS environment (the difference between the measured value at the measurement point in the LOS environment and the predicted value at the same point), A non-line-of-sight (NLOS) group may include one or more correction factors belonging to the NLOS environment (the difference between the measured value at a measurement point in the non-line-of-sight (NLOS) environment and the predicted value at the same point). can

Also, the representative value is a value generated by merging correction coefficients in the same group, and may include at least one of an average value (arithmetic average value or geometric average value), a median value, a mode value, and a standard deviation. For example, the representative value of the LOS group may be an average value of correction coefficients belonging to the LOS environment among measurement points belonging to the coverage of the first base station (base station_A1). For another example, the representative value of the LOS group may be a standard deviation of calibration coefficients belonging to the LOS environment among measurement points belonging to the coverage of the first base station (base station_A1).

Meanwhile, in the same manner, the control unit 120 may group a plurality of correction coefficients corresponding to the second base station (base station_A2) and calculate a representative value of the correction coefficient corresponding to the group, and may calculate a representative value of the correction coefficient corresponding to the third base station (base station_A3). ) may be grouped and a representative value of the correction coefficient corresponding to the group may be calculated.

6 is a diagram for explaining detailed groups according to the present invention.

The NLOS group may include a plurality of detailed groups. Specifically, the NLOS group may include a detailed group for each terrain and penetration distance of a building.

For example, referring to FIG. 6A , the NLOS group may include a first subgroup with a transmission distance of 0 m to 20 m, a second sub group with a transmission distance of 20 m to 40 m, and a third sub group with a transmission distance of 40 m or more.

In this case, the controller 120 may calculate a representative value of the correction coefficient corresponding to the detailed group. That is, the control unit 120 sets the correction coefficients corresponding to the first base station (base station_A1) to the visible path (LOS) group, the non-visible path (NLOS) group, the first subgroup within the non-visible path (NLOS), and the non-visible path (NLOS). It can be classified into a second detailed group within the path (NLOS), a third detailed group within the non-visible path (NLOS), and the like. In addition, the control unit 120 includes a representative value of the visible path (LOS) group, a representative value of the non-visible path (NLOS) group, a representative value of the first subgroup within the non-visible path (NLOS), and a control unit within the non-visible path (NLOS). A representative value of two subgroups and a representative value of a third subgroup within the non-visible path (NLOS) may be calculated.

Also, the control unit 120 may perform the same processing for correction coefficients corresponding to other base stations.

Meanwhile, the non-visible path (NLOS) group may include a plurality of detailed groups, and in this case, the NLOS group may include detailed groups according to the number of penetrations of terrain and buildings. For example, the NLOS group may include a first subgroup with one permeation number, a second subgroup with two permeation times, and a third subgroup with three permeation times. In this case, the controller 120 may generate a representative value for each detailed group.

In addition, the visible path (LOS) group and the non-visible path (NLOS) group may include detailed groups for each distance from the base station to the measurement point. For example, as shown in FIG. 6B, the visible path (LOS) group may include a first subgroup of 50 m or less, a second subgroup of 50 m to 100 m, and the like, and the non-line-of-sight (NLOS) group is also 50 m. A first subgroup below, a second subgroup of 50m to 100m, and the like may be included.

In addition, the classification criteria of various detailed groups described above may be combined. For example, the control unit 120 may generate a detailed group belonging to the non-visible path (NLOS) group, having a building penetration count of 1 time, and a distance from a base station to a measurement point of 50 m or less, and calculating a representative value of the detailed group. .

7 is a diagram for explaining a grouping method according to another embodiment.

Previously, the group has been described as including a visible path (LOS) group and a non-visible path (NLOS) group. However, it is not limited thereto, and the group may further include a Near LOS group together with a visible path (LOS) group and a non-visible path (NLOS) group. Also, the near LOS group may include one or more correction coefficients belonging to the near LOS environment.

Specifically, the control unit 120 determines an environment such as a visible path (LOS) / a non-visible path (NLOS) by using environment information such as terrain information and building information in a database. However, the environment simulated by the control unit 120 may be different from the actual environment due to differences between information in the database and actual information, errors in base station information, and the like.

Therefore, in order to buffer such a simulation error, the controller 120 may determine some of the measurement points among the plurality of measurement points belonging to the non-linear path (NLOS) as belonging to the near line path (Near LOS).

Specifically, referring to FIG. 7A , the controller 120 is adjacent to a measurement point belonging to the visible path (LOS) among a plurality of measurement points belonging to the non-visible path (NLOS) and is at a certain distance from the measurement point belonging to the visible path (LOS). A measurement point within the range may be selected as a measurement point belonging to a near LOS.

As another example, the controller 120 selects a measurement point where the penetration distance of the terrain and the building is within a certain distance among a plurality of measurement points belonging to the non-visible path (NLOS) as a measurement point belonging to the near visual path (Near LOS). can

In this case, the controller 120 may group correction coefficients for each measurement point into a visible path (LOS) group, a non-visible path (NLOS) group, and a near visible path group, and calculate a representative value corresponding to each group. In FIG. 7B , representative values respectively corresponding to the visible path (LOS) group, the invisible path (NLOS) group, and the near visible path group are illustrated.

Also, as described with reference to FIG. 6 , the controller 120 may also create detailed groups for a detailed visible path (LOS) group, a non-visible path (NLOS) group, and a near visible path group.

8 is a diagram for explaining a method of calculating a reference value of a correction coefficient for each base station model and determining an actualized error base station according to the present invention.

The control unit 120 may calculate a reference value of a correction coefficient corresponding to a group for each base station model (S250).

Here, the base station model may include the manufacturer and model name of the base station (radio unit) equipment. Therefore, the fact that the base station models of the first base station and the second base station are the same means that the manufacturer and model name of the radio unit equipment of the first base station is the same as the manufacturer and model name of the radio unit equipment of the second base station. can mean

In addition, when the base station and the antenna are configured separately, the base station model may include the manufacturer and model name of the base station (radio unit) equipment, and the manufacturer and model name of the antenna equipment. Therefore, the fact that the base station models of the first base station and the second base station are the same means that the manufacturer and model name of the radio unit equipment of the first base station and the manufacturer and model name of the antenna equipment are the same as those of the radio unit equipment of the second base station. It may mean that the manufacturer and model name are the same as the manufacturer and model name of the antenna equipment.

Referring to FIG. 8A , the controller 120 may calculate a reference value of a correction coefficient for each base station model using a correction coefficient or a representative value of a plurality of base stations belonging to the same base station model.

For example, the controller 120 calculates a reference value of a correction coefficient corresponding to the first base station model using correction coefficients or representative values of a plurality of base stations belonging to the first base station model (eg, Ericsson AIR6488). can

Here, the reference value of the correction coefficient may include at least one of an average value, a median value, a mode value, and a standard deviation.

Also, the controller 120 may calculate a reference value of a correction coefficient for each group.

For example, the control unit 120 merges correction coefficients belonging to the first base station model (e.g., Ericsson AIR6488) and belonging to the LOS group to obtain a value corresponding to the LOS group of the first base station model. A reference value corresponding to a LOS group may be calculated by calculating a reference value or by merging representative values of LOS groups belonging to the first base station model (eg, Ericsson AIR6488).

For another example, the control unit 120 merges correction coefficients belonging to a first base station model (eg, Ericsson AIR6488), belonging to a non-line-of-sight (LOS) group, and belonging to a detailed group having a penetration distance of 20 m or less to form a first base station model. The first base station model by calculating a reference value corresponding to a subgroup with a transmission distance of 20 m or less of the base station model, or by merging representative values of subgroups with a transmission distance of 20 m or less belonging to the first base station model (eg, Ericsson AIR6488). It is possible to calculate a reference value corresponding to a subgroup with a penetration distance of 20 m or less.

As another example, the control unit 120 may set a reference value corresponding to a group (including detailed groups) of the fourth base station model (eg, base station equipment of Ericsson Radio4422 and antenna equipment of Gamanu SB4-65-16-TA). , and a reference value corresponding to a group (including detailed groups) of the fifth base station model (eg, base station equipment of Ericsson Radio4422 and antenna equipment of high-gain SB4-65-16-TA) can be calculated. there is.

In addition, the controller 120 may calculate a reference value of a correction coefficient corresponding to a group for each base station model in the same region. Here, the same region may mean an area having the same morphological environment, such as a city center or a suburb, or may mean the same administrative district (city/province unit, county/eup/myeon unit, or gu/dong unit). For example, the controller 120 may calculate a reference value of a correction coefficient corresponding to a group for each base station model disposed in Gangdong-gu, Seoul.

In addition, the same area may refer to an area located within a certain distance from a base station that is a target of detection of an actualization error. For example, when determining whether a specific base station has an actualization error using a reference value, the control unit 120 determines the correction coefficient corresponding to each group for the same base station model as the specific base station within a radius of 5 km from the specific base station. value can be calculated.

Next, the control unit 120 compares one or more representative values of individual base stations with one or more reference values of the same base station model, and determines a base station whose representative value is out of a threshold range as a realization error base station (S260). .

Specifically, it is assumed that the first base station (base station_A1) is a base station that is subject to detection of an actualization error. Also, the controller 120 may group correction coefficients corresponding to the first base station (base station_A1) and calculate a representative value of the correction coefficient corresponding to the group. In FIG. 8B , the representative value of the LOS group among the representative values of the various groups of the first base station (base station_A1) is shown, and the average value and standard deviation are shown as examples of the representative values.

Then, the controller 120 may compare the representative value of the first base station (base station_A1) with a reference value of the same base station model (base station model A) shown in FIG. 8C. For example, when the base station model of base station_A1 is A, the controller 120 includes the average value included in the representative values of the first base station (base station_A1) as the reference value of the same base station model (base station model A). can be compared with the mean value.

In addition, the control unit 120 may compare the representative value for each group of individual base stations with the reference value for each corresponding group of the same base station model. For example, the controller 120 may compare a representative value of the LOS group of the first base station (base station_A1) with a reference value of the LOS group of the same base station model (base station model A).

Then, the control unit 120 may determine a base station whose representative value is out of a threshold range from the reference value as a realization error base station.

Here, the critical range may mean a difference between a representative value and a reference value. For example, when the reference value is 3.2 (average value) and the threshold range is -3 to +3, the controller 120 determines a base station having a representative value (average value) of 2.8 as a normal base station with no abnormality in currentization. can For another example, when the reference value is 3.2 (average value) and the threshold range is -3 to +3, the control unit 120 converts a base station having a representative value (average value) of 15 into an error that occurs. can be determined by the base station. For another example, when the reference value is 4.7 (standard deviation) and the threshold range is -4 to +4, the control unit 120 selects a base station having a representative value (standard deviation) of 8 as a normal base station that has no abnormality in currentization. can be determined by

Also, the critical range may mean a confidence interval. Specifically, the control unit 120 may calculate a distribution of correction coefficients belonging to a specific group (or a distribution of representative values belonging to a specific group) with respect to reference values corresponding to a specific group of the base station model. In this case, the distribution of correction coefficients belonging to a specific group can be calculated close to the normal distribution. Further, the control unit 120 may calculate a confidence interval (eg, 0.652 to 5.748) such that the representative value falls within a certain confidence range (eg, 99% percentile) under the distribution of correction coefficients belonging to a specific group. .

And when the confidence interval is 0.652 to 5.748, the representative value of 23.2 is outside the confidence interval. In this case, the control unit 120 may determine a base station having a representative value of 23.2 as a realization error base station. For another example, when the confidence interval is 0.652 to 5.748, a representative value of 3.7 does not fall outside the confidence interval. In this case, the controller 120 may determine a base station having a representative value of 3.7 as a normal base station.

Meanwhile, in the above, it has been described that the actualization error base station is determined by comparing a representative value of a visible path (LOS) group of a specific base station with a reference value of a visible path (LOS) group of the same base station model, but is not limited thereto. That is, the control unit 120 may compare the representative value and the reference value for each of various groups (including detailed groups) and determine the actualization error base station in consideration of the comparison result.

In addition, the control unit 120 may determine a realization error base station using two or more representative values and two or more reference values. For example, the control unit 120 determines whether the average value included in the representative value is out of a critical range from the average value included in the reference value, or the standard deviation included in the representative value is out of a critical range from the standard deviation included in the reference value. In this case, it may be determined that the corresponding base station is the current base station and the error base station.

In addition, the control unit 120 compares one or more representative values of individual base stations with one or more reference values of the same base station model deployed in the same area as the individual base stations, and identifies base stations whose representative values are out of a threshold range from the reference value. It can be determined as an error base station.

For example, when the first base station (base station_A1) is located in Seongnam, the control unit 120 converts the representative value of the LOS group of the first base station (base station_A1) to the same base station model located in Seongnam. It can be compared with the reference value of the LOS group of (base station model A).

For another example, the control unit 120 converts the representative value of the LOS group of the first base station (base station_A1) to the same base station model (base station model A) disposed within a radius of 5 km from the first base station (base station_A1). ) can be compared with the reference value of the visible path (LOS) group.

9 is a flowchart for explaining a method of calculating an expected realization value for an actualization error base station according to the present invention.

A method for detecting an actualization error of a base station according to the present invention includes the step of selecting an actualization candidate location using the locations of a plurality of receiving points from which radio quality measurement data related to the actualization error base station is collected (S270), and the actualization candidate Calculating an expected current value including a new inclination angle and a new azimuth angle using location information of the location (S280), based on the expected current value, calculating a predicted value for wireless communication quality for each measurement point. (S290), generating a correction coefficient based on the expected realization value by comparing the predicted value based on the actual measured value and the expected realization value for each measurement point (S300), and representative of the correction coefficient based on the expected realization value Comparing the value with a reference value of the same base station model, and determining the expected actualization value as the actualization value of the actualization error base station when the representative value of the correction coefficient based on the expected actualization value does not deviate from the reference value within a threshold range (S310) may be further included.

This will be described with reference to FIG. 10 .

10 is a diagram for explaining a method of calculating an expected realization value according to the present invention.

The control unit 120 may select a currentization candidate location using the locations of a plurality of receiving points from which radio quality measurement data related to the currentization error base station is collected (S270).

Specifically, when the first base station is an actualization error base station, the control unit 120 selects measurement positions where radio quality data related to the first base station is collected among the above-described measurement positions as a plurality of receiving points related to the first base station. can That is, the plurality of reception points related to the first base station may mean measurement positions at which radio signals transmitted from the first base station, which is a current error base station, are received.

In addition, the control unit 120 may select a currentization candidate location using the locations of a plurality of receiving points.

In this case, one currentization candidate location may be selected. For example, the control unit 120 may select a reception point having the largest measured value (ie, the largest received signal strength) as a currentization candidate position. For another example, the control unit 120 may select a receiving point having the largest number of collected radio quality measurement data as an actualization candidate location. For another example, the controller 120 may select n number of receiving points having a larger actually measured value, and select the center positions (eg, centers of gravity) of the selected receiving points as candidate locations for actualization. For another example, the control unit 120 may select n number of receiving points having more collection counts, and select the center positions (eg, centers of gravity) of the selected receiving points as candidate locations for actualization.

Also, the control unit 120 may select a plurality of currentization candidate locations. Specifically, the plurality of actualized candidate positions are at least one of the center of a plurality of receiving points having a measured value of a certain size or more, n receiving points having a larger measured value, and n receiving points having a larger number of collections. can include

More specifically, the plurality of actualized candidate positions may be composed of n receiving points having a larger actual value. Here, n may be a variable value or a fixed value. That is, when a receiving point having a measured value equal to or greater than a certain size is selected as an actualization candidate position, n may be variable values. Further, when n receiving points having a larger actual value among the total m receiving points are selected as actualization candidate positions, n may be fixed values. Also, the plurality of actualization candidate positions may be composed of only n receiving points having a larger actual value.

In addition, a plurality of actualization candidate locations may be composed of n receiving points having a greater number of collections. And, when receiving points having a collection number of more than a certain number are selected as candidate positions for realization, n may be a variable value, and n receiving points having a greater number of collections among the total m receiving points are actualized. In the case of selection as candidate positions, n may be a fixed value. Also, the plurality of actualization candidate locations may be composed of only n receiving points having a greater number of collections.

In addition, a plurality of currentization candidate positions may be a combination of receiving points selected by various selection methods.

For example, a plurality of actualized candidate positions are n receiving points having a larger actual value, n receiving points having a larger number of collections, centers of n receiving points having a larger actual value, and a larger number of collections. It may include all the centers of n receiving points having .

On the other hand, if the location of the currentization candidate is selected, the control unit 120 may calculate an expected currentization value using location information of the currentization candidate location (S280).

As described above, the radio propagation environment may include base station information and environment information. Therefore, the radio propagation environment of the currentization candidate location may include base station information of the currentization error base station and environment information of the currentization candidate location.

In this case, the control unit 120 may calculate an expected currentization value including a new inclination angle of the base station and a new azimuth angle of the base station by using location information of the currentization candidate location.

Specifically, the existing prediction value was generated based on the existing actualized value (existing inclination angle and existing azimuth angle). In FIG. 10A, a boresight 1020, which is a radio wave directing direction of an antenna in a conventional current value, is shown.

In addition, the control unit 120 uses the location information of the actualization error base station 1010 and the location information of the currentization candidate location, based on the actualization error base station 1010 (an antenna when the base station and antenna are separated). A direction towards the candidate position can be calculated.

Specifically, the direction 1030 may include a horizontal direction, and the control unit 120 controls the horizontal position (eg, longitude and latitude) of the localization error base station 1010 and the horizontal position of the localization candidate position (eg, The horizontal direction 1030 toward the current candidate location may be calculated based on the current error base station 1010 (an antenna when the base station and the antenna are separated) using the longitude and latitude of the current candidate location.

In addition, the direction may include a vertical direction, and the control unit 120 determines the vertical position of the currentization error base station 1010 (for example, the height of an antenna) and the vertical coordinates of the currentization candidate location (for example, the currentization candidate location). Altitude of) can be used to calculate the vertical direction 1040 toward the currentization candidate location based on the actualization error base station 1010 (an antenna when the base station and antenna are separated).

In this case, the control unit 120 may newly set the direction toward the currentization candidate position based on the currentization error base station 1010 (an antenna when the base station and antenna are separated) as boresight, which is the radio wave directing direction of the antenna. . Accordingly, the inclination angle and the azimuth angle of the base station included in the existing currentization value are updated based on the new boresight, and accordingly, the expected currentization value including the new inclination angle and the new azimuth angle can be calculated. In addition, the existing radio propagation environment may be newly updated according to the expected realization value including the new inclination angle and the new azimuth angle.

Meanwhile, referring to FIG. 10B , the new tilt angle may include a mechanical tilt angle (M-tilt) and an electrical tilt angle (E-tilt). Also, the calculated new inclination angle may mean the sum of the mechanical inclination angle (M-tilt) and the electrical inclination angle (E-tilt). Also, since the electrical inclination angle (E-tilt) is a value known in advance, the controller 120 may calculate a new mechanical inclination angle (M-tilt).

Meanwhile, the control unit 120 may calculate a predicted value for wireless communication quality for each measurement point based on the expected realization value (S290). In this regard, S220 described above may be applied.

That is, the control unit 120 may calculate a predicted value of wireless communication quality for each measurement point using a radio propagation environment and a pathloss model, where the radio propagation environment is an expected current value, that is, a new inclination angle and May contain new azimuths.

In addition, the controller 120 may generate a correction coefficient based on the predicted actualized value by comparing the measured value for each measurement point with a predicted value based on the predicted actualized value (S300). In this regard, S230 described above may be applied.

That is, the control unit 120 may generate a correction factor for each measurement point by calculating a difference between a predicted value based on an actual measured value and an expected realization value for each measurement point.

Then, the control unit 120 compares the representative value of the correction coefficient based on the expected currentization value with one or more reference values of the same base station model, and when the correction coefficient based on the expected currentization value does not deviate from the reference value , It is possible to determine the expected currentization value as the currentization value of the error base station (S310). In this regard, S240 and S260 described above may be applied.

That is, the control unit 120 groups a plurality of correction coefficients (correction coefficients based on the expected current values) for the actualization error base station according to the radio propagation environment of the measurement point, and a representative value of the correction coefficients corresponding to the group (expected current correction coefficients). A representative value based on the conversion value) can be calculated.

In addition, the control unit 120 may compare the representative value for each group of base stations with realization errors with the reference value for each corresponding group of the same base station model.

In addition, when the representative value of the correction coefficient based on the expected currentization value does not deviate from the reference value and within a threshold range, the controller 120 may determine the expected currentization value as the currentization value of the error base station. That is, the angle of inclination and azimuth of the base station included in the current value of the existing base station may be updated to a new angle of inclination and azimuth included in the expected current value.

Meanwhile, it has been described above that a plurality of currentization candidate positions are selected, and accordingly, a plurality of expected localization values respectively corresponding to the plurality of localization candidate positions exist. Accordingly, there may also be a plurality of expected realization values that do not allow the representative value of the correction coefficient based on the expected realization value to deviate from the reference value within a critical range.

In this case, the control unit 120 may determine the expected currentization value used in calculating the representative value closest to the reference value as the currentization value of the localization error base station.

For example, it is assumed that the reference value of the LOS group of the same base station model is 3.2 and the threshold range is -3 to +3. In addition, a first expected currentization value (including a first inclination angle and a first azimuth angle) corresponding to the first localization candidate position exists, and a representative value of a line of sight (LOS) group generated based on the first localization value is Assume 4. In addition, a second predicted currentization value (including a second inclination angle and a second azimuth angle) corresponding to the second localization candidate position exists, and a representative value of a line of sight (LOS) group generated based on the second localization value is Assume 5.5.

In this case, both the representative value 4 of the correction factor based on the first expected realization value and the representative value 5.5 of the correction factor based on the second expected realization value do not deviate from the reference value 3.2. However, since the representative value 4 of the correction coefficient based on the first expected current value is closest to the reference value 3.2, the controller 120 determines the first expected current value used to calculate the representative value closest to the reference value. The localization value may be determined as the localization value of the localization error base station.

As described above, according to the present invention, it is possible to detect abnormalities in base station construction information such as the azimuth and inclination (tilt) of the base station, and inform the operator of the base station that needs to be updated. Accordingly, since it is possible to provide the operator with information on the base station to be actually visited and perform the actualization work, there is an advantage in that manpower and time for equipment maintenance and repair can be saved.

In addition, according to the present invention, there is an advantage in that accuracy and reliability of a coverage prediction/optimization system operating based on a currentization value can be improved by automatically calculating a currentization value for a currentization error base station.

The above-described present invention can be implemented as computer readable code on a medium on which a program is recorded. The computer-readable medium includes all types of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. there is Also, the computer may include a processor 180 of a server. Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

110: communication unit 120: control unit
130: memory

Claims (20)

collecting measured values of wireless communication quality for each measurement point;
calculating a predicted value of wireless communication quality for each measurement point;
generating a correction coefficient for each measurement point by comparing an actual value and a predicted value for each measurement point;
Grouping correction coefficients for each measurement point by base station according to the radio propagation environment of the measurement point, and calculating a representative value of the correction coefficient corresponding to the group;
Calculating a reference value of a correction coefficient corresponding to the group for each base station model; and
Comparing one or more of the representative values of an individual base station with one or more of the reference values of the same base station model, and determining a base station whose representative value is out of a threshold range from the reference value as a realization error base station.
Currentization error detection method of base station. According to claim 1,
said group,
Including a visible path (LOS) group and a non-visible path (NLOS) group,
The non-visible path (NLOS) group,
Includes detailed groups by penetration distance of terrain and buildings
Currentization error detection method of base station. According to claim 1,
said group,
Including a visible path (LOS) group and a non-visible path (NLOS) group,
The visible path (LOS) group and the non-visible path (NLOS) group,
Includes detailed groups for each distance from the base station to the measurement point
Currentization error detection method of base station. According to claim 1,
said group,
including a visible path (LOS) group, a non-visible path (NLOS) group, and a near visible path group.
Currentization error detection method of base station. According to claim 1,
The representative value is
comprising at least one of a mean value, a median value, a mode value, and a standard deviation
Currentization error detection method of base station. According to claim 1,
Determining a base station outside the threshold range as a realization error base station,
Comprising the step of comparing the representative value for each group of the individual base station with the reference value for each corresponding group of the same base station model
Currentization error detection method of base station. According to claim 1,
Determining a base station outside the threshold range as a realization error base station,
Comparing one or more representative values of the individual base station with one or more reference values of the same base station model deployed in the same area as the individual base station;
Currentization error detection method of base station. According to claim 1,
selecting a currentization candidate location using the locations of a plurality of receiving points from which radio quality measurement data related to the currentization error base station is collected; and
Calculating an expected currentization value including a new inclination angle and a new azimuth angle by using the location information of the currentization candidate position; further comprising
Currentization error detection method of base station. According to claim 8,
Calculating a predicted value for wireless communication quality for each measurement point based on the expected realization value;
generating a correction coefficient based on the expected realization value by comparing the measured value for each measurement point with a predicted value based on the expected realization value; and
A representative value of the correction coefficient based on the expected currentization value is compared with a reference value of the same base station model, and when the representative value of the correction coefficient based on the expected currentization value does not deviate from the reference value within a threshold range, the expected currentization value Determining as the currentization value of the localization error base station; further comprising
Currentization error detection method of base station. According to claim 9,
Determining the expected localization value as the localization value of the localization error base station,
If there are a plurality of expected realization values in which the representative value of the correction coefficient does not deviate from the reference value and a threshold range, the expected realization value used in calculating the representative value closest to the reference value is selected as the actual current error of the base station. Including;
Currentization error detection method of base station. According to claim 8,
In the step of selecting the localization candidate position,
Including; selecting a plurality of localization candidate positions;
The plurality of actualization candidate positions,
At least one of n receiving points having a larger measured value, n receiving points having a greater number of collections, centers of n receiving points having a larger measured value, and centers of n receiving points having a larger number of collections. containing
Currentization error detection method of base station. a communication unit that collects actual values of wireless communication quality for each measurement point; and
A predicted value for wireless communication quality is calculated for each measurement point, a correction coefficient for each measurement point is generated by comparing the measured value and the predicted value for each measurement point, and the correction coefficient for each measurement point is calculated for each base station. group according to the radio propagation environment, calculate a representative value of the correction coefficient corresponding to the group, calculate a reference value of the correction coefficient corresponding to the group for each base station model, and set one or more of the representative values of individual base stations to the same Comparing with one or more of the reference values of the base station model, and determining a base station whose representative value is out of a threshold range from the reference value as a realization error base station; including
Base station actualization error detection device. According to claim 12,
The representative value is
comprising at least one of a mean value, a median value, a mode value, and a standard deviation
Base station actualization error detection device. According to claim 12,
The control unit,
Comparing the representative value for each group of the individual base station with the reference value for each corresponding group of the same base station model
Base station actualization error detection device. According to claim 12,
The control unit,
Comparing one or more representative values of the individual base station with one or more reference values of the same base station model deployed in the same area as the individual base station
Base station actualization error detection device. According to claim 12,
The control unit,
Selecting an actualization candidate position using the locations of a plurality of receiving points from which radio quality measurement data related to the actualization error base station is collected;
Calculating an expected currentization value including a new inclination angle and a new azimuth using the location information of the currentization candidate position
Base station actualization error detection device. According to claim 16,
The control unit,
Based on the expected realization value, a predicted value for wireless communication quality is calculated for each measurement point;
Comparing an actual value for each measurement point with a predicted value based on the expected realization value to generate a correction coefficient based on the expected realization value;
A representative value of the correction coefficient based on the expected currentization value is compared with a reference value of the same base station model, and when the representative value of the correction coefficient based on the expected currentization value does not deviate from the reference value within a threshold range, the expected currentization value To determine the actualization value of the localization error base station
Base station actualization error detection device. According to claim 17,
The control unit,
If there are a plurality of expected realization values in which the representative value of the correction coefficient does not deviate from the reference value and a threshold range, the expected realization value used in calculating the representative value closest to the reference value is selected as the actual current error of the base station. determined by the value of
Base station actualization error detection device. According to claim 16,
The control unit,
Selecting a plurality of currentization candidate positions,
The plurality of actualization candidate positions,
At least one of n receiving points having a larger measured value, n receiving points having a greater number of collections, centers of n receiving points having a larger measured value, and centers of n receiving points having a larger number of collections. containing
Base station actualization error detection device. collecting measured values of wireless communication quality for each measurement point;
calculating a predicted value of wireless communication quality for each measurement point;
generating a correction coefficient for each measurement point by comparing an actual value and a predicted value for each measurement point;
Grouping correction coefficients for each measurement point by base station according to the radio propagation environment of the measurement point, and calculating a representative value of the correction coefficient corresponding to the group;
Calculating a reference value of a correction coefficient corresponding to the group for each base station model; and
comparing one or more representative values of an individual base station with one or more reference values of the same base station model, and determining a base station whose representative value is out of a threshold range from the reference value as an actualization error base station; A computer program stored on a medium for performing an error detection method.

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