KR20210048815A - System and method for optimizing wireless network - Google Patents

Abstract

Disclosed are a wireless network optimization system to increase correctness and reliability in optimization of a wireless network and a method thereof. According to one embodiment of the present invention, the wireless network optimization system adjusts parameters of base station antennas forming a wireless network. The wireless network optimization system comprises: a communication quality value acquisition unit dividing a target area for performing wireless network optimization into a plurality of unit areas to acquire a communication quality value for each unit area; an antenna interference optimization unit using the communication quality value for each unit area to calculate a signal interference amount in an area, which is not a serving area of a corresponding antenna, for each antenna of the target area and changing parameters of an antenna with the corresponding signal interference amount greater than a predetermined reference value to optimize interference between the antennas of the target area; and a unit area optimization unit selecting an optimization target unit area on the basis of the communication quality value acquired for each unit area of the target area after the parameters are changed by the antenna interference optimization unit and changing parameters of an antenna related to the communication quality of the selected unit area to optimize the communication quality of the selected unit area.

Description

System and method for optimizing wireless network

The present invention relates to a wireless network optimization system and method, and more particularly, to a wireless network optimization system and method for optimizing a wireless network by adjusting parameters of base station antennas constituting the wireless network.

Recently, as various wireless access networks have been built, such as commercialization of 5G mobile communication through 4G mobile communication technologies, LTE (Long Term Evolution) and LTE-A (Long Term Evolution-Advanced), interest in technology for optimizing wireless networks. And requests are increasing rapidly.

However, as disclosed in Korean Patent Laid-Open Publication No. 10-2006-0003147, the existing technology simply designs a wireless network using only geographic information stored in a database, and thus the accuracy and reliability of wireless network optimization is poor, and the target region for optimization There is a problem that the overall communication quality of the communication cannot be equalized.

In addition, when a drive test is performed in all regions to be optimized in order to increase the accuracy and precision of wireless network optimization, there is a problem that a lot of time and cost are required for wireless network optimization.

The technical problem to be solved by the present invention is that it is possible to improve the accuracy and reliability of wireless network optimization, to increase the overall communication quality of the optimization target region, as well as to streamline and speed up the wireless network optimization process and reduce the amount of computation. It is to provide a wireless network optimization system and method.

A wireless network optimization system according to an embodiment of the present invention is a system for optimizing a wireless network by adjusting parameters of base station antennas constituting a wireless network, by dividing a target area to perform optimization of the wireless network into a plurality of unit areas. A communication quality value acquisition unit that acquires a communication quality value for each unit area; A signal interference amount in an area other than the serving area of the corresponding antenna is calculated for each antenna of the target area using the communication quality value for each unit area, and the parameter of the antenna having the corresponding signal interference amount greater than a predetermined reference value is changed, and the target area An antenna interference optimizer that optimizes interference between the antennas of the antenna; And selecting an optimization target unit region based on a communication quality value obtained for each unit region of the target region after parameter change by the antenna interference optimizer, and changing an antenna parameter related to the communication quality of the selected unit region. It includes an optimization unit for each unit area that optimizes the communication quality of the selected unit area.

In one embodiment, the communication quality value acquisition unit collects a measurement value from a measurement terminal measuring communication quality in the target area or calculates a prediction value through a communication quality prediction model, and the target It is configured to obtain a communication quality value including a Reference Signal Received Power (RSRP) and a Signal to Interference Noise Ratio (SINR) of each antenna located in an area.

In an embodiment, the antenna interference optimizing unit comprises: an interference amount calculator configured to calculate a signal interference amount for each antenna in the target area by using the signal strength obtained for each unit area by the communication quality value acquisition unit; A target antenna selection unit for selecting an antenna with a calculated signal interference amount greater than a reference value determined in relation to a model of the corresponding antenna as an optimization target antenna; And changing a parameter related to the electrical tilt, mechanical tilt, or azimuth of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or an average communication quality value of unit regions affected by the communication quality by the selected antenna, or And a first parameter adjusting unit that changes the median communication quality in a direction to improve.

In an embodiment, the interference amount calculating unit includes the number of unit regions other than the serving region of the antenna, or a corresponding unit region other than the serving region, among unit regions in which the signal strength of the antenna is greater than a predetermined reference strength. It is configured to calculate the sum of the signal strength of the antenna as the signal interference amount of the corresponding antenna.

In an embodiment, the target antenna selection unit is configured to calculate an average value of the amount of signal interference for each antenna model, and to determine the calculated average value as the reference value.

In one embodiment, the first parameter adjusting unit is configured to prioritize and change a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas when a plurality of antennas are detected by the target antenna selection unit. do.

In an embodiment, the first parameter adjusting unit is configured to change a parameter related to an electrical tilt of the selected antenna, and then change a parameter related to a mechanical tilt or an azimuth angle.

In an embodiment, the optimization unit for each unit area comprises: a unit area selection unit for selecting an optimization target unit area based on a communication quality value obtained for each unit area of the target area after parameter change by the antenna interference optimizer; A related antenna detection unit for detecting an antenna related to communication quality of the selected unit area by using the signal strength of each antenna in the selected unit area; And changing parameters related to the electrical tilt, mechanical tilt, or azimuth of the detected antenna in a direction to improve the communication quality value of the selected unit area, or communication quality of unit areas affected by the communication quality by the detected antenna. And a second parameter adjusting unit that changes the average value or the median communication quality value in a direction of improving.

In one embodiment, the unit region selector selects a unit region representing a communication quality lower than a predetermined communication quality by referring to a communication quality value obtained for each unit region of the target region as an optimization target unit region, It is configured to prioritize a unit area representing communication quality.

In an embodiment, the related antenna detection unit is configured to detect an antenna having the largest signal strength in the selected unit area as a serving antenna using the selected unit area as a serving area.

In one embodiment, the second parameter adjusting unit is, when a plurality of antennas are selected by the related antenna detection unit, signal strength in the selected unit region with respect to an antenna other than the serving antenna among the plurality of detected antennas. It is configured to change the parameters of the corresponding antenna in the direction of decreasing.

In an embodiment, the second parameter adjusting unit is configured to change a parameter related to a mechanical tilt or an azimuth angle after line-changing a parameter related to an electrical tilt of the detected antenna.

A wireless network optimization method according to an embodiment of the present invention is a method for optimizing a wireless network by adjusting parameters of base station antennas constituting a wireless network by a computer system capable of data communication. (A) dividing the target area into a plurality of unit areas to obtain a communication quality value for each unit area; The system calculates a signal interference amount in an area other than the serving area of the corresponding antenna for each antenna in the target area using the communication quality value for each unit area, and changes a parameter of an antenna with a corresponding signal interference amount greater than a predetermined reference value, (B) optimizing interference between antennas in the target area; And the system selects an optimization target unit area based on the communication quality value obtained for each unit area of the target area after step (b), and changes the antenna parameter related to the communication quality of the selected unit area to select the selected unit area. (C) optimizing the communication quality of the unit area.

In an embodiment, in the step (a), the system collects a measurement value from a measurement terminal measuring communication quality in the target area or calculates a prediction value through a communication quality prediction model, and the unit area of the target area And obtaining a communication quality value including a Reference Signal Received Power (RSRP) and a Signal to Interference Noise Ratio (SINR) of each antenna located in the target area for each.

In an embodiment, the step (b) includes: (b1) calculating a signal interference amount for each antenna of the target area by using the signal strength obtained for each unit area of the target area; (B2) selecting an antenna in which the calculated signal interference amount is greater than the reference value determined in relation to the model of the corresponding antenna as an optimization target antenna; And changing a parameter related to the electrical tilt, mechanical tilt, or azimuth of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or an average communication quality value of unit regions affected by the communication quality by the selected antenna, or And (b3) changing the communication quality median value in the direction of improving.

In an embodiment, in the step (b1), among unit regions in which the signal strength of the antenna is greater than a predetermined reference strength, the number of unit regions other than the serving region of the corresponding antenna or for each unit region other than the serving region And calculating the sum of the signal strengths of the corresponding antenna as the signal interference amount of the corresponding antenna.

In an embodiment, the step (b2) includes calculating an average value of the amount of signal interference for each antenna model, and determining the calculated average value as the reference value.

In an embodiment, in the step (b3), when a plurality of antennas are selected in step (b2), the step of prioritizing and changing a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas is performed. Includes.

In an embodiment, the step (b3) includes changing a parameter related to an electrical tilt of the selected antenna, and then changing a parameter related to a mechanical tilt or an azimuth angle.

In an embodiment, the step (c) includes: (c1) selecting an optimization target unit area based on a communication quality value obtained for each unit area of the target area after parameter change in step (b); (C2) detecting an antenna related to the communication quality of the selected unit area by using the signal strength of each antenna in the selected unit area; And changing parameters related to the electrical tilt, mechanical tilt, or azimuth of the detected antenna in a direction to improve the communication quality value of the selected unit area, or communication quality of unit areas affected by the communication quality by the detected antenna. And (c3) changing the average value or the median communication quality in the direction of improving.

In an embodiment, in the step (c1), a unit area representing a communication quality lower than a predetermined communication quality is selected as the optimization target unit area by referring to a communication quality value obtained for each unit area of the target area. And prioritizing a unit region representing a low communication quality.

In an embodiment, the step (c2) includes detecting an antenna having the largest signal strength in the selected unit region with a serving antenna having the selected unit region as a serving region.

In an embodiment, in the step (c3), when a plurality of antennas are detected in the step (c2), signal strength in the selected unit region with respect to an antenna other than the serving antenna among the plurality of detected antennas. And changing a parameter of the corresponding antenna in a direction of decreasing.

In an embodiment, the step (c3) includes changing a parameter related to an electrical tilt of the detected antenna, and then changing a parameter related to a mechanical tilt or an azimuth angle.

Embodiments of the present invention may be implemented using a computer program recorded on a recording medium as a computer program that executes the above-described operation or method through a computer system.

According to the present invention, by subdividing an area to be optimized for a wireless network into a plurality of unit areas and performing optimization by checking communication quality for each subdivided unit area, the accuracy and reliability of wireless network optimization is improved, and the communication quality of the area to be optimized. Can be leveled overall.

In addition, by optimizing the interference between antennas for the entire wireless network optimization target area and then performing the optimization again for each unit area, the precision and reliability of wireless network optimization can be further improved.

In addition, by determining a parameter change direction of an optimization target antenna in advance in consideration of the communication quality of each unit area and adjusting the corresponding parameter, the wireless network optimization process can be efficiently and quickly reduced and the amount of computation can be reduced.

Furthermore, those of ordinary skill in the art to which the present invention pertains will clearly understand from the following description that various embodiments according to the present invention can solve various technical problems not mentioned above.

1 is a diagram showing an example of a communication network environment to which the present invention is applied.
2 is a block diagram showing a wireless network optimization system according to an embodiment of the present invention.
3 is a flowchart illustrating an antenna interference optimization process of a method for optimizing a wireless network according to an embodiment of the present invention.
4 is a diagram showing an example of an RSRP value for each unit area by a wireless network optimization target area antenna.
5 is a flowchart illustrating an optimization process for each unit area of a method for optimizing a wireless network according to an embodiment of the present invention.
6 is a diagram illustrating an example of SINR values for each unit area by local antennas to be optimized for a wireless network.
7 is a diagram illustrating an example of an RSRP value for each antenna in an optimization target unit area.
8 is a diagram illustrating a relative position between a bore site of an antenna and an optimization target unit area.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to clarify a solution to the technical problem of the present invention. However, in describing the present invention, if the description of the related known technology rather obscure the subject matter of the present invention, a description thereof will be omitted. In addition, terms used in the present specification are terms defined in consideration of functions in the present invention, and these may vary according to intentions or customs of designers, manufacturers, and the like. Therefore, the definition of terms to be described later should be made based on the contents throughout the present specification.

1 shows an example of a communication network environment to which the present invention is applied.

1, the communication network environment to which the present invention is applied is a network information management server 10, a geographic information system (GIS) 20, a measurement terminal 30, a base station 40, and a worker terminal 50. ) And the like.

The network information management server 10 is, for example, a server operated by a network operator and is configured to store and manage base station information, base station setting information, and the like of the base station 40 constituting a wireless network. In this case, the base station information may include information on the location, azimuth angle, tilt angle, radiation pattern, and the like of the base station antenna. In addition, the base station configuration information may include information on a frequency band used by the base station, base station power, and the like.

The GIS 20 is configured to store and manage geographic information for each region. In this case, the geographic information may include information on the elevation of the area, the location of the building, and the height of the building.

The measurement terminal 30 is configured to measure wireless communication quality in a target area to perform wireless network optimization. In this case, the measured radio communication quality is RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), RSSI (Received Signal Strength Indicator), SINR (Signal to Interference Noise Ratio), SS (Synchronization Signal)-RSRP, It may include one or two or more of CSI (Channel State Info.)-RSRP, SS-RSRQ, CSI-RSRQ, SS-SINR, and CSI-SINR.

The worker terminal 50 is a personal communication device possessed by a worker performing wireless network optimization work in the field, and may be configured with a smartphone, a tablet PC, or a personal digital assistant (PDA).

The wireless network optimization system 100 according to the present invention is applied to such a communication network environment and uses information collected from the network information management server 10 or GIS 20 and a communication quality prediction model to predict the communication quality for each unit area. Or by collecting the communication quality measurement value from the measurement terminal 30, obtaining a communication quality value for each unit area of the target area, and using the obtained communication quality value to configure the parameters of the base station antennas constituting the wireless network of the target area Is configured to adjust.

2 is a block diagram of a wireless network optimization system 100 according to an embodiment of the present invention.

As shown in Figure 2, the wireless network optimization system 100 according to an embodiment of the present invention may be composed of one or two or more servers or computer devices that are physically divided, the communication unit 101, the input unit ( 102), an output unit 103, a storage unit 104, and a control unit 105.

The communication unit 101 receives data transmitted from other communication devices through a wired/wireless communication network and transmits it to the control unit 105, or communicates data generated or processed by the control unit 105 to other servers or computers. It is configured to transmit to the devices. To this end, the communication unit 101 may include a communication modem that performs wired/wireless communication. In this case, the communication unit 101 may include a WiFi communication module performing wireless communication with a nearby AP (Access Point), an LTE or LTE-A communication module, or a 5G communication module performing direct communication with other communication devices. have. In addition, the communication unit 101 may include a USB port, a wired LAN port, or various communication ports to which other data transmission cables are connected.

The input unit 102 is configured to receive an operator's or manager's command or data. To this end, the input unit 102 may include an input device such as a keyboard, a mouse, an operation button, or a touch panel.

The output unit 103 is configured to output data or information visually or audiovisually. To this end, the output unit 103 may include an image display device such as a monitor, a display panel, or a touch screen. In addition, the output unit 103 may further include a sound generating device such as a speaker.

The storage unit 104 is configured to store and manage data necessary for the operation of the wireless network optimization system 100. To this end, the storage unit 104 may selectively include various storage media such as ROM, RAM, EEPROM, register, flash memory, CD-ROM, magnetic tape, hard disk, floppy disk, and optical data recording device.

The controller 105 controls the overall operation of the wireless network optimization system 100 and is configured to optimize antenna interference in a wireless network optimization target area and optimize for each unit area. To this end, the controller 105 may selectively include hardware such as a general-purpose processor for executing control logic, an application-specific integrated circuit (ASIC), other chipsets, logic circuits, registers, and memory. Meanwhile, the control unit 105 may be configured by a combination of hardware and software. That is, the control logic of the control unit 105 is composed of a computer program and stored in its own memory or storage unit 104 of the control unit 105, and the stored computer program may be configured to be executed through hardware of the control unit 105. .

The control unit 105, as detailed components functionally classified, includes a communication quality value acquisition unit 110, an antenna interference optimization unit 120, and an optimization unit 130 for each unit area.

The communication quality value acquisition unit 110 is configured to obtain a communication quality value for each unit area by dividing a target area to perform optimization of the wireless network into a plurality of unit areas. For example, the communication quality value acquisition unit 110 By using information about the base station in the target area and a communication quality prediction model such as geographic information and a pathloss model, the theoretical predicted value of communication quality for each unit area of the target area is calculated, or the communication quality is measured in the target area. By receiving the communication quality measurement value from the measurement terminal 30 to obtain a communication quality value for each unit area. In this case, the communication quality value obtained for each unit area may include a reference signal received power (RSRP) and a signal to interference noise ratio (SINR) of each antenna located in the target area.

The antenna interference optimizer 120 calculates a signal interference amount in an area other than the serving area of the corresponding antenna for each antenna in the target area by using the obtained communication quality value for each unit area, and the corresponding signal interference amount is a predetermined reference value. By changing a parameter of a larger antenna, it is configured to optimize interference between antennas in the target area. To this end, the antenna interference optimizing unit 120 may include an interference amount calculating unit 122, a target antenna selecting unit 124, and a first parameter adjusting unit 126.

The interference amount calculation unit 122 is configured to calculate a signal interference amount for each antenna in the target area by using a signal strength such as RSRP obtained for each unit area by the communication quality value acquisition unit 110. In this case, the interference amount calculation unit 122 includes the number of unit regions in which the signal strength of the antenna is greater than a predetermined reference strength, or the number of unit regions other than the serving region of the antenna, or the corresponding antenna displayed for each unit region other than the serving region. It may be configured to calculate the sum of the signal strengths as the amount of signal interference of the corresponding antenna.

The target antenna selection unit 124 is configured to select an antenna for which the signal interference amount calculated by the interference amount calculation unit 122 among antennas located in the target area is greater than the reference value determined in relation to the model of the corresponding antenna as an optimization target antenna. . In this case, the target antenna selection unit 124 may be configured to calculate an average value of the amount of signal interference for each antenna model, and to determine the calculated average value as the reference value.

The first parameter adjustment unit 126 changes parameters related to electrical tilt, mechanical tilt, or azimuth angle of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or affects communication quality by the selected antenna. It is configured to change in the direction of improving the average communication quality value or the median communication quality value of the received unit areas. Here, the electrical tilt is to adjust the vertical angle of a radio wave or a beam radiated from an antenna by adjusting the phase and amplitude of the supply current and voltage of the radiating element. Mechanical tilt is to adjust the vertical angle of the radio wave or beam emitted from the antenna by physically tilting the antenna.

In one embodiment, when a plurality of antennas are selected by the target antenna selection unit 124, the first parameter adjusting unit 126 prioritizes a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas. Can be configured to change. In addition, the first parameter adjusting unit 126 may be configured to change a parameter related to an electrical tilt of the selected antenna before changing a parameter related to a mechanical tilt or an azimuth angle.

The optimization unit 130 for each unit area selects an optimization target unit area within the target area based on the communication quality value obtained for each unit area of the target area after parameter change by the antenna interference optimizer 120 , By changing a parameter of an antenna related to the communication quality of the selected unit area, and optimizing the communication quality of the selected unit area. To this end, the unit region optimization unit 130 may include a unit region selection unit 132, a related antenna detection unit 134, and a second parameter adjustment unit 136.

The unit region selecting unit 132 is configured to select an optimization target unit region based on a communication quality value obtained for each unit region of the target region after parameter change by the antenna interference optimizing unit 120. In this case, the unit region selection unit 132 selects unit regions representing a communication quality lower than a predetermined communication quality as an optimization target unit region by referring to the communication quality value obtained for each unit region of the target region. It may be configured to prioritize a unit area representing quality.

The related antenna detection unit 134 is configured to detect an antenna related to the communication quality of the selected unit area by using a signal strength for each antenna in the selected unit area, for example, an RSRP value for each antenna. In this case, the related antenna detection unit 134 may be configured to detect an antenna having the largest signal strength in the selected unit area as a serving antenna using the selected unit area as a serving area.

The second parameter adjusting unit 136 may change a parameter related to an electrical tilt, a mechanical tilt, or an azimuth angle of the detected antenna in a direction to improve the communication quality value of the selected unit area, or change the communication quality by the detected antenna. It is configured to change the communication quality average value or the communication quality median value of all or part of the affected unit areas in a direction to improve.

In one embodiment, when a plurality of antennas are detected by the related antenna detection unit 134, the second parameter adjusting unit 136 includes the selected unit for antennas other than the serving antenna among the plurality of detected antennas. It may be configured to change a parameter of a corresponding antenna in a direction to reduce signal strength in the region. In addition, the second parameter adjusting unit 136 may be configured to change a parameter related to an electrical tilt of the detected antenna before changing a parameter related to a mechanical tilt or an azimuth angle.

3 is a flowchart illustrating an antenna interference optimization process of a method for optimizing a wireless network according to an embodiment of the present invention. Detailed operations of the wireless network optimization system 100 will be described in time series with reference to FIG. 3.

As shown in FIG. 3, the communication quality value acquisition unit 110 of the system 100 divides a target area to perform optimization of a wireless network into a plurality of unit areas to obtain a communication quality value for each unit area. Can be (S300). In this case, the communication quality value acquisition unit 110 collects a measurement value from a measurement terminal measuring communication quality in a target area, or calculates a prediction value through a communication quality prediction model, so that the target area is assigned to the target area for each unit area of the target area. A communication quality value including a reference signal received power (RSRP) and a signal to interference noise ratio (SINR) of each located antenna may be obtained.

Then, the antenna interference optimizer 120 of the system 100 calculates the amount of signal interference in an area other than the serving area of the corresponding antenna for each antenna in the target area by using the obtained communication quality value for each unit area. , By changing a parameter of an antenna having a corresponding signal interference amount greater than a predetermined reference value, interference between antennas in the target area may be optimized.

First, the interference amount calculation unit 122 of the system 100 may calculate a signal interference amount for each antenna in the target area by using the signal strength obtained for each unit area by the communication quality value acquisition unit 110 ( S310). In this case, the interference amount calculation unit 122 calculates the number of unit regions other than the serving region of the corresponding antenna as the signal interference amount of the corresponding antenna, among unit regions in which the signal strength of the antenna is greater than a predetermined reference strength, or the serving The sum of the signal strengths of the corresponding antenna appearing for each unit region, not the region, may be calculated as the amount of signal interference of the corresponding antenna.

4 shows an example of an RSRP value (dBm) for each unit area by a wireless network optimization target area antenna.

As shown in FIG. 4, the system 100 may obtain a signal strength (RSRP value) of antenna A for each bin by subdividing the target area for optimization of a wireless network into a plurality of bins. In this case, each bin may be set to a size of 10m×10m.

In an embodiment, the system 100 may calculate the number of bins other than the serving area of antenna A, among bins in which the signal strength of antenna A is greater than a predetermined reference strength, as the signal interference amount of antenna A. For example, when the reference strength is set to -90dBm, the signal interference amount of antenna A in FIG. 4 is 7 which is the number of bins included in the region D2 other than the serving region D1 of the antenna A.

In another embodiment, the system 100 may calculate the number of bins other than the serving area of antenna A among bins in which the signal strength of antenna A is greater than a predetermined reference intensity as the signal interference amount of antenna A. . For example, when the reference strength is set to -90dBm, the signal interference amount of antenna A in FIG. 4 is -73.63dBm (= -88.3), which is the sum of signal strengths for each bin included in the region D2 other than the serving region D1 of antenna A. dBm-83.3dBm-76.1dBm-88.3dBm-81.3dBm-88.6dBm-86.3dBm).

Referring back to FIG. 3, the target antenna selection unit 124 of the system 100 determines the amount of signal interference calculated by the interference amount calculation unit 122 among antennas located in the target area in relation to the model of the corresponding antenna. An antenna larger than the reference value may be selected as an optimization target antenna (S320). In this case, the target antenna selection unit 124 may calculate an average value of the amount of signal interference for each antenna model, and may determine the calculated average value as the reference value.

In Table 1 below, the amount of signal interference calculated for each antenna is exemplified.

antenna Model Amount of signal interference A M1 30 B M1 20 C M1 15 D M1 10 E M2 35 F M2 15 G M2 13 H M2 9

As shown in Table 1, an antenna having a signal interference amount greater than the reference value may be selected as an optimization target antenna by using the average value of the signal interference amount calculated for each antenna model of the antennas in the target area as a reference value. In Table 1, the reference value of the antenna model M1 is 18.75 (= [30+20+15+10]/4), and the reference value of the antenna model M2 is 18 (= [35+15+13+9]/4). This reference value may be calculated for the same morphology or the antenna model in the same region or all regions. As a result, antennas A, B, and E that are larger than the reference values for each antenna model in Table 1 may be selected as target antennas for optimization.

Then, the first parameter adjustment unit 126 changes the parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or the communication quality by the selected antenna. Change in the direction of improving the average communication quality value or the median communication quality value of the unit areas affected by (S330 to S370).

For example, the first parameter adjustment unit 126 determines a parameter change direction of the selected antenna by checking the signal interference amount of the selected antenna and the unit regions where signal interference occurs (S330), and parameter change candidates according to the determined change direction. By generating a value (S340), it is possible to check whether the signal interference amount of the selected antenna according to the generated change candidate value or communication quality values for each unit region satisfies a predetermined change condition (S350). In this case, the parameter change direction may be determined as a direction for reducing the amount of signal interference of the selected antenna or a direction for improving an average communication quality value or an intermediate communication quality value of unit regions affected by communication quality by the selected antenna.

When the generated change candidate value satisfies the change condition, the first parameter adjustment unit 126 changes the parameter of the selected antenna into a change candidate value (S360), and the change candidate value until the change condition is not satisfied. You can repeat the process of creating and changing conditions and changing parameters.

On the other hand, when the generated change candidate value does not satisfy the change condition, the first parameter adjusting unit 126 may repeat the above processes (S330 to S360) for the next-order antenna selected as the target antenna to be optimized (S370). . That is, when a plurality of antennas are selected by the target antenna selection unit 124 of the system 100, the first parameter adjusting unit 126 selects a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas. It can be configured to change in preference. In addition, the first parameter adjusting unit 126 may be configured to change a parameter related to an electrical tilt of the selected antenna before changing a parameter related to a mechanical tilt or an azimuth angle.

In this case, among the antennas selected as target antennas for optimization, the above-described optimization operations may be performed in the order of a large amount of interference. That is, when performing the optimization operation, based on the received signal strength (RSRP) of each antenna analyzed for each bin, the changed antenna gain value according to the parameter change may be applied to predict the RSRP for each bin when the parameter is changed. The SINR value for each bin can be calculated based on the predicted RSRP. For example, a signal of an antenna having the largest received signal strength in each bin may be a signal of SINR, and signals of the remaining antennas may be used as an interference of SINR to calculate SINR.

On the other hand, when the E-Tilt (Electrical Tilt) is optimized, if the E-Tilt can be down-tilted, the amount of signal interference and the statistics of the unit area affected by the corresponding antenna are compared based on the parameter change condition below, You can perform down-tilt. The range of E-Tilt change may be determined according to the specifications of the base station or antenna manufacturer.

In addition, when performing the optimization for M-Tilt (Mechanical Tilt), down-tilt can be performed by comparing the signal interference amount and statistics of a unit area affected by the corresponding antenna based on the parameter change condition below. The M-Tilt change range may be determined according to a value set by a user.

In addition, when optimizing the azimuth angle, the azimuth angle may be changed by comparing the position of the amount of interference and the position of the amount of interference and statistics of a unit region affected by the corresponding antenna based on the parameter change condition below. The azimuth change range may be determined according to a value set by the user.

The parameter change condition may include the following conditions.

For example, as a condition for comparing the amount of signal interference for changing E-Tilt, M-Tilt, azimuth, etc., when changing, the signal interference amount of the corresponding antenna should be the same or decreased. It may include that the amount of interference of the unit area calculated as the amount of signal interference among the unit areas located farther away is the same or decreases.

In addition, as a statistical comparison condition for each unit area for changing the E-Tilt, M-Tilt, azimuth, etc., when changing, the predicted average SINR (or median SINR) for the unit areas affected by the corresponding antenna is the same. Or to be improved, the SINR in the unit area of a specific percentage among the unit areas affected by the corresponding antenna, or the average SINR in the unit areas of a lower specific ratio will be the same or improved, change In this case, the number of single regions in which SINR and RSRP are less than a certain value among unit regions affected by the corresponding antenna may be the same or less, or may not deteriorate more than a certain ratio (%) compared to the initial state.

The change may be performed until the change condition is not satisfied for the corresponding antenna, or if the signal interference amount becomes smaller than the reference value (the average value of the signal interference amount of the corresponding model), the optimization for the corresponding parameter may be stopped or completed.

Meanwhile, when the optimization operation is performed, the change direction may be determined within the change range of each parameter, thereby additionally limiting the change range.

That is, as a parameter change direction, in the case of E-Tilt and M-Tilt, communication quality can be compared while changing only in the down-tilt direction. Also, the location of signal interference is determined based on the boresite of the corresponding antenna, and if the amount of interference in the bin unit area located farther from the antenna than the boresite location is greater than the interference amount in the unit area located close to the boresite, it is changed to the down-tilt direction While the communication quality can be compared. In the case of E-Tilt, by calculating the E-Boresight position taking into account the E-Tilt angle from the physical boresight, the amount of interference may be calculated based on the corresponding position.

In the case of azimuth, the location of signal interference and the amount of interference are determined based on the current azimuth angle of the antenna. If the amount of interference in the counterclockwise direction is large, the communication quality is compared while changing only in the clockwise direction, and the amount of interference in the clockwise direction is compared. In large cases, the communication quality can be compared while changing only counterclockwise. When determining the location of the interference amount, it can be determined by calculating only the unit area located farther from the antenna than the boresight location of the corresponding antenna.

When performing interference optimization, if a plurality of parameters such as E-Tilt, M-Tilt, and azimuth-related parameters are to be changed, the optimization operation is performed in order or grouped according to the priority of each parameter and simultaneously optimized for each group. This can be done. For example, when E-Tilt, M-Tilt, and azimuth are considered as parameters to be changed, optimization for E-Tilt is performed first, and optimization for M-Tilt and azimuth angle may be performed later.

After completing antenna interference optimization, the system 100 may perform optimization for each unit area. The optimization for each unit region is an optimization method in which parameter changes are performed in a direction to improve the signal quality of the unit region by changing a parameter of an antenna that affects the unit region for a unit region having poor signal quality.

5 is a flowchart illustrating an optimization process for each unit area of a method for optimizing a wireless network according to an embodiment of the present invention. Referring to FIG. 5, detailed operations of the wireless network optimization system 100 will be described in time series.

As shown in FIG. 5, the optimization unit 130 for each unit area of the system 100 calculates a communication quality value obtained for each unit area of the target area after parameter change by the antenna interference optimization unit 120. As a reference, a unit region to be optimized within the target region may be selected, and communication quality of the selected unit region may be optimized by changing a parameter of an antenna related to communication quality of the selected unit region.

First, the unit region selection unit 132 of the system 100, after parameter change by the antenna interference optimization unit 120, the communication quality obtained by the communication quality value acquisition unit 110 for each unit area of the target area. An optimization target unit area is selected based on the value (S500, S510). In this case, the unit region selection unit 132 selects unit regions representing a communication quality lower than a predetermined communication quality as an optimization target unit region by referring to the communication quality value obtained for each unit region of the target region. The unit area representing quality can be prioritized and selected.

Then, the related antenna detection unit 134 of the system 100 detects an antenna related to the communication quality of the selected unit area by using the signal strength for each antenna, for example, the RSRP value for each antenna in the selected unit area. (S520). In this case, the related antenna detection unit 134 may detect an antenna having the largest signal strength in the selected unit area as a serving antenna using the selected unit area as a serving area.

6 illustrates an example of SINR values for each unit area by local antennas to be optimized for a wireless network.

As shown in FIG. 6, the system 100 may obtain a communication quality value (SINR value) for each bin by subdividing a wireless network optimization target area into a plurality of bins.

In addition, the unit region selector 132 of the system 100 may select a bin to be optimized by analyzing signal quality, etc. based on the signal strength obtained for each bin. The method of analyzing signal quality, etc. in each bin is as follows. Based on the received signal strength (RSRP) for each antenna in each bin, the SINR in the corresponding bin is calculated, and then a bin to be optimized is selected. For example, the system 100 may select a bin representing an SINR less than a predetermined value set by a user as an optimization target bin. In FIG. 6, when a region less than 3dB is selected as an optimization target bin, five bins indicated by hatching may be selected as optimization target bins.

In this case, the system 100 may perform optimization one by one for the selected bins to be optimized in order of poor SINR. For example, the system 100 may select a bin with a SINR of -4.5dB as the top priority optimization target bin. Then, the system 100 may select a bin (BIN) of -3.2 dB as the next-order optimization target bin, or optimize the bin of -4.5 dB and rearrange based on the changed SINR to determine the worst bin. It can also be selected as an optimization target bin.

7 shows an example of an RSRP value for each antenna in the unit region to be optimized.

As shown in FIG. 7, the related antenna detection unit 134 of the system 100 may detect a related antenna that affects the communication quality of the selected bin. The related antenna is an antenna whose received signal strength (RSRP) for each antenna predicted and analyzed in a corresponding bin is greater than a certain size, for example, in FIG. 7, an antenna that affects a bin whose SINR is -4.5 dB has a received signal strength (RSRP) of- When limited to an antenna of 100 dBm or more, antennas C, A, and B may be detected as related antennas affecting the corresponding bin. In addition, the system 100 performs the following optimization operations in the order of increasing the received signal strength (RSRP) for corresponding antennas.

Referring back to FIG. 5, the second parameter adjusting unit 136 of the system 100 adjusts parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the detected antenna, and improves the communication quality value of the selected unit area. The direction is changed or the communication quality average value or the communication quality intermediate value of all or part of the unit regions affected by the communication quality by the detected antenna is changed (S530 to S580).

For example, the second parameter adjusting unit 136 determines a parameter change direction of the detected antenna by checking the detected signal strength and signal interference amount of the antenna (S530), and generates a parameter change candidate value according to the determined change direction. In step S540, it is possible to check whether the signal strength of the detected antenna according to the generated change candidate value, the amount of signal interference, or the communication quality of the corresponding unit region satisfies a predetermined change condition (S550). In this case, the parameter change direction is the direction of improving the communication quality value of the selected unit area, or the communication quality average value or the communication quality median value of all or part of the unit areas affected by the communication quality by the detected antenna. It can be determined in the direction of

When the generated change candidate value satisfies the change condition, the second parameter adjusting unit 136 changes the detected antenna parameter to a change candidate value (S560), and changes the candidate value until the change condition is not satisfied. You can repeat the process of creating and changing conditions and changing parameters.

On the other hand, when the generated change candidate value does not satisfy the change condition, the second parameter adjusting unit 136 may repeat the above processes (S530 to S560) for the next-order antenna detected as a related antenna (S570). In this case, when a plurality of antennas are detected by the related antenna detection unit 134, the second parameter adjusting unit 136 determines, among the plurality of detected antennas, except for the serving antenna, in the selected unit area. It is possible to change the parameters of the corresponding antenna in the direction of reducing the signal strength. In addition, the second parameter adjusting unit 136 may change a parameter related to the electric tilt of the detected antenna, and then change a parameter related to a mechanical tilt or an azimuth angle.

In addition, the system 100 may repeat the above-described processes (S520 to S570) for the next-order optimization target unit areas selected in the target area (S580).

In this case, the system 100 may perform a parameter change operation for antennas that affect the communication quality of the selected unit region as follows.

That is, in the case of performing the optimization on the E-Tilt, the system 100 compares the position of the corresponding bin with the statistics of the bin affected by the corresponding antenna based on the parameter change condition described later, and performs the tilt change. . The range of E-Tilt change may be determined according to the specifications of the base station or antenna manufacturer.

In addition, when optimizing the M-Tilt, the system 100 compares the position of the corresponding bin and statistics of the bin affected by the corresponding antenna based on a parameter change condition to be described later, and performs a tilt change. The M-Tilt change range may be determined according to a value set by a user.

In addition, when optimizing the azimuth angle, the system 100 performs azimuth change by comparing the position of the corresponding bin and statistics of the bin affected by the corresponding antenna based on a parameter change condition to be described later. The azimuth change range may be determined according to a value set by the user.

The parameter change condition may include the following conditions.

For example, as a statistical comparison condition for each unit area for changing E-Tilt, M-Tilt, azimuth, etc., when changed, the predicted average SINR or median SINR for bins affected by the antenna should be the same or better. Among the bins affected by the antenna, the SINR of a bin with a specific percentage, or the average SINR of bins with a lower specific ratio, should be the same or better.In case of change, among the bins affected by the antenna, SINR and RSRP should be less than a certain value. The number of bins may be the same or less, or not worse than a certain percentage (%) compared to the initial state.

The system 100 may perform the change until the change condition for the corresponding antenna is not satisfied, or stop or complete the optimization for the corresponding parameter when the signal interference amount becomes smaller than the reference value (the average value of the signal interference amount of the corresponding model). have.

Meanwhile, when performing the optimization operation, the system 100 may determine a change direction within the change range of each parameter and further limit the change range.

The direction of parameter change can be determined as follows. For example, in the case of an antenna with the largest received signal strength in a corresponding bin (for example, a serving antenna with the corresponding bin as a serving area), the system 100 performs the following parameter change to increase the received signal strength for the corresponding bin. do. The corresponding antenna may be one or several antennas having the same Cell ID and PCI. In addition, when the received signal strength is greater than or equal to a predetermined size, parameter change may not be performed. For example, in the case of a bin having a SINR of -4.5dB in FIG. 7, since the antenna C having the largest received signal strength is antenna C, the following parameter change is performed on the antenna C. If the reference value is -70dBm, antenna C is -67.3dBm, so no change is performed.

As a parameter change method, in the case of E-Tilt and M-Tilt, when the distance from the antenna to the corresponding bin is longer than the distance from the antenna to the boresite, the communication quality is compared while changing only in the up-tilt direction. In addition, when the distance from the antenna to the bin is closer than the distance from the antenna to the boresite, the communication quality can be compared while changing only in the down-tilt direction. In the case of E-Tilt, the E-Boresight position considering the E-Tilt angle from the physical boresight may be calculated and compared with the corresponding position to determine the up-tilt/down-tilt.

Also, in the case of azimuth, if the bin is located within a certain angle in the clockwise direction (e.g., 90 degrees or 180 degrees) based on the current Boresight azimuth angle of the corresponding antenna, the communication quality is compared while changing only clockwise, and the counterclockwise constant If it is located within an angle, the communication quality can be compared while changing only counterclockwise.

In the case of an antenna having a predetermined size or more among antennas other than the antenna having the largest received signal strength in the corresponding bin, the system 100 performs parameter change so that the received signal strength decreases with respect to the corresponding bin. For example, in the case of a bin having a SINR of -4.5dB in FIG. 7, when the reference value is -100dBm, a parameter change is performed to decrease the received signal strength for antenna A and antenna B.

That is, in the case of E-Tilt and M-Tilt, when the distance from the antenna to the corresponding bin is farther than the distance from the antenna to the Boresight, the communication quality is compared while changing only in the down-tilt direction. In addition, when the distance from the antenna to the corresponding bin is closer than the distance from the antenna to the boresight, communication quality comparison may be performed while changing only in the up-tilt direction.

In the case of azimuth, if the bin is located within a certain angle in the clockwise direction based on the current boresight azimuth angle of the antenna, the communication quality is compared while changing only counterclockwise, and if it is located within a certain angle in the counterclockwise direction, Communication quality can be compared while changing only to.

8 shows the relative positions between the boresight of the antenna and the unit region to be optimized.

As illustrated in FIG. 8, when the received signal strength of the corresponding antenna is the largest in the optimization target unit region, the boresight of the corresponding antenna is changed to move in the direction of the optimization target unit region. That is, the azimuth angle is clockwise and up-tilt is performed in case of M-tilt. In the case of E-Tilt, down-tilt is performed by comparing it with E-Boresight considering the current value of E-Tilt -3 degrees in Boresight.

When it is desired to change parameters related to E-Tilt, M-Tilt, and azimuth angle when performing unit area optimization, the system 100 can perform the optimization operation simultaneously for each group by sequentially or grouping them according to priority for each parameter. have. For example, when E-Tilt, M-Tilt, and three azimuth angles are considered as parameters to be changed, the system 100 performs optimization for E-Tilt first, and M-Tilt and azimuth angle can be performed later. have.

Meanwhile, the embodiments according to the present invention may be implemented as a computer system and a computer program that drives the computer system. When the embodiments of the present invention are implemented as a computer program, the components of the present invention are program segments that execute a corresponding operation or task through a corresponding computer system. These computer programs or program segments may be stored in various computer-readable recording media. The computer-readable recording medium includes all types of media that record data that can be read by a computer system. For example, the computer-readable recording medium may include ROM, RAM, EEPROM, register, flash memory, CD-ROM, magnetic tape, hard disk, floppy disk, or optical data recording device. In addition, such a recording medium can be distributed and arranged in computer systems connected through various networks to store or execute program codes in a distributed manner.

As described above, according to the present invention, by subdividing an area to be optimized for a wireless network into a plurality of unit areas, and performing optimization by checking communication quality for each subdivided unit area, the accuracy and reliability of wireless network optimization are improved, and optimization. The communication quality of the target area can be leveled overall.

In addition, by optimizing the interference between antennas for the entire wireless network optimization target area and then performing the optimization again for each unit area, the precision and reliability of wireless network optimization can be further improved.

In addition, by determining a parameter change direction of an optimization target antenna in advance in consideration of the communication quality of each unit area and adjusting the corresponding parameter, the wireless network optimization process can be efficiently and quickly reduced and the amount of computation can be reduced.

Furthermore, it goes without saying that the embodiments according to the present invention can solve various technical problems other than those mentioned in the present specification in the related technical field as well as in the relevant technical field.

So far, the present invention has been described with reference to specific examples. However, those skilled in the art will clearly understand that various modified embodiments may be implemented within the technical scope of the present invention. Therefore, the embodiments disclosed above should be considered from an explanatory point of view rather than a limiting point of view. That is, the scope of the true technical idea of the present invention is shown in the claims, and all differences within the scope of equivalents thereto are to be construed as being included in the present invention.

100: wireless network optimization system 110: communication quality value acquisition unit
120: antenna interference optimization unit 122: interference amount calculation unit
124: target antenna selection unit 126: first parameter adjustment unit
130: unit area optimization unit 132: unit area selection unit
134: related antenna detection unit 136: second parameter adjustment unit

Claims (25)

As a wireless network optimization system that optimizes a wireless network by adjusting parameters of base station antennas forming a wireless network,
A communication quality value acquisition unit that obtains a communication quality value for each unit area by dividing a target area to be optimized for a wireless network into a plurality of unit areas;
A signal interference amount in an area other than the serving area of the corresponding antenna is calculated for each antenna of the target area using the communication quality value for each unit area, and the parameter of the antenna having the corresponding signal interference amount greater than a predetermined reference value is changed, and the target area An antenna interference optimizer that optimizes interference between the antennas of the antenna; And
After parameter change by the antenna interference optimizer, the optimization target unit area is selected based on the communication quality value obtained for each unit area of the target area, and the selection is made by changing an antenna parameter related to the communication quality of the selected unit area. A wireless network optimization system including an optimization unit for each unit area that optimizes the communication quality of the unit area. The method of claim 1,
The communication quality value acquisition unit collects a measurement value from a measurement terminal measuring communication quality in the target area or calculates a prediction value through a communication quality prediction model, and each antenna located in the target area for each unit area of the target area A wireless network optimization system, characterized in that configured to obtain a communication quality value including a Reference Signal Received Power (RSRP) and a Signal to Interference Noise Ratio (SINR) of. The method of claim 1,
The antenna interference optimization unit,
An interference amount calculator configured to calculate a signal interference amount for each antenna in the target area by using the signal strength obtained for each unit area by the communication quality value acquisition unit;
A target antenna selection unit for selecting an antenna with a calculated signal interference amount greater than a reference value determined in relation to a model of the corresponding antenna as an optimization target antenna; And
Change the parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or the average communication quality value or communication of the unit areas affected by the communication quality by the selected antenna A wireless network optimization system comprising a first parameter adjusting unit that changes in a direction of improving an intermediate quality value. The method of claim 3,
The interference amount calculator may include the number of unit regions other than the serving region of the corresponding antenna among unit regions in which the signal strength of the antenna is greater than a predetermined reference strength, or the sum of the signal strengths of the corresponding antenna appearing for each unit region other than the serving region Wireless network optimization system, characterized in that configured to calculate the signal interference amount of the corresponding antenna. The method of claim 3,
The target antenna selection unit is configured to calculate an average value of the amount of signal interference for each antenna model, and to determine the calculated average value as the reference value. The method of claim 3,
The first parameter adjusting unit is configured to prioritize and change a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas when a plurality of antennas are selected by the target antenna selection unit. Optimization system. The method of claim 3,
And the first parameter adjusting unit is configured to change a parameter related to an electrical tilt of the selected antenna and then change a parameter related to a mechanical tilt or an azimuth angle. The method of claim 1,
The optimization unit for each unit area,
A unit region selector for selecting an optimization target unit region based on a communication quality value obtained for each unit region of the target region after parameter change by the antenna interference optimizer;
A related antenna detection unit for detecting an antenna related to communication quality of the selected unit area by using the signal strength of each antenna in the selected unit area; And
Change the parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the detected antenna in a direction to improve the communication quality value of the selected unit area, or the average communication quality value of the unit areas affected by the communication quality by the detected antenna Or a second parameter adjusting unit that changes the median communication quality in a direction to improve the wireless network optimization system. The method of claim 8,
The unit region selector selects a unit region representing a communication quality lower than a predetermined communication quality by referring to a communication quality value obtained for each unit region of the target region as an optimization target unit region, and the unit region representing the lowest communication quality Wireless network optimization system, characterized in that configured to prioritize selection. The method of claim 8,
And the related antenna detection unit is configured to detect an antenna having the largest signal strength in the selected unit area with a serving antenna having the selected unit area as a serving area. The method of claim 10,
When a plurality of antennas are detected by the related antenna detection unit, the second parameter adjusting unit corresponds to a direction in which the signal strength in the selected unit region is reduced with respect to an antenna other than the serving antenna among the plurality of detected antennas. A wireless network optimization system configured to change a parameter of an antenna. The method of claim 8,
And the second parameter adjusting unit is configured to change a parameter related to an electrical tilt of the detected antenna and then change a parameter related to a mechanical tilt or an azimuth angle. A wireless network optimization method in which a computer system capable of data communication optimizes a wireless network by adjusting parameters of base station antennas forming a wireless network,
(A) obtaining a communication quality value for each unit area by dividing a target area in which the system is to perform optimization of a wireless network into a plurality of unit areas;
The system calculates a signal interference amount in an area other than the serving area of the corresponding antenna for each antenna in the target area using the communication quality value for each unit area, and changes a parameter of an antenna with a corresponding signal interference amount greater than a predetermined reference value, (B) optimizing interference between antennas in the target area; And
After the step (b), the system selects an optimization target unit area based on a communication quality value obtained for each unit area of the target area, and changes the antenna parameter related to the communication quality of the selected unit area to be selected. (C) optimizing the communication quality of the unit area. The method of claim 13,
In the step (a), the system collects a measurement value from a measurement terminal measuring communication quality in the target area or calculates a prediction value through a communication quality prediction model, and is located in the target area for each unit area of the target area. A wireless network optimization method comprising the step of obtaining a communication quality value including a reference signal received power (RSRP) and a signal to interference noise ratio (SINR) of each antenna. The method of claim 13,
The step (b),
(B1) calculating a signal interference amount for each antenna of the target area by using the signal strength obtained for each unit area of the target area;
(B2) selecting an antenna in which the calculated signal interference amount is greater than the reference value determined in relation to the model of the corresponding antenna as an optimization target antenna; And
Change the parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the selected antenna in a direction to reduce the amount of signal interference of the selected antenna, or the average communication quality value or communication of the unit areas affected by the communication quality by the selected antenna (B3) changing the median quality value in a direction of improving the wireless network optimization method. The method of claim 15,
The step (b1) includes the number of unit regions in which the signal strength of the antenna is greater than the predetermined reference strength, and the number of unit regions other than the serving region of the antenna or the signal strength of the corresponding antenna appearing for each unit region other than the serving region. And calculating the sum of the sum as an amount of signal interference of a corresponding antenna. The method of claim 15,
The step (b2) includes calculating an average value of the amount of signal interference for each antenna model, and determining the calculated average value as the reference value. The method of claim 15,
The step (b3) includes, when a plurality of antennas are selected in step (b2), prioritizing and changing a parameter of an antenna having a higher signal interference amount than other antennas among the selected plurality of antennas. How to optimize your wireless network. The method of claim 15,
The step (b3) includes changing a parameter related to an electrical tilt of the selected antenna, and then changing a parameter related to a mechanical tilt or an azimuth angle. The method of claim 15,
The step (c),
(C1) selecting an optimization target unit area based on a communication quality value obtained for each unit area of the target area after the parameter change in step (b);
(C2) detecting an antenna related to the communication quality of the selected unit area by using the signal strength of each antenna in the selected unit area; And
Change the parameters related to the electrical tilt, mechanical tilt, or azimuth angle of the detected antenna in a direction to improve the communication quality value of the selected unit area, or the average communication quality value of the unit areas affected by the communication quality by the detected antenna Or (c3) changing the median communication quality in a direction to improve the wireless network optimization method. The method of claim 20,
In the step (c1), a unit region representing a communication quality lower than a predetermined communication quality is selected as an optimization target unit region by referring to a communication quality value obtained for each unit region of the target region, and the unit representing the lowest communication quality And prioritizing the area to be selected. The method of claim 20,
The step (c2) includes detecting an antenna having the largest signal strength in the selected unit region with a serving antenna having the selected unit region as a serving region. . The method of claim 22,
In the step (c3), when a plurality of antennas are detected in the step (c2), the signal strength in the selected unit region is reduced with respect to an antenna other than the serving antenna among the plurality of detected antennas. And changing a parameter of an antenna. The method of claim 20,
The step (c3) includes changing a parameter related to an electrical tilt of the detected antenna, and then changing a parameter related to a mechanical tilt or an azimuth angle. A computer program recorded on a computer-readable recording medium as a computer program for executing the method according to any one of claims 13 to 24 through a computer.

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