Wireless communication system, wireless communication method, wireless communication device, and wireless communication program

Abstract

The present disclosure relates to a wireless communication system, a wireless communication method, a wireless communication device, and a wireless communication program. This wireless communication system is configured to execute: a process for acquiring the wireless communication quality of a pre-acquisition point group, which is a part of a measurement point group that can be set in a target area; a process for detecting a change point by extracting, as the change point, a pre-acquisition point that represents a change such that the wireless communication quality exceeds a determination criterion, said change being from among changes along geographical directionality; a process for setting a data measurement point on the basis of the detected change point; a process for acquiring measurement data by measuring the wireless communication quality at the data measurement point; a process for performing interpolation for at least some measurement points excluding the data measurement point, on the basis of the measurement data; and a process for outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

Description

Wireless communication system, wireless communication method, wireless communication device, and wireless communication program

[0001] The present disclosure relates to a wireless communication system, a wireless communication method, a wireless communication device, and a wireless communication program.

[0002] In recent years, the introduction of wireless communication systems using new communication standards represented by 5G or local 5G has been progressing. In order to provide these wireless communication systems with high quality, it is important to optimize the installation positions of wireless base stations in the wireless communication system.

[0003] As a method for the above optimization, a method of performing a preliminary survey of wireless communication quality in the area to be wirelessly communicated and utilizing the survey results is known. For example, Non-Patent Document 1 discloses a method of performing a preliminary survey in a target area by performing automatic measurement with an autonomous vehicle equipped with a wireless device.

[0004] Makino, Terai, Miki. "Indoor Local 5G Characteristic Evaluation Using an Automated Guided Vehicle". IEICE Technical Report, November 2021, vol.121, no.234, pp.34-39.

[0005] However, in the preliminary survey in the target area, more dense preliminary measurements may be required. In this case, there is a problem that the measurement time and measurement cost increase due to the expansion and densification of the measurement point group in the target area.

[0006] In order to solve the above problems, the first object of the present disclosure is to provide a wireless communication system capable of reducing the measurement time and measurement cost by performing interpolation based on the acquired measurement data.

[0007] Another object of the present disclosure is to provide a wireless communication method capable of reducing the measurement time and measurement cost by performing interpolation based on the acquired measurement data.

[0008] Another object of the present disclosure is to provide a wireless communication device capable of reducing the measurement time and measurement cost by performing interpolation based on the acquired measurement data.

[0009] Furthermore, a fourth objective of this disclosure is to provide a wireless communication program that can reduce measurement time and measurement costs by performing interpolation based on acquired measurement data.

[0010] A first aspect of this disclosure is preferably a wireless communication system configured to perform the following: a process of acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; a process of detecting change points by extracting pre-acquired points in which the wireless communication quality shows a change exceeding a judgment criterion in a change along a geographical direction as change points; a process of setting data measurement points based on the detected change points; a process of acquiring measurement data by measuring the wireless communication quality at the data measurement points; a process of interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and a process of outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

[0011] Furthermore, a second aspect of this disclosure is preferably a wireless communication method comprising: acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; detecting change points by extracting pre-acquired points that show a change in wireless communication quality that exceeds a judgment criterion in the context of changes in the wireless communication quality along a geographical direction as change points; setting data measurement points based on the detected change points; acquiring measurement data by measuring the wireless communication quality at the data measurement points; interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

[0012] Furthermore, a third aspect of this disclosure is preferably a wireless communication device configured to perform the following: a process of acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; a process of detecting change points by extracting pre-acquired points that show a change in wireless communication quality that exceeds a judgment criterion in the context of changes in the wireless communication quality along a geographical direction as change points; a process of setting data measurement points based on the detected change points; a process of acquiring measurement data by measuring the wireless communication quality at the data measurement points; a process of interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and a process of outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

[0013] Furthermore, a fourth aspect of this disclosure is a wireless communication program to be implemented by a wireless communication device having a processor and memory, which is stored in memory and computer-readable, and preferably includes a program to cause the processor to perform the following: a process of acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; a process of detecting change points by extracting pre-acquired points that show a change in wireless communication quality that exceeds a judgment criterion in a change along a geographical direction as change points; a process of setting data measurement points based on the detected change points; a process of acquiring measurement data by measuring the wireless communication quality of the data measurement points; a process of interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and a process of outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

[0014] According to the first to fourth aspects of this disclosure, measurement time and measurement costs can be reduced by performing interpolation based on acquired measurement data.

[0015] This figure shows the visualization of wireless communication quality according to Embodiment 1 of this disclosure. This figure shows an example of the configuration of a wireless communication device according to Embodiment 1 of this disclosure. This figure shows an example of the hardware configuration of a wireless communication device according to Embodiment 1 of this disclosure. This flowchart shows the processing performed by the wireless communication device according to Embodiment 1 of this disclosure. This figure shows the configuration of a wireless communication device according to a comparative example. This flowchart shows the processing performed by a wireless communication device. This figure shows an example of the configuration of a wireless communication device according to Embodiment 2 of this disclosure. This flowchart shows the processing performed by the wireless communication device according to Embodiment 2 of this disclosure. This figure shows a polar coordinate system. This flowchart shows the processing performed by the wireless communication device according to Embodiment 3 of this disclosure. This flowchart shows the processing performed by the wireless communication device according to Embodiment 4 of this disclosure. This flowchart shows the processing performed by the wireless communication device according to Embodiment 5 of this disclosure. This flowchart shows the processing performed by the wireless communication device according to Embodiment 6 of this disclosure.

[0016] Each embodiment will be described with reference to the drawings. The same or corresponding components will be denoted by the same reference numerals, and repetition of the description may be omitted.

[0017] Embodiment 1 Figure 1 is a diagram showing the visualization of wireless communication quality according to Embodiment 1 of the present disclosure. The diagram in Figure 1 shows an example of the configuration of a wireless communication system according to Embodiment 1 of the present disclosure.

[0018] The wireless communication system 1000 includes a wireless base station 50. The wireless base station 50 communicates wirelessly with a receiver installed in the target area 200.

[0019] The wireless communication system 1000 also includes a wireless communication device 100. The wireless communication device 100 is a measuring vehicle having a receiver (not shown). The wireless communication device 100 measures the wireless communication quality of the target area 200 by automatically driving within the target area 200 while communicating wirelessly with the wireless base station 50.

[0020] Although the wireless communication device 100 is shown here as a measurement vehicle, it is not limited to this. For example, the wireless communication device 100 can be a drone or a measuring instrument that can be carried by a measurer, or any other device capable of measuring the wireless communication quality at a specific measurement point.

[0021] The lower part of Figure 1 shows a wireless communication quality map that visualizes the wireless communication quality of the target area 200. This disclosure outputs a wireless communication quality map such as the one shown in the lower part of Figure 1.

[0022] Figure 2 shows an example of the configuration of a wireless communication device according to Embodiment 1 of this disclosure. It is assumed that the settings for various devices have been configured in advance.

[0023] The wireless communication device 100 includes a measuring device 10. The measuring device 10 first acquires pre-acquired data 2 and inputs it to the measurement point analysis device 20.

[0024] Pre-acquired data 2 is data indicating the wireless communication quality of the pre-acquired point cloud. The pre-acquired point cloud is a set of pre-acquired points and is part of the measurement point cloud that can be set in the target area 200. The pre-acquired point cloud is a measurement point cloud extracted by thinning out the measurement point cloud that can be set in the target area 200 at specific intervals.

[0025] The pre-acquired data 2 also includes location information of the wireless base station 50, location information of each pre-acquired point, and data on the wireless communication quality at the corresponding pre-acquired point. The location information may be two-dimensional or three-dimensional coordinates. The wireless communication quality data may include, for example, received power, throughput, delay profile, or fading data.

[0026] The pre-acquired data 2 may be actual measurement data measured by the measuring device 10, or data acquired through simulation.

[0027] The measurement point setting unit 22 of the measurement point analysis device 20 detects change points based on the input pre-acquired data 2. A change point is a pre-acquired point in which the characteristic value of wireless communication quality shows a peak or trough within a change along a geographical direction. The characteristic value of wireless communication quality is, for example, the magnitude of the received power.

[0028] A change point is, for example, a pre-acquired data point in pre-acquired data 2 that shows a change in wireless communication quality that exceeds a predetermined judgment criterion. The judgment criterion is, for example, the magnitude of the received power that can change due to measurement errors, etc. That is, a change point is, for example, a pre-acquired data point that shows a change that exceeds the measurement error with respect to the estimated value of the received power, which is estimated to decrease in proportion to the distance to the wireless base station 50.

[0029] The measurement point setting unit 22 outputs a data measurement point group 4, set based on the detected change points, to the measurement device 10. The data measurement point group 4 is a collection of data measurement points. The data measurement point group 4 may be, for example, a measurement point group in which only change points are extracted from pre-acquired points, or a measurement point group that combines change points and pre-acquired points that are included in a specific range centered on the change points. The specific range may be a range with a radius of 1 m or less.

[0030] The measuring device 10 acquires measurement data 6 by measuring the wireless communication quality of the input data measurement point cloud 4. The measuring device 10 inputs the acquired measurement data 6 to the data interpolation unit 24.

[0031] The data interpolation unit 24 performs interpolation based on the input measurement data 6. Interpolation is performed on at least a portion of the measurement point clouds, excluding the data measurement point cloud 4, in the measurement point clouds that can be set in the target area 200. Interpolation is performed, for example, by piecewise linear interpolation or spline interpolation. Furthermore, the data interpolation unit 24 outputs a wireless communication quality map of the entire target area 200 by integrating the measurement data 6 with the interpolated data.

[0032] Figure 3 shows an example of the hardware configuration of a wireless communication device according to Embodiment 1 of the present disclosure. Each function of the wireless communication device 100 may be partially or entirely configured by hardware such as a PLD (Programmable Logic Device) or FPGA (Field Programmable Gate Array), or it may be configured as a program executed by a processor such as a CPU.

[0033] For example, the wireless communication device 100 can be implemented using a computer and a program, and the program can be recorded on a storage medium or provided via a network.

[0034] As shown in Figure 3, the wireless communication device 100 has an input unit 108, an output unit 101, a communication unit 102, a CPU 103, a memory 104, and an HDD 105 connected via a bus 106, and functions as a computer. The wireless communication device 100 is also capable of inputting and outputting data to and from a computer-readable storage medium 107.

[0035] The input unit 108 is, for example, a keyboard and mouse. The output unit 101 is, for example, a display device such as a display.

[0036] The communication unit 102 is, for example, a communication interface that communicates with a wireless device to be controlled.

[0037] The CPU 103 controls each component of the wireless communication device 100 and performs predetermined processing. The memory 104 and HDD 105 store data and the like.

[0038] The storage medium 107 is capable of storing programs and the like that cause the wireless communication device 100 to perform its functions. Note that the architecture of the wireless communication device 100 is not limited to the example shown in Figure 3.

[0039] Figure 4 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 1 of this disclosure. First, in step 100, the measuring device 10 performs pre-acquisition. Pre-acquisition is performed by acquiring the wireless communication quality of the pre-acquisition point cloud.

[0040] Next, in step 102, the measurement point analysis device 20 detects change points. The measurement point setting unit 22 detects change points based on the pre-acquired data 2 obtained in step 100. For example, the measurement point setting unit 22 detects change points by extracting pre-acquired points in the pre-acquired data 2 that show a change in wireless communication quality that exceeds the judgment criterion.

[0041] Next, in step 104, the measuring device 10 measures the target area 200. The measurement of the target area 200 is performed by the measuring device 10 measuring the wireless communication quality for the data measurement point group 4 set based on the change point detected in step 102.

[0042] Next, in step 106, the measurement point analysis device 20 performs interpolation. The interpolation is performed by the data interpolation unit 24 based on the measurement data 6 acquired in step 104. For example, the data interpolation unit 24 performs interpolation for at least a part of the measurement point group excluding the data measurement point group 4 in the measurement point group that can be set in the target area 200 based on the measurement data 6. Further, the data interpolation unit 24 outputs a wireless communication quality map for the entire target area 200 by integrating the measurement data 6 and the interpolated data.

[0043] Referring to the comparative example, the effects obtained by the wireless communication device according to the present embodiment will be described. FIG. 5 is a diagram showing the configuration of the wireless communication device according to the comparative example. The wireless communication device 100 includes a measuring device 10. The measuring device 10 outputs a wireless communication quality map for the entire target area by measuring the wireless communication quality. The measuring device 10 is, for example, a measuring vehicle having a receiver (not shown).

[0044] FIG. 6 is a flowchart showing the process performed by the wireless communication device. First, in step 200, the measuring device 10 acquires information on the target area. Next, in step 202, the measuring device 10 sets a data measurement point group based on the target area information.

[0045] Next, in step 204, the measuring device 10 calculates a measurement route based on the set data measurement point group. This measurement route is calculated, for example, so that the measurement time is the shortest.

[0046] Next, in step 206, the measuring device 10 measures the target area. This measurement is performed by the measuring device 10 measuring the wireless communication quality of the set data measurement point group along the calculated measurement route.

[0047] Next, in step 208, the measurement device 10 checks whether the measurement has been completed for all of the data measurement point groups. If it has been completed, the process ends and a wireless communication quality map of the entire target area based on the measurement results is output. If it has not been completed, the process returns to step 204.

[0048] The effects obtained by the wireless communication device according to the present embodiment will be described. In recent years, the introduction of wireless communication systems using new communication standards represented by 5G or local 5G has been progressing. In order to provide these wireless communication systems with high quality, it is important to optimize the installation positions of wireless base stations in the wireless communication system.

[0049] As the above-described optimization method, a method of performing a preliminary investigation of the wireless communication quality in the area targeted for wireless communication and utilizing the investigation results is known. In this method, in order to perform a preliminary investigation of the wireless communication quality, it was common for a measurer holding a wireless device to measure the wireless communication quality while moving within the target area.

[0050] However, the above-described method has problems in that it takes a large amount of working time for the measurer. In order to solve this problem, Non-Patent Document 1 discloses a method for improving the efficiency when measuring the wireless communication quality within the target area. In this method, the measurement efficiency is improved by mounting a wireless device on an autonomous vehicle such as an AGV and performing automatic measurement.

[0051] However, in recent years, the diversification of use cases of wireless terminals has been progressing. Along with this, the application range of wireless communication and the use of high-frequency band radio waves have been expanded, and the number of wireless terminals installed in the target area has been increasing.

[0052] As a result, in the preliminary investigation in the target area, a higher-density preliminary measurement is required. That is, an expansion and a higher density of the measurement point group in the target area are required. Therefore, when outputting a wireless communication quality map using the wireless communication device according to the comparative example, there is a problem that the measurement time and the measurement cost increase.

[0053] In this embodiment, measurements are performed centered on change points detected based on pre-acquired data 2, and interpolation is performed based on the acquired measurement data 6. In other words, since only the measurement point group requiring detailed measurement is measured intensively, measurement time and measurement costs can be reduced.

[0054] Furthermore, in this embodiment, interpolation is performed on at least a portion of the measurement point clouds that can be set in the target area 200, excluding the data measurement point cloud 4. In other words, interpolation can be maintained by performing interpolation only on the measurement point clouds for which detailed measurement is not required.

[0055] Embodiment 2 Figure 7 shows an example of the configuration of a wireless communication device according to Embodiment 2 of the present disclosure. The wireless communication device 100a according to this embodiment differs from the wireless communication device 100 in that the measurement point analysis device 20a has a coordinate transformation unit 26.

[0056] The measuring device 10 first acquires pre-acquired data 2 and inputs it to the measurement point analysis device 20a. The coordinate transformation unit 26 of the measurement point analysis device 20a converts the position information of each pre-acquired point included in the input pre-acquired data 2 into a polar coordinate system. This polar coordinate system is a polar coordinate system expressed in terms of distance and angle from the wireless base station 50.

[0057] The coordinate transformation unit 26 outputs the pre-acquired data 2, which is obtained by converting the position information of each pre-acquired point into polar coordinates, to the measurement point setting unit 22.

[0058] Figure 8 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 2 of this disclosure.

[0059] In step 108, the measurement point analysis device 20 applies a polar coordinate system. The application of the polar coordinate system is performed by the coordinate transformation unit 26 converting the positional information of each pre-acquired point included in the input pre-acquired data 2 into a polar coordinate system.

[0060] Figure 9 shows a polar coordinate system. In this embodiment, a polar coordinate system expressed in terms of distance and angle from the wireless base station 50 is used. More specifically, a polar coordinate system expressed in terms of the straight-line distance from the wireless base station 50 and the declination angle from the wireless base station 50 is used.

[0061] The effects of using a polar coordinate system are explained. The wireless communication quality measured at the set of measurement points is almost entirely based on the theory of radio wave propagation loss. That is, the wireless communication quality deteriorates as the straight-line distance from the wireless base station 50 increases. Thus, interpolation is easy for wireless communication quality that follows the theory of radio wave propagation loss.

[0062] On the other hand, interpolation is difficult for wireless communication quality that does not conform to the theory of radio wave propagation loss. Therefore, in this embodiment, first, a value related to wireless communication quality is calculated for the relevant pre-acquired point, assuming that it conforms to the theory of radio wave propagation loss. Subsequently, a judgment criterion is set by calculating the range of values ​​that may change due to measurement errors, etc., for the calculated value. Furthermore, in the pre-acquired data 2, pre-acquired points that show a change in wireless communication quality that exceeds the judgment criterion are detected as change points. As a result, change points that are difficult to interpolate can be detected more accurately.

[0063] Furthermore, it is thought that the aforementioned change points avoid a monotonous degradation of wireless communication quality, for example, due to the influence of reflected waves.

[0064] Furthermore, the effects of direct waves will be explained. Whether or not direct waves arrive directly affects the quality of wireless communication. The boundary between whether or not direct waves arrive basically occurs on a straight line from the wireless base station 50. Therefore, by using a polar coordinate system that expresses position information as the straight-line distance from the wireless base station 50 and the angle of deviation from the wireless base station 50, the boundary between whether or not direct waves arrive can be detected more accurately as a change point.

[0065] Furthermore, the boundary between whether or not a direct wave arrives, as described above, is thought to be caused by factors such as the influence of obstacles.

[0066] As described above, in this embodiment using a polar coordinate system, change points are detected based on the straight-line distance from the wireless base station 50. As a result, the data measurement point cloud 4, which requires detailed measurement, can be detected more accurately, thus reducing measurement time and cost more efficiently.

[0067] Embodiment 3 Figure 10 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 3 of this disclosure. This embodiment differs from Embodiment 2 in that it detects extreme points using distance as the determination criterion for change points.

[0068] In step 102a, the measurement point analysis device 20 detects extreme points based on distance as the criterion. The detection of change points is performed by the measurement point setting unit 22 based on the pre-acquired data 2 that was converted to polar coordinates in step 108. For example, the measurement point setting unit 22 detects extreme points by extracting pre-acquired points in the pre-acquired data 2 where the value related to wireless communication quality takes an extreme value based on the distance from the wireless base station 50 as the criterion.

[0069] In step 104a, the measuring device 10 performs measurements of the target area 200. The measurement of the target area 200 is performed by the measuring device 10 measuring the wireless communication quality for the data measurement point group 4a, which is set based on the extreme value points detected in step 102a.

[0070] In step 106a, the measurement point analysis device 20 performs interpolation. The interpolation is performed by the data interpolation unit 24 based on the measurement data 6 acquired in step 104a. For example, the data interpolation unit 24 performs interpolation based on the measurement data 6 according to the distance from the wireless base station 50. Furthermore, the data interpolation unit 24 integrates the measurement data 6 with the interpolated data to output a wireless communication quality map of the entire target area 200.

[0071] As described above, in this embodiment, which uses extreme value points based on distance as the criterion, the data measurement point group 4 can be limited to pre-acquired points that have a large relationship with the straight-line distance from the wireless base station 50 and exhibit changes in wireless communication quality. As a result, measurement time and measurement costs can be reduced more efficiently while maintaining the accuracy of interpolation according to the distance from the wireless base station 50.

[0072] Embodiment 4 Figure 11 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 4 of this disclosure. This embodiment differs from Embodiment 3 in that it detects extreme points using angle as the determination criterion for change points.

[0073] In step 102b, the measurement point analysis device 20 detects extreme points based on angle as the criterion. The detection of change points is performed by the measurement point setting unit 22 based on the pre-acquired data 2 that was converted to polar coordinates in step 108. For example, the measurement point setting unit 22 detects extreme points by extracting pre-acquired points in the pre-acquired data 2 where the value related to wireless communication quality takes an extreme value based on the angle from the wireless base station 50 as the criterion.

[0074] In step 104b, the measuring device 10 performs measurements of the target area 200. The measurement of the target area 200 is performed by the measuring device 10 measuring the wireless communication quality for the data measurement point group 4b, which is set based on the extreme value points detected in step 102a.

[0075] In step 106b, the measurement point analysis device 20 performs interpolation. The interpolation is performed by the data interpolation unit 24 based on the measurement data 6 acquired in step 104b. For example, the data interpolation unit 24 performs interpolation based on the measurement data 6 according to the angle from the wireless base station 50. Furthermore, the data interpolation unit 24 integrates the measurement data 6 and the interpolated data to output a wireless communication quality map of the entire target area 200.

[0076] As described above, in this embodiment, which uses extreme value points based on angle as the criterion, the data measurement point group 4 can be limited to pre-acquired points that take into account the angle with the wireless base station 50, which is highly related to whether the line of sight is inside or outside due to obstacles. As a result, measurement time and measurement costs can be reduced more efficiently while maintaining the interpolation accuracy for changes in wireless communication quality due to obstacles.

[0077] Embodiment 5 Figure 12 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 5 of the present disclosure. This embodiment differs from Embodiments 3 and 4 in that it alternately detects extreme points based on distance as the determination criterion and extreme points based on angle as the determination criterion.

[0078] In step 102a, the measurement point analysis device 20 detects extreme points based on distance as the criterion. In step 102b, the measurement point analysis device 20 detects extreme points based on angle as the criterion.

[0079] In step 110, the measurement point analyzer 20 checks whether the number of data measurement point groups 4c for measuring wireless communication quality is smaller than the expected number of measurement point groups. The number of data measurement point groups 4c is, for example, the sum of data measurement point group 4a output based on the extreme value points detected in step 102a and data measurement point group 4b output based on the extreme value points detected in step 102b. If it is smaller than the expected number of measurement point groups, the process proceeds to step 104c. If it is greater than or equal to the expected number of measurement point groups, the process returns to step 102a to further narrow down the measurement point groups.

[0080] In step 104c, the measuring device 10 performs measurements of the target area 200. The measurement of the target area 200 is performed by the measuring device 10 measuring the wireless communication quality of the data measurement point cloud 4c calculated in step 110.

[0081] In step 106c, the measurement point analysis device 20 performs interpolation. The data interpolation unit 24 performs the interpolation based on the measurement data 6 acquired in step 104c. For example, the data interpolation unit 24 performs interpolation based on the measurement data 6 according to the distance or angle from the wireless base station 50. Furthermore, the data interpolation unit 24 integrates the measurement data 6 with the interpolated data to output a wireless communication quality map of the entire target area 200.

[0082] As described above, in this embodiment, which alternately uses extreme points determined by distance and extreme points determined by angle, the data measurement point group 4c can be limited to a number smaller than any arbitrary number. As a result, measurement time and measurement costs can be reduced more efficiently.

[0083] Embodiment 6 Figure 13 is a flowchart showing the processing performed by the wireless communication device according to Embodiment 6 of this disclosure. This embodiment differs from Embodiment 5 in that it further limits the measurement point group based on the detected extreme point.

[0084] In step 102a, the measurement point analysis device 20 detects extreme points based on distance as the criterion. In step 102b, the measurement point analysis device 20 detects extreme points based on angle as the criterion.

[0085] In step 112, the measurement point analysis device 20 further narrows down the group of measurement points for measuring wireless communication quality. For example, the measurement point setting unit 22 first clusters the extreme points detected in steps 102a and 102b into groups of the expected number of measurement points. Clustering is performed, for example, using the k-means method. Furthermore, the measurement point setting unit 22 acquires the centroid of each cluster as a measurement point. The set of measurement points acquired here is called the data measurement point group 4d.

[0086] In step 104d, the measuring device 10 performs measurements of the target area 200. The measurement of the target area 200 is performed by the measuring device 10 measuring the wireless communication quality of the data measurement point cloud 4d calculated in step 112.

[0087] In step 106d, the measurement point analysis device 20 performs interpolation. The interpolation is performed by the data interpolation unit 24 based on the measurement data 6 acquired in step 104d. For example, the data interpolation unit 24 performs interpolation based on the measurement data 6 according to the distance or angle from the wireless base station 50. Furthermore, the data interpolation unit 24 integrates the measurement data 6 with the interpolated data to output a wireless communication quality map of the entire target area 200.

[0088] As described above, in this embodiment, which limits the measurement points using clustering, the data measurement point group 4d can be limited to a number smaller than any arbitrary number. As a result, measurement time and measurement costs can be reduced more efficiently.

[0089] 6 Measurement data 100 Wireless communication device 100a Wireless communication device 104 Memory 200 Target area 1000 Wireless communication system

Claims

1. A wireless communication system configured to perform the following steps: acquire the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; detect change points by extracting pre-acquired points where the wireless communication quality shows a change exceeding a judgment criterion in a change along a geographical direction; set data measurement points based on the detected change points; acquire measurement data by measuring the wireless communication quality at the data measurement points; interpolate at least a portion of the measurement points excluding the data measurement points based on the measurement data; and output a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

2. A wireless communication method comprising: acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in a target area; detecting change points by extracting pre-acquired points in which the wireless communication quality shows a change exceeding a judgment criterion in a change along a geographical direction as change points; setting data measurement points based on the detected change points; acquiring measurement data by measuring the wireless communication quality at the data measurement points; interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

3. A wireless communication device configured to perform the following steps: acquiring the wireless communication quality of a pre-acquired point cloud, which is part of a measurement point cloud that can be set in the target area; detecting change points by extracting pre-acquired points in which the wireless communication quality shows a change exceeding a judgment criterion in a change along a geographical direction; setting data measurement points based on the detected change points; acquiring measurement data by measuring the wireless communication quality at the data measurement points; interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

4. A wireless communication program to be implemented by a wireless communication device having a processor and memory, the program being stored in the memory and computer-readable, and including a program to cause the processor to perform the following: a process of acquiring the wireless communication quality of a pre-acquired point cloud which is part of a measurement point cloud that can be set in a target area; a process of detecting change points by extracting pre-acquired points in which the wireless communication quality shows a change that exceeds a judgment criterion in a change along a geographical direction as change points; a process of setting data measurement points based on the detected change points; a process of acquiring measurement data by measuring the wireless communication quality of the data measurement points; a process of interpolating at least a portion of the measurement points excluding the data measurement points based on the measurement data; and a process of outputting a wireless communication quality map of the entire target area by integrating the measurement data and the interpolated data.

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