Radio wave environment calculation model generation method, radio wave environment calculation method, and radio wave environment calculation model generation system

Abstract

To enable the behavior of electromagnetic waves for wireless communication in a real space to be accurately reflected in a calculation model.SOLUTION: In a radio wave environment calculation model generating method, when constructing a structural model of an electromagnetic wave scatterer that simulates a wireless communication environment within computing resources by using an information processing device that is equipped with a processing device, an output device, an input device, and a storage device and is capable of providing computing resources, the information processing device estimates a position of the electromagnetic wave scatterer on the basis of data obtained by radio waves of a first frequency, and estimates an effect of the electromagnetic wave scatterer on electromagnetic waves on the basis of data obtained by radio waves of a second frequency.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a system for generating an electromagnetic field calculation model for evaluating the performance of a wireless communication system using computer resources, and a system for predicting the communication performance of the system using the calculation model. In particular, the present invention relates to a wireless communication characteristics evaluation system that predicts the wireless communication state within a service area using computer resources, reflecting the state of the actual environment in which the wireless system operates, using electromagnetic field measurements within the service area and measurement data of the position of a structure surface. [Background technology]

[0002] The increasing speed and integration of semiconductor chips has made it possible to perform large-scale, high-speed electromagnetic field calculations using computer resources. A technology called digital twin has emerged, which models structures in real space that affect electromagnetic waves within computer resources and uses these models to reproduce wireless communication characteristics in real space within a computer, and research and development is currently underway.

[0003] To date, a technology has been adopted to recreate structures that affect electromagnetic fields in cyberspace using computer resources, by creating a three-dimensional structure in cyberspace using the structure's dimensional data and electrical characteristic data. However, there has been a problem in that it is difficult to identify the location where the structure will be installed.

[0004] To solve this problem, Japanese Patent Laid-Open Publication No. 2005-72654 describes a technology that uses light waves with a frequency three to four orders of magnitude higher than the radio waves used in wireless communication to measure the direction and distance to a point on the surface of an object from a measurement point and store the measured point data.The technology uses this method to perform similar measurements in multiple directions from multiple measurement points, and then represents a structure in cyberspace as a point cloud, which is a collection of the point data obtained in this way.

[0005] WO2015 / 029179 describes a technology in which electromagnetic waves for wireless communication are transmitted to multiple positions on a structure that constitutes a computational model of the structure obtained from a point cloud obtained using a method similar to that described above, and the electrical characteristics to be imparted to the structure of the computational model are determined from the intensities of the obtained reflected waves and the original transmitted waves.

[0006] On the other hand, Japanese Patent Application Laid-Open No. 2015-80061 describes a technology that acquires images of the surrounding scenery at multiple points within a wireless communication service area and uses this image data to reproduce structures within the service area in cyberspace through image processing. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-72654 [Patent Document 2] WO2015 / 029179 publication [Patent Document 3] Japanese Patent Application Laid-Open No. 2015-80061 Summary of the Invention [Problem to be solved by the invention]

[0008] In these prior art technologies, the computational model in cyberspace does not take into account the effect of structures within the service area on the electromagnetic waves used for wireless communication, which results in a discrepancy between the wireless communication characteristics predicted in cyberspace and those measured in real space.

[0009] The behavior of electromagnetic waves entering a structure changes depending on the dimensions and surface shape of the structure, which are determined on the order of the wavelength of the electromagnetic waves. Therefore, in conventional technology that uses data measured by light waves with frequencies three to four orders of magnitude different from the electromagnetic waves used for wireless communications, particularly in the scattering processes of electromagnetic waves such as reflection, transmission, and diffraction, the behavior of electromagnetic waves for wireless communications in cyberspace and real space is significantly different. This makes it extremely difficult to predict wireless communication characteristics in non-line-of-sight communication environments where communication using direct waves is difficult.

[0010] An object of the present invention is to enable the behavior of electromagnetic waves for wireless communication in real space to be reflected in a calculation model with high accuracy. [Means for solving the problem]

[0011] A preferred aspect of the present invention is a radio wave environment calculation model generation method, which uses an information processing device that is equipped with a processing device, an output device, an input device, and a storage device and is capable of providing computer resources, and constructs a structural model of an electromagnetic wave scatterer that simulates a wireless communication environment within the computer resources, wherein the information processing device estimates the position of the electromagnetic wave scatterer based on data obtained by radio waves of a first frequency, and estimates the effect of the electromagnetic wave scatterer on electromagnetic waves based on data obtained by radio waves of a second frequency.

[0012] Another preferred aspect of the present invention is a radio wave environment calculation method, which uses an information processing device that has a processing device, an output device, an input device, and a storage device and is capable of providing computing resources, and the information processing device calculates the characteristics of an electromagnetic field using the structural model and a ray that simulates radio waves of the second frequency traveling in real space.

[0013] Another preferred aspect of the present invention is a radio wave environment calculation model generation system having a processing device, an output device, an input device, and a storage device, and constructing a structural model of an electromagnetic wave scatterer that simulates a wireless communication environment within computer resources, wherein the storage device stores position data of the electromagnetic wave scatterer based on data obtained by radio waves of a first frequency acquired from the input device, and the storage device stores reflection characteristic data of the electromagnetic wave scatterer against electromagnetic waves based on data obtained by radio waves of a second frequency acquired from the input device, and the system is equipped with a model generation device that constructs the structural model using a set of the position data and the reflection characteristic data. [Effects of the Invention]

[0014] The behavior of electromagnetic waves for wireless communication in real space can be accurately reflected in the calculation model. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a first embodiment. [Figure 2] 1 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a first embodiment. [Figure 3] 10A and 10B are conceptual diagrams illustrating a phenomenon occurring near a reflection point in an embodiment. [Figure 4] FIG. 10 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a second embodiment. [Figure 5] FIG. 11 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a third embodiment. [Figure 6] FIG. 10 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a fifth embodiment. [Figure 7] FIG. 13 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a sixth embodiment. [Figure 8] FIG. 13 is a transparent perspective view illustrating a radio wave environment calculation model generation system according to a seventh embodiment. [Figure 9] FIG. 13 is a block diagram of a measurement radio device of the radio wave environment calculation model generation system according to the eighth embodiment. [Figure 10] FIG. 13 is a block diagram of a measurement radio device of a radio wave environment calculation model generation system according to a ninth embodiment. [Figure 11] FIG. 23 is a block diagram of a measurement radio device of the radio wave environment calculation model generation system of the tenth embodiment. [Figure 12] FIG. 23 is a block diagram of a measurement radio device of the radio wave environment calculation model generation system of the eleventh embodiment. [Figure 13] FIG. 23 is a block diagram of a measurement radio device of the radio wave environment calculation model generation system of the twelfth embodiment. [Figure 14] 23 is a flowchart illustrating the operation of the radio wave environment calculation model generation system according to the thirteenth embodiment. [Figure 15] 23 is a flowchart illustrating the operation of the radio wave environment calculation model generation system according to the fourteenth embodiment. [Figure 16] 20 is a flowchart illustrating the operation of the radio wave environment calculation model generation system according to the fifteenth embodiment. [Figure 17] FIG. 23 is a block diagram illustrating the operation of the radio wave environment calculation model generation system and the electromagnetic field calculation system using the same model according to the sixteenth embodiment. [Figure 18] FIG. 23 is a block diagram illustrating the operation of the radio wave environment calculation model generation system and the electromagnetic field calculation system using the same model according to the seventeenth embodiment. [Figure 19] FIG. 23 is a block diagram illustrating the operation of the radio wave environment calculation model generation system and the electromagnetic field calculation system using the same model according to the eighteenth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0016] Hereinafter, the embodiments will be described in detail with reference to the drawings. However, the present invention should not be interpreted as being limited to the description of the embodiments shown below. Those skilled in the art will easily understand that the specific configuration can be changed within the scope of the idea or purpose of the present invention.

[0017] In the configurations of the embodiments described below, the same parts or parts having similar functions are denoted by the same reference numerals in different drawings, and redundant explanations may be omitted.

[0018] When there are multiple elements having the same or similar functions, they may be described using the same reference numeral with different subscripts. However, when there is no need to distinguish between multiple elements, the subscripts may be omitted.

[0019] The designations "first," "second," "third," etc. in this specification are used to identify components and do not necessarily limit the number, order, or content thereof. Furthermore, numbers used to identify components are used in different contexts, and numbers used in one context do not necessarily indicate the same configuration in another context. Furthermore, this does not prevent a component identified by a certain number from also serving the function of a component identified by another number.

[0020] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings etc. may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings etc.

[0021] All publications, patents, and patent applications cited herein are incorporated by reference in their entirety.

[0022] As used herein, elements referred to in the singular are intended to include the plural unless the context clearly indicates otherwise.

[0023] The embodiments include multiple means for solving the above-described problems. For example, measuring devices equipped with a transmitting antenna in a wireless communication frequency band, multiple receiving antennas, and LiDAR (Light Detection and Ranging) using lightwave frequencies are placed at multiple locations within a wireless communication service area. One measuring device memorizes its location within the area and then transmits radio waves in the communication frequency band. Another measuring device measures the direction of arrival of the received radio waves and measures a point cloud using the LiDAR in that direction. The other measuring device identifies the coordinates and directions of points that make up the point cloud within the area based on the stored measurement locations and point cloud measurement results, and sequentially records the coordinates and directions. The position of the measuring device set within the area is then changed to acquire the coordinates and directions of points that make up the point cloud covering the entire area. From all point clouds with the acquired direction and coordinate attributes, structures existing within the service area are reconstructed in cyberspace to create a calculation model of the electromagnetic field.

[0024] Here is another example: Two measuring devices equipped with a wireless communication frequency band transmitting antenna, multiple receiving antennas, and LiDAR using lightwave frequencies are placed at multiple locations within a wireless communication service area. One measuring device transmits radio waves in the communication frequency band while moving along a predetermined first route. The other measuring device measures the direction of arrival of the received radio waves while moving along a predetermined second route, and measures a point cloud in that direction using LiDAR. The other measuring device identifies the coordinates and directions of points that make up the point cloud within the area based on the measurement positions on the second route and the point cloud measurement results, and records these coordinates and directions as needed. The measuring device then changes its position within the area to obtain the coordinates and directions of points that make up the point cloud covering the entire area. From all point clouds with the obtained direction and coordinate attributes, structures existing within the service area are reconstructed in cyberspace and used as a calculation model of the electromagnetic field.

[0025] Here's another example: Measuring devices equipped with a wireless communication frequency band transmitting antenna, multiple receiving antennas, and LiDAR using optical frequencies are placed at multiple locations within a wireless communication service area. Each measuring device is assigned a unique ID linked to specific location coordinates within the area. At a predetermined timing, the measuring device transmits a signal indicating its ID over the communication frequency band. Another measuring device acquires the ID of the transmitted signal and simultaneously measures the direction of arrival of the received radio waves. Another measuring device measures a point cloud using LiDAR in the direction of arrival of the received radio waves. Using the acquired ID and point cloud measurement results, the other measuring devices identify the coordinates and directions of the points that make up the point cloud within the area and sequentially record these coordinates and directions. Each measuring device then receives the transmitted signals from all other measuring devices located within the area and repeats the transmission and reception operations to acquire all IDs. In this way, the coordinates and directions of the points that make up the point cloud covering the entire area are acquired. Then, from all point clouds with the acquired direction and coordinate attributes, structures existing within the service area are reconstructed in cyberspace and used as a computational model of the electromagnetic field.

[0026] Here is another example. Measuring devices equipped with a wireless communication frequency band transmitting antenna, multiple receiving antennas, and LiDAR using lightwave frequencies are placed at multiple locations within a wireless communication service area. One measuring device memorizes its location within the area and then transmits radio waves in the communication frequency band. Another measuring device measures the direction of arrival of the received radio waves and measures a point cloud using LiDAR in that direction. Another measuring device identifies the coordinates and directions of the points that make up the point cloud within the area based on the memorized positions and point cloud measurement results. Another measuring device calculates and generates a polygon within the point cloud whose normals coincide with the obtained coordinates and directions of the multiple points, and sequentially records the vertex coordinates of the polygon. The position of the measuring device set within the area is changed to generate a set of polygons that cover the entire area. All polygons are used to reconstruct the structures existing within the service area in cyberspace and create a calculation model of the electromagnetic field.

[0027] Another example is as follows: Measuring devices equipped with a wireless communication frequency band transmitting antenna, multiple receiving antennas, and LiDAR using lightwave frequencies are placed at multiple locations within a wireless communication service area. One measuring device memorizes its location within the area and then transmits radio waves in the communication frequency band. Another measuring device measures the direction of arrival of the received radio waves and measures a point cloud using LiDAR in that direction. The other measuring device identifies the coordinates and directions of the points that make up the point cloud within the area using the memorized positions and point cloud measurement results, and sequentially records these coordinates and directions. The position of the measuring device set within the area is changed to obtain the coordinates and directions of the points that make up the point cloud covering the entire area. A polygon is generated with multiple points included in all the acquired point clouds as vertices, and the coordinates of the points in all the point clouds are corrected so that the angle difference between the normal of the polygon and the direction associated with the points used as vertices is minimized. This results in a calculation model of the electromagnetic field used in cyberspace for structures existing within the service area.

[0028] According to the embodiment described in detail below, the communication quality within a service area providing wireless communication can be estimated by electromagnetic field calculation using a calculation model in cyberspace. Since the wireless communication characteristics within the area can be accurately reproduced in cyberspace, it becomes possible to perform electromagnetic field calculation that reproduces the behavior of radio waves of wireless communication frequencies in real space, which is effective for predicting the communication performance and diagnosing the operating status of wireless communication systems. [Example]

[0029] 1 and 2 are diagrams for explaining the configuration of a radio wave environment calculation model generation system according to Example 1. The upper part of each diagram shows the hardware layout of a real space 101, and the lower part of each diagram shows a calculation model corresponding to the upper part for electromagnetic field analysis constructed in computer resources 201.

[0030] In the real space 101, there is a room 1 which is composed of a ceiling, walls, and a floor, and a door 2 and a window 3 are provided on the wall of the room 1, and a shelf 4 and a table 5 are arranged inside the room 1.

[0031] For example, two measurement radio devices 10 are installed inside the room 1, and each measurement radio device 10 has one transmitting antenna 12 that emits radio waves in the wireless communication frequency band and multiple receiving antennas 13 that receive radio waves in the wireless communication frequency band.The measurement radio device 10 also has a LiDAR 11 that emits lightwave band radio waves in any three-dimensional direction and detects the reflected waves, thereby measuring the distance to the collision point on the surface of an object where the emitted radio waves collide, and identifying the position of the collision point using the emission direction and the distance.The configuration of the LiDAR 11 is well known, so a detailed description will not be given here.

[0032] The measurement radio device 10 emits radio waves in the wireless communication frequency band in all three-dimensional directions from the transmitting antenna 12, and the emitted radio waves propagate inside the room 1, hitting the floor, ceiling, walls, and surfaces of structures inside, before being reflected and re-emitted, repeating this process.When radio waves in the wireless communication frequency band are reflected by the surface of a structure, the measurement radio device 10 simultaneously receives the re-emitted radio waves at different phases using multiple receiving antennas, making it possible to determine the direction from which the radio waves are coming.

[0033] Alternatively, the measurement radio device 10 may radiate radio waves in the radio communication frequency band in one specific direction from the transmitting antenna 12. The radio waves radiated in one specific direction similarly propagate inside the room 1, collide with the surfaces of the floor, ceiling, walls, and structures present inside, and then are reflected and re-radiated, repeating this process.

[0034] When the measurement wireless device 10 located at a predetermined position inside the room 1 detects the received power, it activates the LiDAR to emit light in the direction from which the radio waves are coming, measures the distance to a point on an object in the same direction, and by taking the direction of arrival into consideration, it is possible to identify a reflection point 21 of the radio waves in the wireless communication frequency band inside the room 1. The LiDAR may be irradiated at a predetermined angle of view in the direction from which the radio waves are coming, and measure multiple reflection points 21. By acquiring multiple reflection points 21, a polygon can be formed.

[0035] 1 and 2, by changing the position of the measurement radio device 10 and repeating the above-mentioned operation, it is possible to obtain a large number of coordinates of points near the reflection point of the radio waves that fill the entire interior of the room 1 and the re-radiation direction of the reflected waves at the reflection point 21. By using the coordinates within the room 1 of the installation location of the measurement radio device 10 and the coordinates of the reflection point 21, it is possible to know the incident direction of the radio waves in the wireless communication frequency band that are incident on the reflection point 21. Note that the figure only shows the trajectory of a single reflection. To track only a single reflection, it is sufficient to select the received radio waves based on the radio wave strength and polarization plane.

[0036] If the coordinates of the reflection point 21 and the direction of incidence and re-emission of radio waves in the wireless communication frequency band are known, the normal direction of the structure surface including the reflection point 21 can be determined. Using the coordinates of multiple points near the reflection point, a polygon 22 that controls the reflection of radio waves in the wireless communication frequency band can be obtained by appropriate calculation. For example, a combination is selected in which the normal direction of the triangle obtained by appropriately extracting three points near the reflection point is closest to the normal direction of the structure surface obtained by calculation. Then, the coordinates of the selected three points are changed with the shortest movement distance to match the normal direction of the triangle with the normal direction of the structure surface, thereby determining the polygon 22.

[0037] The phenomenon that occurs near the reflection point of a radio wave is explained using Figure 3. For example, assume that the communication radio wave transmitted from measurement radio device 10-1 in Figure 1 is reflected by reflection point 21 on the ceiling of room 1 and measured by measurement radio device 10-2. Measurement radio device 10-2 can detect the direction of arrival of the radio wave using a known method.

[0038] In this embodiment, the LiDAR of the measurement radio device 10-2 irradiates light in the direction of the radio wave arrival, measures the distance to the reflection point 21, and determines the coordinates of the reflection point. When measuring distance, light waves with short wavelengths can be used with higher accuracy than radio waves for communication.

[0039] Figure 3 shows an enlarged image 21EX of reflection point 21. The inventors noticed that the surface of reflection point 21 is not an ideal mirror surface, and therefore light waves and communication radio waves behave differently. Specifically, reflection point 21 is actually a surface with a finite area, and because the surface is not a mirror surface at the micro level, the reflection directions of light waves and communication radio waves, which have different wavelengths, are different.

[0040] Generally, LiDAR projects light waves 1001A onto an object, detects the light reflected by, for example, reflection point 21, measures the distance to the reflection point, and adds information about the normal of the reflection point (surface) to the coordinates of the reflection point. In other words, in a model created using LiDAR, the normal (i.e., the direction of the surface) is determined based on the characteristics of the light waves. For example, in Figure 3, reflected light waves 1001B from incident light wave 1001A are detected, and the normal is determined based on the directions of incident light wave 1001A and reflected light wave 1001B. This normal is determined by the microscopic structure of reflection point 21 (shown in enlarged image 21EX).

[0041] On the other hand, for communication radio waves with longer wavelengths, reflection point 21 is close to a mirror surface. When incident radio wave 1002A is incident on reflection point 21, reflected radio wave 1002B is reflected, for example, in the direction shown in the figure, with the normal line being 1003. Geometrically, the incident direction and the reflected direction form equal angles with respect to the normal line.

[0042] In this way, because the action of the reflection point 21 differs between light waves and radio waves in the wireless communication frequency band (radio waves for communication), if the normal to the reflection point 21 is determined in a model created using LiDAR, the reflection direction of the ray simulating the radio waves for communication will differ from that in the real environment. Therefore, in this embodiment, the distance to the reflection point 21 is determined by LiDAR, but the reflection characteristics of the reflection point are determined by the radio waves for communication, making it possible to create a model that is faithful to the real environment.

[0043] According to this embodiment, a computational model in cyberspace of a structure that affects electromagnetic waves present within a wireless communication service area can be constructed so as to faithfully reproduce the behavior of radio waves in the wireless communication frequency band. Therefore, it becomes possible to accurately reproduce the communication performance of a wireless communication system in real space in cyberspace. This is effective in improving the accuracy of performance prediction and functional diagnosis of the wireless communication system in real space using a digital twin of the system generated in cyberspace. [Example]

[0044] 4 is a diagram illustrating the configuration of a radio wave environment calculation model generation system according to Example 2. The upper part of the figure shows the hardware layout of a real space 101, and the lower part of the figure shows a calculation model corresponding to the upper part for electromagnetic field analysis constructed in computer resources 201.

[0045] 1 and 2, the difference is that the measurement radio device 10 moves along a predetermined path 23 within the room 1, and that shape data of a polygon 22 (shown by a dotted triangle in the figure) is stored in cyberspace in association with a re-emission direction 24 (shown by a short solid arrow in the figure) at a reflection point 21. The measurement radio device 10 moves within the room 1 from the starting point of the path 23 at a constant speed, for example, and its position within the room can be identified by the time elapsed from the starting point. Furthermore, the cyberspace does not need to store all point cloud data acquired by the measurement radio device 10.

[0046] 1 and 2, this embodiment does not require any device to determine the location of the measurement radio device 10 located within the wireless communication system service area when the measurement radio device 10 changes its location, which is effective in reducing the size and cost of the measurement radio device and the storage capacity of the computer resources that generate the cyberspace. [Example]

[0047] 5 is a diagram illustrating the configuration of a radio wave environment calculation model generation system according to Example 3. The upper part of the figure shows the hardware layout of the real space 101, and the lower part of the figure shows a calculation model corresponding to the upper part for electromagnetic field analysis constructed in the computer resource 201.

[0048] 4 is that the number of measurement radio devices 10 is increased. Before transmitting radio waves in the wireless communication frequency band, each measurement radio device 10 attempts to receive radio waves in the same band to confirm whether or not the radio waves are present, and only if the radio waves are not detected does it transmit radio waves in the wireless communication frequency band.

[0049] As the number of combinations of positional relationships of the measurement wireless devices 10 increases, the number of types of radio waves that are reflected by the structure of the room 1 and the structures present inside it and arrive at the multiple measurement wireless devices 10 also increases. This increases the number of point clouds that can be acquired within the wireless communication system service area, and shortens the time required to build a computational model in cyberspace.

[0050] According to this embodiment, it is possible to quickly construct a calculation model for predicting and diagnosing communication characteristics within the service area of ​​a wireless communication system, compared to the embodiment in Fig. 4, and it is easy to change the calculation model in the server space in response to changes in the position and movement of structures that affect electromagnetic waves existing within the area. Therefore, it is effective in improving the accuracy of predicting and diagnosing wireless communication characteristics within the service area in cyberspace. [Example]

[0051] A radio wave environment calculation model generation system according to a fourth embodiment will be described. The difference from the embodiment in Fig. 5 is that measurement wireless devices 10 each having a unique ID and whose positions are known in advance are placed inside a room 1, which is a wireless communication service area. The position coordinates or movement route coordinates of the measurement wireless devices 10 are associated with the IDs in advance and stored in a database within the system.

[0052] Each measurement radio device 10 transmits radio waves in a wireless communication frequency band with its ID superimposed at a predetermined timing. The measurement radio device 10 demodulates the received radio waves to acquire the ID, and by referring to a database, identifies the measurement radio device 10 that transmitted the received radio waves using the ID and determines its location.

[0053] According to this embodiment, compared to the embodiment of Figure 5, there is more freedom in the number and location of measurement radio devices 10 to be placed within the wireless communication system service area, which has the effect of allowing the wireless communication system to be introduced without interfering with activities at the site, reflecting the actual situation at the site where the wireless communication system is to be introduced. [Example]

[0054] 6 is a diagram illustrating the configuration of a radio wave environment calculation model generation system according to Example 5. The upper part of the figure shows a set of re-radiation directions 24 (indicated by short solid arrows in the figure) of reflection points obtained by measurement radio device 10 reproduced in computer resources 201 and polygons 22 (indicated by dotted triangles in the figure) representing the surfaces of structures and structures within the service area of ​​the wireless communication system, and the lower part of the figure shows a calculation model corresponding to the upper part for electromagnetic field analysis constructed in computer resources 201.

[0055] The multiple polygons 22 shown at the top are reconstructed as a group of polygons with an integrated structure as shown in the diagram below by a new polygon 601 formed by connecting the vertices of the polygons 22, thereby constructing a calculation model. Because the polygons in the calculation model are continuously connected, it is possible to perform electromagnetic field calculations in cyberspace even for radio waves that do not enter the original multiple polygons generated by the measurement radio device 10.

[0056] According to this embodiment, it is possible to perform stable electromagnetic field calculations for all electromagnetic wave incidence conditions that may occur within the wireless communication system service area, which is effective in improving the stability of prediction and diagnosis of communication characteristics of wireless communication systems in cyberspace. [Example]

[0057] 7 is a diagram illustrating the configuration of a radio wave environment calculation model generation system according to Example 6. The upper part of the figure shows the hardware layout of the real space 101, and the lower part of the figure shows a calculation model corresponding to the upper part for electromagnetic field analysis constructed in the computer resource 201.

[0058] The difference from the embodiments of Figures 4 and 5 is that the coordinates of each point that makes up the point cloud linked to the surface positions of the structures and structures filling the interior of room 1 using the measurement radio device 10, the coordinates of the reflection points of the radio waves used for wireless communication (corresponding to the coordinates of the three points after adjustment shown below), and the directional vector indicating the reflection direction from those coordinates are reproduced all at once in the server space, and the coordinates related to the point cloud are corrected in cyberspace to create a polygon that includes the reflection points and whose normal direction coincides with the normal determined by the re-emission direction.

[0059] The measurement radio device 10 has a LiDAR function and a function to measure the traveling direction of an incoming wave. By detecting an incoming wave and measuring its traveling direction, the measurement radio device 10 can determine the direction of the object that re-emitted the incoming wave. The measurement radio device 10 can obtain multiple point clouds in that direction using the LiDAR function. A polygon is generated using the coordinates of the obtained multiple point clouds and the traveling direction of the incoming wave.

[0060] There are various methods for generating polygons, but one method involves selecting three points from the resulting point cloud, calculating the normal direction of the triangular polygon formed by the three points, and adjusting the coordinates of the three points so that the normal direction coincides with the normal direction determined based on the direction of travel of the arriving wave. This adjustment should minimize the distance traveled by the coordinates of the three points before and after the adjustment. Alternatively, when selecting the three coordinates, coordinates may be selected that minimize the amount of correction for the three coordinates before and after the correction.

[0061] 4 and 5, a plurality of polygons 22 are constructed in cyberspace to form a calculation model in cyberspace of the structure of room 1 and the structures inside room 1. However, in this embodiment, the polygons are joined smoothly, which improves the accuracy of reproducing in cyberspace the communication characteristics of a wireless communication system in the case where a transmitter / receiver is present in a place where no measurement wireless device 10 was present.

[0062] The sixth embodiment is similar to the fifth embodiment in that polygons are smoothly connected, but differs from the fifth embodiment in that the coordinates of the radio wave reflection points and the direction vectors indicating the reflection direction from those coordinates are generated one by one as the measurement radio devices 10 move, whereas the coordinates of the radio wave reflection points and the direction vectors indicating the reflection direction from those coordinates are generated all at once by a plurality of fixed measurement radio devices 10. According to this embodiment, prediction and diagnosis of communication characteristics can be realized with the same degree of accuracy over the entire service area of ​​the wireless communication system as in the embodiments of Fig. 4 and Fig. 5, and therefore the reliability of wireless communication can be improved when the system is introduced, and this is effective in stably operating the system. [Example]

[0063] 8 is a diagram illustrating the configuration of a radio wave environment calculation model generation system according to Example 7. The upper part shows the hardware layout of the real space 101, the middle part shows the hardware layout of the real space 101 superimposed with data in the computer resource 201, and the lower part shows a calculation model corresponding to the upper part and the middle part for electromagnetic field analysis constructed in the computer resource 201.

[0064] The following describes the differences from the embodiment in Fig. 7. A point cloud acquisition device 70 consisting of a LiDAR 11 and a mobile device 17 moves inside the room 1 to acquire a point cloud representing the structures and structures inside the room 1. After that, the measurement wireless device 10 moves inside the room 1 in the same way as in the embodiments in Figs. 4, 5, etc. to acquire multiple reflection points 21 and the re-radiation directions of radio waves at the reflection points, and a calculation model to be used for calculating the electromagnetic field is generated in cyberspace using the point cloud and re-radiation directions in the same way as in the above-mentioned embodiment.

[0065] According to this embodiment, the number of point clouds for generating a calculation model increases compared to the embodiment in Fig. 7, making it possible to select point data from all point cloud data. As a result, it is possible to make the connections of polygons that construct a calculation model in cyberspace smoother, so that electromagnetic field calculations can be stably performed in cyberspace that covers the entire service area, which is effective in stabilizing the prediction and diagnosis of communication characteristics throughout the entire service area of ​​a wireless communication system. [Example]

[0066] The configuration and operation of a measurement radio device 10 of a radio wave environment calculation model generation system according to an embodiment will be described with reference to Figure 9. The measurement radio device 10 of the embodiment measures the direction of arrival of radio waves. In principle, when multiple receiving antennas are spatially distributed and receive radio waves, a slight time difference (phase difference) is observed in the received signal at each receiving antenna depending on the direction from which the radio waves arrive. This property is used to estimate the direction of arrival of radio waves. Various measurement methods using this principle have been reported. An example of the device used in the embodiment will be described below.

[0067] 9 is an example of a circuit block diagram of a measurement radio device 10 used in a radio wave environment calculation model generation system. In the transmission system, a modulation circuit 34 is connected to a transmission antenna 31 via a transmission mixer 33, which is connected to a communication frequency high-frequency signal generation circuit 32. An identification signal generator 36 is connected to the modulation circuit 34 via a digital-to-analog converter 35. The identification signal generator 36 generates an ID that identifies the measurement radio device 10.

[0068] In the receiving system, phase shift circuits 42 are connected to a plurality of receiving antennas 41. Each phase shift circuit 42 is connected to a combining circuit 43. The combining circuit 43 is connected to a demodulating circuit 45 via a receiving mixer 44 which is connected to the communication frequency high-frequency signal generating circuit 32. The demodulating circuit 45 is connected to the central processing unit 79 via an analog-to-digital converter 46.

[0069] The measurement radio 10 includes a LiDAR module 50 having a laser light generation circuit 55 coupled to a laser 53 and a laser light detection circuit 56 coupled to a photodiode 54. The measurement radio 10 also includes an elevation angle rotation device 51 and an azimuth angle rotation device 52 that rotate the LiDAR module 50 three-dimensionally. The elevation angle rotation device 51 and the azimuth angle rotation device 52, a camera 61 (described later), a modulation circuit 34, a demodulation circuit 45, and a plurality of phase shift circuits 42 are controlled by a central processing unit 79 that is coupled to a memory circuit 71 via a data bus.

[0070] In the transmission system, a radio-specific ID generated by an identification signal generator 36 is converted into an analog signal by a digital-to-analog converter 35. The analog signal is converted into an information signal by a modulation circuit 34, and then up-converted by a communication frequency high-frequency signal generator circuit 32 and a transmission mixer 33, and transmitted from a transmission antenna 31.

[0071] In the receiving system, high-frequency signals obtained by multiple receiving antennas 41 from radio waves arriving at the radio are phase-adjusted in a phase-shift circuit 42 under the control of a central processing unit 79. The phase-adjusted high-frequency signals are vector-combined in a combining circuit 43, and the combined high-frequency signal is down-converted by a communication frequency high-frequency signal generating circuit 32 and a receiving mixer 44. The down-converted signal is passed through a demodulating circuit 45 to reproduce an information signal, which is then input to the central processing unit 79 via an analog-to-digital converter 46.

[0072] The LiDAR module 50 changes its direction three-dimensionally and measures the reflected waves of the laser light in each direction to detect the position of an object in the same direction. The camera 61 acquires image information of the surrounding area to identify the location of the measurement wireless device.

[0073] The central processing unit 79 causes the other measurement radio devices to transmit their own IDs, receives radio waves from the other measurement radio devices, calculates their directions and IDs, and stores them in the memory circuit 71 together with video information about the area around the measurement radio devices.

[0074] 9 uses a circuit for null search that detects the receiving direction of radio waves, and the circuit for null search (top of FIG. 9) and the LiDAR module (bottom of FIG. 9) are juxtaposed in cooperation with each other. This embodiment has the effect of identifying the position coordinates of the measurement radio device, and identifying the direction of arrival of communication radio waves arriving at those position coordinates and the point from which those radio waves were emitted in three-dimensional space. [Example]

[0075] Fig. 10 is another circuit block diagram of the measurement radio device 10 used in the radio wave environment calculation model generation system of Example 9. The difference from the example of Fig. 9 is that a second receiving antenna 62 and a GPS module 63 are provided instead of the camera 61.

[0076] In order to identify the coordinates of the point cloud acquired by the LIDAR, it is necessary to identify the position of the measurement radio 10 equipped with the LIDAR, and in this embodiment, this position is identified by the GPS module 63. The GPS module 63 detects GPS signals with the second receiving antenna 62, and can directly determine the position coordinates of the measurement radio without going through calculations in the central processing unit 79.

[0077] According to this embodiment, it is possible to reduce the processing of the central processing unit for identifying the coordinates of the location of the measurement wireless device, which is effective in shortening the measurement time and reducing the power consumption of the measurement wireless device. [Example]

[0078] 11 is another circuit block diagram of the measurement radio device 10 used in the radio wave environment calculation model generation system of the embodiment 10. The difference from the embodiment of FIG.

[0079] In Example 9, the position of the measurement radio 10 equipped with a lidar was determined using GPS, but in this example, the position is determined using a timer 72 based on the preset movement route and movement speed (for example, a constant speed) of the measurement radio 10.

[0080] By using the timer 72, the central processing unit 79 can periodically repeat on the time axis a series of operations for identifying the direction of arrival of the communication radio waves and the point from which the radio waves were emitted in three-dimensional space. Note that commercially available LiDAR modules 50 generally have an external timer 57 dedicated to LiDAR, which can also be used.

[0081] It is necessary to set up a group of multiple measurement radio devices 10 and change their locations to identify the location of electromagnetic wave scatterers within the wireless communication service area, and this process can be performed by moving the measurement radio devices at a constant speed.

[0082] According to this embodiment, it is possible to identify the location of electromagnetic wave scatterers present within a wireless communication service area using a small number of measurement wireless devices, which is effective in reducing the cost of the system by simplifying the hardware configuration of the radio wave environment calculation model generation system. [Example]

[0083] Fig. 12 is another example of a circuit block diagram of the measurement radio device 10 used in the radio wave environment calculation model generation system of Example 11, and differs from the example of Fig. 11 in that the LiDAR module 50 is equipped with an external timer 57 and transmits and receives data to and from a central processing unit 79 via an Ethernet cable 58. The external timer 57 enables the LiDAR module 50 to acquire data without being controlled by the central processing unit 79, making it possible to use a commercially available general-purpose LiDAR module.

[0084] According to this embodiment, the procurement cost of the LiDAR module can be reduced, which is effective in reducing the cost of the radio wave environment calculation model generation system. [Example]

[0085] Fig. 13 is another example of a circuit block diagram of the measurement radio device 10 used in the radio wave environment calculation model generation system, and differs from the embodiment in Fig. 9 in that it does not include a camera 61 but instead includes a new device identification information storage circuit 73. The device identification information storage circuit 73 stores the unique number and installation location information of the measurement radio device 10. In this embodiment, the measurement radio device 10 is fixedly installed and is installed in multiple locations within the wireless communication service area. By fixing the installation location of the measurement radio device, it is possible to eliminate elements that identify the measurement radio device's own location.

[0086] According to this embodiment, the elements for identifying the coordinates of the location of the measurement radio device can be eliminated, which is effective in reducing the cost of the radio wave environment calculation model generation system by reducing the size and cost of the measurement radio device. [Example]

[0087] An example of the operation flow of the radio wave environment calculation model generation system according to the embodiment will be described using Fig. 14. The processing flow of one measurement radio device 10 will be described using an example in which the hardware configuration is a combination of the system of the fourth embodiment and the measurement radio device 10 of the eighth embodiment (Fig. 9). The processing flow is performed by, for example, the central processing unit 79 of Fig. 9 executing a program stored in the memory circuit 71, thereby controlling each element of the measurement radio device 10. The processing is started at a predetermined timing or in response to an external instruction.

[0088] When the system configuration shown in FIG. 1 or FIG. 2 is used, the measurement radio devices 10 may be controlled in an integrated manner by a system configuration shown in FIG.

[0089] In step S501, first, a measurement duration Tm is set for the measurement radio device 10. During the measurement duration Tm, the measurement radio device 10 transmits measurement radio waves in one specific direction or in multiple directions.

[0090] In step S502, the position of the measurement radio device 10 is identified by means of the camera 61, GPS 63, or the like.

[0091] In step S503, a threshold Eth is set for the received field strength of the measurement radio device 10. Instead of a threshold, radio waves within a predetermined range of strength may be measured.

[0092] In step S504, the phase shift values ​​of the phase shift circuits 42 coupled to the multiple receiving antennas 41 of the measurement radio device 10 are set randomly.

[0093] Subsequently, in step S505, the electric field strength is measured and it is determined by a known method whether the received electric field strength exceeds a threshold value Eth.

[0094] If the received electric field strength exceeds the threshold Eth (S505 yes), the ID contained in the received signal is extracted (S506), the phase shift value of the phase shift circuit 42 is changed in accordance with a predetermined procedure (S507), and the electric field strength is measured again to determine whether the received electric field strength exceeds the threshold Eth (S508).

[0095] If the received electric field strength does not exceed the threshold Eth (yes in S508), it means that the measurement radio wave from another measurement radio device 10 is arriving from a predetermined direction based on the phase shift value of the phase shift circuit 42 at that timing (so-called null search). Therefore, the LiDAR 11 emits light in the predetermined direction to acquire point cloud data of the three-dimensional space near the reflection point (S509).

[0096] The normal (orientation of the reflection point) of the reflection point (reflection surface) can be determined by knowing the incident direction and reflection direction of the measurement radio wave at the reflection point coordinates of the measurement radio wave measured by the LiDAR 11. In this case, if the measurement radio wave is reflected only once, the incident direction and reflection direction of the radio wave at the reflection point can be determined immediately and easily by knowing the coordinates of the position of the measurement radio device 10 that emitted the measurement radio wave and the coordinates of the position of the measurement radio device 10 that measured the reflected radio wave.

[0097] Whether or not there is a single reflection can be determined as follows, for example. If the coordinates of both the transmitting and receiving measurement radio devices 10 are known, the LiDAR 11 can know the coordinates of the reflection point of the radio wave. Therefore, if there is a single reflection, the coordinate points indicated by the LiDAR 11 of each measurement radio device 10 should approximately match. As a specific example, the LiDAR 11 of the transmitting measurement radio device 10 can irradiate light toward the reflection point coordinates measured by the LiDAR 11 of the receiving measurement radio device 10 to measure three-dimensional coordinates. If the three-dimensional coordinates measured by the LiDAR 11 of the two measurement radio devices 10 match within a predetermined error range, it can be determined that there is a single reflection. Alternatively, if the transmitting measurement radio device 10 is transmitting directional measurement radio waves, the LiDAR 11 of the transmitting measurement radio device 10 can irradiate light in the transmission direction of the measurement radio waves to measure three-dimensional coordinates, and then compare the three-dimensional coordinates with the three-dimensional coordinates measured by the LiDAR 11 of the receiving measurement radio device 10. For this cooperative processing, each measurement radio device 10 may be provided with a separate direct or indirect communication function.

[0098] If it is determined by the above method that there is a single reflection, the ID of the transmitting measurement radio device 10 contained in the received signal, the arrival direction of the measured received radio wave, and the coordinates of the point cloud data are stored in the memory circuit 71 (S510). The stored data is assigned its own ID and collected by batch processing or the like, as will be described later in Fig. 17. At this time, the strength of the received measurement radio wave may also be stored and collected.

[0099] Although the threshold value Eth used in the process S505 and the process S508 may be the same, it is preferable that the threshold value used in the process S505 is larger than the threshold value used in the process S508.

[0100] In step S511, the timer 72 is turned on to start measuring the time T.

[0101] The device transmits its own ID based on the identification signal generator 36 from the transmitting antenna 31 (S512), and then checks the elapsed time (S513) to determine whether the elapsed time T has exceeded the measurement duration Tm (S513).

[0102] If the elapsed time T exceeds the measurement duration Tm (S513 yes), the measurement point of the measurement radio device 10 is changed (S514), and it is determined whether measurements have been completed at all required measurement points (S515). If measurements have been completed at all measurement points (S515 yes), the processing is stopped.

[0103] If it is not completed (S515 no), the procedure from step S502 is repeated. The electric field strength is measured and it is determined whether the received electric field strength exceeds the threshold Eth (S505). If the received electric field strength does not exceed the threshold Eth (S505 no), the procedure from step S511 is repeated, the electric field strength is measured and it is determined whether the received electric field strength exceeds the threshold Eth (S508). If the received electric field strength exceeds the threshold Eth (S508 no), the procedure returns to step S511.

[0104] The sequence of this embodiment uses the so-called null search principle, which controls the phase of the phase shifter and finds the direction of arrival from the phase where the reception strength becomes 0. In step S507, the phase is adjusted to set the reception sensitivity of the radio wave arrival direction to zero, and the direction of arrival is estimated.

[0105] The sequence in Figure 14 shows the processing of one measurement radio device 10, but if there are multiple measurement radio devices 10, the start times of the measurement duration Tm (timer-on timing in S511) can be set to different times, allowing them to operate in a time-division manner.

[0106] According to this embodiment, it is possible to identify structures that cause scattering of electromagnetic waves within a wireless communication service area, scattering points on the surfaces of the structures, and the re-radiation direction of radio waves from the scattering points. Therefore, by repeating this identification operation as many times as necessary, it is possible to obtain data on structures that cause scattering of electromagnetic waves, which is used to construct an electromagnetic field calculation model within computer resources for calculating the behavior of electromagnetic waves related to wireless communication within the wireless communication service area. Using this data, it becomes possible to predict and diagnose the communication quality and operating status of the wireless communication system with high accuracy. [Example]

[0107] 15 is a diagram for explaining the flow of another operation of the radio wave environment calculation model generation system. The processes S501 to S515 are the same as those in the thirteenth embodiment (FIG. 14).

[0108] The difference from the thirteenth embodiment is that it includes a process (S1501) for determining whether data for the IDs of all wireless devices within the wireless communication service area has been acquired. If data for the IDs of all wireless devices has been acquired (yes in S1501), it is then determined whether measurements at all required measurement points have been completed (S515), and if measurements at all measurement points have been completed (yes in S515), the process stops.

[0109] If measurements at all measurement points have not been completed (S515 no), the procedure from step S502 is repeated. It is determined whether data for the IDs of all wireless devices has been acquired (S1501), and if data for the IDs of all wireless devices has not been acquired (S1501 no), the procedure from step S502 is repeated. The field strength is measured and it is determined whether the received field strength exceeds the threshold Eth (S505), and if the received field strength does not exceed the threshold Eth (S505 no), the procedure from step S511 is repeated, the field strength is measured and it is determined whether the received field strength exceeds the threshold Eth (S508), and if the received field strength exceeds the threshold Eth (S508 no), the procedure returns to step S511.

[0110] According to this embodiment, it is possible to identify structures that cause scattering of electromagnetic waves within a wireless communication service area, scattering points on the surfaces of the structures, and the re-radiation direction of radio waves from the scattering points. Therefore, by repeating this identification operation as many times as necessary, it is possible to obtain data on structures that cause scattering of electromagnetic waves, which is used to construct an electromagnetic field calculation model within computer resources for calculating the behavior of electromagnetic waves related to wireless communication within the wireless communication service area. Using this data, it becomes possible to predict and diagnose the communication quality and operating status of the wireless communication system with high accuracy. [Example]

[0111] 16 is a diagram illustrating another operation flow of the radio wave environment calculation model generation system. In this embodiment, the measurement wireless device does not include a LiDAR, but a separately installed LiDAR is used. First, the location information of the LiDAR is acquired by a camera, a GPS, and a marker installed within the service area of ​​the wireless communication system (S701).

[0112] A point cloud existing on the surface of structures and structures within the service area of ​​the wireless communication system is acquired using LiDAR (S702), and it is determined whether measurements have been completed at sufficient LiDAR measurement points to identify the shapes of structures and structures existing within the service area within the computer resources (S703).

[0113] If measurements have been completed at sufficient LiDAR measurement points to identify the shapes of structures and structures within the service area within the computer resources (S703 yes), the measurement duration Tm of the measurement radio 10 is set (S705), the position of the measurement radio is identified using a camera, GPS, or other means (S706), a threshold Eth for the received field strength is set (S707), and the phase shift values ​​of the phase shift circuits coupled to multiple receiving antennas are randomly set (S708).

[0114] Next, the electric field strength is measured to determine whether the received electric field strength exceeds the threshold Eth (S709), and if the received electric field strength exceeds the threshold Eth (S709 yes), the ID included in the received signal is extracted (S710), the phase shift value of the phase shift circuit is changed in accordance with a predetermined procedure (S711), and the electric field strength is measured again to determine whether the received electric field strength exceeds the threshold Eth (S712).If the received electric field strength does not exceed the threshold Eth (S712 yes), point cloud data in three-dimensional space is obtained by the LiDAR (S713), and the measured arrival direction of the received radio wave and the coordinates of the point cloud data are stored (S714).

[0115] The timer is turned on to start measuring time T (S715), the device transmits its own ID (S716), and then checks the elapsed time to determine whether the elapsed time T has exceeded the measurement duration Tm (S717). If the elapsed time T has exceeded the measurement duration Tm (S717 yes), the device changes the measurement point of the measurement radio 10 (S718), and determines whether data for the IDs of all radios within the wireless communication service area has been acquired (S719). If data for the IDs of all radios has been acquired (S719 yes), the device continues to determine whether measurements at all required measurement points have been completed (S720).

[0116] If measurements at all measurement points have been completed (S720 yes), the process stops, and if measurements have not been completed (S720 no), the process repeats from step S706. It is determined whether data for all wireless device IDs has been acquired (S719), and if data for all wireless device IDs has not been acquired (S719 no), the process repeats from step S706.

[0117] The field strength is measured and it is determined whether the received field strength exceeds the threshold Eth (S709). If the received field strength does not exceed the threshold Eth (no in S709), the procedure from step 715 is repeated.

[0118] It is determined whether measurements have been completed at enough LiDAR measurement points to identify within the computer resources the shapes of structures and structures present within the wireless communication service area (S703), and if measurements have not been completed at enough LiDAR measurement points to identify within the computer resources the shapes of structures and structures present within the service area (no in S703), the LiDAR is moved (S704) and the procedure is repeated from process 702. The LiDAR and the measurement wireless device can each individually identify a location within the wireless communication service area and acquire data on structures that cause electromagnetic wave scattering phenomena for constructing within the computer resources an electromagnetic field calculation model for calculating the behavior of electromagnetic waves related to wireless communication within the area, and this data can be used to construct an electromagnetic field calculation model within the computer resources.

[0119] According to this embodiment, it is possible to predict and diagnose the communication quality and operating status of a wireless communication system with high accuracy using a general-purpose LiDAR, which is effective in reducing the cost of introducing a radio wave environment calculation model generation system. [Example]

[0120] FIG. 17 is a diagram for explaining an embodiment of an electromagnetic field calculation system using the radio wave environment calculation model generation system of the embodiment, showing the hardware configuration and elements displayed on the display.

[0121] 17, the radio wave reflecting surface measuring device 81 corresponds to the function of determining the direction of arrival of radio waves from the measurement radio device 10. The point cloud measuring device 82 corresponds to the function of activating the LiDAR 11 of the measurement radio device 10 and identifying the reflection points 21 of radio waves in the wireless communication frequency band.

[0122] The electromagnetic field calculation device 83, the measuring instrument / measurement device control device 84, and the radio wave scattering model generation device 87 can achieve the desired functions by using, for example, a normal computer equipped with an input device, an output device, a storage device, and a processing device, and the processing device executes a program stored in the storage device.

[0123] The point cloud data storage device 85, image data storage device 86, and reflection vector data storage device 88 can be realized by known storage devices such as semiconductor or magnetic storage devices. Furthermore, these storage devices can utilize the functions of a computer to generate and process data. The point cloud data storage device 85, image data storage device 86, and reflection vector data storage device 88 may also be configured as separate, independent computers.

[0124] The point cloud measuring device 82 and radio wave reflecting surface measuring device 81 are connected to a measuring device / measurement device control device 84 via input devices and output devices (not shown), for example, by wireless communication, and their operations are controlled. An electromagnetic field calculation device 83, a point cloud data storage device 85, and a reflection vector data storage device 88 are connected to the measuring device / measurement device control device 84. The measuring device / measurement device control device 84 and radio wave scattering model generation device 87 are connected to the electromagnetic field calculation device 83, which is in turn connected to an image data storage device 86, which in turn is connected to a radio wave characteristic display device 91 within the wireless communication area.

[0125] In this specification, the term "display device" refers to a type of output device, and any known image display device such as a display can be used. The elements are connected via an internal bus of the computer or a wired or wireless network, enabling the transmission and reception of data and commands. The configuration of the embodiment can be realized not only by a single computer, but also by a cloud configuration using multiple computers.

[0126] The point cloud data acquired by the point cloud measuring device 82 and the reflected wave vector data acquired by the radio wave reflecting surface measuring device 81 are stored in a point cloud data storage device 85 and a reflection vector data storage device 88, respectively.

[0127] As explained above, the data transmitted and collected from the radio wave reflecting surface measuring device 81 (measurement radio device 10) and the point cloud measuring device 82 (LiDAR 11) only needs to be data that can derive the three-dimensional coordinates of the reflection point and the incident direction and reflection direction of the radio wave at the reflection point. Based on this data, the orientation of the reflection point (reflection surface) relative to the communication radio wave can be determined.

[0128] One example of the collected data is a set of the ID of the measurement radio device 10 that is the source of the measurement radio waves, the three-dimensional coordinates of the reflection point (or polygon), and reflected wave vector data (for example, as shown in Figure 4). The three-dimensional coordinates of the source can be determined from the ID of the measurement radio device 10 that is the source, and the incident direction can be determined from the three-dimensional coordinates of the source and the three-dimensional coordinates of the reflection point.

[0129] In another example, the ID of the receiving measurement radio device 10 that collected the data, the ID of the transmitting measurement radio device 10 included in the received signal, and coordinate data of the point cloud data that is the reflection point are collected. The three-dimensional coordinates of the transmitting and receiving measurement radio devices 10 can be determined from the ID, so the incident direction and reflection direction of the radio wave can be determined.

[0130] The stored data is used by the measuring instrument / measurement device control device 84 to perform calculations, and the electromagnetic field calculation model described in FIGS. 1 to 8 is generated in the radio wave scattering model generation device 87. In this calculation model, the reflection characteristics of the measurement radio waves are added to the coordinate data of the point cloud data that represent the reflection points. The reflection characteristics are, for example, the normal direction of the reflecting surface, and are data that can derive the direction of the radio waves reflected from the incident radio waves. If the collected data includes the received radio wave strength, the reflectivity of the communication radio waves based on the transmitted radio wave strength may also be added. If the radio waves used for actual communication are used as the measurement radio waves, a wireless communication environment that is close to reality can be modeled.

[0131] The electromagnetic field calculation using the electromagnetic field calculation model can employ known ray tracing calculation. The electromagnetic field calculation device 83 is controlled by the measuring instrument / measurement device control device 84 and calculates the electromagnetic field within the wireless communication service area using the calculation model, and sends the results to an image data storage device 86. The image data storage device 86 sends the results to a wireless communication area radio wave characteristic display device 91. The wireless communication area radio wave characteristic display device 91 displays a diagram 301 of the electromagnetic field distribution within the area, and stores the diagram in the image data storage device 86.

[0132] According to this embodiment, since it is possible to display the radio wave conditions within the wireless communication service area, it is possible to effectively estimate the communication quality of the wireless communication system. [Example]

[0133] Fig. 18 is a diagram for explaining an embodiment of an electromagnetic field calculation system using a radio wave environment calculation model generation system, showing the hardware configuration and elements displayed on a display. Components similar to those in Fig. 17 are assigned the same reference numerals and their explanations are omitted.

[0134] In addition to the electromagnetic field calculation device 83, a radio wave scattering model generation device 87 is also connected to the image data storage device 86. The radio wave scattering model generation device 87 sends data of the calculation model that it has generated to the image data storage device 86. A wireless communication area scattering model / radio wave characteristic integrated display device 92 is connected to the image data storage device 86.

[0135] As in the sixteenth embodiment, the electromagnetic field calculation device 83 calculates the electromagnetic field within the wireless communication service area using the calculation model, and sends the results to the image data storage device 86. The image data storage device 86 creates electromagnetic field distribution display data from the electromagnetic field calculation results. The image data storage device 86 further creates image data by combining the calculation model obtained from the radio wave scattering model generation device 87 with the electromagnetic field distribution display data, and sends the image data to the wireless communication area scattering model / radio wave characteristic integrated display device 92.

[0136] The wireless communication area scattering model / radio wave characteristic integrated display device 92 displays a diagram 301 of the electromagnetic field distribution within the area, as well as a composite diagram 302 of the electromagnetic field distribution and the calculation model, and stores both diagrams in the image data storage device 86.

[0137] According to this embodiment, the radio wave conditions within a wireless communication service area can be displayed together with a calculation model of structures within the area, thereby clarifying the influence of structures within the area on wireless communication characteristics, which is effective in predicting wireless communication characteristics within the area and diagnosing the operating status of a wireless system. [Example]

[0138] Fig. 19 is a diagram for explaining an embodiment of an electromagnetic field calculation system using a radio wave environment calculation model generation system, showing the hardware configuration and elements displayed on the display. The same components as in Fig. 18 are assigned the same reference numerals and their explanations are omitted.

[0139] In addition to the point cloud measuring device 82 and radio wave reflecting surface measuring device 81, a camera 89 is connected and its operation is controlled by a measuring device / measurement device control device 84. In addition to the electromagnetic field calculation device 83 and radio wave scattering model generation device 87, the measuring device / measurement device control device 84 is connected to the image data storage device 86. An integrated display device 93 for structures, scattering models, and radio wave characteristics within the wireless communication area is connected to the image data storage device 86.

[0140] Image data captured by the camera 89 is stored in an image data storage device 86 via a measuring instrument / measurement device control device 84 .

[0141] As in the seventeenth embodiment, the electromagnetic field calculation device 83 calculates the electromagnetic field within the wireless communication service area using a calculation model and sends the results to the image data storage device 86. The image data storage device 86 creates electromagnetic field distribution display data from the electromagnetic field calculation results and creates composite data with photographic data of the scenery within the wireless communication service area photographed by a camera 89. The image data storage device 86 further creates image data that combines the calculation model obtained from the radio wave scattering model generation device 87 with the electromagnetic field distribution display data.

[0142] The image data storage device 86 sends the created data (composite data of the electromagnetic field distribution display data and the photographed data, and image data combining the calculation model and the electromagnetic field distribution display data) to the wireless communication area structures, scattering model, and radio wave characteristics integrated display device 93. The wireless communication area structures, scattering model, and radio wave characteristics integrated display device 93 displays a composite diagram 303 of a diagram of the electromagnetic field distribution within a specified area and a scene within the wireless communication service area photographed by the camera 89, as well as a composite diagram 302 of the electromagnetic field distribution and the calculation model, and stores both diagrams in the image data storage device 86.

[0143] According to this embodiment, the radio wave conditions within a wireless communication service area can be displayed together with structures within the area. This makes it possible to clarify the impact of structures within the area on wireless communication characteristics. Furthermore, since the radio wave conditions within a wireless communication service area, structures within the area, and a model for calculating the radio wave conditions can be displayed simultaneously, it is possible to predict changes in wireless communication characteristics due to changes in the placement of structures. This has the effect of using computer resources to monitor the operating status of the wireless communication system and maintain communication performance by controlling the operation of wireless devices.

[0144] According to the above embodiment, the radio wave conditions within a wireless communication service area can be reproduced using a digital twin within computer resources without the need to deploy and operate actual equipment, thereby reducing energy consumption, carbon emissions, preventing global warming, and contributing to the realization of a sustainable society. [Explanation of symbols]

[0145] Measurement wireless device 10, reflection point 21, polygon 22, path 23, radiation direction 24, real space 101, computer resource 201

Claims

1. When an information processing device that is equipped with a processing device, an output device, an input device, and a storage device and that can provide computer resources is used to construct a structural model of an electromagnetic wave scatterer that simulates a wireless communication environment within the computer resources, The information processing device includes: estimating a position of the electromagnetic wave scatterer based on data obtained by radio waves of a first frequency; estimating an effect of the electromagnetic wave scatterer on the electromagnetic wave based on data obtained by the radio wave of the second frequency; the radio wave of the second frequency is a radio wave with a wavelength of a carrier wave used in wireless communication, the first frequency radio wave has a higher frequency than the second frequency radio wave; A method for generating a radio wave environment calculation model.

2. the radio wave of the first frequency is light; The radio wave environment calculation model generating method according to claim 1.

3. a transmission source that transmits radio waves for communication at the second frequency and a measurement radio device; a first step in which the measurement radio device estimates the direction of arrival of the communication radio wave; a second step in which the measurement wireless device irradiates the light in the arrival direction and estimates coordinates of a reflection point associated with an electromagnetic wave scatterer present in the arrival direction based on reflected light of the light; a third step of constructing the structural model based on the directions of arrival and the coordinates; To execute 3. The radio wave environment calculation model generating method according to claim 2.

4. The effect of the electromagnetic wave scatterer on the electromagnetic wave is the reflection characteristics of the communication radio wave. The radio wave environment calculation model generating method according to claim 3.

5. acquiring a plurality of coordinates of reflection points associated with an electromagnetic wave scatterer present in the arrival direction, and forming a polygon from the plurality of coordinates; 5. The radio wave environment calculation model generating method according to claim 4.

6. The structural model is constructed using data that associates the reflection direction of the communication radio wave with the polygon. The radio wave environment calculation model generating method according to claim 5.

7. When forming the polygon, three or more coordinates of the reflection points are obtained; Select three coordinates from the three or more coordinates obtained, Calculate the normal direction of the polygon created by the three coordinates, correcting the three coordinates so that the calculated normal direction approaches a normal direction determined from the incident direction and reflected direction of the communication radio wave; The radio wave environment calculation model generating method according to claim 5.

8. When selecting three coordinates from the three or more coordinates obtained, selecting the coordinates such that the correction amounts of the three coordinates are smallest before and after the correction; The radio wave environment calculation model generating method according to claim 7.

9. When correcting the three coordinates so that the calculated normal direction coincides with the normal direction determined from the incident direction and reflected direction of the communication radio wave, Correcting the three coordinates so that the correction amounts are smallest before and after the correction. The radio wave environment calculation model generating method according to claim 7.

10. Prior to the third step, Identifying the coordinates of the transmission source and the measurement radio device; The radio wave environment calculation model generating method according to claim 3.

11. An information processing device that is equipped with a processing device, an output device, an input device, and a storage device and is capable of providing computer resources is used, The information processing device includes: Calculating electromagnetic field characteristics using the structural model according to claim 1 and a ray simulating radio waves of the second frequency traveling in real space. Radio wave environment calculation method.

12. A radio wave environment calculation model generation system having a processing device, an output device, an input device, and a storage device, which constructs a structural model of an electromagnetic wave scatterer simulating a radio communication environment within computer resources, the storage device stores position data of the electromagnetic wave scatterer based on data obtained by the radio wave of the first frequency acquired from the input device; the storage device stores reflection characteristic data of the electromagnetic wave scatterer with respect to the electromagnetic wave based on data obtained by the radio wave of the second frequency acquired from the input device; the radio wave of the second frequency is a radio wave with a wavelength of a carrier wave used in wireless communication, the first frequency radio wave has a higher frequency than the second frequency radio wave; a model generation device that constructs the structural model using a set of the position data and the reflection characteristic data; A radio wave environment calculation model generation system comprising:

13. the reflection characteristic data indicates a reflection direction of the radio wave of the second frequency incident on the electromagnetic wave scatterer; The radio wave environment calculation model generation system according to claim 12.

14. The reflection characteristic data further indicates a reflectance of the radio wave of the second frequency incident on the electromagnetic wave scatterer. The radio wave environment calculation model generation system according to claim 13.

Images