Received power prediction method and received power prediction system

Abstract

In this method for predicting received power, a system for predicting received power executes: acquisition processing for acquiring dynamic environment information of an object that is in a predetermined area; processing for acquiring the position of a communication terminal that is in the predetermined area; processing for predicting a predicted position of the communication terminal after a predetermined amount of time has elapsed; processing for predicting the dynamic environment information after the predetermined amount of time has elapsed; and prediction processing for predicting the received power of the communication terminal after the predetermined amount of time has elapsed, on the basis of received-power angle profile information measured in advance at an evaluation point at the predicted position of the communication terminal or in the vicinity of the predicted position, and on the basis of the dynamic environment information after the predetermined amount of has time elapsed.

Description

[Technical Field]

[0001] The present invention relates to a received power prediction method and a received power prediction system. [Background technology]

[0002] There are known techniques for predicting wireless communication quality in wireless communication systems. For example, there is a known technique for predicting the received power of a communication terminal based on past measured values ​​of received power at a given position, assuming a static environment with obstacles such as buildings and trees whose position and size do not change on a second-by-second basis. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, "Quality Prediction Technology for Optimal Use of Multiple Wireless Access Points," NTT Technical Journal, April 2020, pp. 11-13 [Non-patent document 2] "How do we determine the location of people and objects indoors? A summary of indoor positioning methods," [online], Techfirm Blog, [Retrieved October 7, 1991], Internet<URL: https: / / www.techfirm.co.jp / blog / indoor-localization> Summary of the Invention [Problem to be solved by the invention]

[0004] However, with conventional technology, it is difficult to predict the received power of a communication terminal in a dynamic environment where moving objects such as people, vehicles, and robots are present, taking into account the blocking of radio waves by moving objects.

[0005] An embodiment of the present invention has been made in consideration of the above-mentioned problems, and provides a received power prediction method that can predict the received power of a communication terminal in a dynamic environment where mobile objects are present, taking into account the blocking of radio waves by mobile objects. [Means for solving the problem]

[0006] In order to solve the above problem, a received power prediction method according to an embodiment of the present invention is a method for predicting received power in a predetermined area. Represents the position of a moving object Get information and stores the acquired information representing the position of the moving object. and acquiring the location of the communication terminal in the predetermined area. and stores the acquired location of the communication terminal. and Based on the location history of the communication terminal, predicting a predicted location of the communication terminal after a predetermined time has elapsed; Based on the location history of the moving object, A process of predicting the dynamic environmental information after the predetermined time has elapsed, angular profile information of received power measured in advance at the predicted position of the communication terminal or at an evaluation point around the predicted position, and Position of the moving object and a prediction process for predicting the received power of the communication terminal after the predetermined time has elapsed based on the received power. [Effects of the Invention]

[0007] According to an embodiment of the present invention, it is possible to provide a received power prediction method that can predict the received power of a communication terminal in a dynamic environment where moving objects exist, taking into account the blocking of radio waves by moving objects. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating an example of a system configuration of a received power prediction system according to an embodiment of the present invention. [Figure 2] 10A and 10B are diagrams for explaining a prediction process of received power according to the present embodiment. [Figure 3] FIG. 10 is a diagram for explaining a pre-processing according to the present embodiment. [Figure 4] FIG. 10 is a diagram illustrating another example of the system configuration of the received power prediction system according to the present embodiment. [Figure 5] 10 is a flowchart illustrating an example of a process for predicting received power according to the present embodiment. [Figure 6] 10 is a flowchart illustrating an example of pre-processing according to the present embodiment. [Figure 7] FIG. 2 is a diagram illustrating an example of a hardware configuration of a prediction device according to the present embodiment. [Figure 8] FIG. 2 is a diagram illustrating an example of a hardware configuration of a communication terminal according to the present embodiment. [Figure 9] FIG. 1 is a diagram (1) for explaining a problem of the present embodiment. [Figure 10] FIG. 2 is a diagram (2) for explaining the problem of the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The embodiment described below is merely an example, and the embodiment to which the present invention is applied is not limited to the following embodiment.

[0010] <System configuration> The received power prediction system 1 according to this embodiment is a system that predicts the received power that a communication terminal receives from a wireless base station in a wireless communication network.

[0011] A conventional quality prediction system such as that shown in Non-Patent Document 1 predicts wireless communication quality from actual measurement values ​​of communication quality at evaluation points acquired in advance, the current position of the communication terminal, movement information of the communication terminal, etc. With this conventional technology, for example, as shown in Fig. 9, in a static environment 900 with only stationary objects such as buildings 903, it is possible to predict the received power that a communication terminal 902 receives from a wireless base station 901 based on actual measurement values ​​of received power acquired in advance.

[0012] However, with this method, for example, in a dynamic environment 1000 in which there are moving objects such as a vehicle 1001, a person 1022, and a robot 1003, as shown in FIG. 10, radio waves are blocked by the moving objects, making it difficult to predict the received power that a communication terminal 902 will receive from a wireless base station 901.

[0013] Therefore, the received power prediction system 1 of this embodiment has a system configuration shown in, for example, FIG. 1 or FIG. 4 so that the received power received by the communication terminal 902 can be predicted in a dynamic environment 1000 where mobile objects exist, taking into account the blocking of radio waves by the mobile objects.

[0014] (System Configuration 1) 1 is a diagram showing an example of the system configuration of a received power prediction system according to this embodiment. In the example of FIG.

[0015] The prediction device 100 is an information processing device having a computer configuration, or a system including multiple computers. The prediction device 100 realizes functional configurations such as an environmental information acquisition unit 101, a terminal position acquisition unit 102, a terminal position prediction unit 103, an environmental information prediction unit 104, a received power prediction unit 105, and a communication unit 106 by executing a predetermined program on the computer included in the prediction device 100. Note that at least a part of the above functional configurations may be realized by hardware.

[0016] Furthermore, the prediction device 100 implements an environment information storage unit 111, a terminal position storage unit 112, an angle profile storage unit 113, and the like, using a storage device, memory, and the like provided in the prediction device 100.

[0017] The environmental information acquisition unit 101 executes an acquisition process to acquire dynamic environmental information of objects in a predetermined area. For example, as shown in Fig. 2, the environmental information acquisition unit 101 acquires dynamic environmental information within a building 201, which is an example of the predetermined area, using a three-dimensional sensor such as a LiDAR 211, a stereo camera 212, a depth camera 213, a camera 214, or a wireless sensing device 215. This dynamic environmental information includes, for example, information indicating the positions of moving objects 202a, 202b, and 202c within the building 201.

[0018] The LiDAR (Light Detection and Ranging, or Laser Imaging Detection and Ranging) 211 is a device that measures the distance to an object by irradiating the object with light such as laser light and detecting the reflected light with an optical sensor or the like. The environmental information acquisition unit 101 may use the LiDAR 211 to sense a predetermined area, such as the inside of a building 201, to acquire three-dimensional point cloud data, and may use the acquired three-dimensional point cloud data as dynamic environmental information.

[0019] The stereo camera 212 is a camera that can measure the distance to an object along with an image of the object by simultaneously capturing images of the object from two different directions. The environment information acquisition unit 101 may use the stereo camera 212 to sense a predetermined area, such as the inside of the building 201, to acquire three-dimensional point cloud data, and use the acquired three-dimensional point cloud data as dynamic environment information.

[0020] The depth camera 213 is a camera that captures a depth image including depth data indicating the distance to the object by capturing an image of the object. The environment information acquisition unit 101 may use the depth camera 213 to capture an image of a predetermined area, such as the inside of the building 201, to acquire depth data, and use the acquired depth data as dynamic environment information.

[0021] The camera 214 is, for example, a monocular camera that captures normal camera images that do not include depth data. A technology for estimating a depth image from a monocular camera image that does not include depth data is realized by deep learning. The environment information acquisition unit 101 may generate depth data from the camera image captured by the camera 214 by deep learning, and use the generated depth data as dynamic environment information.

[0022] The wireless sensing device 215 is a device that measures the position, etc., of an object using wireless communication or radio wave reflection. For example, a technology has been developed that acquires the position, etc., of an object by using multiple subcarriers such as wireless local area network (LAN) communication to acquire channel state information (CSI) of each subcarrier and inputting the acquired CSI into a trained machine learning model. The wireless sensing device 215 may also be a millimeter-wave radar or the like that can measure the distance, angle, speed, etc., of the object. The environmental information acquisition unit 101 may use the wireless sensing device 215 to sense a predetermined area, such as inside the building 201, to acquire position data, etc. of objects in the predetermined area, and use the acquired position data, etc. as dynamic environmental information.

[0023] Furthermore, the environmental information acquisition unit 101 may acquire dynamic environmental information of objects in a predetermined area using other positioning methods. In this way, the dynamic environmental information acquired by the environmental information acquisition unit 101 may include three-dimensional point cloud data, depth data, position data, or the like of objects acquired by a three-dimensional sensor, and may be data that can identify the position of a moving object in a predetermined area. Furthermore, the positioning method for acquiring the dynamic environmental information may be any positioning method.

[0024] The terminal position acquisition unit 102 executes a process of acquiring the position of a communication terminal in a predetermined area. For example, the communication terminal adds position information (coordinate information) indicating the position of the terminal itself and transmits request information to the prediction device 100, requesting acquisition of a predicted value of received power. The terminal position acquisition unit 102 may acquire the position of the communication terminal from the request information received from the communication terminal by the communication unit 106, for example. However, the present invention is not limited to this, and the terminal position acquisition unit 102 may acquire the position of the communication terminal using various three-dimensional sensors, similar to the environment information acquisition unit 101.

[0025] Terminal position prediction unit 103 executes a process of predicting the predicted position of the communication terminal after a predetermined time (t seconds) has elapsed from the present time. For example, terminal position acquisition unit 102 stores the acquired position of the communication terminal in terminal position storage unit 112. Furthermore, terminal position prediction unit 103 predicts the position of the communication terminal after a predetermined time has elapsed, for example, by linear prediction, based on the position history of the communication terminal stored in terminal position storage unit 112.

[0026] As another example, the communication terminal may have the terminal position prediction unit 103. In this case, the terminal position prediction unit 103 of the communication terminal calculates a predicted position of the communication terminal after a predetermined time (t seconds) has elapsed, based on the current position of the communication terminal and the movement of the communication terminal (movement direction, movement speed, etc.) measured by a sensor such as an acceleration sensor or an angle sensor. Furthermore, the communication terminal adds the position of the communication terminal and the predicted position of the communication terminal after the predetermined time has elapsed, and transmits request information to the prediction device 100 requesting acquisition of a predicted value of received power.

[0027] The environmental information prediction unit 104 executes a process of predicting dynamic environmental information after a predetermined time (t seconds) has elapsed from the present time. For example, the environmental information acquisition unit 101 stores the acquired dynamic environmental information in the environmental information storage unit 111. Furthermore, the environmental information prediction unit 104 predicts the dynamic environmental information after the predetermined time has elapsed, for example, by linear prediction, based on the history of the dynamic environmental information stored in the environmental information storage unit 111.

[0028] For example, the environmental information prediction unit 104 acquires the positions of the moving objects 202a, 202b, and 202c shown in FIG. 2 from dynamic environmental information, and stores the acquired position histories of the moving objects 202a, 202b, and 202c in the environmental information storage unit 111 or the like. Furthermore, the environmental information prediction unit 104 may calculate the movement of the moving object (movement direction, movement speed, etc.) from the position history of the moving object stored in the environmental information storage unit 111 or the like, and predict the position of the moving object after a predetermined time has elapsed from the current position of the moving object and the movement of the moving object. Alternatively, the environmental information prediction unit 104 may predict the position of the moving object after a predetermined time has elapsed by inputting the movement history of the moving object into a prediction model that has been machine-learned in advance to predict the position of the moving object after a predetermined time has elapsed from the movement history of the moving object.

[0029] The received power prediction unit 105 predicts the received power of the communication terminal after a predetermined time has elapsed based on angle profile information of the received power measured in advance at the predicted position of the communication terminal or at an evaluation point around the predicted position, and the position of the moving body (object) after a predetermined time has elapsed.

[0030] For example, as shown in FIG. 2, angular profile information 204 indicates the received power for each arrival angle of radio waves from communication terminal 203. Furthermore, dynamic environmental information after a predetermined time has elapsed includes information indicating the position of a mobile object in a predetermined area after the predetermined time has elapsed. Preferably, dynamic environmental information after a predetermined time has elapsed includes information indicating the position and shape of a mobile object in a predetermined area after the predetermined time has elapsed. Received power prediction unit 105 predicts the received power of communication terminal 203 after a predetermined time has elapsed by deleting the angular profile in the direction where moving object 202 (c) is located after a predetermined time has elapsed from angular profile information 204 of received power measured in advance at evaluation points around the predicted position of communication terminal 203.

[0031] The prediction device 100 stores in advance in the angle profile storage unit 113 angle profile information 204 at a plurality of evaluation points, which information has been acquired in advance by pre-processing as shown in FIG.

[0032] 3 is a diagram illustrating the pre-processing according to this embodiment. This pre-processing is performed, for example, by an information processing device configured as a computer using a measuring device that measures the received power for each arrival angle of the radio wave. Note that the information processing device used for the pre-processing may be the same information processing device as the prediction device 100, or may be an information processing device different from the prediction device 100.

[0033] The information processing device acquires static environmental information from a building DB (Database) (or map DB) 311 representing the structure of the building 201, CAD (Computer Aided Design) data 312, or BIM (Building Information Modeling) data 313 (step S11).

[0034] The information processing device also sets a plurality of evaluation points 301 in a building 201, which is an example of a predetermined area, and measures the angle profile information 204 at each of the set evaluation points 301 using a measurement device (step S12). Note that the measurement of the angle profile information 204 may be performed by a manager, an operator, or the like using a measurement device.

[0035] This allows obtaining angular profile information 204 that has been measured in advance at, for example, a plurality of evaluation points 301 in the building 201. The prediction device 100 stores the angular profile information 204 obtained by this pre-processing in the angular profile storage unit 113 in advance.

[0036] 1, the functional configuration of the prediction device 100 will be further described. The communication unit 106 executes communication processing for communicating with the communication terminal 203 and the like via a communication network.

[0037] The environmental information storage unit 111 stores dynamic environmental information etc. acquired by the environmental information acquisition unit 101. The terminal position storage unit 112 stores the position of the communication terminal 203 acquired by the terminal position acquisition unit 102. The angle profile storage unit 113 stores in advance angle profile information 204 acquired in advance by pre-processing and measured in advance at multiple evaluation points.

[0038] With the above-described functional configuration, the environmental information acquisition unit 101 of the prediction device 100 acquires dynamic environmental information using various three-dimensional sensors, for example, as shown in Fig. 2 (step S1). This dynamic environmental information includes, for example, information indicating the positions of mobile objects 202a, 202b, and 202c within a predetermined area. Furthermore, the terminal position acquisition unit 102 of the prediction device 100 acquires the position of the communication terminal 203 (step S2).

[0039] Next, the terminal position prediction unit 103 of the prediction device 100 predicts the predicted position of the communication terminal 203 after a predetermined time (t seconds) has passed, and the environmental information prediction unit 104 predicts dynamic environmental information after the predetermined time has passed (step S3).

[0040] Furthermore, the received power prediction unit 105 of the prediction device 100 acquires angular profile information 204 measured in advance at the predicted position of the communication terminal 203 after a predetermined time has elapsed or at an evaluation point in the vicinity of the predicted position from the angular profile storage unit 113. Furthermore, the received power prediction unit 105 deletes the angular profile in the direction in which the moving object 202c is located after the predetermined time has elapsed from the acquired angular profile information 204, and predicts the received power of the communication terminal 203 after the predetermined time has elapsed.

[0041] Through the above processing, the received power prediction system 1 can predict the received power of the communication terminal 203 in a dynamic environment where mobile objects exist, taking into consideration the blocking of radio waves by mobile objects.

[0042] 1 is an example. At least some of the functional components of the prediction device 100 may be included in the communication terminal 203.

[0043] (System Configuration 2) Fig. 4 shows another example of the system configuration of the received power prediction system according to this embodiment. In the example of Fig. 4, the received power prediction system 1 includes a prediction device 100 and a communication terminal 203 that can communicate with the prediction device 100 via a communication network 2.

[0044] In the received power prediction system 1 shown in FIG. 4, the terminal position acquisition unit 102 and the terminal position prediction unit 103 described in FIG.

[0045] The communication terminal 203 is a wireless communication device having a computer configuration. The communication terminal 203 realizes functional configurations such as a terminal location acquisition unit 102, a terminal location prediction unit 103, and a communication unit 401 by executing a predetermined program on the computer included in the communication terminal 203. Note that at least a part of the above functional configurations may be realized by hardware.

[0046] The terminal position acquisition unit 102 acquires the current position of the communication terminal 203 on the communication terminal 203 side, for example, by positioning using a GPS (Global Positioning System) device and autonomous navigation using sensors such as an acceleration sensor and an angle sensor.

[0047] The terminal position prediction unit 103 executes a process of predicting the predicted position of the communication terminal after a predetermined time (t seconds) has elapsed from the present time on the communication terminal 203 side. For example, the terminal position prediction unit 103 may predict the position of the communication terminal 203 after a predetermined time has elapsed by, for example, linear prediction, based on the history of the position of the communication terminal 203 acquired by the terminal position acquisition unit 102.

[0048] Alternatively, the terminal position prediction unit 103 may calculate the predicted position of the communication terminal 203 after a predetermined time (t seconds) has elapsed from the current position of the communication terminal 203 and the movement of the communication terminal (movement direction, movement speed, etc.) measured by sensors such as an acceleration sensor or an angle sensor.

[0049] The communication unit 401 connects to the communication network 2 by predetermined wireless communication such as 5G (5th Generation) or LTE (Long Term Evolution), and executes communication processing to communicate with the prediction device 100, etc. For example, the communication unit 401 adds information about the communication terminal, the position of the communication terminal 203, the predicted position of the communication terminal 203, etc. to request information requesting the prediction device 100 to predict received power, and transmits the request information to the prediction device 100. The communication unit 401 also receives the prediction result of the received power transmitted by the prediction device 100.

[0050] 4, in the prediction device 100, the request information received by the communication unit 106 from the communication terminal 203 includes the position of the communication terminal 203, a predicted position of the communication terminal 203 after a predetermined time has elapsed, etc. Therefore, the prediction device 100 does not need to include the terminal position acquisition unit 102, the terminal position prediction unit 103, etc.

[0051] In this way, the received power prediction system 1 only needs to have each of the functional components provided in the prediction device 100 described in FIG. 1, and any device in the system may have these components.

[0052] <Processing flow> Next, the processing flow of the received power prediction method according to this embodiment will be described.

[0053] (Prediction process of received power) Fig. 5 is a flowchart showing an example of a received power prediction process according to this embodiment. This process shows an example of a received power prediction process in which the received power prediction system 1 having the functional configuration shown in Fig. 1 or 4 predicts the received power of the communication terminal 203 after a predetermined time has elapsed. It is assumed that, at the start of the process shown in Fig. 5, the angle profile storage unit 113 stores angle profile information 204 measured in advance at a plurality of evaluation points within a predetermined area.

[0054] In step S501, the environment information acquisition unit 101 acquires dynamic environment information of objects in a predetermined area. For example, the environment information acquisition unit 101 acquires the dynamic environment information using the LiDAR 211, the stereo camera 212, the depth camera 213, the camera 214, or the wireless sensing device 215 installed in the predetermined area. This dynamic environment information includes information indicating the positions of moving objects in the predetermined area.

[0055] In step S502, the terminal position acquisition unit 102 acquires the position of the communication terminal 203 in a predetermined area. This process may be executed by the prediction device 100 or the communication terminal 203.

[0056] In step S503, the terminal position prediction unit 103 predicts the predicted position of the communication terminal 203 after t seconds (after a predetermined time has elapsed). This process may be executed by the prediction device 100 or the communication terminal 203.

[0057] In step S504, the environment information prediction unit 104 predicts dynamic environment information after t seconds (after a predetermined time has elapsed). The predicted dynamic environment information includes information indicating the predicted positions of moving objects in a predetermined area after t seconds.

[0058] In step S505, the received power predicting unit 105 predicts angle profile information that will be blocked by the predicted position of the moving object after t seconds at the predicted position of the communication terminal 203 after t seconds.

[0059] For example, the received power prediction unit 105 acquires angle profile information 204 measured in advance at the predicted position of the communication terminal 203 after t seconds or at an evaluation point around the predicted position. Furthermore, the received power prediction unit 105 predicts angle profile information (for example, the arrival angle of radio waves) that will be blocked by the predicted position of the mobile object after t seconds from the acquired angle profile information 204.

[0060] In step S506, the received power predicting unit 105 subtracts the received power according to the blocked angle profile information from the acquired angle profile information, and predicts the communication terminal 203 after t seconds.

[0061] For example, as shown in step S4 of Figure 2, the received power prediction unit 105 subtracts the received power based on the angle profile information blocked by the moving body 202c after t seconds from the acquired angle profile information 204, and calculates the received power of the communication terminal 203 after t seconds.

[0062] By the process of FIG. 5, the received power prediction system 1 can predict the received power of the communication terminal 203 in a dynamic environment where moving objects exist, taking into consideration the blocking of radio waves by moving objects.

[0063] (Pre-processing) 6 is a flowchart showing an example of pre-processing according to this embodiment. This processing shows an example of processing in which an information processing device having a computer configuration acquires angular profile information at multiple evaluation points within a predetermined area.

[0064] In step S601, the information processing device acquires static environmental information of a predetermined area from the building DB (or map DB) 311, the CAD data 312, the BIM data 313, or the like. This static environmental information includes, for example, information indicating the positions of objects that do not generally move, such as buildings, walls, and floors.

[0065] In step S602, the information processing device sets the position of the wireless base station in the static environmental information of a predetermined area.

[0066] In step S603, the information processing device sets a plurality of evaluation points in a planar manner in the static environmental information of a predetermined area.

[0067] In step S604, the information processing device measures angle profile information at each evaluation point using the measurement device.

[0068] By the processing of FIG. 6, the information processing device can acquire angular profile information measured at a plurality of evaluation points to be stored in the angular profile storage unit 113.

[0069] <Hardware configuration example> (Hardware configuration of the prediction device) Fig. 7 is a diagram showing an example of the hardware configuration of a prediction device according to this embodiment. The prediction device 100 has, for example, the configuration of a computer 700 as shown in Fig. 7. In the example of Fig. 7, the computer 700 has a processor 701, a memory 702, a storage device 703, a communication device 704, an input device 705, an output device 706, a bus B, etc.

[0070] The processor 701 is, for example, an arithmetic unit such as a CPU (Central Processing Unit) that executes predetermined programs to realize various functions. The memory 702 is a storage medium readable by the computer 700, and includes, for example, a RAM (Random Access Memory) and a ROM (Read Only Memory). The storage device 703 is a computer-readable storage medium, and may include, for example, a HDD (Hard Disk Drive), an SSD (Solid State Drive), various optical disks, and magneto-optical disks.

[0071] The communication device 704 includes one or more pieces of hardware (communication devices) for communicating with other devices via a wireless or wired network. The input device 705 is an input device (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device 706 is an output device (e.g., a display, a speaker, an LED lamp, etc.) that outputs to the outside. Note that the input device 705 and the output device 706 may be integrated into one device (e.g., an input / output device such as a touch panel display).

[0072] The bus B is commonly connected to the above components and transmits, for example, address signals, data signals, and various control signals. The processor 701 is not limited to a CPU, and may be, for example, a DSP (Digital Signal Processor), a PLD (Programmable Logic Device), or an FPGA (Field Programmable Gate Array).

[0073] (Hardware configuration of communication terminal) 8 is a diagram showing an example of the hardware configuration of a communication terminal according to this embodiment. The communication terminal 203 includes, for example, a GPS device 801, a sensor 802, and the like in addition to the hardware configuration of the computer 700 described in FIG.

[0074] The GPS device 801 is a positioning device that receives positioning signals transmitted by GPS satellites and outputs position information indicating the current position of the communication terminal 203. The sensor 802 is a detection device that detects the movement of the communication terminal 203, such as an acceleration sensor or an angle sensor.

[0075] (supplement) The prediction device 100 in this embodiment is not limited to being realized by a dedicated device, but may also be realized by a general-purpose computer. In this case, a program for realizing this function may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read into a computer system and executed to realize the function. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0076] Additionally, "computer-readable recording media" includes various storage devices such as portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as hard disks built into computer systems. Furthermore, "computer-readable recording media" may also include devices that dynamically store programs for a short period of time, such as communication lines when transmitting programs via networks such as the Internet or communication lines such as telephone lines, and devices that store programs for a certain period of time, such as volatile memory within computer systems that serve as servers or clients in such cases.

[0077] Furthermore, the above program may be one that realizes part of the above-mentioned functions, or may be one that can realize the above-mentioned functions in combination with a program already recorded in a computer system, or may be one that is realized using hardware such as a PLD (Programmable Logic Device) or FPGA (Field Programmable Gate Array).

[0078] <Effects of the embodiment> According to this embodiment, it is possible to provide a received power prediction method that can predict the received power of a communication terminal in a dynamic environment where moving objects exist, taking into account the blocking of radio waves by moving objects.

[0079] In addition, the above effects enable stable use of wireless communication or applications in wireless communication systems, such as switching the location (wireless base station) where a communication terminal is accommodated due to deterioration of communication quality, controlling communication parameters, or changing the driving route of an autonomous vehicle.

[0080] <Summary of the embodiment> This specification discloses at least the following wireless communication methods and wireless communication systems. (Section 1) The received power prediction system an acquisition process for acquiring dynamic environmental information of objects in a predetermined area; A process of acquiring the location of a communication terminal in the predetermined area; predicting a predicted location of the communication terminal after a predetermined time has elapsed; a process of predicting the dynamic environmental information after the predetermined time has elapsed; a prediction process for predicting the received power of the communication terminal after the predetermined time has elapsed, based on angular profile information of the received power measured in advance at the predicted position of the communication terminal or at an evaluation point in the vicinity of the predicted position, and the dynamic environmental information after the predetermined time has elapsed; A received power prediction method that performs the above. (Section 2) The reception power prediction method according to claim 1, wherein the dynamic environmental information acquired in the acquisition process includes three-dimensional point cloud data, depth data, or position data of the object acquired by a three-dimensional sensor. (Section 3) 2. The received power prediction method according to claim 1, wherein the angle profile information includes information on received power for each angle of arrival of radio waves measured in advance at the evaluation point. (Section 4) 4. The received power prediction method according to claim 3, wherein the received power prediction system has the angle profile information measured in advance at a plurality of evaluation points within the predetermined area. (Section 5) the dynamic environmental information after the predetermined time has elapsed includes information indicating a position of a moving object in the predetermined area after the predetermined time has elapsed; The received power prediction method described in paragraph 3, wherein the prediction process predicts the received power of the communication terminal after the specified time has elapsed by subtracting the received power from the arrival angle of radio waves that will be blocked by a moving object in the specified area after the specified time has elapsed from the angle profile information of the received power measured in advance at the evaluation point. (Section 6) an environment information acquisition unit configured to acquire dynamic environment information of objects in a predetermined area; a terminal location acquisition unit configured to acquire the location of a communication terminal in the predetermined area; a terminal location predictor configured to predict a predicted location of the communication terminal after a predetermined time has elapsed; an environmental information prediction unit configured to predict the dynamic environmental information after the predetermined time has elapsed; a received power prediction unit configured to predict received power of the communication terminal after the predetermined time has elapsed, based on angular profile information of received power measured in advance at a predicted position of the communication terminal or an evaluation point around the predicted position, and the dynamic environment information after the predetermined time has elapsed; A received power prediction system comprising:

[0081] Although the present embodiment has been described above, the present invention is not limited to such a specific embodiment, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims. [Explanation of symbols]

[0082] 1. Received power prediction system 101 Environmental Information Acquisition Department 102 Terminal location acquisition unit 103 Terminal location prediction unit 104 Environmental Information Forecasting Department 105 Received power prediction unit 113 Angle profile memory 203 Communication terminal 204 Angle Profile Information 211 LiDAR 212 Stereo Camera 213 Depth Camera 214 Camera 215 Wireless Sensing Devices 301 Evaluation Points

Claims

1. The received power prediction system an acquisition process of acquiring information representing the position of a mobile object in a predetermined area and storing the acquired information representing the position of the mobile object; A process of acquiring a location of a communication terminal in the predetermined area and storing the acquired location of the communication terminal; predicting a predicted location of the communication terminal after a predetermined time has elapsed based on a location history of the communication terminal; a process of predicting a position of the moving object after the predetermined time has elapsed based on a position history of the moving object; a prediction process for predicting the received power of the communication terminal after the predetermined time has elapsed, based on angular profile information of the received power measured in advance at the predicted position of the communication terminal or at an evaluation point in the vicinity of the predicted position, and the position of the moving object after the predetermined time has elapsed; A received power prediction method that performs the above.

2. The reception power prediction method according to claim 1 , wherein the information representing the position of the moving object acquired in the acquisition process includes three-dimensional point cloud data, depth data, or position data of the moving object acquired by a three-dimensional sensor.

3. The received power prediction method according to claim 1 , wherein the angle profile information includes information on received power for each angle of arrival of radio waves measured in advance at the evaluation point.

4. The received power prediction method according to claim 3 , wherein the received power prediction system has the angular profile information measured in advance at a plurality of evaluation points within the predetermined area.

5. The received power prediction method described in Claim 3, wherein the prediction process predicts the received power of the communication terminal after the specified time has elapsed by subtracting the received power from the angle of arrival of radio waves blocked by the moving body at the position of the moving body after the specified time has elapsed from the angular profile information of the received power previously measured at the evaluation point.

6. an environmental information acquisition unit configured to acquire information representing the position of a moving object in a predetermined area and store the acquired information representing the position of the moving object; a terminal location acquisition unit configured to acquire a location of a communication terminal in the predetermined area and store the acquired location of the communication terminal; a terminal location prediction unit configured to predict a predicted location of the communication terminal after a predetermined time has elapsed based on a location history of the communication terminal; an environmental information prediction unit configured to predict a position of the mobile object after the predetermined time has elapsed based on a position history of the mobile object; a received power prediction unit configured to predict the received power of the communication terminal after the predetermined time has elapsed, based on angular profile information of received power measured in advance at the predicted position of the communication terminal or at evaluation points around the predicted position, and the position of the moving object after the predetermined time has elapsed; A received power prediction system comprising:

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