WO2023170758A1

WO2023170758A1 - Method for predicting received power and system for predicting received power

Info

Publication number: WO2023170758A1
Application number: PCT/JP2022/009799
Authority: WO
Inventors: 元晴佐々木; 憲一河村; 尚希澁谷; 渉山田; 稔猪又; 伸晃久野; 貴庸守山
Original assignee: 日本電信電話株式会社
Priority date: 2022-03-07
Filing date: 2022-03-07
Publication date: 2023-09-14

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

Reception power prediction method and reception power prediction system

The present invention relates to a received power prediction method and a received power prediction system.

Techniques for predicting wireless communication quality in wireless communication systems are known. For example, assuming a static environment where the blocker is a building, tree, or other object whose position and size do not change on a second-by-second basis, the reception power of the communication terminal is Techniques for predicting power are known.

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

Embodiments of the present invention have been made in view of the above-mentioned problems, and in a dynamic environment where a mobile object exists, the received power of a communication terminal is predicted by taking into account the interruption of radio waves by the mobile object. The present invention provides a method for predicting received power.

In order to solve the above problems, a received power prediction method according to an embodiment of the present invention includes an acquisition process in which a received power prediction system acquires dynamic environmental information of an object in a predetermined area, and a process of acquiring the position of the communication terminal located in the area, a process of predicting the predicted position of the communication terminal after a predetermined time has elapsed, and a process of predicting the dynamic environmental information after the elapse of the predetermined time. , based on the received power angle profile information measured in advance at the predicted position of the communication terminal or evaluation points around the predicted position, and the dynamic environment information after the elapse of the predetermined time, the predetermined A prediction process of predicting the reception power of the communication terminal after a lapse of time is executed.

According to the embodiments 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 a mobile body exists, taking into account the interruption of radio waves by the mobile body.

FIG. 1 is a diagram illustrating an example of a system configuration of a received power prediction system according to the present embodiment. FIG. 3 is a diagram for explaining reception power prediction processing according to the present embodiment. FIG. 3 is a diagram for explaining pre-processing according to the present embodiment. FIG. 3 is a diagram illustrating another example of the system configuration of the received power prediction system according to the present embodiment. 7 is a flowchart illustrating an example of received power prediction processing according to the present embodiment. It is a flow chart which shows an example of pre-processing concerning this embodiment. FIG. 2 is a diagram showing an example of a hardware configuration of a prediction device according to the present embodiment. FIG. 2 is a diagram illustrating an example of the hardware configuration of a communication terminal according to the present embodiment. FIG. 1 is a diagram (1) for explaining a problem of the present embodiment. FIG. 2 is a diagram (2) for explaining the problem of this embodiment.

Hereinafter, an embodiment of the present invention (this embodiment) will be described with reference to the drawings. The embodiments described below are merely examples, and the embodiments to which the present invention is applied are not limited to the following embodiments.

<System configuration>
A received power prediction system 1 according to the present embodiment is a system that predicts received power received by a communication terminal from a wireless base station in a wireless communication network.

Conventional quality prediction systems such as those shown in Non-Patent Document 1 predict wireless communication quality from actual measured values of communication quality at evaluation points obtained in advance, the current position of the communication terminal, movement information of the communication terminal, etc. There is. With this conventional technology, for example, as shown in FIG. 9, in a static environment 900 where there are only stationary objects such as a building 903, communication is made from a wireless base station 901 based on an actual measured value of received power obtained in advance. The received power received by terminal 902 can be predicted.

However, with this method, for example, as shown in FIG. 10, in a dynamic environment 1000 where there are moving objects such as a vehicle 1001, a person 1022, and a robot 1003, radio waves are blocked by the moving objects, so It is difficult to predict the received power received by communication terminal 902.

Therefore, the received power prediction system 1 according to the present embodiment is configured to be able to predict the received power received by the communication terminal 902 in a dynamic environment 1000 where a mobile body exists, taking into account the interruption of radio waves by the mobile body. , for example, has the system configuration shown in FIG. 1 or FIG. 4.

(System configuration 1)
FIG. 1 is a diagram showing an example of a system configuration of a received power prediction system according to this embodiment. In the example of FIG. 1, the received power prediction system 1 is realized by a prediction device 100.

The prediction device 100 is an information processing device having a computer configuration or a system including multiple computers. The prediction device 100 executes a predetermined program on a computer included in the prediction device 100 to obtain an environment information acquisition unit 101, a terminal position acquisition unit 102, a terminal position prediction unit 103, an environment information prediction unit 104, and a received power prediction unit 105. , the communication unit 106, and other functional configurations. Note that at least some of the above functional configurations may be realized by hardware.

Furthermore, the prediction device 100 realizes an environment information storage unit 111, a terminal position storage unit 112, an angle profile storage unit 113, etc. using a storage device, a memory, etc. included in the prediction device 100.

The environmental information acquisition unit 101 executes an acquisition process to acquire dynamic environmental information about objects in a predetermined area. For example, as shown in FIG. 2, the environmental information acquisition unit 101 uses 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 to obtain information in a predetermined area. Dynamic environmental information within the building 201 is acquired. This dynamic environment information includes, for example, information indicating the positions of the

moving objects

202a, 202b, and 202c within the building 201.

LiDAR (Light Detection And Ranging, or Laser Imaging Detection And Ranging) 211 measures the distance to an object by irradiating the object with light such as a laser beam and detecting the reflected light with an optical sensor. It is a device. The environmental information acquisition unit 101 uses the LiDAR 211 to acquire three-dimensional point cloud data by sensing a predetermined area, such as inside the building 201, and converts the acquired three-dimensional point cloud data into dynamic environmental information. You can also use it as

The stereo camera 212 is a camera that can measure images of the object and the distance to the object by simultaneously photographing the object from two different directions. The environmental information acquisition unit 101 uses a stereo camera 212 to sense a predetermined area, such as inside a building 201, to acquire three-dimensional point cloud data, and dynamically converts the acquired three-dimensional point cloud data. It may also be used as environmental information.

The depth camera 213 is a camera that captures a depth image including depth data indicating the distance to the target object by photographing the target object. The environmental information acquisition unit 101 may use the depth camera 213 to acquire depth data by photographing a predetermined area, such as inside the building 201, and use the acquired depth data as dynamic environmental information.

The camera 214 is, for example, a monocular camera that takes a normal camera image that does not include depth data. Deep learning has been used to estimate depth images from monocular camera images that do not contain depth data. The environmental information acquisition unit 101 may generate depth data using deep learning from a camera image taken by the camera 214, and use the generated depth data as dynamic environmental information.

The wireless sensing device 215 is a device that measures the position of an object using wireless communication or reflection of radio waves. For example, by acquiring the CSI (Channel State Information) of each subcarrier using multiple subcarriers such as wireless LAN (Local Area Network) communication, and inputting the acquired CSI into a trained machine learning model, Techniques have been developed to acquire the position of objects. Further, the wireless sensing device 215 may be a millimeter wave radar or the like that can measure the distance, angle, speed, etc. to the target object. The environmental information acquisition unit 101 uses the wireless sensing device 215 to sense a predetermined area, such as inside the building 201, to obtain position data of objects in the predetermined area, and uses the obtained position data etc. It may also be dynamic environmental information.

Furthermore, the environmental information acquisition unit 101 may acquire dynamic environmental information about objects in a predetermined area using other positioning methods. In this way, the dynamic environmental information acquired by the environmental information acquisition unit 101 includes 3D point cloud data, depth data, position data, etc. of objects acquired by a 3D sensor, and includes objects within a predetermined area. Any data that can identify the position of the moving object may be used. Moreover, the positioning method for acquiring dynamic environmental information may be any positioning method.

The terminal location acquisition unit 102 executes processing to acquire the location of a communication terminal in a predetermined area. For example, the communication terminal adds position information (coordinate information) indicating the location of the communication terminal and transmits request information requesting the prediction device 100 to obtain a predicted value of received power. The terminal position acquisition unit 102 may acquire the position of the communication terminal from, for example, request information that the communication unit 106 receives from the communication terminal. However, the present invention is not limited to this, and similarly to the environmental information acquisition section 101, the terminal position acquisition section 102 may acquire the position of the communication terminal using various three-dimensional sensors.

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 current time. For example, the terminal location acquisition unit 102 stores the acquired location of the communication terminal in the terminal location storage unit 112. Furthermore, the terminal position prediction unit 103 predicts the position of the communication terminal after a predetermined time has elapsed, based on the history of the position of the communication terminal stored in the terminal position storage unit 112, for example, by linear prediction.

As another example, the terminal position prediction unit 103 may be included in the communication terminal. In this case, the terminal position prediction unit 103 of the communication terminal calculates a predetermined time period ( The predicted position of the communication terminal after t seconds has elapsed is calculated. Further, the communication terminal adds the position of the communication terminal and the predicted position of the communication terminal after a predetermined time has elapsed, and transmits request information to the prediction device 100 requesting acquisition of the predicted value of received power.

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

For example, the environmental information prediction unit 104 acquires the positions of the moving

objects

202a, 202b, and 202c as shown in FIG. The information is stored in the information storage unit 111 or the like. Further, the environmental information prediction unit 104 calculates the movement of the moving body (moving direction, moving speed, etc.) from the history of the position of the moving body stored in the environmental information storage unit 111 etc., and calculates the current position of the moving body and the moving body. The position of the moving object after a predetermined period of time may be predicted based on the movement of the moving object. Alternatively, the environmental information prediction unit 104 inputs 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 period of time, based on the movement history of the moving object. , the position of the moving body after a predetermined time has elapsed may be predicted.

The received power prediction unit 105 is based on the angle profile information of the received power measured in advance at the predicted position of the communication terminal or evaluation points around the predicted position, and the position of the moving body (object) after a predetermined time has elapsed. Then, the reception power of the communication terminal after a predetermined time has elapsed is predicted.

For example, as shown in FIG. 2, the angle profile information 204 indicates the received power for each arrival angle of the radio waves of the communication terminal 203. The dynamic environment information after a predetermined time period includes information indicating the position of a mobile object in a predetermined area after a predetermined time period has elapsed. Preferably, the dynamic environment information after a predetermined time period includes information representing the position and shape of a moving object in a predetermined area after a predetermined time period has elapsed. The received power prediction unit 105 deletes the angle profile in the direction c of the mobile object 202 after a predetermined time has elapsed from the received power angle profile information 204 measured in advance at evaluation points around the predicted position of the communication terminal 203. By doing so, the received power of communication terminal 203 after a predetermined time has elapsed is predicted.

Note that the prediction device 100 stores in the angle profile storage unit 113 in advance the angle profile information 204 at a plurality of evaluation points, which has been obtained in advance through pre-processing as shown in FIG. 3, for example.

FIG. 3 is a diagram for explaining the pre-processing according to this embodiment. This pre-processing is executed by, for example, an information processing device having a computer configuration using a measuring device that measures received power for each arrival angle of radio waves. 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 a different information processing device from the prediction device 100.

The information processing device obtains 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, BIM (Building Information Modeling) data 313, etc. Acquire (step S11).

Further, the information processing device sets a plurality of evaluation points 301 in the 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 the measurement device ( Step S12). Note that the measurement of the angle profile information 204 may be performed by an administrator, a worker, or the like using a measuring device.

As a result, for example, angle profile information 204 measured in advance at a plurality of evaluation points 301 within the building 201 can be obtained. The prediction device 100 stores the angle profile information 204 obtained through this pre-processing in the angle profile storage unit 113 in advance.

Here, returning to FIG. 1, the description of the functional configuration of the prediction device 100 will be continued. The communication unit 106 executes communication processing to communicate with the communication terminal 203 and the like via the communication network.

The environmental information storage unit 111 stores dynamic environmental information etc. acquired by the environmental information acquisition unit 101. The terminal location storage unit 112 stores the location of the communication terminal 203 acquired by the terminal location acquisition unit 102. The angle profile storage unit 113 stores in advance angle profile information 204 obtained through pre-processing and measured in advance at a plurality of evaluation points.

With each of the above functional configurations, 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 environment information includes, for example, information indicating the positions of the moving

bodies

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).

Subsequently, 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 elapsed, and the environmental information prediction unit 104 predicts the predicted position of the communication terminal 203 after the elapse of a predetermined time (t seconds). predict environmental information (step S3).

Further, the received power prediction unit 105 of the prediction device 100 stores the angle profile information 204 measured in advance at the predicted position of the communication terminal 203 after a predetermined time has elapsed or at evaluation points around the predicted position in the angle profile storage unit 113. Get from. Further, from the acquired angle profile information 204, after a predetermined time has elapsed, the received power prediction unit 105 deletes the angle profile in a direction of the mobile object 202c, and the reception power of the communication terminal 203 after a predetermined time has elapsed. Predict power.

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 a mobile body exists, taking into account the interruption of radio waves by the mobile body.

Note that the system configuration of the received power prediction system 1 shown in FIG. 1 is an example. The communication terminal 203 may have at least a part of each functional configuration that the prediction device 100 has.

(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 the communication network 2.

In the received power prediction system 1 shown in FIG. 4, the communication terminal 203, not the prediction device 100, has the terminal position acquisition unit 102 and the terminal position prediction unit 103 described in FIG.

The communication terminal 203 is a wireless communication device having a computer configuration. The communication terminal 203 realizes the functional configuration of the terminal position acquisition unit 102, the terminal position prediction unit 103, the communication unit 401, etc. by executing a predetermined program on a computer included in the communication terminal 203. Note that at least some of the above functional configurations may be realized by hardware.

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. .

The terminal position prediction unit 103 executes, on the communication terminal 203 side, a process of predicting the predicted position of the communication terminal after a predetermined time (t seconds) has elapsed from the current time. For example, the terminal position prediction unit 103 predicts the position of the communication terminal 203 after a predetermined period of time, based on the history of the position of the communication terminal 203 acquired by the terminal position acquisition unit 102, for example, by linear prediction or the like. Good too.

Alternatively, the terminal position prediction unit 103 calculates a predetermined time (t seconds) based on the current position of the communication terminal 203 and the movement (moving direction, moving speed, etc.) of the communication terminal measured by a sensor such as an acceleration sensor or an angle sensor. The predicted position of the communication terminal 203 after elapsed may be calculated.

The communication unit 401 connects to the communication network 2 through predetermined wireless communication, such as 5G (5th Generation) or LTE (Long Term Evolution), and executes communication processing to communicate with the prediction device 100 and the like. For example, the communication unit 401 adds communication terminal information, 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. do. Furthermore, the communication unit 401 receives the received power prediction result transmitted by the prediction device 100.

In the system configuration of FIG. 4, the prediction device 100 includes the request information that the communication unit 106 receives from the communication terminal 203, including the position of the communication terminal 203, the predicted position of the communication terminal 203 after a predetermined period of time, etc. ing. Therefore, the prediction device 100 does not need to include the terminal position acquisition unit 102, the terminal position prediction unit 103, and the like.

In this way, each functional configuration included in the prediction device 100 described in FIG. 1 only needs to be included in the received power prediction system 1, and may be included in any device within the system.

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

(Received power prediction processing)
FIG. 5 is a flowchart illustrating an example of received power prediction processing according to the present embodiment. This process is an example of a received power prediction process in which the received power prediction system 1 having the functional configuration as shown in FIG. 1 or 4 predicts the received power of the communication terminal 203 after a predetermined time has elapsed. There is. 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 that has been measured in advance at a plurality of evaluation points within a predetermined area.

In step S501, the environmental information acquisition unit 101 acquires dynamic environmental information about objects in a predetermined area. For example, the environmental information acquisition unit 101 acquires dynamic environmental information using a LiDAR 211, a stereo camera 212, a depth camera 213, a camera 214, a wireless sensing device 215, or the like installed in a predetermined area. This dynamic environment information includes information indicating the position of a mobile object within a predetermined area.

In step S502, the terminal location acquisition unit 102 acquires the location of the communication terminal 203 in a predetermined area. Note that this process may be executed by the prediction device 100 or by the communication terminal 203.

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). Note that this process may be executed by the prediction device 100 or by the communication terminal 203.

In step S504, the environmental information prediction unit 104 predicts dynamic environmental information after t seconds (after a predetermined time has elapsed). The dynamic environment information predicted here includes information indicating the predicted position of the moving object in the predetermined area after t seconds.

In step S505, the received power prediction unit 105 predicts, at the predicted position of the communication terminal 203 after t seconds, the angle profile information that will be interrupted by the predicted position of the mobile object after t seconds.

For example, the received power prediction unit 105 acquires the 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. Further, the received power prediction unit 105 predicts, from the acquired angle profile information 204, angle profile information (for example, the arrival angle of the radio wave) that will be blocked by the predicted position of the moving object after t seconds.

In step S506, the received power prediction unit 105 subtracts the received power according to the angle profile information to be cut off from the acquired angle profile information, and predicts the communication terminal 203 after t seconds.

For example, as shown in step S4 in FIG. 2, the received power prediction unit 105 subtracts the received power according to the angle profile information that will be interrupted by the moving object 202c after t seconds from the acquired angle profile information 204, and calculates the received power by t. The received power of the communication terminal 203 after a second is calculated.

Through the process shown in FIG. 5, the received power prediction system 1 can predict the received power of the communication terminal 203 in a dynamic environment where a mobile body exists, taking into account the interruption of radio waves by the mobile body.

(pre-processing)
FIG. 6 is a flowchart illustrating an example of pre-processing according to this embodiment. This process is an example of a process in which an information processing apparatus having a computer configuration acquires angle profile information at a plurality of evaluation points within a predetermined area.

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

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

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

In step S604, the information processing device measures angle profile information at each evaluation point using a measuring device.

Through the process in FIG. 6, the information processing device can acquire angle profile information measured at a plurality of evaluation points to be stored in the angle profile storage unit 113.

<Hardware configuration example>
(Hardware configuration of prediction device)
FIG. 7 is a diagram showing an example of the hardware configuration of the prediction device according to the present embodiment. The prediction device 100 includes, for example, the configuration of a computer 700 as shown in FIG. In the example of FIG. 7, the computer 700 includes 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, and the like.

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

The communication device 704 includes one or more hardware (communication devices) for communicating with other devices via a wireless or wired network. The input device 705 is an input device (eg, keyboard, mouse, microphone, switch, button, sensor, etc.) that accepts input from the outside. The output device 706 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. Note that the input device 705 and the output device 706 may have an integrated configuration (for example, an input/output device such as a touch panel display).

Bus B is commonly connected to each of the above components, and transmits, for example, address signals, data signals, and various control signals. Note that 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).

(Hardware configuration of communication terminal)
FIG. 8 is a diagram showing an example of the hardware configuration of the communication terminal according to the present embodiment. In addition to the hardware configuration of the computer 700 described in FIG. 7, the communication terminal 203 includes, for example, a GPS device 801, a sensor 802, and the like.

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, for example, a detection device such as an acceleration sensor or an angle sensor that detects the movement of the communication terminal 203.

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

Furthermore, the term "computer-readable recording medium" includes various storage devices such as flexible disks, magneto-optical disks, ROMs, CD-ROMs, and other portable media, and hard disks built into computer systems. Furthermore, a "computer-readable recording medium" refers to a storage medium that dynamically stores a program for a short period of time, such as a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. It may also include a device that retains a program for a certain period of time, such as a volatile memory inside a computer system that is a server or client in that case.

Further, the above-mentioned program may be one for realizing a part of the above-mentioned functions, and further may be one that can realize the above-mentioned functions in combination with a program already recorded in the computer system. It may be realized using hardware such as a PLD (Programmable Logic Device) or an FPGA (Field Programmable Gate Array).

<Effects of embodiment>
According to the present 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 a mobile body exists, taking into account the interruption of radio waves by the mobile body.

In addition, due to the above-mentioned effects, in wireless communication systems, it is possible to switch the accommodation destination (wireless base station) of communication terminals due to deterioration of communication quality, control communication parameters, or change the driving route of self-driving cars, etc. Stable use of applications becomes possible.

<Summary of embodiments>
This specification discloses at least the following wireless communication methods and wireless communication systems.
(Section 1)
The received power prediction system
an acquisition process that acquires dynamic environmental information of objects in a predetermined area;
a process of acquiring the position of a communication terminal in the predetermined area;
A process of predicting a predicted position of the communication terminal after a predetermined time has elapsed;
a process of predicting the dynamic environmental information after the predetermined time has elapsed;
the predetermined time based on the received power angle profile information measured in advance at the predicted position of the communication terminal or an evaluation point around the predicted position and the dynamic environment information after the predetermined time elapses. a prediction process that predicts the received power of the communication terminal after passing;
A method for predicting received power.
(Section 2)
2. The received power prediction method according to claim 1, wherein the dynamic environment information acquired in the acquisition process includes three-dimensional point group 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 environment information after the predetermined time period includes information indicating the position of the mobile object in the predetermined area after the predetermined time period has elapsed;
The prediction process subtracts the received power from the arrival angle of a radio wave that is blocked by a mobile object in the predetermined area after the predetermined time has elapsed from the angle profile information of the received power measured in advance at the evaluation point. , the received power prediction method according to claim 3, wherein the received power of the communication terminal after the predetermined time has elapsed is predicted.
(Section 6)
an environmental information acquisition unit configured to acquire dynamic environmental 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 position prediction unit configured to predict a predicted position 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;
the predetermined time based on the received power angle profile information measured in advance at the predicted position of the communication terminal or an evaluation point around the predicted position and the dynamic environment information after the predetermined time elapses. a received power prediction unit configured to predict received power of the communication terminal after elapse of;
A received power prediction system.

Although the present embodiment has been described above, the present invention is not limited to such specific embodiment, and various modifications and changes can be made within the scope of the gist of the present invention as described in the claims. It is.

1 Received power prediction system 101 Environmental information acquisition unit 102 Terminal position acquisition unit 103 Terminal position prediction unit 104 Environmental information prediction unit 105 Received power prediction unit 113 Angle profile storage unit 203 Communication terminal 204 Angle profile information 211 LiDAR
212 Stereo camera 213 Depth camera 214 Camera 215 Wireless sensing device 301 Evaluation point

Claims

The received power prediction system
an acquisition process that acquires dynamic environmental information of objects in a predetermined area;
a process of acquiring the position of a communication terminal in the predetermined area;
A process of predicting a predicted position of the communication terminal after a predetermined time has elapsed;
a process of predicting the dynamic environmental information after the predetermined time has elapsed;
the predetermined time based on the received power angle profile information measured in advance at the predicted position of the communication terminal or an evaluation point around the predicted position and the dynamic environment information after the predetermined time elapses. a prediction process that predicts the received power of the communication terminal after passing;
A method for predicting received power.
The received power prediction method according to claim 1, wherein the dynamic environment information acquired in the acquisition process includes three-dimensional point group data, depth data, or position data of the object acquired by a three-dimensional sensor.
The received power prediction method according to claim 1, wherein the angle profile information includes information on received power for each arrival angle of radio waves measured in advance at the evaluation point.
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.
The dynamic environment information after the predetermined time period includes information indicating the position of the mobile object in the predetermined area after the predetermined time period has elapsed;
The prediction process subtracts the received power from the arrival angle of a radio wave that is blocked by a mobile object in the predetermined area after the predetermined time has elapsed from the angle profile information of the received power measured in advance at the evaluation point. 4. The received power prediction method according to claim 3, wherein the received power of the communication terminal after the predetermined time has elapsed is predicted.
an environmental information acquisition unit configured to acquire dynamic environmental 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 position prediction unit configured to predict a predicted position 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;
the predetermined time based on the received power angle profile information measured in advance at the predicted position of the communication terminal or an evaluation point around the predicted position and the dynamic environment information after the predetermined time elapses. a received power prediction unit configured to predict received power of the communication terminal after elapse of;
A received power prediction system.