WO2024009440A1 - 受信電力予測システム、受信電力予測装置、受信電力予測方法、及びプログラム - Google Patents

受信電力予測システム、受信電力予測装置、受信電力予測方法、及びプログラム Download PDF

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Publication number
WO2024009440A1
WO2024009440A1 PCT/JP2022/026870 JP2022026870W WO2024009440A1 WO 2024009440 A1 WO2024009440 A1 WO 2024009440A1 JP 2022026870 W JP2022026870 W JP 2022026870W WO 2024009440 A1 WO2024009440 A1 WO 2024009440A1
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Prior art keywords
received power
communication terminal
estimated value
prediction
power prediction
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PCT/JP2022/026870
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English (en)
French (fr)
Japanese (ja)
Inventor
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
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NTT Inc
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Nippon Telegraph and Telephone Corp
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Priority to JP2024531830A priority Critical patent/JPWO2024009440A1/ja
Priority to US18/872,001 priority patent/US20250337510A1/en
Priority to PCT/JP2022/026870 priority patent/WO2024009440A1/ja
Publication of WO2024009440A1 publication Critical patent/WO2024009440A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/373—Predicting channel quality or other radio frequency [RF] parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Definitions

  • the present invention relates to a received power prediction system, a received power prediction device, a received power prediction method, and a program.
  • 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.
  • 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 received power prediction system that can
  • a received power prediction system is a received power prediction system that predicts the received power of a communication terminal after a predetermined period of time has elapsed.
  • a terminal information acquisition unit configured to acquire the actual measured value of and the position of the communication terminal, and the predicted position of the communication terminal after the predetermined time has elapsed based on the position of the communication terminal.
  • a terminal position prediction unit configured as follows; an estimated value acquisition unit configured to acquire an estimated value of received power at the predicted position of the communication terminal; an actual measured value of the received power; and an estimate of the received power. and a received power prediction unit configured to predict the received power of the communication terminal after the predetermined time has passed, using the received power value.
  • a received power prediction system 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. 2 is a diagram for explaining an overview of pre-processing according to the present embodiment.
  • FIG. 2 is a diagram for explaining an overview of received power prediction 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 pre-processing according to the first embodiment. 7 is a flowchart illustrating an example of received power prediction processing according to the first embodiment.
  • FIG. 3 is a diagram for explaining reception power prediction processing using an RNN according to the first embodiment.
  • FIG. 3 is a diagram for explaining time-series data of estimated values of received power according to the first embodiment.
  • FIG. 7 is a diagram illustrating an example of a prediction result of received power after a predetermined time has elapsed according to the present embodiment.
  • FIG. 7 is a diagram for explaining an example of a received power prediction process using an RNN according to a second embodiment.
  • 12 is a flowchart illustrating an example of received power prediction processing according to the third embodiment.
  • 1 is a diagram illustrating an example of a hardware configuration of a received power prediction device according to an embodiment.
  • FIG. 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 in this embodiment.
  • FIG. 2 is a diagram (2) for explaining the problem of this embodiment.
  • the received power prediction system 1 is a system that predicts the received power that a communication terminal (wireless terminal) receives from a base station (wireless base station) after a predetermined time has elapsed in a wireless communication network.
  • Non-Patent Document 1 predicts 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. are doing.
  • this conventional technology for example, as shown in FIG. 14, in a static environment 1400 where there are only stationary objects such as a building 1403, a communication terminal is sent from a base station 1401 based on an actual measured value of received power obtained in advance. The received power received by 1402 can be predicted.
  • the received power prediction system 1 is configured to be able to predict the received power received by the communication terminal 1402 in a dynamic environment 1500 where a mobile body exists, taking into account the interruption of radio waves by the mobile body. , for example, has a system configuration shown in FIG. 1 or FIG. 4.
  • FIG. 1 is a diagram showing an example of a system configuration of a received power prediction system according to this embodiment.
  • received power prediction system 1 is realized by received power prediction device 100.
  • the received power prediction device 100 is an information processing device having a computer configuration, or a system including multiple computers.
  • the received power prediction device 100 executes a predetermined program on a computer included in the received power prediction device 100 to obtain terminal information acquisition section 101, terminal position prediction section 102, estimated value acquisition section 103, reception power prediction section 104, and communication.
  • the functional configuration of the section 105, the received power estimation section 106, etc. is realized. Note that at least some of the above functional configurations may be realized by hardware.
  • the received power prediction device 100 realizes, for example, an environment information storage unit 111, an estimated value storage unit 112, a terminal information storage unit 113, etc. using a storage device and a memory included in the received power prediction device 100.
  • the reception power prediction device 100 includes the reception power estimation section 106 and the environment information storage section 111, as an example.
  • the received power estimation unit 106 and the environmental information storage unit 111 may be realized by the received power prediction device 100 or an information processing device external to the received power prediction system 1.
  • the terminal information acquisition unit 101 executes a terminal information acquisition process to acquire terminal information including information such as the actual value of the received power of the communication terminal to be predicted and the location of the communication terminal.
  • the received power prediction device 100 can communicate with a communication terminal whose received power is to be predicted via a communication network.
  • the communication terminal adds the actual value of the received power received from the base station measured by the own terminal, terminal information including the position of the own terminal, and requests information requesting acquisition of the predicted value of the received power. is transmitted to the received power prediction device 100.
  • the terminal information acquisition unit 101 acquires information such as the actual value of the communication terminal received power and the position of the communication terminal from the request information that the communication unit 105 receives from the communication terminal.
  • the terminal position prediction unit 102 is a terminal that predicts the predicted position of the communication terminal after a predetermined time (t seconds) has elapsed from the current time based on the position of the communication terminal included in the terminal information acquired by the terminal information acquisition unit 101. Execute position prediction processing. For example, the location information acquisition unit 401 stores (accumulates) terminal information acquired from a communication terminal in the terminal information storage unit 113. Furthermore, the terminal position prediction unit 102 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 information storage unit 113, for example, by linear prediction or the like.
  • the terminal position prediction unit 102 may be included in the communication terminal.
  • the terminal position prediction unit 102 of the communication terminal calculates a predetermined period of time based on the current position of the communication terminal and the movement (moving direction, moving speed, etc.) of the communication terminal measured by sensors such as an acceleration sensor and an angle sensor.
  • the predicted position of the communication terminal after (t seconds) has elapsed is calculated.
  • the communication terminal adds the calculated predicted position after the predetermined time has elapsed to the terminal information, and transmits request information requesting acquisition of the predicted value of the received power to the received power prediction device 100.
  • the estimated value acquisition unit 103 executes an estimated value acquisition process to acquire the estimated value of the received power at the predicted position of the communication terminal predicted by the terminal position prediction unit 102.
  • the estimated value storage unit 112 of the received power prediction device 100 stores in advance estimated values of received power calculated (or measured) in advance at a plurality of evaluation points.
  • the estimated value acquisition unit 103 acquires, for example, the estimated value of the received power at the evaluation point closest to the predicted position of the communication terminal from the estimated value storage unit 112.
  • the estimated value acquisition unit 103 may calculate the estimated value of the received power at the predicted position of the communication terminal by linear interpolation or the like from the estimated value of the received power at a plurality of evaluation points around the predicted position of the communication terminal. good.
  • the received power prediction device 100 estimates the estimated value of the received power at the predicted position of the communication terminal based on static environmental information stored in advance in the environmental information storage unit 111 and the position of the base station.
  • the estimated value of the received power may be obtained from the received power estimator 106.
  • the received power prediction unit 104 uses the actual measured value of the received power of the terminal device acquired by the terminal information acquisition unit 101 and the estimated value of the received power acquired by the estimated value acquisition unit 103 to calculate the received power after a predetermined time has elapsed. Execute received power prediction processing to predict received power of a communication terminal. As an example, the received power prediction unit 104 uses time-series data of actual measured values of received power and time-series data of estimated values of received power to perform a time-series prediction method such as RNN (Recurrent Neural Network). , predict the received power of the communication terminal after a predetermined period of time has elapsed.
  • RNN Recurrent Neural Network
  • the received power prediction unit 104 uses time-series data of actually measured values of received power and estimated values of received power after a predetermined period of time to calculate a predetermined value using a time-series prediction method such as RNN.
  • the reception power of the communication terminal after the elapse of time may be predicted.
  • the communication unit 105 executes communication processing to communicate with a communication terminal via a base station or the like included in the communication network.
  • the received power estimating unit 106 executes received power estimation processing to estimate received power estimates at a plurality of evaluation points based on static environmental information stored in advance in the environmental information storage unit 111 and the location of the base station. do.
  • the environmental information storage unit 111 stores in advance static environmental information of the area where the received power is to be predicted.
  • Estimated value storage section 112 stores estimated values of received power at a plurality of evaluation points estimated by received power estimation section 106. Note that the estimated value storage unit 112 may store in advance estimated values of received power at a plurality of evaluation points estimated by another information processing device different from the received power prediction device 100.
  • the terminal information storage unit 113 stores a history of terminal information (actual measured value of received power, location of a communication terminal, etc.) acquired by the terminal information acquisition unit 101.
  • FIG. 2 is a diagram for explaining pre-processing according to this embodiment.
  • the received power prediction device 100 stores in advance, in the estimated value storage unit 112, estimated values of the received power at a plurality of evaluation points, which are estimated through pre-processing as shown in FIG.
  • the received power estimation unit 106 that performs the pre-processing may be included in the received power prediction device 100, or may be included in another information processing device different from the received power prediction device 100.
  • the received power estimation unit 106 estimates the static environment from a building DB (Database) (or map DB) 211 representing the structure of the building 201, CAD (Computer Aided Design) data 212, BIM (Building Information Modeling) data 213, etc. Information is acquired (step S1).
  • a building DB Database
  • map DB Map DB
  • Information is acquired (step S1).
  • the received power estimating unit 106 sets a plurality of evaluation points 202 and the position of the base station 203 in the building 201, which is an example of a predetermined area, and the reception power estimating unit 106 Calculate the power estimate. For example, the received power estimation unit 106 calculates the received power from the base station 203 at each evaluation point 202 using a known radio wave propagation simulation technique such as ray tracing. Note that ray tracing is also called ray tracing.
  • the received power estimating unit 106 is not limited to ray tracing, but uses other radio wave propagation simulation techniques, approximate expressions based on actual measured values, etc. to estimate the estimated value of the received power at the plurality of evaluation points 202. You can. Further, the estimated values of the received power at the plurality of evaluation points 202 stored in the estimated value storage section 112 may be actual measured values of the received power at each evaluation point 202, or the like.
  • FIG. 3 is a diagram for explaining an overview of received power prediction processing according to the present embodiment. This process outlines a received power prediction process in which the received power prediction device 100 predicts the received power of the communication terminal to be predicted after t seconds (after a predetermined time has elapsed).
  • the terminal information acquisition unit 101 of the received power prediction device 100 acquires terminal information including the actual measured value of the received power of the communication terminal, the position of the communication terminal, etc. from the communication terminal to be predicted (step S11).
  • the terminal position prediction unit 102 of the received power prediction device 100 predicts the predicted position 301 of the communication terminal after t seconds based on the acquired position of the communication terminal (step S12).
  • the location information acquisition unit 401 stores (accumulates) the location of the communication terminal acquired from the communication terminal in the terminal information storage unit 113.
  • the terminal position prediction unit 102 predicts the predicted position 301 of the communication terminal after t seconds based on the history of the position of the communication terminal stored in the terminal information storage unit 113, for example, by linear prediction.
  • the estimated value acquisition unit 103 of the received power prediction device 100 acquires the estimated value of the received power at the predicted position 301 of the communication terminal after t seconds, predicted by the terminal position prediction unit 102 (step S13). For example, the estimated value acquisition unit 103 acquires the estimated value of the received power corresponding to the predicted position 301 of the communication terminal from the estimated value storage unit 112.
  • the received power prediction unit 104 of the received power prediction device 100 calculates the value for t seconds based on the estimated value of the received power acquired by the estimated value acquisition unit 103 and the actual measured value of the received power acquired by the terminal information acquisition unit 101.
  • the received power of the subsequent communication terminal is predicted (step S14).
  • the received power prediction unit 104 uses the time series data of the actual measured value of the received power and the time series data of the estimated value of the received power, and uses a time series prediction method such as RNN to predict the time after t seconds (predetermined time). predict the received power of the communication terminal after Note that details of the method for predicting received power by received power prediction section 104 will be described later.
  • the received power prediction system 1 uses the received power estimated based on static environmental information as the estimated value of the received power at the predicted position of the communication terminal after a predetermined period of time has elapsed. .
  • the received power prediction system 1 uses an estimated value of received power and an actual measured value of received power that indicates dynamic received power fluctuations, thereby taking into account dynamic received power fluctuations. Predict the received power of the communication terminal after the elapse of time.
  • Communication terminal 400 may have at least some of the functional configurations that reception power prediction device 100 has.
  • FIG. 4 shows another example of the system configuration of the received power prediction system according to this embodiment.
  • the received power prediction system 1 includes a received power prediction device 100 and a communication terminal 400 that can communicate with the received power prediction device 100 via the communication network 2.
  • the communication terminal 400 not the received power prediction device 100, has the terminal position prediction unit 102 described in FIG.
  • the communication terminal 400 is a wireless communication terminal device having a computer configuration.
  • the communication terminal 400 realizes the functional configuration of the position information acquisition unit 401, the terminal position prediction unit 102, the communication unit 402, etc. by executing a predetermined program on a computer included in the communication terminal 400. Note that at least some of the above functional configurations may be realized by hardware.
  • the location information acquisition unit 401 acquires location information indicating the current location of the communication terminal 400, 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.
  • GPS Global Positioning System
  • the terminal position prediction unit 102 executes, on the communication terminal 400 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 102 predicts the position of the communication terminal 400 after a predetermined time has elapsed, based on the history of the position of the communication terminal 400 acquired by the position information acquisition unit 401, for example, by linear prediction or the like.
  • the terminal position prediction unit 102 calculates a predetermined time (t seconds) based on the current position of the communication terminal 400 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 communication terminal 400 may be calculated after .
  • the communication unit 402 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 received power prediction device 100 and the like.
  • the communication unit 402 includes, in the request information requesting the received power prediction device 100 to predict the received power, the actual value of the received power of the communication terminal 400, the position of the communication terminal, and the position of the communication terminal after a predetermined period of time. Terminal information including predicted position etc. is added and transmitted to received power prediction device 100. Furthermore, the communication unit 402 receives the received power prediction result transmitted by the received power prediction device 100.
  • the received power prediction device 100 adds the actual measured value of the received power of the communication terminal 400, the position of the communication terminal 400, and the request information that the communication unit 105 receives from the communication terminal 400 after a predetermined period of time has elapsed. Information such as the predicted position of the communication terminal 400 is included. Therefore, received power prediction device 100 does not need to include terminal position prediction section 102 and the like.
  • each functional configuration included in the received power prediction device 100 described in FIG. 1 only needs to be included in the received power prediction system 1, and may be included in other devices within the system.
  • FIG. 5 is a flowchart illustrating an example of pre-processing according to the first embodiment. This process shows a specific example of the pre-processing described in FIG. 2.
  • step S501 the received power estimation unit 106 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, three-dimensional coordinate information indicating the positions of objects that basically do not move, such as buildings, walls, floors, etc.
  • step S502 the received power estimation unit 106 sets the position of the base station 203 in static environmental information of a predetermined area, for example, as shown in FIG.
  • step S503 the received power estimating unit 106 sets a plurality of evaluation points 202 in the static environmental information of a predetermined area, as shown in FIG. 2, for example.
  • the received power estimation unit 106 calculates estimated values of received power at the plurality of evaluation points 202 by radio wave propagation estimation such as ray tracing.
  • radio wave propagation estimation such as ray tracing.
  • ray tracing radio waves (rays) transmitted from a transmitting point are reflected or diffracted by structures along the way and arrive at a receiving point, which is traced as the trajectory of each ray, and all rays that have reached the receiving point are traced.
  • the strength of the radio wave at the receiving point is calculated by adding the power of
  • step S505 the received power estimating unit 106 stores the calculated estimated values of the received power at the plurality of evaluation points 202 in a storage unit such as the estimated value storage unit 112, for example.
  • the received power estimating section 106 can acquire the estimated values of the received power at the plurality of evaluation points 202, which are stored in the estimated value storage section 112.
  • FIG. 6 is a flowchart illustrating an example of received power prediction processing according to the first embodiment. This process shows an example of the received power prediction process executed by the received power prediction system 1 having the functional configuration shown in FIG. 1 or 4, for example. It is assumed that at the start of the process shown in FIG. 6, the estimated value storage unit 112 stores the estimated values of the received power at the plurality of evaluation points 202 estimated in the process shown in FIG.
  • step S601 the terminal information acquisition unit 101 acquires the actual measured value of the received power of the communication terminal to be predicted and the position of the communication terminal. For example, the terminal information acquisition unit 101 acquires the actual measured value of received power included in the terminal information that the communication terminal transmits to the received power prediction device 100 and the position of the communication terminal.
  • the terminal position prediction unit 102 predicts the predicted position of the communication terminal after t seconds (after a predetermined time has elapsed). For example, the terminal position prediction unit 102 stores the history of the position of the communication terminal acquired by the terminal information acquisition unit 101 in the terminal information storage unit 113. Furthermore, the terminal position prediction unit 102 predicts the predicted position of the communication terminal after a predetermined period of time has elapsed, based on the history of the position of the communication terminal stored in the terminal information storage unit 113, for example, by linear prediction or the like.
  • the estimated value acquisition unit 103 acquires the estimated value of the received power at the predicted position of the communication terminal.
  • estimated value acquisition section 103 acquires from estimated value storage section 112 an estimated value of received power corresponding to the predicted position of the communication terminal.
  • the received power prediction unit 104 uses the actual value of the received power of the communication terminal acquired by the terminal information acquisition unit 101 and the estimated value of the received power after t seconds acquired by the estimated value acquisition unit 103. , predict the received power of the communication terminal after t seconds. For example, as shown in FIG. 7, the received power prediction unit 104 sends the RNN (Recurrent Neural Network) 701 to time-series data of the estimated value of the received power after t seconds and time-series data of the actual measured value of the received power. is input to obtain the predicted value of the received power after t seconds.
  • RNN Recurrent Neural Network
  • the RNN 701 is a neural network (NN) that can handle time-series data as input data.
  • the RNN 701 uses the time series data of the estimated value of the received power after t seconds and the time series data of the actual measured value of the received power as input data, and the actual value of the received power measured after t seconds as the correct data. It is machine learned.
  • the received power prediction unit 104 inputs the time series data of the estimated value of the received power after t seconds and the time series data of the actual measured value of the received power after t seconds into the trained RNN 701. A predicted value of power can be obtained.
  • the time series data of the estimated value of the received power after t seconds is, for example, as shown in FIG. It can be obtained by converting estimated values of received power at a plurality of predicted positions into time-series data.
  • time series data of the actual measured value of the received power is, for example, the actual measured value of the received power periodically transmitted from the communication terminal is stored in the terminal information storage unit 113;
  • the actual measured value of the received power can be time series data of the actual measured value of the received power.
  • the communication terminal when transmitting request information requesting prediction of received power after t seconds to received power prediction device 100, the communication terminal transmits time-series data of the actual measured value of received power and the position of the communication terminal. It is also possible to add time-series data, etc. and send it.
  • the received power prediction device 100 generates time-series data of the predicted position of the communication terminal and estimated values of the received power at each predicted position, as shown in FIG. 8, based on the time-series data of the position of the communication terminal. Time series data may also be obtained.
  • FIG. 9 shows an example of the prediction result of received power after a predetermined period of time according to the present embodiment.
  • the received power prediction system 1 predicts a predicted value 901 of received power 5 seconds later, and a measured value 901 of received power actually measured 5 seconds later (correct answer). data 902).
  • the received power prediction system 1 even if an obstacle exists, the received power after 5 seconds can be accurately predicted.
  • the received power prediction unit 104 may use an RNN 1001 as shown in FIG. 10 instead of the RNN 701 described in FIG. 7 to predict the received power after a predetermined time has elapsed.
  • the estimated value of received power after t seconds is not used as time series data, but the estimated value of received power at the predicted position of the communication terminal after t seconds is used as input data.
  • the received power prediction unit 104 uses the time series data of the actual measured value of the received power and the estimated value of the received power after a predetermined time has elapsed to predict a predetermined value using a time series prediction method such as RNN.
  • the reception power of the communication terminal after a certain period of time may be predicted.
  • Example 3 In Examples 1 and 2, estimated values of received power at a plurality of evaluation points were stored in advance in the estimated value storage unit 112 through pre-processing. In the third embodiment, an example of processing when no pre-processing is performed will be described.
  • FIG. 11 is a flowchart illustrating an example of received power prediction processing according to the third embodiment. This process shows another example of the received power prediction process executed by the received power prediction system 1 as shown in FIG. 1 or 4, for example.
  • the processes in steps S601, S602, and S604 may be the same as the received power prediction process according to the first embodiment described in FIG. 6.
  • the received power prediction system 1 according to the third embodiment executes the processing in steps S1101 to S1103 in FIG. 11 instead of the processing in step S603 in FIG.
  • step S1101 the received power estimating unit 106 acquires static environmental information of a predetermined area whose received power is to be predicted from the environmental information storage unit 111 or the like.
  • step S1102 the received power estimation unit 106 sets the position of the base station in the acquired environmental information.
  • the received power estimating unit 106 calculates the estimated value of the received power at the predicted position of the communication terminal after t seconds by estimating radio wave propagation such as ray tracing, for example.
  • the estimated value acquisition unit 103 acquires the estimated value of the received power at the predicted position of the communication terminal after t seconds from the received power estimation unit 106 instead of the estimated value storage unit 112. Can be done.
  • the received power prediction system 1 may predict the predicted value of the received power of the communication terminal after a predetermined period of time has elapsed without performing any pre-processing.
  • FIG. 12 is a diagram showing an example of the hardware configuration of the prediction device according to this embodiment.
  • the received power prediction device 100 includes, for example, the configuration of a computer 1200 as shown in FIG. 12.
  • the computer 1200 includes a processor 1201, a memory 1202, a storage device 1203, a communication device 1204, an input device 1205, an output device 1206, a bus B, and the like.
  • the processor 1201 is, for example, an arithmetic device such as a CPU (Central Processing Unit) that implements various functions by executing a predetermined program.
  • Memory 1202 is a storage medium readable by computer 1200, and includes, for example, RAM (Random Access Memory), ROM (Read Only Memory), and the like.
  • the storage device 1203 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 1204 includes one or more hardware (communication devices) for communicating with other devices via a wireless or wired network.
  • the input device 1205 is an input device (eg, keyboard, mouse, microphone, switch, button, sensor, etc.) that accepts input from the outside.
  • the output device 1206 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 1205 and the output device 1206 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.
  • the processor 1201 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).
  • FIG. 13 is a diagram illustrating an example of the hardware configuration of a communication terminal according to this embodiment.
  • the communication terminal 400 includes, for example, a GPS device 1301, a sensor 1302, and the like.
  • the GPS device 1301 is a positioning device that receives positioning signals transmitted by GPS satellites and outputs position information indicating the current position of the communication terminal 400.
  • the sensor 1302 is, for example, a detection device such as an acceleration sensor or an angle sensor that detects the movement of the communication terminal 400.
  • the received power prediction device 100 and the communication terminal 400 in this embodiment are not limited to being implemented by dedicated devices, 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.
  • the "computer system” herein includes hardware such as an OS and peripheral devices.
  • 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.
  • 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.
  • 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).
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • ⁇ Effects of embodiment> it is possible to provide a received power prediction system 1 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.
  • the received power prediction system 1 uses the received power estimated based on static environmental information as the estimated value of the received power at the predicted position of the communication terminal after a predetermined time has elapsed. use In addition, the received power prediction system 1 uses the estimated value of received power and the actual measured value of received power that indicates dynamic received power fluctuations, thereby taking into account dynamic received power fluctuations. Predict the received power of a communication terminal after time has elapsed. Thereby, according to the received power prediction system 1 according to the present embodiment, in a dynamic environment where a mobile body exists, the received power of a communication terminal can be predicted by taking into account the interruption of radio waves by the mobile body. .
  • wireless communication such as switching the accommodation destination (wireless base station) of communication terminals due to deterioration of communication quality, controlling communication parameters, or changing the driving route of self-driving cars, etc. Or it becomes possible to use the application stably.
  • a received power prediction system that predicts received power of a communication terminal after a predetermined time has elapsed, the system comprising: a terminal information acquisition unit configured to acquire an actual measured value of received power of the communication terminal and a position of the communication terminal; a terminal position prediction unit configured to predict a predicted position of the communication terminal after the predetermined time has elapsed based on the position of the communication terminal; an estimated value obtaining unit configured to obtain an estimated value of received power at a predicted position of the communication terminal; a received power prediction unit configured to predict the received power of the communication terminal after the predetermined time has elapsed using the actual measured value of the received power and the estimated value of the received power; A received power prediction system.
  • the received power prediction unit uses the time series data of the actual measured value of the received power and the time series data of the estimated value of the received power to predict the received power after the predetermined time has elapsed by the time series prediction method. 2.
  • the received power prediction system according to claim 1 which predicts received power of a communication terminal.
  • the received power prediction unit calculates the predetermined time by the time series prediction method using time series data of the actual measured value of the received power and an estimated value of the received power after the predetermined time has elapsed.
  • the received power prediction system according to claim 1 which predicts the received power of the communication terminal after a certain period of time has elapsed.
  • the estimated value acquisition unit acquires the estimated value of received power at the predicted position of the communication terminal from a storage unit that stores received power calculated or measured at a plurality of evaluation points in advance.
  • the received power prediction system according to any one of the above.
  • the estimated value acquisition unit includes a received power estimation unit that estimates an estimated value of received power at the predicted position of the communication terminal based on static environmental information and a base station position.
  • the received power prediction system according to any one of items 1 to 3, which obtains an estimated value of received power.
  • a received power prediction device that predicts received power of a communication terminal after a predetermined time has elapsed, a terminal information acquisition unit configured to acquire an actual measured value of received power of the communication terminal and a position of the communication terminal; a terminal position prediction unit configured to predict a predicted position of the communication terminal after the predetermined time has elapsed based on the position of the communication terminal; an estimated value obtaining unit configured to obtain an estimated value of received power at a predicted position of the communication terminal; Received power prediction configured to predict the received power of the communication terminal after the predetermined time has elapsed using a time series prediction method using the actual measured value of the received power and the estimated value of the received power.
  • a received power prediction device comprising: (Section 7) A received power prediction system that predicts the received power of a communication terminal after a predetermined period of time has passed. a process of acquiring an actual measured value of received power of the communication terminal and a position of the communication terminal; A process of predicting a predicted position of the communication terminal after the predetermined time has elapsed based on the position of the communication terminal; a process of obtaining an estimated value of received power at the predicted position of the communication terminal; A process of predicting the received power of the communication terminal after the predetermined time has elapsed using a time-series prediction method using the actual measured value of the received power and the estimated value of the received power; A method for predicting received power. (Section 8) A program that causes a computer to execute the received power prediction method according to item 7.
  • Received power prediction system 100 Received power prediction device 101 Terminal information acquisition unit 102 Terminal position prediction unit 103 Estimated value acquisition unit 104 Received power prediction unit 106 Received power estimation unit 112 Estimated value storage unit (storage unit) 400 Communication terminal 1200 Computer

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PCT/JP2022/026870 2022-07-06 2022-07-06 受信電力予測システム、受信電力予測装置、受信電力予測方法、及びプログラム Ceased WO2024009440A1 (ja)

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US18/872,001 US20250337510A1 (en) 2022-07-06 2022-07-06 Received signal power prediction system, received signal power prediction apparatus, received signal power prediction method, and program
PCT/JP2022/026870 WO2024009440A1 (ja) 2022-07-06 2022-07-06 受信電力予測システム、受信電力予測装置、受信電力予測方法、及びプログラム

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020217457A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信システム及び基地局
JP2022039617A (ja) * 2020-08-28 2022-03-10 株式会社Ｋｄｄｉ総合研究所 時系列予測システム、時系列予測方法及びコンピュータプログラム
JP2022063929A (ja) * 2020-10-13 2022-04-25 株式会社デンソー 電波マップ更新装置、及び通信品質特定装置
WO2022097270A1 (ja) * 2020-11-06 2022-05-12 日本電信電話株式会社 学習方法、無線品質推定方法、学習装置、無線品質推定装置、及びプログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020217457A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信システム及び基地局
JP2022039617A (ja) * 2020-08-28 2022-03-10 株式会社Ｋｄｄｉ総合研究所 時系列予測システム、時系列予測方法及びコンピュータプログラム
JP2022063929A (ja) * 2020-10-13 2022-04-25 株式会社デンソー 電波マップ更新装置、及び通信品質特定装置
WO2022097270A1 (ja) * 2020-11-06 2022-05-12 日本電信電話株式会社 学習方法、無線品質推定方法、学習装置、無線品質推定装置、及びプログラム

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