Wireless space design device, wireless space design method, wireless space design system, and wireless space design program

Abstract

The present disclosure relates to a wireless space design device, a wireless space design method, a wireless space design device, and a wireless space design program. This wireless space design device is configured to execute: a process in which an information acquisition score that indicates an information acquisition performance is calculated on the basis of a spatial model and a sensor position pattern candidate; a process in which a process for calculating radio wave propagation scores for the spatial model and a plurality of base station position candidates is repeated for all sensor position pattern candidates, and the maximum value of the radio wave propagation scores for each of a plurality of sensor position pattern candidates is calculated; a process in which composite scores are calculated on the basis of information acquisition scores and the maximum values; a process in which, out of all of the composite scores, a prescribed number of composite scores are extracted in order of highest value; and a process in which the base station positions and the sensor position patterns corresponding to the extracted composite scores are output as the base station positions and the sensor position patterns that apply to a base station design.

Description

Wireless space design device, wireless space design method, wireless space design system, and wireless space design program

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

[0002] Non-Patent Document 1 discloses a method for designing wireless communication base stations that optimizes base station placement from the perspective of radio wave propagation. In this method, a virtual base station is first set on a 3D map, and then a radio wave propagation simulation is performed. Next, the communication quality of a communication terminal placed at an arbitrary position on the 3D map is calculated. Furthermore, by determining the placement of the base station based on the calculated communication quality, the base station placement can be optimized from the perspective of radio wave propagation.

[0003] On the other hand, when designing a base station, factors other than radio wave propagation must be considered in addition to radio wave propagation factors. For example, consider a case where a wireless terminal communicating with a base station acquires information using a sensor. In this case, optimizing the performance of information acquisition using the sensor is also an element that must be considered in the base station design.

[0004] Zhao et.al, “Indoor Access Points Location Optimization using Differential Evolution”, International Conference on Computer Science and Software Engineering, 2008.Nagata et.al, “5G Throughput Prediction For 28 GHz Channels Using Physical Space Information”, WCNC, 2024.Cao et.al, “ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments”, SECON, 2022

[0005] However, the above-mentioned method only allows for base station design that takes into account radio wave propagation factors, and therefore has the problem of not being able to realize base station design that takes into account factors related to information acquisition performance using sensors.

[0006] In order to solve the above-mentioned problems, the present disclosure aims to provide a wireless space design device that can optimize base station positions by taking into account not only radio wave propagation but also information acquisition performance using sensors.

[0007] A first aspect of the present disclosure is preferably a wireless space design device configured to perform the following processes: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor location patterns; calculating a radio wave propagation score for the spatial model and multiple candidate base station locations, repeating this process for all candidate sensor location patterns and calculating a maximum value of the radio wave propagation score for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores from all the total scores in descending order; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as base station location and sensor location patterns to be applied to base station design.

[0008] Furthermore, a second aspect of the present disclosure is preferably a wireless space design method comprising: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor location patterns; calculating radio wave propagation scores for the spatial model and multiple candidate base station locations; repeating this process for all candidate sensor location patterns to calculate a maximum value of the radio wave propagation score for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores in descending order from all the total scores; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as base station location and sensor location patterns to be applied to base station design.

[0009] Furthermore, a third aspect of the present disclosure is preferably a wireless space design system configured to perform the following processes: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor location patterns; calculating a radio wave propagation score for the spatial model and multiple candidate base station locations, repeating this process for all candidate sensor location patterns and calculating the maximum value of the radio wave propagation score for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores from all the total scores in descending order; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as base station location and sensor location patterns to be applied to base station design.

[0010] Furthermore, a fourth aspect of the present disclosure is preferably a wireless communication program to be executed by a wireless space design apparatus having a processor and a memory, the program being stored in the memory and computer-readable, and including a program for causing the processor to execute the following processes: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor position patterns; calculating a radio wave propagation score for the spatial model and multiple candidate base station positions, repeating this process for all candidate sensor position patterns and calculating a maximum value of the radio wave propagation score for each of the multiple candidate sensor position patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores from all the total scores in descending order; and outputting the base station position and sensor position patterns corresponding to the extracted total scores as base station position and sensor position patterns to be applied to base station design.

[0011] According to the first to fourth aspects of the present disclosure, it is possible to realize optimization of base station positions taking into consideration not only radio wave propagation but also information acquisition performance using sensors.

[0012] Fig. 1 is a diagram illustrating a configuration example of a wireless space design apparatus according to a first embodiment of the present disclosure. Fig. 2 is a diagram illustrating a hardware configuration of a wireless space design apparatus according to a first embodiment of the present disclosure. Fig. 3 is a diagram illustrating a configuration example of a wireless space design apparatus according to a second embodiment of the present disclosure. Fig. 4 is a diagram illustrating an example according to the second embodiment of the present disclosure.

[0013] Each embodiment will be described with reference to the drawings. The same or corresponding components will be designated by the same reference numerals, and repeated description may be omitted.

[0014] 1 is a diagram illustrating a configuration example of a wireless space design apparatus according to a first embodiment of the present disclosure. The wireless space design apparatus 100 includes a space model generation unit 10. The space model generation unit 10 generates a space model for designing a base station. The space model is, for example, a 3D model.

[0015] The space model may be generated based on, for example, sensor signals actually acquired in the space where the base station is designed, or may be generated by CAD or the like based on a design drawing.

[0016] The space model generation unit 10 transmits the created space model to the propagation estimation unit 21 included in the simulator unit 20. The propagation estimation unit 21 first calculates radio wave propagation scores for the received space model and multiple base station position candidates.

[0017] An example of calculation of the radio wave propagation score is shown below. The radio wave propagation score is calculated based on, for example, radio wave propagation simulation. The radio wave propagation simulation is, for example, ray tracing.

[0018] Furthermore, the radio wave propagation simulation is performed for each specific sensor position pattern as many times as there are candidate base station positions. For example, if there are five candidate base station positions, the radio wave propagation simulation is performed five times for each specific sensor position pattern.

[0019] The propagation estimation unit 21 calculates a radio wave propagation score based on each result of the acquired radio wave propagation simulation. For example, the higher the coverage, the higher the radio wave propagation score. Coverage is the size of the range that radio waves from a base station can reach. Coverage can be calculated based on, for example, the value of received power or throughput, or the volume of the area where these values ​​are equal to or greater than a threshold.

[0020] Note that the radio wave propagation score is calculated for each obtained radio wave propagation simulation result. In other words, if five radio wave propagation simulations are performed, five radio wave propagation scores are calculated. The base station location candidates may be input by the user or automatically generated. Similarly, the sensor location pattern candidates may be input by the user or automatically generated.

[0021] Next, the propagation estimating unit 21 repeats the calculation of the radio wave propagation score for all candidate patterns of the sensor position. For example, if there are four candidate patterns of the sensor position, a total of 20 radio wave propagation scores are calculated.

[0022] Next, the propagation estimating unit 21 calculates the maximum value of the radio wave propagation score for each of the multiple sensor position pattern candidates. For example, if there are four sensor position pattern candidates, four maximum values ​​of the radio wave propagation score are calculated.

[0023] The propagation estimating unit 21 transmits to the multimodal processing unit 23 the maximum value of each calculated radio wave propagation score and the pattern of base station positions and sensor positions corresponding to each maximum value of each radio wave propagation score.

[0024] The space model generation unit 10 also transmits the created space model to the sensor estimation unit 22 included in the simulator unit 20. The sensor estimation unit 22 calculates an information acquisition score based on the received space model and candidate sensor position patterns. The information acquisition score is a value indicating information acquisition performance.

[0025] The sensor position pattern is a pattern of positions where sensors are arranged in a wireless space. For example, the sensor position pattern is a placement pattern of surveillance cameras in the wireless space. The sensor position pattern may be a pattern that takes into account not only the positions of the sensors but also the orientations of the sensors.

[0026] An example of calculating the information acquisition score is shown below. The information acquisition score is calculated based on, for example, a simulation of information acquisition performance. The information acquisition performance is, for example, the performance of acquiring information using a sensor. The simulation of information acquisition performance using a sensor is, for example, image generation using visible light rendering or three-dimensional point cloud generation.

[0027] Furthermore, the simulation of information acquisition performance is performed as many times as there are candidate patterns of sensor positions. For example, if there are four candidate patterns of sensor positions, the simulation of information acquisition performance is also performed four times.

[0028] The sensor estimation unit 22 calculates an information acquisition score based on each result of the simulation of the acquired information acquisition performance. The information acquisition score is set to a higher score, for example, the larger the overlapping or combined range of the fields of view of the multiple cameras is, or the higher the success rate of object detection based on the camera images is.

[0029] The information acquisition score is calculated for each simulation result of the acquired information acquisition performance. In other words, if four information acquisition performances are performed, four information acquisition scores are calculated. The sensor position pattern candidates may be input by the user or automatically generated.

[0030] The sensor estimation unit 22 transmits each calculated information acquisition score and the sensor position pattern corresponding to each information acquisition score to the multimodal processing unit 23.

[0031] The multimodal processing unit 23 calculates a total score based on the maximum value of the received radio wave propagation scores and the received information acquisition scores. The total score may be, for example, the sum of the maximum value of the radio wave propagation scores and the information acquisition scores. The total score may also be calculated by weighting scores related to factors that are to be emphasized in base station design. For example, if emphasis is to be placed on information acquisition performance using a sensor, the total score may be calculated by adding twice the value of the information acquisition score to the maximum value of the radio wave propagation scores.

[0032] The multimodal processing unit 23 transmits each calculated overall score and the patterns of base station positions and sensor positions corresponding to each overall score to the position optimization unit 30. The position optimization unit 30 extracts a specified number of overall scores from all the received overall scores in descending order of value.

[0033] The above-mentioned specified number may be 1 or may be a number equal to or greater than 1. In other words, the overall score extracted by the position optimization unit 30 may be only the highest overall score, or may be a specified number of overall scores extracted in descending order of highest.

[0034] The location optimization unit 30 transmits the extracted overall score and the pattern of base station locations and sensor locations corresponding to the extracted overall score to the candidate output unit 40. The candidate output unit 40 outputs the pattern of base station locations and sensor locations corresponding to the received overall score as a pattern of base station locations and sensor locations to be applied to base station design.

[0035] Although the embodiment in which the spatial model is generated by the spatial model generating unit 10 has been described above, the present invention is not limited to this. For example, the user may input a generated spatial model.

[0036] 2 is a diagram illustrating a hardware configuration of a wireless space design apparatus according to a first embodiment of the present disclosure. Some or all of the functions of the wireless space design apparatus 100 may be configured by hardware such as a programmable logic device (PLD) or a field programmable gate array (FPGA), or may be configured as a program executed by a processor such as a CPU.

[0037] For example, the wireless space design apparatus 100 can be realized using a computer and a program, and the program can be recorded on a storage medium or provided via a network.

[0038] 2 , the wireless space design device 100 has an input unit 108, an output unit 101, a communication unit 102, a CPU 103, a memory 104, and an HDD 105 connected via a bus 106, and functions as a computer. The wireless space design device 100 is also configured to input and output data to and from a computer-readable storage medium 107.

[0039] The input unit 108 is, for example, a keyboard and a mouse, etc. The output unit 101 is, for example, a display device such as a display.

[0040] The communication unit 102 is, for example, a communication interface that communicates with a wireless device to be controlled.

[0041] The CPU 103 controls each component of the wireless space design apparatus 100 and performs predetermined processing, etc. The memory 104 and HDD 105 store data, etc.

[0042] The storage medium 107 is capable of storing programs and the like that cause the wireless space design apparatus 100 to execute the functions of the wireless space design apparatus 100. Note that the architecture that configures the wireless space design apparatus 100 is not limited to the example shown in FIG.

[0043] Before describing the effects of the wireless space design device according to the present disclosure, a problem with a wireless space design device according to a comparative example will be described. In wireless communication, it is required to satisfy the communication quality required by the service or system of the wireless communication device.

[0044] Factors that may prevent the communication quality from being met include changes in the positional relationship between the wireless communication device and the base station, or changes in the surrounding environment of the wireless communication device. Changes in the surrounding environment are caused by, for example, the movement of people or objects in the vicinity. In particular, in wireless communication using millimeter wave bands, such as IEEE 802.11ad or 5G cellular communication, changes in the surrounding environment have a significant impact on communication quality.

[0045] A known method for estimating the impact of changes in the surrounding environment on communication quality in millimeter-wave wireless communications is to estimate the impact based on information acquired using a sensor, such as a camera or LiDAR.

[0046] Multimodal information, which combines information acquired using sensors and wireless communication information, is known as information used for this estimation. For example, Non-Patent Document 2 discloses a method for estimating communication quality based on multimodal information. Also, Non-Patent Document 3 discloses a method for estimating the position of a communication terminal based on multimodal information.

[0047] As described above, methods for applying multimodal information to estimation of communication quality or communication terminal location have already been proposed. However, the application of multimodal information to the design of wireless communication base stations is not known.

[0048] Meanwhile, a method using radio wave propagation simulation is known for designing a base station for wireless communication, as disclosed in, for example, Non-Patent Document 1. In this method, a virtual base station is first set on a 3D map, and then a radio wave propagation simulation is performed. Next, the communication quality of a communication terminal placed at an arbitrary position on the 3D map is calculated. Furthermore, by determining the placement of the base station based on the calculated communication quality, the placement of the base station can be optimized from the perspective of radio wave propagation.

[0049] As described above, there are known techniques for designing base stations based on radio wave propagation simulations. However, in base station design, factors other than radio wave propagation must also be considered in addition to radio wave propagation factors. For example, consider a case where a wireless terminal communicating with a base station acquires information using a sensor. In this case, optimizing the performance of information acquisition using the sensor is also an element that must be considered in base station design.

[0050] However, the above-mentioned method only allows for base station design that takes into account radio wave propagation factors, and therefore has the problem of not being able to realize base station design that takes into account factors related to information acquisition performance using sensors.

[0051] Furthermore, when designing a base station that takes into account factors related to the performance of acquiring information using sensors, it is preferable to be able to simultaneously optimize not only the position of the base station but also the sensor position pattern of the sensors that acquire the information.

[0052] The wireless space design apparatus 100 according to this embodiment calculates a total score based on the maximum value of the radio wave propagation score and the received information acquisition score. The wireless space design apparatus 100 according to this embodiment also extracts a predetermined number of total scores in descending order of value from all the received total scores. The wireless space design apparatus 100 according to this embodiment then outputs a base station location and sensor location pattern corresponding to the extracted total score as a base station location and sensor location pattern to be applied to base station design.

[0053] As a result, the wireless space design apparatus 100 according to this embodiment can optimize base station positions by taking into consideration not only radio wave propagation but also the performance of acquiring information using sensors. Furthermore, the wireless space design apparatus 100 according to this embodiment can simultaneously optimize not only the base station positions but also the sensor position patterns.

[0054] A modification of this embodiment will now be described, which is intended to utilize the wireless space design apparatus 100 as a proposal tool tailored to customer requirements.

[0055] As mentioned above, the method disclosed in Non-Patent Document 1 and the like can only realize base station design that takes into account factors of radio wave propagation, and therefore cannot realize base station design that takes into account factors of information acquisition performance using sensors. As a result, the above-mentioned method has a problem in that it cannot realize optimization of base station positions that assume tasks that are performed in parallel with wireless communication.

[0056] The tasks performed in parallel include, for example, estimating communication quality or terminal position based on information from sensors, and stabilizing robot control or video transmission based on the estimated communication quality or terminal position.

[0057] The multimodal processing unit 23 in this modified example transmits to the position optimization unit 30 each calculated overall score and the base station position and sensor position patterns corresponding to each overall score, as well as the information acquisition score corresponding to each overall score.

[0058] In addition, the location optimization unit 30 in this modified example transmits to the candidate output unit 40 the information acquisition score corresponding to the extracted total score, in addition to the extracted total score and the pattern of base station locations and sensor locations corresponding to the extracted total score.

[0059] As a result, the candidate output unit 40 according to the modified example can output the information acquisition score corresponding to the corresponding sensor position pattern in addition to the base station position and sensor position patterns to be applied to the base station design.

[0060] As described above, the information acquisition score is a value that indicates information acquisition performance. In other words, the information acquisition score visualizes the performance of the corresponding task. Therefore, in this modification, it is possible to visualize the performance of a task that is performed in parallel with wireless communication. This visualization makes it possible to realize customer requests to optimize the performance of a specific task.

[0061] As described above, the wireless space design device 100 according to this modification can be used as a proposal tool tailored to customer requests by visualizing the performance of the corresponding tasks.

[0062] In addition to the above-mentioned information, the multimodal processing unit 23 according to this modification may transmit a radio wave propagation score corresponding to each overall score to the position optimization unit 30. In this case, the position optimization unit 30 according to this modification may transmit a radio wave propagation score corresponding to the extracted overall score to the candidate output unit 40 in addition to the above-mentioned information.

[0063] As a result, the candidate output unit 40 according to the modification can output the radio wave propagation score corresponding to the relevant base station position in addition to the patterns of base station positions and sensor positions to be applied to the base station design. In other words, the wireless space design apparatus 100 according to the modification can be used as a proposal tool tailored to a wider range of customer needs by visualizing the performance of radio wave propagation in addition to the performance of the corresponding task.

[0064] 3 is a diagram illustrating a configuration example of a wireless space design apparatus according to a second embodiment of the present disclosure. The wireless space design apparatus 100a differs from the wireless space design apparatus 100 according to the first embodiment in that the wireless space design apparatus 100a calculates a total score for only a part of the base station position candidates and sensor position pattern candidates.

[0065] The radio space design apparatus 100a includes a space model generation unit 10. The space model generation unit 10 transmits the generated space model to a propagation estimation unit 21.

[0066] The propagation estimation unit 21 calculates radio wave propagation scores for the received spatial model and multiple base station position candidates. Next, the propagation estimation unit 21 repeats the calculation of radio wave propagation scores for all sensor position pattern candidates. Next, the propagation estimation unit 21 calculates the maximum radio wave propagation score for each of the multiple sensor position pattern candidates.

[0067] Furthermore, the propagation estimating unit 21 transmits the maximum value of each calculated radio wave propagation score and the patterns of base station positions and sensor positions corresponding to each radio wave propagation score to the candidate selecting unit 24 .

[0068] The candidate selection unit 24 selects a specified number of maximum radio wave propagation scores from among all received maximum radio wave propagation scores in descending order of value. The candidate selection unit 24 transmits the selected maximum radio wave propagation score and the base station position corresponding to the selected radio wave propagation score to the multimodal processing unit 23.

[0069] The spatial model generation unit 10 also transmits the created spatial model to the sensor estimation unit 22. The sensor estimation unit 22 calculates an information acquisition score based on the received spatial model and the candidate sensor position patterns. The sensor estimation unit 22 also transmits the calculated information acquisition scores and the sensor position patterns corresponding to each information acquisition score to the candidate selection unit 25.

[0070] The candidate selection unit 25 selects a predetermined number of information acquisition scores from all the received information acquisition scores in descending order of value. The candidate selection unit 25 transmits the selected information acquisition scores and the sensor position patterns corresponding to the selected information acquisition scores to the multimodal processing unit 23.

[0071] The multimodal processing unit 23 calculates a total score based on the maximum value of the received radio wave propagation scores and the received information acquisition score. Here, the radio wave propagation score received by the multimodal processing unit 23 is the maximum value of the radio wave propagation scores selected by the candidate selection unit 24. Similarly, the information acquisition score received by the multimodal processing unit 23 is the radio wave propagation score selected by the candidate selection unit 25.

[0072] Note that the total score according to this embodiment is calculated for the number of combinations of selected radio wave propagation scores and selected information acquisition scores. That is, the total score according to this embodiment is calculated only for combinations of base station location candidates that are advantageous in terms of radio wave propagation and sensor location pattern candidates that are advantageous in terms of information acquisition performance using sensors. For example, if the number of selected maximum radio wave propagation scores is three and the number of selected information acquisition scores is two, the number of calculated total scores will be six.

[0073] The multimodal processing unit 23 transmits each calculated overall score and the patterns of base station positions and sensor positions corresponding to each overall score to the position optimization unit 30. The position optimization unit 30 extracts a specified number of overall scores from all the received overall scores in descending order of value.

[0074] The location optimization unit 30 transmits the extracted overall score and the pattern of base station locations and sensor locations corresponding to the extracted overall score to the candidate output unit 40. The candidate output unit 40 outputs the pattern of base station locations and sensor locations corresponding to the received overall score as a pattern of base station locations and sensor locations to be applied to base station design.

[0075] As described above, the radio space design apparatus 100a according to this embodiment has the same effects as the radio space design apparatus 100 according to the first embodiment.

[0076] The wireless space design apparatus 100a according to this embodiment also has the effect of significantly reducing the amount of calculation. Position optimization, such as base station design, is formulated as a combinatorial optimization problem. Therefore, when multimodal information is applied to base station design, the amount of calculation increases significantly as the total number of combinations increases. As a result, in an aspect such as the first embodiment, there has been a demand for reducing the amount of calculation when there are a large number of base station position candidates and sensor position pattern candidates.

[0077] The wireless space design device 100a according to this embodiment selects candidate base station locations that are advantageous in terms of radio wave propagation and candidate sensor location patterns that are advantageous in terms of information acquisition performance using sensors, and then calculates a total score, thereby significantly reducing the amount of calculation.

[0078] A specific example according to this embodiment will be described. FIG. 4 is a diagram showing an example according to the second embodiment of the present disclosure. In this example, a case is assumed in which remote monitoring within a factory is performed by multiple autonomously traveling robots. Using this example, a design method for optimizing the base station position and the robot movement route will be described.

[0079] The robot according to this embodiment is equipped with not only a camera for remote monitoring but also a wireless communication terminal and sensors, which are capable of acquiring information on the robot's position, orientation, and surrounding environment.

[0080] Furthermore, in order to stabilize the video transmission by the remote monitoring camera, the robot according to this embodiment uses the technology disclosed in Non-Patent Document 2. This technology predicts the quality of wireless communication based on wireless communication information and the position information of the robot.

[0081] First, a 3D map 10a is generated. The 3D map 10a is a spatial model showing the space within the factory where the robot will travel.

[0082] Next, propagation estimation 21a is performed. In propagation estimation 21a, first, radio wave propagation scores are calculated for the 3D map 10a and a plurality of base station position candidates.

[0083] The radio wave propagation score is calculated based on a radio wave propagation simulation in the 3D map 10a. For example, the radio wave propagation score is set to be higher as the coverage in the 3D map 10a is higher.

[0084] In the propagation estimation 21a, the calculation of the radio wave propagation score is then repeated for all of the candidate patterns of the sensor positions. In the propagation estimation 21a, the maximum value of the radio wave propagation score is then calculated for each of the candidate patterns of the sensor positions.

[0085] Next, candidate selection 24a is performed by selecting a predetermined number of radio wave propagation scores in descending order from the maximum values ​​of all received radio wave propagation scores.

[0086] In parallel with the propagation estimation 21a, a sensor estimation 22a is performed by calculating an information acquisition score based on the received 3D map 10a and candidate sensor position patterns.

[0087] The candidate patterns of sensor positions are candidate patterns of movement routes of multiple robots. The movement route of a robot means the movement pattern of the positions of the sensors mounted on the robot.

[0088] For example, the higher the accuracy of robot position information acquisition, the higher the information acquisition score. Alternatively, the lower the degree of overlap between the movement routes of multiple robots, the higher the information acquisition score. This overlap is an index that indicates that the lower the degree of overlap, the less likely it is that collisions between robots will occur.

[0089] The information acquisition score is calculated based on a simulation of the information acquisition performance using a sensor mounted on the robot, for example, by generating a three-dimensional point cloud from the viewpoint of the sensor mounted on the robot.

[0090] Next, candidate selection 25a is performed by selecting a predetermined number of information acquisition scores from all the received information acquisition scores in descending order of value.

[0091] Next, multimodal processing 23a is performed by calculating a total score based on the maximum value of the radio wave propagation scores selected in candidate selection 24a and the information acquisition scores selected in candidate selection 25a.

[0092] The overall score may be calculated, for example, as a value that takes into account the predicted accuracy of wireless communication quality, or as a value that takes into account the stability of video transmission when using bit rate control based on this prediction, etc.

[0093] Next, location optimization 30a is performed by extracting a predetermined number of total scores from all received total scores in descending order of value.

[0094] Next, candidate output 40a is performed. The candidate output 40a outputs a pattern of base station positions and sensor positions corresponding to the received total score as a pattern of base station positions and sensor positions to be applied to base station design. By applying the combination output in candidate output 40a, it is possible to perform base station design in which the base station position and the robot movement route are optimized.

[0095] Although the present disclosure has shown an example in which one wireless space design device performs all processing, the present disclosure is not limited to this example and may be realized by a wireless space design system including multiple devices. For example, the configurations shown in Fig. 1 or 3 may be configured such that the illustrated elements are processed by different devices.

[0096] 100 Wireless space design device 100a Wireless space design device 104 Memory

Claims

1. A wireless space design device configured to perform the following processes: calculating an information acquisition score that indicates information acquisition performance based on a spatial model and candidate sensor location patterns; repeating the process of calculating radio wave propagation scores for the spatial model and multiple candidate base station location patterns for all candidate sensor location patterns and calculating the maximum value of the radio wave propagation score for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores from all the total scores in descending order of value; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as base station location and sensor location patterns to be applied to base station design.

2. A wireless space design method comprising: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor location patterns; calculating radio wave propagation scores for the spatial model and multiple candidate base station locations, repeating this process for all candidate sensor location patterns and calculating the maximum value of the radio wave propagation scores for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of the total scores from all the total scores in descending order of value; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as the base station location and sensor location patterns to be applied to base station design.

3. A wireless space design system configured to perform the following processes: calculating an information acquisition score that indicates information acquisition performance based on a spatial model and candidate sensor location patterns; repeating the process of calculating a radio wave propagation score for the spatial model and multiple candidate base station location patterns for all candidate sensor location patterns and calculating the maximum value of the radio wave propagation score for each of the multiple candidate sensor location patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of the total scores from all the total scores in descending order of value; and outputting the base station location and sensor location patterns corresponding to the extracted total scores as base station location and sensor location patterns to be applied to base station design.

4. A wireless communication program to be executed by a wireless space design device having a processor and a memory, the program being stored in the memory and computer-readable, and including a program for causing the processor to execute the following processes: calculating an information acquisition score indicating information acquisition performance based on a spatial model and candidate sensor position patterns; repeating the process of calculating radio wave propagation scores for the spatial model and multiple base station position candidates for all candidate sensor position patterns and calculating the maximum value of the radio wave propagation scores for each of the multiple candidate sensor position patterns; calculating a total score based on the information acquisition score and the maximum value; extracting a specified number of total scores from all the total scores in descending order of value; and outputting the base station position and sensor position patterns corresponding to the extracted total scores as base station position and sensor position patterns to be applied to base station design.

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