Information processing system, information processing apparatus, information processing method, and program

Abstract

To estimate the extent by which a plurality of factors are each affecting communication deterioration or communication failure, an information processing system (1) comprises: an acquisition unit (11) that acquires time-series data of a radio wave index value, which is an index of the communication quality of wireless communication; an estimation unit (12) that estimates the intensity of factors of communication quality deterioration which is due to the radio wave propagation environment; and a derivation unit (13) that, in accordance with the estimated intensity of the respective deterioration factors, derives the degree of involvement of the deterioration factors in the deterioration of communication quality.

Description

Technical Field

[0001] The present invention relates to an information processing system, an information processing apparatus, and an information processing method.

Background Art

[0002] In recent years, the standards of wireless communication technology have evolved from 4G to 5G, and the development of next-generation technologies is also underway. With such progress in communication technology, the amount of communication data and communication speed have increased, and the number of users and the scenarios in which users use wireless communication technology have also increased. On the other hand, since communication quality degradation or communication failures occur for various reasons, it is desired to identify the cause before the communication is interrupted and take some measures.

[0003] For example, Patent Document 1 discloses a monitoring system including a monitoring device that acquires an image as surrounding information at a base station, receives terminal information indicating the state of a terminal device, and controls the base station based on a monitoring result of whether there is a factor that degrades the quality of wireless communication between the base station and the terminal device using the acquired image and the received terminal information. Thus, it is said that factors degrading the reception quality in wireless communication can be monitored for each mobile communication terminal.

[0004] Further, Patent Document 2 discloses a wireless communication system that statistically processes the received power and carrier sense information for each wireless terminal, estimates the usage environment of the wireless terminal from the result information of the statistical processing when the number of retransmissions increases, and estimates the failure factor from the estimated usage environment of the wireless terminal. Thus, it is said that a failure caused by the usage environment of a wireless terminal can be estimated.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, the technology described in Patent Document 1 or the technology described in Patent Document 2 is a technology for estimating whether there is a factor that degrades communication or whether there is a factor for a specific communication failure, and it cannot estimate to what extent a plurality of factors affect communication degradation or communication failure.

[0007] One aspect of the present invention has been made in view of the above problems, and an example of its object is to provide a technology for estimating the degree of influence of a plurality of factors on communication degradation or communication failure.

Means for Solving the Problems

[0008] An information processing system according to one aspect of the present invention includes an acquisition unit that acquires time-series data of radio wave index values, which are indicators of the communication quality of wireless communication, an estimation unit that estimates the intensity of each of the degradation factors of the communication quality caused by the radio wave propagation environment according to the acquired time-series data, and a derivation unit that derives the degree of involvement in the degradation of the communication quality for each of the degradation factors according to the intensity of each of the estimated degradation factors.

[0009] An information processing apparatus according to one aspect of the present invention includes an acquisition unit that acquires time-series data of radio wave index values, which are indicators of the communication quality of wireless communication, an estimation unit that estimates the intensity of each of the degradation factors of the communication quality caused by the radio wave propagation environment according to the acquired time-series data, and a derivation unit that derives the degree of involvement in the degradation of the communication quality for each of the degradation factors according to the intensity of each of the estimated degradation factors.

[0010] An information processing method according to one aspect of the present invention includes an acquisition step of acquiring time series data of radio wave index values, which are indicators of communication quality of wireless communication; an estimation step of estimating the intensity of each of the deterioration factors of the communication quality caused by the radio wave propagation environment according to the acquired time series data; and a derivation step of deriving the degree of involvement in the deterioration of the communication quality for each of the deterioration factors according to the intensity of each of the estimated deterioration factors.

Effect of the Invention

[0011] According to one aspect of the present invention, it is possible to provide a technique for estimating the degree of influence of each of a plurality of factors on communication deterioration or communication failure.

Brief Description of the Drawings

[0012]

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Mode for Carrying Out the Invention

[0013] 〔Exemplary Embodiment 1〕 The first exemplary embodiment of the present invention will be described in detail with reference to the drawings. This exemplary embodiment is a basic form of the exemplary embodiments described later.

[0014] (Configuration of Information Processing System) The configuration of the information processing system 1 according to this exemplary embodiment will be described with reference to FIG. 1. FIG. 1 is a block diagram showing the configuration of the information processing system 1.

[0015] As shown in FIG. 1, the information processing system 1 includes an acquisition unit 11, an estimation unit 12, and a derivation unit 13. The acquisition unit 11, the estimation unit 12, and the derivation unit 13 are connected to each other so as to be able to communicate information via an information communication network N such as the Internet. A part or all of the acquisition unit 11, the estimation unit 12, and the derivation unit 13 may be arranged on the cloud.

[0016] The acquisition unit 11 acquires time-series data of radio wave index values, which are indicators of the communication quality of wireless communication. The estimation unit 12 estimates the intensity of each of the factors degrading the communication quality due to the radio wave propagation environment according to the time-series data acquired by the acquisition unit 11. The derivation unit 13 derives the degree of involvement in the degradation of the communication quality for each of the degradation factors according to the intensity of each of the degradation factors estimated by the estimation unit 12. Wireless communication is communication using radio waves, and as an example, it refers to communication in 4G, LTE, 5G, Local 5G, or 6G, etc. The propagation environment is a physical environment or an electromagnetic environment that affects the propagation of radio waves. As an example, it includes things that block radio waves such as mountains or buildings, things that reflect radio waves such as buildings or atmospheric conditions, or multiple radio wave transmission sources, etc. The acquisition unit 11, the estimation unit 12, and the derivation unit 13 are each a form of the acquisition means, the estimation means, and the derivation means described in the claims.

[0017] FIG. 2 is a schematic diagram showing an example of the information processing executed by the acquisition unit 11, the estimation unit 12, and the derivation unit 13. As shown in 201 of FIG. 2, the acquisition unit 11 acquires radio wave index values, which are indicators of communication quality. Note that the communication quality is defined, in wireless communication, as an example, by how accurately the transmitted information is received or at what speed the information is received. The communication quality is defined, for example, by data traffic (throughput), data communication delay time, jitter, hybrid automatic retransmission count, hybrid automatic retransmission excess count, radio link control retransmission count, block error ratio (Block Error Ratio will be described later), packet loss ratio, and bit error ratio, etc. Also, the communication quality may be defined by values related to the received signal of radio waves, such as RSRP [dBm] (RSRP will be described later), RSRQ [dB] (RSRQ will be described later), RSSI [dBm] (RSSI will be described later), SINR [dB] (SINR will be described later), etc. A state where the communication quality is lower than the preferable communication quality is referred to as communication degradation or communication failure. The degradation factor is an individual factor that causes communication degradation or communication failure.

[0018] As shown in 202 of FIG. 2, the estimation unit 12 estimates the intensity of the degradation factor (hereinafter also referred to as "degradation factor intensity"). The degradation factor intensity is an index that affects the magnitude of degradation caused by the degradation factor. As an example, the estimation unit 12 estimates, as the degradation factor intensity, the degradation factor intensity related to attenuation due to the distance of radio waves, the degradation factor intensity related to attenuation due to shielding, the degradation factor intensity related to fading, and the like. Note that the types of degradation factor intensity are not limited to the example shown in 202 of FIG. 2.

[0019] 203 in FIG. 2 is an example of the degree of involvement derived by the derivation unit 13 for each radio wave degradation factor. In this exemplary embodiment, the degree of involvement refers to a ratio or value indicating the extent of influence on the degradation of communication quality and the like. In this example, the derivation unit 13 refers to the estimated values of the degradation factor intensity shown in 202 of FIG. 2 and derives that the degree of involvement for each radio wave degradation factor is 10% for attenuation due to distance, 30% for attenuation due to shielding, and 60% for fading.

[0020] As described above, in the information processing system 1 according to this exemplary embodiment, an acquisition unit 11 that acquires time-series data of radio wave index values, which are indicators of the communication quality of wireless communication, and an estimation unit 12 that estimates the intensity of each degradation factor of the communication quality degradation caused by the radio wave propagation environment according to the acquired time-series data, and a derivation unit 13 that derives the degree of involvement in the degradation of communication quality for each degradation factor according to the intensity of each estimated degradation factor are provided. Therefore, according to the information processing system 1 according to this exemplary embodiment, an effect can be obtained that it is possible to estimate the extent to which each of a plurality of factors affects communication degradation or communication failure.

[0021] (Information processing device 2) Next, the information processing apparatus 2 according to this exemplary embodiment will be described with reference to the drawings. FIG. 3 is a block diagram showing the configuration of the information processing apparatus 2. As shown in FIG. 2, the information processing apparatus 2 includes a control unit 10, a memory 14, and a communication unit 15. The control unit 10 includes an acquisition unit 11, an estimation unit 12, and a derivation unit 13. Since the acquisition unit 11, the estimation unit 12, and the derivation unit 13 have the same configuration and functions as the acquisition unit 11, the estimation unit 12, and the derivation unit 13 described in the above information processing system 1, the description thereof will be omitted here.

[0022] The memory 14 is composed of, for example, various volatile RAMs (Random Access Memories) and non-volatile ROMs (Read Only Memories). Various programs are stored in the ROM. The various programs are, for example, an acquisition program, an estimation program, a derivation program, and the like. The control unit 10 realizes the functions as the acquisition unit 11, the estimation unit 12, and the derivation unit 13 by expanding and executing the various programs in the RAM.

[0023] The communication unit 15 performs information communication with the outside of the information processing apparatus under the control of the control unit 10. As an example, the acquisition unit 11 acquires a radio wave index value via the communication unit 15. Further, the derivation unit 13 may transmit the derived degree of involvement to the outside via the communication unit 15.

[0024] Note that the acquisition unit 11, the estimation unit 12, the derivation unit 13, the memory 14, and the communication unit 15 do not necessarily have to be configured as one device. For example, a part of the acquisition unit 11, the estimation unit 12, the derivation unit 13, the memory 14, and the communication unit 15 may be incorporated in a housing different from the information processing apparatus 2.

[0025] As described above, the information processing apparatus 2 according to this exemplary embodiment includes a control unit 10 including an acquisition unit 11, an estimation unit 12, and a derivation unit 13, a memory 14, and a communication unit 15. According to the information processing apparatus 2 having such a configuration, the same effects as those of the above information processing system 1 can be obtained.

[0026] (Flow of Information Processing Method S1) The flow of the information processing method S1 according to this exemplary embodiment will be described with reference to FIG. 4. FIG. 4 is a flowchart showing the flow of the information processing method S1 executed by the above-described information processing system 1 or information processing apparatus 2. As shown in FIG. 4, the information processing method S1 includes step S11, step S12, and step S13.

[0027] In step S11, the acquisition unit 11 acquires time-series data of a radio wave index value, which is an index of the communication quality of wireless communication (acquisition step). The types of radio wave index values are as described above.

[0028] Next, in step S12, the estimation unit 12 estimates the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data (estimation step). The meanings of the deterioration factor and the deterioration factor intensity are as described above.

[0029] Next, in step S13, the derivation unit 13 derives the degree of involvement in the deterioration of the communication quality for each deterioration factor according to the intensity of each of the estimated deterioration factors (derivation step). The meaning of the degree of involvement is as described above.

[0030] As described above, in the information processing method S1 according to this exemplary embodiment, an acquisition step of deriving the degree of involvement in the deterioration of the communication quality for each deterioration factor according to the intensity of each of the estimated deterioration factors, an estimation step of estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data, and a derivation step of deriving the degree of involvement in the deterioration of the communication quality for each deterioration factor according to the intensity of each of the estimated deterioration factors are included. Therefore, according to the information processing method S1 according to this exemplary embodiment, an effect that it is possible to estimate the degree to which each of a plurality of factors affects communication deterioration or communication failure can be obtained. For this reason, it is possible to take measures to remove the deterioration factor with a large degree of involvement, and the communication quality can be efficiently improved.

[0031] [Exemplary Embodiment 2] A second exemplary embodiment of the present invention will be described in detail with reference to the drawings. For components having the same functions as those described in the first exemplary embodiment, the same reference numerals are assigned, and the description thereof will be omitted as appropriate.

[0032] (Configuration of Information Processing Apparatus) FIG. 5 is a block diagram showing the configuration of an information processing apparatus 2A according to the second exemplary embodiment. As shown in FIG. 5, the information processing apparatus 2A includes a control unit 10A, a memory 14, and a communication unit 15. The control unit 10A includes an acquisition unit 11, an estimation unit 12, a derivation unit 13, a aggregation unit 16, a countermeasure execution unit 17, and an output unit 18.

[0033] Note that the information processing apparatus 2A shown in FIG. 5 is described as having each unit arranged together as one device, but the configuration is not limited to this. For example, part or all of each unit may be arranged at different locations and connected to be able to communicate with each other. Also, part or all of each unit may be arranged on the cloud. This is the same in the following exemplary embodiments.

[0034] The acquisition unit 11 acquires time-series data of radio wave index values, which are indicators of the communication quality of radio wave communication. The estimation unit 12 estimates the intensity of each deterioration factor of communication quality due to the radio wave propagation environment with reference to the time-series data acquired by the acquisition unit 11. In this exemplary embodiment, the estimation unit 12 is a machine-learned estimation model. The derivation unit 13 derives the degree of involvement for each deterioration factor according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors estimated by the estimation unit 12. The specific processing contents of the estimation unit 12 and the derivation unit 13 will be described later. The memory 14 and the communication unit 15 are the same as the memory 14 and the communication unit 15 described in the information processing apparatus 2 according to the first exemplary embodiment, and thus the description here is omitted.

[0035] The aggregating unit 16 aggregates the time-series data of the radio wave index values acquired by the acquisition unit 11 and records it in the memory 14 as, for example, CSV (Comma Separated Value) data. The estimating unit 12 reads this CSV data from the memory 14 and estimates the deterioration factor intensity.

[0036] The countermeasure execution unit 17 executes countermeasures to improve the communication quality according to the degree of involvement derived by the derivation unit 13. Specifically, the countermeasure execution unit 17 extracts the deterioration factors with a large degree of involvement, selects and executes countermeasures to eliminate those deterioration factors. As an example, the countermeasure execution unit 17 may select and execute countermeasures against the deterioration factor with the largest degree of involvement. Alternatively, the countermeasure execution unit 17 may extract a plurality of deterioration factors in order from the deterioration factors with a large degree of involvement until the total degree of involvement reaches a predetermined degree, and select and execute countermeasures against these deterioration factors. The types of countermeasures will be described later.

[0037] The output unit 18 outputs the degree of involvement derived by the derivation unit 13 to the outside. The output degree of involvement is displayed, for example, on a display or the like (not shown). The user can view the output degree of involvement, consider what countermeasures to take, and execute the countermeasures. Alternatively, the output unit 18 may transmit the degree of involvement to an external countermeasure control device (not shown). The countermeasure control device can receive the degree of involvement and execute necessary countermeasures.

[0038] (Flow of the deterioration factor intensity estimation process) Next, the estimation process executed by the estimating unit 12 will be described. FIG. 6 is a schematic diagram showing the details of the process until the estimating unit 12 estimates the deterioration factor intensity. 601 in FIG. 6 is a specific example of the time-series data of the radio wave index values acquired by the acquisition unit 11. When the communication quality of the radio wave deteriorates due to a radio wave deterioration factor, the radio wave index value fluctuates. Specific examples of the deterioration factors will be described later.

[0039] In the example shown at 601 in FIG. 6, as the radio wave index values acquired by the acquisition unit 11, the instantaneous values of the reference signal received power (hereinafter referred to as "RSRP") every 0.1 milliseconds at a certain time, the instantaneous value of the reference signal received quality (hereinafter referred to as "RSRQ"), and the instantaneous value of the received signal strength indicator (hereinafter referred to as "RSSI") are shown.

[0040] RSRP is the received power of the reference signal per 1 resource element (bandwidth 15 kHz) from the transmitter (unit: dBm, etc.). RSSI is the received power of the entire band (unit: dBm, etc.). RSRQ is obtained by dividing RSRP by RSSI and multiplying by the number of resource blocks (unit: dB, etc.). The acquisition unit 11 receives the reference signal and the communication signal transmitted from the transmitter (as an example, a mobile radio base station), and calculates RSRP, RSRQ, and RSSI.

[0041] Note that the above radio wave index values are examples, and the radio wave index values acquired by the acquisition unit 11 may be a part of these, or may include radio wave index values other than these. For example, as other radio wave index values, the signal to interference plus noise power ratio (hereinafter referred to as "SINR") etc. may be used. SINR is the ratio of the noise power including interference to the signal power (unit: dB, etc.).

[0042] 602 in FIG. 6 is the CSV data aggregated by the aggregation unit 16 and recorded in the memory 14. As described above, the types of time series data (radio wave index values) are not limited to the illustrated RSRP, RSRQ, and RSSI.

[0043] As shown in 603 of FIG. 6, the estimation unit 12 acquires time-series data 602 and estimates the deterioration factor intensity. As described above, in the second exemplary embodiment, the estimation unit 12 is a machine-learned estimation model. Specifically, the estimation unit 12 is a model learned using time-series data obtained by simulating deterioration factors in advance. That is, the estimation unit 12 is a learned estimation model that takes time-series data of radio wave index values as input and outputs the deterioration factor intensity. The machine learning method of the estimation model will be described later.

[0044] 604 in FIG. 6 is an example of the estimated value of the deterioration factor intensity estimated by the estimation unit 12. The deterioration factor intensity is an index that affects the magnitude of deterioration due to that deterioration factor. In this example, the estimation unit 12, which is an estimation model, acquires the CSV data 602 of the radio wave index value and outputs an example where the moving speed of the receiver is B (m / s), the attenuation amount due to shielding is C (dB), and the K factor is D (-).

[0045] The moving speed of the receiver is the deterioration factor intensity related to the deterioration factor of attenuation due to the distance of the radio wave. Attenuation due to the distance of the radio wave is the attenuation of the radio wave due to an increase in the distance between the transmitter and the receiver. Attenuation due to the distance of the radio wave can also be referred to as deterioration due to the distance of the radio wave.

[0046] The attenuation amount due to shielding is the deterioration factor intensity related to the deterioration factor of attenuation due to radio wave shielding. Attenuation due to radio wave shielding can also be referred to as deterioration due to radio wave shielding.

[0047] The K factor is the deterioration factor intensity related to the deterioration factor of radio wave fading. Fading is the temporal variation of radio waves due to various factors such as interference, reflection, and polarization, and can also be referred to as deterioration due to radio wave fading. The K factor is given as the ratio of the power of the direct wave to the sum of the powers of N sinusoidal waves.

[0048] In the present exemplary embodiment, an example including distance, shielding, and fading as factors degrading radio waves has been described. However, the degrading factors are not limited to these. For example, in addition to the above degrading factors, interference, convergence, and handover may be included. That is, as degrading factors, at least any one of distance, shielding, fading, interference, convergence, and handover may be included.

[0049] Degradation due to interference is degradation that occurs when radio waves from a plurality of transmitters (base stations or wireless terminals) interfere with each other. Convergence is degradation caused by insufficient frequency being assigned to the receiver. Degradation due to handover is degradation that occurs when a wireless terminal near the boundary of cells of two adjacent base stations repeats handover between the two base stations.

[0050] (Learning method of estimation model) Next, a learning method of the estimation model will be described. FIG. 7 is a schematic diagram showing the flow of the learning method of the estimation model that is the estimation unit 12. The learning of the estimation model is performed using a radio wave communication state simulator (hereinafter referred to as "simulator"). The simulator performs a simulation that temporally changes transmission conditions such as the transmission method and transmission output of the transmitter, reception conditions such as the reception method and reception ability of the receiver, the distance between the transmitter and the receiver, and spatial conditions such as the type of obstacle, and calculates the change in the reception level.

[0051] 701 in FIG. 7 is an example of a conditional value of the magnitude of a deterioration factor, which is a simulation condition. A user inputs such a conditional value as one of the simulation conditions and obtains an output value output by a simulator. Note that the simulation conditions are preferably conditions that simulate an actual radio wave environment for which it is desired to derive a degree of involvement using the information processing apparatus 2A. By using an estimation model learned under simulation conditions that simulate an actual radio wave environment, a highly accurate degree of involvement can be derived. For example, in the example shown in 701 of FIG. 7, in a factory or a work site, since it is desired to estimate the deterioration factor strength of radio waves between a robot or work equipment (receiver) that receives a control signal and travels autonomously to perform work and a transmitter that transmits a control signal for operating the same, the above-described deterioration factor strength is set as a parameter. However, when it is desired to estimate the deterioration factor strength in different radio wave transmission and reception environments, it is preferable to set different deterioration factor strengths.

[0052] 702 in FIG. 7 is an example of a radio wave index value output from a simulator. The vertical axis of 702 represents RSRP (dBm), and the horizontal axis represents time (t). In this example, a graph showing the time change of RSRP is shown, but as described above, the output data is not limited to this. 703 in FIG. 7 is data obtained by aggregating time-series data of radio wave index values output from a simulator as CSV data.

[0053] Next, as shown in 704 of FIG. 7, the user inputs the time-series data 703 obtained by simulation into the estimation unit 12 (estimation model) and causes it to learn so that the output value 705 approaches the conditional value 701 of the simulation. 705 in FIG. 7 is an example of an output value of the deterioration factor strength output by the estimation unit 12. In the example shown here, the moving speed of the receiver is B', the attenuation amount due to shielding is C', and the K factor is D'. The estimation model is learned so that these values approach B, C, and D, which are the conditional values of the simulation, respectively. That is, the estimation model updates the parameters and weights of the estimation model so that the error between the output value 705 and the simulation conditional value 701 becomes small. Then, the update is terminated when the error between the output value and the conditional value falls within a predetermined range.

[0054] (Deriving the degree of involvement from the deterioration factor intensity) Next, a method by which the deriving unit 13 derives the degree of involvement from the deterioration factor intensity will be described. First, the deriving unit 13 converts the intensity of each of the deterioration factors into a common deterioration index value according to parameters specified based on data of the deterioration index values obtained by simulating the deterioration factors. The deriving unit 13 is provided with conversion means created in advance in order to convert each of the deterioration factor intensities into a common deterioration index value. The conversion means is, for example, a function or a function table including predetermined parameters. Next, the deriving unit 13 derives the degree of involvement for each deterioration factor with respect to the deterioration of the communication quality with reference to the common deterioration index value.

[0055] In this exemplary embodiment, the deterioration index value is a numerical value representing the degree of deterioration caused by a plurality of deterioration factors by specific evaluation values. This specific evaluation value is referred to as a common deterioration index value. The type of the common deterioration index value is not limited as long as it can numerically represent the degree of deterioration caused by different deterioration factors.

[0056] As an example, the degradation index value is information related to at least any one of data traffic (throughput), data communication delay time, jitter, hybrid automatic repeat request count, hybrid automatic repeat excess count, radio link control retransmission count, block error ratio (Block Error Ratio, hereinafter referred to as "BLER"), packet loss ratio, and bit error ratio. The data traffic (throughput) is the data traffic (bits) per unit time. The data communication delay time is the time from when the data is transmitted from the transmitter until it is received by the receiver. Jitter is that due to the fluctuation of the data transmission time, the arrival order of the data is reversed or the data cannot be received. The hybrid automatic repeat request count is the number of automatic repeat requests in the hybrid method (automatic repeat request method with a code indicating the presence or absence of data damage added to the packet). The hybrid automatic repeat excess count is the number of cases where the number of automatic repeat requests by the hybrid method exceeds a predetermined number. The radio link control retransmission count is the number of times an IP packet that has failed to be transmitted in the radio link control sublayer is retransmitted. BLER is the ratio of the number of blocks with errors to the total number of transmitted blocks. The packet loss ratio is the ratio of the transmitted packets that do not reach the receiving side. The bit error ratio is the ratio of a part of the transmitted data that becomes an error.

[0057] A method by which the deriving unit 13 derives the degree of involvement from the degradation factor intensity will be specifically described with reference to the drawings. FIG. 8 is a schematic diagram showing an example of a method by which the deriving unit 13 converts the degradation factor intensity into a common degradation index value and further derives the degree of involvement.

[0058] (Conversion to a common degradation index value) Reference numeral 801 in FIG. 8 shows a function formula (1) which is an example of a function provided in the derivation unit 13. The function f represented by formula (1) is a function that takes parameters a, b, c, and d as inputs and outputs a degradation index value X. In this example, the degradation index value X is the amount of decrease in throughput (data traffic volume), but functions can be similarly set for other degradation index values. Parameter a is the initial distance (m) between the receiver and the transmitter, parameter b is the moving speed (m / s) of the receiver, parameter c is the shielding attenuation amount (dBm), and parameter d is the K factor (-) of fading. Note that in this example, parameter a is the initial distance between the receiver and the transmitter and is a constant. Also, the units are arbitrary and can be set according to the environment in which it is actually applied.

[0059] As shown by reference numeral 802 in FIG. 8, the derivation unit 13 calculates the degradation index value as follows using formula (1). (1) Degradation index value due to distance attenuation: Xb = f(a, 0, 0, 0) - f(a, b, 0, 0) (2) Degradation index value due to shielding: Xc = f(a, 0, 0, 0) - f(a, 0, c, 0) (3) Degradation index value due to fading: Xd = f(a, 0, 0, 0) - f(a, 0, 0, d)

[0060] The calculation results are shown by reference numeral 803 in FIG. 8. In this example, the amount of decrease in throughput Xb due to distance attenuation is calculated as 10 (kbps), the amount of decrease in throughput Xc due to shielding is calculated as 30 (kbps), and the amount of decrease in throughput Xd due to fading is calculated as 60 (kbps). Through the above processing, the derivation unit 13 can convert the degradation factor intensity into a common degradation index value, namely the amount of decrease in throughput.

[0061] (Derivation of the degree of involvement) Next, the derivation unit 13 derives the degree of involvement for each degradation factor according to the magnitude of this degradation index value. As an example, the derivation unit 13 can derive the ratio for each degradation factor of the degradation index value as the degree of involvement for each degradation factor. Specifically, as shown in 804 of FIG. 8, the degree of involvement of distance attenuation is derived as 10 (%), the degree of involvement due to shielding is 30 (%), and the degree of involvement due to fading is 60 (%). Also, as shown in 805 of FIG. 8, the degree of involvement may be displayed in a pie chart.

[0062] FIG. 9 is an example of a function table that the derivation unit 13 has instead of or in addition to a function. As shown in FIG. 9, in the function table, throughput X is given as a degradation index value according to the values of the initial distance a, the moving speed b of the receiver, the attenuation amount c due to shielding, and the K factor d. This function table can be created in advance by simulation. This simulation can be executed by the aforementioned simulator.

[0063] The degradation index value at the degradation factor intensity not in the function table of FIG. 9 may be calculated by interpolation from the surrounding numerical values. Degradation index values other than throughput can also be calculated by simulation. Such a table may be provided for each degradation index value, and the function tables may be used appropriately according to the acquired radio wave index values. Note that the aforementioned function formula (1) may be created from data obtained by a simulator (for example, the function table shown in FIG. 9, etc.).

[0064] As described above, when the degree of involvement for each degradation factor is found, the countermeasure execution unit 17 can extract the degradation factor with a large degree of involvement, select a countermeasure to eliminate the degradation factor, and execute it. Here, the countermeasures for improving the communication quality executed by the countermeasure execution unit 17 will be described.

[0065] (Countermeasure method) FIG. 10 is a table showing an example of a countermeasure method for each degradation factor. As shown in the figure, as an example of a countermeasure against distance attenuation, power adjustment of the transmitter, or adjustment of the handover threshold of the transmitter, etc. can be mentioned. Power adjustment of the transmitter is a countermeasure to increase the transmission output. Adjustment of the handover threshold of the transmitter is to lower the threshold of the received power at which handover is performed. Adjustment of the handover threshold is effective in the case of degradation due to frequent handovers.

[0066] As an example of a countermeasure against degradation due to shielding, setting the MCS (Modulation and Coding Scheme) of the receiver to a lower value, or changing the movement route of the receiver, etc. can be mentioned. MCS is a combination of a data modulation method and a channel coding rate, and by adjusting this, the SINR can be improved. Changing the movement route of the receiver is a method of suppressing degradation due to shielding by avoiding the shield between the transmitter and the receiver and moving.

[0067] As an example of a countermeasure against degradation due to fading, setting the MCS of the receiver to a lower value, reducing the multiplicity of the transmitter, increasing the antennas of the receiver, etc. can be mentioned. The setting of MCS is as described above. The method of reducing the multiplicity of the transmitter can reduce degradation due to interference, etc. Increasing the antennas of the receiver is a method of reducing degradation by enhancing the receiving ability.

[0068] By taking the above measures for the transmitter or receiver, the deterioration of communication quality can be reduced. Note that such measures may be taken for individual transmitters or receivers. Alternatively, when it is considered that there is a common deterioration factor for a plurality of transmitters or a plurality of receivers existing in a certain area, the measures may be taken for the plurality of transmitters or the plurality of receivers. Further, as an example, the countermeasure execution unit 17 is installed in the base station and may execute measures to improve the transmission capacity of the base station with reference to the degree of involvement acquired from the derivation unit 13. Further, a control signal may be transmitted from the base station to each receiver so as to execute measures to improve the reception capacity.

[0069] Alternatively, as described above, the user may examine what measures to take by looking at the degree of involvement output by the output unit 18 and execute the measures. For example, the user can take measures such as changing the installation position of the base station, changing the number of antennas of the receiver, and reducing the multiplexing number of the transmitter. On the other hand, the measures that can be executed by the countermeasure execution unit 17 include power adjustment of the transmitter, change of each parameter of the base station or transceiver, and the like.

[0070] (Effect of the information processing apparatus 2A) As described above, in the information processing apparatus 2A according to this exemplary embodiment, the configuration is adopted in which the derivation unit 13 derives the degree of involvement for each deterioration factor according to the common deterioration index value obtained by converting the intensity of each deterioration factor. There are various types of deterioration factors, and the deterioration factor intensity also has different units for each deterioration factor. However, by converting the deterioration factor intensity that cannot be simply compared into a common deterioration index value and referring to it, the degree of involvement of which deterioration factor is involved in the deterioration of communication quality to what extent can be derived.

[0071] That is, according to the information processing apparatus 2A according to this exemplary embodiment, in addition to the effect exhibited by the information processing apparatus 2 according to Exemplary Embodiment 1, an effect that the deterioration factor intensity can be compared with a common deterioration index value is obtained.

[0072] Further, in the information processing apparatus 2A according to this exemplary embodiment, the derivation unit 13 is configured to convert the intensity of each of the deterioration factors into a common deterioration index value according to the parameters specified based on the data of the deterioration index values obtained by simulating the deterioration factors. Therefore, according to the information processing apparatus 2A according to this exemplary embodiment, an effect that the deterioration index values can be accurately converted based on the simulation can be obtained.

[0073] Further, in the information processing apparatus 2A according to this exemplary embodiment, the estimation unit 12 is configured to be a model learned using time-series data obtained by previously simulating the deterioration factors. Therefore, according to the information processing apparatus 2A according to this exemplary embodiment, an effect that the intensity of the deterioration factors can be accurately estimated can be obtained.

[0074] (Information Processing Method S2) Next, the information processing method S2 according to the second exemplary embodiment will be described with reference to the drawings. FIG. 11 is a flowchart showing the flow of the information processing method S2 executed by the above-described information processing apparatus 2A. As shown in FIG. 11, the information processing method S2 includes steps S21 to S23B. An acquisition step of acquiring time-series data of a radio wave index value that is an index of the communication quality of wireless communication; An estimation step of estimating the intensity of each of the deterioration factors of the communication quality caused by the radio wave propagation environment according to the acquired time-series data; A derivation step of deriving the degree of involvement of each of the deterioration factors in the deterioration of the communication quality according to the intensity of each of the estimated deterioration factors; An information processing method characterized by including the above.

[0075] In step S21, the acquisition unit 11 acquires time-series data of a radio wave index value that is an index of the communication quality of wireless communication (acquisition step). The types of radio wave index values are as described above.

[0076] Next, in step S22, the estimation unit 12 estimates the intensity of each of the communication quality degradation factors caused by the radio wave propagation environment according to the time-series data acquired by the acquisition unit 11 (estimation step).

[0077] Next, in step S23A, the derivation unit 13 converts the intensity of each of the degradation factors estimated by the estimation unit 12 into a common degradation index value (conversion step).

[0078] Next, in step S23B, the derivation unit 13 derives the degree of involvement for each degradation factor according to the converted degradation index value (derivation step).

[0079] According to the above information processing method S2, by converting the degradation factor intensities that cannot be simply compared into a common degradation index value for reference, it is possible to derive the degree of involvement of which degradation factor contributes to the degradation of the communication quality to what extent. Therefore, in addition to the effect achieved by the information processing method S1 according to the first exemplary embodiment, an effect that the degradation factor intensities can be compared with a common degradation index value is obtained.

[0080] 〔Exemplary Embodiment 3〕 The third exemplary embodiment of the present invention will be described in detail with reference to the drawings. Note that components having the same functions as those described in the first and second exemplary embodiments are denoted by the same reference numerals, and their descriptions will not be repeated.

[0081] FIG. 12 is a block diagram showing the configuration of an information processing apparatus 2B according to the third exemplary embodiment. As shown in FIG. 12, the information processing apparatus 2B includes a control unit 10B, a memory 14, and a communication unit 15. The control unit 10B includes an acquisition unit 11, an estimation unit 12, a derivation unit 13, a aggregation unit 16, a countermeasure execution unit 17, an output unit 18, and a model learning unit 19. As described in the second exemplary embodiment, the estimation unit 12 is an estimation model capable of machine learning. Note that some or all of the above-described units may be arranged at different locations and connected to each other so as to be capable of information communication. Also, some or all of the above-described units may be arranged on the cloud.

[0082] The configurations and functions of the acquisition unit 11, the estimation unit 12, the derivation unit 13, the aggregation unit 16, the countermeasure execution unit 17, the output unit 18, the memory 14, and the communication unit 15 are the same as those of the respective units described in Exemplary Embodiment 1 or 2, and thus the description thereof is omitted. Here, only the model learning unit 19 will be described.

[0083] The model learning unit 19 learns the estimation model that is the estimation unit 12. As an example of the method of learning the estimation model, the method described with reference to FIG. 7 in Exemplary Embodiment 2 can be mentioned. In that case, the model learning unit 19 acquires, from the outside, the conditional value of the degradation factor intensity of the simulation and the simulation result of the radio wave index value under that condition. As an example, the model learning unit 19 acquires, via the communication unit 15, the conditional value of the simulation and the simulation result of the radio wave index value under that condition from an external database. Alternatively, the model learning unit 19 may acquire the conditional value of the simulation input by the user and the simulation result of the radio wave index value under that condition.

[0084] Next, the model learning unit 19 transmits the acquired conditional value of the simulation and the simulation result of the radio wave index value to the estimation unit 12. The estimation unit 12 updates the parameters and weights of the estimation model so that the error between the estimated value of the degradation factor intensity estimated based on the simulation result of the radio wave index value and the conditional value of the simulation becomes small. Then, the model learning unit 19 ends the update when the error between the estimated value and the conditional value falls within a predetermined range. Thereby, the learning of the estimation model ends.

[0085] Note that the estimation unit 12 may be an already learned estimation model or an unlearned estimation model. Even if the estimation unit 12 is an already learned estimation model, it may be further learned using additional conditional values of the simulation and the simulation results of the radio wave index values.

[0086] 〔Exemplary Embodiment 4〕 A fourth exemplary embodiment of the present invention will be described in detail with reference to the drawings. Components having the same functions as those described in the first to third exemplary embodiments are denoted by the same reference numerals, and their descriptions will not be repeated.

[0087] FIG. 13 is a configuration diagram showing an example of an information processing system according to the fourth exemplary embodiment. The information processing system 1A according to this fourth exemplary embodiment includes an acquisition unit 11, an estimation unit 12, a derivation unit 13, a summation unit 16, a countermeasure execution unit 17, and an output unit 18.

[0088] In a communication system where the information processing system 1A transmits information from a transmitter 22 to a receiver 23 via a base station 30, the communication quality between the transmitter 22 and the base station 30 and the communication quality between the base station 30 and the receiver 23 are monitored, and necessary countermeasures are executed. That is, the acquisition unit 11 acquires radio wave index values between the transmitter 22 and the base station 30 and between the base station 30 and the receiver 23, and the estimation unit 12 estimates the degradation factor intensity using the radio wave index values. The derivation unit 13 derives the degree of involvement in the degradation of the communication quality from the degradation factor intensity. Then, the countermeasure execution unit 17 selects a countermeasure according to the degree of involvement, generates a countermeasure signal, and transmits it to the transmitter 22, the receiver 23, or the base station 30 to execute the countermeasure. In this exemplary embodiment, the countermeasure execution unit 17 is arranged at a location different from the base station 30, the transmitter 22, and the receiver 23.

[0089] Note that, in the example shown in FIG. 13, an example is shown in which both the transmitter 22 and the receiver 23 communicate with a base station 30 operated by a carrier operator, but it is not limited to this. For example, a system in which the transmitter 22 and the receiver 23 communicate directly, such as local 5G using facilities independent of the base station operated by the carrier operator, may be used. In that case, the information processing system 1A monitors the communication quality from the transmitter 22 to the receiver 23 and executes necessary countermeasures. Alternatively, the user who views the information output from the output unit 18 may execute countermeasures as appropriate. These modifications are also applicable to the above-described first to third exemplary embodiments and the exemplary embodiments shown below.

[0090] FIG. 14 is a configuration diagram showing another example of the information processing system according to the fourth exemplary embodiment. The information processing system 1B according to this fourth exemplary embodiment includes an acquisition unit 11, an estimation unit 12, a derivation unit 13, a aggregation unit 16, a countermeasure execution unit 17, and an output unit 18. However, in this example, the countermeasure execution unit 17 is arranged in the base station 30. The information processing system 1B monitors the communication quality between the transmitter 22 and the base station 30 and the communication quality between the base station 30 and the receiver 23, and executes necessary countermeasures. The countermeasure execution unit 17 appropriately generates and transmits a countermeasure signal for the base station 30, the transmitter 22, or the receiver 23. In this example, since the countermeasure execution unit 17 is arranged in the base station 30, there is an advantage that the countermeasure signal can be directly transmitted from the base station 30 to the transmitter 22 or the receiver 23. There is also an advantage that the options for countermeasures for the base station 30 are expanded.

[0091] FIG. 15 is a configuration diagram showing still another example of the information processing system according to the fourth exemplary embodiment. The information processing system 1C according to this fourth exemplary embodiment includes an acquisition unit 11, an estimation unit 12, a derivation unit 13, a aggregation unit 16, a countermeasure execution unit 17, and an output unit 18. However, in this example, the transmitter 22 is a transmitter arranged in a remote control system 22 that remotely controls a work robot or a work machine that is the receiver 23. The remote control system 22 includes a countermeasure execution unit 17 and a receiver countermeasure execution unit 21. The information processing system 1C monitors the communication quality between the transmitter 22 and the base station 30 and the communication quality between the base station 30 and the receiver 23, and executes necessary countermeasures. The receiver countermeasure execution unit 21 also serves as a control device for the receiver 23, acquires the countermeasure signal to be transmitted to the receiver 23 generated by the countermeasure execution unit 17, and transmits it to the receiver 23. In this way, by arranging a part of the information processing system 1C in a facility including an information communication device, monitoring the communication quality of the information communication device, and taking countermeasures, stable operation of the facility can be ensured. For example, when the movement route of the receiver 23 cannot be changed, other countermeasures can be executed. In this way, by providing the remote control system 22 with the countermeasure execution unit 17, countermeasures suitable for remote control can be taken.

[0092] (Effects of Information Processing Systems 1A to 1C) As described above, according to the information processing systems 1A to 1C according to this exemplary embodiment, in addition to the effects exhibited by the information processing system 1 according to Exemplary Embodiment 1, an effect that stable operation of facilities for information communication can be ensured is obtained.

[0093] [Example of Realization by Software] Some or all of the functions of the information processing systems 1, 1A, 1B, 1C and the information processing apparatuses 2, 2A, 2B (hereinafter referred to as "information processing apparatuses etc.") may be realized by hardware such as an integrated circuit (IC chip), or may be realized by software.

[0094] In the latter case, the information processing apparatuses etc. are realized by, for example, a computer that executes instructions of a program which is software for realizing each function. An example of such a computer (hereinafter referred to as computer C) is shown in FIG. 16. Computer C includes at least one processor C1 and at least one memory C2. A program P for operating computer C as an information processing apparatus etc. is recorded in memory C2. In computer C, processor C1 reads and executes program P from memory C2, whereby each function of the information processing apparatuses etc. is realized.

[0095] As the processor C1, for example, a CPU (Central Processing Unit), GPU (Graphic Processing Unit), DSP (Digital Signal Processor), MPU (Micro Processing Unit), FPU (Floating point number Processing Unit), PPU (Physics Processing Unit), a microcontroller, or a combination thereof, etc. can be used. As the memory C2, for example, a flash memory, HDD (Hard Disk Drive), SSD (Solid State Drive), or a combination thereof, etc. can be used.

[0096] Incidentally, the computer C may further include a RAM (Random Access Memory) for expanding the program P during execution or temporarily storing various data. Further, the computer C may further include a communication interface for transmitting and receiving data to and from other devices. Further, the computer C may further include an input / output interface for connecting input / output devices such as a keyboard, a mouse, a display, and a printer.

[0097] Further, the program P can be recorded on a non-transitory tangible recording medium M readable by the computer C. As such a recording medium M, for example, a tape, a disk, a card, a semiconductor memory, or a programmable logic circuit can be used. The computer C can acquire the program P via such a recording medium M. Further, the program P can be transmitted via a transmission medium. As such a transmission medium, for example, a communication network or a broadcast wave can be used. The computer C can also acquire the program P via such a transmission medium.

[0098] 〔Supplementary Note 1〕 The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims. For example, embodiments obtained by appropriately combining the technical means disclosed in the above-described embodiments are also included in the technical scope of the present invention.

[0099] 〔Supplementary Note 2〕 Some or all of the above-described embodiments can also be described as follows. However, the present invention is not limited to the aspects described below. (Supplementary Note 1) An acquisition means for acquiring time-series data of radio wave index values, which are indicators of communication quality in wireless communication, an estimation means for estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data, and a derivation means for deriving the degree of involvement in the deterioration of the communication quality for each of the deterioration factors according to the intensity of each of the estimated deterioration factors. An information processing system characterized by comprising.

[0100] According to the above configuration, it is possible to estimate the degree of influence of each of a plurality of factors on communication deterioration or communication failure.

[0101] (Appendix 2) The information processing system according to Appendix 1, wherein the derivation means derives the degree of involvement for each of the deterioration factors according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors.

[0102] According to the above configuration, by converting the intensity of deterioration factors that cannot be simply compared into a common deterioration index value and referring to it, it is possible to derive the degree of involvement of which deterioration factor contributes to the deterioration of communication quality to what extent.

[0103] (Appendix 3) The information processing system according to Appendix 2, wherein the derivation means converts the intensity of each of the deterioration factors into a common deterioration index value according to a parameter specified based on data of the deterioration index value obtained by simulating the deterioration factors.

[0104] According to the above configuration, it is possible to accurately convert into a deterioration index value based on simulation.

[0105] (Appendix 4) The information processing system according to any one of Appendices 1 to 3, wherein the estimation means is a model learned using the time-series data obtained by simulating the deterioration factors in advance.

[0106] According to the above configuration, it is possible to accurately estimate the intensity of the deterioration factor.

[0107] (Appendix 5) The information processing system according to any one of Appendices 1 to 4, further comprising countermeasure execution means for executing countermeasures to improve communication quality according to the derived degree of involvement.

[0108] According to the above configuration, since countermeasures can be selectively executed against the degradation factors with a high degree of involvement, communication quality can be improved efficiently.

[0109] (Appendix 6) The information processing system according to any one of Appendices 1 to 5, further comprising output means for outputting the derived degree of involvement.

[0110] According to the above configuration, since the user can confirm the degree of involvement, the user can take countermeasures according to the degree of involvement, and communication quality can be improved efficiently.

[0111] (Appendix 7) The information processing system according to any one of Appendices 1 to 6, wherein the radio wave index value includes at least any one of reference signal reception strength, reference signal reception quality, received signal strength, and signal power to interference and noise power ratio.

[0112] According to the above configuration, the intensity of the degradation factor can be estimated using various radio wave index values.

[0113] (Appendix 8) The information processing system according to any one of Appendices 1 to 7, wherein the degradation factor includes at least any one of distance, shielding, fading, interference, congestion, and handover.

[0114] According to the above configuration, since the degree of involvement can be derived for various degradation factors, countermeasures can be executed corresponding to various degradation factors.

[0115] (Appendix 9) The information processing system according to Appendix 2 or 3, wherein the deterioration index value is information related to at least any one of data traffic, data communication delay time, jitter, hybrid automatic repeat request count, hybrid automatic repeat excess count, radio link control repeat count, block error rate, packet loss rate, and bit error rate.

[0116] According to the above configuration, since it can be converted into various deterioration index values, an appropriate common deterioration index value can be used according to the characteristics of the communication system.

[0117] (Appendix 10) The information processing system according to Appendix 4, further comprising learning means for learning the model.

[0118] According to the above configuration, while monitoring the communication quality of the communication system, it is possible to learn an estimation model for estimating the intensity of the deterioration factor and improve the accuracy.

[0119] (Appendix 11) An information processing apparatus comprising: acquisition means for acquiring time series data of a radio wave index value which is an index of the communication quality of wireless communication; estimation means for estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time series data; and derivation means for deriving the degree of involvement of each of the deterioration factors in the deterioration of the communication quality according to the intensity of each of the estimated deterioration factors.

[0120] According to the above configuration, an effect similar to the effect according to Appendix 1 can be obtained.

[0121] (Appendix 12) The information processing apparatus according to Appendix 11, wherein the derivation means derives the degree of involvement of each of the deterioration factors according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors.

[0122] According to the above configuration, an effect similar to the effect according to Appendix 2 can be obtained.

[0123] (Appendix 13) The derivation means is the information processing apparatus according to Appendix 12, which converts the intensity of each of the deterioration factors into a common deterioration index value according to parameters specified based on the data of the deterioration index values obtained by simulating the deterioration factors.

[0124] According to the above configuration, an effect similar to the effect according to Appendix 3 can be obtained.

[0125] (Appendix 14) The estimation means is the information processing apparatus according to any one of Appendices 11 to 13, which is a model learned using the time series data obtained by simulating the deterioration factors in advance.

[0126] According to the above configuration, an effect similar to the effect according to Appendix 4 can be obtained.

[0127] (Appendix 15) The information processing apparatus according to any one of Appendices 11 to 14 further includes countermeasure execution means for executing countermeasures to improve communication quality with reference to the derived degree of involvement.

[0128] According to the above configuration, an effect similar to the effect according to Appendix 5 can be obtained.

[0129] (Appendix 16) The information processing apparatus according to any one of Appendices 11 to 15 further includes output means for outputting the derived degree of involvement.

[0130] According to the above configuration, an effect similar to the effect according to Appendix 6 can be obtained.

[0131] (Appendix 17) An acquisition step of acquiring time-series data of radio wave index values, which are indicators of communication quality in wireless communication; an estimation step of estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data; and a derivation step of deriving the degree of involvement of each deterioration factor in the deterioration of the communication quality according to the intensity of each of the estimated deterioration factors. An information processing method characterized by including these steps.

[0132] According to the above configuration, an effect similar to the effect according to Supplementary Note 1 can be obtained.

[0133] (Supplementary Note 18) The derivation step is the step of deriving the degree of involvement of each deterioration factor according to a common deterioration index value obtained by converting the intensity of each deterioration factor. The information processing method according to Supplementary Note 17.

[0134] According to the above configuration, an effect similar to the effect according to Supplementary Note 2 can be obtained.

[0135] (Supplementary Note 19) The derivation step is the step of converting the intensity of each deterioration factor into a common deterioration index value according to a parameter specified based on the data of the deterioration index value obtained by simulating the deterioration factor. The information processing method according to Supplementary Note 18.

[0136] According to the above configuration, an effect similar to the effect according to Supplementary Note 3 can be obtained.

[0137] (Supplementary Note 20) The estimation step is executed by a model learned using the time-series data obtained by simulating the deterioration factor in advance. The information processing method according to any one of Supplementary Notes 17 to 19.

[0138] According to the above configuration, an effect similar to the effect according to Supplementary Note 4 can be obtained.

[0139] (Supplementary Note 21) The information processing method according to any one of Appendices 17 to 20, further comprising a countermeasure execution step of executing countermeasures to improve communication quality according to the derived degree of involvement.

[0140] According to the above configuration, an effect similar to the effect according to Appendix 5 can be obtained.

[0141] (Appendix 22) The information processing method according to any one of Appendices 17 to 21, further comprising an output step of outputting the derived degree of involvement.

[0142] According to the above configuration, an effect similar to the effect according to Appendix 6 can be obtained.

[0143] (Appendix 23) A program for operating a computer as the information processing system according to any one of Appendices 1 to 10, characterized in that the computer is caused to function as each of the above means.

[0144] [Appendix Item 3] Some or all of the above-described embodiments can be further expressed as follows.

[0145] An information processing system including at least one processor, the processor executing an acquisition process, an estimation process, and a derivation process. Note that this information processing system may further include a memory, and a program for causing the processor to execute the acquisition process, the estimation process, and the derivation process may be stored in this memory. Further, this program may be recorded on a non-transitory tangible recording medium readable by a computer.

Explanation of Reference Numerals

[0146] 1, 1A, 1B, 1C... Information processing system 2, 2A, 2B... Information processing device 11... Acquisition unit 12... Estimation unit 13... Derivation unit 14... Memory 15... Communication unit 16... Aggregation unit 17... Countermeasure execution unit 18... Output unit 19... Model learning unit 21... Receiver countermeasure execution unit 22... Transmitter 23... Receiver 30... Base station

Claims

1. An acquisition means for acquiring time-series data of a radio wave index value which is an index of communication quality of wireless communication; An estimation means for estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data; A derivation means for deriving the degree of involvement in the deterioration of the communication quality for each of the deterioration factors according to the intensity of each of the estimated deterioration factors; Comprising: The derivation means derives the degree of involvement for each of the deterioration factors according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors. An information processing system.

2. The derivation means converts the intensity of each of the deterioration factors into a common deterioration index value according to a parameter specified based on data of the deterioration index value obtained by simulating the deterioration factors. The information processing system according to claim 1.

3. The estimation means is a model learned using the time-series data obtained by previously simulating the deterioration factors. The information processing system according to claim 1 or 2.

4. Further comprising a countermeasure execution means for executing countermeasures to improve communication quality according to the derived degree of involvement. The information processing system according to any one of claims 1 to 3.

5. The radio wave index value includes at least any one of a reference signal reception intensity, a reference signal reception quality, a received signal intensity, and a signal power to interference and noise power ratio. The information processing system according to any one of claims 1 to 4.

6. The deterioration factors include at least any one of distance, shielding, fading, interference, convergence, and handover. The information processing system according to any one of claims 1 to 5.

7. An acquisition means for acquiring time-series data of a radio wave index value which is an index of communication quality of wireless communication; An estimation means for estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the acquired time-series data; A derivation means for deriving the degree of involvement in the deterioration of the communication quality for each of the deterioration factors according to the intensity of each of the estimated deterioration factors; Comprising: The derivation means derives the degree of involvement for each of the deterioration factors according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors. An information processing apparatus.

8. An acquisition step of acquiring time-series data of a radio wave index value which is an index of communication quality of wireless communication; An estimation step of estimating the intensity of each of the deterioration factors of the communication quality due to the radio wave propagation environment according to the obtained time series data; A derivation step of deriving the degree of involvement in the deterioration of the communication quality for each of the deterioration factors according to the intensity of each of the estimated deterioration factors; comprising: In the derivation step, a degree of involvement for each of the deterioration factors is derived according to a common deterioration index value obtained by converting the intensity of each of the deterioration factors. An information processing method. [

9. ] A program for causing a computer to function as the information processing apparatus according to claim 7, the program for causing a computer to function as the acquisition means, the estimation means, and the derivation means.

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