JP2018117326A - Wireless section usable band estimating device, wireless section usable band estimating method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate a wireless section usable band at specified time and position by considering an influence of radio quality that can change according to the time and position.SOLUTION: A wireless section usable band estimating device includes simulator means that calculates an action log including positions and traffic amounts of a plurality of agents simulating a user of a communication terminal in a simulation space per unit time, filtering means that acquires a specified time action log that is data of the action log at specified time from the action log, and calculation means that calculates a wireless section usable band at the specified position at the specified time by using base station data including a position of each base station provided in the simulation space and the specified time action log.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a technique for estimating a wireless zone usable bandwidth.

  With the increase in functionality of mobile terminals and the increase in bandwidth of mobile communication networks, it has become an environment in which mobile traffic is likely to occur regardless of time and place. In addition, as mobile terminal usage forms are diversifying, local upload / download traffic (hereinafter referred to as event traffic) by various mobile apps occurs at the venue and its surroundings during large-scale events. Is expected.

  Event traffic has local occurrence times and places, and the tendency of applications to be used varies from event to event. For this reason, in response to new / additional deployment of permanently installed communication resources such as optical fibers and base stations, the usage rate of communication resources during normal times is reduced, resulting in excessive capital investment. Therefore, by predicting event traffic in advance and appropriately deploying communication resources that can be prepared temporarily such as mobile base station vehicles and Wi-Fi (registered trademark) AP based on the prediction results, the cost required for communication resources It is possible to improve the communication quality on the day of the event while suppressing the event.

  In order to select a location where communication resources are to be deployed, it is important to spatially estimate the available bandwidth of the wireless section on the day of the event. The wireless zone usable band (may be referred to as wireless zone throughput) in mobile communication is determined by the wireless quality according to the usage time and location of each mobile terminal. For example, in LTE, the available bandwidth (including coding scheme and data compression rate) allocated to each terminal by a base station is determined by CQI (Channel Quality Indicator) transmitted from the terminal, but CQI is the received radio wave from the base station. It is calculated based on the strength and interference from radio waves from terminals and base stations other than the connection destination around the mobile terminal. For this reason, an approach for estimating a radio zone usable band using parameters (hereinafter referred to as radio parameters) representing radio quality that can be measured by a mobile terminal such as RSRP, RSRQ, and RS SNR has been studied (non-patent document). 1, Non-Patent Document 2).

J. Cainey et al, "Modeling Download Throughput of LTE Networks," P2MNET, pp.623-628, 2014. Yoshimura et al., “Positioning of throughput estimation using wireless quality parameters,” IEICE Society Conference 2016, B-11-10, 2016.

  As a prediction technology for event traffic countermeasures, for newly held events where it is difficult to use past experience and know-how, or for events where the event specifications such as the venue and time schedule have changed (hereinafter referred to as inexperienced events) Modeling mobile terminal user's movement / communication behavior, treating each mobile terminal user as one agent, and predicting the event traffic demand of mobile terminal user's behavior using MAS (multi-agent simulation) with the specified space-time granularity An approach is under consideration (prior application: Japanese Patent Application No. 2016-101392).

  With the diversification of mobile applications and the improvement of functions of mobile communication networks and terminals that make it possible, an increase in local and large-scale event traffic at the time of events is expected. By measuring the wireless quality parameter, it is possible to estimate the usable bandwidth of the wireless section at any location based on the technology disclosed in Non-Patent Document 1 and Non-Patent Document 2, but the estimation target is similar to an event venue. Has a large amount of measurement data. Furthermore, since the wireless quality parameter also changes depending on the user's behavior on the event day, it is difficult to estimate the wireless zone available bandwidth on the event day using these techniques.

  On the other hand, for example, from the mobile terminal user's movement / communication behavior model constructed based on similar past event data, it is possible to reproduce the user behavior on the day of the target event by simulation, using the technology of the previous application, The target of prediction is limited to the amount of event traffic. In addition, the communication of event traffic generated by simulation can be evaluated according to the base station settings given in advance, but the available bandwidth in each base station is constant regardless of the position and time, and depends on the radio quality. It is difficult to evaluate the effects. Therefore, in order to estimate the wireless zone available bandwidth at the time of the event, in addition to the deployment setting of the base station given in advance, there is a problem of a method of spatially calculating parameters related to the wireless quality on the day of the event.

  The present invention has been made in view of the above points, and it is possible to estimate a radio zone usable band at a specified time and position in consideration of the influence of radio quality that can change according to time and position. It aims at providing the technology to do.

According to the disclosed technology, simulator means for calculating an action log including positions and traffic amounts of a plurality of agents simulating a user of a communication terminal in a simulation space;
Filtering means for acquiring a specified time action log that is data of the action log at a specified time from the action log;
Computation means for calculating a wireless zone usable band at the designated time at the designated time using base station data including the position of each base station provided in the simulation space and the designated time action log. A wireless section available bandwidth estimation device is provided.

  According to the disclosed technology, there is provided a technology that makes it possible to estimate a wireless zone usable band at a specified time and position in consideration of the influence of wireless quality that can change according to time and position.

It is a figure which shows the apparatus structural example 1 in embodiment of this invention. It is a figure which shows the apparatus structural example 2 in embodiment of this invention. It is a figure which shows the hardware structural example of the simulator apparatus in embodiment of this invention. It is a figure which shows the function structural example of the simulator apparatus in embodiment of this invention. It is a figure which shows the image regarding the movement range and destination candidate of an agent. It is a figure which shows the image regarding a communication range. It is a flowchart for demonstrating an example of the process sequence which a MAS engine performs. It is a flowchart for demonstrating an example of the process sequence which a purpose management part performs. It is a flowchart for demonstrating an example of the process sequence which a route calculation part performs. It is a flowchart for demonstrating an example of the process sequence which a movement action part performs. It is a flowchart for demonstrating an example of the process sequence which a communication action part performs. It is a flowchart for demonstrating an example of the process sequence which a movement environment control part performs. It is a flowchart for demonstrating an example of the process sequence which a communication environment control part performs. It is a flowchart for demonstrating an example of the process sequence which a zone | band control part performs. It is a figure which shows the information around the venue used as the object of radio | wireless area available band estimation in an Example. It is a figure which shows the estimated value of a radio area usable band (throughput), dispersion | distribution of a measured value, and a linear approximation straight line.

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

(Outline of the embodiment)
In this embodiment, in the case where a large-scale event such as a sports event or a comic market is newly planned in a communication service on a mobile communication network, mobile communication at an event venue and its surroundings by additionally deploying communication resources. The present invention relates to a technique for estimating the available bandwidth of a wireless section on the day of an event for a specified time and position for the purpose of improving the quality of the network.

  In this embodiment, a simulator function and an available bandwidth estimation function are used. The simulator function considers each mobile terminal user (hereinafter referred to as a user) at the time of an event as a moving object, models the user's movement / communication behavior, and simulates user behavior on the day of the event based on parameters that simulate the target event To do. The available bandwidth estimation function estimates a wireless zone available bandwidth at a designated time and position in accordance with a mathematical formula given in advance with the result of user behavior simulated by the simulator device as an input.

  Within the simulator function, a user is defined as one agent model using a multi-agent based simulation (MAS) framework that defines and simulates the movement of each individual as an agent. The available bandwidth in the wireless section is estimated.

(Device configuration)
1 and 2 are diagrams showing apparatus configuration examples 1 and 2 in the present embodiment. This embodiment is composed of software for executing user behavior simulation on the day of the target event, hardware for operating the software, and storage for storing input / output data required for the simulation in estimating the wireless zone usable bandwidth. The

  On the software, the MAS engine 140 that controls the entire simulation is connected to the user behavior model 110, the environment model 120, and the input data storage 160 via an API 130 (Application Program Interface), and the MAS engine 140 calculates the entire simulation. And the calculation result is output to the bandwidth estimation unit 150 via the API 130. The bandwidth estimation unit 150 calculates the wireless zone available bandwidth by using the simulation result as an input, and outputs the estimation result to the output data storage 170.

  In the following description, for the sake of simplicity, an example is shown in which all software and input / output data storage (storage media) are mounted on a single hardware. As long as data can be transmitted and received between the model 110, the environmental model 120, the API 130, the MAS engine 140, the bandwidth estimation unit 150, the input data storage 160, and the output data storage 170, the mounting form is not limited. For example, a storage medium for holding all software and input / output data may be mounted on one hardware, or each software and an input / output data storage medium may be mounted on separate hardware.

  FIG. 3 is a diagram illustrating a hardware configuration example of the simulator device 100 according to the present embodiment. The simulator device 100 of FIG. 3 includes a drive device 300, an auxiliary storage device 302, a memory device 303, a CPU 304, an interface device 305, a display device 306, an input device 307, and the like that are mutually connected by a bus B.

  A program for realizing processing in the simulator device 100 is provided by a recording medium 301 such as a CD-ROM or a memory card, for example. When the recording medium 301 storing the program is set in the drive device 300, the program is installed from the recording medium 301 to the auxiliary storage device 302 via the drive device 300. However, the program does not necessarily have to be installed from the recording medium 301, and may be downloaded from another computer via a network. The auxiliary storage device 302 stores the installed program and stores necessary files and data.

  The memory device 303 reads the program from the auxiliary storage device 302 and stores it when there is an instruction to start the program. The CPU 304 realizes functions related to the simulator device 100 in accordance with a program stored in the memory device 303. The interface device 305 is used as an interface for connecting to a network. The display device 306 displays a GUI (Graphical User Interface) or the like by a program. The input device 307 includes a keyboard and mouse, buttons, a touch panel, and the like, and is used to input various operation instructions.

  FIG. 4 is a diagram illustrating a functional configuration example of the simulator device 100 according to the present embodiment. In FIG. 4, the user behavior model 110, the environment model 120, the API 130, the MAS engine 140, and the bandwidth estimation unit 150 are realized by a process that the CPU 304 executes one or more programs installed in the simulator device 100. The input data storage 160 and the output data storage 170 can be realized using, for example, the auxiliary storage device 302 or a storage device that can be connected to the simulator device 100 via a network.

  In the simulator apparatus 100, the user of the mobile terminal (communication terminal) in the event to be predicted is simulated by various parameters and models. The mobile terminal itself may be referred to as a “user”. A mobile terminal user that is simulated by various parameters and models is called an “agent”.

  The user behavior model 110 is an agent behavior algorithm in a future event on the simulation. The agent performs the movement behavior and the communication behavior calculated every unit time based on the user behavior model 110 and parameters obtained from the input data.

The agent performs a movement action and a communication action according to the action purpose according to the scenario set in the agent data 164 stored in the input data storage 160. In the agent data 164, the following parameters are set for each agent.
Agent ID: Unique identifier for each agent Attribute: Group ID that is assigned to each group grouped according to the sex, age, hobbies, etc. of the agent and does not change during the simulation time
・ Speed: Walking speed of the agent ・ Stop limit: Time until the action purpose is switched when the agent is stopped ・ Start time: Time when the agent starts action ・ End time: Scheduled time when the agent finishes action ・ Start Location: Destination candidates / arrival places where the agent starts the action: Destination candidates / route points when the agent finishes the action: Action objectives to be implemented before reaching the arrival place (information for identifying the via points) The list of via points includes the following parameters for each action purpose.
・ Priority: Used to change the behavioral purpose of an agent with multiple behavioral goals when it is determined that the currently set behavioral goal cannot be processed for a certain period of time due to congestion or other factors. Parameter (The smaller the parameter, the higher the priority)
・ Task type: Action purpose type ・ Scheduled start time: Time when action purpose processing can be executed ・ Scheduled dwell time: When a destination candidate that can process an action purpose is reached, it stays until the purpose is achieved Time (scheduled end time takes precedence)
・ Scheduled end time: Time to stop staying during execution of the action purpose process and shift to the next purpose ・ Process completion flag: The initial value is 0 and becomes 1 when the action purpose process is completed. Each agent is placed in the simulation space and has a dynamically changing dynamic state. The dynamic state is a combination of a simulation time zone, an area type, and a moving state. The intra-simulation time zone is a current time zone in the simulation space (for example, a time zone of 1 hour interval such as 1 o'clock, 2 o'clock,...). The area type is a type (for example, indoor, outdoor, event venue, etc.) of a place (area) including the current location of the agent (hereinafter referred to as “current location”). The area type into which a certain coordinate is classified is given in advance.

  The movement state indicates the movement state of the agent and is classified into one of movement, stop, and stay. The movement indicates a state where the agent is moving on the simulation. The stop indicates that the agent is stopped on the simulation (because of the environment such as a signal, or due to the agent such as a matrix / congestion). The stay indicates that the agent is staying at the destination candidate. The movement means that a coordinate value indicating the current location of the agent changes in a two-dimensional coordinate system (movement range described later) in the simulation space.

  The user behavior model 110 includes a purpose management unit 111, a movement behavior unit 112, a communication behavior unit 113, a route calculation unit 114, and the like. The purpose management unit 111 controls changes in behavioral purpose set in advance in each agent and changes in movement behavior and communication behavior associated with the change in behavioral purpose. The purpose management unit 111 also uses the route calculation unit 114 to generate an agent movement route. Each agent moves using a place that satisfies the action purpose set for each agent as the destination.

  The movement action unit 112 determines the movement action of the agent during the simulation time. The communication action unit 113 determines the communication action of the agent. The route calculation unit 114 calculates a movement route to the destination candidate that the movement action unit 112 follows.

  The environment model 120 is a mechanism for simulating an event space on the simulation and returning results for the mobile behavior and communication behavior performed by the agent. The environment model 120 includes the movement behavior performed by the user behavior model 110 according to the movement range of the agent simulating roads and buildings, and the communication range of the agent simulating LTE and Wi-Fi (registered trademark). Determine whether communication behavior is possible.

  The agent moves only on a plane that is a two-dimensional representation of the movement range and the destination candidate in the simulation space. FIG. 5 shows an image related to the movement range of the agent and the destination candidates. The destination candidate means a place that can be the destination of the agent (that is, a place that can satisfy the action purpose of the agent). Information regarding the movement range and destination candidates is included in the movement range / destination data 166 stored in the input data storage 160.

  The destination candidates are handled as a set of two-dimensional coordinates, and the number of coordinates is preset for each destination candidate. A destination candidate in which an agent stays at all coordinates becomes an obstacle when another agent passes or reaches the destination (to reproduce congestion and a queue). The movement range may be temporarily prohibited from moving according to a preset time.

  In addition, for the destination candidate, the type of action purpose that can be processed is set as the task type. An action purpose is set in advance for the agent, and the goal is achieved when the set action purpose reaches a destination candidate that can be processed and stays for a certain period of time. An agent's action is completed when all action objectives have been achieved.

  The environment model 120 includes a mobile environment control unit 121 and a communication environment control unit 122. The movement environment control unit 121 determines whether or not the movement behavior of the agent that the movement behavior unit 112 is to implement is acceptable.

  The communication environment control unit 122 determines whether or not the communication behavior of the agent that the communication behavior unit 113 intends to implement is acceptable. Whether or not the communication action is possible is determined based on whether or not the position of the agent is included in a preset communication range.

  FIG. 6 is a diagram illustrating an image related to a communication range. An agent can perform a communication action when the agent is present on a plane that is a two-dimensional representation in the simulation space and serves as a communication range. A communication range ID is set as an identifier for each communication range, and the communication range can be expressed in any plane for each communication method such as Wi-Fi (registered trademark) and LTE (additional types of communication methods are also possible ). In each communication range, an upper limit value of the uplink (UL) / downlink (DL) traffic amount that can be used per unit time and an upper limit value of the number of connected terminals are set, and the number of connected terminals has already reached the upper limit value. New communication cannot be performed within the communication range. Information regarding the communication range is included in the communication range data 165 stored in the input data storage 160. In FIG. 6, communication ranges L1, L2, and L3 are illustrated as LTE communication ranges, and W1 is illustrated as a Wi-Fi (registered trademark) communication range. The agent A1 is located at a position included in the communication range L2 and the communication range W1.

  The communication environment control unit 122 manages the number of connected terminals in all communication ranges in the simulation space.

  The MAS engine 140 controls the entire simulation (there are commercially available products having equivalent functions, and these can also be used). For example, the MAS engine 140 manages the passage of time in a simulation space, and for each agent, a mobile behavior and a communication behavior according to an environment model 120 that simulates an event space on the simulation and a user behavior model 110 that simulates the behavior of the agent. Is calculated for each unit time by the movement action unit 112 and the communication action unit 113.

  The API 130 exchanges necessary data among the MAS engine 140, the user behavior model 110, and the environment model 120, and outputs an behavior log 172 that is a simulation result that is a necessary parameter for the bandwidth estimation unit 150. The action log 172 is output to and stored in the output data storage 170 at the same time as being passed to the bandwidth estimation unit 150.

  The bandwidth estimation unit 150 receives the action log 172 received from the API 130 or acquired from the output data storage 170 and the base station data 171 and the bandwidth calculation formula / parameter data 172 stored in advance in the input data storage 160. The wireless zone usable bandwidth is calculated, and the calculation result is output to the output data storage 170 as the bandwidth estimation result 171.

  In order to execute the band estimation process in the present embodiment, the action log 172 is necessary. Therefore, the band estimation unit 150 stores the output data storage 170 before executing the calculation of the wireless section available band. If there is no action log 172, the process is executed by the MAS engine 140. After the action log 172 of the target event is generated, the band estimation process is executed. If the action log 172 has already been generated, the band estimation process is performed without executing the process of the MAS engine 140.

(Processing procedure executed by simulator device 100)
Hereinafter, a processing procedure executed by each functional unit in the simulator apparatus 100 will be described.

<MAS engine 140>
FIG. 7 is a flowchart for explaining an example of a processing procedure executed by the MAS engine 140.

  At the start of the generation of the action log 172, the MAS engine 140 reads the communication application data 163, the agent data 164, the communication range data 165, and the movement range / destination data 166 from the input data storage 160, and at the time in the simulation space. t is initialized (t = 0) (S101). In addition, each agent has an agent status (defined in the agent data 164) as a parameter indicating an action situation in the simulation space, and the status of all agents is initialized to “Before Action Start”. The environment is also initialized.

  Subsequently, the MAS engine 140 sets the status of each agent whose start time is t and the status is “Before Action Start” to “being active”, and is intended to set or change the action purpose of each agent. The management unit 111 is executed (S102). At this time, the agent ID of each agent is input to the purpose management unit 111, and the purpose management unit 111 sets an action purpose for each corresponding agent and determines the movement route of each agent.

  Subsequently, the MAS engine 140 initializes the action flags of all agents whose status is “being active” to 0 (S103). Subsequently, the MAS engine 140 selects one agent whose status is “being active” and whose action flag is 0 (S104). Subsequently, the MAS engine 140 causes the movement behavior unit 112 to determine the movement behavior of the selected agent (hereinafter referred to as “target agent”) (S105). At this time, the agent ID of the target agent is input to the movement action unit 112. Subsequently, the MAS engine 140 sets the action flag of the target agent to 1 (S106).

  When steps S104 to S106 are executed for all agents whose status is “being active” and the action flag is 0 (Yes in S107), the MAS engine 140 determines the communication action of each agent. The communication action unit 113 is executed (S108).

  Subsequently, the MAS engine 140 outputs to the API 30 an action log 172 that is information indicating the movement action and the communication action adopted by each agent whose status is “being active” and whose action flag is 1. (S109). Subsequently, the MAS engine 140 advances the current time t in the simulation space by one unit time (S110).

  Steps S102 to S110 are repeated until all agents finish their actions (S111).

<Purpose management unit 111>
FIG. 8 is a flowchart for explaining an example of a processing procedure executed by the purpose management unit 111. When the agent is requested from the MAS engine 140 at the time t when the agent starts the action (step S102 in FIG. 7), the purpose management unit 111 requests the change of the action purpose from the mobile action unit 112 as described later. If so, execute the process.

  In step S201, the purpose management unit 111 acquires agent data 164 corresponding to the agent ID input from the request source.

  Subsequently, the purpose management unit 111 determines whether the request source is the MAS engine 140 (S202). That is, in step S102 of FIG. 7, it is determined whether or not the process related to the agent that starts the action should be executed.

  If the request source is the MAS engine 140 (Yes in S202), the list order is determined from the waypoints (behavioral purpose list) included in the agent data 164 of the processing target agent (hereinafter referred to as “target agent”). The first (for example, the scheduled start time is the earliest) action purpose is selected (S203).

  Subsequently, the purpose management unit 111 can process the task type of the selected action purpose, and sets a destination candidate closest to the current location as the destination of the target agent (S204). Note that the initial current location (movement start location) of each agent is specified by the start location set in the agent data of each agent.

  Subsequently, the destination management unit 111 sets the start location set in the agent data 164 of the target agent as the movement source, sets the destination selected in step S204 as the movement destination, and moves between the movement source and the movement destination. The route calculation unit 114 is caused to execute the movement route calculation (S205). Note that the source, the destination, and the agent ID of the target agent are input to the route calculation unit 114.

  On the other hand, when the mobile action unit 112 described later is a request source (No in S202), that is, when a change in action purpose is requested from the mobile action unit 112 for an agent that has already started action, the purpose management unit 111 determines whether or not the current time t has passed the end time set in the agent data 164 of the target agent or the scheduled end time for all action purposes (S206).

  When the current time t has passed the end time or the scheduled end time (Yes in S206), the purpose management unit 111 sets the arrival location set in the agent data 164 of the target agent as the destination of the target agent. Set (S207).

When the current time t has not passed the end time or the scheduled end time (No in S206), the purpose management unit 111 includes the following among the action purposes included in the waypoints set in the agent data 164 of the target agent: The presence or absence of an action purpose that satisfies all the conditions (a) to (c) is determined (S208).
(A) The processing completion flag is 0.
(B) The current time t has passed the scheduled start time.
(C) The current time t has not reached the scheduled end time.

  If there is one or more applicable action objectives (Yes in S208), the objective management unit 111 selects any one of the applicable action objectives according to a preset policy (S209). The pre-set policies are, for example, to select the action purpose in the order of (1) low priority (smaller priority), (2) closest to the current location, (3) earliest scheduled end time. It is.

  Subsequently, the destination management unit 111 selects a destination candidate closest to the current location of the target agent (for example, the closest) among the destination candidates that can process the task type of the selected behavioral purpose. The destination is set (S210).

  If there is no corresponding action purpose in step S208 (No in S208), it is determined that there is no action purpose that can be executed, and the staying state is maintained without changing the action purpose.

  Subsequent to steps S207 and S210, the purpose management unit 111 inputs the current source and the destination to the route calculation unit 114 using the current location of the target agent as the source, the destination of the target agent as the destination, The route calculation unit 114 is made to calculate a new movement route of the target agent (S211). The agent ID of the target agent is also input to the route calculation unit 114.

<Route calculator 114>
FIG. 9 is a flowchart for explaining an example of a processing procedure executed by the route calculation unit 114. The processing procedure of FIG. 9 is called in step S205 or S211 of FIG.

  In step S <b> 301, the route calculation unit 114 sets the input movement source and destination (coordinate values indicating each), the movement range and destination information defined in the movement range / destination data 166, and presetting The route calculation from the movement source to the movement destination is executed based on the determined policy. The preset policy is, for example, searching for a route with the shortest distance. The route calculation (or route search) may be performed using a known method.

  Subsequently, the route calculation unit 114 associates information indicating the calculated movement route (hereinafter referred to as “movement route information”) with the input agent ID, for example, the memory device 303 or the auxiliary storage device 302. (S302). If the travel route information is already associated with the agent ID, the travel route information is overwritten with new travel route information.

<Mobile action unit 112>
FIG. 10 is a flowchart for explaining an example of a processing procedure executed by the mobile action unit 112. In response to a request from the MAS engine 140, the mobile behavior unit 112 determines the current location at t + 1 with respect to the current time t in the simulation space at the target agent based on the travel route information of the target agent. Note that the processing procedure of FIG. 10 is called in step S105 of FIG.

  In step S401, the movement behavior unit 112 confirms the movement state of the dynamic attribute of the agent (target agent) associated with the input agent ID. When the movement state is “movement” or “stop” (No in S402), the movement action unit 112 is set in the current location of the target agent and the agent data 164 of the target agent in the current time t in the simulation. Using the speed, calculate the range that the target agent can move per unit time, and within the range that can be moved, the remaining distance is the minimum for the route to the destination indicated by the target agent's movement route information. Is temporarily selected as a destination candidate position (S403). For example, a range of a circle centered on the current location of the target agent and having a radius of speed × unit time is calculated as a movable range.

  Subsequently, the mobile behavior unit 112 activates the mobile environment control unit 121 and inputs the agent ID of the target agent and the position information indicating the temporarily selected position to the mobile environment control unit 121 to finally determine the target agent. Position information indicating a specific destination is determined (S404).

  Note that the mobile behavior unit 112 updates the simulation time zone and area type of the dynamic attribute of the target agent as necessary at this timing. That is, if the time zone within the simulation of the target agent does not match the time zone of the current time t, the time zone within the simulation of the target agent is updated to the time zone to which the current time t belongs. If the area type of the position related to the confirmed position information is different from the area type of the target agent, the area type of the target agent is updated to the area type of the position related to the position information.

  Subsequently, the mobile behavior unit 112 determines whether or not the position indicated by the position information returned from the mobile environment control unit 121 is included in the destination of the target agent or another destination candidate having the same task type as the destination. Is determined (S405). When the position information is included in the destination or the other destination candidates (Yes in S405), the mobile behavior unit 112 adds the scheduled residence time of the current action purpose of the target agent to t, The earlier of the scheduled end time for the current action purpose of the target agent is set in the target agent as the stay end time, and the behavior state of the target agent is changed to “stay” (S406).

  If the location information returned from the mobile environment control unit 121 is not included in the destination of the target agent or other destination candidates having the same task type as the destination (No in S405), the mobile behavior unit 112 The difference dst_new−dst_old between the distance dst_old from the current location of the target agent to the destination of the target agent and the distance dst_new from the location indicated by the location information returned from the mobile environment control unit 121 to the destination of the target agent is Then, it is determined whether or not it is equal to or greater than a predetermined threshold th_dst (S407).

  If the difference is greater than or equal to the threshold th_dst (Yes in S407), the movement environment control unit 121 sets the movement state of the target agent to “movement” if the movement state of the target agent is “stop” (S408). ).

  When the difference is smaller than the threshold th_dst (No in S407), if the movement state of the target agent is “movement” (Yes in S409), the moving action unit 112 sets the current time t as the stop state start time, The stop state start time is linked to the agent ID of the target agent, and the movement state of the target agent is changed to “stop”. (S410).

  On the other hand, if the movement state of the target agent is “stop” (No in S409), the movement action unit 112 determines whether or not the current time t in the simulation space exceeds the stop state start time + stop limit for the target agent. Is determined (S411). If the current time t exceeds the stop state start time + stop limit (Yes in S411), the mobile action unit 112 determines that the target agent has been in a stop state for a long time, and calls the purpose management unit 111 to call the target agent. The action purpose is changed (S412). At this time, the agent ID of the target agent is input to the purpose management unit 111. Subsequently, the movement action unit 112 changes the action state of the target agent to “movement” (S413).

  On the other hand, when the movement state of the target agent is “staying” (Yes in S402), the moving behavior unit 112 confirms the staying end time associated with the agent ID of the target agent (S414). If the current time t in the simulation space has passed the stay end time (Yes in S415), the mobile behavior unit 112 sets 1 to the processing completion flag for the current behavior purpose of the target agent, and then The mobile behavior unit 112 activates the purpose management unit 111 and attempts to reset the behavior purpose of the target agent (S416). If the resetting is successful, the movement state of the target agent is changed to “movement” (S418). When the purpose management unit 111 is activated, the agent ID of the target agent is input to the purpose management unit 111.

<Communication action unit 113>
FIG. 11 is a flowchart for explaining an example of a processing procedure executed by the communication action unit 113. The processing procedure of FIG. 11 is called in step S108 of FIG. The communication action unit 113 uses the communication application data 163 stored in advance in the input data storage 160 after the movement action unit 112 determines the movement destinations of all agents at the current time t in the simulation time. The communication application is selected and the generated traffic is determined. For example, there are as many types of parameters of the communication application data 163 as there are combinations of agent attributes and dynamic states.

  In step S501, the communication behavior unit 113 confirms the communication flag associated with the input agent ID. The communication flag is a flag indicating whether or not the agent is communicating, and is set to 0 when the agent starts to act. Note that 0 indicates that communication is not being performed, and 1 indicates that communication is being performed.

  Subsequently, the communication behavior unit 113 determines whether or not to use the communication application according to the communication probability preset in the communication application data 163 for each agent having the communication flag of 0 (S502).

  Subsequently, the communication behavior unit 113 sets 1 to the communication flag of each agent that has been determined to use the communication application in step S502, and each of the corresponding agents according to the application selection ratio set in the communication application data 163. The communication application used by the agent is determined (S503). For each communication application, the amount of traffic to be communicated with one use and the requested bandwidth per unit time are set in the communication application data 163 for each DL / UL. For each agent that uses a communication application, the remaining traffic volume is generated as a variable, and the traffic volume for communication (DL / UL) that is set in the communication application data 163 for the communication application and that is communicated once (DL / UL) is Set to the amount of remaining traffic.

  Subsequently, the communication action unit 113 generates a list of combinations of the agent ID of the agent whose communication flag is 1 and the requested bandwidth per unit time (S504). Subsequently, the communication action unit 113 uses the list generated in step S504 as an input to the communication environment control unit 122, and generates a list of available bands at the current time t in the simulation space, which is generated by the communication environment control unit 122. Receive (S505). The list of available bandwidths is a list including available bandwidths per unit time assigned to the agent related to each element of the agent ID and requested bandwidth list.

  Subsequently, the communication behavior unit 113 updates the remaining traffic amount of each agent based on the list of available bands received from the communication environment control unit 122 (S506). That is, the remaining traffic volume of each agent is updated by the remaining traffic volume−usable bandwidth × unit time.

  Subsequently, the communication action unit 113 sets 0 to the communication flag of the agent whose remaining traffic amount is 0 or less (S507). As a result, the communication behavior of the agent ends.

<Mobile environment control unit 121>
FIG. 12 is a flowchart for explaining an example of a processing procedure executed by the mobile environment control unit 121. The processing procedure in FIG. 12 is called in step S404 in FIG. The movement environment control unit 121 manages information regarding the movement range and destination candidates of the agent expressed in two dimensions, and current position information regarding all agents in the simulation space.

  In step S601, the mobile environment control unit 121 acquires the current location of the agent (target agent) related to the input agent ID. Subsequently, the movement environment control unit 121 does not have a prohibited area on the route to the destination indicated by the location information (temporarily selected location information) input from the purpose management unit 111 from the current location. It is determined whether or not (S602). For example, it is determined whether or not movement is restricted due to the presence of a signal or the like. The range of the traffic prohibited area such as a signal is set in advance with respect to the movement range.

  When there is no corresponding prohibited road zone (Yes in S602), the movement environment control unit 121 determines whether or not the movement destination or the movement range serving as a route to the movement destination is blocked by another agent. Is determined (S603). That is, it is determined whether or not movement is restricted due to congestion or the presence of a matrix. The determination can be performed based on whether or not the current location of another agent is included in the movement range.

  When the movement destination or the movement range serving as a route to the movement destination is not blocked by another agent (Yes in S603), the movement environment control unit 121 determines that the destination candidate of the movement destination is another agent. It is determined whether or not it is blocked by (S604). That is, it is determined whether or not there are restrictions on movement due to use of destination candidates by other agents.

  When the destination candidate is not blocked by another agent (Yes in S604), the mobile environment control unit 121 outputs the position information input from the mobile behavior unit 112 to the mobile behavior unit 112 as it is (S605). .

  If the destination candidate is blocked by another agent (No in S604), the mobile environment control unit 121 determines whether there is a space that can be retained in the destination candidate (S606). In other words, other destinations where the target agent can stay within the movable range (eg, on the circle centered on the current location of the target agent and the radius to the destination indicated by the input movement information) Determine if it exists.

  If there is a space that can stay (Yes in S606), the movement environment control unit 141 outputs the position information (the coordinates of the destination) of the space to the movement action unit 112 (S607).

  On the other hand, when the determination result in step S603, step S604, or step S606 is negative, the mobile environment control unit 121 indicates a movable area (eg, the current location of the target agent is the center, and the input movement information indicates The position information of the place closest to the destination is output to the moving action unit 112 in a circular area having a radius to the destination (S608).

  Following step S605, S607, or S608, the mobile environment control unit 121 updates the current location of the target agent with the position information output to the mobile action unit 112 in step S605, S607, or S608 (S609). .

<Communication environment control unit 122>
FIG. 13 is a flowchart for explaining an example of a processing procedure executed by the communication environment control unit 122. The processing procedure of FIG. 13 is called in step S505 of FIG.

  In step S701, the communication environment control unit 122 lists, for each agent related to each agent ID input from the communication action unit 113, a communication range including the current location of the agent, and only one communication range is listed. The connection destination of the selected agent is determined as the communication range. For agents that are not included in any communication range, the communication range is not listed. In addition, a communication range in which there is no vacancy (residual) in the number of connected terminals is not listed.

  Subsequently, when there is an agent that lists a plurality of communication ranges related to different communication methods, the communication environment control unit 122 selects a communication range of a connection destination for each agent according to a preset policy. (S702). The preset policy is, for example, that Wi-Fi (registered trademark) is preferentially connected over LTE.

  Subsequently, the communication environment control unit 122 selects one communication range according to a preset policy for an agent in which a plurality of communication ranges that can be used in the same communication method are listed (S703). The predetermined policy is, for example, that a communication range having a relatively large remaining with respect to the upper limit of the number of connected terminals is preferentially selected.

  In steps S702 and S703, the communication range is preferentially selected for an agent that has already been connected to one of the communication ranges at the time (t-1) one unit time before the current time.

  As a result of execution of steps S701 to S703, for each communication range, a list of agent IDs and request bands of agents connected to the communication range is generated.

  Subsequently, the communication environment control unit 122 may connect in steps S701 to S703 so that the number of agents to be connected is equal to or less than the upper limit value for a communication range in which the number of agents to be connected exceeds the upper limit value of the number of connected terminals. Some of the determined agents are excluded from connection targets (S704). At this time, an agent that is not connected to the communication range is preferentially selected as an exclusion target at a time (t−1) one unit time before the current time t. That is, a situation where an agent that has already been in communication suddenly becomes unable to communicate is avoided.

  Subsequently, the communication environment control unit 122 allocates a bandwidth per unit time to each agent determined to be connected to the communication range for each communication range (S705). Specifically, for each communication range, the upper limit of the bandwidth of the communication range is distributed according to a preset policy, and assigned as an available bandwidth per unit time of each agent (eg, each connected to the communication range) Apportioned by the requested bandwidth of the agent). Such assignment is done in the same way for both UL and DL.

  Note that the available bandwidth of an agent that has a requested bandwidth but could not connect to the communication range is set to 0 for both DL and UL. That is, the usable bandwidth of the agent not included in any communication range or the agent excluded in step S704 is set to zero.

  Subsequently, the communication environment control unit 122 outputs to the communication action unit 113 a list in which the requested band portion of the combination list of the input agent ID and the requested band is replaced by the available band (S706).

<API130>
Next, details of step S109 in FIG. 7 will be described. In step S109, the API 130 mediates data exchange among the user behavior model 110, the environment model 120, the MAS engine 140, and the input data storage 160, and the execution result of the MAS engine 140 is used as the behavior log 172. It is output as an input to the band estimation unit 150. The action log 172 includes, for each agent, an agent ID, a time, a current location (coordinates), an ID of a connected communication range, a used communication method, a used communication application, a communication traffic amount (allocated usable bandwidth). ) Including items such as (DL / UL), and is passed as an input value to the bandwidth estimation unit 150 and stored in the output data storage 170 for each unit time specified in advance.

  It is assumed that the movement range / destination data 166 prepared as input data is set assuming the actual scale of the target event, and the communication application data 163 is also set per person. Assuming that

<Band Estimator 150>
Next, the processing operation of the bandwidth estimation unit 150 will be described. The bandwidth estimation unit 150 receives an action log 172 as a result of a user behavior simulation by the MAS engine 140 from the API 130, and also receives base station data 161 and bandwidth calculation formula / parameter data 162 from the input data storage 160. Is done. Based on the action log 172, the base station data 161, the band calculation formula / parameter data 162, etc., the band estimation unit 150 can use an available band (a wireless section soluble band or a throughput in a predetermined location (position) / time). May be called).

The base station data 161 is composed of m (b _i , x _i , y _i ) (i = 1 to m) according to the number m of base stations. x _i and y _i are the coordinates of the base station, and b _i are the identifiers of the base station. The parameter specified at the time of band estimation is composed of (x, y, t, [b _z ]). x and y are the coordinates of the estimated location, and t is the estimated time. b _z is used to specify the base station to be connected when the terminal at the coordinates x and y of the estimated location performs wireless communication. When b _z is not specified, the base station b _z to be connected is determined according to a predetermined method (eg, the nearest base station from coordinates x, y). Note that the parameters (x, y, t, [b _z ]) specified at the time of band estimation may be included in the band calculation formula / parameter data 162, or separately from the band calculation formula / parameter data 162. It is good also as inputting into the simulator apparatus 100 (the band estimation part 150).

  FIG. 14 is a flowchart for explaining an example of a processing procedure executed by the bandwidth estimation unit 150.

  First, the bandwidth estimation unit 150 filters the data of the action log 172 that is the result of the simulation based on a pre-designated time zone (S801). Specifically, an action log at time t is extracted from an action log 172 that is a result of the simulation. The action log 172 is generated based on a time granularity (1 minute, 1 second, etc.) specified in advance, and t is specified according to the time granularity (eg, the action log 172 is generated with a 1 second granularity). If so, specify t so that the minimum resolution is seconds, such as HH: MM: SS). The time t is a time within the previously specified time zone. For example, S801 to S803 are executed for each time in the time zone for each time of the above granularity.

  Next, input parameters used in the band calculation formula are calculated based on the filtered action log and the like (S802). In the present embodiment, the distance d to the connection destination base station, the number n of users in the area, and the connection destination base station traffic volume T are calculated as parameter candidates, but any parameter that can be calculated using the value of the action log is used. For example, parameters may be added.

The distance d to the destination base station, the estimated location of the coordinates (x, y), the identifier b _z a is the coordinate of the base station (x _z, y _z) from the calculated, for example, by the following equation.

エリア内ユーザ数nは、例えば以下の方法で算出する。

The number n of users in the area is calculated by the following method, for example.

  A circular area centered on the coordinates (x, y) of the estimated location and with the radius of the parameter r given in advance is formed. From the coordinate information of all agents in the filtered action log, the circular area Count the number of agents present in n.

  As a calculation method of the connection destination base station traffic amount T, there are (1) calculation method example 1 and (2) calculation method example 2 as described below.

(1) Example 1 of calculation method of traffic amount T of connected base station
For all agents in the filtered action log, the base station b _i ^j (i = 1) connected when communicating for each agent j according to a method given in advance based on the current coordinates of the agent. ~m) selects: to (eg coordinates (x _j, y _j of each agent), nearest: and (example closest) base station of the agent destination base station). At this time, the DL traffic amount u _j of the agent j whose connection destination base station is b _z is added to T.

(2) Example 2 of calculation method of traffic amount T of connected base station
It is similar to the principle calculation method Example 1, using U _j calculated by the following method instead of DL traffic u _j of each agent j used for T calculation. As initial values, i = 0 and B _j = ∞, and the following steps 1 to 3 are executed a predetermined number of times (l times).

Step 1) For each agent j in the filtered action log, the smaller of u _j or B _j is set as U _j ⁽ⁱ⁾ .

Step 2) Calculate the connection destination base station traffic amount T _j ⁽ⁱ⁾ when the coordinates (x _j , y _j ) of each agent j and the connection destination base station b _i ^j are specified, An estimated band is calculated using T _j ⁽ⁱ⁾ and other parameters (d, n in this embodiment), and B _j is updated by setting this estimated band to B _j . T _j ⁽ⁱ⁾ is calculated by adding U _k (k ≠ j) of other agents connected to the same base station as b _i ^j to which the agent j is connected.
Step 3) i = i + 1.

  Finally, in step S803 in FIG. 14, the band estimation unit 150 receives d, n, and T as input, calculates an estimated band (wireless section available band) based on the following band calculation formula f, and band-estimates the calculation result. The result 171 is output to the output data storage 170. Or you may output to the exterior of the simulator apparatus 100. FIG.

上記の式fにおいて、a={a₀, a₁, a₂, a₃, a₄}は帯域算出式fのパラメータ群であり、例えば帯域算出式・パラメータデータ１６２として予め与えられる。

In the above formula f, a = {a ₀ , a ₁ , a ₂ , a ₃ , a ₄ } is a parameter group of the band calculation formula f, and is given in advance as, for example, the band calculation formula / parameter data 162.

  In the present embodiment, the band calculation formula f is shown by the above formula, but other formulas may be used as long as the formula is a parameter calculated from the action log.

  In the above example, DL traffic volume available bandwidth is calculated using DL traffic volume, but UL traffic volume is used for UL traffic volume as well as DL by using UL traffic volume. Calculated.

(Example)
Hereinafter, a specific operation example of the wireless zone usable band estimation by the simulator device 100 described above will be shown as an example.

  In this embodiment, in order to reproduce mobile terminal user behavior at the time of an event for a comic market, a user behavior model (one mobile terminal user as one agent) is used to simulate with 2000 agents. The result is used as an input parameter for the available bandwidth estimation.

  The user behavior model 110 starts activities from the station after 5:00, stays in the waiting area until 10:00, and after 10:00 the main purpose task assuming goods purchase in the product sales area and break / cosplay tour / product sales area A scenario was set in which sub-tasks were performed in order assuming the excursions at the station, and when all tasks were completed or the event end time was exceeded, the station moved to the station and ended the action.

  FIG. 15 shows information around the venue to be estimated. The area of FIG. 15 is a part of the product sales area at the event venue, and the location setting of four base stations in the area is given as shown in FIG. 15 based on the field survey. In FIG. 15, four base stations are shown by triangular pictures.

  For the parameter group a of the estimation formula, values obtained by regression analysis using measured value data measured in the corresponding area on the day of the event were used.

  FIG. 16 shows a scatter diagram and a linear approximation line of estimated values and measured values of the wireless zone usable bandwidth (throughput) according to this embodiment. In addition, as a comparison target, a result estimated by the technique of Non-Patent Document 2 using a wireless parameter acquired at the time of throughput measurement is also shown. As shown in FIG. 16, by using the technology according to the present invention, it is possible to estimate a wireless zone usable band with an accuracy close to that equivalent to a case where a wireless parameter on the day of an event that is difficult to obtain in advance is input. I understand that.

(Effect of embodiment)
By using the technology according to the present embodiment, it is possible to evaluate the improvement effect of the wireless zone available bandwidth by the communication resource deployment plan by spatially estimating the wireless zone available bandwidth in the venue and its surroundings on the day of the event. It becomes possible.

As a result, in event traffic countermeasures, when considering the location of communication resources based on the prediction result of event traffic demand, the area where the wireless section available bandwidth is small in the event venue and its surroundings is detected, and additional communication is added to the corresponding area. By allocating resources, a mobile communication service that satisfies the required communication quality can be realized with the minimum necessary communication resources.
Even when the amount of communication resources that can be deployed is insufficient, a schedule for changing and controlling the location of communication resources is planned in advance for an area where the available bandwidth is small, based on the estimation result of the available bandwidth of the wireless section. Thus, an effect of suppressing the possibility of communication quality deterioration on the day of the event is expected.

(Summary of embodiment)
As already explained, in considering the location of communication resources for the purpose of event traffic countermeasures, it varies according to the behavior of mobile terminal users on the event day in order to spatially estimate the available bandwidth of the radio section on the event day A problem is a method for spatially calculating input parameters related to wireless quality.

Therefore, in this embodiment, each mobile terminal user at the time of the event is regarded as a moving body, the user's movement / communication behavior is modeled, and the user behavior on the day of the event is simulated based on the parameters simulating the target event Thus, the input parameter for estimating the wireless zone usable bandwidth is spatially calculated. Then, the band estimation unit 150 receives the output result of the simulator device 100 as an input, and estimates a wireless section available band at a designated time and position according to a mathematical formula given in advance.
By spatially estimating the available wireless bandwidth of the venue and its surroundings on the day of the event, it becomes possible to evaluate the improvement effect of the available wireless bandwidth by the communication resource deployment plan. In addition, it is possible to change and control the arrangement of communication resources according to the time on the day of the event, thereby improving the quality of the mobile communication environment on the day of the event.

  As described above, according to the present embodiment, simulator means for calculating an action log including the positions and traffic amounts of a plurality of agents simulating a user of a communication terminal in a simulation space, and at a specified time Filtering means for acquiring a specified time action log as data of the action log from the action log, and a base station including a position of each base station provided in the simulation space, with a wireless zone available band at the specified time at the specified position There is provided a wireless zone usable bandwidth estimation device comprising calculation means for calculating using data and the specified time action log.

  The simulator apparatus 100 described in the embodiment is an example of a simulator unit, and the band estimation unit 150 is an example of a filtering unit and a calculation unit.

  The calculation means calculates, for example, a distance between a connection destination base station that is a connection destination base station to which a communication terminal at the specified position connects and the specified position using the base station data, and the specified position The number of users in a predetermined area including the specified time behavior log is calculated using the specified time behavior log, the connection destination base station traffic amount that is the traffic amount in the connection destination base station is calculated using the specified time behavior log, and the distance The wireless section available bandwidth is calculated using the number of users and the connection destination base station traffic volume.

  The calculating means sets the area of a circle with a predetermined radius centered on the specified position as the predetermined area, and counts the number of agents existing in the predetermined area based on the specified time action log. The number of users in the predetermined area may be calculated.

  The calculating means may calculate the connection destination base station traffic volume using the traffic volume of each agent based on the designated time action log.

  The simulator means includes a mobile behavior unit that changes the locations of the plurality of agents per unit time based on agent data preset for each agent, and an agent that has not started communication every unit time. The traffic volume is determined to be the remaining traffic volume of the agent, and the remaining traffic volume of each agent that has started communication is updated by subtracting the available bandwidth allocated to the agent. For each unit time of the communication action unit, for one or more communication ranges in the simulation space, the remaining traffic amount of each agent whose location is included in the communication range, and the unit time set in the communication range Based on the amount of traffic available A communication environment control unit for allocating the available bandwidth to the traffic, a location obtained by the mobile action unit, and data including the remaining traffic amount obtained by the communication action unit, the position and the traffic It is good also as providing the output means which outputs as said action log containing quantity. The API 130 described in the embodiment is an example of an output unit.

  Further, an upper limit value of the number of connections is set in each communication range, and the communication environment control unit, for each communication range, within the range of the upper limit value of the number of connections set in the communication range, The available bandwidth may be assigned to an agent whose location is included in the communication range.

  The communication environment control unit may allocate the available bandwidth with respect to a communication range having a relatively large remainder with respect to the upper limit value for an agent whose location is included in a plurality of communication ranges.

  Each of the agents is set with information indicating one or more waypoints, and has an action control unit that sets a travel route that passes through each waypoint set for the agent. The movement action unit may change the location of each agent based on the movement route calculated for the agent.

  The information indicating the waypoint is an action purpose of the agent, and the simulation space includes a plurality of destination candidates each of which can satisfy any one of the plurality of kinds of action purposes, and the action For each agent, the control unit selects a destination candidate that can satisfy the action purpose as a destination, and sets a travel route from the location of the agent to the destination selected for the agent. It is good to do.

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

100 simulator device 140 MAS engine 130 API
110 User Behavior Model 120 Environmental Model 160 Input Data Storage 170 Output Data Storage 300 Drive Device 301 Recording Medium 302 Auxiliary Storage Device 303 Memory Device 304 CPU
305 interface device 306 display device 307 output device 111 purpose management unit 112 movement behavior unit 113 communication behavior unit 114 route calculation unit 121 movement environment control unit 122 communication environment control unit B bus 161 base station data 162 bandwidth calculation formula / parameter data 163 communication Application data 164 Agent data 165 Communication range data 166 Movement range / destination data 171 Band estimation result 172 Action log

Claims (8)

Simulator means for calculating a behavior log including the position and traffic volume of a plurality of agents simulating a user of a communication terminal in a simulation space;
Filtering means for acquiring a specified time action log that is data of the action log at a specified time from the action log;
Computation means for calculating a wireless zone usable band at the designated time at the designated time using base station data including the position of each base station provided in the simulation space and the designated time action log. A wireless zone available band estimation device. The calculating means includes
A user in a predetermined area including the designated position is calculated by using the base station data to calculate a distance between the designated base station and a connection destination base station to which the communication terminal at the designated position is connected. The number is calculated using the specified time action log, and the connection destination base station traffic amount that is the traffic amount in the connection destination base station is calculated using the specified time action log.
The wireless section usable band estimation apparatus according to claim 1, wherein the wireless section usable band is calculated using the distance, the number of users, and the connection destination base station traffic volume. The calculating means includes
A circle area with a predetermined radius centered on the specified position is set as the predetermined area, and the number of agents existing in the predetermined area is counted based on the specified time action log. The number of users is calculated. The wireless section available band estimation apparatus according to claim 2, wherein the number of users is calculated. The calculating means includes
The wireless zone usable bandwidth estimation apparatus according to claim 2 or 3, wherein the connection destination base station traffic volume is calculated using the traffic volume of each agent based on the designated time action log. The simulator means includes
The mobile behavior means for changing the locations of the plurality of agents per unit time based on agent data preset for each of the agents;
For each unit time, the traffic volume of an agent that has not started communication is determined, the traffic volume is set as the remaining traffic volume of the agent, and the remaining traffic volume of each agent that has started communication is determined with respect to the agent. Communication action means to update by subtracting the allocated available bandwidth
For each unit time, for one or more communication ranges in the simulation space, the remaining traffic amount of each agent whose location is included in the communication range, and the traffic amount that can be used per unit time set in the communication range Communication environment control means for allocating the available bandwidth to each agent based on
Output means for outputting data including the location obtained by the movement behavior means and the remaining traffic amount obtained by the communication behavior means as the behavior log including the position and the traffic amount. The wireless zone usable band estimation apparatus according to any one of claims 1 to 4, wherein: A simulation step for calculating an action log including a position and a traffic amount of a plurality of agents simulating a user of a communication terminal in a simulation space;
A filtering step of acquiring a specified time action log that is data of the action log at a specified time from the action log;
The computer executes a calculation step of calculating a wireless zone usable band at the designated time at the designated time using base station data including the position of each base station provided in the simulation space and the designated time action log. A method for estimating a usable bandwidth in a radio section. In the calculating step, the computer
A user in a predetermined area including the designated position is calculated by using the base station data to calculate a distance between the designated base station and a connection destination base station to which the communication terminal at the designated position is connected. The number is calculated using the specified time action log, and the connection destination base station traffic amount that is the traffic amount in the connection destination base station is calculated using the specified time action log.
The wireless section usable band estimation method according to claim 6, wherein the wireless section usable band is calculated using the distance, the number of users, and the connection destination base station traffic volume.   The program for functioning a computer as each means in the radio | wireless area available band estimation apparatus of any one of Claims 1 thru | or 5.

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