JP2011055432A - Apparatus and method for control of communication traffic - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To carry out more prompt and accurate communication traffic control. <P>SOLUTION: A communication traffic control apparatus 600 is connected while being communicable with a wireless network control device 300 for controlling a base station 200, which controls a sector in which a mobile unit 100 is within a range. The communication traffic control apparatus includes: a positioning information acquisition unit 601 for acquiring positioning information including positional information of at least the mobile unit 100; a dynamic state information extraction unit 602 for extracting dynamic state information of a mobile unit user based on the positioning information acquired; and a control unit 603 for performing communication traffic control based on the extracted dynamic state information of the mobile unit user. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a communication traffic control apparatus connected in a communicable state with a radio network control apparatus that controls a base station that controls a sector in which a mobile station is located, and communication traffic executed by the communication traffic control apparatus It relates to a control method.

  Conventionally, there is a communication traffic control technique. In conventional communication traffic control, for example, the amount of communication traffic in a single node or the usage rate of a CPU or memory used in the processing of communication traffic is obtained, and the obtained value (communication traffic amount, etc.) is used as a reference. Thus, when those values exceed a predetermined threshold, the single node performs control such as refusing reception of signals from the outside. For example, Patent Literature 1 proposes a technique for obtaining the above-described communication traffic amount.

Japanese Patent Laid-Open No. 2007-12086

  However, in conventional communication traffic control, the amount of communication traffic is obtained as described above, and the obtained value is used as a reference. Therefore, communication traffic control must be performed after a situation (for example, congestion) occurs. I was doing control. For this reason, there is sufficient room for improvement from the viewpoint of preventing (rapid response) a situation requiring communication traffic control (for example, congestion).

  The present invention has been made to solve the above-described problems, and an object thereof is to execute faster and more accurate communication traffic control.

  In order to achieve the above object, a communication traffic control apparatus according to the present invention is a communication traffic control apparatus connected in a communicable state with a radio network control apparatus that controls a base station that controls a sector in which a mobile station is located. A positioning information acquisition unit that acquires positioning information including at least the position information of the mobile device, and a dynamics that extracts mobile device user dynamic information based on the positioning information acquired by the positioning information acquisition unit An information extraction unit, and a control unit that performs communication traffic control based on the mobile device user dynamic information extracted by the dynamic information extraction unit.

  In the communication traffic control device, the positioning information acquisition unit acquires positioning information including at least the position information of the mobile device, and the dynamic information extraction unit calculates the dynamic information of the mobile device user based on the acquired positioning information. Extract. And a control part performs communication traffic control based on the dynamic information of the extracted mobile device user. As described above, communication traffic control is performed based on the dynamic information of the mobile device user that causes the generation of communication traffic without using the communication traffic as a reference, so that quicker and more accurate communication traffic control can be executed. .

  The communication traffic control device according to the present invention further includes an attribute information holding unit that holds attribute information of each mobile device user, and the dynamic information extraction unit is configured to each mobile device held by the attribute information holding unit. Based on the attribute information of the user and the acquired positioning information, the behavior information for each attribute is extracted, and the control unit performs communication traffic control based on the extracted behavior information for each attribute. It is desirable. In this case, communication traffic control can be performed based on attribute-specific behavior information, and finer communication traffic control according to the attributes of each mobile device user can be performed.

  Note that examples of the communication traffic control by the control unit include communication traffic regulation control for preventing a congestion state or degenerate operation control for minimizing power consumption.

  By the way, the present invention can be regarded as an invention related to a communication traffic control method and can be described as follows. The communication traffic control method according to the present invention is a communication traffic control executed by a communication traffic control device connected in a communicable state with a radio network control device that controls a base station that controls a sector where a mobile station is located. A positioning information acquisition step for acquiring positioning information including at least the position information of the mobile device, and extracting dynamic information of the mobile device user based on the positioning information acquired by the positioning information acquisition step. A dynamic information extraction step; and a communication traffic control step for performing communication traffic control based on the dynamic information of the mobile device user extracted in the dynamic information extraction step.

  According to the present invention, the communication traffic control is performed based on the dynamic information of the mobile user who causes the generation of the communication traffic without using the communication traffic as a reference, so that the quicker and more accurate communication traffic control is executed. be able to.

It is a figure which shows the system configuration | structure of the communication system of 1st, 2nd embodiment. It is a figure which shows the function structure of the communication system of 1st Embodiment. It is a figure which shows the relationship between BTS shown in FIG. 2, and a sector. It is a figure which shows the example of user ID-PRACH PD GAI corresponding | compatible information. It is a figure for demonstrating the calculation method of calculation position information. It is a figure for demonstrating a sector Voronoi diagram. It is a figure for demonstrating the relationship between an area unit and movement information. It is a figure for demonstrating the calculation method of calculation position information. It is a figure for demonstrating the calculation method of calculation position information. It is a figure which shows the example of the attribute information which the attribute information holding part shown in FIG. 2 hold | maintains. It is a figure for demonstrating the relationship between attribute information and an area unit. It is a figure which shows the flow of the process in 1st Embodiment. It is a figure which shows the 1st example of the communication traffic control process of 1st Embodiment. It is a figure which shows the 2nd example of the communication traffic control process of 1st Embodiment. It is a figure which shows the 3rd example of the communication traffic control process of 1st Embodiment. It is a figure which shows the 4th example of the communication traffic control process of 1st Embodiment. It is a figure which shows the function structure of the communication system of 2nd Embodiment. It is a figure which shows the example of user ID-PRACH PD GAI corresponding | compatible information. It is a figure for demonstrating the calculation method of movement information. It is a figure for demonstrating the calculation method of movement information. It is a figure which shows the example of the movement information which the position extraction part shown in FIG. 2 outputs. It is a figure for demonstrating the relationship between an area unit and movement information. It is a figure which shows the example of the attribute information which the attribute information holding part shown in FIG. 2 hold | maintains. It is a figure for demonstrating the relationship between attribute information and an area unit. It is a figure for demonstrating the method by which the total part shown in FIG. 17 calculates population flow information by totaling movement information. It is a figure which shows the example of a display of population flow information. It is a figure which shows the flow of the process in 2nd Embodiment. It is a figure which shows the 1st example of the communication traffic control process of 2nd Embodiment. It is a figure which shows the 2nd example of the communication traffic control process of 2nd Embodiment. It is a figure which shows the 3rd example of the communication traffic control process of 2nd Embodiment. It is a figure which shows the 4th example of the communication traffic control process of 2nd Embodiment.

  Embodiments according to the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[First Embodiment]
Hereinafter, a first embodiment will be described in which population distribution information is extracted as mobile device user dynamic information and communication traffic control is performed based on the extracted population distribution information.

[Configuration of communication system]
FIG. 1 is a diagram illustrating a system configuration of a communication system 10 according to the present embodiment. As shown in FIG. 1, the communication system 10 includes a mobile device 100, a BTS (base station) 200, an RNC (radio network control device) 300, an exchange 400, and a management center 500. The management center 500 includes a social sensor unit 501, a petamining unit 502, a mobile demography unit 503, and a visualization solution unit 504.

  The exchange 400 collects the location information of the mobile device 100 via the BTS 200 and the RNC 300. The RNC 300 can measure the position of the mobile device 100 using the delay value in the RRC connection request signal when communication connection is established with the mobile device 100. The exchange 400 can receive the position information of the mobile device 100 measured in this way when the mobile device 100 performs communication connection. The exchange 400 stores the received position information, and outputs the collected position information to the management center 500 at a predetermined timing or in response to a request from the management center 500. Here, in general, the RNC 300 is composed of about 1,000 pieces and is arranged throughout Japan. On the other hand, about 300 exchanges 400 are arranged in Japan.

  As described above, the management center 500 includes the social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504. Each unit uses the position information of the mobile device 100. Perform statistical processing.

  The social sensor unit 501 is a server device that collects data including location information of the mobile device 100 from each exchange 400. The social sensor unit 501 is configured to receive data periodically output from the exchange 400 and acquire data from the exchange 400 according to a predetermined timing in the social sensor unit 501.

  The petamining unit 502 is a server device that converts data received from the social sensor unit 501 into a predetermined data format. For example, the petamining unit 502 performs the sorting process using the user ID as a key or for each area.

  The mobile demography unit 503 is a server device that performs aggregation processing on the data processed in the petamining unit 502, that is, count processing for each item. For example, the mobile demography unit 503 can count the number of users located in a certain area, or count the distribution of the located areas.

  The visualization solution unit 504 is a server device that processes the data aggregated in the mobile demography unit 503 so as to be visible. For example, the visualization solution unit 504 can map the aggregated data on a map. Data processed by the visualization solution unit 504 is provided to companies, government offices or individuals, and is used for store development, road traffic surveys, disaster countermeasures, environmental countermeasures, and the like. It should be noted that the information statistically processed in this way is processed so that individuals are not specified so as not to infringe privacy.

  The social sensor unit 501, petamining unit 502, mobile demography unit 503, and visualization solution unit 504 are all configured by the server device as described above, and although not shown in the figure, the basics of a normal information processing device Needless to say, it has a configuration (that is, an input device such as a CPU, a RAM, a ROM, a keyboard and a mouse, a communication device that communicates with the outside, a storage device that stores information, and an output device such as a display and a printer). .

  FIG. 2 shows a functional configuration of the communication system 10. As shown in FIG. 2, the communication system 10 includes a plurality of mobile stations 100 located in sectors controlled by a plurality of BTSs (base stations) 200, an RNC 300 that controls the BTS 200, an exchange 400, and a communication traffic control device. 600 and a subscriber profile information storage unit 700. The communication traffic control device 600 corresponds to the mobile demography unit 503 and the visualization solution unit 504 shown in FIG. Regarding the functions corresponding to the social sensor unit 501 and the petamining unit 502 in FIG. 1, these notations are omitted in FIG.

  The RNC 300 includes a positioning unit 301 and an RNC communication control unit 302 described later. The exchange 400 includes an exchange communication control unit 401, a conversion unit 402, and a storage unit 403.

  The communication traffic control device 600 includes a positioning information acquisition unit 601, a dynamic information extraction unit 602, a control unit 603, and an attribute information holding unit 604, which will be described later.

  First, the RNC 300 will be described. When the RNC communication control unit 302 (to be described later) establishes a communication connection with the mobile device 100 via the BTS 200, the positioning unit 301 determines whether the mobile device 100 is present based on the delay value generated in the process using the RRC connection request signal. This is a part for measuring the position (coordinates) in the sector in one BTS 200 that is in the range. The RNC 300 can measure the position in the sector by performing so-called PRACH PD positioning calculation. Here, the sector indicates one area when the communication area in the BTS 200 is equally divided into a plurality. Note that the center coordinates of the sector where the mobile device 100 is located may be measured as the coordinates where the mobile device 100 is located without performing the PRACH PD positioning according to the communication environment. Further, the location information of the mobile device 100 is not limited to being specified by the RNC 300. For example, when the mobile device 100 has a function capable of acquiring location information such as a GPS function, the location information acquired by the GPS function or the like. The information can also be directly transmitted to the communication traffic control device 600 by the position information communication unit for the GPS function or the like provided in the mobile device 100.

  FIG. 3 is a diagram showing the relationship between the BTS 200 and sectors. The BTS 200 is located at the center of a region indicated by a circle, and a sector that is equally divided into a plurality of portions around the center is a sector. For example, in FIG. 3, the communication area of the BTS 200 is composed of a maximum of six sectors, and the RNC 300 can grasp via the BTS 200 which of the sectors the mobile device 100 is located. In the present embodiment, it is possible to calculate the GAI (Geographical Area ID) of which position in the sector the mobile device 100 is located on the basis of the signal delay obtained when processing the RRC connection request. it can. A sector identifier is assigned to each sector, and the position of the mobile device 100 can be specified based on the sector identifier and the position in the sector. When PRACH PD positioning is not performed according to the environment, the measured center coordinates of the sector where the mobile device 100 is located may be calculated as GAI.

  The RNC communication control unit 302 is a part that performs communication connection with the mobile device 100 via the BTS 200. For example, the RNC communication control unit 302 performs communication connection processing based on transmission processing from the mobile device 100 and communication connection processing based on a location registration request. . In the present embodiment, the RNC communication control unit 302 can further add the location information of the mobile device 100 to the Initial UE Message used for the communication connection process and transmit it to the exchange 400. The Initial UE Message includes instruction information indicating a call origination or location registration request, an ID such as a temporary ID that uniquely identifies the mobile device 100, and location information. The temporary ID is ID information issued by the exchange 400 when the mobile device 100 is connected to the network.

  Next, the exchange 400 will be described. The exchange communication control unit 401 is a part that receives an Initial UE Message transmitted from the RNC 300 and performs a communication connection process using the Initial UE Message.

  The conversion unit 402 is a part that converts an ID such as a temporary ID included in the Initial UE Message received by the exchange communication control unit 401 into a telephone number. In the conversion process, the conversion unit 402 extracts a telephone number associated with an ID such as a temporary ID from the subscriber profile information storage unit 700 that stores subscriber profile information, and converts the extracted telephone number into the extracted telephone number. . The subscriber profile information storage unit 700 is provided in, for example, an HLR (Home Location Register), and here manages and stores an ID such as a temporary ID and a telephone number in association with each other.

  The storage unit 403 is a part that stores the telephone number converted by the conversion unit 402, the location information of the mobile device 100 included in the Initial UE Message, and the time when the location information was measured in association with each other. The location information stored in the storage unit 403 is collected in accordance with a communication process performed by the exchange communication control unit 401 in response to a predetermined timing described later or a request from the management center 500.

  The exchange communication control unit 401 stores a telephone number (identification information as an identifier that allows the mobile device 100 to be uniquely identified), position information, and time as the time when the position information is measured. Information is transmitted to the communication traffic control device 600.

  Next, the communication traffic control device 600 will be described. The positioning information acquisition unit 601 includes the positioning information transmitted by the exchange 400, here, as an example, the identification information of the mobile device 100 (for example, the telephone number of the mobile device 100) and the mobile device 100 obtained by the positioning by the RNC 300. This is a part for acquiring positioning information including position information and positioning time information indicating a positioning time by the RNC 300.

  The dynamic information extraction unit 602 extracts the dynamic information of the mobile device user based on the positioning information acquired by the positioning information acquisition unit 601. In the first embodiment, the movement information extraction unit 602 extracts population distribution information as movement information of mobile device users. The dynamic information extraction unit 602 according to the first embodiment includes a position calculation unit 602A, an association unit 602B, an attribute determination unit 602C, an acquisition opportunity determination unit 602D, and a totaling unit 602E, which will be described later.

  The position calculation unit 602A receives a telephone number, position information, and time information from the positioning information acquisition unit 601, and receives position information (hereinafter referred to as “calculated position information”) indicating the position where the mobile device 100 exists at a desired time. This is the part to calculate.

  Here, with reference to FIGS. 4 to 7 and FIG. 9, a method in which the position calculation unit 602A calculates the calculated position information will be described.

  FIG. 4 shows an example of information used by the position calculation unit 602A. As shown in this figure, the information used by the position calculation unit 602A is information in which time information, position information, and a position information acquisition opportunity are associated with a user ID (hereinafter, this information is referred to as “user ID”). -PRACH PD GAI correspondence information ").

  For “user ID”, the position calculation unit 602A associates the user ID with the telephone number input from the positioning information acquisition unit 601 by referring to a holding unit (not shown) in which the user ID is stored in association with the telephone number. Obtained user ID.

  “Time information” is information related to the time at which the positioning unit 301 measures the position information. “Position information” is information related to the position of the mobile device 100 measured by performing so-called PRACH PD positioning calculation by the above-described method, or information related to the center coordinates of the sector where the mobile device 100 is located. The position information may be expressed by longitude and latitude. Alternatively, a reference point may be set and displayed at a relative position from the reference point.

  The “location information acquisition opportunity” is information related to the type of opportunity when the location information of the mobile device 100 is measured. When the position of the mobile device 100 is measured, (1) when a predetermined timing of a predetermined cycle (for example, about one hour cycle) has arrived, (2) at the time of outgoing / incoming calls, and (3) moved beyond the location registration area At least one of them is preferable. However, the trigger for positioning is not limited to these, and a desired trigger can be set.

  Now, suppose that we want to find the population distribution at 11:00. In this case, the position calculation unit 602A selects, from the information shown in FIG. 4, information whose “time information” is immediately before 11:00 (that is, the time before 11:00 and closest to 11:00) for each user ID. . An example of information to be selected is shown in FIG. For example, in the case of the mobile device 100 owned by a user whose user ID is “123”, positioning is performed at 10:30 and 11:30. In this case, information measured at 10:30, which is immediately before a desired time (11:00 in this example), is selected. The position calculation unit 602A selects the information measured immediately before a desired time in the same manner for the other users.

  The position calculation unit 602A can calculate, as calculated position information, information selected immediately before a desired time (11 o'clock) selected by the above method.

  Returning to FIG. 2, the associating unit 602B converts the expression format of the calculated position information calculated by the position calculating unit 602A into an expression format that is expressed in association with a desired area unit having a certain range of spread. It is. The desired area unit may be a mesh. Or it is good also considering administrative divisions, such as a municipality, as an area unit. Alternatively, a Poronoi diagram schematically shown in FIG. 6 may be used.

  In FIG. 6, the position indicated by the hollow circle represents the central longitude / latitude of the sector. As shown in this figure, a Polonoi diagram is a diagram divided by a bisector with sector center longitude / latitude of adjacent sectors. Further, if there is sector-to-sector power map (service area diagram), if there is sector-position correspondence information, it may be used.

  FIG. 7 is a diagram for describing a method in which the association unit 602B converts the expression format of the calculated position information into an expression format that is expressed in association with a desired area unit having a certain range of spread. . Here, a square grid is used as an example of a desired area unit. In FIG. 7, an area unit identifier that makes each grid uniquely identifiable is entered in parentheses at the upper left of each grid. If the position of the mobile device 100 is calculated as one specific point (indicated in this specification as (X1, Y1), etc.), one corresponding area unit is specified. In this example, for example, the calculated position information of the user whose user ID is “123” is expressed as (X1, Y1), and the corresponding area unit is expressed as the area unit identifier (3). .

  Next, another method in which the position calculation unit 602A calculates the calculated position information will be described with reference to FIG. 4 and FIGS.

  In the above method, in the case of a user whose user ID is “234”, the calculated position information is based on information measured at 10:30 (that is, information measured immediately before 11:00, which is a desired time). It is calculated to be (X7, Y7).

  In another method, since the user whose user ID is “234” is measured at 10:30 and then at 11:30, the positioning is performed immediately before and after the desired time. The position at 11 o'clock is calculated.

  In this case, it is assumed that the vehicle travels straight at the same speed between the time immediately before and after 11 o'clock, which is the desired time, and the time information and position information immediately before and immediately after are prorated to exist at the desired time. The wax position is calculated as calculated position information.

  For example, in the case of a user whose user ID is “234”, if the calculated position information at a desired time (11:00) is (X9, Y9), the position calculation unit 602A displays “X9 = (X7 + X8) / 2”, The calculated position information is calculated by the equation “Y9 = (Y7 + Y8) / 2”.

  When this is converted into an expression format that the association unit 602B expresses in association with the area unit, the result is as shown in FIG. The relationship between the position information at 11:30 (X8, Y8), the position information at 10:30 (X7, Y7), and the calculated position information (X9, Y9) calculated by the position calculation unit 602A is as follows: As shown in FIG. 8, the positions are aligned on a straight line and the corresponding time information and position information are apportioned (in this example, (X9, Y9) is intermediate between (X7, Y7) and (X8, Y8)). It becomes.

  In this case, the associating unit 602B uses the area unit identifier (4) (only the position information measured immediately before is used as the position at 11 o'clock as the desired time for the user whose user ID is “234”. In this case, it is determined that the area unit identifier is (1) (see FIGS. 5 and 7).

  As described above, it is possible to calculate accurate calculated position information that is more realistic by the method.

  Next, still another method for calculating the calculated position information by the position calculating unit 602A will be described. In the other method, information measured immediately before and immediately after a desired time is used. However, in another method, a plurality of pieces of information measured immediately before are used.

  A user having a user ID “789” will be described as an example with reference to FIG. For the user whose user ID is “789”, positioning is performed at 9 o'clock (X4, Y4) and 10:00 (X5, Y5). From the position information measured twice, calculated position information at a desired time (11 o'clock) is calculated on the assumption that the vehicle travels straight at the same speed thereafter.

  For a user whose user ID is “789”, if the calculated position information at a desired time (11:00) is (X10, Y10), the position calculation unit 602A displays “X10 = (X5−X4) + X5”, “ The calculated position information is calculated by the following equation: Y10 = (Y5−Y4) + Y5 ”.

  When this is converted into an expression format that the association unit 602B expresses in association with the area unit, it is as shown in FIG. As shown in FIG. 9, the measurement position at 9 o'clock (X4, Y4) and the measurement position at 10 o'clock (X5, Y5) of the user whose user ID is “789” are the positions shown in FIG. If there is (X10, Y10) calculated by the position calculation unit 602A by the above method, a straight line drawn from (X4, Y4) to (X5, Y5) as shown in FIG. Y4) to the position extended by the distance between (X5, Y5).

  In this case, the associating unit 602B uses the area unit identifier (3) (only the position information measured immediately before is used as the position at 11 o'clock as the desired time for the user with the user ID “789”. In this case, it is determined that the area unit identifier is (2) (see FIGS. 5 and 7).

  As described above, this method makes it possible to calculate accurate calculated position information that is more realistic.

  The method by which the position calculation unit 602A calculates the calculated position information is not limited to the above example. In addition, for example, the behavior of the previous day in the same time zone may be considered. Further, in the above method, the calculation is performed by proportional distribution assuming that the vehicle moves linearly at the same speed, but a route such as a road may be considered.

  Returning to FIG. 2, the attribute information holding unit 604 is a part that holds the attribute information of the user of the mobile device 100 in association with the user ID. FIG. 10 shows an example of attribute information held by the attribute information holding unit 604. As shown in FIG. 10, the attribute information may include, for example, sex, age, and address.

  The attribute determination unit 602C determines whether or not to use to output population distribution information (which is obtained by integrating the calculated position information), which will be described later, based on the attribute information held by the attribute information holding unit 604. It is a part to do.

  Specifically, the attribute determining unit 602C determines whether or not a desired attribute satisfies a certain requirement by referring to attribute information held by the attribute information holding unit 604. If it is determined that certain requirements are satisfied, the attribute determination unit 602C determines that the corresponding calculated position information is used to output population distribution information described later. If it is determined that certain requirements are not satisfied, the attribute determination unit 602C determines that the corresponding calculated position information is not used to output population distribution information described later.

  FIG. 11 shows an example in which calculated position information in which the desired attribute “sex” is “male” in the attribute information of FIG. 10 (that is, satisfies certain requirements related to attributes) is used. Desired attributes and certain requirements can be set freely.

  For example, the attribute may be “age”, and the certain requirement may be “10 years old or older and less than 30 years old”. Alternatively, for example, the attribute may be “address” and the certain requirement may be “Chiyoda-ku”.

  The acquisition opportunity determination unit 602D is a part that determines whether or not the position information should be used for outputting population distribution information described later based on the position information acquisition opportunity.

  Specifically, the acquisition opportunity determination unit 602D refers to the position information acquisition opportunity shown in FIG. 4 and determines whether or not it is a desired opportunity. If it is determined that it is a desired opportunity, the acquisition opportunity determination unit 602D determines that the corresponding calculated position information is used to output population distribution information described later. If it is determined that it is not a desired opportunity, the acquisition opportunity determination unit 602D determines that the corresponding calculated position information is not used to output population distribution information described later.

  The desired opportunity can be set freely. When a plurality of desired triggers are set and one of those triggers is met, the acquisition trigger determination unit 602D determines that the corresponding calculated position information is used to output population distribution information described later. May be.

  When the communication traffic control device 600 includes the acquisition opportunity determination unit 602D, it is possible to obtain population distribution information according to the location information acquisition opportunity. For example, if it is known that there is a distribution bias in the location information whose location information acquisition trigger is crossing the area, only the trigger other than the trigger across the area is set as the desired trigger. It is possible to exclude position information that is known to exist.

  The aggregation unit 602E integrates the calculated position information that is determined to be used for outputting the population distribution information by the attribute determination unit 602C and that is determined to be used to output the population distribution information by the acquisition opportunity determination unit 602D. In this part, the population distribution information is calculated, and the calculated population distribution information is output to the control unit 603.

  Specifically, the calculation unit 602E is determined to be used for outputting the population distribution information by the attribute determination unit 602C and is determined to be used for outputting the population distribution information by the acquisition opportunity determination unit 602D. Population distribution information for each area unit is calculated by counting (integrating) the number of pieces of position information for each area unit associated by the association unit 602B. The “population distribution information” here is “population distribution information related to mobile device users”.

  In the present embodiment, the calculation unit 602E is determined to be used for outputting the population distribution information by the attribute determination unit 602C, and is calculated to output the population distribution information by the acquisition opportunity determination unit 602D. But is not limited to that. For example, the determination by the attribute determination unit 602C may be omitted. Further, the determination by the acquisition opportunity determination unit 602D may be omitted. Furthermore, the determination by both the attribute determination unit 602C and the acquisition opportunity determination unit 602D may be omitted.

  In this embodiment, the attribute determination unit 602C and the acquisition opportunity determination unit 602D make the above determination after the calculated position information is calculated by the position calculation unit 602A, but the order may be reversed.

  The control unit 603 is a part that performs communication traffic control based on the population distribution information output from the totaling unit 602E. As for the communication traffic control process, for example, communication traffic restriction control for preventing a congestion state and degenerate operation control for minimizing power consumption will be described later with reference to FIGS.

[Flow of processing executed in the communication system]
Next, processing of the communication system 10 configured as described above will be described with reference to FIG.

  When a transmission request or a location registration request is output from the mobile device 100, the RNC 300 performs positioning of the mobile device 100 in accordance with the request (step S101). That is, when the RRC connection request is received by the RNC 300 (RNC communication control unit 302), the RNC communication control unit 302 transmits an RRC connection setup to the mobile device 100 in response to the request. Then, an RRC connection setup completion signal is received by the RNC communication control unit 302 from the mobile device 100 (step S101). Based on the delay value of the signal obtained here, approximate position information in the sector of the mobile device 100 is calculated by the positioning unit 301, and position positioning is performed (step S102: positioning step).

  In the RNC 300, the RNC communication control unit 302 extracts the location information of the mobile device 100 and its temporary ID (step S103). The extracted position information and temporary ID are added to the Initial UE Message by the RNC communication control unit 302 and transmitted to the exchange 400 (step S104: transmission step).

  In the exchange 400, the exchange communication control unit 401 receives the Initial UE Message, and the temporary ID included in the Initial UE Message is converted into the telephone number of the mobile device 100 by the conversion unit 402 (step S105). . Then, the converted telephone number, the time information as the time when positioning is performed, and the position information are stored in association with each other as positioning information in the storage unit 403 (step S106).

  The positioning information (telephone number, time information, and location information) stored in the storage unit 403 is periodically transmitted to the communication traffic control device 600, or communication traffic control is performed in response to a request from the communication traffic control device 600. It is transmitted toward the device 600 (step S107), and is acquired by the positioning information acquisition unit 601 of the communication traffic control device 600 (step S107A).

  Specifically, the positioning information acquisition unit 601 moves (1) when a predetermined timing of a predetermined period (for example, about one hour period) arrives, (2) at the time of outgoing / incoming calls, and (3) moving beyond the location registration area. The time information and the position information are acquired with at least one of them as a trigger.

  Based on the user ID-PRACH PD GAI correspondence information, the position calculation unit 602A of the dynamic information extraction unit 602 obtains calculated position information that is information about the position where the mobile device 100 would exist at a desired time for each user. Calculate (step S108: position calculation step).

  The associating unit 602B converts the expression format of the calculated position information calculated in step S108 into an expression format that is expressed in association with area units having a certain range of spread (step S109).

  The attribute determination unit 602C determines whether or not the calculated position information should be used for outputting the population distribution information based on the attribute information, and selects only the calculated position information determined to be used (step S110).

  The acquisition opportunity determination unit 602D determines whether or not the calculated position information should be used to output the population distribution information based on the position information acquisition opportunity, and selects only the calculated position information determined to be used (step) S111).

  The totaling unit 602E extracts the population distribution information by totaling (integrating) the calculated position information (step S112), and outputs the population distribution information to the control unit 603. In the present embodiment, the totaling unit 602E provides general population distribution information that is not classified by attribute, and population by predetermined attribute (for example, by age group (10's, 20's, 30's ...)). Distribution information is extracted and output to the control unit 603.

  And the control part 603 performs the following communication traffic control based on the population distribution information output from the total part 602E, for example (step S113). Communication traffic control here includes (1) access restriction control based on general population distribution information that is not classified by attributes, and (2) degeneration based on general population distribution information that is not classified by attributes. There are a total of four cases: driving control, (3) access restriction control based on population distribution information for each predetermined attribute, and (4) degenerate operation control based on population distribution information for each predetermined attribute. For (1) and (3), access restriction control in “base station units” is exemplified below, but access restriction control may be performed in “switch units”. For (2) and (4), degenerate operation control in “base station units” is exemplified below, but degenerate operation control may be performed in “exchange units”. In addition, “degenerate operation” here refers to, for example, operating by reducing the amount of resources of the entire network to the required amount using virtualization technology, and temporarily stopping unnecessary radio channels among the radio channels. It shows that the operation of the neighboring base stations is stopped by expanding the area by increasing the output of some base stations. However, it is not limited to these.

  First, (1) an example of access restriction control based on general population distribution information that is not classified by attribute will be described with reference to FIG. As illustrated in FIG. 13, the control unit 603 refers to general population distribution information that is not classified by attribute among the population distribution information output from the totaling unit 602E (step S201), and It is determined whether the population is greater than or equal to the first threshold value X (step S202). Here, if the population of the target area is less than the first threshold value X, it is expected that the amount of communication traffic in the target area is unlikely to increase to a level that requires communication traffic control. The process is terminated without performing it.

  On the other hand, if the population of the target area is greater than or equal to the first threshold X, the second threshold Y greater than the first threshold X is used to determine whether the population of the target area is greater than or equal to the second threshold Y. Judgment is made (step S203). Here, if the population of the target area is greater than or equal to the second threshold Y, it is expected that the amount of communication traffic in the target area is likely to increase considerably, so access control control with a high level of control (yy% access) (Regulation) is performed (step S204). On the other hand, if the population of the target area is less than the second threshold Y (that is, greater than or equal to the first threshold X and less than the second threshold Y), the amount of communication traffic in the target area increases to some extent, and some access restriction control is performed. Therefore, access restriction control with a low restriction level (xx% access restriction lower than yy%) is performed (step S205).

  As described above, access restriction control based on general population distribution information is performed. The process of FIG. 13 is repeated every predetermined unit time. Further, the process of FIG. 13 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, (2) an example of degenerate operation control based on general population distribution information that is not classified by attribute will be described with reference to FIG. As shown in FIG. 14, the control unit 603 refers to general population distribution information that is not classified by attribute among the population distribution information output from the totaling unit 602E (step S201), and It is determined whether the population is greater than or equal to the first threshold value X (step S202). Here, if the population of the target area is less than the first threshold value X, the process is terminated without performing the degenerate operation control.

  On the other hand, if the population of the target area is greater than or equal to the first threshold X, the second threshold Y greater than the first threshold X is used to determine whether the population of the target area is greater than or equal to the second threshold Y. Judgment is made (step S203). Here, if the population of the target area is greater than or equal to the second threshold Y, it is expected that the amount of communication traffic in the target area may increase unexpectedly. Control (degeneration operation control with a degeneration rate of bb%) is performed (step S206). On the other hand, if the population of the target area is less than the second threshold Y (that is, greater than or equal to the first threshold X and less than the second threshold Y), the amount of communication traffic in the target area increases to some extent, but increases suddenly. Since it is predicted that there is a low possibility that the degeneration is performed, the degeneration operation control (degeneration operation control in which the degeneration rate is aa% (a rate higher than bb%)) is performed by maximizing the degeneration rate (step S207).

  Degenerate operation control based on general population distribution information is performed as described above. The process of FIG. 14 is repeated every predetermined unit time. Further, the process of FIG. 14 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, an example of (3) access restriction control based on population distribution information for each predetermined attribute will be described with reference to FIG. As shown in FIG. 15, the control unit 603 includes a predetermined attribute (in this case, by age group (10's, 20's, 30's, etc.)) among the population distribution information output from the totaling unit 602E. The population A under 40 years old in a certain target area and the population B over 40 years old in the target area are obtained (step S211). And the control part 603 judges whether the population A under 40 years old is more than the predetermined threshold X (step S212), and whether the population B over 40 years old is more than the predetermined threshold X is determined. Judgment is made (steps S213 and S214).

  Generally, a person under 40 years old often uses e-mail or the like on a mobile device as compared with a person over 40 years old. Therefore, the amount of communication traffic per person under 40 years old is 1 for those over 40 years old. More than the amount of communication traffic per person. Therefore, of the population A under 40 and the population B over 40, only the population B over 40 is over the threshold value X. Since the population A under 40 is below the threshold X, the amount of communication traffic is somewhat Although it increases, it is predicted that there will be no significant increase, so access restriction control (xx% access restriction) with the lowest restriction level is performed (step S217). On the other hand, when only the population A under 40 years old is greater than or equal to the threshold value X, the traffic volume is predicted to be larger than when only the population B over 40 years old is greater than or equal to the threshold value X. Access restriction control higher than the restriction (yy% access restriction) is performed (step S216).

  In addition, when both the population A under 40 and the population B over 40 are more than the threshold value X, it is predicted that the amount of communication traffic will increase considerably. Therefore, the access regulation control with the highest regulation level (zz% access) (Regulation) is performed (step S215). On the other hand, when both the population A under 40 years old and the population B over 40 years old are less than the threshold X (in the case of negative determination in step S212 and negative determination in step S214), the communication traffic amount in the target area is the communication traffic. Since the possibility of increasing to a level that requires control is expected to be low, the process is terminated without performing access restriction control.

  As described above, access restriction control based on population distribution information for each attribute is performed. The process of FIG. 15 is repeated every predetermined unit time. Further, the process of FIG. 15 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, (4) an example of degenerate operation control based on predetermined attribute-specific population distribution information will be described with reference to FIG. As shown in FIG. 16, the control unit 603 includes a predetermined attribute among the population distribution information output from the totaling unit 602E (here, as an example, by age group (10's, 20's, 30's ...)). The population A under 40 years old in a certain target area and the population B over 40 years old in the target area are obtained (step S211). And the control part 603 judges whether the population A under 40 years old is more than the predetermined threshold X (step S212), and whether the population B over 40 years old is more than the predetermined threshold X is determined. Judgment is made (steps S213 and S214).

  Generally, a person under 40 years old often uses e-mail or the like on a mobile device as compared with a person over 40 years old. Therefore, the amount of communication traffic per person under 40 years old is 1 for those over 40 years old. More than the amount of communication traffic per person. Therefore, of the population A under 40 years old and the population B over 40 years old, when only the population B over 40 years old is the threshold value X or more, the population A under 40 years old is less than the threshold value X. Is expected to increase to some extent, but is unlikely to increase suddenly. For this reason, the degeneration operation control (degeneration operation control in which the degeneration rate is higher than cc% and bb% described later and aa% is performed) is performed by maximizing the degeneration rate (step S220). On the other hand, when only the population A under 40 years old is greater than or equal to the threshold value X, it is predicted that the possibility of sudden increase in the amount of communication traffic is higher than when only the population B over 40 years old is greater than or equal to the threshold value X. Therefore, the degeneration operation control is performed such that the rate of degeneration is higher than cc%, which will be described later, and is lower than the above aa% (step S219).

  In addition, when both the population A under 40 and the population B over 40 are both equal to or greater than the threshold value X, it is predicted that there is the highest possibility of sudden increase in the amount of communication traffic. The degeneration operation control (degeneration operation control in which the degeneration rate is cc% lower than the above aa% and bb%) is performed (step S218). On the other hand, when both the population A under 40 and the population B over 40 are less than the threshold value X (in the case of negative determination in step S212 and negative determination in step S214), the process is terminated without performing the degenerate operation control. To do.

  As described above, the degenerate operation control based on the attribute-specific population distribution information is performed. The process of FIG. 16 is repeated every predetermined unit time. Further, the process of FIG. 16 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  According to the first embodiment described above, communication traffic control is not performed based on the communication traffic volume as in the prior art, but based on the mobile user's dynamic information (here, population distribution information) that causes the generation of the communication traffic volume. Therefore, more rapid and accurate communication traffic control can be executed. Therefore, for example, a congestion state can be prevented beforehand by communication traffic restriction control, and power consumption can be minimized by degenerate operation control. Further, communication traffic control can be performed based on attribute-specific dynamic information (here, attribute-specific population distribution information), and finer communication traffic control according to the attributes of each mobile device user can be performed.

[Second Embodiment]
Hereinafter, a description will be given of a second embodiment in which population flow rate information is extracted as mobile device user dynamic information and communication traffic control is performed based on the extracted population flow rate information.

  The system configuration of the communication system according to the second embodiment is the same as that shown in FIG. On the other hand, the functional configuration of the communication system of the second embodiment is shown in FIG. In the second embodiment, since only the functional configuration of the communication traffic control device 600 is different from the configuration of the first embodiment (FIG. 2), the functional configuration of the communication traffic control device 600 of the second embodiment will be described with reference to FIG. explain.

  The communication traffic control device 600 includes a positioning information acquisition unit 601, a dynamic information extraction unit 602, a control unit 603, and an attribute information holding unit 604. Among them, the positioning information acquisition unit 601 includes positioning information transmitted by the exchange 400, here, as an example, identification information of the mobile device 100 (for example, a telephone number of the mobile device 100), and a mobile device obtained by positioning by the RNC 300. This is a part for acquiring positioning information including 100 position information and positioning time information indicating a positioning time by the RNC 300.

  The dynamic information extraction unit 602 extracts the dynamic information of the mobile device user based on the positioning information acquired by the positioning information acquisition unit 601. In 2nd Embodiment, the dynamic information extraction part 602 extracts population flow information as dynamic information of a mobile device user. The dynamic information extraction unit 602 according to the second embodiment includes a position extraction unit 602F, an association unit 602G, an attribute determination unit 602H, and a totaling unit 602I which will be described later.

  The position extraction unit 602F is a part that inputs a telephone number, position information, and time information from the positioning information acquisition unit 601 and outputs movement information that is information indicating the movement status of the mobile device 100 at a desired time.

  Here, the movement status of the mobile device 100 at a desired time indicates, for example, movement from a position measured immediately before at a set time to a position determined immediately after. In the example for explanation below, the movement status of the mobile device 100 at a desired time is described using movement from a position measured immediately before at a set time to a position measured immediately after. It is not intended to be limited to this. For example, the movement status (current movement model) at a desired time may be estimated using a plurality of pieces of position information (movement model) measured immediately before the desired time. For example, in this case, the straight line connecting the two previous measurement positions may be extended as it is, and the movement state at a desired time may be estimated by time distribution. Of course, two or more measurement positions may be used.

  Here, with reference to FIG. 18 to FIG. 21, a method of extracting the position of the mobile device 100 in the immediate vicinity of a desired time will be described.

  FIG. 18 shows an example of information used by the position extraction unit 602F. As shown in this figure, the information used by the position extraction unit 602F is information in which time information, position information, and a position information acquisition opportunity are associated with a user ID (hereinafter, this information is referred to as “user ID”). -PRACH PD GAI correspondence information ").

  With respect to “user ID”, the communication traffic control device 600 refers to a telephone number input from the positioning information acquisition unit 601 by referring to a holding unit (not shown) in which the user ID is stored in association with the telephone number. Get the associated user ID.

  The “time information” holds the time when the position information is measured. Further, the “location information” holds the location information of the mobile device 100 measured by performing the so-called PRACH PD positioning calculation by the method described above, or information on the center coordinates of the sector where the mobile device 100 is located. ing. The position information may be expressed by longitude and latitude. Alternatively, a reference point may be set and displayed at a relative position from the reference point.

  The “position information acquisition opportunity” holds the type of opportunity when the position information of the mobile device 100 is measured. The position at which the position of the mobile device 100 is measured is at least one of (1) periodic (for example, about one hour cycle), (2) at the time of outgoing / incoming calls, and (3) when moving beyond the location registration area. Is preferred. However, the trigger for positioning is not limited to these, and a desired trigger can be set.

  Now, suppose that we want to find the flow rate of the population at 11:00. In this case, the position extraction unit 602F sorts the information immediately before and immediately after “11:00” for each user ID from the information shown in FIG. Examples of information to be selected are shown in FIGS. FIG. 19 shows information immediately before the desired time, and FIG. 20 shows information immediately after the desired time. For example, in the case of the mobile device 100 owned by a user whose user ID is “123”, positioning is performed at 10:30, 11:30, and 11:45. In this case, the information measured at 10:30 before and after the desired time (11:00 in this example) and the information measured at 11:30 are selected.

  FIG. 21 shows an example of movement information output by the position extraction unit 602F. As illustrated in FIG. 21, for example, for the user whose user ID is “123”, the position extraction unit 602F uses the position (X1, Y1) (that is, the position measured immediately before), the position (X2, Y2) (that is, the position measured immediately after) and the user ID are output.

  Returning to FIG. 17, the associating unit 602G associates the movement information extracted by the position extracting unit 602F with a desired area unit having a certain range of spread from one area unit to another area unit. This is the part that converts to the expression format to express as movement. The desired area unit may be a mesh. Or it is good also considering administrative divisions, such as a municipality, as an area unit. Alternatively, a Poronoi diagram schematically shown in FIG. 6 may be used. In FIG. 6, the position indicated by the hollow circle represents the central longitude / latitude of the sector. As shown in this figure, a Polonoi diagram is a diagram divided by a bisector with sector center longitude / latitude of adjacent sectors. Further, if there is sector-to-sector power map (service area diagram), if there is sector-position correspondence information, it may be used.

  FIG. 22 is a diagram for explaining a method for converting movement information into an expression format that is associated with a desired area unit and expressed as movement from one area unit to another area unit. Here, a desired area unit is a square grid. In FIG. 22, an area unit identifier that allows each grid to be uniquely identified is entered in parentheses at the upper left of each grid. If the position of the mobile device 100 is specified (in this specification, expressed as (X1, Y1) or the like), one corresponding area unit is specified. In this example, in the example of the user whose user ID is “123” (movement information is (X1, Y1) → (X2, Y2)), the area unit is changed from the area unit whose area unit identifier is (3) to the area unit. It moves to the area unit whose identifier is (5).

  By this method, the associating unit 602G associates the movement information extracted by the position extracting unit 602F with an area unit having a certain range of spread from one area unit (area unit identifier (3)) to another. It can be converted into an expression format expressed as movement to an area unit (area unit identifier is (5)).

  The attribute information holding unit 604 is a part that holds the attribute information of the user of the mobile device 100 in association with the user ID. FIG. 23 shows an example of attribute information held by the attribute information holding unit 604. As shown in FIG. 23, the attribute information may include, for example, sex, age, and address.

  Should the attribute determination unit 602H use the movement information based on the attribute information held by the attribute information holding unit 604 in order to output population flow information (that is, information obtained by counting movement information) to be described later? This is the part that determines whether or not.

  Specifically, the attribute determination unit 602H refers to attribute information held by the attribute information holding unit 604 to determine whether a desired attribute satisfies a certain requirement. If it is determined that a certain requirement is satisfied, the attribute determination unit 602H determines that the corresponding movement information is used to output population flow information described later. If it is determined that certain requirements are not satisfied, the attribute determination unit 602H determines that the corresponding movement information is not used to output population flow information described later.

  FIG. 24 shows an example of using movement information in which the desired attribute “gender” is “male” in the attribute information of FIG. 23 (that is, satisfying certain requirements related to attributes). Desired attributes and certain requirements can be set freely.

  In addition, for example, the attribute may be “age” and the certain requirement may be “10 years old or older and less than 30 years old”. Alternatively, for example, the attribute may be “address” and the certain requirement may be “Chuo-ku”.

  The totaling unit 602I calculates population flow information by totaling (integrating) movement information determined to be used for output by the attribute determination unit 602H, and outputs the calculated population flow information to the control unit 603. is there.

  FIG. 25 is a diagram for explaining a method of calculating population flow information by totaling (integrating) movement information. However, in FIG. 25, numerals that should be entered in the table are omitted. In the leftmost column in FIG. 25, identifiers in area units corresponding to position information measured immediately before a desired time are entered. In the uppermost line in FIG. 25, an area unit identifier corresponding to position information measured immediately after a desired time is entered.

  This will be described with reference to the examples shown in FIGS. Since the user whose user ID is “123” has moved from the area unit identifier (3) to (5), 1 is added to the number in the column indicated by A in FIG. Similarly, since the user whose user ID is “456” has moved from the area unit identifier (7) to (8), 1 is added to the number in the column indicated by B in FIG. Since the user whose user ID is “789” has moved from the area unit identifier (8) to (2), 1 is added to the number in the column indicated by C in FIG.

  The totaling unit 602I can integrate the movement information and calculate population flow information (that is, information obtained by totaling the movement information about the plurality of mobile devices 100 for each area unit) by the above method. For example, FIG. 26 shows a display example of the population flow rate information calculated by the above method. In this figure, a region surrounded by a hexagon represents one area unit. This display example indicates that a person has moved from the area unit located at the start point of the arrow to the area unit located at the tip of the arrow at the rate of the numbers written near the arrow. The “population flow rate information” here is “population flow rate information related to mobile device users”.

  The totaling unit 602I refers to the “location information acquisition opportunity” described in FIG. 19 and FIG. 20, and totals only information for which position information has been acquired by a specific signal type (specific signal type). May be. In that case, for example, only information whose “position information acquisition opportunity” is “periodic position registration” may be totaled. For example, when it is known that there is a bias in the information whose “location information acquisition opportunity” is “transmission”, it is possible to eliminate the bias caused by such a specific signal type.

  The control unit 603 is a part that performs communication traffic control based on the population flow rate information output from the totaling unit 602I. As for the communication traffic control process, for example, communication traffic restriction control for preventing a congestion state and degenerate operation control for minimizing power consumption will be described later with reference to FIGS.

[Flow of processing executed in the communication system]
Next, processing of the communication system 10 configured as described above will be described with reference to FIG.

  When a transmission request or a location registration request is output from the mobile device 100, the RNC 300 performs positioning of the mobile device 100 in accordance with the request (step S101). That is, when the RRC connection request is received by the RNC 300 (RNC communication control unit 302), the RNC communication control unit 302 transmits an RRC connection setup to the mobile device 100 in response to the request. Then, an RRC connection setup completion signal is received by the RNC communication control unit 302 from the mobile device 100 (step S101). Based on the delay value of the signal obtained here, approximate position information in the sector of the mobile device 100 is calculated by the positioning unit 301, and position positioning is performed (step S102: positioning step).

  In the RNC 300, the RNC communication control unit 302 extracts the location information of the mobile device 100 and its temporary ID (step S103). The extracted position information and temporary ID are added to the Initial UE Message by the RNC communication control unit 302 and transmitted to the exchange 400 (step S104: transmission step).

  In the exchange 400, the exchange communication control unit 401 receives the Initial UE Message, and the temporary ID included in the Initial UE Message is converted into the telephone number of the mobile device 100 by the conversion unit 402 (step S105). . Then, the converted telephone number, the time information as the time when positioning is performed, and the position information are stored in association with each other as positioning information in the storage unit 403 (step S106).

  The positioning information (telephone number, time information, and location information) stored in the storage unit 403 is periodically transmitted to the communication traffic control device 600, or communication traffic control is performed in response to a request from the communication traffic control device 600. It is transmitted toward the device 600 (step S107), and is acquired by the positioning information acquisition unit 601 of the communication traffic control device 600 (step S107A).

  Specifically, the positioning information acquisition unit 601 performs at least one of (1) a fixed period (for example, about one hour period), (2) at the time of outgoing / incoming calls, and (3) when moved beyond the location registration area. Acquire location information as an opportunity.

  Based on the user ID-PRACH PD GAI correspondence information, the position extraction unit 602F of the dynamic information extraction unit 602 provides, for each user, movement information that is information indicating the movement status of the mobile device 100 immediately before and after a desired time. Extraction (step S121: position extraction step).

  The associating unit 602G converts the movement information extracted in step S121 into an expression format that is associated with a desired area unit and expressed as movement from one area unit to another area unit (step S122).

  The attribute determination unit 602H determines whether or not the movement information should be used for outputting the population flow rate information based on the attribute information, and selects only the movement information to be used (step S123).

  The totaling unit 602I extracts population flow rate information by totaling (integrating) the movement information (step S124), and outputs it to the control unit 603. In the present embodiment, the totaling unit 602I includes general population flow information that is not classified by attribute, and population by predetermined attribute (for example, by age group (10's, 20's, 30's ...)). Flow rate information is extracted and output to the control unit 603. The “population flow rate information” here is extracted in consideration of not only the number flowing into a certain area but also the number flowing out from the same area. That is, regarding the population flow rate, the number of both “inflow” and “outflow” is considered instead of a single direction.

  Then, the control unit 603 performs the following communication traffic control based on the population flow rate information output from the totaling unit 602I (step S125). Communication traffic control here includes (1) access restriction control based on general population flow information that is not classified by attributes, and (2) degeneration based on general population flow information that is not classified by attributes. A total of four cases are taken up: operation control, (3) access restriction control based on population flow information by predetermined attribute, and (4) degenerate operation control based on population flow information by predetermined attribute. For (1) and (3), access restriction control in “base station units” is exemplified below, but access restriction control may be performed in “switch units”. For (2) and (4), degenerate operation control in “base station units” is exemplified below, but degenerate operation control may be performed in “exchange units”. In addition, “degenerate operation” here refers to, for example, operating by reducing the amount of resources of the entire network to the required amount using virtualization technology, and temporarily stopping unnecessary radio channels among the radio channels. It shows that the operation of the neighboring base stations is stopped by expanding the area by increasing the output of some base stations. However, it is not limited to these.

  First, (1) an example of access restriction control based on general population flow information that is not classified by attribute will be described with reference to FIG. As shown in FIG. 28, the control unit 603 refers to general population flow information that is not classified by attribute among the population flow information output from the totaling unit 602I (step S231), and moves to a certain target area. It is determined whether or not the incoming population flow rate is equal to or greater than the first threshold value X (step S232). Here, if the population flow rate entering the target area is less than the first threshold value X, it is expected that the amount of communication traffic in the target area is unlikely to increase to a level that requires communication traffic control. The process ends without performing control.

  On the other hand, if the population flow rate entering the target area is greater than or equal to the first threshold value X, the population flow rate entering the target area is greater than or equal to the second threshold value Y using a second threshold value Y greater than the first threshold value X. Whether or not (step S233). Here, if the population flow rate entering the target area is equal to or greater than the second threshold Y, it is expected that the amount of communication traffic in the target area is likely to increase considerably. Access restriction) is performed (step S234). On the other hand, if the population flow rate entering the target area is less than the second threshold Y (ie, greater than or equal to the first threshold X and less than the second threshold Y), the amount of communication traffic in the target area increases to some extent, and some access Since it is predicted that there is a high possibility of requiring regulation control, access regulation control with a low regulation level (access regulation with xx% lower than yy%) is performed (step S235).

  As described above, access restriction control based on general population flow rate information is performed. The process of FIG. 28 is repeated every predetermined unit time. The process of FIG. 28 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, an example of degenerate operation control based on (2) general population flow information that is not classified by attribute will be described with reference to FIG. As shown in FIG. 29, the control unit 603 refers to general population flow information that is not classified by attribute among the population flow information output from the totaling unit 602I (step S231), and moves to a certain target area. It is determined whether or not the incoming population flow is equal to or greater than the first threshold value X (step S232). Here, if the population flow rate entering the target area is less than the first threshold value X, it is expected that the communication traffic volume in the target area is unlikely to increase to a level that requires communication traffic control. The process ends without performing control.

  On the other hand, if the population flow rate entering the target area is greater than or equal to the first threshold value X, the population flow rate entering the target area is greater than or equal to the second threshold value Y using a second threshold value Y greater than the first threshold value X. Whether or not (step S233). Here, if the population flow rate entering the target area is greater than or equal to the second threshold Y, it is expected that the amount of communication traffic in the target area may increase unexpectedly. Degeneration operation control (degeneration operation control with a degeneration rate of bb%) is performed (step S236). On the other hand, if the population flow rate entering the target area is less than the second threshold Y (that is, greater than or equal to the first threshold X and less than the second threshold Y), the amount of communication traffic in the target area increases to some extent, but suddenly Therefore, the degeneration operation control (degeneration operation control in which the degeneration rate is aa% (a rate higher than bb%)) is performed with a maximum degeneration rate (step S237). .

  Degenerate operation control based on general population flow information is performed as described above. Note that the process of FIG. 29 is repeated every predetermined unit time. The process of FIG. 29 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, (3) an example of access restriction control based on population flow information for each predetermined attribute will be described with reference to FIG. As shown in FIG. 30, the control unit 603 is configured by a predetermined attribute among the population flow rate information output from the totaling unit 602I (here, as an example, by age group (10's, 20's, 30's ...)). The population flow rate A under 40 years old entering a certain target area and the population flow rate B over 40 years old entering the target area are obtained (step S241). Then, the control unit 603 determines whether the population flow rate A under 40 years old is equal to or greater than a predetermined threshold value X (step S242), and whether the population flow rate B over 40 years old is equal to or greater than the predetermined threshold value X. Is determined (steps S243 and S244).

  Generally, a person under 40 years old often uses e-mail or the like on a mobile device as compared with a person over 40 years old. Therefore, the amount of communication traffic per person under 40 years old is 1 for those over 40 years old. More than the amount of communication traffic per person. Therefore, among the population flow rate A under 40 years old and the population flow rate B over 40 years old, when only the population flow rate B over 40 years old is the threshold value X or more, the population flow rate A under 40 years old is less than the threshold value X. Although the amount of communication traffic increases to some extent, it is predicted that there will be no significant increase. Therefore, the access restriction control (xx% access restriction) having the lowest restriction level is performed (step S247). On the other hand, when only the population flow rate A under 40 years old is greater than or equal to the threshold value X, the amount of communication traffic is predicted to be greater than when only the population flow rate B over 40 years old is greater than or equal to the threshold value X. Access restriction control (yy% access restriction) higher than the access restriction is performed (step S246).

  Also, when both the population flow rate A under 40 and the population flow rate B over 40 are both greater than or equal to the threshold value X, it is predicted that the amount of communication traffic will increase considerably. Access restriction) (step S245). On the other hand, when both the population flow rate A under 40 years old and the population flow rate B over 40 years old are less than the threshold value X (in the case of negative determination in step S242 and negative determination in step S244), the amount of communication traffic in the target area is Since it is expected that the possibility of increasing to a level requiring communication traffic control is low, the process is terminated without performing access restriction control.

  As described above, access restriction control based on population flow information for each attribute is performed. The process of FIG. 30 is repeated every predetermined unit time. The process of FIG. 30 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  Next, (4) an example of degenerate operation control based on population flow information for each predetermined attribute will be described with reference to FIG. As shown in FIG. 31, the control unit 603 includes a predetermined attribute among the population flow information output from the totaling unit 602I (here, as an example, by age group (10's, 20's, 30's ...)). The population flow rate A under 40 years old entering a certain target area and the population flow rate B over 40 years old entering the target area are obtained (step S241). Then, the control unit 603 determines whether the population flow rate A under 40 years old is equal to or greater than a predetermined threshold value X (step S242), and whether the population flow rate B over 40 years old is equal to or greater than the predetermined threshold value X. Is determined (steps S243 and S244).

  Generally, a person under 40 years old often uses e-mail or the like on a mobile device as compared with a person over 40 years old. Therefore, the amount of communication traffic per person under 40 years old is 1 for those over 40 years old. More than the amount of communication traffic per person. Therefore, among the population flow rate A under 40 years old and the population flow rate B over 40 years old, when only the population flow rate B over 40 years old is the threshold value X or more, the population flow rate A under 40 years old is less than the threshold value X. Although the amount of communication traffic increases to some extent, the possibility of sudden increase is expected to be low. For this reason, the degeneration operation control (degeneration operation control in which the degeneration rate is higher than cc% and bb%, which will be described later) is performed with the degeneration rate maximized (step S250). On the other hand, when only the population flow rate A under 40 years old is greater than or equal to the threshold value X, it is predicted that the possibility of sudden increase in the amount of communication traffic is higher than when only the population flow rate B over 40 years old is greater than or equal to the threshold value X. Therefore, the degeneration operation control is performed so that the rate of degeneration is higher than cc%, which will be described later, and is lower than the above aa% (step S249).

  In addition, when both the population flow rate A under 40 years old and the population flow rate B over 40 years old are greater than or equal to the threshold value X, the possibility of sudden increase in communication traffic is predicted to be the highest, so the rate of degeneration Is reduced and the degeneration operation control (degeneration operation control with a degeneration rate of cc% lower than the above aa% and bb%) is performed (step S248). On the other hand, if both the population A under 40 and the population B over 40 are less than the threshold value X (in the case of negative determination in step S242 and negative determination in step S244), the process ends without performing the degenerate operation control. To do.

  As described above, the degenerate operation control based on the population flow information for each attribute is performed. The process of FIG. 31 is repeated every predetermined unit time. Further, the process of FIG. 31 is a process at the time of performing the communication traffic control, and the cancellation of the communication traffic control is executed with the same logic.

  According to the second embodiment described above, communication traffic control is not performed based on the communication traffic volume as in the past, but based on the mobile user's dynamic information (here, population flow information) that causes the generation of the communication traffic volume. Therefore, more rapid and accurate communication traffic control can be executed. Therefore, for example, a congestion state can be prevented beforehand by communication traffic restriction control, and power consumption can be minimized by degenerate operation control. Further, communication traffic control can be performed on the basis of attribute-specific behavior information (here, attribute-specific population flow rate information), and finer communication traffic control according to the attributes of each mobile device user can be performed.

  In the first and second embodiments, examples of population distribution information and population flow information have been described as dynamic information. However, dynamic information is not limited thereto, and population distribution information and population flow information. It may be difference information (time-series change amount information) about each, or peripheral information about each of population distribution information and population flow information.

  Moreover, although access restriction control and degenerate operation control have been taken up as communication traffic control, the communication traffic control is not limited to these, and includes various communication traffic controls. The access restriction control and degenerate operation control methods described in the first and second embodiments are merely examples, and various methods can be employed. Moreover, you may perform communication traffic control separately for every attribute. For example, communication traffic control such as access restriction may be performed according to independent standards for young and elderly.

  DESCRIPTION OF SYMBOLS 10 ... Communication system, 100 ... Mobile station, 200 ... BTS, 300 ... RNC, 301 ... Positioning part, 302 ... RNC communication control part, 400 ... Switch, 401 ... Exchanger communication control part, 402 ... Conversion part, 403 ... Memory | storage part , 500 ... Management center, 501 ... Social sensor unit, 502 ... Petamining unit, 503 ... Mobile demography unit, 504 ... Visualization solution unit, 600 ... Communication traffic control device, 601 ... Positioning information acquisition unit, 602 ... Dynamic information extraction Part, 602A ... position calculating part, 602B ... association part, 602C ... attribute judgment part, 602D ... acquisition opportunity judgment part, 602E ... aggregation part, 602F ... position extraction part, 602G ... association part, 602H ... attribute judgment part, 602I ... Totaling unit, 603 ... Control unit, 604 ... Attribute information holding unit, 700 ... Addition User profile information storage unit.

Claims (4)

A communication traffic control device connected in a communicable state with a radio network control device that controls a base station that controls a sector in which a mobile station is located,
A positioning information acquisition unit for acquiring positioning information including at least position information of the mobile device;
Based on the positioning information acquired by the positioning information acquisition unit, a dynamic information extraction unit that extracts the dynamic information of the mobile device user,
Based on the mobile user's dynamic information extracted by the dynamic information extracting unit, a control unit that performs communication traffic control,
A communication traffic control device comprising: The communication traffic control device includes:
An attribute information holding unit that holds attribute information of each mobile device user;
The dynamic information extraction unit extracts dynamic information for each attribute based on the attribute information of each mobile device user held by the attribute information holding unit and the obtained positioning information,
The control unit performs communication traffic control based on the extracted dynamic information for each attribute.
The communication traffic control apparatus according to claim 1.   The communication traffic control device according to claim 1, wherein the control unit performs communication traffic restriction control or degenerate operation control as communication traffic control. A communication traffic control method executed by a communication traffic control device connected in a communicable state with a radio network control device that controls a base station that controls a sector where a mobile station is located,
A positioning information acquisition step of acquiring positioning information including at least position information of the mobile device;
Based on the positioning information acquired by the positioning information acquisition step, the dynamic information extraction step of extracting the mobile user dynamic information,
A communication traffic control step for performing communication traffic control based on the mobile device user dynamic information extracted by the dynamic information extraction step;
A communication traffic control method comprising:

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