JP6527595B2 - Communication management device, communication system and management program - Google Patents

Description

  The present invention relates to a communication management device, a communication system and a management program.

  In a wireless communication system such as a cellular communication system, a communication management server (TMS server) is provided to monitor traffic in the wireless communication system. Then, the communication management server collects data of the congestion degree of the base station.

  Also, in a wireless communication system, terminals with low radio wave reception quality (CQI: Channel Quality Indicator) are assigned a coding method and modulation method with poor efficiency from the base station, and when a certain amount of communication is actually performed, the base station This causes a decrease in the utilization efficiency of the station bandwidth.

  On the other hand, Patent Document 1 describes that a terminal having poor communication quality in a wireless area and dominating traffic in a wired section is described (see the abstract), and the wireless base station uses a wireless communication terminal. The communication history is collected, and it is described that the communication history includes, for example, information on the communication of the wireless section between the wireless communication terminal and the base station and includes the throughput of the wireless section (see paragraph 0015).

JP, 2013-143625, A

  By using the technology described in Patent Document 1, it is possible to collect information on the communication quality of the wireless section from the wireless communication terminal and manage the wireless communication system. However, since the wireless base station collects information from the wireless communication terminal, traffic in the wireless section increases. Also, since the wireless base station accommodates many wireless communication terminals, the processing related to the communication quality of each wireless communication terminal leads to an increase in processing load.

  Therefore, an object of the present invention is to determine the quality for determining the utilization efficiency of the base station bandwidth without increasing the processing load and traffic.

  A representative communication management device according to the present invention is a communication management device that manages a communication system, and includes a wireless base station wirelessly communicating with a plurality of wireless terminals including a first wireless terminal, and communication with the wireless base station Managing the communication system, and acquiring first information on congestion of the plurality of wireless terminals in the wireless base station, and the first wireless communication of the gateway device and the wireless base station The second information on the communication for the terminal is acquired, and using the acquired first information and the second information, the estimate value of the quality on the radio from the radio base station in the first radio terminal is calculated A communication management apparatus characterized by:

  According to the present invention, it is possible to obtain the quality for determining the utilization efficiency of the base station bandwidth without increasing the processing load and traffic. Further, problems, configurations and effects other than those described above will be clarified by the description of the following embodiments.

FIG. 2 is a diagram illustrating an example of a configuration of a wireless communication system according to a first embodiment. It is a figure which shows the example of a structure of DPI apparatus. It is a figure which shows the example of a structure of a base station information management table. It is a figure which shows the example of a structure of a user traffic information management table. It is a flow chart which shows an example of traffic analysis processing. It is a figure which shows the example of RTT measurement opportunity. It is a figure which shows the example of a throughput measurement opportunity. FIG. 2 is a diagram illustrating an example of the configuration of a traffic management server according to a first embodiment. It is a figure which shows the example of a structure of a base station congestion information management table. It is a figure which shows the example of a structure of a user information management table. It is a figure which shows the example of a structure of a hand-over information management table. It is a figure which shows the example of a structure of the estimation formula information management table for RTT. It is a figure which shows the example of a structure of the presumed-formula information management table for throughput. It is a figure which shows the example of a structure of a notification information management table. It is a flowchart which shows the example of a user information notification process. It is a flow chart which shows an example of terminal move judging processing. It is a flowchart which shows the example of a wireless quality estimation process. It is a flowchart which shows the example of utilization base station resource estimation processing. It is a flowchart which shows the example of a user information notification determination process. It is a flowchart which shows the example of an estimation formula parameter generation process. FIG. 7 is a diagram illustrating an example of a configuration of a wireless communication system according to a second embodiment. It is a figure which shows the example of a structure of a position management server. It is a figure which shows the example of a structure of a positional infomation management table. It is a flow chart which shows an example of position information acquisition processing. FIG. 7 is a diagram illustrating an example of the configuration of a traffic management server according to a second embodiment. It is a figure which shows the example of a structure of a radio | wireless quality map information management table. It is a figure which shows the structural example of a radio | wireless quality distribution statistical map information management table. It is a flowchart which shows the example of a wireless quality map drawing process. It is a flowchart which shows the example of a wireless quality distribution statistical map drawing process. It is a figure which shows the example of a wireless quality map. It is a figure which shows the example of a wireless quality distribution statistical map.

  Hereinafter, embodiments of the present invention will be described in detail based on the drawings.

  In the following embodiments, when it is necessary for convenience of explanation, although divided into a plurality of sections or embodiments and described, they are not unrelated to each other unless specifically stated otherwise. The other part or all of the variations, the details, the supplementary explanation, and the like are related.

  Further, in the following embodiments, when referring to the number of elements (including the number, numerical value, quantity, range, etc.), unless otherwise specified, or in principle when clearly limited to a specific number, etc. The number is not limited to the specific number but may be more or less than the specific number.

  Furthermore, in the following embodiments, it is needless to say that the constituent elements (including element steps and the like) are not necessarily essential unless specifically stated or considered to be obviously essential in principle. Yes.

  In this embodiment, an example of a cellular communication system using LTE standardized by 3GPP is shown as an example of a wireless communication system.

  FIG. 1 is a diagram illustrating an example of a configuration of a wireless communication system according to a first embodiment. The wireless communication system according to the first embodiment includes an eNodeB (E-UTRAN Node B) 102 which is a base station apparatus, an S-GW (Serving Gateway) 103 and a P-GW (Packet Data Network Gateway) 104 which are gateway apparatuses, and a management apparatus. It has an MME (Mobility Management Entity) 105, a packet detailed analysis device DPI (Deep Packet Inspection) device 108, and a traffic management server 109. A UE (User Equipment) 101 as a user terminal is connected to the eNodeB 102, and a RAN (Radio Access Network) 106 is configured.

  The S-GW 103 has a user plane traffic forwarding function. The P-GW 104 has an interface with a packet data network (PDN) 111 that is a packet data network that provides services to users. The P-GW 104 may have a Policy and Charging Enforcement Function (PCEF).

  The PCEF implements policy control in accordance with a predetermined policy. The MME has a control plane transfer function, and performs management of mobility of the UE 101, signaling control, and the like. The MME 105 and the S-GW 103 are connected to each other, and the S-GW 103 and the P-GW 104 are connected to each other to configure an EPC (Evolved Packet Core: core network) 107.

  The DPI device 108 is a device for acquiring packets transferred on the network, and acquires traffic or signaling transmitted / received between the eNodeB 102 and the S-GW 103 and between the eNodeB 102 and the MME 105. The DPI apparatus 108 transmits traffic or signaling information including the acquired communication quality for each UE 101 to the traffic management server 109. The communication quality is the communication quality for each UE 101, and is an index that indicates the reception quality in the downlink direction between the mobile network, specifically, the P-GW 104 and the UE 101 here.

  The traffic management server 109 uses the information acquired from the DPI device 108 to estimate the radio quality (for example, CQI) between the eNodeB 102 and the UE 101 and the base station resource amount allocated to the UE 101 by the eNodeB 102. The radio quality is an index indicating the reception quality of radio waves and signals between the UE 101 and the eNodeB 102. A base station resource is an index (for example, a frequency bandwidth, a time unit, RB: Resource Block) which shows the radio resource which eNodeB102 allocates to UE101.

  Also, the traffic management server 109 outputs the estimated radio quality and base station resource amount to the external device. The external devices are all devices including network devices such as the P-GW 104 and the S-GW 103, and other commonly used servers, etc., and an example of the P-GW 104 is shown in FIG.

  The DPI device 108 is installed for each S-GW 103 and MME 105, and the traffic transferred at the reference point S1-U between the eNodeB 102 and the S-GW 103 and the traffic transferred at the reference point S11 between the eNodeB 102 and the MME 105 To get

  One DPI device 108 may accommodate a plurality of S-GWs 103 and MMEs 105, and a plurality of DPI devices 108 may accommodate one S-GW 103 and one MME 105. Also, the DPI device 108 and the traffic management server 109 may be accommodated in one computer.

  FIG. 2 is a diagram showing an example of the configuration of the DPI device 108. As shown in FIG. The processing content of the DPI device 108 is stored in the form of a program (software) in the auxiliary storage device 302 of a general computer, and a CPU (Central Processing Unit) 304 reads the program read from the auxiliary storage device 302 onto the memory 301. Deploy and run. The DPI apparatus 108 communicates information on communication quality and the like with the traffic management server 109 via the network I / F (interface) 305.

  Also, the DPI device 108 is connected to the reference points S-1U and S11 via the monitoring I / F 306, and receives packets included in the traffic. The DPI device may have a plurality of monitoring I / Fs 306. For example, according to the plurality of eNodeBs 102, S-GWs 103, and MMEs 105 to be monitored, monitoring I / Fs 306 for the number of reference points S-1U and S11 are provided. May be

  The I / O (input / output interface) 303 is a user interface for the user to input an instruction to the DPI device 108 and present the user with the execution result of the program. Input / output devices (for example, a keyboard, a mouse, a touch panel, a display, a printer, and the like) are connected to the I / O 303. The I / O 303 may be connected to a user interface provided by a management terminal connected via a network.

  The memory 301 of the DPI device 108 stores a traffic analysis program 312. The traffic analysis program 312 is a program for executing a traffic analysis process (see FIG. 5). Further, the memory 301 stores a base station information management table 321 (see FIG. 3) and a user traffic information management table 322 (see FIG. 4).

  The program executed by the CPU 304 is provided to the DPI device 108 via removable media (CD-ROM, flash memory, etc.) or a network, and is stored in the auxiliary storage device 302 which is a non-transitory storage medium. To this end, the DPI device 108 may have an interface for reading data from removable media.

  The DPI device 108 is a computer system that is physically configured on one computer or logically or physically on a plurality of computers, and the programs stored in the memory 301 are separate on the same computer. The virtual machine may operate on a virtual machine built on multiple physical computer resources.

  FIG. 3 is a diagram showing an example of the configuration of the base station information management table 321. As shown in FIG. The base station information management table 321 stores congestion information related to the eNodeB 102. Specifically, the base station information management table 321 includes an ECGI 3211 in which an ECGI (E-UTRAN Cell Global ID) for uniquely identifying a cell of the eNodeB 102 is stored, and a measurement period in which a time when congestion information is acquired is stored. And 3212.

  Further, with respect to the cell identified by the ECGI 3211 as the basic statistical information 3213, the base station information management table 321 is the number of connected UEs 3214 in which the number of UEs 101 connected to the identified cell is stored. It includes a transfer byte number uplink 3215 in which the amount of uplink data (number of bytes) to be transferred is stored, and a transfer byte number downlink 3216 in which the amount of downlink data (number of bytes) transferred in the identified cell is stored.

  In addition, since information such as the time when congestion information was acquired and the number of connected UEs 101 are associated with the cell identified by the ECGI 3211 and managed, the base station information management table 321 shown in FIG. 3 is used as a table. One line constitutes one unit of information, which is called a record. Similarly, in the other tables described below, one row of the table on the drawing is referred to as a record.

  FIG. 4 is a diagram showing a configuration example of the user traffic information management table 322. As shown in FIG. In the user traffic information management table 322, statistical information on the UE 101 connected to the wireless communication system is measured by the DPI apparatus 108 and stored. Specifically, the user traffic information management table 322 uniquely identifies the IMSI 3221 in which the IMSI (International Mobile Subscriber Identity) for uniquely identifying the UE 101 is stored, and the cell of the eNodeB 102 to which the UE 101 identified by the IMSI 3221 is connected. It includes an ECGI 3222 for identification and a time 3223 at which the time when the statistical information is measured is stored.

  Further, for the UE 101 identified by the IMSI 3221 as the statistical information 3224, the user traffic information management table 322 is identified as the number of transferred bytes 3225 in which the amount (number of bytes) of data transferred by the identified UE 101 is stored. It includes the number of transferred packets 3226 in which the number of packets transferred by the UE 101 is stored, and communication quality information 3227 in which information of communication quality of the identified UE 101 is stored.

  Communication quality information 3227 includes throughput (see FIG. 7) such as data transfer rate, delay (see FIG. 6) such as RTT (Round Trip Time), and packet loss rate, but may include only a part of the illustrated index It may well include other indicators (such as jitter) indicating communication quality.

  FIG. 5 is a flowchart showing an example of traffic analysis processing. The traffic analysis process is a process performed by the traffic analysis program 312 being executed by the CPU 304 of the DPI device 108. When the traffic analysis program 312 receives a message of the S1-U, S11 interface, it executes traffic analysis processing, and updates the base station information management table 321 and the user traffic information management table 322.

  First, the DPI apparatus 108 executing the traffic analysis program 312 acquires messages at reference points S1-U and S11 (step 3121), and updates the basic statistical information 3213 of the base station information management table 321 with the acquired messages ((1) Step 3122). For example, the DPI apparatus 108 extracts a TEID (Tunnel Endpoint Identifier) from the user traffic of the reference point S1-U, and detects the connection of a new UE 101, and increases the number of connected UEs 3214. Also, when the release of the connection of the UE 101 is detected, the number of connected UEs 3214 is decreased.

  Furthermore, the DPI device 108 measures communication quality on the S1-U interface (step 3123). Then, based on the measured communication quality, the user traffic information management table 322 is updated (step 3124), and the information updated in the base station information management table 321 and the user traffic information management table 322 is transmitted to the traffic management server 109 (Step 3125).

  FIG. 6 is a diagram showing an example of RTT measurement timing. The DPI device 108 acquires packets transmitted and received between the server provided in the PDN 111 and the UE 101 at the packet monitoring points (reference points S-1U and S11) on the network, and measures RTT. The measurement timing of RTT is typically the following two.

(1) RAN RTT measurement 1081 for the SYN packet
Measure the time difference between the SYN + Ack packet and the Ack packet with the corresponding sequence number.

(2) RAN RTT measurement 1082 for Data packet
Measure the time difference between the Data packet and the Ack packet with the corresponding sequence number.

  A plurality of measurements may be performed and an average of the plurality of measurement results may be used, or any measurement result may be used.

  FIG. 7 is a diagram showing an example of a throughput measurement trigger. The measured throughput is obtained by the DPI device 108 acquiring packets transmitted and received between the server provided in the PDN 111 and the UE 101 at a packet monitoring point (reference points S-1U and S11) on the network, and measuring the throughput Do.

  The throughput is calculated by dividing the total number of transfer bytes of Data packets transmitted in the throughput measurement period by the time of the throughput measurement period. The throughput may be one obtained by averaging the throughputs measured in a plurality of throughput measurement periods, or the throughput measured in any of the throughput measurement periods may be used. The throughput measurement period is typically the following four.

(1) Instantaneous throughput measurement 1083
Period from Data packet to Ack packet with corresponding sequence number.

(2) Burst throughput measurement 1084
The period from the first consecutive packet to the last packet of Data or Ack packets sent consecutively.

(3) HTTP session throughput measurement 1085
Period from Request packet to HTTP Response packet.

(4) TCP session throughput measurement 1086
Period from SYN packet to Fin packet.

  Although illustration is omitted, the throughput for each predetermined data transfer amount (for example, 100 K bytes) may be measured.

  FIG. 8 is a diagram illustrating an example of the configuration of the traffic management server 109 according to the first embodiment. The traffic management server 109 is configured by a general computer, and includes a CPU 204, a memory 201, an auxiliary storage device 202, an I / O 203, a network I / F 205, and a DPI device I / F 206.

  The I / O 203 is a user interface for the user to input an instruction to the traffic management server 109 and to present the execution result of the program to the user. Input / output devices (for example, a keyboard, a mouse, a touch panel, a display, a printer, and the like) are connected to the I / O 203. The I / O 203 may be connected to a user interface provided by a management terminal connected via a network.

  The CPU 204 is a processor that executes a program stored in the memory 201. The memory 201 includes a ROM (Read Only Memory) which is a non-volatile storage element and a RAM (Random Access Memory) which is a volatile storage element. The ROM stores an immutable program (for example, a BIOS (Basic Input Output System)). The RAM is a high-speed and volatile storage element such as a dynamic random access memory (DRAM), and temporarily stores the program stored in the auxiliary storage device 202 and data used when the program is executed.

  Specifically, the memory 201 includes a user information notification program 211, a terminal movement determination program 212, a wireless quality estimation program 213, a use base station resource estimation program 214, a user information notification determination program 215, and a wireless quality estimation formula parameter generation program 216. Is stored.

  The user information notification program 211 is a program for executing user information notification processing (see FIG. 14). The terminal movement determination program 212 is a program for executing a terminal movement determination process (see FIG. 15). The wireless quality estimation program 213 is a program for executing a wireless quality estimation process (see FIG. 16).

  The use base station resource estimation program 214 is a program for executing the use base station resource estimation process (see FIG. 17). The user information notification determination program 215 is a program for executing user information notification determination processing (see FIG. 18). The wireless quality estimation equation parameter generation program 216 is a program for executing the wireless quality estimation process (see FIG. 19).

  The memory 201 also includes a base station congestion information management table 221 (see FIG. 9), a user information management table 222 (see FIG. 10), a handover information management table 223 (see FIG. 11), and an estimated formula information management table 224 (FIG. 12). And the notification information management table 225 (see FIG. 13) are stored.

  The auxiliary storage device 202 is, for example, a large-capacity and non-volatile storage device such as a magnetic storage device (HDD: Hard Disk Drive) or a flash memory (SSD: Solid State Drive). The auxiliary storage device 202 also stores programs executed by the CPU 204 and data used when the programs are executed. That is, the program is read from the auxiliary storage device 202, loaded into the memory 201, and executed by the CPU 204.

  The network I / F 205 is an interface device that controls communication with another device (for example, the P-GW 104) via the network. The DPI device I / F 206 is an interface device that controls communication with the DPI device 108. A plurality of DPI device I / Fs 206 may be provided depending on the number of DPI devices 108, or may be shared with the network I / F 205.

  The program executed by the CPU 204 is provided to the traffic management server 109 via removable media (CD-ROM, flash memory, etc.) or a network, and is stored in the auxiliary storage device 202 which is a non-temporary storage medium. Therefore, the traffic management server 109 may have an interface for reading data from removable media.

  The traffic management server 109 is a computer system configured physically on one computer, or on a plurality of logical or physical computers, and programs stored in the memory 201 are executed on the same computer. It may operate on a separate thread, or may operate on a virtual computer built on multiple physical computer resources. Also, the traffic management server 109 and other devices may be accommodated in one physical or logical computer. Note that all or part of the processing realized by the execution of the program may be realized by hardware (for example, a field-programmable gate array).

  FIG. 9 is a diagram showing an example of the configuration of the base station congestion information management table 221. As shown in FIG. The base station congestion information management table 221 stores congestion information on the eNodeB 102. Specifically, the base station congestion information management table 221 includes an ECGI 2211 in which an ECGI for uniquely identifying a cell of the eNodeB 102 is stored, and a measurement period 2212 in which a time when congestion information is acquired is stored.

  Further, for the cell identified by the ECGI 2211 as the basic statistical information 2213, the base station congestion information management table 221 identifies the number of connected UEs 2214 in which the number of UEs 101 connected to the identified cell is stored. The number of uplink data transferred (the number of bytes) to be transferred is stored in the transfer byte number uplink 2215, and the number of downlink data transferred in the identified cell (the number of bytes) is stored the transfer byte number downlink 2216.

  Each value of the base station congestion information management table 221 is stored by acquiring each value of the base station information management table 321 of the DPI device 108 from the DPI device 108.

  FIG. 10 is a diagram showing an example of the configuration of the user information management table 222. As shown in FIG. In the user information management table 222, the DPI device 108 measures statistical information on the UE 101 connected to the wireless communication system, and the user information management table 222 is acquired from the DPI device 108 and stored. Specifically, the user information management table 222 includes an IMSI 2221 in which an IMSI for uniquely identifying the UE 101 is stored, and an ECGI 2222 for uniquely identifying a cell of the eNodeB 102 to which the UE 101 identified by the IMSI 2221 is connected. And time 2223 at which the time when the statistical information was measured is stored.

  For the UE 101 identified by the IMSI 2221 as the statistical information 2224, the user information management table 222 transfers by the number of transferred bytes 2225 in which the amount of data (number of bytes) transferred by the identified UE 101 is stored and the identified UE 101 It includes the number of transferred packets 2226 in which the number of packets to be stored can be stored, and communication quality information 2227 in which information on the communication quality of the identified UE 101 is stored.

  The communication quality information 2227 includes throughput, delay such as RTT, and packet loss rate, but may include only a part of the illustrated indexes, and may include other indexes (such as jitter) indicating communication quality.

  Also, the user information management table 222 includes a movement determination result 2228 in which the result of the traffic management server 109 determining whether the UE 101 is moving is stored.

  FIG. 11 is a diagram showing an example of the configuration of the handover information management table 223. As shown in FIG. The handover information management table 223 measures the information of the eNodeB 102 connected by the UE 101 before and after the handover by the DPI device 108, and acquires and stores the information from the DPI device 108. Specifically, the handover information management table 223 includes an IMSI 2231 in which an IMSI for uniquely identifying the UE 101 is stored, and a time 2232 in which a time when the UE 101 identified by the IMSI 2231 is handed over is stored.

  For the UE 101 identified by the IMSI 2231 as the handover information 2233, the handover information management table 223 stores a handover source ECGI 2234 in which the ECGI of the handover source connected before the handover is stored and the ECGI of the handover destination connected after the handover And the handover destination ECGI 2235.

  The information stored in the handover information management table 223 is additionally stored, and is not overwritten or deleted for a preset time. Therefore, when the UE 101 identified by the same IMSI performs a plurality of handovers in a short time, information corresponding to the number of times of the handover is stored together with the time of the handover, and the handover information management table 223 becomes log information.

  12A and 12B are diagrams showing an example of the configuration of the estimation formula information management table 224. As shown in FIG. The estimation formula information management table 224 stores parameters in a formula used for estimation of radio quality (CQI) and parameters in a formula used for estimation of a base station resource.

  Specifically, the estimation formula information management table 224 in the example shown in FIG. 12A includes an ECGI 2241 in which an ECGI for uniquely identifying a cell of the eNodeB 102 to which the parameter is applied is stored, and a radio of a cell identified by the ECGI 2241. It includes radio quality estimation parameters (α 0, α 1, α 2) 2242 in which parameters for estimating quality (CQI) by RTT are stored.

  Further, the estimation formula information management table 224 is a value determined by the modulation scheme and coding rate set for each value (CQI1, CQI2, ... CQI15) of the radio quality (CQI) for the cell identified by the ECGI 2241. As the base station resource estimation efficiency 2243.

  On the other hand, in the estimation formula information management table 224 of the example shown in FIG. 12B, the parameters in the formula used for estimation of the radio quality (CQI) are different, and the radio quality (CQI) of the cell identified by the ECGI 2241 is throughput The wireless quality estimation parameters (β0, β1, β2) 2242 in which the parameters for estimation are stored are included.

  The wireless quality estimation parameter 2242 is a parameter set by the wireless quality estimation formula parameter generation program 216 (see FIG. 19), and whether the wireless quality estimation formula parameter generation program 216 measures RTT whether it is α or β It depends on whether it is a parameter set based on the result or a parameter set based on the measurement result of throughput.

  Therefore, either α or β may be set based on either RTT or throughput measurement result, or both α and β may be set based on both RTT and throughput measurement results. It may be set. Also, the base station resource estimation efficiency 2243 is obtained from information input by the user to the input / output device connected to the I / O 203.

  FIG. 13 is a diagram showing a configuration example of the notification information management table 225. As shown in FIG. The notification information management table 225 stores information that the traffic management server 109 notifies to an external device. Specifically, the notification information management table 225 includes an IMSI 2251 in which an IMSI for uniquely identifying the UE 101 is stored, and an ECGI 2225 for uniquely identifying a cell of the eNodeB 102 to which the UE 101 identified by the IMSI 2251 is connected. The time 2253 at which the time at which the information to be notified is stored is stored, the radio quality estimated value estimated by the traffic management server 109 and the used base station resource estimated value, and the estimated radio quality value 2254 and the used base station resource estimated value And 2255.

  FIG. 14 is a flowchart showing an example of user information notification processing. The user information notification process is a process performed by the user information notification program 211 being executed by the CPU 204 of the traffic management server 109. First, the traffic management server 109 starts the terminal movement judgment program 212 by the user information notification program 211 and executes the terminal movement judgment processing (refer to FIG. 15) to carry out the movement judgment of the UE 101 and does not move. The IMSI of the determined UE 101 is acquired (step 2111).

  After that, the traffic management server 109 sequentially sets the IMSI acquired in step 2111 as a target IMSI by the user information notification program 211, and repeatedly executes the processing from step 2112 to step 2114.

  At step 2112, the wireless quality estimation program 213 is activated, the wireless quality estimation process (see FIG. 16) is executed, and the CQI is estimated. The CQI is an indicator indicating the reception quality of the downlink channel between the eNodeB 102 and the UE 101, and the possible value thereof is predetermined in the wireless communication system. For example, 16 levels of CQI values from 0 to 15 are determined, and a modulation scheme and a transmission rate are defined corresponding to each CQI value.

  Here, although CQI is used as the radio quality, RSRP (Reference Signal Received Power), RSRQ (Reference Signal Resolved Quality), RSSI (Received Signal Strength Indicator), SINR, which are values representing the quality of radio sections other than CQI. (Signal-to-Interference plus Noise power Ratio) or the like may be used.

  In step 2113, the use base station resource estimation program 214 is activated, the use base station resource estimation process (see FIG. 17) is executed, and the base station resource amount allocated to the UE 101 by the eNodeB 102 is estimated. In step 2114, the user information notification determination program 215 is activated, the user information notification determination process (see FIG. 18) is executed, and it is determined whether to notify an external device for each UE 101, and registered in the notification information management table 225. Be done.

  When the processing from step 2112 to step 2114 is completed for all IMSIs of the UE 101 determined not to move, in step 2115, the traffic management server 109 transmits the information registered in the notification information management table 225 to the external device. Send.

  FIG. 15 is a flowchart illustrating an example of the terminal movement determination process. The terminal movement determination process is a process performed by the terminal movement determination program 212 being executed by the CPU 204 of the traffic management server 109. First, the traffic management server 109 acquires the IMSI registered in the IMSI 2221 of the user information management table 222 by the terminal movement judgment program 212 (step 2121), sequentially sets the acquired IMSI as a target, and steps 2122 to The process of 2117 is repeatedly executed.

  In step 2122, a record including the IMSI set as a target in the IMSI 2231 is acquired from the handover information management table 223. That is, the information on the handover regarding the UE 101 identified by the target IMSI is acquired.

  In step 2123, it is determined whether the plurality of ECGIs are included in the acquired handover information by determining whether or not the plurality of records are acquired. If it is determined that a plurality of ECGIs exist in the information of the handover, it is registered as a non-mobile terminal in the movement determination result 2228 of the user information management table 222 (step 2127), and the process is ended.

  On the other hand, when it is determined that a plurality of ECGIs exist in the handover information, the number of ECGIs (handovers) included in the period P is acquired. Here, the period P is acquired from the information input by the user to the input / output device connected to the I / O 203. Further, since the handover information management table 223 stores the time of handover at time 2232 as log information, it is the time of handover information of only the target IMSI acquired in step 2122, and step 2124 is executed. The number of times included in the time preceding the period P by the period P is acquired.

  Then, the number of ECGIs (handover) acquired in step 2124 is compared with a predetermined threshold A (step 2125). If it is determined that the number of ECGIs is equal to or greater than the predetermined threshold A, the mobile terminal is registered in the movement determination result 2228 of the user information management table 222 (step 2126). If it is determined that there is, it is registered as a non-mobile terminal in the movement determination result 2228 of the user information management table 222 (step 2127). The threshold A is acquired from information input by the user to the input / output device connected to the I / O 203.

  FIG. 16 is a flowchart illustrating an example of the wireless quality estimation process. The wireless quality estimation process is a process of estimating wireless quality using an estimation formula derived by multiple regression analysis, and is a process performed by the wireless quality estimation program 213 being executed by the CPU 204 of the traffic management server 109. .

  First, the traffic management server 109 acquires communication quality information of RTT or throughput from the communication quality information 2227 of the UE 101 that estimates the wireless quality of the user information management table 222 by the wireless quality estimation program 213 (step 2131). In addition, UE101 of the object which estimates radio | wireless quality is UE101 identified by the IMSI of the object set sequentially by the loop shown in FIG.

  In step 2132, the ECGI corresponding to the acquired communication quality information is acquired from the ECGI 2222, and the number of connected UEs 2214 of the basic statistical information 2213 is acquired as congestion information from the base station congestion information management table 221 using the acquired ECGI. . Furthermore, in step 2133, the values of α0, α1, α2 or the values of β0, β1, β2 of the wireless quality estimation parameter 2242 are acquired from the estimation formula information management table 224 using the ECGI corresponding to the acquired congestion information. .

  In step 2134, formula (1) or formula (2) is used from the communication quality information (RTT or throughput) acquired in step 2131 and the congestion information (number of connected UEs: UE in formula) acquired in step 2132 , Estimate the radio quality (CQI).

  Then, in step 2135, the calculated estimated value of CQI is associated with the target IMSI and output (stored) in the memory 201.

  FIG. 17 is a flowchart illustrating an example of a use base station resource estimation process. The use base station resource estimation process is a process of estimating the base station resource amount allocated to the UE 101 by the eNodeB 102, and is a process performed by the use base station resource estimation program 214 being executed by the CPU 204 of the traffic management server 109 .

  First, the traffic management server 109 acquires the radio quality estimate value (CQI) of the target IMSI estimated using the radio quality estimation program 213 by the use base station resource estimation program 214 (step 2141). The target IMSI is an IMSI sequentially set in the loop shown in FIG. Furthermore, in step 2142, the radio quality acquired in step 2141 from the efficiency 2243 for base station resource estimation in the estimation formula information management table 224 using the ECGI of the cell of the eNodeB 102 connected to the UE 101 identified by the target IMSI The efficiency corresponding to the CQI) is acquired.

  At step 2143, in the user information management table 222, the target IMSI acquires the number of downlink transfer bytes from the number of transfer bytes 2225 of the record included in the IMSI 2221. Then, in step 2144, the amount of used base station resources allocated by the eNodeB 102 to the UE 101 using equation (3) from the efficiency acquired in step 2142 and the number of downlink transfer bytes acquired in step 2143 (transmit_byte in the equation) Calculate the estimated value of

  At step 2145, the calculated estimated value of the used base station resource amount is associated with the target IMSI and output (stored) in the memory 201.

  FIG. 18 is a flowchart illustrating an example of user information notification determination processing. The user information notification determination process is a process of selecting the information of the user to be notified based on a specific condition and registering it in the notification information management table 225, and the user information notification determination program 215 is executed by the CPU 204 of the traffic management server 109. It is a process performed by being performed.

  First, the traffic management server 109 acquires the CQI related to the target IMSI and the utilization base station resource amount estimated by the radio quality estimation program 213 and the utilization base station resource estimation program 214 by the user information notification judgment program 215 (step 2151). ). The target IMSI is an IMSI sequentially set in the loop shown in FIG.

  Next, in step 2152, a base station resource total value obtained by obtaining and summing the use base station resource estimated values of all UEs 101 connected to the eNodeB 102 to which the UE 101 identified by the target IMSI is connected; The base station resource occupancy rate of the UE 101 identified by the target IMSI is calculated from the acquired available base station resource estimate. Specifically, the base station resource occupancy rate divides the use base station resource estimated value acquired in step 2151 by the total base station resource value.

  Even if the base station resource total value acquires information on the base station resource total value of the eNodeB 102 to which the UE 101 identified by the target IMSI is connected from the information input by the user to the input / output device connected to the I / O 203 Good. Also, based on the memory 201 or the notification information management table 225 as a result of completion of processing for all IMSI acquired in step 2121 by the user information notification program 211 executed before, the use base station stored in the memory 201 The estimated value of the resource amount may be summed, or the estimated value of the used base station resource amount registered in the utilized base station resource estimated value 2255 of the notification information management table 225 may be summed.

  Then, in step 2153, the calculated base station resource occupancy rate is compared with a predetermined threshold B, and when it is determined that the base station resource occupancy rate is smaller than the predetermined threshold B, the processing is terminated. On the other hand, when it is determined that the base station resource occupancy rate is equal to or higher than the predetermined threshold B, the CQI estimated value is compared with the predetermined threshold C and the threshold D under the following conditions (step 2154).

Condition 1: CQI estimated value 閾 値 threshold C
Condition 2: CQI estimated value ≦ threshold D
In conditions 1 and 2, threshold C and threshold D are thresholds for defining the range of CQI for notifying a wireless quality estimated value and the like, and threshold B is a threshold for determining the range of base station resource occupancy rate. These thresholds may be arbitrarily set by the user by the input / output device connected to the I / O 203. When it is determined that the condition 1 or the condition 2 is satisfied, the wireless quality estimated value 2254 of the notification information management table 225 and the used base station resource estimated value 2255 are registered in step 2155.

  As described above, without directly acquiring information on the radio quality from the UE 101, it is possible to calculate the estimated value of the radio quality of the UE 101 only by monitoring normal communication. Therefore, even if the radio quality is required in the normal use state of the user, the traffic is not increased, and an estimated value of the radio quality can be obtained. In addition, since a dedicated program for transmitting the radio quality to the UE 101 is not necessary, the introduction cost can be suppressed. And it can be used for the improvement of the utilization factor of the bandwidth of eNodeB102 by band control to UE101 with bad radio quality etc.

  FIG. 19 is a flowchart illustrating an example of estimation formula parameter generation processing. The estimation formula parameter generation processing is processing for generating the wireless quality estimation parameter 2242 of the estimation formula information management table 224, and is performed by the wireless quality estimation formula parameter generation program 216 being executed by the CPU 204 of the traffic management server 109. It is a process.

  First, the traffic management server 109 acquires the period T used for parameter calculation by the wireless quality estimation equation parameter generation program 216 (step 2161), and acquires an ECGI list (step 2162). The period T and the ECGI list are acquired from information input by the user to the input / output device connected to the I / O 203.

  Here, the period T is, for example, a period of a test, and in the period T, the radio quality (CQI) is acquired from the UE 101 and recorded together with the acquired time. In addition, in the period T, information is acquired from the DPI device 108 measured in the period T and stored in each of the base station congestion information management table 221 and the user information management table 222, respectively. The period T may be a period in which the number of times of wireless quality acquisition and the number of times of measurement by the DPI device 108 are sufficient for statistical processing.

  Then, the traffic management server 109 sequentially sets the ECGI included in the ECGI list acquired in step 2162 as the target ECGI by the wireless quality estimation equation parameter generation program 216, and repeatedly executes the processing from step 2163 to step 2167.

  In step 2163 in the loop, the base station congestion information management table 221 includes the target ECGI in the ECGI 2211 and acquires the number of connected UEs 2214 of the records in which the time of the measurement period 2212 is included in the period T as base station congestion information In the user information management table 222, the communication quality information 2227 of the record in which the ECGI 2222 includes the target ECGI and the time of time 2223 is included in the period T is acquired.

  At step 2164, the base station congestion information and communication quality information acquired at step 2153 are filtered. Among the acquired base station congestion information and communication quality information, since estimation equation parameters may be calculated using only significant data as statistical information, for example, from the acquired base station congestion information and communication quality information, the influence of noise Outliers may be removed. Also, data of a predetermined ratio (for example, 10%) of upper and lower portions of the acquired base station congestion information and communication quality information may be removed. Also, it may be filtered by radio quality.

  In step 2165, the base station congestion information and communication quality information filtered in step 2164 are associated with time and merged based on the time of measurement period 2212 and time 2223. Furthermore, the radio quality recorded with the time is associated with the time and merged. Based on a plurality of times included in the period T, there are a plurality of sets of the radio quality, the base station congestion information, and the communication quality information. Then, in step 2166, the radio quality is used as an objective variable, the base station congestion information and the communication quality information associated in step 2165 are used as explanatory variables, and estimation equation parameters are calculated by maximum likelihood estimation.

  For example, using a plurality of sets of radio quality (CQI), communication quality information (RTT), and base station congestion information (the number of connected UEs) associated in step 2165 and the formula (1), the estimation formula is estimated by maximum likelihood estimation. Calculate the values of the parameters α0, α1 and α2. Similarly, estimation is performed by maximum likelihood estimation using a plurality of sets of radio quality (CQI), communication quality information (throughput) and base station congestion information (number of connected UEs) correlated in step 2165 and equation (2). Calculate the values of the equation parameters β0, β1, β2.

  In step 2167, the estimation formula parameter calculated in step 2166 is stored in the wireless quality estimation parameter 2242 of the record in which the ECGI of the estimation formula information management table 224 includes the target ECGI.

  In the second embodiment, an example in which the location information of the UE 101 is also managed, and information on the wireless quality according to the location is provided will be described. FIG. 20 is a diagram illustrating an example of a configuration of a wireless communication system according to a second embodiment. The wireless communication system according to the second embodiment includes the UE 101 and the eNodeB 102 included in the RAN 106, the S-GW 103 and the P-GW 104, the MME 105, the DPI device 108, and the PDN 111 included in the EPC 107. The description is omitted because it is the same.

  The location management server 110 acquires location information from the UE 101 via the EPC 107 based on the information of the UE 101 received from the traffic management server 109, and transmits the location information to the traffic management server 109. The traffic management server 109 uses the information acquired from the DPI device 108 to set the radio quality (for example, received power, CQI) of the radio section between the eNodeB 102 and the UE 101, and the base station resource amount allocated to the UE 101 by the eNodeB 102. In addition to the process of estimating, the location information of the UE 101 is acquired from the location management server 110, and information on the wireless quality according to the location is provided.

  FIG. 21 is a diagram showing an example of the configuration of the position management server 110. As shown in FIG. The processing content of the location management server 110 is stored in the form of a program (software) in the auxiliary storage device 402 of a general computer, and the CPU 404 develops the program read from the auxiliary storage device 402 on the memory 401 and executes it. Do.

  The location management server 110 communicates with the traffic management server 109 and the UE 101 via the network I / F 405. Input / output devices (for example, a keyboard, a mouse, a touch panel, a display, a printer, and the like) are connected to the I / O 403. The memory 401 of the position management server 110 stores a position information acquisition program 411 for executing position information acquisition processing (see FIG. 23), and stores a position information management table 421 (see FIG. 22).

  The program executed by the CPU 404 is provided to the location management server 110 via removable media (CD-ROM, flash memory, etc.) or a network, and stored in the auxiliary storage device 402 which is a non-transitory storage medium. For this reason, the location management server 110 may have an interface for reading data from removable media.

  The location management server 110 is a computer system that is physically configured on one computer, or logically or physically on a plurality of computers, and programs stored in the memory 401 are stored on the same computer. It may operate on a separate thread, or may operate on a virtual computer built on multiple physical computer resources.

  The outline of the process of the location management server 110 will be briefly described. The location management server 110 obtains location information from the identified UE 101 using IMSI uniquely identifying the UE 101 obtained from the traffic management server 109, It is to output to the traffic management server 109.

  FIG. 22 is a diagram showing an example of the configuration of the position information management table 421. As shown in FIG. The position information management table 421 stores the position information collected from the UE 101. Specifically, the location information management table 421 includes an IMSI 4211 in which an IMSI for uniquely identifying the UE 101 is stored, and an ECGI 4212 for uniquely identifying a cell of the eNodeB 102 to which the UE 101 identified by the IMSI 4211 is connected. The time point 4213 at which the time when the UE 101 measured the position information is stored, and the position 4214 at which latitude and longitude, which are position information of the UE 101 identified by the IMSI 4211, are stored.

  FIG. 23 is a flowchart showing an example of position information acquisition processing. The position information acquisition process is a process performed by the position information acquisition program 411 being executed by the CPU 404 of the position management server 110. First, the position management server 110 acquires the IMSI of the UE 101 that is the target of position information acquisition from the traffic management server 109 according to the position information acquisition program 411 (step 4111). Here, the UE 101 identified by the acquired IMSI is the target UE 101.

  Next, in step 4112, the location information acquisition request is transmitted to the target UE 101, and location information is acquired from the target UE 101. Here, the information acquired from the target UE 101 may include measurement values such as radio quality measured by the UE 101 in addition to the location information. Then, in step 4113, the acquired position information of the UE 101 is registered in the position information management table 421.

  Furthermore, in step 4114, the acquired location information of the UE 101 is transmitted to the traffic management server 109. Here, when the measurement value such as the wireless quality is acquired from the target UE 101 in addition to the position information, it may be transmitted to the traffic management server 109.

  FIG. 24 is a diagram illustrating an example of the configuration of the traffic management server 109 according to the second embodiment. The traffic management server 109 according to the second embodiment is configured by a general computer, includes a CPU 204, a memory 201, an auxiliary storage device 202, an I / O 203, a network I / F 205, and a DPI device I / F 206, and is stored in the memory 201. Since these are the same as the respective ones described in the first embodiment except for some of the programs and tables to be described, the description will be omitted.

  The memory 201 stores a terminal movement determination program 212, a wireless quality estimation program 213, a use base station resource estimation program 214, a user information notification determination program 215, and a wireless quality estimation formula parameter generation program 216. Further, the memory 201 stores a base station congestion information management table 221, a user information management table 222, a handover information management table 223, and an estimated formula information management table 224. Since these are the same as those described in the first embodiment, the description will be omitted.

  The memory 201 further includes a wireless quality map drawing program 217 that executes wireless quality map drawing processing (see FIG. 27) and a wireless quality distribution statistical map drawing program 218 that executes wireless quality distribution statistical map drawing processing (see FIG. 28). Stored. The memory 201 also stores a wireless quality map information management table 226 (see FIG. 25) and a wireless quality distribution statistical map information management table 227 (see FIG. 26).

  FIG. 25 is a diagram showing a configuration example of the wireless quality map information management table 226. The wireless quality map information management table 226 stores information on the UE 101 for which the traffic management server 109 instructs the position management server 110 to acquire position information, and the position information of the UE 101 acquired from the position management server 110. Specifically, the wireless quality map information management table 226 includes an IMSI 2261 in which an IMSI for uniquely identifying the UE 101 is stored.

  Also, the radio quality map information management table 226 includes an ECGI 2262 for uniquely identifying the cell of the eNodeB 102 to which the UE 101 identified by the IMSI 2261 is connected, a time 2263 at which the time when the estimated value is stored, and traffic management A wireless quality estimated value 2264 and a used base station resource estimated value 2265 in which the wireless quality estimated value and the used base station resource estimated value estimated by the server 109 are stored, and a wireless quality acquired from the UE 101 identified by the IMSI 2261 are stored And a position 2267 in which latitude and longitude are stored as position information.

  FIG. 26 is a view showing a configuration example of the wireless quality distribution statistical map information management table 227. The wireless quality distribution statistical map information management table 227 stores the attribute of the grid drawn as a map, and one record represents the attribute of one grid. Specifically, the radio quality distribution statistical map information management table 227 stores an ECGI 2271 for uniquely identifying the cell of the eNodeB 102.

  In addition, the wireless quality distribution statistical map information management table 227 includes a position 2272 at which the latitude and longitude of the grid included in the cell identified by the ECGI 2271 are stored as position information, and a length direction of the grid identified at the position 2272 Stores the total size of data transferred with all the UEs 101 in the grid specified in the grid size 2273 in which the width in the horizontal and longitudinal directions is stored, the wireless quality 2274 in which the wireless quality information is stored, and the location 2272 The total number of transfer bytes 2275 is included.

  FIG. 27 is a flowchart illustrating an example of wireless quality map drawing processing. The wireless quality map drawing process is a process performed by the wireless quality map drawing program 217 being executed by the CPU 204 of the traffic management server 109. Steps 2171 to 2174 are the same as steps 2111 to 2114 described using FIG. 14 of the first embodiment. However, although registered in the notification information management table 225 at step 2114, it is registered at the wireless quality map information management table 226 at step 2174.

  After that, the traffic management server 109 transmits the IMSI registered in the IMSI 2261 of the radio quality map information management table 226 to the position management server 110 in order to acquire the position information of the UE 101 by the radio quality map drawing program 217 (step 2175) ). In IMS 2261 of the wireless quality map information management table 226, IMSI determined based on the threshold B, the threshold C, and the threshold D is registered.

  In step 2176, the location information of the UE 101 is acquired from the location management server 110. Here, the information acquired from the location management server 110 may include not only location information of the UE 101 but also information such as radio quality measured by the UE 101. At Step 2177, the position information of the UE 101 acquired at Step 2176 is registered in the position 2267 of the wireless quality map information management table 226. Moreover, when information such as radio quality measured by the UE 101 is acquired, the acquired radio quality may be registered in the radio quality acquisition value 2266 of the radio quality map information management table 226.

  At step 2178, based on the position information registered at the position 2267 of the wireless quality map information management table 226, the wireless quality is displayed on the map (see FIG. 29). Here, the wireless quality may be the wireless quality of the wireless quality acquisition value 2266 when the wireless quality is registered in the wireless quality acquisition value 2266 in step 2177, and may be the wireless quality of the wireless quality estimation value 2264 when not registered.

  FIG. 28 is a flowchart showing an example of wireless quality distribution statistical map drawing processing. The wireless quality distribution statistical map drawing process is a process performed by the wireless quality distribution statistical map drawing program 218 being executed by the CPU 204 of the traffic management server 109. First, the traffic management server 109 divides the map of the drawing area into grids by the wireless quality distribution statistical map drawing program 218 (step 2181).

  Then, the traffic management server 109 sequentially sets the unprocessed grids as the target grids according to the wireless quality distribution statistical map drawing program 218, and repeatedly executes the processing from step 2182 to step 2189.

  In step 2182 in the loop, information on the UE 101 located in the target grid is acquired from the wireless quality map information management table 226. Specifically, based on the position information of the position 2267, information is acquired from the IMSI 2261, the ECGI 2262, the time 2263, the wireless quality estimated value 2264 and the position 2267.

  Then, in step 2183, noise processing is performed on the acquired information on the UE 101. For example, by removing outliers, GPS measurement errors and CQI outliers are removed. Further, for example, an abnormal value generated due to the influence of noise or the like may be removed, and upper and lower predetermined proportions (for example, 10%) of data may be removed.

  In step 2184, the variation of the estimated value of the noise-processed CQI is calculated, and in step 2185, the calculated variation is compared with a predetermined threshold E set in advance. As a result, if it is determined that the calculated variation is equal to or greater than the predetermined threshold E, the grid of interest is too large, so in step 2186 the grid of interest is further divided and the grid generated by the division is not processed. And a grid of

  On the other hand, when it is determined that the calculated variation is smaller than the predetermined threshold E, in step 2187, a representative value of the estimated value of the noise-processed CQI is determined, and the wireless quality 2274 of the wireless quality distribution statistical map information management table 227. Record to Furthermore, in step 2188, the number of transfer bytes of the UE 101 located in the target grid is acquired from the number of transfer bytes 2225 of the user information management table 222, and in step 2189, the acquired number of transfer bytes is totaled to obtain the wireless quality distribution. The total transfer byte number 2275 of the statistical map information management table 227 is registered.

  In step 2189, although the total value of the number of transferred bytes is registered in the wireless quality distribution statistical map information management table 227, the number of UEs 101 located in the target grid, and transfer of the UEs 101 located in the target grid The total transfer packet number obtained by totaling the packet number, and the total throughput obtained by totaling the throughputs of the UEs 101 located in the target grid may be registered. Further, the total number of transfer bytes may be displayed on the map based on the position 2272 of the wireless quality distribution statistical map information management table 227, the lattice size 2273, and the total transfer byte number 2275 (see FIG. 30).

  FIG. 29 is a diagram illustrating an example of a wireless quality map. The radio quality map shown in FIG. 29 is obtained by dividing the radio quality of each UE 101 into multiple levels of rank and displaying the map based on the position information. In this example, one symbol represents the CQI rank of one UE 101, and the CQI value is divided into three ranks of 1 to 5, 6 to 10, and 11 to 15, but the number of ranks may be any number. .

  In addition, in the user information notification determination process described with reference to FIG. 18, only the information related to the UE 101 registered in the wireless quality map information management table 226 is displayed on the map, limited to the UE 101 whose CQI value is low due to the threshold D. In this example, UEs 101 having CQI values of 11 to 15 are not registered in the radio quality map information management table 226, and UEs 101 having CQI values of 1 to 5 and 6 to 10 are displayed on the map.

  FIG. 30 is a diagram showing an example of a wireless quality distribution statistical map. In the wireless quality distribution statistical map shown in FIG. 30, the total number of transfer bytes registered in the wireless quality distribution statistical map information management table 227 in the wireless quality distribution statistical map drawing processing in the area divided into grids of a predetermined size The grids are visually represented divided into multiple stages.

  For example, it is assumed that the total number of transfer bytes is 0 to 100000 bytes Low, 10000 1 to 200000 bytes Middle, and 200001 bytes or more High. In this example, the rank of the total number of transfer bytes is three stages, but the number of ranks of the total number of transfer bytes may be any number.

  Alternatively, the map may be a three-dimensional map having x-axis, y-axis and z-axis, and the total number of transferred bytes may be represented by the z-axis graph in the height direction. Also, not the total number of transfer bytes, but the total number of transfer packets obtained by adding the number of UEs 101 located in each lattice, the number of transfer packets of UEs 101 located in each lattice, and the throughput of UEs 101 located in each lattice The total throughput may be displayed on a map.

  As described above, it is also possible to manage the location information of the UE 101, and to provide information on radio quality according to the location and statistical information on communication. Further, even when information on radio quality is directly acquired from the UE 101, an increase in traffic can be suppressed by acquiring information from the specific UE 101. Then, the tendency depending on the position can be grasped, and it can be used to improve the communication area by moving or newly installing the eNodeB 102.

  In addition, the form for implementing this invention is not limited to the Example described above, A various modification and equivalent structure are included. For example, the above-described embodiments are described in detail to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Also, part of the configuration of one embodiment may be replaced with the configuration of another embodiment. Further, part of the configuration of another embodiment may be added to the configuration of one embodiment.

  The processing by the program described above may be realized by hardware, for example, by designing part or all of the processing by an integrated circuit, or the processing by hardware and the processing by a program may be combined. Information such as a program or a table can be stored in a memory, a storage device such as a hard disk drive (HDD) or a solid state drive (SSD), or a recording medium such as an IC card, an SD card, or a DVD. Further, control lines and information lines indicate what is necessary for explanation, and there may be control lines and information lines other than those shown.

101 UE
102 eNodeB
103 S-GW
104 P-GW
105 MME
106 RAN
108 DPI device 109 traffic management server 110 location management server 111 PDN

Claims (13)

A communication management apparatus for managing a communication system, comprising
Managing the communication system including a wireless base station that wirelessly communicates with a plurality of wireless terminals including a first wireless terminal, and a gateway apparatus that communicates with the wireless base station;
Acquiring first information on congestion of the plurality of wireless terminals in the wireless base station;
Acquiring second information regarding communication for the first wireless terminal between the gateway device and the wireless base station;
A communication management apparatus characterized by calculating an estimated value of a channel quality indicator (CQI) related to radio from the wireless base station in the first wireless terminal using the acquired first information and second information. . The communication management apparatus according to claim 1 ,
A communication management apparatus comprising: acquiring the number of the plurality of wireless terminals connected to the wireless base station as first information. The communication management apparatus according to claim 2 ,
A communication management device characterized in that a round trip time of data for the first wireless terminal transmitted from the gateway device to the wireless base station is acquired as second information. The communication management apparatus according to claim 2 ,
A communication management apparatus characterized by calculating throughput of data for the first wireless terminal transmitted from the gateway apparatus to the wireless base station and acquiring it as second information. A communication management apparatus according to any one of claims 3 or 4 , wherein
A communication management apparatus characterized by calculating an estimated value of CQI based on a polynomial including first information and second information as variables and including three kinds of preset coefficients. The communication management apparatus according to claim 5 , wherein
The wireless base assigned to the first wireless terminal using the calculated estimated value of CQI and third information on communication for the first wireless terminal between the gateway device and the wireless base station A communication management apparatus characterized by calculating an estimated value of a base station resource amount of a station. The communication management apparatus according to claim 6 , wherein
The relationship between a plurality of estimated values of CQI and a plurality of utilization rates of base station resources has information registered in advance,
Using the pre-registered information, obtain the utilization rate of the base station resource related to the calculated CQI estimate value,
Using the amount of data for the first wireless terminal transmitted from the gateway device to the wireless base station as third information;
A communication management apparatus comprising: calculating an estimated value of a wireless bandwidth allocated to the first wireless terminal as an estimated value of a base station resource amount of the wireless base station. The communication management apparatus according to claim 7 , wherein
Communication management characterized by registering information on a second wireless terminal of which the calculated CQI estimated value is determined to be equal to or less than a preset first threshold among the first wireless terminals. apparatus. The communication management apparatus according to claim 8 , wherein
Acquiring information on handovers of the plurality of wireless terminals;
Communication characterized in that a wireless terminal whose number of handovers is smaller than a second threshold value preset in a preset period is specified from among the plurality of wireless terminals as the first wireless terminal. Management device. The communication management apparatus according to claim 9 , wherein
Acquiring location information of the second wireless terminal;
A communication management apparatus characterized by displaying the calculated CQI estimated value of the second wireless terminal on a map based on the acquired position information. A communication system, comprising: a wireless base station wirelessly communicating with a plurality of wireless terminals including a first wireless terminal; and a gateway apparatus communicating with the wireless base station,
Acquiring first information on congestion of the plurality of wireless terminals in the wireless base station, and acquiring second information on communication between the gateway apparatus and the wireless base station for the first wireless terminal; An analyzer for transmitting the first information and the second information;
A communication management apparatus that calculates an estimated value of a CQI (Channel Quality Indicator) related to a radio from the radio base station in the first radio terminal using the first information and the second information received from the analysis apparatus; ,
A communication system characterized by comprising. The communication system according to claim 11, wherein
The analysis device
Acquiring the number of the plurality of wireless terminals connected to the wireless base station as first information;
A communication system, wherein a round trip time or calculated throughput of data for the first wireless terminal transmitted from the gateway device to the wireless base station is acquired as second information. A computer management program for managing a communication system, comprising
Managing the communication system including a wireless base station that wirelessly communicates with a plurality of wireless terminals including a first wireless terminal, and a gateway apparatus that communicates with the wireless base station;
Acquiring first information on congestion of the plurality of wireless terminals in the wireless base station;
Acquiring second information regarding communication for the first wireless terminal between the gateway device and the wireless base station;
A management program that causes a computer to calculate an estimated value of a channel quality indicator (CQI) related to a radio from the wireless base station in the first wireless terminal using the acquired first information and second information. .

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