Communication control device and communication control method

Abstract

The goal is to optimize network traffic. [Solution] The communication control device 1 includes a first calculation unit 11 configured to determine the entropy, which is the expected value of the amount of information obtained when communication occurs by each of the multiple communication terminals 2, from the communication occurrence probability of each of the multiple communication terminals 2 calculated based on the communication history of the multiple communication terminals 2; a determination unit 12 configured to determine the code length of a code corresponding to the communication occurrence probability of each of the multiple communication terminals 2, wherein the average code length corresponding to the communication occurrence probability of the multiple communication terminals 2 is set as the lower limit of the entropy; and a second calculation unit 13 configured to determine the communication speed of each of the multiple communication terminals 2 on a communication path, where the maximum value of the entropy is the communication path capacity, using the determined code length.

Description

[Technical Field]

[0001] The present invention relates to a communication control device and a communication control method. [Background technology]

[0002] In recent years, with the increase in the number of communication terminals, including IoT devices, technologies have been employed to design optimal transmission methods and to adaptively control communication speeds according to channel conditions and interference. Shannon's second fundamental theorem (channel coding theorem) states that under certain channel conditions, the error rate can be arbitrarily reduced by performing sufficiently long coding, as long as the transmission speed is below the channel capacity. Therefore, channel capacity is defined as the maximum transmission speed at which theoretically accurate communication is possible on that channel. Based on this theory, the channel capacity according to the channel conditions of each communication terminal is evaluated, and the transmission speed is controlled so as not to exceed that capacity, thereby assigning the optimal communication speed and keeping the error rate low.

[0003] For example, Patent Document 1 discloses a technique for ensuring communication quality by using error correction codes for redundancy of distribution information, and setting the encoding used in this process to satisfy the channel coding theorem using channel capacity estimated considering the state of surrounding nodes at any given time. Thus, in conventional techniques, as shown in Figure 5, instead of individually and in detail evaluating the probability of each communication event occurring at multiple communication terminals 200, it was assumed that the probability of a communication event occurring at all communication terminals 200 was the same, and the communication system was designed based on the entropy of a single communication terminal 200. The actual communication entropy for each communication terminal 200, that is, the entropy which is the expected value of the amount of information of the communication event occurring at that communication terminal 200, cannot be accurately reflected under the uniform assumption, and as a result, the system design was redundant compared to the actual communication pattern. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2017-033078 [Overview of the project] [Problems that the invention aims to solve]

[0005] Conventional technologies do not take into account the probability of communication events occurring at multiple communication terminals, making it difficult to optimize the overall network traffic in accordance with actual communication entropy.

[0006] This invention was made to solve the above-mentioned problems and aims to optimize network traffic. [Means for solving the problem]

[0007] To solve the above-mentioned problems, the communication control device according to the present invention comprises: a first calculation unit configured to determine entropy, which is the expected value of the amount of information obtained when communication occurs by each of the plurality of communication terminals, from the communication occurrence probability of each of the plurality of communication terminals calculated based on the communication history of the plurality of communication terminals; a determination unit configured to determine the code length of a code corresponding to the communication occurrence probability of each of the plurality of communication terminals, wherein the average code length of the code lengths corresponding to the communication occurrence probability of the plurality of communication terminals is set as the lower limit of the entropy; and a second calculation unit configured to determine the communication speed of each of the plurality of communication terminals on a communication path, where the maximum value of the entropy is the communication path capacity, using the determined code length.

[0008] Furthermore, the communication control device according to the present invention may also include an instruction unit configured to issue an instruction to the core network to set the communication speed determined by the second calculation unit to each of the plurality of communication terminals.

[0009] Furthermore, in the communication control device according to the present invention, the determination unit may determine the code length using Huffman coding.

[0010] Furthermore, the communication control device according to the present invention may also include an acquisition unit configured to acquire the communication history collected by the core network that controls the communication of the plurality of communication terminals.

[0011] To solve the above-mentioned problems, the communication control method according to the present invention comprises: a first calculation step of determining entropy, which is the expected value of the amount of information obtained when communication occurs by each of the plurality of communication terminals, from the communication occurrence probability of each of the plurality of communication terminals calculated based on the communication history of the plurality of communication terminals; a determination step of determining the code length of a code corresponding to the communication occurrence probability of each of the plurality of communication terminals, wherein the average code length of the code lengths corresponding to the communication occurrence probability of the plurality of communication terminals is set as the lower limit of the entropy; and a second calculation step of determining the communication speed of each of the plurality of communication terminals on a communication path, where the maximum value of the entropy is the communication path capacity, using the determined code length.

[0012] Furthermore, the communication control method according to the present invention may further include an instruction step in which an instruction is given to the core network to set the communication speed determined in the second calculation step to each of the plurality of communication terminals.

[0013] Furthermore, in the communication control method according to the present invention, the determination step may determine the code length using Huffman coding.

[0014] Furthermore, the communication control method according to the present invention may further include an acquisition step of acquiring the communication history collected by the core network that controls the communication of the plurality of communication terminals. [Effects of the Invention]

[0015] According to the present invention, the code length is determined according to the communication occurrence probability of each of the multiple communication terminals, and the communication speed of each of the multiple communication terminals on a communication path where the maximum entropy value is the communication path capacity is determined using the determined code length. Therefore, the traffic of the entire network can be optimized.

Brief Description of Drawings

[0016] [Figure 1] FIG. 1 is a block diagram showing the configuration of a communication control system including a communication control device according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram for explaining the outline of a communication control system including a communication control device according to the present embodiment. [Figure 3] FIG. 3 is a block diagram showing the hardware configuration of a communication control device according to the present embodiment. [Figure 4] FIG. 4 is a sequence diagram showing the outline of the operation of a communication control system according to the present embodiment. [Figure 5] FIG. 5 is a diagram for explaining a communication control system according to a conventional example.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to FIGS. 1 to 5.

[0018] [Configuration of Communication Control System] First, an overview of a communication control system including a communication control device 1 according to an embodiment of the present invention will be described with reference to FIG. 1.

[0019] The communication control system according to the present embodiment includes a communication control device 1, a communication terminal 2, a base station 3, a core network 4, and a data network (DN) 5. As an example, the communication control system is provided in a 5G mobile communication network, but may also be a network using a fixed line. As shown in FIG. 1, the communication control device 1 is connected to the core network 4 via a network NW such as a LAN, WAN, or the Internet.

[0020] Communication terminal 2 can be implemented as a mobile communication terminal such as a smartphone, a tablet computer, a laptop computer, a wearable device, or an industrial robot. Communication terminal 2 is equipped with a SIM card, and the SIM's contract profile contains identifier information such as the subscriber identification number (IMSI: International Mobile Subscriber Identity). Communication terminal 2 is uniquely identified by its IMSI.

[0021] The communication terminal 2 is also configured as an IoT device to which a terminal IP address is assigned that uniquely identifies the terminal. The IP address is assigned to the communication terminal 2 via the SMF42 after the session is established. In this embodiment, there are N communication terminals 2 (where N is a positive integer of 2 or more). Each communication terminal 2 connects to the data network 5 from the UPF44 via the base station 3 in which it is located.

[0022] Base station 3 is a wireless base station compatible with the 5G system and relays communication between communication terminals 2 located within the communication area and the core network 4. Base station 3 is connected to the core network 4 via a network such as a backhaul link. Base station 3 relays data from communication terminals 2 using scheduling within the range of communication speed instructed by the communication control device 1.

[0023] Core network 4 includes the following nodes within the C-plane: AMF (Access and Mobility Management Function) 40, UDM (Unified Data Management) / UDR (Unified Data Repository) 41, SMF (Session Management Function) 42, and PCF (Policy Control Function) 43. Core network 4 also includes the UPF (User Plane Function) 44 within the U-plane. Functional nodes within the U-plane and C-plane that are included in core network 4 are not shown in the diagram.

[0024] The AMF40 is an access and movement management device that manages the registration and wireless connection of communication terminals 2 that have moved to each communication area. The AMF40 applies the communication speed instructed by the communication control device 1 to the communication terminals 2.

[0025] The UDM / UDR41 manages subscriber profiles, performs authentication, and manages mobility. The UDM / UDR41 is equipped with a communication interface 41a for communicating with the communication control device 1. The UDM / UDR41 forwards instructions from the communication control device 1 to the PCF43 for setting the communication speeds of multiple IMSIs to be controlled. In this embodiment, the UDM / UDR41 is shown as an example where the UDM and UDR are configured as a single device, but the UDM / UDR41 may also be a device in which the UDM and UDR are arranged separately.

[0026] SMF42 is a session management function that establishes, modifies, and releases PDU (Packet Data Unit) sessions between communication terminal 2 and data networks such as the Internet. Based on the PCC (Policy and Charging Control) policy from PCF43, SMF42 sets an appropriate communication path for data communication between communication terminal 2 and UPF44 and instructs the settings of QoS, including traffic processing and communication speed, for the relevant PDU session.

[0027] PCF43 determines QoS and policies, including communication speed, and provides them to SMF42. PCF43 applies PCC rules according to the 3GPP (registered trademark) specification and, in response to instructions from communication control device 1, creates a PCC policy that includes setting the communication path of UPF44 through which communication terminal 2 communicates, and setting the communication speed as instructed by communication control device 1. PCF43 provides the created PCC policy to SMF42.

[0028] UPF44 is a user plane function that processes packets between base station 3 and data network 5, such as the internet. UPF44 functions as a gateway between core network 4 and external data network 5. UPF44 performs QoS processing on transmitted packets, such as traffic prioritization, bandwidth limiting, and shaping, based on PCC rules. As a result, the communication speed in each communication terminal 2's PDU session is controlled by PCC rules defined in PCF43 based on instructions from communication control device 1. UPF44 is equipped with a communication interface 44a for communicating with communication control device 1.

[0029] Data network 5 consists of external networks such as the internet.

[0030] [Functional blocks of the communication control device] As shown in Figure 1, the communication control device 1 comprises an acquisition unit 10, a first calculation unit 11, a determination unit 12, a second calculation unit 13, an instruction unit 14, and a storage unit 15.

[0031] The acquisition unit 10 acquires communication history collected by the core network 4 that controls the communication of multiple communication terminals 2. The acquisition unit 10 acquires the communication history of all communication terminals 2 whose traffic processing is performed on UPF44. The acquisition unit 10 can acquire communication history for an arbitrarily set period, such as one month. The communication history is a communication log that records communication events such as the sending and receiving of packets for each IMSI, and in particular, it is a communication log that records whether or not packets were sent or received.

[0032] The first calculation unit 11 calculates the entropy, which is the expected value of the amount of information obtained when communication occurs by each of the multiple communication terminals 2, from the communication occurrence probability of each of the multiple communication terminals 2 calculated based on the communication history of the multiple communication terminals 2. The first calculation unit 11 calculates the probability that communication occurred for each IMSI from the communication history for each IMSI for one month obtained by the acquisition unit 10. For example, if a communication history showing the number of communications performed by N=100 communication terminals 2 for one month has been collected, then it is assumed that communication terminal 2 of IMSI_1 performed 10 communications per month. In this case, the communication occurrence probability for IMSI_1 is calculated to be 10 / 100 = 0.1. The first calculation unit 11 similarly calculates the communication occurrence probability for the other communication terminals 2.

[0033] The first calculation unit 11 calculates the sum of the communication occurrence probabilities for each of the 100 devices and normalizes the sum so that it equals 1. For example, if the sum of the communication occurrence probabilities for the 100 communication terminals 2 is 2.5, then the value of the communication occurrence probability for each communication terminal 2 is divided by 2.5. In this case, the communication occurrence probability for IMSI_1 is 0.1 / 2.5 = 0.04.

[0034] The first calculation unit 11 calculates the entropy H(S), which is the average information amount of the expected value of the information amount for all events, based on Shannon's source coding theorem, using the following equation (1) from the probability of each event occurring.

number

[0035] In equation (1) above, ρ i ρ represents the probability of communication occurring at each communication terminal 2, and M represents the total number of communication terminals 2. Furthermore, an event (communication event) is whether or not communication occurs at each communication terminal 2, and the first calculation unit 11 calculates the communication occurrence probability ρ. i Based on this, the self-information of each event is lnρ i We calculate the self-information lnρ of these values. i The entropy H(S) is calculated by taking the probability-weighted average of the values.

[0036] The determination unit 12 is configured to determine the code length according to the communication occurrence probability of each of the multiple communication terminals 2. The determination unit 12 determines the code length such that the average code length according to the communication occurrence probability of the multiple communication terminals 2 is the lower limit of the entropy. Here, the average code length L bar, which is the probability-weighted average of the code lengths assigned to each event, is expressed by the following equation (2).

number

[0037] In equation (2) above, lρ i This represents the code length for each communication terminal 2 with respect to the communication occurrence probability. Furthermore, the average code length L bar in equation (2) above has a relationship with the entropy H(S) in equation (1) above, expressed by the following equation (3), according to Shannon's source coding theorem.

number

[0038] In equation (3) above, e is any e > 0. Equation (3) above shows that an event, which is a symbol of the information source, can be encoded with an average code length L bars that is very close to the entropy H(S). The decision unit 12 is obtained by constructing a decision tree using instantaneous codes such as Huffman codes based on equations (2) and (3) above, and assigns an integer code length corresponding to the probability of its communication occurrence to each communication terminal 2 that represents each event. An instantaneous code is a code that allows the delimiter of symbols from the information source to be instantly determined when the encoded sequence of symbols from the information source is transmitted in a time series.

[0039] Figure 2 shows the process by which the determination unit 12 determines the code and code length of an event according to the communication occurrence probability of each communication terminal 2. In Figure 2, the communication occurrence probability ρ of the four communication terminals 2, IMSI_1 to IMSI_4. i This shows the case. First, the determination unit 12 determines i) the probability of communication occurrence ρ iSort the values of i in descending order. Next, ii) For a pair of events with a low communication occurrence probability, associate 0 and 1. In FIG. 2, 0 and 1 are associated with IMSI_3 and IMSI_4. Thereafter, the determination unit 12 determines iii) the sum of the probabilities for the pair of events of IMSI_3 and IMSI_4 (0.1 + 0.2 = 0.3), and again, the communication occurrence probability ρ

[0040] As shown in FIG. 2, for the events of the presence or absence of communication by each of IMSI_1 to IMSI_4, a code c of 101 for IMSI_1, 11 for IMSI_2, 100 for IMSI_3, and 0 for IMSI_4 is determined. Also, when the code c for each event is determined, the code length lρ i is determined to be 3 bits, 2 bits, 3 bits, and 1 bit, respectively. Thus, the deeper the event in the decision tree, the longer the code length.

[0041] The second calculation unit 13 uses the determined code length to obtain the communication speed of each of the plurality of communication terminals 2 on a communication path where the maximum value of entropy is the communication path capacity. The communication path capacity indicates the maximum amount of information that can be transmitted via a certain communication path and is defined as the maximum mutual information amount between the input and the output. In the case of a communication path without noise, since the output is the same as the input, the mutual information amount coincides with the entropy of the input. The communication path capacity C (bit / symbol) in digital communication without noise is represented by the following equation (4).

Equation

[0042] Generally, the communication speed R (bit / s (second)) is represented by the following equation (5).

Equation

[0043] Here, the code length lρ for each event of each communication terminal 2 determined by the determination unit 12 i Based on (bit / sign) and τ(s / sign) in equation (5) above, the second calculation unit 13 calculates the communication speed r(bit / s) to be set for each communication terminal 2 using the following equation (6).

number

[0044] The instruction unit 14 instructs the core network 4 to set the communication speed determined by the second calculation unit 13 for each of the multiple communication terminals 2. Specifically, the instruction unit 14 instructs the PFC 43 via the UDM / UDR 41 to create a PCC rule that sets the communication speed on an IMSI basis.

[0045] The memory unit 15 stores the communication speed to be set for each communication terminal 2, which is calculated by the second calculation unit 13.

[0046] [Hardware configuration of the communication control unit] Next, an example of a hardware configuration for realizing the communication control device 1 having the functions described above will be explained using Figure 3.

[0047] As shown in Figure 3, the communication control device 1 can be implemented, for example, by a computer equipped with a processor 102, main memory 103, communication interface 104, auxiliary storage 105, and input / output I / O 106 connected via a bus 101, and a program to control these hardware resources. The communication control device 1 can also include a display device 107 connected via the bus 101.

[0048] Processor 102 is implemented using CPUs, GPUs, FPGAs, ASICs, etc.

[0049] The main memory 103 contains pre-stored programs for the processor 102 to perform various controls and calculations. The processor 102 and the main memory 103 work together to realize the various functions of the communication control device 1, such as the acquisition unit 10, the first calculation unit 11, the determination unit 12, the second calculation unit 13, and the instruction unit 14 shown in Figure 1.

[0050] The communication interface 104 is an interface circuit for networking the communication control device 1 with various external electronic devices.

[0051] The auxiliary storage device 105 consists of a read / write storage medium and a drive device for reading and writing various information such as programs and data to the storage medium. The auxiliary storage device 105 can use semiconductor memory such as a hard disk or flash memory as the storage medium.

[0052] The auxiliary storage device 105 has a program storage area for storing the communication control program executed by the communication control device 1. The auxiliary storage device 105 enables the storage unit 15 described in Figure 1. The auxiliary storage device 105 also has an area for storing the IMSI of the communication terminal 2 to be controlled. Furthermore, it may have, for example, a backup area for backing up the aforementioned data and programs.

[0053] The I / O106 is an input / output device that accepts signals from external devices and outputs signals to external devices.

[0054] The display device 107 is composed of an organic EL display, a liquid crystal display, and the like.

[0055] [Operation of the g control device] Next, the operation of the communication control device 1 having the above-described configuration will be explained with reference to the sequence diagram in Figure 4.

[0056] Figure 4 shows an overview of the operation sequence of a communication control system equipped with a communication control device 1. First, the UPF 44 collects the communication history of multiple communication terminals 2 to be controlled (step S100). Next, the acquisition unit 10 of the communication control device 1 acquires the communication history collected in step S100 from the UPF 44 via the network NW (step S101). The acquisition unit 10 can acquire the communication history of each communication terminal 2 from the UPF 44 for a predetermined period, for example, one month.

[0057] Next, the first calculation unit 11 uses equation (1) above to determine the entropy H(S), which is the average information amount of the expected value of the information amount for all events of the multiple communication terminals 2, from the communication occurrence probability, which is the probability of occurrence of events related to whether or not communication occurs by each communication terminal 2 (step S102).

[0058] Next, the decision unit 12 determines the code length corresponding to the communication occurrence probability of each of the multiple communication terminals 2 (step S103). Based on equations (2) and (3) above, the decision unit 12 constructs a decision tree using instantaneous codes such as Huffman codes to determine the code and code length for each event. Subsequently, the second calculation unit 13 uses the code length of each event determined in step S103 to determine the communication speed of each of the multiple communication terminals 2 on a communication channel where the maximum entropy value is the channel capacity (step S104).

[0059] In step S103, the second calculation unit 13 determines τ from equation (5) based on the channel capacity C and communication speed R in equation (4), and then substitutes the code length for each event of each communication terminal 2 determined by the determination unit 12, and τ, into equation (6) to calculate the communication speed r to be set for each communication terminal 2. The calculated communication speed for each IMSI, which is each communication terminal 2, is stored in the storage unit 15.

[0060] Subsequently, the communication terminal 2 sends a session establishment request to the AMF 40, and the AMF 40 further sends the request to the SMF 42 (step S105). In step S105, the session establishment request is notified to the communication control device 1 via the UDM / UDR 41. Next, the instruction unit 14 instructs the core network 4 to set the communication speed determined in step S104 for each communication terminal 2 corresponding to each event (step S106). More specifically, the instruction unit 14 specifies the IMSI and the IP address of the communication control device 1 and requests the PCF 43 to create a PCC policy that sets the communication speed determined in step S104.

[0061] Next, PCF43 creates a PCC policy based on the specified requirements (step S107). The PCC policy specifies the maximum communication speed to be set for each communication terminal 2. PCF43 can specify parameters such as the maximum communication speed, guaranteed bitrate, and QoS flow as the PCC policy to be applied to each communication terminal 2.

[0062] Next, PCF43 sends the created PCC policy to SMF42 (step S108). Then, SMF42 notifies AMF40 of the communication speed requirements based on the received PCC policy, and AMF40 instructs base station 3 to set the specified communication speed for communication terminal 2 (step S109). Meanwhile, SMF42 instructs UPF44 to configure QoS settings, including traffic processing and communication speed, for the relevant PDU session based on the PCC policy received in step S108 (step S110).

[0063] In step S110, the communication speed setting information specified in the PCC policy, and the data communication path setting information related to user plane functions such as communication path settings are transmitted. Next, UPF44 registers the received setting information, including the communication speed, into memory (step S111). Subsequently, UPF44 sends an ACK to SMF42, notifying it of UPF44's IP address and the specified communication speed (step S112).

[0064] Furthermore, SMF42 sends an ACK to the communication control device 1 to notify it of the IP address and communication speed of UPF44 (step S113). Subsequently, the communication control device 1 notifies UDM / UDR41 of the IP address and communication speed of UPF44 and sends an ACK to the communication terminal 2 (step S114). After that, a data communication path is established between the communication terminal 2, UPF44, and the data network 5, and the communication terminal 2 performs data communication at the set communication speed (step S115). The processes from steps S105 to S115 are also performed for other communication terminals 2.

[0065] As described above, the communication control device 1 according to this embodiment determines the code length according to the communication occurrence probability of each of the multiple communication terminals 2, and uses the determined code length to determine the communication speed of each of the multiple communication terminals on a communication path where the maximum entropy value is the communication path capacity. Therefore, efficient coding can be achieved while taking into account the occurrence probability of communication events of the multiple communication terminals 2, and the traffic of the entire network can be optimized.

[0066] In the embodiment described, the communication control system was described as a system compliant with the 5G standard, but the communication standard may be 3G, 4G / LTE, 6G, etc.

[0067] Furthermore, in the embodiment described, the case in which the determination unit 12 determines the code length using Huffman coding was explained. However, other coding methods such as Shannon-Fano coding or arithmetic coding can be used as methods for determining the code length.

[0068] Although embodiments of the communication control device and communication control method of the present invention have been described above, the present invention is not limited to the embodiments described above, and various modifications that a person skilled in the art can envision are possible within the scope of the invention described in the claims. [Explanation of symbols]

[0069] 1...Communication control unit, 10...Acquisition unit, 11...First calculation unit, 12...Determination unit, 13...Second calculation unit, 14...Instruction unit, 15...Storage unit, 2...Communication terminal, 3...Base station, 4...Core network, 5...Data network, 101...Bus, 102...Processor, 103...Main memory, 104...Communication interface, 105...Auxiliary memory, 106...Input / output I / O, 107...Display device, NW...Network.

Claims

1. A first calculation unit is configured to determine the entropy, which is the expected value of the amount of information obtained when communication occurs by each of the multiple communication terminals, from the probability of communication occurring for each of the multiple communication terminals calculated based on the communication history of the multiple communication terminals, A determination unit configured to determine the code length of a code corresponding to the communication occurrence probability of each of the plurality of communication terminals, wherein the average code length of the code lengths corresponding to the communication occurrence probability of the plurality of communication terminals is set to the lower limit of the entropy, A second calculation unit is configured to determine the communication speed of each of the plurality of communication terminals on a communication path where the maximum value of the entropy is the communication path capacity, using the determined code length. A communication control device equipped with the following features.

2. In the communication control device described in claim 1, Furthermore, the system includes an instruction unit configured to issue an instruction to the core network to set the communication speed determined by the second calculation unit for each of the plurality of communication terminals. A communication control device characterized by the following:

3. In the communication control device described in claim 1, The determination unit determines the code length using Huffman coding. A communication control device characterized by the following:

4. In the communication control device according to claim 1, Furthermore, the system includes an acquisition unit configured to acquire the communication history collected by the core network that controls the communication of the plurality of communication terminals. A communication control device characterized by the following:

5. A first calculation step involves determining the entropy, which is the expected value of the amount of information obtained when communication occurs by each of the multiple communication terminals, from the communication occurrence probability of each of the multiple communication terminals calculated based on the communication history of the multiple communication terminals, A determination step for determining the code length of a code corresponding to the communication occurrence probability of each of the plurality of communication terminals, wherein the average code length of the code lengths corresponding to the communication occurrence probability of the plurality of communication terminals is set as the lower limit of the entropy, A second calculation step involves using the determined code length to determine the communication speed of each of the plurality of communication terminals on a communication channel whose communication channel capacity is the maximum value of the entropy. A communication control method comprising the following:

6. In the communication control method described in claim 5, Furthermore, the system includes an instruction step in which an instruction is given to the core network to set the communication speed determined in the second calculation step for each of the plurality of communication terminals. A communication control method characterized by the following:

7. In the communication control method described in claim 5, The aforementioned decision step determines the code length using Huffman coding. A communication control method characterized by the following:

8. In the communication control method described in claim 5, Furthermore, the system includes an acquisition step to acquire the communication history collected by the core network that controls the communication of the plurality of communication terminals. A communication control method characterized by the following:

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