WO2025041225A1 - Communication system - Google Patents

Communication system Download PDF

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Publication number
WO2025041225A1
WO2025041225A1 PCT/JP2023/030001 JP2023030001W WO2025041225A1 WO 2025041225 A1 WO2025041225 A1 WO 2025041225A1 JP 2023030001 W JP2023030001 W JP 2023030001W WO 2025041225 A1 WO2025041225 A1 WO 2025041225A1
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WIPO (PCT)
Prior art keywords
representative
ues
processor
communication system
power supply
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PCT/JP2023/030001
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French (fr)
Japanese (ja)
Inventor
真也 牧野
直文 岩山
哲史 松田
暢彦 安藤
史樹 長谷川
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to PCT/JP2023/030001 priority Critical patent/WO2025041225A1/en
Priority to JP2024510256A priority patent/JPWO2025041225A1/ja
Publication of WO2025041225A1 publication Critical patent/WO2025041225A1/en
Anticipated expiration legal-status Critical
Pending legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10—Small scale networks; Flat hierarchical networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
    • H04W84/20—Leader-follower arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices
    • H04W88/04—Terminal devices adapted for relaying to or from another terminal or user

Definitions

  • This disclosure relates to a communication system.
  • the 5th Generation Mobile Communication System is known.
  • 5G when a terminal used by a user (UE: User Equipment) communicates via a network, a PDU session is established, QoS (QFI: QoS Flow Identifier) is set according to the contents of the traffic, and the slice type (NSSAI: Network Slice Selection Identifier) is set.
  • QoS QoS Flow Identifier
  • NSSAI Network Slice Selection Identifier
  • each of the multiple UEs used by the user connects to the network individually.
  • the network load increases.
  • the purpose of this disclosure is to reduce network load.
  • a communication system includes a plurality of terminals used by users.
  • a representative terminal is determined from among the plurality of terminals.
  • the representative terminal performs 5G or beyond 5G communication as a representative of the plurality of terminals.
  • This disclosure makes it possible to reduce network load.
  • FIG. 1 is a diagram showing a communication system according to a first embodiment.
  • 1 is a flowchart (part 1) illustrating an example of a process for determining representative UE candidates in the first embodiment.
  • 11 is a flowchart (part 2) illustrating an example of a process for determining representative UE candidates according to the first embodiment.
  • 1 is a flowchart (part 1) illustrating an example of a process for determining a representative UE in the first embodiment.
  • 11 is a flowchart (part 2) illustrating an example of a process for determining a representative UE in the first embodiment.
  • UE100a, 100b, 100c, and 100d are terminals used by a single user.
  • UE100a, 100b, 100c, and 100d are goggle-type devices, glove-type devices, and the like.
  • a user can receive services in the metaverse using UE100a, 100b, 100c, and 100d.
  • the communication system may include a base station 10, a 5G core network 20, and an application server 30.
  • the 5G core network 20 includes a 5G user plane.
  • a representative UE is determined from among UEs 100a, 100b, 100c, and 100d.
  • FIG. 1 shows, as an example, that UE 100d is the representative UE.
  • the representative UE performs 5G communication as a representative of multiple UEs.
  • the representative UE communicates with the application server 30 via the base station 10 and the 5G core network 20. In this way, the representative UE communicates as a representative of multiple UEs, thereby reducing the network load.
  • the UE 100 includes a processor 101, a volatile storage device 102, and a non-volatile storage device 103.
  • the processor 101 controls the entire UE 100.
  • the processor 101 is a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), etc.
  • the processor 101 may be a multi-processor.
  • the UE 100 may also have a processing circuit.
  • the volatile storage device 102 is a main storage device of the UE 100.
  • the volatile storage device 102 is a random access memory (RAM).
  • the non-volatile storage device 103 is an auxiliary storage device of the UE 100.
  • the non-volatile storage device 103 is a solid state drive (SSD).
  • the UE 100 may have a battery.
  • the UE 100 includes a storage unit 110, a communication unit 120, an acquisition unit 130, a determination unit 140, a determination unit 150, and a calculation unit 160.
  • the memory unit 110 may be realized as a memory area reserved in the volatile memory device 102 or the non-volatile memory device 103.
  • the communication unit 120, the acquisition unit 130, the judgment unit 140, the determination unit 150, and the calculation unit 160 may be partly or entirely realized by a processing circuit.
  • the communication unit 120, the acquisition unit 130, the judgment unit 140, the determination unit 150, and the calculation unit 160 may be partly or entirely realized as a program module executed by the processor 101.
  • the storage unit 110 stores various information. The functions of the communication unit 120, the acquisition unit 130, the determination unit 140, the decision unit 150, and the calculation unit 160 will be described in detail later.
  • FIG. 4 is a diagram showing a flow of processes executed by a plurality of UEs in the first embodiment.
  • the UEs 100a, 100b, 100c, and 100d execute local communication processing.
  • the UEs 100a, 100b, 100c, and 100d perform a Peer to Peer (P2P) connection by a side link.
  • P2P Peer to Peer
  • the communication units of UEs 100a, 100b, 100c, and 100d transmit and receive power supply information and processor information to and from each other.
  • the power supply information is information indicating the power supply method. Specifically, the power supply information indicates external power supply or battery power supply. When the power supply information indicates battery power supply, the communication units of UEs 100a, 100b, 100c, and 100d receive battery remaining amount information indicating the remaining battery amount.
  • the processor information is information related to the processor. For example, the processor information is the CPU operating frequency, the number of cores, the CPU usage rate, etc.
  • Step ST102 The UEs 100a, 100b, 100c, and 100d execute a process of determining representative UE candidates.
  • Step ST103 The UEs 100a, 100b, 100c, and 100d execute a process of determining a representative UE.
  • FIG. 5 is a flowchart (part 1) illustrating an example of a process for determining representative UE candidates according to the first embodiment.
  • the acquisition unit 130 acquires its own power supply information and its own processor information.
  • the acquisition unit 130 acquires the power supply information and the processor information from the storage unit 110.
  • the acquisition unit 130 acquires the power supply information and the processor information from an external device.
  • the external device is a device that exists outside the UE 100.
  • the external device is a cloud server.
  • the external device is omitted in the diagram.
  • Step S12 The determination unit 140 determines whether or not its own power supply method is external power supply based on its own power supply information. If the power supply method is external power supply, the process proceeds to step S13. If the power supply method is battery power supply, the process proceeds to step S21.
  • step ST101 power supply information transmitted by other UEs is received. Therefore, the determination unit 140 can identify UEs that are operating with external power supply based on the power supply information received from other UEs.
  • the determination unit 140 determines whether or not there is a UE having a CPU with a higher CPU operating frequency than the UE's own CPU operating frequency. Also, for example, the determination unit 140 determines whether or not there is a UE having a greater number of cores than the UE's own number of cores.
  • step S15 If there is no UE with a processing capability higher than the processing capability of the own processor, the process proceeds to step S15. If there is a UE with a processing capability higher than the processing capability of the own processor, the process proceeds to step S27.
  • Step S15 The determination unit 150 determines its own UE as a representative UE candidate.
  • Step S16 The calculation unit 160 calculates a random number.
  • Step S17 The communication unit 120 transmits information indicating that the UE is a representative UE candidate (hereinafter, representative UE candidate information) and a random number to the other UEs.
  • Step S22 The determination unit 140 determines whether the remaining battery charge is equal to or greater than a predetermined threshold based on the remaining battery charge information. If the remaining battery charge is equal to or greater than the threshold, the process proceeds to step S23. If the remaining battery charge is less than the threshold, the process proceeds to step S27.
  • Step S23 The determining unit 140 determines whether or not its own processor has sufficient processing power based on its own processor information. For example, the determining unit 140 determines that its own processor has sufficient processing power when the CPU operating frequency is equal to or greater than a predetermined threshold. Also, for example, the determining unit 140 determines that its own processor has sufficient processing power when the number of cores is equal to or greater than a predetermined threshold. If the own processor has sufficient processing power, the process proceeds to step S24. If the own processor does not have sufficient processing power, the process proceeds to step S27.
  • Step S24 The determination unit 140 determines whether or not there is a UE that has the same processing capacity as the processing capacity of its own processor, based on the processor information received from the UE operating on external power supply. If the condition is met, the process proceeds to step S27. If the condition is not met, the process proceeds to step S25.
  • Step S25 The determination unit 140 determines whether or not a UE with a processing capability higher than the processing capability of its own processor exists based on the processor information received from the UE operating on external power supply. If a UE with a processing capability higher than the processing capability of its own processor does not exist, the process proceeds to step S26. If a UE with a processing capability higher than the processing capability of its own processor exists, the process proceeds to step S27.
  • Step S27 The decision unit 150 decides that its own UE will not become the representative UE.
  • the representative UE candidate information and the random number are received. For example, if UE100a and 100b are determined as the representative UE candidates, UE100a receives the representative UE candidate information and the random number from UE100b. Also, UE100b receives the representative UE candidate information and the random number from UE100a.
  • each of the multiple UEs determines whether or not it is a representative UE candidate based on the power supply method and the processing capacity of its processor. Also, when the power supply method is battery power supply, each of the multiple UEs determines whether or not it is a representative UE candidate based on the remaining battery capacity and the processing capacity of its processor.
  • FIG. 7 is a flowchart (part 1) illustrating an example of a process for determining a representative UE according to the first embodiment.
  • the determination unit 140 determines whether or not the UE itself is a representative UE candidate. If the UE itself is a representative UE candidate, the process proceeds to step S32. If the UE itself is not a representative UE candidate, the process proceeds to step S34.
  • Step S32 The determination unit 140 determines whether or not there is another representative UE candidate. Specifically, when representative UE candidate information is received, the determination unit 140 determines that there is another representative UE candidate. If there is another representative UE candidate, the process proceeds to step S41. If there is no another representative UE candidate, the process proceeds to step S33.
  • Step S33 The determination unit 150 determines its own UE as the representative UE.
  • Step S34 The determination unit 150 determines that its own UE will not become the representative UE.
  • FIG. 8 is a flowchart (part 2) illustrating an example of the representative UE determination process according to the first embodiment.
  • Step S41 When step S41 is executed after step S32, the determination unit 140 determines whether the random number transmitted in step S17 is greater than the random number received from another UE.
  • step S41 When step S41 is executed after step S45, the determination unit 140 determines whether the random number calculated in step S43 is greater than the random number received in step S45. If the condition is met, the process proceeds to step S33, otherwise the process proceeds to step S42.
  • Step S42 When step S41 is executed after step S32, the determination unit 140 determines whether the random number transmitted in step S17 is the same as the random number received from another UE. When step S41 is executed after step S45, the determination unit 140 determines whether the random number calculated in step S43 is the same as the random number received in step S45. If the condition is met, the process proceeds to step S43, otherwise the process proceeds to step S34.
  • Step S43 The calculation unit 160 calculates a new random number.
  • Step S44 The communication unit 120 transmits a new random number to the UEs among the representative UE candidates that transmitted the same random number value. Here, the UE receives a new random number. When the UE receives the new random number, the UE calculates a new random number. Then, the UE transmits the calculated random number.
  • Step S45 The communication unit 120 receives a random number from the UE. Then, the process proceeds to step S41.
  • the representative UE is determined in the communication system. In this manner, the representative UE is determined from among the representative UE candidates. When there are multiple representative UE candidates, the representative UE is determined using a random number.
  • FIG. 9 is a sequence diagram showing an example of processing performed by the representative UE in the first embodiment.
  • the UE 100d collects the IP addresses and traffic types of the UEs 100a, 100b, and 100c.
  • the UE 100d configures QoS and NSSAI.
  • the UE 100d establishes a connection with the application server 30.
  • the UE 100d executes a network address transformation (NAT) process. In the NAT process, traffic integration and traffic allocation are performed.
  • NAT network address transformation
  • a representative UE is determined from among multiple UEs.
  • the representative UE then performs communication as a representative of the multiple UEs.
  • the communication system can reduce the network load.
  • steps S13 and S23 it is determined whether the processor itself has sufficient processing power.
  • the determination unit 140 may determine whether the CPU usage rate of the processor itself is equal to or lower than a predetermined threshold value.
  • Embodiment 2 Next, a description will be given of embodiment 2. In embodiment 2, differences from embodiment 1 will be mainly described. Furthermore, in embodiment 2, description of matters common to embodiment 1 will be omitted.
  • a case where a representative UE is determined from among multiple UEs owned by one user is described.
  • a case where a representative UE is determined from among multiple UEs owned by multiple users is described.
  • the communication system includes UEs 100a to 100f.
  • the UEs 100a to 100d belong to a user U1, and the UEs 100e and 100f belong to a user U2.
  • the users U1 and U2 are in the same room.
  • FIG. 11 is a diagram showing a flow of processes executed by a plurality of UEs in the second embodiment.
  • the UEs 100a to 100f each execute a local communication process.
  • the communication units of the UEs 100a to 100f transmit and receive power supply information and processor information to and from each other.
  • the power supply information indicates battery power supply
  • the communication units of the UEs 100a to 100f receive battery remaining amount information.
  • Step ST122 The UEs 100a to 100f execute a process of determining representative UE candidates.
  • the process of determining representative UE candidates is the same as that in step ST102, and therefore will not be described.
  • Step ST123 The UEs 100a to 100f execute a process of determining a representative UE.
  • the process of determining a representative UE is the same as that in step ST103, and therefore will not be described.
  • the representative UE is determined in the communication system.
  • the representative UE is assumed to be the UE 100d.
  • FIG. 12 is a sequence diagram illustrating an example of processing performed by a representative UE in the second embodiment.
  • the UE 100d collects the IP addresses and traffic types of the UEs 100a to 100c, 100e, and 100f.
  • the UE 100d configures QoS and NSSAI.
  • the UE 100d establishes a connection with the application server 30.
  • the UE 100d executes the NAT process.
  • a representative UE is determined from among multiple UEs owned by multiple users.
  • the representative UE then performs communication as a representative of the multiple UEs.
  • the communication system can reduce the network load.
  • FIG. 13 is a sequence diagram showing an example in which a UE according to the second embodiment is added. Note that the base station 10 is omitted. It is assumed that the UE 100d is determined to be the representative UE from among the UEs 100a to 100d, and that the UEs 100e and 100f are added.
  • Step ST141 The UE 100d establishes connections with the UEs 100e and 100f. This enables local communication between the UE 100d and the UEs 100e and 100f.
  • Step ST142 The UE 100d collects the IP addresses and the traffic types of the UEs 100e and 100f.
  • Step ST143 The UE 100d configures the QoS and the NSSAI for the UEs 100e and 100f.
  • Step ST144 The UE 100d executes the NAT process.
  • the above describes the case where UEs 100e and 100f owned by user U2 are added.
  • the above content can be applied when a UE owned by user U2 is added. In other words, the above content can be applied when a different user adds a UE.
  • the representative UE performs 5G communication as a representative of multiple UEs including multiple UEs (e.g., UEs 100a to 100c) and the new UE (e.g., UEs 100e and 100f). Because the new UE does not establish a connection individually, the network load is reduced.
  • Base station 20 5G core network, 30 Application server, 100, 100a to 100f UE, 101 Processor, 102 Volatile storage device, 103 Non-volatile storage device, 110 Storage unit, 120 Communication unit, 130 Acquisition unit, 140 Determination unit, 150 Decision unit, 160 Calculation unit.

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Abstract

This communication system includes UEs 100a-100d that are used by users. A representative UE is determined from among the UEs 100a-100d. The representative UE performs 5G communication or Beyond 5G communication as a representative of the UEs 100a-100d.

Description

通信システムCommunication Systems

　本開示は、通信システムに関する。 This disclosure relates to a communication system.

　第５世代移動通信システム（５Ｇ：５ｔｈ　Ｇｅｎｅｒａｔｉｏｎ　Ｍｏｂｉｌｅ　Ｃｏｍｍｕｎｉｃａｔｉｏｎ　Ｓｙｓｔｅｍ）が知られている。５Ｇでは、ユーザが使用する端末（ＵＥ：Ｕｓｅｒ　Ｅｑｕｉｐｍｅｎｔ）がネットワークを介して通信を行う場合、ＰＤＵセッションの確立、トラフィックの内容に応じたＱｏＳ（ＱＦＩ：ＱｏＳ　Ｆｌｏｗ　Ｉｄｅｎｔｉｆｉｅｒ）の設定、スライス種別（ＮＳＳＡＩ：Ｎｅｔｗｏｒｋ　Ｓｌｉｃｅ　Ｓｅｌｅｃｔｉｏｎ　Ｉｄｅｎｔｉｆｉｅｒ）の設定が行われる。例えば、これらの内容は、非特許文献１、２に記載されている。 The 5th Generation Mobile Communication System (5G) is known. In 5G, when a terminal used by a user (UE: User Equipment) communicates via a network, a PDU session is established, QoS (QFI: QoS Flow Identifier) is set according to the contents of the traffic, and the slice type (NSSAI: Network Slice Selection Identifier) is set. For example, these contents are described in Non-Patent Documents 1 and 2.

３ＧＰＰ　ＴＳ　２３．５０１　Ｖ１８．０．０、２０２２年3GPP TS 23.501 V18.0.0, 2022 ３ＧＰＰ　ＴＳ　２３．５０２　Ｖ１８．０．０、２０２２年3GPP TS 23.502 V18.0.0, 2022

　ところで、ユーザがメタバースのようなサービスを受ける場合、ユーザが使用する複数のＵＥのそれぞれが、個別にネットワークに接続する。しかし、複数のＵＥのそれぞれが個別にネットワークに接続した場合、ネットワーク負荷が大きくなる。 When a user uses a service such as the metaverse, each of the multiple UEs used by the user connects to the network individually. However, when multiple UEs each connect to the network individually, the network load increases.

　本開示の目的は、ネットワーク負荷を軽減することである。 The purpose of this disclosure is to reduce network load.

　本開示の一態様に係る通信システムが提供される。通信システムは、ユーザが使用する複数の端末を含む。代表端末が、前記複数の端末の中から決定される。前記代表端末は、前記複数の端末の代表として、５Ｇ又はｂｅｙｏｎｄ　５Ｇの通信を行う。 A communication system according to one aspect of the present disclosure is provided. The communication system includes a plurality of terminals used by users. A representative terminal is determined from among the plurality of terminals. The representative terminal performs 5G or beyond 5G communication as a representative of the plurality of terminals.

　本開示によれば、ネットワーク負荷を軽減することができる。 This disclosure makes it possible to reduce network load.

実施の形態１の通信システムを示す図である。FIG. 1 is a diagram showing a communication system according to a first embodiment. 実施の形態１のＵＥが有するハードウェアを示す図である。A diagram showing hardware possessed by a UE of embodiment 1. 実施の形態１のＵＥの機能を示すブロック図である。A block diagram showing the functions of a UE of embodiment 1. 実施の形態１の複数のＵＥが実行する処理の流れを示す図である。A diagram showing a flow of processing performed by multiple UEs in embodiment 1. 実施の形態１の代表ＵＥ候補の決定処理の例を示すフローチャート（その１）である。1 is a flowchart (part 1) illustrating an example of a process for determining representative UE candidates in the first embodiment. 実施の形態１の代表ＵＥ候補の決定処理の例を示すフローチャート（その２）である。11 is a flowchart (part 2) illustrating an example of a process for determining representative UE candidates according to the first embodiment. 実施の形態１の代表ＵＥの決定処理の例を示すフローチャート（その１）である。1 is a flowchart (part 1) illustrating an example of a process for determining a representative UE in the first embodiment. 実施の形態１の代表ＵＥの決定処理の例を示すフローチャート（その２）である。11 is a flowchart (part 2) illustrating an example of a process for determining a representative UE in the first embodiment. 実施の形態１の代表ＵＥが行う処理の例を示すシーケンス図である。A sequence diagram showing an example of processing performed by a representative UE in embodiment 1. 実施の形態２の通信システムを示す図である。FIG. 11 is a diagram showing a communication system according to a second embodiment. 実施の形態２の複数のＵＥが実行する処理の流れを示す図である。A diagram showing the flow of processing performed by multiple UEs in embodiment 2. 実施の形態２の代表ＵＥが行う処理の例を示すシーケンス図である。A sequence diagram showing an example of processing performed by a representative UE in embodiment 2. 実施の形態２のＵＥが追加された場合の例を示すシーケンス図である。A sequence diagram showing an example when a UE of embodiment 2 is added.

　以下、図面を参照しながら実施の形態を説明する。以下の実施の形態は、例にすぎず、本開示の範囲内で種々の変更が可能である。 Below, an embodiment will be described with reference to the drawings. The following embodiment is merely an example, and various modifications are possible within the scope of this disclosure.

実施の形態１．
　図１は、実施の形態１の通信システムを示す図である。通信システムでは、５Ｇ又はｂｅｙｏｎｄ　５Ｇの通信を行うことができる。例えば、ｂｅｙｏｎｄ　５Ｇは、６Ｇである。以下の説明では、通信システムでは、５Ｇの通信が行われるものとする。 Embodiment 1.
FIG. 1 is a diagram showing a communication system according to a first embodiment. In the communication system, 5G or beyond 5G communication can be performed. For example, beyond 5G is 6G. In the following description, it is assumed that 5G communication is performed in the communication system.

　通信システムは、複数のＵＥを含む。図１では、複数のＵＥは、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄである。図１は、４つのＵＥを示している。ＵＥの数は、４つに限らない。 The communication system includes multiple UEs. In FIG. 1, the multiple UEs are UEs 100a, 100b, 100c, and 100d. FIG. 1 shows four UEs. The number of UEs is not limited to four.

　ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、一人のユーザが使用する端末である。例えば、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、ゴーグル型のデバイス、グローブ型のデバイスなどである。例えば、ユーザは、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄを用いて、メタバースにおけるサービスを受けることができる。 UE100a, 100b, 100c, and 100d are terminals used by a single user. For example, UE100a, 100b, 100c, and 100d are goggle-type devices, glove-type devices, and the like. For example, a user can receive services in the metaverse using UE100a, 100b, 100c, and 100d.

　通信システムは、基地局１０、５Ｇコアネットワーク２０、及びアプリケーションサーバ３０を含んでもよい。なお、５Ｇコアネットワーク２０は、５Ｇユーザプレーンを含む。 The communication system may include a base station 10, a 5G core network 20, and an application server 30. The 5G core network 20 includes a 5G user plane.

　実施の形態１を簡単に説明する。実施の形態１では、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄの中から代表ＵＥが、決定される。図１は、例として、ＵＥ１００ｄが代表ＵＥであることを示している。そして、代表ＵＥは、複数のＵＥの代表として、５Ｇの通信を行う。詳細には、代表ＵＥは、基地局１０及び５Ｇコアネットワーク２０を介して、アプリケーションサーバ３０と通信する。このように、代表ＵＥが複数のＵＥの代表として通信を行うことで、ネットワーク負荷が軽減される。 A brief description of the first embodiment will be given. In the first embodiment, a representative UE is determined from among UEs 100a, 100b, 100c, and 100d. FIG. 1 shows, as an example, that UE 100d is the representative UE. The representative UE performs 5G communication as a representative of multiple UEs. In detail, the representative UE communicates with the application server 30 via the base station 10 and the 5G core network 20. In this way, the representative UE communicates as a representative of multiple UEs, thereby reducing the network load.

　以下、詳細に実施の形態１を説明する。また、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄの総称を、ＵＥ１００と呼ぶ。さらに、ＵＥは、端末とも言う。 The first embodiment will be described in detail below. UEs 100a, 100b, 100c, and 100d are collectively referred to as UE 100. UE is also referred to as a terminal.

　次に、ＵＥ１００が有するハードウェアを説明する。
　図２は、実施の形態１のＵＥが有するハードウェアを示す図である。ＵＥ１００は、プロセッサ１０１、揮発性記憶装置１０２、及び不揮発性記憶装置１０３を有する。 Next, the hardware that UE 100 has will be described.
2 is a diagram showing hardware included in the UE of embodiment 1. The UE 100 includes a processor 101, a volatile storage device 102, and a non-volatile storage device 103.

　プロセッサ１０１は、ＵＥ１００全体を制御する。例えば、プロセッサ１０１は、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、ＦＰＧＡ（Ｆｉｅｌｄ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）などである。プロセッサ１０１は、マルチプロセッサでもよい。また、ＵＥ１００は、処理回路を有してもよい。 The processor 101 controls the entire UE 100. For example, the processor 101 is a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), etc. The processor 101 may be a multi-processor. The UE 100 may also have a processing circuit.

　揮発性記憶装置１０２は、ＵＥ１００の主記憶装置である。例えば、揮発性記憶装置１０２は、ＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）である。不揮発性記憶装置１０３は、ＵＥ１００の補助記憶装置である。例えば、不揮発性記憶装置１０３は、ＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）である。
　また、ＵＥ１００は、バッテリを有する場合がある。 The volatile storage device 102 is a main storage device of the UE 100. For example, the volatile storage device 102 is a random access memory (RAM). The non-volatile storage device 103 is an auxiliary storage device of the UE 100. For example, the non-volatile storage device 103 is a solid state drive (SSD).
Furthermore, the UE 100 may have a battery.

　次に、ＵＥ１００が有する機能を説明する。
　図３は、実施の形態１のＵＥの機能を示すブロック図である。ＵＥ１００は、記憶部１１０、通信部１２０、取得部１３０、判定部１４０、決定部１５０、及び算出部１６０を有する。 Next, the functions of UE 100 will be described.
3 is a block diagram showing functions of the UE according to the embodiment 1. The UE 100 includes a storage unit 110, a communication unit 120, an acquisition unit 130, a determination unit 140, a determination unit 150, and a calculation unit 160.

　記憶部１１０は、揮発性記憶装置１０２又は不揮発性記憶装置１０３に確保した記憶領域として実現してもよい。 The memory unit 110 may be realized as a memory area reserved in the volatile memory device 102 or the non-volatile memory device 103.

　通信部１２０、取得部１３０、判定部１４０、決定部１５０、及び算出部１６０の一部又は全部は、処理回路によって実現してもよい。また、通信部１２０、取得部１３０、判定部１４０、決定部１５０、及び算出部１６０の一部又は全部は、プロセッサ１０１が実行するプログラムのモジュールとして実現してもよい。 The communication unit 120, the acquisition unit 130, the judgment unit 140, the determination unit 150, and the calculation unit 160 may be partly or entirely realized by a processing circuit. In addition, the communication unit 120, the acquisition unit 130, the judgment unit 140, the determination unit 150, and the calculation unit 160 may be partly or entirely realized as a program module executed by the processor 101.

　記憶部１１０は、様々な情報を記憶する。
　通信部１２０、取得部１３０、判定部１４０、決定部１５０、及び算出部１６０の機能は、後で詳細に説明する。 The storage unit 110 stores various information.
The functions of the communication unit 120, the acquisition unit 130, the determination unit 140, the decision unit 150, and the calculation unit 160 will be described in detail later.

　次に、複数のＵＥが実行する処理を簡単に説明する。
　図４は、実施の形態１の複数のＵＥが実行する処理の流れを示す図である。
　（ステップＳＴ１０１）ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、ローカル通信処理を実行する。詳細には、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、サイドリンクによるＰ２Ｐ（Ｐｅｅｒ　ｔｏ　Ｐｅｅｒ）接続を行う。 Next, the processing performed by multiple UEs will be briefly described.
FIG. 4 is a diagram showing a flow of processes executed by a plurality of UEs in the first embodiment.
(Step ST101) The UEs 100a, 100b, 100c, and 100d execute local communication processing. In detail, the UEs 100a, 100b, 100c, and 100d perform a Peer to Peer (P2P) connection by a side link.

　ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄの通信部は、互いに、給電情報及びプロセッサ情報を送受信する。給電情報は、給電方式を示す情報である。具体的には、給電情報は、外部給電又はバッテリ給電を示す。給電情報がバッテリ給電を示している場合、ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄの通信部は、バッテリ残量を示すバッテリ残量情報を受信する。プロセッサ情報は、プロセッサに関する情報である。例えば、プロセッサ情報は、ＣＰＵ動作周波数、コア数、ＣＰＵ使用率などである。 The communication units of UEs 100a, 100b, 100c, and 100d transmit and receive power supply information and processor information to and from each other. The power supply information is information indicating the power supply method. Specifically, the power supply information indicates external power supply or battery power supply. When the power supply information indicates battery power supply, the communication units of UEs 100a, 100b, 100c, and 100d receive battery remaining amount information indicating the remaining battery amount. The processor information is information related to the processor. For example, the processor information is the CPU operating frequency, the number of cores, the CPU usage rate, etc.

　（ステップＳＴ１０２）ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、代表ＵＥ候補の決定処理を実行する。
　（ステップＳＴ１０３）ＵＥ１００ａ，１００ｂ，１００ｃ，１００ｄは、代表ＵＥの決定処理を実行する。 (Step ST102) The UEs 100a, 100b, 100c, and 100d execute a process of determining representative UE candidates.
(Step ST103) The UEs 100a, 100b, 100c, and 100d execute a process of determining a representative UE.

　次に、代表ＵＥ候補の決定処理を、フローチャートを用いて説明する。
　図５は、実施の形態１の代表ＵＥ候補の決定処理の例を示すフローチャート（その１）である。
　（ステップＳ１１）取得部１３０は、自身の給電情報と自身のプロセッサ情報とを取得する。例えば、取得部１３０は、当該給電情報と当該プロセッサ情報とを記憶部１１０から取得する。また、例えば、取得部１３０は、当該給電情報と当該プロセッサ情報とを外部装置から取得する。なお、外部装置は、ＵＥ１００の外部に存在する装置である。例えば、外部装置は、クラウドサーバである。外部装置の図は、省略されている。 Next, the process of determining representative UE candidates will be described with reference to a flowchart.
FIG. 5 is a flowchart (part 1) illustrating an example of a process for determining representative UE candidates according to the first embodiment.
(Step S11) The acquisition unit 130 acquires its own power supply information and its own processor information. For example, the acquisition unit 130 acquires the power supply information and the processor information from the storage unit 110. Also, for example, the acquisition unit 130 acquires the power supply information and the processor information from an external device. Note that the external device is a device that exists outside the UE 100. For example, the external device is a cloud server. The external device is omitted in the diagram.

　（ステップＳ１２）判定部１４０は、自身の給電情報に基づいて、自身の給電方式が外部給電であるか否かを判定する。給電方式が外部給電である場合、処理は、ステップＳ１３に進む。給電方式がバッテリ給電である場合、処理は、ステップＳ２１に進む。 (Step S12) The determination unit 140 determines whether or not its own power supply method is external power supply based on its own power supply information. If the power supply method is external power supply, the process proceeds to step S13. If the power supply method is battery power supply, the process proceeds to step S21.

　（ステップＳ１３）判定部１４０は、自身のプロセッサ情報に基づいて、自身のプロセッサが十分な処理能力を有しているか否かを判定する。例えば、判定部１４０は、ＣＰＵ動作周波数が予め定められた閾値以上である場合、十分な処理能力を有していると判定する。また、例えば、判定部１４０は、コア数が予め定められた閾値以上である場合、十分な処理能力を有していると判定する。
　自身のプロセッサが十分な処理能力を有している場合、処理は、ステップＳ１４に進む。自身のプロセッサが十分な処理能力を有していない場合、処理は、ステップＳ２７に進む。 (Step S13) The determining unit 140 determines whether or not its own processor has sufficient processing power based on its own processor information. For example, the determining unit 140 determines that its own processor has sufficient processing power when the CPU operating frequency is equal to or greater than a predetermined threshold. Also, for example, the determining unit 140 determines that its own processor has sufficient processing power when the number of cores is equal to or greater than a predetermined threshold.
If the own processor has sufficient processing power, the process proceeds to step S14, If the own processor does not have sufficient processing power, the process proceeds to step S27.

　（ステップＳ１４）判定部１４０は、外部給電で動作しているＵＥから受信したプロセッサ情報に基づいて、自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在するか否かを判定する。 (Step S14) Based on the processor information received from the UE operating on external power supply, the determination unit 140 determines whether or not there is a UE with a processing capability higher than the processing capability of its own processor.

　まず、ステップＳＴ１０１によって、他のＵＥが送信した給電情報が受信されている。そのため、判定部１４０は、他のＵＥから受信した給電情報に基づいて、外部給電で動作しているＵＥを特定できる。 First, in step ST101, power supply information transmitted by other UEs is received. Therefore, the determination unit 140 can identify UEs that are operating with external power supply based on the power supply information received from other UEs.

　次に、判定処理の具体例を示す。例えば、判定部１４０は、自身のＣＰＵ動作周波数よりも高いＣＰＵ動作周波数のＣＰＵを有するＵＥが存在するか否かを判定する。また、例えば、判定部１４０は、自身のコア数よりも多いコアを有するＵＥが存在するか否かを判定する。 Next, a specific example of the determination process is shown. For example, the determination unit 140 determines whether or not there is a UE having a CPU with a higher CPU operating frequency than the UE's own CPU operating frequency. Also, for example, the determination unit 140 determines whether or not there is a UE having a greater number of cores than the UE's own number of cores.

　自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在しない場合、処理は、ステップＳ１５に進む。自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在する場合、処理は、ステップＳ２７に進む。 If there is no UE with a processing capability higher than the processing capability of the own processor, the process proceeds to step S15. If there is a UE with a processing capability higher than the processing capability of the own processor, the process proceeds to step S27.

　（ステップＳ１５）決定部１５０は、自身のＵＥを代表ＵＥ候補に決定する。
　（ステップＳ１６）算出部１６０は、乱数を算出する。
　（ステップＳ１７）通信部１２０は、代表ＵＥ候補であることを示す情報（以下、代表ＵＥ候補情報）と、乱数とを他のＵＥに送信する。 (Step S15) The determination unit 150 determines its own UE as a representative UE candidate.
(Step S16) The calculation unit 160 calculates a random number.
(Step S17) The communication unit 120 transmits information indicating that the UE is a representative UE candidate (hereinafter, representative UE candidate information) and a random number to the other UEs.

　図６は、実施の形態１の代表ＵＥ候補の決定処理の例を示すフローチャート（その２）である。
　（ステップＳ２１）取得部１３０は、自身のバッテリのバッテリ残量を示すバッテリ残量情報を取得する。例えば、取得部１３０は、当該バッテリ残量情報を記憶部１１０から取得する。例えば、取得部１３０は、当該バッテリのバッテリ残量を計測するセンサから当該バッテリ残量情報を取得する。 FIG. 6 is a flowchart (part 2) illustrating an example of the process of determining representative UE candidates according to the first embodiment.
(Step S21) The acquisition unit 130 acquires remaining battery information indicating the remaining battery capacity of the battery. For example, the acquisition unit 130 acquires the remaining battery capacity information from the storage unit 110. For example, the acquisition unit 130 acquires the remaining battery capacity information from a sensor that measures the remaining battery capacity of the battery.

　（ステップＳ２２）判定部１４０は、当該バッテリ残量情報に基づいて、バッテリ残量が予め定められた閾値以上であるか否かを判定する。バッテリ残量が当該閾値以上である場合、処理は、ステップＳ２３に進む。バッテリ残量が当該閾値未満である場合、処理は、ステップＳ２７に進む。 (Step S22) The determination unit 140 determines whether the remaining battery charge is equal to or greater than a predetermined threshold based on the remaining battery charge information. If the remaining battery charge is equal to or greater than the threshold, the process proceeds to step S23. If the remaining battery charge is less than the threshold, the process proceeds to step S27.

　（ステップＳ２３）判定部１４０は、自身のプロセッサ情報に基づいて、自身のプロセッサが十分な処理能力を有しているか否かを判定する。例えば、判定部１４０は、ＣＰＵ動作周波数が予め定められた閾値以上である場合、十分な処理能力を有していると判定する。また、例えば、判定部１４０は、コア数が予め定められた閾値以上である場合、十分な処理能力を有していると判定する。
　自身のプロセッサが十分な処理能力を有している場合、処理は、ステップＳ２４に進む。自身のプロセッサが十分な処理能力を有していない場合、処理は、ステップＳ２７に進む。 (Step S23) The determining unit 140 determines whether or not its own processor has sufficient processing power based on its own processor information. For example, the determining unit 140 determines that its own processor has sufficient processing power when the CPU operating frequency is equal to or greater than a predetermined threshold. Also, for example, the determining unit 140 determines that its own processor has sufficient processing power when the number of cores is equal to or greater than a predetermined threshold.
If the own processor has sufficient processing power, the process proceeds to step S24. If the own processor does not have sufficient processing power, the process proceeds to step S27.

　（ステップＳ２４）判定部１４０は、外部給電で動作しているＵＥから受信したプロセッサ情報に基づいて、自身のプロセッサの処理能力と同じ処理能力を有するＵＥが存在するか否かを判定する。条件を満たす場合、処理は、ステップＳ２７に進む。条件を満たさない場合、処理は、ステップＳ２５に進む。 (Step S24) The determination unit 140 determines whether or not there is a UE that has the same processing capacity as the processing capacity of its own processor, based on the processor information received from the UE operating on external power supply. If the condition is met, the process proceeds to step S27. If the condition is not met, the process proceeds to step S25.

　（ステップＳ２５）判定部１４０は、外部給電で動作しているＵＥから受信したプロセッサ情報に基づいて、自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在するか否かを判定する。自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在しない場合、処理は、ステップＳ２６に進む。自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在する場合、処理は、ステップＳ２７に進む。 (Step S25) The determination unit 140 determines whether or not a UE with a processing capability higher than the processing capability of its own processor exists based on the processor information received from the UE operating on external power supply. If a UE with a processing capability higher than the processing capability of its own processor does not exist, the process proceeds to step S26. If a UE with a processing capability higher than the processing capability of its own processor exists, the process proceeds to step S27.

　（ステップＳ２６）判定部１４０は、当該閾値以上のバッテリ残量を有し、かつバッテリ給電で動作しているＵＥから受信したプロセッサ情報に基づいて、自身のプロセッサの処理能力よりも高い処理能力を有するＵＥが存在するか否かを判定する。
　なお、判定部１４０は、他のＵＥから受信した給電情報に基づいて、バッテリ給電で動作しているＵＥを特定できる。また、判定部１４０は、他のＵＥから受信したバッテリ残量情報に基づいて、当該閾値以上のバッテリ残量を有しているか否かを判定できる。
　条件を満たす場合、処理は、ステップＳ２７に進む。条件を満たさない場合、処理は、ステップＳ１５に進む。 (Step S26) Based on the processor information received from a UE that has a remaining battery charge equal to or greater than the threshold and is operating on battery power, the determination unit 140 determines whether or not there is a UE that has a processing capability higher than the processing capability of its own processor.
The determination unit 140 can identify a UE that is operating on battery power supply based on the power supply information received from another UE. Also, the determination unit 140 can determine whether or not the UE has a remaining battery capacity equal to or greater than the threshold based on the remaining battery capacity information received from the other UE.
If the condition is met, the process proceeds to step S27, otherwise the process proceeds to step S15.

　（ステップＳ２７）決定部１５０は、自身のＵＥが代表ＵＥにならないことを決定する。 (Step S27) The decision unit 150 decides that its own UE will not become the representative UE.

　他のＵＥが代表ＵＥ候補に決定された場合、代表ＵＥ候補情報及び乱数が受信される。例えば、ＵＥ１００ａ，１００ｂが代表ＵＥ候補に決定された場合、ＵＥ１００ａは、代表ＵＥ候補情報及び乱数をＵＥ１００ｂから受信する。また、ＵＥ１００ｂは、代表ＵＥ候補情報及び乱数をＵＥ１００ａから受信する。 If another UE is determined as the representative UE candidate, the representative UE candidate information and the random number are received. For example, if UE100a and 100b are determined as the representative UE candidates, UE100a receives the representative UE candidate information and the random number from UE100b. Also, UE100b receives the representative UE candidate information and the random number from UE100a.

　このように、複数のＵＥのそれぞれは、給電方式と、プロセッサの処理能力とに基づいて、自身のＵＥが、代表ＵＥ候補であるか否かを判定する。また、複数のＵＥのそれぞれは、給電方式がバッテリ給電である場合、バッテリ残量と、プロセッサの処理能力とに基づいて、自身のＵＥが、代表ＵＥ候補であるか否かを判定する。 In this way, each of the multiple UEs determines whether or not it is a representative UE candidate based on the power supply method and the processing capacity of its processor. Also, when the power supply method is battery power supply, each of the multiple UEs determines whether or not it is a representative UE candidate based on the remaining battery capacity and the processing capacity of its processor.

　次に、代表ＵＥの決定処理を、フローチャートを用いて説明する。
　図７は、実施の形態１の代表ＵＥの決定処理の例を示すフローチャート（その１）である。
　（ステップＳ３１）判定部１４０は、自身のＵＥが代表ＵＥ候補であるか否かを判定する。自身のＵＥが代表ＵＥ候補である場合、処理は、ステップＳ３２に進む。自身のＵＥが代表ＵＥ候補でない場合、処理は、ステップＳ３４に進む。 Next, the representative UE determination process will be described with reference to a flowchart.
FIG. 7 is a flowchart (part 1) illustrating an example of a process for determining a representative UE according to the first embodiment.
(Step S31) The determination unit 140 determines whether or not the UE itself is a representative UE candidate. If the UE itself is a representative UE candidate, the process proceeds to step S32. If the UE itself is not a representative UE candidate, the process proceeds to step S34.

　（ステップＳ３２）判定部１４０は、他に代表ＵＥ候補が存在するか否かを判定する。具体的には、判定部１４０は、代表ＵＥ候補情報が受信された場合、他に代表ＵＥ候補が存在すると判定する。
　他に代表ＵＥ候補が存在する場合、処理は、ステップＳ４１に進む。他に代表ＵＥ候補が存在しない場合、処理は、ステップＳ３３に進む。 (Step S32) The determination unit 140 determines whether or not there is another representative UE candidate. Specifically, when representative UE candidate information is received, the determination unit 140 determines that there is another representative UE candidate.
If there is another representative UE candidate, the process proceeds to step S41. If there is no another representative UE candidate, the process proceeds to step S33.

　（ステップＳ３３）決定部１５０は、自身のＵＥを代表ＵＥに決定する。
　（ステップＳ３４）決定部１５０は、自身のＵＥが代表ＵＥにならないことを決定する。 (Step S33) The determination unit 150 determines its own UE as the representative UE.
(Step S34) The determination unit 150 determines that its own UE will not become the representative UE.

　図８は、実施の形態１の代表ＵＥの決定処理の例を示すフローチャート（その２）である。
　（ステップＳ４１）ステップＳ３２の次にステップＳ４１が実行される場合、判定部１４０は、ステップＳ１７で送信された乱数が他のＵＥから受信した乱数よりも大きいか否かを判定する。ステップＳ４５の次にステップＳ４１が実行される場合、判定部１４０は、ステップＳ４３で算出された乱数がステップＳ４５で受信された乱数よりも大きいか否かを判定する。
　条件が満たされる場合、処理は、ステップＳ３３に進む。条件が満たされない場合、処理は、ステップＳ４２に進む。 FIG. 8 is a flowchart (part 2) illustrating an example of the representative UE determination process according to the first embodiment.
(Step S41) When step S41 is executed after step S32, the determination unit 140 determines whether the random number transmitted in step S17 is greater than the random number received from another UE. When step S41 is executed after step S45, the determination unit 140 determines whether the random number calculated in step S43 is greater than the random number received in step S45.
If the condition is met, the process proceeds to step S33, otherwise the process proceeds to step S42.

　（ステップＳ４２）ステップＳ３２の次にステップＳ４１が実行される場合、判定部１４０は、ステップＳ１７で送信された乱数と、他のＵＥから受信した乱数とが同じであるか否かを判定する。ステップＳ４５の次にステップＳ４１が実行される場合、判定部１４０は、ステップＳ４３で算出された乱数と、ステップＳ４５で受信された乱数とが同じであるか否かを判定する。
　条件が満たされる場合、処理は、ステップＳ４３に進む。条件が満たされない場合、処理は、ステップＳ３４に進む。 (Step S42) When step S41 is executed after step S32, the determination unit 140 determines whether the random number transmitted in step S17 is the same as the random number received from another UE. When step S41 is executed after step S45, the determination unit 140 determines whether the random number calculated in step S43 is the same as the random number received in step S45.
If the condition is met, the process proceeds to step S43, otherwise the process proceeds to step S34.

　（ステップＳ４３）算出部１６０は、新たな乱数を算出する。
　（ステップＳ４４）通信部１２０は、代表ＵＥ候補のうち、同じ値の乱数を送信したＵＥに新たな乱数を送信する。
　ここで、当該ＵＥは、新たな乱数を受信する。当該ＵＥは、新たな乱数を受信した場合、新たな乱数を算出する。そして、当該ＵＥは、算出された乱数を送信する。 (Step S43) The calculation unit 160 calculates a new random number.
(Step S44) The communication unit 120 transmits a new random number to the UEs among the representative UE candidates that transmitted the same random number value.
Here, the UE receives a new random number. When the UE receives the new random number, the UE calculates a new random number. Then, the UE transmits the calculated random number.

　（ステップＳ４５）通信部１２０は、乱数を当該ＵＥから受信する。そして、処理は、ステップＳ４１に進む。
　代表ＵＥの決定処理が終了した場合、通信システムでは、代表ＵＥが決定される。このように、代表ＵＥは、代表ＵＥ候補の中から決定される。代表ＵＥは、複数の代表ＵＥ候補が存在する場合、乱数を用いて決定される。 (Step S45) The communication unit 120 receives a random number from the UE. Then, the process proceeds to step S41.
When the process of determining the representative UE is completed, the representative UE is determined in the communication system. In this manner, the representative UE is determined from among the representative UE candidates. When there are multiple representative UE candidates, the representative UE is determined using a random number.

　次に、代表ＵＥが行う処理を、シーケンスを用いて説明する。また、代表ＵＥは、ＵＥ１００ｄとする。
　図９は、実施の形態１の代表ＵＥが行う処理の例を示すシーケンス図である。
　（ステップＳＴ１１１）ＵＥ１００ｄは、ＵＥ１００ａ，１００ｂ，１００ｃのＩＰアドレスとトラフィック種別とを収集する。
　（ステップＳＴ１１２）ＵＥ１００ｄは、ＱｏＳの設定、ＮＳＳＡＩの設定を行う。
　（ステップＳＴ１１３）ＵＥ１００ｄは、アプリケーションサーバ３０との間でコネクションを確立する。
　（ステップＳＴ１１４）ＵＥ１００ｄは、ＮＡＴ（Ｎｅｔｗｏｒｋ　Ａｄｄｒｅｓｓ　Ｔｒａｎｓｆｏｒｍａｔｉｏｎ）処理を実行する。ＮＡＴ処理では、トラフィックの統合とトラフィックの割当てが行われる。 Next, a process performed by the representative UE will be described using a sequence. The representative UE is assumed to be the UE 100d.
FIG. 9 is a sequence diagram showing an example of processing performed by the representative UE in the first embodiment.
(Step ST111) The UE 100d collects the IP addresses and traffic types of the UEs 100a, 100b, and 100c.
(Step ST112) The UE 100d configures QoS and NSSAI.
(Step ST113) The UE 100d establishes a connection with the application server 30.
(Step ST114) The UE 100d executes a network address transformation (NAT) process. In the NAT process, traffic integration and traffic allocation are performed.

　実施の形態１によれば、通信システムでは、複数のＵＥの中から代表ＵＥが、決定される。そして、代表ＵＥは、複数のＵＥの代表として、通信を行う。そのため、通信システムは、ネットワーク負荷を軽減することができる。 According to the first embodiment, in the communication system, a representative UE is determined from among multiple UEs. The representative UE then performs communication as a representative of the multiple UEs. As a result, the communication system can reduce the network load.

　ステップＳ１３，２３では、自身のプロセッサが十分な処理能力を有しているか否かが、判定された。ステップＳ１３，２３では、判定部１４０は、自身のＣＰＵ使用率が予め定められた閾値以下であるか否かを判定してもよい。 In steps S13 and S23, it is determined whether the processor itself has sufficient processing power. In steps S13 and S23, the determination unit 140 may determine whether the CPU usage rate of the processor itself is equal to or lower than a predetermined threshold value.

実施の形態２．
　次に、実施の形態２を説明する。実施の形態２では、実施の形態１と相違する事項を主に説明する。そして、実施の形態２では、実施の形態１と共通する事項の説明を省略する。 Embodiment 2.
Next, a description will be given of embodiment 2. In embodiment 2, differences from embodiment 1 will be mainly described. Furthermore, in embodiment 2, description of matters common to embodiment 1 will be omitted.

　実施の形態１では、一人のユーザが有する複数のＵＥの中から代表ＵＥが決定される場合を説明した。実施の形態２では、複数のユーザが有する複数のＵＥの中から代表ＵＥが決定される場合を説明する。 In the first embodiment, a case where a representative UE is determined from among multiple UEs owned by one user is described. In the second embodiment, a case where a representative UE is determined from among multiple UEs owned by multiple users is described.

　図１０は、実施の形態２の通信システムを示す図である。通信システムは、ＵＥ１００ａ～１００ｆを含む。
　ＵＥ１００ａ～１００ｄは、ユーザＵ１の所有物である。ＵＥ１００ｅ，１００ｆは、ユーザＵ２の所有物である。例えば、ユーザＵ１とユーザＵ２とは、同じ部屋に存在する。 10 is a diagram showing a communication system according to embodiment 2. The communication system includes UEs 100a to 100f.
The UEs 100a to 100d belong to a user U1, and the UEs 100e and 100f belong to a user U2. For example, the users U1 and U2 are in the same room.

　図１１は、実施の形態２の複数のＵＥが実行する処理の流れを示す図である。
　（ステップＳＴ１２１）ＵＥ１００ａ～１００ｆは、ローカル通信処理を実行する。
　ＵＥ１００ａ～１００ｆの通信部は、互いに、給電情報及びプロセッサ情報を送受信する。給電情報がバッテリ給電を示している場合、ＵＥ１００ａ～１００ｆの通信部は、バッテリ残量情報を受信する。 FIG. 11 is a diagram showing a flow of processes executed by a plurality of UEs in the second embodiment.
(Step ST121) The UEs 100a to 100f each execute a local communication process.
The communication units of the UEs 100a to 100f transmit and receive power supply information and processor information to and from each other. When the power supply information indicates battery power supply, the communication units of the UEs 100a to 100f receive battery remaining amount information.

　（ステップＳＴ１２２）ＵＥ１００ａ～１００ｆは、代表ＵＥ候補の決定処理を実行する。代表ＵＥ候補の決定処理は、ステップＳＴ１０２と同じなので、説明を省略する。
　（ステップＳＴ１２３）ＵＥ１００ａ～１００ｆは、代表ＵＥの決定処理を実行する。代表ＵＥの決定処理は、ステップＳＴ１０３と同じなので、説明を省略する。
　代表ＵＥの決定処理が終了した場合、通信システムでは、代表ＵＥが決定される。代表ＵＥは、ＵＥ１００ｄとする。 (Step ST122) The UEs 100a to 100f execute a process of determining representative UE candidates. The process of determining representative UE candidates is the same as that in step ST102, and therefore will not be described.
(Step ST123) The UEs 100a to 100f execute a process of determining a representative UE. The process of determining a representative UE is the same as that in step ST103, and therefore will not be described.
When the process of determining the representative UE is completed, the representative UE is determined in the communication system. The representative UE is assumed to be the UE 100d.

　図１２は、実施の形態２の代表ＵＥが行う処理の例を示すシーケンス図である。
　（ステップＳＴ１３１）ＵＥ１００ｄは、ＵＥ１００ａ～１００ｃ，１００ｅ，１００ｆのＩＰアドレスとトラフィック種別とを収集する。
　（ステップＳＴ１３２）ＵＥ１００ｄは、ＱｏＳの設定、ＮＳＳＡＩの設定を行う。
　（ステップＳＴ１３３）ＵＥ１００ｄは、アプリケーションサーバ３０との間でコネクションを確立する。
　（ステップＳＴ１３４）ＵＥ１００ｄは、ＮＡＴ処理を実行する。 FIG. 12 is a sequence diagram illustrating an example of processing performed by a representative UE in the second embodiment.
(Step ST131) The UE 100d collects the IP addresses and traffic types of the UEs 100a to 100c, 100e, and 100f.
(Step ST132) The UE 100d configures QoS and NSSAI.
(Step ST133) The UE 100d establishes a connection with the application server 30.
(Step ST134) The UE 100d executes the NAT process.

　実施の形態２によれば、通信システムでは、複数のユーザが有する複数のＵＥの中から代表ＵＥが、決定される。そして、代表ＵＥは、複数のＵＥの代表として、通信を行う。そのため、通信システムは、ネットワーク負荷を軽減することができる。 According to the second embodiment, in the communication system, a representative UE is determined from among multiple UEs owned by multiple users. The representative UE then performs communication as a representative of the multiple UEs. As a result, the communication system can reduce the network load.

　また、代表ＵＥが決定された後、新たなＵＥが代表ＵＥと接続される場合を説明する。
　図１３は、実施の形態２のＵＥが追加された場合の例を示すシーケンス図である。なお、基地局１０は、省略されている。
　ＵＥ１００ａ～１００ｄの中からＵＥ１００ｄが代表ＵＥに決定されたものとする。ＵＥ１００ｅ，１００ｆが追加されたものとする。 In addition, a case where a new UE is connected to the representative UE after the representative UE is determined will be described.
13 is a sequence diagram showing an example in which a UE according to the second embodiment is added. Note that the base station 10 is omitted.
It is assumed that the UE 100d is determined to be the representative UE from among the UEs 100a to 100d, and that the UEs 100e and 100f are added.

　（ステップＳＴ１４１）ＵＥ１００ｄは、ＵＥ１００ｅ，１００ｆとコネクションを確立する。これにより、ＵＥ１００ｄとＵＥ１００ｅ，１００ｆとの間では、ローカル通信が可能になる。
　（ステップＳＴ１４２）ＵＥ１００ｄは、ＵＥ１００ｅ，１００ｆのＩＰアドレスとトラフィック種別とを収集する。
　（ステップＳＴ１４３）ＵＥ１００ｄは、ＵＥ１００ｅ，１００ｆのために、ＱｏＳの設定、ＮＳＳＡＩの設定を行う。
　（ステップＳＴ１４４）ＵＥ１００ｄは、ＮＡＴ処理を実行する。 (Step ST141) The UE 100d establishes connections with the UEs 100e and 100f. This enables local communication between the UE 100d and the UEs 100e and 100f.
(Step ST142) The UE 100d collects the IP addresses and the traffic types of the UEs 100e and 100f.
(Step ST143) The UE 100d configures the QoS and the NSSAI for the UEs 100e and 100f.
(Step ST144) The UE 100d executes the NAT process.

　なお、上記では、ユーザＵ２が有するＵＥ１００ｅ，１００ｆが追加される場合を説明した。上記の内容は、ユーザＵ２が有するＵＥが追加される場合に適用することができる。すなわち、上記の内容は、異なるユーザがＵＥを追加する場合に適用することができる。 Note that the above describes the case where UEs 100e and 100f owned by user U2 are added. The above content can be applied when a UE owned by user U2 is added. In other words, the above content can be applied when a different user adds a UE.

　このように、代表ＵＥは、代表ＵＥが決定された後に新たなＵＥが追加された場合、複数のＵＥ（例えば、ＵＥ１００ａ～１００ｃ）と、新たなＵＥ（例えば、ＵＥ１００ｅ，１００ｆ）と含む複数のＵＥの代表として、５Ｇの通信を行う。新たなＵＥが個別にコネクションを確立しないため、ネットワーク負荷が軽減される。 In this way, if a new UE is added after the representative UE has been determined, the representative UE performs 5G communication as a representative of multiple UEs including multiple UEs (e.g., UEs 100a to 100c) and the new UE (e.g., UEs 100e and 100f). Because the new UE does not establish a connection individually, the network load is reduced.

　以上に説明した各実施の形態における特徴は、互いに適宜組み合わせることができる。 The features of each of the embodiments described above can be combined as appropriate.

　１０　基地局、　２０　５Ｇコアネットワーク、　３０　アプリケーションサーバ、　１００，１００ａ～１００ｆ　ＵＥ、　１０１　プロセッサ、　１０２　揮発性記憶装置、　１０３　不揮発性記憶装置、　１１０　記憶部、　１２０　通信部、　１３０　取得部、　１４０　判定部、　１５０　決定部、　１６０　算出部。 10 Base station, 20 5G core network, 30 Application server, 100, 100a to 100f UE, 101 Processor, 102 Volatile storage device, 103 Non-volatile storage device, 110 Storage unit, 120 Communication unit, 130 Acquisition unit, 140 Determination unit, 150 Decision unit, 160 Calculation unit.

Claims (6)

　ユーザが使用する複数の端末を含み、
　代表端末が、前記複数の端末の中から決定され、
　前記代表端末は、前記複数の端末の代表として、５Ｇ（５ｔｈ　Ｇｅｎｅｒａｔｉｏｎ　Ｍｏｂｉｌｅ　Ｃｏｍｍｕｎｉｃａｔｉｏｎ　Ｓｙｓｔｅｍ）又はｂｅｙｏｎｄ　５Ｇの通信を行う、
　通信システム。 A plurality of terminals used by users are included,
A representative terminal is determined from among the plurality of terminals;
The representative terminal performs 5G (5th Generation Mobile Communication System) or beyond 5G communication as a representative of the multiple terminals.
Communication systems. 　前記複数の端末のそれぞれは、給電方式と、プロセッサの処理能力とに基づいて、自身の端末が、代表端末候補であるか否かを判定し、
　前記代表端末は、前記代表端末候補の中から決定される、
　請求項１に記載の通信システム。 Each of the plurality of terminals determines whether or not the terminal itself is a candidate for a representative terminal based on a power supply method and a processing capacity of a processor;
The representative terminal is determined from the representative terminal candidates.
The communication system according to claim 1 . 　前記複数の端末のそれぞれは、前記給電方式がバッテリ給電である場合、バッテリ残量と、前記プロセッサの処理能力とに基づいて、自身の端末が、前記代表端末候補であるか否かを判定する、
　請求項２に記載の通信システム。 When the power supply method is battery power supply, each of the plurality of terminals determines whether or not the terminal itself is a candidate for the representative terminal based on a remaining battery charge and a processing capacity of the processor.
The communication system according to claim 2. 　前記代表端末は、複数の前記代表端末候補が存在する場合、乱数を用いて決定される、
　請求項２又は３に記載の通信システム。 When there are a plurality of representative terminal candidates, the representative terminal is determined using a random number.
A communication system according to claim 2 or 3. 　前記複数の端末は、複数のユーザが有する端末である、
　請求項１から４のいずれか１項に記載の通信システム。 The plurality of terminals are terminals owned by a plurality of users.
A communication system according to any one of claims 1 to 4. 　前記代表端末は、前記代表端末が決定された後に新たな端末が追加された場合、前記複数の端末と、前記新たな端末とを含む複数の端末の代表として、５Ｇ又はｂｅｙｏｎｄ　５Ｇの通信を行う、
　請求項１から５のいずれか１項に記載の通信システム。 When a new terminal is added after the representative terminal is determined, the representative terminal performs 5G or beyond 5G communication as a representative of the plurality of terminals including the plurality of terminals and the new terminal.
A communication system according to any one of claims 1 to 5.
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