Network system and terminal

Abstract

In order to suitably provide an autonomous next-generation network based on user intent while utilizing the function of an existing network, this network system includes: a first node group configured by a plurality of first network nodes including one or more user terminals, one or more base stations to which the one or more user terminals are connected, and a network entity constituting a core network to which the one or more base stations are connected, the first node group having a network configuration in which the plurality of first network nodes are connected; and a second node group configured by a plurality of AI agents that are a plurality of second network nodes corresponding to the plurality of first network nodes. The plurality of AI agents monitor or manage the target first network nodes, and communicate among the plurality of AI agents.

Description

Network system and terminal 【0001】 The present disclosure relates to a network system and a terminal. 【0002】 Conventionally, there is a fog computing architecture in an environment based on the Internet of Things (for example, Patent Document 1). 【0003】 Japanese Patent Translation No. 2021-512525 【0004】 An object of the present disclosure is to provide a network system and a terminal that can suitably provide a self-driving next-generation network based on user intent while utilizing the functions of an existing network. 【0005】 One aspect of the present disclosure is composed of a plurality of first network nodes including one or more user terminals (UEs), one or more base stations to which the one or more UEs are connected, and network entities constituting a core network to which the one or more base stations are connected, and has a network configuration in which the plurality of first network nodes are connected, a first node group, and a second node group composed of a plurality of AI agents which are a plurality of second network nodes corresponding to the plurality of first network nodes, wherein the plurality of AI agents monitor, operate, or manage a target first network node and communicate with each other. 【0006】 Another aspect of the present disclosure is a terminal that communicates with one or more base stations, has communication means for communicating with a network system including a plurality of first network nodes including the one or more base stations and network entities constituting a core network to which the one or more base stations are connected, the first node group having a network configuration in which the plurality of first network nodes are connected, and a second node group composed of a plurality of AI agents which are a plurality of second network nodes corresponding to the plurality of first network nodes, the second node group including an AI agent corresponding to the terminal, and the communication means transmitting information processed by the AI agent. 【0007】 Other aspects of this disclosure may include a first network node, a second network node (AI agent) constituting a network system, information processing devices operating as such, a program that causes the information processing devices to operate as each network node, and a computer-readable medium storing the program. 【0008】 According to this disclosure, it is possible to suitably provide an autonomous next-generation network based on user intent while utilizing the functions of existing networks. 【0009】 Figure 1 is a diagram showing an example of the configuration of a network system according to an embodiment. Figure 2 is a diagram showing an example of the configuration of a 5G system. Figure 3 is a sequence diagram illustrating the procedure for establishing communication between neighboring agents during registration. Figure 4 is a sequence diagram showing an example of the registration procedure for an AI agent. Figure 5 is a sequence diagram showing an example of the discovery procedure for an AI agent. Figures 6A and 6B are diagrams showing examples of the configuration of an information processing device. 【0010】 Embodiments of this disclosure will be described in detail with reference to the drawings. Figure 1 is a diagram showing an example configuration of a network system according to an embodiment. Figure 2 is a diagram showing an example configuration of a 5G system. In Figure 1, the network system has a two-layer structure consisting of a first layer and a second layer that is above the first layer. The first layer is an example of a "first node group," and the second layer is an example of a "second node group." However, the first layer / second layer can also be called a core node group / support node group, a main node group / assist node group, or a primary group / secondary group. 【0011】<First Layer> The first layer is, for example, a fifth-generation mobile communication system (called 5GS or 5G network). 5GS is an example of a "mobile communication network (mobile communication system)" and a "cellular network". As shown in Figure 2, 5GS comprises one or more RANs (Radio Access Networks) 3 to which one or more user terminals (UEs (User Equipment) 2) are connected, and a core network 4 (5GC) to which one or more RANs 3 are connected. Here, a fifth-generation mobile communication system is shown as an example, but it is not limited to this, and may be a fifth-generation or later mobile communication system. 【0012】 UE2 is the user's (subscriber's) terminal. UE2 may be a mobile terminal (mobile device) such as a smartphone, or it may be a vehicle (a stationary in-vehicle terminal). RAN3 is the access network to the core network 4 (5GC) and is composed of base stations (called gNBs). The core network 4 is composed of a collection of multiple network entities (called network functions (NFs)). 【0013】 The core network 4 (5GC) includes several types of NF11, as shown below. However, the types of NF11 are not limited to the examples in Figure 2. UPF (User Plane Function) 11a AMF (Access and Mobility Management Function) 11b SMF (Session Management Function) 11c PCF (Policy Control Function) 11d NEF (Network Exposure Function) 11e NRF (Network Repository Function) 11g NSSF (Network Slice Selection Function) 11h AUSF (Authentication Server Function) 11i UDM (Unified Data Management) 11j NWDAF (Network Data Analytics Function) 11k 【0014】UPF11a performs routing and forwarding of user packets (user plane packets sent and received by UE2), packet inspection, and QoS processing. UPF11a is connected to DN (Data Network) 5. DN5 is an external data network (such as the Internet) outside of 5GC. 【0015】 The AMF11b is a location-based accommodation device for UE2 in the core network 4. The AMF11b accommodates RAN3 (base stations) and performs subscriber authentication control, UE2 location (mobility) management, etc. The UDM11j is a database (storage device) that provides subscriber information, and retrieves, registers, deletes, and modifies the status of UE2. 【0016】 SMF11c manages PDU (Protocol Data Unit) sessions and controls UPF11a for the implementation of QoS (Quality of Service) control and policy control. A PDU session is a virtual communication channel for data exchange between UE2 and DN5. 【0017】 PCF11d performs QoS control, policy control, and billing control under the control of SMF11c. QoS control controls the quality of communication, such as prioritizing packet forwarding. Policy control performs communication control, such as QoS, packet forwarding eligibility, and billing, based on network or subscriber information. NEF11e acts as an intermediary between external nodes (external devices) such as AF (Application Function)12 and nodes (NF) within the control plane. In other words, NEF11e functions as a gateway (GW) between the core network 4 and the external network. AF12 is an application server (external server) located outside the core network 4 (for example, connected to DN5). 【0018】 NRF11g stores and manages information about the NFs that make up the core network 4. In response to an inquiry regarding an NF that the user wishes to use, NRF11g can return multiple candidate NFs to the inquirer. 【0019】NSSF11h has the function of selecting the network slice to be used by the subscriber from among the network slices generated by network slicing. A network slice is a virtual network with specifications tailored to its intended use. 【0020】 AUSF11i is a subscriber authentication server that performs subscriber authentication under the control of AMF11b. NWDAF11k has the function of collecting and analyzing data from each NF11, OAM (Operations, Administration, and Maintenance) terminal, AF12, etc. NWDAF11k is an NF that provides analytical information related to 5GS. 【0021】 Each NF consists of one or more information processing devices. These information processing devices are installed in a special building called a data center. A data center is also called a central office. One or more data centers are located within the communication area of ​​the core network 4, and the data centers are connected by communication lines 7. Each data center is equipped with an OAM terminal for the operation, management, and maintenance of the core network 4. 【0022】 Figure 2 illustrates the NFs 11a to 11e and 11g to 11k that constitute 5GC, but the core network 4 may also include new NFs, such as new NFs in the 6G system. Each of the UE2, base station 3, each NF11, and AF12 is included in the "multiple first network nodes" that constitute the first layer. Figure 1 also illustrates, as an example, a cloud server used to provide various services to the user (UE2) (for example, providing information to UE2) and an edge server located closer to UE2 than the cloud server. The edge server is located (connected) within the core network 4, or in the backhaul connecting the base station and UPF11a, or in a data center close to UPF11a. The cloud server is a form of AF12, but the purpose of use of AF12 is not limited to use as a cloud server. The cloud server and edge server are also included in the "multiple first network nodes" that constitute the first layer. 【0023】<Second Layer> The second layer is a network established above the first layer, and has a network configuration in which communication takes place between multiple second network nodes implemented on multiple first network nodes. The second network nodes are called AI (Artificial Intelligence) agents. Here, the second layer is established above the first layer, but it is not limited to this, and the second layer may be at the same level as the first layer or below it. 【0024】 An AI agent is a network node (network entity) that, for example, possesses intelligent capabilities (such as a large-scale language model or a visual-language-behavior model) and can perform specific tasks (such as cognition, planning, decision-making, and tool utilization, including understanding intents and perceived environments) without human intervention, in cooperation with itself or other AI agents. 【0025】 In the second layer, for example, in cases where an NF11 within the core network 4 performs a predetermined task or process in response to a request from AF12 and returns the processing result to AF12, or in cases where a specific NF11 operates to provide some kind of service (such as information) to UE2, queries for the location of the desired NF11 may concentrate on NRF11g, leading to an increase in the load on NRF11g. In this case, for example, the load on NRF11g can be balanced by distributing the functions of NRF11g across the second layer. 【0026】 An AI agent is a virtual network node implemented in the first network node. In other words, an AI agent can be deployed in correspondence with end devices (UE2, AF12, intelligent robots, intelligent cars, etc.) included in the first network node in the first layer, and with the first network node (base stations, NF11, edge servers, network intelligent assistants, etc.). 【0027】The AI ​​agent is essentially software (application program) implemented in an information processing device (computer) that operates as the first network node. AI agents communicate with each other at the application layer, and for communication processing related to layers lower than the application layer, the first layer (for example, existing control plane and user plane protocols of 5GS) is used. In other words, basic communication functions (for example, connection to core network 4, authentication, data transmission and reception, and mobility management of UE2) use the first layer. Therefore, the second layer can be described as a virtual overlay network built on top of the first layer. By utilizing 5GS as the communication infrastructure, the intelligent functions of the layers and AI agents enable the provision of an AI-native next-generation communication network (6G network), including automation of network management, optimization of network resource allocation, and provision of services tailored to user intent. 【0028】 The AI ​​agent may be implemented in a one-to-one correspondence with the first network node (UE2, base station, or NF11, etc.). In the example shown in Figure 1, one AI agent (UE agent) is implemented on one UE2, and one AI agent (base station agent) is implemented on one base station. In addition, one corresponding AI agent (edge ​​agent, NF#1 agent, NF#2 agent, GW agent, AF agent) is implemented on each of the edge servers, NF11 (NF#1, NF#2), NEF11e, and cloud server (AF12). For example, UE11 transmits the acquired user conversation content to the core network 4, and the UE agent processes the transmitted conversation content and provides a service to UE2. Here, for example, UE2 provides the user with a service such as store recommendations based on the conversation content. Here, when the UE transmits data such as conversation content, control may be implemented to indicate whether or not to set a flag requesting that the AI ​​agent process it. For example, data sent by a UE without any flags will not be processed by the UE agent. 【0029】However, a 1:n correspondence is possible, meaning that one AI agent may be implemented for two or more first network nodes. For example, one AI agent may be implemented to manage two or more UE2s, or one AI agent may be implemented to manage two or more base stations. A configuration in which one AI agent is provided for multiple NF11s is also possible. However, it is not mandatory for all NF11s constituting the core network 4 to have an AI agent implemented, and there may be NF11s that do not have an AI agent implemented. 【0030】 The AI ​​agent operates autonomously on the first network node (UE2, base station, NF11, etc.) on which it is implemented, and can monitor, operate, and manage at least one of the resources and status of the first network node on which it is implemented (and which it manages). 【0031】 The resources to be monitored, operated, or managed include, for example, computing resources (CPU (Central Processing Unit) and GPU (Graphics Processing Unit) usage of a node), memory, storage usage (free space), and communication resources (wireless, wired bandwidth, etc.). The resources to be monitored or managed may also include various types of data (system logs, collected data, etc., data features, labels, data volume, and data quality (for example, the contribution of the data to training the relevant AI model)). 【0032】In communication between AI agents, communication between adjacent AI agents is established when the communication procedure in the first layer (5GS) is executed. For example, during the connection procedure between UE2 and the base station, communication between the UE agent and the base station agent is established. Also, when connecting the base station and NF11 (AMF11b), communication between the base station agent and the NF agent (AMF agent) corresponding to AMF11b may be established. In the first layer, with respect to the first network node on which the AI ​​agent is implemented, information about the implemented AI agent is registered in NRF11g or UDM11j (if the first network node is UE2), and the first network node can obtain the information as needed, thereby enabling communication between AI agents. By exchanging information between AI agents, for example, a UE agent can request processing from a BS agent or request the acquisition of desired resources. 【0033】 AI agent information includes information for AI agent-to-AI agent communication and information indicating the attributes of the AI ​​agent. For example, this includes AI agent identification information (agent ID), communication address information (IP address, MAC address), type (e.g., UE, base station, NF type, etc.), learning method (e.g., reinforcement learning, associative learning (FL), transfer learning), AoI (Area of ​​Interest: TA or list of cells), time window, vendor / interoperability information, etc. 【0034】 The communication between AI agents can be configured as needed. For example, a dedicated protocol for communication between AI agents may be used. Alternatively, the communication may be conducted in a natural language-based manner (for example, if LLM is used, natural language plus prompts may be used). 【0035】Figure 3 is a sequence diagram illustrating the procedure for establishing communication between neighboring agents during registration. In step S1, a registration request message is sent from UE2 to the base station. The registration request message includes AI agent information, such as the agent ID and IP address of the UE agent acting as the AI ​​agent. 【0036】 In step S2, AI agent-to-agent communication (inter-neighbor agent communication) is established between UE2 and the base station. Establishing this agent-to-agent communication requires authentication processing and authorization processing on UE2. The processing in step S2 may be performed after the processing in step S6, which will be described later. 【0037】 In step S3, a Registration Request message is sent from the base station to the AMF11b. The Registration Request message includes information about the AI ​​agent, specifically the UE agent and BS agent (Agent ID, IP address, etc.). 【0038】 In step S4, AI agent-to-agent communication (inter-neighbor agent communication) is established between UE2 and AMF11b. This establishment of agent-to-agent communication is performed according to authority and necessity. The processing in step S4 may be performed after the processing in step S6, which will be described later. 【0039】In step S5, a registration procedure is performed between AMF11b and a designated NF11 such as PCF11d or SMF11c. In the 5GS procedure, for example, the location of UE2 is registered to UDM11j, and information on SMF11c, UPFa, and PCF11d is registered to NRF11g. Based on the registration information in NRF11g, AMF11b selects either SMF11c or PCF11d, and the selected SMF11c selects UPFa, establishing a PDU session with UE2. At this time, if cooperation is performed between AMF11b and PCF11d, or between AMF11b and SMF11c, depending on the authority and necessity, information on the UE agent and BS agent are shared between them, and inter-agent communication is established. 【0040】 In step S6, AMF11b sends a message to UE2 indicating that the registration has been accepted (Registration Accept). 【0041】 Figure 4 is a sequence diagram showing an example of the AI ​​agent registration procedure. In step S11, NF11 (NF11 such as AMF11b) sends a message (Nnrf_NFManagement_NFRegister) to NRF11g at an appropriate time, requesting the registration of AI agent information. The AI ​​agent information includes the agent ID and IP address, and is registered by NRF11g upon receiving the message. In step S12, NRF11g replies to NF11 with a message (Register result) indicating that the registration is complete. 【0042】Figure 5 is a sequence diagram showing an example of the detection (discovery) procedure of an AI agent. In step S21, the NF service customer transmits a message (Nnrf_NFDiscovery_Request) for a detection request of a desired NF11 to NRF11g. The message includes information for identifying NF11 corresponding to the desired AI agent. The NF service customer is a type of NF11. The NF service customer may be configured such that an existing NF11 operates as the NF service customer by extending the existing NF11. Alternatively, a new NF11 that operates upon receiving a request from an existing NF11 may be provided. 【0043】 In step S22, NRF11g transmits a message (Nnrf_NFDiscovery_Reply) of a detection reply to the detection request to the NF service customer. The detection reply includes information on the AI agent for the detected NF11. In this way, the NF11 (such as AMF11b) operating as the NF service customer can obtain information on a desired AI agent (NF agent) from NRF11g as necessary and establish communication between agents prior to the process of step S5 shown in FIG. 3. 【0044】 <Configuration of Information Processing Apparatus and Terminal> FIG. 6A is a diagram showing a configuration example of an information processing apparatus that can operate as each of NF11a to 11e, 11g to 11k, AF12, a cloud server, or an edge server. In FIG. 6A, the information processing apparatus 20 can be configured using a dedicated or general-purpose information processing apparatus (computer) such as a personal computer (PC), a workstation (WS), or a server machine. However, the information processing apparatus 20 may be an aggregate (cloud) of one or two or more computers. 【0045】 The information processing apparatus 20 includes a processor 21 as a processing unit or a control unit (controller) interconnected via a bus 26, a storage device 22, a communication interface 23 (communication IF 23), an input device 24, and a display 25. 【0046】The memory device 22 includes a main memory device and an auxiliary memory device. The main memory device is used as at least one of a storage area for programs and data, a program expansion area, a program working area, and a buffer area for communication data. The main memory device is composed of a RAM (Random Access Memory), or a combination of a RAM and a ROM (Read Only Memory). The auxiliary memory device is used as a storage area for data and programs. A non-volatile storage medium is applied to the auxiliary memory device. The non-volatile storage medium is, for example, a hard disk, a Solid State Drive (SSD), a flash memory, or an EEPROM (Electrically Erasable Programmable Read-Only Memory), etc. Also, the memory device 22 can include a drive device for a disk recording medium. 【0047】 The communication IF 23 is a circuit that performs communication processing. For example, the communication IF 23 is a network interface card (NIC). Also, the communication IF 23 may be a wireless communication circuit that performs wireless communication (such as 5G, wireless LAN (Wi-Fi), BLE, etc.). Also, the communication IF 23 may be a combination of a circuit that performs wired communication processing and a wireless communication circuit. 【0048】 The input device 24 includes keys, buttons, pointing devices, touch panels, etc., and is used for inputting information. The display 25 is, for example, a liquid crystal display, etc., and displays information and data. 【0049】 The processor 21 performs various processes by executing various programs stored in the memory device 22. By the processor 21 executing the programs stored in the memory device 22, the information processing device 20 can operate as each of the NF11a to 11k, the AF12, the cloud server, or the edge server. 【0050】Figure 6B shows an example configuration of a terminal 40 (information processing device) capable of operating as a UE2. The terminal 40 includes a processor 41 (an example of "providing means" or "control means"), a storage device 42, a communication interface 43 (a communication IF 43, an example of "communication means"), an input device 44, and a display 45, all interconnected via a bus 46. The processor 41, storage device 42, communication IF 43, input device 44, and display 45 can be the same as those used for the processor 21, storage device 22, communication IF 23, input device 24, and display 25. Therefore, their descriptions are omitted. The terminal 40 may also be a portable terminal or a mobile device such as a vehicle. The terminal 40 may have a position detection device such as a GPS receiver, or various sensors such as radar, lidar, or a camera (image sensor). 【0051】 The storage devices 22 and 42 store a program for the information processing device 20 to operate as an AI agent, as well as data used when the program is executed. For example, the storage device 22 of the information processing device 20 operating as an NRF 11g or UDM 11j stores AI agent information. 【0052】Processors 21 and 41 are, for example, CPUs. A CPU is also called a Microprocessor Unit (MPU). Processors 21 and 41 may be in a single-processor configuration or a multi-processor configuration. A single physical CPU connected by a single socket may have a multi-core configuration. Processors 21 and 41 may include various circuit configurations of arithmetic units such as Digital Signal Processors (DSPs) or GPUs. Processors 21 and 41 may also have a configuration that works in conjunction with at least one of the following: integrated circuits (ICs), other digital circuits, and analog circuits. Integrated circuits include LSIs, Application Specific Integrated Circuits (ASICs), and Programmable Logic Devices (PLDs). PLDs include, for example, Field-Programmable Gate Arrays (FPGAs). Processors 21 and 41 also include what are called, for example, microcontrollers (MCUs), SoCs (System-on-a-chips), system LSIs, or chipsets. 【0053】In the example shown in Figure 1, in a system where UE2 receives services (data or information) from a cloud server or edge server using 5GS, an AI agent is implemented to monitor or manage a first network node located on the path between UE2 and the cloud server or edge server. By monitoring or managing the first network node, the AI ​​agent can reduce the load on a specific NF11 (e.g., NRF11g) (load balancing). In other words, in 5GS, information regarding NF11 in the core network 4 is centrally managed by NRF11g, whereas the first network node is managed in a distributed manner at the second layer, thereby reducing the load on NRF11g. For example, when a user inputs information into UE2, the UE agent implemented in UE2 operates autonomously and communicates with other AI agents. At this time, queries to NRF11g that are normally performed in the operation of 5GS are replaced by distributed processing through AI agent communication, thereby reducing the load on NRF11. However, centralized management by NRF11g may be retained. For example, information for each AI agent can be registered in NRF11g, and information such as Discovery for adjacent AI agents can be queried from NRF11g. Such static or minimal information can be queried from NRF11g. 【0054】Furthermore, dynamic information such as load information for each NF is managed locally by each AI agent, enabling optimal network management (e.g., selecting an NF based on load conditions) through communication between AI agents. This eliminates the need to register with NRF11g, leading to a reduction in the load on NRF11g. Through communication between AI agents, for example, data held by UE2 can be transmitted to the AF agent implemented on the cloud server via the UE agent, BS agent, NF#2 agent, and GW agent. Conversely, through the same path, the UE agent implemented on UE2 can receive data from the cloud server to the UE agent (UE2). Also, under predetermined conditions, the UE agent can communicate with the edge agent implemented on the edge server through interaction with the NF#1 agent, and send and receive data. In this way, through communication at the second layer, UE2 can receive data or information (service provision) from the cloud server or edge server in response to service requests. According to the network system of this embodiment, by using 5GS (first layer), it is possible to realize communication between AI agents (second layer) while keeping the scale of development under control. According to this embodiment, it is possible to suitably provide an autonomous next-generation network based on user intent while utilizing the functions of existing networks. 【0055】 The configurations shown in the embodiments can be combined as appropriate, as long as the purpose of the disclosure is achieved. Furthermore, the processes and means described in this disclosure can be freely combined and implemented, as long as no technical inconsistencies arise. Also, processes described as being performed by one device may be divided and executed by multiple devices. Conversely, processes described as being performed by different devices may be executed by a single device. In a computer system, the hardware configuration (server configuration) used to implement each function can be flexibly changed. 【0056】The present disclosure can also be realized by supplying a computer program implementing the functions described in the embodiments above to a computer, and having one or more processors in the computer read and execute the program. Such a computer program may be provided to the computer by a non-temporary computer-readable storage medium that can be connected to the computer's system bus, or it may be provided to the computer via a network. The non-temporary computer-readable storage medium includes any type of disk, such as magnetic disks (floppy disks, hard disk drives (HDDs), etc.), optical disks (CD-ROMs, DVDs, Blu-ray discs, etc.), read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, or optical cards, and any type of medium suitable for storing electronic instructions. 【0057】<Notes> (Note 1) A network system comprising: a group of first nodes comprising a plurality of first network nodes including one or more user terminals (UEs), one or more base stations to which the one or more UEs are connected, and a network entity constituting a core network to which the one or more base stations are connected, and a group of second nodes comprising a plurality of AI agents which are a plurality of second network nodes corresponding to the plurality of first network nodes, wherein the plurality of AI agents monitor or manage the target first network node and communicate with each other. (Note 2) The network system according to Note 1, further comprising external nodes connected to the core network, wherein the plurality of first network nodes further comprises: a group of first nodes comprising: one or more cloud servers, or one or more cloud servers and one or more edge servers, wherein the plurality of first network nodes further comprises: a group of first nodes comprising: (Note 5) The network system according to Note 4, wherein the second node group includes an AI agent corresponding to one or more cloud servers or an AI agent corresponding to one or more edge servers. (Note 6) The network system according to Note 1, wherein a specific network node among the plurality of first network nodes stores AI agent information including communication information for the AI ​​agent and information indicating the attributes of the AI ​​agent, and the plurality of AI agents use the AI ​​agent information when communicating with each other. (Note 7) The network system according to Note 1, wherein the second node group includes an AI agent corresponding to one or more UEs, an AI agent corresponding to one or more base stations, and an AI agent corresponding to the network entity. (Note 8) The network system according to Note 1, wherein the first node group is configured based on a fifth-generation mobile communication system.(Note 9) The network entity is the network system described in Note 1, which includes one or more of the following: UPF (User Plane Function), AMF (Access and Mobility Management Function), SMF (Session Management Function), PCF (Policy Control Function), NEF (Network Exposure Function), NRF (Network Repository Function), NSSF (Network Slice Selection Function), AUSF (Authentication Server Function), UDM (Unified Data Management), and NWDAF (Network Data Analytics Function). (Note 10) A terminal that communicates with one or more base stations, wherein the terminal has communication means for communicating with a network system comprising a plurality of first network nodes including the one or more base stations and network entities that constitute a core network to which the one or more base stations are connected, and the plurality of first network nodes comprising a first node group having a network configuration and a second node group consisting of a plurality of AI agents which are a plurality of second network nodes corresponding to the plurality of first network nodes, the second node group including an AI agent corresponding to the terminal, and the communication means for transmitting information processed by the AI ​​agent. (Note 11) The terminal according to Note 10, further comprising providing means for providing a service to a user based on the processing of the information by the AI ​​agent. (Note 12) The terminal according to Note 10, wherein the AI ​​agent corresponding to the terminal is characterized by detecting other AI agents. (Note 13) The terminal according to Note 10, further comprising control means for controlling whether or not to transmit data processed by the AI ​​agent corresponding to the terminal. 【0058】2...User terminal (UE) 3...RAN 4...Core network 5...DN 11...NF 12...AF 20...Information processing device 21,41...Processor 22,42...Storage device 23,43...Communication interface

Claims

1. A network system comprising: a group of first nodes having a network configuration in which the group of first network nodes is connected, the group of first network nodes comprising at least one of the following: one or more user terminals, one or more base stations to which the one or more user terminals are connected, and a group of second nodes comprising a group of AI agents which are a group of second network nodes corresponding to the group of first network nodes, wherein the group of AI agents monitor or manage the target first network node and communicate with each other.

2. The network system according to claim 1, wherein the plurality of first network nodes further include external nodes connected to the core network.

3. The network system according to claim 2, wherein the second group of nodes includes an AI agent corresponding to the external node.

4. The network system according to claim 1, wherein the plurality of first network nodes further include one or more cloud servers, or one or more cloud servers and one or more edge servers.

5. The network system according to claim 4, wherein the second node group includes an AI agent corresponding to one or more cloud servers or an AI agent corresponding to one or more edge servers.

6. The network system according to claim 1, wherein a specific network node among the plurality of first network nodes stores AI agent information, which includes information for communication of the AI ​​agent and information indicating the attributes of the AI ​​agent, and the plurality of AI agents use the AI ​​agent information when communicating with each other.

7. The network system according to claim 1, wherein the second node group includes an AI agent corresponding to one or more user terminals, an AI agent corresponding to one or more base stations, and an AI agent corresponding to the network entity.

8. The network system according to claim 1, wherein the first group of nodes is configured based on a fifth-generation mobile communication system.

9. The network system according to claim 1, wherein the network entity includes one or more of the following: UPF (User Plane Function), AMF (Access and Mobility Management Function), SMF (Session Management Function), PCF (Policy Control Function), NEF (Network Exposure Function), NRF (Network Repository Function), NSSF (Network Slice Selection Function), AUSF (Authentication Server Function), UDM (Unified Data Management), and NWDAF (Network Data Analytics Function).

10. A terminal that communicates with one or more base stations, comprising a network system comprising a plurality of first network nodes including the one or more base stations and network entities constituting a core network to which the one or more base stations are connected, a plurality of first network nodes comprising a first node group having a network configuration and a plurality of AI agents which are a plurality of second network nodes corresponding to the plurality of first network nodes, and a plurality of AI agents which communicate with each other, wherein the plurality of AI agents comprises a second node group which includes an AI agent corresponding to the terminal, and the communication means transmits information processed by the AI ​​agent.

11. The terminal according to claim 10, further comprising means for providing a service to a user based on the AI ​​agent processing the information.

12. The terminal according to claim 10, characterized in that the AI ​​agent corresponding to the terminal can detect other AI agents.

13. The terminal according to claim 10, further comprising control means for controlling whether or not to transmit data to be processed by the AI ​​agent corresponding to the terminal.

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