WO2021170033A1 - 一种网络配置方法及装置 - Google Patents

一种网络配置方法及装置 Download PDF

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Publication number
WO2021170033A1
WO2021170033A1 PCT/CN2021/077850 CN2021077850W WO2021170033A1 WO 2021170033 A1 WO2021170033 A1 WO 2021170033A1 CN 2021077850 W CN2021077850 W CN 2021077850W WO 2021170033 A1 WO2021170033 A1 WO 2021170033A1
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network
network function
function instance
configuration
instance
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PCT/CN2021/077850
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English (en)
French (fr)
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支炳立
武绍芸
王毓芳
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华为技术有限公司
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Publication of WO2021170033A1 publication Critical patent/WO2021170033A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

Definitions

  • This application relates to the field of communication technology, and in particular to a network configuration method and device.
  • the fifth generation of mobile communication (the 5 th generation, 5G) network introduces new technology, new architecture , Such as network function virtualization (NFV), cloud native, network slice, etc. Therefore, the 5G network architecture will become more complex than the traditional network architecture, and network architecture adjustments will also become more frequent.
  • the adjustment of 5G network architecture mostly adopts manual configuration management method, which has problems such as large workload and high operation and maintenance cost.
  • the embodiments of the present application provide a network configuration method and device, which can reduce the workload of manual configuration and realize intelligent network configuration.
  • an embodiment of the present application provides a network configuration method, which can be executed by a network storage function instance.
  • the network storage function instance receives the information of the first network function instance from the first network function instance; and then, according to the information of the first network function instance, determines the value of the first network function instance from the network configuration data.
  • Configuration data the network configuration data including parameters for configuring multiple network function instances.
  • the network storage function instance After determining the configuration data of the first network function instance, the network storage function instance sends the configuration data of the first network function instance to the first network function instance.
  • the network storage function instance can realize the mapping of the network configuration data to the configuration data of the first network function instance according to the received information of the first network function instance and the network configuration data it stores, thereby determining the first network function instance Configuration data.
  • the network configuration method does not require manual configuration, and can realize intelligent network configuration.
  • the network storage function instance receives the network configuration data from the network function management instance.
  • the network configuration data may be sent by the network function management instance to the network storage function instance, and the network storage function instance may store the network configuration data.
  • the network storage function instance determines the first network configuration object set corresponding to the first network function instance according to the information of the first network function instance. According to the first network configuration model of the first network configuration object set, the configuration model of the first network function instance is generated. The configuration data of the first network function instance corresponding to the configuration model of the first network function instance is determined. It can be seen that the network storage function instance can realize the mapping of network configuration data to the configuration data of the first network function instance through the network configuration model.
  • the first network when the network storage function instance generates the configuration model of the first network function instance according to the first network configuration model, the first network may be generated according to the static model of the first network configuration model.
  • the configuration model of the function instance; or, the configuration model of the first network function instance may be generated according to the dynamic model of the first network configuration model.
  • the static model includes a public configuration model or an independent configuration model, the public configuration model is used to configure multiple network function instances in the first network configuration object set, and the independent configuration model is used to configure the first network
  • the function instance corresponds to the type of network function instance.
  • the dynamic model is characterized as a dynamic allocation rule of the resource pool. It can be seen that the network storage function instance can realize the mapping of network configuration data to the configuration data of the first network function instance through static mapping or dynamic mapping, so that the network storage function instance can more flexibly determine the configuration of the first network function instance data.
  • the dynamic allocation rule is used to instruct the dynamic allocation of the resource pool according to the network status, and the network status includes any one or more of the following:
  • the number of network nodes is the number of network nodes
  • the status of the network node is the status of the network node.
  • the parameters used to configure multiple network function instances include configuration parameters of the first network configuration object set.
  • the network storage function instance may receive a registration request message from the first network function instance, and the registration request message includes the information of the first network function instance. It can be seen that the information of the first network function instance may be carried in the registration request message of the first network function instance, and sent by the first network function instance to the network storage function instance.
  • the network storage function instance may send a registration response message to the first network function instance, and the registration response message includes the configuration data of the first network function instance. It can be seen that the configuration data of the first network function instance may be carried in the registration response message and sent by the network storage function instance to the first network function instance.
  • the network storage function instance may send a first message to the network function management instance, and the first message is used to update one of the registered network function instances.
  • the network storage function instance receives the second message of the first network function instance, and the second message is used to request to update the configuration data of the first network function instance;
  • the operating information of the network function instance determines the updated configuration data of the first network function instance, and the operating information of the first network function instance includes the status of the first network function instance; sending all information to the first network function instance The response message of the second message, where the response message includes the updated configuration data of the first network function instance.
  • the information of the first network function instance includes any one or more of the following:
  • the network configuration method is executed by a network storage function instance.
  • an embodiment of the present application provides a network configuration device, including:
  • a receiving unit configured to receive information about the first network function instance from the first network function instance
  • a processing unit configured to determine configuration data of the first network function instance from network configuration data according to the information of the first network function instance, the network configuration data including parameters for configuring multiple network function instances;
  • the sending unit is configured to send the configuration data of the first network function instance to the first network function instance.
  • the receiving unit is further configured to receive the network configuration data from the network function management instance.
  • the processing unit determines the configuration data of the first network function instance from the network configuration data according to the information of the first network function instance, it is specifically configured to:
  • the configuration data of the first network function instance corresponding to the configuration model of the first network function instance is determined.
  • the processing unit when the processing unit generates the configuration model of the first network function instance according to the first network configuration model of the first network configuration object set, it is specifically configured to:
  • the configuration model of the first network function instance is generated according to the static model of the first network configuration model, where the static model includes a public configuration model or an independent configuration model, and the public configuration model is used to configure the first network function instance.
  • a network configuration object concentrates on multiple network function instances, and the independent configuration model is used to configure a network function instance of a type corresponding to the first network function instance;
  • the configuration model of the first network function instance is generated according to the dynamic model of the first network configuration model, where the dynamic model is characterized as a dynamic allocation rule of a resource pool.
  • the dynamic allocation rule is used to instruct the dynamic allocation of the resource pool according to the network status, and the network status includes any one or more of the following:
  • the number of network nodes is the number of network nodes
  • the status of the network node is the status of the network node.
  • the parameters used to configure multiple network function instances include configuration parameters of the first network configuration object set.
  • the receiving unit when the receiving unit receives the information of the first network function instance from the first network function instance, it is specifically configured to:
  • the sending unit is specifically configured to: when sending the configuration data of the first network function instance to the first network function instance:
  • the sending unit is also used to:
  • a first message is sent to the network function management instance, where the first message is used to update the topological connection relationship between the registered network function instances.
  • the receiving unit is further configured to receive a second message of the first network function instance, and the second message is used to request to update the configuration data of the first network function instance;
  • the processing unit is further configured to determine the updated configuration data of the first network function instance according to the operation information of the first network function instance, and the operation information of the first network function instance includes the information of the first network function instance. state;
  • the sending unit is further configured to send a response message of the second message to the first network function instance, where the response message includes the updated configuration data of the first network function instance.
  • the information of the first network function instance includes any one or more of the following:
  • the network configuration device is a network storage function instance.
  • an embodiment of the present application provides a network configuration device, the network configuration device includes a processor, and the network configuration device is configured to implement the function or method involved in the above-mentioned first aspect.
  • the network configuration device further includes a memory, and the memory is configured to store program instructions and data necessary to implement the functions of the method described in the first aspect.
  • an embodiment of the present application provides a communication system, and the communication system includes the network configuration device provided in the foregoing third aspect.
  • the communication system also includes a first network function instance; the first network function instance is used to send information of the first network function instance to the network storage function instance; the first network function instance is also used to receive information from The configuration data of the first network function instance of the network storage function instance.
  • the communication system further includes a network function management instance; the network function management instance is used to send the network configuration data to the first network function instance.
  • an embodiment of the present application provides a computer-readable storage medium.
  • the computer-readable storage medium includes a program or instruction.
  • the program or instruction runs on a computer, the computer executes the first aspect or the first aspect. Any one of the possible implementation methods.
  • the chip system in the above aspect may be a system on chip (SOC), or a baseband chip, etc., where the baseband chip may include a processor, a channel encoder, a digital signal processor, a modem, and an interface module.
  • SOC system on chip
  • baseband chip may include a processor, a channel encoder, a digital signal processor, a modem, and an interface module.
  • the embodiments of the present application provide a chip or chip system.
  • the chip or chip system includes at least one processor and an interface.
  • the interface and the at least one processor are interconnected through a wire, and the at least one processor is used to run computer programs or instructions. To perform the method described in the first aspect or any one of the possible implementation manners of the first aspect.
  • the interface in the chip can be an input/output interface, a pin, or a circuit.
  • the chip or chip system described above in this application further includes at least one memory, and instructions are stored in the at least one memory.
  • the memory may be a storage unit inside the chip, for example, a register, a cache, etc., or a storage unit of the chip (for example, a read-only memory, a random access memory, etc.).
  • embodiments of the present application provide a computer program product, and the computer program product includes one or more computer instructions.
  • the computer instructions When the computer instructions are loaded and executed on the computer, the processes or functions of the network configuration method described in the embodiments of the present application are generated in whole or in part.
  • FIG. 1 is a schematic diagram of a network architecture provided by an embodiment of this application.
  • FIG. 2 is a schematic diagram of an open management function architecture provided by an embodiment of the application.
  • Figure 3a is a schematic diagram of an initial network construction scenario provided by an embodiment of the application.
  • Figure 3b is a schematic diagram of a network expansion scenario provided by an embodiment of the application.
  • Figure 3c is a schematic diagram of a network self-optimization scenario provided by an embodiment of the application.
  • FIG. 4 is a schematic flowchart of a network configuration method provided by an embodiment of this application.
  • FIG. 5a is a schematic diagram of a static model provided by an embodiment of this application.
  • FIG. 5b is a schematic diagram of a dynamic model provided by an embodiment of this application.
  • FIG. 6 is a schematic flowchart of a network configuration method provided by an embodiment of the application applied to an initial network construction scenario
  • FIG. 7 is a schematic flowchart of a network configuration method provided by an embodiment of the application applied to a network expansion scenario
  • FIG. 8 is a schematic flowchart of a network configuration method provided by an embodiment of the application applied to a network self-optimization scenario
  • FIG. 9 is a schematic structural diagram of a network configuration device provided by an embodiment of this application.
  • FIG. 10 is a schematic structural diagram of another network configuration device provided by an embodiment of this application.
  • FIG. 11 is a schematic structural diagram of a communication system provided by an embodiment of this application.
  • FIG. 1 is a 5G network architecture provided by an embodiment of this application.
  • various types of terminal devices such as smart phones, smart cars, smart watches, etc.
  • the 5G core network adopts a distributed network structure, which can include multiple functional instances, such as network function management function (NFMF) instances, network storage function (NRF) instances, and network function (network function management function, NRF) instances. , NF) examples and so on.
  • NFMF network function management function
  • NRF network function management function
  • NF network function management function
  • the network function instance described in the embodiments of this application may refer to a network element.
  • the NF instance refers to an access management function (AMF) or session management.
  • AMF access management function
  • SMF session management function
  • UPF user plane function
  • Multiple NF instances may constitute a set of NF instances, where the set of NF instances may be a set of NF instances of the same type.
  • a set of NF instances may refer to a set of multiple AMFs, and the set of NF instances may include AMF1, AMF2, AMF3, and so on.
  • the collection of NF instances can also be a collection of different types of network elements that are service-related.
  • the collection of NF instances refers to a collection of SMF and UPF, and the collection can include SMF1, SMF2, SMF3, UPF1, UPF2, etc. .
  • AMF mainly supports functions such as terminal registration management, connectivity management, and mobility management.
  • SMF mainly supports functions such as session establishment, modification and release.
  • SMF is also responsible for the allocation and management of user equipment (UE) network protocol (IP) addresses.
  • SMF also supports UPF selection and control, UPF and connection Functions such as tunnel maintenance between access nodes (AN).
  • UPF is mainly responsible for packet routing and forwarding of data messages.
  • the NF instance described in this embodiment of the application may also include an authentication server function (authentication server function, AUSF), a unified data management network element (unified data management, UDM), and a policy control network element (policy control).
  • function, PCF authentication server function
  • AUSF network slice selection function
  • charging function module charging function, CHF
  • NEF network exposure function
  • NWDAF network data analysis function
  • AUSF is used to support user access authentication.
  • UDM supports user contract management, NF registration management, and authentication processing functions.
  • PCF supports a unified policy framework to manage network behavior.
  • NSSF is mainly responsible for selecting slice instances for terminal devices.
  • CHF is used for user billing management.
  • NEF is used to enable NF instances to expose functions and events to other NF instances through NEF.
  • NWDAF is mainly used for the analysis of data related to network slicing. It can be seen that the 5G network architecture has become more complicated than the traditional network architecture, and the management of the 5G network architecture has also become more complicated.
  • the NFMF instance in the 5G network architecture shown in Figure 1 is used for configuration management, fault management, and performance management of the NF instance.
  • the NFMF can provide a man-machine interface to the operation and maintenance personnel through the open management function (exposure government management function, EGMF) framework, so that the operation and maintenance personnel can perform configuration management, fault management, and performance management on the specified NF instance.
  • EGMF exposure government management function
  • Figure 2 is an EGMF framework.
  • operation and maintenance personnel can input control instructions through the man-machine interface, and realize the management of NF instances through the control instructions.
  • the operation and maintenance personnel can input configuration control instructions, and then perform configuration management on the NF instance through the configuration control instructions.
  • the operation and maintenance personnel can input a fault control instruction, and then perform fault management on the NF instance through the fault control instruction. It can be seen that the adjustment of the current 5G network architecture mostly adopts manual configuration management, which cannot effectively reduce the workload of configuration management, and it is also difficult to meet the needs of rapid business development and changes.
  • inventions of the present application provide a network configuration method and device.
  • the network configuration method can be applied to a 5G network architecture.
  • the network configuration method does not require manual configuration, and can realize intelligent network configuration.
  • the 5G network architecture is one of the architectures applied in the embodiments of this application, and the embodiments of this application can also be applied to the architectures of 3G, 4G, or next-generation networks such as 6G.
  • the applied network architecture does not constitute a limitation on this application. .
  • FIG. 3a is an application scenario of a network configuration method provided by an embodiment of the application.
  • the application scenario shown in Figure 3a is an initial network construction scenario, which includes an NFMF instance, an NRF instance, an NF instance, and so on.
  • the initial network construction scenario shown in Figure 3a adopts SMF/UPF Fullmesh initial network construction and AMF POOL initial network construction, which is conducive to network expansion and improving the robustness and flexibility of the entire network.
  • the set of NF instances includes AMF_1, AMF_2, SMF_1, SMF_2, UPF_1 and UPF_2, and the connection relationship is shown in Figure 3a.
  • AMF_1 and AMF_2 adopt AMF POOL networking
  • SMF_1, SMF_2, UPF_1 and UPF_2 adopt SMF/UPF Fullmesh networking.
  • UPF_1 and UPF_2 can be connected to a data network (DN).
  • the NRF receives the information of the NF instance, and determines the configuration data of the NF instance from the network configuration data in the NRF according to the information of the NF instance, which can realize the intelligent network configuration in the initial network construction scenario.
  • FIG. 3b is an application scenario of another network configuration method provided by an embodiment of the application.
  • the application scenario shown in Figure 3b is a network expansion scenario.
  • an NF instance is added to the initial network construction scenario shown in Figure 3a, for example, AMF_3 and SMF_3 are added.
  • the NRF when the newly expanded AMF_3 and SMF_3 initiate registration with the NRF, the NRF generates the configuration data of the corresponding NF instance according to the network configuration data, and then distributes it to the newly expanded NF instance, which can be automatically completed Configuration replication, no manual configuration is required.
  • FIG. 3c is an application scenario of another network configuration method provided by an embodiment of the application.
  • the application scenario shown in Figure 3c is a network self-optimization scenario.
  • NRF can update the configuration data of the NF instance according to the operating information of the NF instance to improve resource utilization Rate, improve the efficiency of operation and maintenance.
  • NF examples described in this embodiment may also include, for example, UDM, PCF, NSSF, AUSF, and CHF. , NWDAF, NEF, etc., the above-mentioned NF examples can all adopt the network configuration method described in the embodiments of the present application to realize efficient network configuration.
  • the embodiment of the present application provides a network configuration method, please refer to FIG. 4.
  • the network configuration method can be executed by the network storage function instance, and includes the following steps:
  • the network storage function instance receives the information of the first network function instance from the first network function instance.
  • the first network function instance may send the information of the first network function instance to the NRF, so that the NRF determines that the first network function instance is online, and can perform configuration management on the first network function instance.
  • the first network function instance may be a network element.
  • the first network function instance is the newly added network element AMF_3 shown in FIG. 3b, which is not limited in the embodiment of the present application.
  • the information of the first network function instance is used to indicate the relevant parameters of the first network function instance.
  • the information of the first network function instance may include, but is not limited to, the identity of the first network function instance (NF instance). ID), the parameter set (NF profile) of the first network function instance, etc.
  • the identifier of the first network function instance is used to distinguish different network function instances. For example, in the initial network construction scenario shown in Figure 3a, if the set of the first network function instances includes AMF_1, AMF_2, and AMF_3, the corresponding NF The instance IDs are NF_A1, NF_A2, and NF_A3.
  • the parameter set of the first network function instance includes the type, status, IP address, priority and other public parameters of the first network function instance. Configuration management.
  • the parameter set of the first network function instance may also include different types of independent parameters.
  • the parameter set of the first network function instance may also include an AMF type independent parameter (AMF Info), or may also include an SMF type independent parameter (SMF Info).
  • the parameter set of the network function instance corresponding to the set of NF instances further includes related parameters of the set of NF instances.
  • the parameter set of the network function instance corresponding to the set of NF instances also includes the identification (NF set ID) of the set of NF instances.
  • the information of the first network function instance may be carried in the registration request message of the first network function instance.
  • the step of the network storage function instance receiving the information of the first network function instance from the first network function instance may be: the network storage function instance receives a registration request message from the first network function instance, and the registration The request message includes the information of the first network function instance.
  • the NRF can receive a registration request message from the NF instance.
  • the NRF can receive a registration request message from AMF_3.
  • the registration request message is used to notify the NRF that AMF_3 is registered online.
  • the registration request message includes the information of AMF_3, such as AMF_3. NF instance ID, type, status, IP address, etc.
  • the network storage function instance determines the configuration data of the first network function instance from the network configuration data according to the information of the first network function instance.
  • the network storage function instance sends configuration data of the first network function instance to the first network function instance.
  • NRF is used to maintain real-time information of NF instances, which can be regarded as a real-time warehouse of NF instances, and supports NF instances to register, update, deregister, and discover with NRF.
  • the NF instance can send a registration request message to the NRF to register with the NRF.
  • the management plane NFMF
  • the NRF realizes the mapping of the network configuration data to the configuration data of the NF instance, thereby realizing the determination of the first network function instance from the network configuration data Configuration data.
  • the network configuration data is the data sent by the NFMF to the NRF.
  • the network configuration data may include but not limited to the network configuration object set, the network configuration model, the configuration model of the network function instance, and the network configuration model and the configuration model of the network function instance The mapping relationship model.
  • the network configuration object set is composed of multiple NF instances of the same type, or abstractly composed of different types of NF instances with business relevance.
  • SMF_1 and SMF_2 can be combined into a network configuration object set 1.
  • the network configuration object set 1 includes the configuration parameters of the SMF type.
  • SMF_1 and UPF_1 can be abstracted into a network configuration object set 2, network configuration object set 2.
  • an NF instance may belong to multiple network configuration object sets.
  • the NRF can specify which network configuration object set the NF instance belongs to by configuring the Set ID and combining the information of the NF instance.
  • SMF_1 in the initial network construction scenario shown in FIG. 3a may belong to network configuration object set 1 and network configuration object set 2.
  • NRF In order to support the dynamic network configuration based on NRF, NRF also stores the network configuration model, the configuration model of the network function instance, and the mapping relationship model between the network configuration model and the configuration model of the network function instance.
  • the mapping relationship model between the network configuration model and the configuration model of the network function instance includes a static model and a dynamic model.
  • Figure 5a is a schematic diagram of the static model of the network configuration model, where the network configuration model may include one or more NF instances (NF_A and NF_B in Figure 5a), and the common configuration of each NF instance Model and/or independent configuration model.
  • the public configuration model is used to configure multiple types of NF instances, including the public parameters of NF instances (such as the public parameters of NF_A and NF_B), etc.; the independent configuration model is used to configure corresponding types of NF instances, including the independence of different NF instances.
  • Configuration parameters for example, independent parameters of NF_A, independent parameters of NF_B), etc.
  • NF_A can determine the corresponding NF_A configuration model according to the static model of the network configuration model.
  • the configuration data of NF_A can be determined.
  • the configuration model of NF_A includes the public parameters of NF_A and NF_B, and the independent parameters of NF_A.
  • NF_B can determine the corresponding NF_B configuration model according to the static model of the network configuration model.
  • the configuration data of NF_B can be determined.
  • the configuration model of NF_B includes the public parameters of NF_A and NF_B, and the independent parameters of NF_B. It is understandable that the network configuration model shown in FIG. 5a, the configuration model of NF_A, and the configuration model of NF_B can all be stored in the NRF in the form of a table. Among them, a network configuration model is shown in Table 1. For example, assuming that NF_A in Table 1 is SMF and NF_B is UPF, then Table 1 can be as follows.
  • the step of NRF determining the configuration data of the corresponding NF_A according to the static model of the network configuration model may include: taking the public parameters of NF_A and NF_B and the independent parameters of NF_A from Table 1 corresponding to the network configuration model to form the configuration of NF_A Data, as shown in Table 2.
  • the configuration data of the NF_A includes the accessType in Table 2 above, which indicates that the interface type of the SMF is type 1. It should be noted that the foregoing Table 2 is only an example, and the configuration model of the network function instance may also be other implementation manners, which is not limited in the embodiment of the present application.
  • the step of determining the corresponding NF_B configuration model according to the static model of the network configuration model by NRF may include: taking the public parameters of NF_A and NF_B and the independent parameters of NF_B from Table 1 corresponding to the network configuration model to form the configuration data of NF_B ,as shown in Table 3.
  • Fig. 5b is a schematic diagram of a dynamic model of a network configuration model, where the dynamic model is characterized as a dynamic allocation rule of a resource pool.
  • the resource pool includes allocated resources and resources to be allocated, and corresponding dynamic allocation rules.
  • the allocated resources may include the number of the S-NSSAI that has been allocated to NF_A.
  • the dynamic allocation rule is used to instruct the NRF to dynamically allocate the resource pool according to the network status.
  • the network status may include but is not limited to the number of network nodes, the status of the network nodes, and so on.
  • the number of network nodes is used to indicate the number of NF instances currently connected to the network, so that NRF can perceive changes in the network topology in real time.
  • the state of the network node is used to indicate the current state of a certain NF instance, for example, indicating that the NF instance is currently online or offline, and indicating the current load (such as the number of sessions, etc.) of the NF instance, which is not limited in the embodiment of the present application.
  • the process of NRF generating the configuration model of the network function instance according to the dynamic model of the network configuration model may include the following steps:
  • NRF determines the allocated resources and the resources to be allocated according to the network status
  • the NRF generates a configuration model of the NF instance according to the information of the NF instance and the resources to be allocated.
  • the configuration data of the NF instance can be determined according to the configuration model of the NF instance.
  • the configuration data of the NF instance is carried on an application programming interface (application programming interface, API), for example, on the Nnrf_NFManagement interface.
  • API application programming interface
  • the API can be connected to the NF instance, as shown in Figure 5b.
  • the network storage function instance can determine the configuration data of the first network function instance according to the information of the first network function instance and the network configuration object set. Then S402 may include the following steps:
  • the network storage function instance determines the first network configuration object set corresponding to the first network function instance according to the information of the first network function instance;
  • the network storage function instance generates the configuration model of the first network function instance according to the first network configuration model of the first network configuration object set;
  • the network storage function instance determines the configuration data of the first network function instance corresponding to the configuration model of the first network function instance.
  • the first network function instance is SMF_1.
  • the first set of network configuration objects determined by NRF includes SMF_1 and UPF_1. If NRF generates the configuration model of the first network function instance according to the static model of the first network configuration model, the public configuration model is the public parameters of SMF_1 and UPF_1, and the independent configuration model is the independent parameter of SMF_1.
  • the first network configuration object set includes SMF_1 and SMF_2, the common configuration model is used to configure SMF_1 and SMF_2, and the independent configuration model is used to configure SMF_1. According to the independent configuration model and the common configuration model of SMF_1, the configuration data of SMF_1 can be determined.
  • the NRF may send its corresponding configuration data to the first network function instance.
  • the NRF can send its corresponding configuration data to the first network function instance through the Nnrf_NFManagement interface, as shown in Figure 5b.
  • the information received from the first network function instance by the NRF is carried in the registration request message sent by the first network function instance, then the NRF may carry the configuration data of the first network function instance in the registration response message, Sent to the first network function instance.
  • the NRF receives the registration request message from SMF_1.
  • the NRF may send a registration response message to SMF_1, where the registration response message includes the configuration data of SMF_1.
  • the NRF may send a first message to the NFMF, where the first message is used to update the topological connection relationship between the registered NF instances.
  • the NF instance will initiate an update to the NRF periodically or through event triggers, and the update actions include adding, reclaiming, reassigning, and so on.
  • the NRF can perceive the network topology and send the network topology information to the NFMF.
  • the NRF needs to update the network topology information and send the updated network topology information to the NFMF.
  • the registered and configured NF instance in the network needs to update the configuration data of the NF instance due to a state change, for example, a heavier load. Then, the NF instance may send a second message to the NRF, and the second message is used to request to update the configuration data of the NF instance.
  • the NRF processing of the NF instance requesting to update the configuration data may include the following steps:
  • s22 Determine the updated configuration data of the first network function instance according to the operation information of the first network function instance, where the operation information of the first network function instance includes the state of the first network function instance;
  • the first network function instance is UPF_1.
  • the operating information of UPF_1 indicates that the load of UPF_1 has doubled.
  • UPF_1 sends a second message to NRF for requesting to update the configuration data of UPF_1.
  • NRF increases the available business resources for UPF_1 based on the operating information of UPF_1.
  • the NRF sends a response message of the second message to UPF_1, and the response message carries the newly available service resources of UPF_1.
  • the allocated resources including sNssaiUpfInfoList are 1-8.
  • the service resource pool can include UPF_1's sNssaiUpfInfoList of 1-10, that is, UPF_1's sNssaiUpfInfoList is increased from 1-8 to 1-10.
  • NRF refreshes the NF configuration data by updating the corresponding interface.
  • the NF configuration data is carried on the Nnrf_NFManagement interface.
  • the NRF can send its corresponding configuration data to the first network function instance by updating the Nnrf_NFManagement interface, so as to complete the refresh of the NF configuration data by updating the Nnrf_NFManagement interface.
  • the network configuration data update initiated by the NFMF can also complete the NF configuration data update through the NRF update interface.
  • NFMF updates network configuration data
  • the updated network configuration data includes updated network configuration object set 1 and updated network configuration object set 2. If the first network function instance belongs to network configuration object set 2, and after network configuration object set 2 is updated, the configuration data corresponding to the first network function instance also needs to be updated, then NRF can send to the first network function instance by updating the Nnrf_NFManagement interface The updated configuration data can be used to refresh the NF configuration data by updating the Nnrf_NFManagement interface.
  • the embodiments of the present application provide a network configuration method and device, and the network configuration method is executed by NRF.
  • the NRF receives the information of the first network function instance from the first network function instance; and then determines the configuration data of the first network function instance from the network configuration data according to the information of the first network function instance, Then, the configuration data of the first network function instance is sent to the first network function instance.
  • the network configuration method realizes the mapping of network configuration data to the configuration data of the first network function instance through NRF, thereby determining the configuration data of the first network function instance, does not require manual configuration, and can realize intelligent network configuration.
  • the amount of repeated configuration data can be greatly compressed, so that a configuration takes effect for the entire network at a time, and the construction period for network activation is shortened.
  • configuration replication can be automatically completed during expansion and network dynamic elasticity, basically eliminating manual intervention.
  • the system When the system is running, it regularly monitors the status of NF instances to achieve dynamic allocation of business resource pools, maximize resource utilization efficiency, save operating costs, and improve operation and maintenance efficiency.
  • NF_A#1 home network configuration object set 1
  • NF_B#1 home network configuration object set 2
  • network configuration object set 3 the NF_B#2 home network configuration object set 3.
  • FIG. 6 shows the specific steps when the network configuration method according to the embodiment of the application is applied to the initial network construction scenario shown in FIG. 3a, including:
  • the NRF receives network configuration data from the NFMF, where the network configuration data includes configuration data of the network configuration object set 1, the network configuration object set 2, and the network configuration object set 3.
  • NRF saves network configuration data
  • NF_A#1 initiates a registration request 1 to NRF
  • the NRF generates configuration data of NF_A#1 according to the registration request 1 and the network configuration data;
  • the NRF returns a registration response 1, and the registration response 1 carries the configuration data of NF_A#1;
  • NF_A#1 receives registration response 1, saves and validates the configuration data of NF_A#1;
  • NF_B#1 initiates a registration request 2 to NRF;
  • the NRF generates configuration data of NF_B#1 according to the registration request 2 and the network configuration data;
  • the NRF returns a registration response 2, and the registration response 2 carries the configuration data of NF_B#1;
  • NF_B#1 receives registration response 2, saves and validates the configuration data of NF_B#1;
  • NF_B#2 initiates a registration request 3 to NRF
  • the NRF generates configuration data of NF_B#2 according to the registration request 3 and the network configuration data;
  • the NRF returns a registration response 3, which carries the configuration data of NF_B#2;
  • NF_B#2 receives registration response 3, saves and validates the configuration data of NF_B#2.
  • S615 The NRF synchronizes topology information with the NFMF.
  • NRF generates configuration data of NF_A#1 according to registration request 1 and network configuration data; or NRF generates configuration data of NF_B#1 according to registration request 2 and network configuration data; or NRF generates configuration data of NF_B#1 according to registration request 3 and network configuration data
  • the NRF may determine the NF_A#1 home network configuration object set 1 according to the information of NF_A#1 carried in the registration request 1.
  • NRF generates the configuration model of NF_A#1 through the static model.
  • the NRF determines the configuration data of NF_A#1 according to the configuration model of NF_A#1. It should be noted that the foregoing is only an example, and the method for determining the configuration data of NF_A#1 may also be through a dynamic model, which is not limited in this embodiment. It can be seen that in the scenario of initial network construction, the network configuration method described in the embodiment of the present application can greatly reduce the amount of repeated configuration data, so that a configuration takes effect for the entire network at a time, and the construction period for network activation is shortened.
  • FIG. 7 is a specific step when the network configuration method according to an embodiment of the application is applied to the network expansion scenario shown in FIG. 3b.
  • the newly added AMF type NF instance is denoted as NF_A#2
  • the newly added SMF type NF instance is denoted as NF_B#3.
  • S702 The NRF generates configuration data of NF_A#2 according to the registration request 4 and the network configuration data;
  • NF_A#2 receives registration response 4, saves and validates the configuration data of NF_A#2;
  • NF_B#3 initiates a registration request 5 to NRF;
  • S706 The NRF generates configuration data of NF_B#3 according to the registration request 5 and the network configuration data;
  • the NRF returns a registration response 5, which carries the configuration data of NF_B#3;
  • NF_B#3 receives registration response 5, saves and validates the configuration data of NF_B#3;
  • the NRF synchronizes topology information with the NFMF.
  • the NRF needs to synchronize topology information with the NFMF, so that the NFMF also updates the network configuration data and the relationship with the NF instance simultaneously. It can be seen that in scenarios of manual capacity expansion and dynamic network flexibility, the network configuration method described in the embodiments of the present application can automatically complete configuration replication, and basically achieves no manual intervention.
  • FIG. 8 is a specific step when the network configuration method according to an embodiment of the application is applied to the network self-optimization scenario shown in FIG. 3c.
  • the optimization in this scenario is the optimization of resource allocation for UPF_1, UPF_2, and UPF_3 in the network.
  • NRF has allocated the UE address segment to all UPFs in SMF/UPF and Fullmesh according to certain allocation rules.
  • UPF can update UPF operating information to NRF in real time.
  • NRF can allocate new UE address segments to UPF based on UPF operating information, or reclaim idle UE address segments based on UPF load information deal with.
  • NRF updates NF_B#1 configuration data according to the status of NF_B#1, and the update actions include adding, reclaiming, reassigning, etc.;
  • the NRF returns an update response 1, and the update response 1 carries the updated configuration data of NF_B#1;
  • NF_B#1 receives update response 1, and updates and validates the configuration data of NF_B#1;
  • NRF updates NF_B#2 configuration data according to the status of NF_B#2;
  • the NRF returns an update response 2, and the update response 2 carries the updated configuration data of NF_B#2;
  • NF_B#2 receives update response 2, and updates and validates the configuration data of NF_B#2;
  • NF_B#3 initiates an update request 3 to NRF
  • NRF updates NF_B#3 configuration data according to the status of NF_B#3;
  • the NRF returns an update response 3, which carries the updated configuration data of NF_B#3;
  • NF_B#3 receives update response 3, and updates and validates the configuration data of NF_B#3;
  • NRF can monitor the status of NF instances to achieve dynamic deployment of service resource pools.
  • UPF_3 can update the operating information of UPF_3 to NRF in real time. If the number of connected terminal devices of UPF_3 doubles, NRF can allocate a new UE address segment to UPF_3 according to the operating information of UPF_3. It can be seen that in the network self-optimization scenario, the network configuration method described in the embodiments of this application can periodically monitor the status of NF instances, achieve dynamic deployment of service resource pools, maximize resource utilization efficiency, save operating costs, and improve operation and maintenance. efficient.
  • An embodiment of the present application provides a schematic structural diagram of a network configuration device.
  • the network configuration device 900 can be used to implement the network configuration method described in the embodiment of the present application.
  • the network configuration device 900 may include:
  • the receiving unit 901 is configured to receive information of the first network function instance from the first network function instance;
  • the processing unit 902 is configured to determine configuration data of the first network function instance from the network configuration data according to the information of the first network function instance, where the network configuration data includes parameters for configuring multiple network function instances ;
  • the sending unit 903 is configured to send configuration data of the first network function instance to the first network function instance.
  • the receiving unit 901 is further configured to:
  • processing unit 902 is specifically configured to:
  • the configuration data of the first network function instance corresponding to the configuration model of the first network function instance is determined.
  • processing unit 902 is specifically configured to:
  • the configuration model of the first network function instance is generated according to the static model of the first network configuration model, where the static model includes a public configuration model or an independent configuration model, and the public configuration model is used to configure the first network function instance.
  • a network configuration object concentrates on multiple network function instances, and the common configuration model is used to configure a type of network function instance corresponding to the first network function instance;
  • the configuration model of the first network function instance is generated according to the dynamic model of the first network configuration model, where the dynamic model is characterized as a dynamic allocation rule of a resource pool.
  • the dynamic allocation rule is used to instruct the dynamic allocation of the resource pool according to a network state
  • the network state includes any one or more of the following:
  • the number of network nodes is the number of network nodes
  • the status of the network node is the status of the network node.
  • the parameters used to configure multiple network function instances include configuration parameters of the first network configuration object set.
  • the receiving unit 901 is specifically configured to: receive a registration request message from the first network function instance, where the registration request message includes the information of the first network function instance;
  • the sending unit 903 is specifically configured to send a registration response message to the first network function instance, where the registration response message includes configuration data of the first network function instance.
  • the sending unit 903 is further configured to:
  • a first message is sent to the network function management instance, where the first message is used to update the topological connection relationship between the registered network function instances.
  • the receiving unit 901 is further configured to: receive a second message of the first network function instance, where the second message is used to request to update the configuration data of the first network function instance;
  • the processing unit 902 is further configured to: determine the updated configuration data of the first network function instance according to the operation information of the first network function instance, where the operation information of the first network function instance includes information about the first network function instance state;
  • the sending unit 903 is further configured to send a response message of the second message to the first network function instance, where the response message includes the updated configuration data of the first network function instance.
  • the information of the first network function instance includes any one or more of the following:
  • the parameter set of the first network function instance is the parameter set of the first network function instance.
  • FIG. 10 is a schematic structural diagram of another network configuration device provided by an embodiment of the present application.
  • the device may be a network storage function example or a device (such as a chip) with a network configuration function.
  • the network configuration apparatus 1000 may include a communication interface 1001, at least one processor 1002, and a memory 1003. Wherein, the communication interface 1001, the processor 1002, and the memory 1003 may be connected to each other through one or more communication buses, or may be connected in other ways.
  • the communication interface 1001 can be used to send data and/or signaling, and receive data and/or signaling. It can be understood that the communication interface 1001 is a general term and may include one or more interfaces. For example, it includes the interface between the network configuration device and other devices.
  • the processor 1002 may be configured to process data and/or signaling sent by the communication interface 1001, or process data and/or signaling received by the communication interface 1001. For example, the processor 1002 may call the program code stored in the memory 1003, and implement the communication process through the communication interface 1001.
  • the processor 1002 may include one or more processors.
  • the processor 1002 may be one or more central processing units (CPU), network processors (NP), hardware chips, or any combination thereof .
  • the processor 1002 is a CPU
  • the CPU may be a single-core CPU or a multi-core CPU.
  • the memory 1003 is used to store program codes and the like.
  • the memory 1003 may include a volatile memory (volatile memory), such as random access memory (random access memory, RAM); the memory 1003 may also include a non-volatile memory (non-volatile memory), such as a read-only memory (read-only memory). Only memory (ROM), flash memory (flash memory), hard disk drive (HDD), or solid-state drive (SSD); the memory 1003 may also include a combination of the foregoing types of memories.
  • volatile memory volatile memory
  • RAM random access memory
  • non-volatile memory such as a read-only memory (read-only memory).
  • SSD solid-state drive
  • the above-mentioned communication interface 1001 and the processor 1002 can be used to implement the network configuration method in the embodiments shown in FIG. 4, FIG. 6, FIG. 7 and FIG. step:
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • the configuration data of the first network function instance corresponding to the configuration model of the first network function instance is determined.
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • the configuration model of the first network function instance is generated according to the static model of the first network configuration model, where the static model includes a public configuration model or an independent configuration model, and the public configuration model is used to configure the first network function instance.
  • a network configuration object concentrates on multiple network function instances, and the independent configuration model is used to configure a network function instance of a type corresponding to the first network function instance;
  • the configuration model of the first network function instance is generated according to the dynamic model of the first network configuration model, where the dynamic model is characterized as a dynamic allocation rule of a resource pool.
  • the dynamic allocation rule is used to instruct the dynamic allocation of the resource pool according to a network state
  • the network state includes any one or more of the following:
  • the number of network nodes is the number of network nodes
  • the status of the network node is the status of the network node.
  • the parameters used to configure multiple network function instances include configuration parameters of the first network configuration object set.
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • a registration response message is sent to the first network function instance through the communication interface 1001, where the registration response message includes the configuration data of the first network function instance.
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • a first message is sent to the network function management instance, where the first message is used to update the topological connection relationship between the registered network function instances.
  • the processor 1002 calls the code in the memory 1003, and may also perform the following steps:
  • a response message of the second message is sent to the first network function instance through the communication interface 1001, where the response message includes the updated configuration data of the first network function instance.
  • the information of the first network function instance includes any one or more of the following:
  • the parameter set of the first network function instance is the parameter set of the first network function instance.
  • the embodiment of the present application provides a communication system.
  • the communication system includes a network storage function instance 1101 and a first network function instance 1102.
  • the network storage function instance 1101 can be used to implement the network configuration method provided in the foregoing embodiment.
  • the first network function instance 1102 is used to send information of the first network function instance to the network storage function instance 1101, and is also used to receive configuration data from the network storage function instance 1101, where the configuration data is used to configure the first network function Instance.
  • the network storage function instance 1101 is specifically used for:
  • the network storage function instance 1101 is also used to:
  • the network storage function instance 1101 is specifically used for:
  • the configuration data of the first network function instance corresponding to the configuration model of the first network function instance is determined.
  • the network storage function instance 1101 is specifically used for:
  • the configuration model of the first network function instance is generated according to the static model of the first network configuration model, where the static model includes a public configuration model or an independent configuration model, and the public configuration model is used to configure the first network function instance.
  • a network configuration object concentrates on multiple network function instances, and the independent configuration model is used to configure a network function instance of a type corresponding to the first network function instance;
  • the configuration model of the first network function instance is generated according to the dynamic model of the first network configuration model, where the dynamic model is characterized as a dynamic allocation rule of a resource pool.
  • the dynamic allocation rule is used to instruct the dynamic allocation of the resource pool according to a network state
  • the network state includes any one or more of the following:
  • the number of network nodes is the number of network nodes
  • the status of the network node is the status of the network node.
  • the parameters used to configure multiple network function instances include configuration parameters of the first network configuration object set.
  • the network storage function instance 1101 is specifically used for:
  • the network storage function instance 1101 is also used to:
  • a first message is sent to the network function management instance, where the first message is used to update the topological connection relationship between the registered network function instances.
  • the network storage function instance 1101 is also used to:
  • the information of the first network function instance includes any one or more of the following:
  • the parameter set of the first network function instance is the parameter set of the first network function instance.
  • the communication system further includes a network function management instance 1103.
  • the network function management instance 1103 is used to send network configuration data to the network storage function instance.
  • the embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium includes a program or instruction, when the program or instruction runs on a computer, the computer executes the determination of the safe speed in the above method embodiment method.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a high-density digital video disc (Digital Video Disc, DVD)), or a semiconductor medium (for example, a solid state disk (Solid State Disk, SSD)) etc.

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Abstract

本申请实施例公开了一种网络配置方法及装置,可以应用于5G网络系统中。网络存储功能实例根据接收到的第一网络功能实例的信息,以及其存储的网络配置数据,从网络配置数据中确定所述第一网络功能实例的配置数据,并将所述第一网络功能实例的配置数据发送给第一网络功能实例。该网络配置方法可以降低人工配置的工作量,实现网络配置智能化。

Description

一种网络配置方法及装置
本申请要求于2020年2月28日提交中国专利局、申请号为202010127670.5、申请名称为“一种网络配置方法及装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域,尤其涉及一种网络配置方法及装置。
背景技术
为了快速地支持业务创新,满足多样性的业务质量要求,提高通信系统的灵活性、可扩展性和部署速度,第五代移动通信(the 5 th generation,5G)网络引入了新技术、新架构,例如网络功能虚拟化(network function virtualization,NFV)、原生云计算(cloud native)、网络切片(network slice)等。因此,5G网络架构较之传统网络架构将会变得更加复杂,网络架构的调整也会变得更加频繁。目前5G网络架构的调整多采用人工配置管理方式,该方式存在工作量大,运维成本高等问题。
发明内容
本申请实施例提供一种网络配置方法及装置,该网络配置方法可以降低人工配置的工作量,实现网络配置智能化。
第一方面,本申请实施例提供一种网络配置方法,该方法可以由网络存储功能实例所执行。其中,网络存储功能实例接收来自第一网络功能实例的所述第一网络功能实例的信息;再根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数。确定所述第一网络功能实例的配置数据后,网络存储功能实例向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
可见,网络存储功能实例根据接收到的第一网络功能实例的信息,以及其存储的网络配置数据,可以实现网络配置数据到第一网络功能实例的配置数据的映射,从而确定第一网络功能实例的配置数据。该网络配置方法不需要人工配置,可以实现网络配置智能化。
在一种可能的设计中,网络存储功能实例接收来自网络功能管理实例的所述网络配置数据。其中,所述网络配置数据可以是网络功能管理实例向网络存储功能实例发送的,网络存储功能实例可以存储所述网络配置数据。
在一种可能的设计中,网络存储功能实例根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集。根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型。确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。可见,网络存储功能实例可以通过网络配置模型实现网络配置数据到第一网络功能实例的配置数据的映射。
在一种可能的设计中,网络存储功能实例在根据第一网络配置模型生成所述第一网络功能实例的配置模型时,可以根据所述第一网络配置模型的静态模型生成所述第一网络功 能实例的配置模型;或者,可以根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型。其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述独立配置模型用于配置所述第一网络功能实例对应类型的网络功能实例。其中,所述动态模型表征为资源池的动态分配规则。可见,网络存储功能实例可以通过静态映射或者动态映射的方式实现网络配置数据到第一网络功能实例的配置数据的映射,使得网络存储功能实例可以更灵活地确定所述第一网络功能实例的配置数据。
在一种可能的设计中,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
网络节点的数量;
网络节点的状态。
在一种可能的设计中,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
在一种可能的设计中,网络存储功能实例可以接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息。可见,所述第一网络功能实例的信息可以携带于第一网络功能实例的注册请求消息中,由第一网络功能实例发送至网络存储功能实例。
在一种可能的设计中,网络存储功能实例可以向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。可见,所述第一网络功能实例的配置数据可以携带于注册响应消息中,由网络存储功能实例发送至第一网络功能实例。
在一种可能的设计中,若已完成所述第一网络功能实例的注册,网络存储功能实例可以向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。可见,网络存储功能实例可以结合拓扑感知功能实现网络配置数据到所述第一网络功能实例的配置数据的映射,即网络存储功能实例可以实现网络扩容和网络动态弹性场景下的自动配置调整。
在一种可能的设计中,网络存储功能实例接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。可见,当第一网络功能实例的运行状态发生变化时,网络存储功能实例可以根据第一网络功能实例的运行信息灵活地调整所述第一网络功能实例的配置数据,实现网络自优化场景的自动配置调整,提高资源利用效率,提高运维效率。
在一种可能的设计中,所述第一网络功能实例的信息包括以下任意一个或多个:
所述第一网络功能实例的标识ID;
所述第一网络功能实例的参数集profile;
所示第一网络功能实例集合的ID。
在一种可能的设计中,所述网络配置方法由网络存储功能实例执行。
第二方面,本申请实施例提供一种网络配置装置,包括:
接收单元,用于接收来自第一网络功能实例的所述第一网络功能实例的信息;
处理单元,用于根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
发送单元,用于向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
在一种可能的设计中,所述接收单元还用于接收来自网络功能管理实例的所述网络配置数据。
在一种可能的设计中,所述处理单元在根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据时,具体用于:
根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
在一种可能的设计中,所述处理单元在根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型时,具体用于:
根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述独立配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
在一种可能的设计中,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
网络节点的数量;
网络节点的状态。
在一种可能的设计中,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
在一种可能的设计中,所述接收单元在接收来自第一网络功能实例的所述第一网络功能实例的信息时,具体用于:
接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
所述发送单元在所述向所述第一网络功能实例发送所述第一网络功能实例的配置数据时,具体用于:
向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
在一种可能的设计中,所述发送单元还用于:
若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。
在一种可能的设计中,所述接收单元还用于接收所述第一网络功能实例的第二消息,所第二消息用于请求更新所述第一网络功能实例的配置数据;
所述处理单元还用于根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
所述发送单元还用于向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
在一种可能的设计中,所述第一网络功能实例的信息包括以下任意一个或多个:
所述第一网络功能实例的标识ID;
所述第一网络功能实例的参数集profile;
所述第一网络功能实例集合的ID。
在一种可能的设计中,所述网络配置装置为网络存储功能实例。
第三方面,本申请实施例提供一种网络配置装置,该网络配置装置包括处理器,用于实现上述第一方面中所涉及的功能或方法,该网络配置装置。在一种可行的实现方式中,所述网络配置装置还包括存储器,所述存储器,用于保存实现上述第一方面所述方法的功能必要的程序指令和数据。
第四方面,本申请实施例提供一种通信系统,该通信系统包括上述第三方面提供的网络配置装置。该通信系统还包括第一网络功能实例;所述第一网络功能实例用于向所述网络存储功能实例发送所述第一网络功能实例的信息;所述第一网络功能实例还用于接收来自所述网络存储功能实例的所述第一网络功能实例的配置数据。
在一种可能的设计中,所述通信系统还包括网络功能管理实例;所述网络功能管理实例用于向所述第一网络功能实例发送所述网络配置数据。
第五方面,本申请实施例提供一种计算机可读存储介质,该计算机可读存储介质包括程序或指令,当所述程序或指令在计算机上运行时,使得计算机执行第一方面或第一方面中任一种可能实现方式中的方法。
上述方面中的芯片系统可以是片上系统(system on chip,SOC),也可以是基带芯片等,其中基带芯片可以包括处理器、信道编码器、数字信号处理器、调制解调器和接口模块等。
第六方面,本申请实施例提供一种芯片或者芯片系统,该芯片或者芯片系统包括至少一个处理器和接口,接口和至少一个处理器通过线路互联,至少一个处理器用于运行计算机程序或指令,以进行第一方面或第一方面的任一种可能的实现方式中任一项所描述的方法。
其中,芯片中的接口可以为输入/输出接口、管脚或电路等。
在一种可能的实现中,本申请中上述描述的芯片或者芯片系统还包括至少一个存储器,该至少一个存储器中存储有指令。该存储器可以为芯片内部的存储单元,例如,寄存器、缓存等,也可以是该芯片的存储单元(例如,只读存储器、随机存取存储器等)。
第七方面,本申请实施例提供一种计算机程序产品,该计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机指令时,全部或部分地产生本申请实施 例所述的网络配置方法的流程或功能。
附图说明
为了更清楚地说明本申请实施例中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍。
图1为本申请实施例提供的一种网络架构的示意图;
图2为本申请实施例提供的一种开放管理功能架构的示意图;
图3a为本申请实施例提供的一种初始建网场景的示意图;
图3b为本申请实施例提供的一种网络扩容场景的示意图;
图3c为本申请实施例提供的一种网络自优化场景的示意图;
图4为本申请实施例提供的一种网络配置方法的流程示意图;
图5a为本申请实施例提供的一种静态模型的示意图;
图5b为本申请实施例提供的一种动态模型的示意图;
图6为本申请实施例提供的一种网络配置方法应用于初始建网场景的流程示意图;
图7为本申请实施例提供的一种网络配置方法应用于网络扩容场景的流程示意图;
图8为本申请实施例提供的一种网络配置方法应用于网络自优化场景的流程示意图;
图9为本申请实施例提供的一种网络配置装置的结构示意图;
图10为本申请实施例提供的另一种网络配置装置的结构示意图;
图11为本申请实施例提供的一种通信系统的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行描述。
为了快速地支持业务创新,满足多样性的业务质量要求,提高通信系统的灵活性、可扩展性和部署速度,第五代移动通信(the 5 th generation,5G)网络引入了新技术、新架构,例如网络功能虚拟化(network function virtualization,NFV)、原生云计算(cloud native)、网络切片(network slice)等。因此,5G的网络架构变得更加复杂。请参见图1,图1为本申请实施例提供的一种5G网络架构,在该网络架构中,各种类型的终端设备(如智能手机、智能汽车、智能手表等)可以通过接入网设备接入5G核心网。其中,5G核心网采用分布式的网络结构,可以包括多个功能实例,例如网络功能管理(network function management function,NFMF)实例、网络存储功能(network repository function,NRF)实例和网络功能(network function,NF)实例等。需要注意的是,本申请实施例所述的网络功能实例可以是指代一个网元,例如,NF实例是指接入和移动性管理网元(access management function,AMF),或者是指会话管理网元(session management function,SMF),又或者是指用户平面功能网元(user plane function,UPF)等。多个NF实例可以构成NF实例的集合,其中,NF实例的集合可以是相同类型的NF实例构成的集合。例如,NF实例的集合可以是指多个AMF的集合,该NF实例的集合可以包括AMF1、AMF2和AMF3等。NF实例的集合也可以是有业务相关性的不同类型的网元构成的集合,例如,NF实例的集合是指SMF和UPF构成的集合,该集合可以包括SMF1、SMF2、SMF3和UPF1、UPF2等。其中,AMF主要支持终端的注册管理、连接性管理以及移动性管理等功能。SMF主要 支持会话的建立,修改和释放等功能,SMF还负责用户设备(user equipment,UE)网络协议(internet protocol,IP)地址的分配和管理,SMF还支持UPF的选择和控制、UPF和接入节点(access node,AN)之间的隧道维护等功能。UPF主要负责数据报文的分组路由和转发。
可选的,本申请实施例所述的NF实例还可以包括鉴权服务器功能网元(authentication server function,AUSF),统一数据管理网元(unified data management,UDM),策略控制网元(policy control function,PCF)以及网络切片选择网元(network slice selection function,NSSF),计费功能模块(charging function,CHF),网络开放功能(network exposure function,NEF)和网络数据分析功能(network data analytics function,NWDAF)等。其中,AUSF用于支持用户的接入认证。UDM支持用户的签约管理、NF的注册管理以及认证处理等功能。PCF支持统一的策略框架来管理网络行为。NSSF主要负责为终端设备选择切片实例。CHF用于用户的计费管理。NEF用于使NF实例通过NEF向其他NF实例公开功能和事件。NWDAF主要用于网络切片相关数据的分析。可见,5G网络架构较之传统网络架构变得更加复杂,对5G网络架构的管理也变得更加复杂。
其中,图1所示的5G网络架构中的NFMF实例用于负责NF实例的配置管理、故障管理和性能管理等。具体的,NFMF可以通过开放管理功能(exposure governance management function,EGMF)框架,提供人机界面给运维人员,以使运维人员可以对指定的NF实例进行配置管理、故障管理和性能管理等。请参见图2,图2为一种EGMF框架,通过该EGMF框架,运维人员可以通过人机界面输入控制指令,通过控制指令实现对NF实例的管理。例如,运维人员可以输入配置控制指令,再通过所述配置控制指令对NF实例进行配置管理。又例如,运维人员可以输入故障控制指令,再通过所述故障控制指令对NF实例进行故障管理。可见,目前5G网络架构的调整多采用人工配置管理方式,该方式无法有效降低配置管理的工作量,也难以满足业务快速发展变化的需要。
为了解决上述问题,本申请实施例提供一种网络配置方法及装置,该网络配置方法可以应用于5G网络架构中。该网络配置方法不需要人工配置,可以实现网络配置智能化。
需要说明的是,5G网络架构是本申请实施例应用的架构之一,本申请实施例还可以应用于3G、4G或者下一代如6G网络的架构中,应用的网络架构不构成对本申请的限定。
请参见图3a,图3a为本申请实施例提供的一种网络配置方法的应用场景。图3a所示的应用场景为初始建网场景,该场景中包括NFMF实例、NRF实例、NF实例等。其中,图3a所示的初始建网场景采用SMF/UPF Fullmesh初始建网以及AMF POOL初始建网,有利于网络扩容以及提升整个网络的健壮性与弹性。其中,NF实例的集合包括AMF_1、AMF_2、SMF_1、SMF_2、UPF_1和UPF_2,连接关系如图3a所示。其中,AMF_1和AMF_2采用AMF POOL组网,SMF_1、SMF_2、UPF_1和UPF_2采用SMF/UPF Fullmesh组网。UPF_1和UPF_2可以与数据网络(data network,DN)相连接。在图3a所示的场景中,NRF接收NF实例的信息,根据NF实例的信息从NRF中的网络配置数据中确定NF实例的配置数据,能够实现初始建网场景下网络配置智能化。
在一种示例中,请参见图3b,图3b为本申请实施例提供的另一种网络配置方法的应用场景。图3b所示的应用场景为网络扩容场景,该网络扩容场景在图3a所示的初始建网 场景中新增NF实例,例如,增加了AMF_3和SMF_3。在图3b所示的网络扩容场景下,当新扩容的AMF_3和SMF_3向NRF发起注册时,NRF根据网络配置数据生成对应的NF实例的配置数据,然后分发给新扩容的NF实例,可以自动完成配置复制,无需人工配置。
在一种示例中,请参见图3c,图3c为本申请实施例提供的另一种网络配置方法的应用场景。图3c所示的应用场景为网络自优化场景,在该网络自优化场景中,随着终端设备和会话的增长,NRF可以根据NF实例的运行信息更新所述NF实例的配置数据,提高资源利用率,提升运维效率。
需要注意的是,上述图3a至图3c所示的实施例中只是以AMF、SMF和UPF为例进行说明,该实施例所述的NF实例还可以包括例如UDM、PCF、NSSF、AUSF、CHF、NWDAF及NEF等,上述NF实例都可以采用本申请实施例所述的网络配置方法,以实现高效的网络配置。
下面将结合具体的实施例进行描述。
本申请实施例提供一种网络配置方法,请参见图4。该网络配置方法可以由网络存储功能实例所执行,包括以下步骤:
S401,网络存储功能实例接收来自第一网络功能实例的所述第一网络功能实例的信息。
第一网络功能实例可以向NRF发送所述第一网络功能实例的信息,以使NRF确定该第一网络功能实例上线,可以对该第一网络功能实例进行配置管理。其中,所述第一网络功能实例可以是一个网元,例如,所述第一网络功能实例为图3b所示的新增网元AMF_3,本申请实施例不作限定。
第一网络功能实例的信息用于指示所述第一网络功能实例的相关参数,具体的,所述第一网络功能实例的信息可以包括但不限于所述第一网络功能实例的标识(NF instance ID),所述第一网络功能实例的参数集(NF profile)等。其中,第一网络功能实例的标识用于区分不同的网络功能实例,例如,图3a所示的初始建网场景下,若第一网络功能实例构成的集合包括AMF_1、AMF_2和AMF_3,对应的NF instance ID分别为NF_A1、NF_A2和NF_A3。又例如,若第一网络功能实例构成的集合包括SMF_1和UPF_1,对应的NF instance ID分别为NF_B1和NF_B2。第一网络功能实例的参数集包括了第一网络功能实例的类型、状态、IP地址、优先级等公有参数,NRF可以根据第一网络功能实例的参数集中的内容,对第一网络功能实例进行配置管理。可选的,对于不同类型的第一网络功能实例,所述第一网络功能实例的参数集还可以包括不同类型的独立参数。例如,所述第一网络功能实例的参数集还可以包括AMF类型的独立参数(AMF Info),或者还包括SMF类型的独立参数(SMF Info)。可选的,当存在NF实例的集合时,该NF实例的集合对应的网络功能实例的参数集还包括NF实例的集合的相关参数。例如,NF实例的集合对应的网络功能实例的参数集还包括NF实例的集合的标识(NF set ID)。
在一种示例中,第一网络功能实例的信息可以携带在第一网络功能实例的注册请求消息中。那么S401中网络存储功能实例接收来自第一网络功能实例的所述第一网络功能实例的信息的步骤可以为:网络存储功能实例接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息。其中,当有NF实例向NRF进行注册时,NRF可以接收到来自NF实例的注册请求消息。例如,在图3b所示的网络扩容场景 中,NRF可以接收到来自AMF_3的注册请求消息,该注册请求消息用于通知NRF有AMF_3注册上线,该注册请求消息中包括AMF_3的信息,如AMF_3的NF instance ID、类型、状态、IP地址等。
S402,网络存储功能实例根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据。
S403,网络存储功能实例向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
NRF用于维护NF实例的实时信息,可视之为NF实例的实时仓库,支持NF实例向NRF注册、更新、去注册及发现。例如,NF实例可以向NRF发送注册请求消息以向NRF注册。为了实现网络配置的智能化,管理面(NFMF)将网络配置数据下发给NRF,由NRF实现网络配置数据到NF实例的配置数据的映射,从而实现从网络配置数据中确定第一网络功能实例的配置数据。其中,网络配置数据为NFMF发送给NRF的数据,所述网络配置数据可以包括但不限于网络配置对象集、网络配置模型、网络功能实例的配置模型,以及网络配置模型和网络功能实例的配置模型的映射关系模型。
其中,网络配置对象集是由多个相同类型的NF实例组成,或者是由具有业务相关性的不同类型的NF实例抽象组成的。例如,对于相同类型的NF实例,如图3a所示的初始建网场景中的SMF_1和SMF_2,可以将SMF_1和SMF_2组成一个网络配置对象集1。网络配置对象集1中包括了SMF类型的配置参数。又例如,对于具有业务相关性的不同类型的NF实例,如图3a所示的初始建网场景中的SMF_1和UPF_1,可以将SMF_1和UPF_1抽象组成一个网络配置对象集2,网络配置对象集2中包括了SMF类型和UPF类型的配置参数,以及SMF和UPF业务相关的配置参数(如session相关的配置参数等)。需要注意的是,一个NF实例可能归属于多个网络配置对象集。为了确定NF实例属于哪一个网络配置对象集,NRF可以通过配置Set ID,并结合NF实例的信息,来指定该NF实例属于哪一个网络配置对象集。例如,图3a所示的初始建网场景中的SMF_1可以属于网络配置对象集1和网络配置对象集2。
为了支持基于NRF的网络动态配置,NRF上还存储了网络配置模型,网络功能实例的配置模型,以及网络配置模型和网络功能实例的配置模型的映射关系模型。其中,网络配置模型和网络功能实例的配置模型的映射关系模型包括静态模型和动态模型。请参见图5a,图5a为网络配置模型的静态模型的一种示意图,其中,网络配置模型可以包括一个或多个NF实例(如图5a中的NF_A和NF_B),以及各个NF实例的公共配置模型和/或独立配置模型。其中,公共配置模型用于配置多种类型的NF实例,包括NF实例的公有参数(例如NF_A和NF_B的公有参数)等;独立配置模型用于配置对应类型的NF实例,包括不同NF实例的独立配置参数(例如NF_A的独立参数,NF_B的独立参数)等。例如,如图5a所示,NF_A可以根据网络配置模型的静态模型,确定对应的NF_A的配置模型。其中,根据所述NF_A的配置模型,可以确定NF_A的配置数据。所述NF_A的配置模型包括NF_A和NF_B的公有参数,以及NF_A的独立参数。类似的,NF_B可以根据网络配置模型的静态模型,确定对应的NF_B的配置模型。其中,根据所述NF_B的配置模型,可以确定NF_B的配置数据。所述NF_B的配置模型包括NF_A和NF_B的公有参数,以及NF_B的独立 参数。可以理解的是,图5a所示的网络配置模型,NF_A的配置模型以及NF_B的配置模型均可以以表格的形式存储于NRF中,其中,一种网络配置模型如表1所示。举例来说,假设表1中所述的NF_A为SMF,NF_B为UPF,那么表1可以如下所示。
表1:网络配置模型
Figure PCTCN2021077850-appb-000001
需要注意的是,上述表1仅为一种示例,网络配置模型还可以是其他实现方式,本申请实施例不作限定。
可选的,NRF根据网络配置模型的静态模型,确定对应的NF_A的配置数据的步骤可以包括:从网络配置模型对应的表1中取NF_A和NF_B的公有参数以及NF_A的独立参数构成NF_A的配置数据,如表2所示。
表2:NF_A的配置数据
Figure PCTCN2021077850-appb-000002
例如,所述NF_A的配置数据包括上述表2中的accessType,表示SMF的接口类型为类型1。需要注意的是,上述表2仅为一种示例,网络功能实例的配置模型还可以是其他实现方式,本申请实施例不作限定。
类似的,NRF根据网络配置模型的静态模型,确定对应的NF_B的配置模型的步骤可以包括:从网络配置模型对应的表1中取NF_A和NF_B的公有参数以及NF_B的独立参数构成NF_B的配置数据,如表3所示。
表3:NF_B的配置数据
Figure PCTCN2021077850-appb-000003
需要注意的是,上述表3仅为一种示例,网络功能实例的配置模型还可以是其他实现方式,本申请实施例不作限定。
可选的,请参见图5b,图5b为网络配置模型的动态模型的一种示意图,其中,所述动态模型表征为资源池的动态分配规则。其中,所述资源池包括已分配的资源和待分配的资源,以及对应的动态分配规则。例如,所述已分配的资源可以包括已经分配给NF_A的S-NSSAI的编号。所述动态分配规则用于指示NRF根据网络状态进行资源池的动态分配。其中,网络状态可以包括但不限于网络节点的数量,网络节点的状态等。其中,网络节点 的数量用于指示当前网络接入的NF实例的数量,可以使NRF实时感知网络拓扑的变化情况。网络节点的状态用于指示某一NF实例当前的状态,例如,指示该NF实例当前为在线状态或离线状态,指示该NF实例当前的负载(例如会话数量等),本申请实施例不作限定。具体的,NRF根据网络配置模型的动态模型生成网络功能实例的配置模型的过程可以包括以下步骤:
s11,NRF根据网络状态,确定已分配的资源和待分配的资源;
s12,NRF根据NF实例的信息以及所述待分配的资源,生成所述NF实例的配置模型。
其中,根据NF实例的配置模型可以确定该NF实例的配置数据。NF实例的配置数据承载在应用程序接口(application programming interface,API)上,例如承载在Nnrf_NFManagement接口上,该API可以与NF实例相连接,如图5b所示。
在一种示例中,网络存储功能实例根据所述第一网络功能实例的信息,以及网络配置对象集,可以确定所述第一网络功能实例的配置数据。那么S402可以包括以下步骤:
网络存储功能实例根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
网络存储功能实例根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
网络存储功能实例确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
举例来说,在图3a所示的初始建网场景中,假设第一网络功能实例为SMF_1。NRF确定的第一网络配置对象集包括了SMF_1和UPF_1。若NRF根据第一网络配置模型的静态模型生成第一网络功能实例的配置模型,则公共配置模型就是SMF_1和UPF_1的公有参数,独立配置模型就是SMF_1的独立参数。可选的,若第一网络配置对象集包括了SMF_1和SMF_2,则公共配置模型用于配置SMF_1和SMF_2,独立配置模型用于配置SMF_1。根据SMF_1的独立配置模型和公共配置模型,可以确定SMF_1的配置数据。
在一种示例中,NRF在确定第一网络功能实例的配置数据之后,可以向所述第一网络功能实例发送其对应的配置数据。例如,NRF可以通过Nnrf_NFManagement接口向第一网络功能实例发送其对应的配置数据,如图5b所示。可选的,NRF接收到的来自第一网络功能实例的信息是携带在第一网络功能实例发送的注册请求消息中,那么NRF可以将第一网络功能实例的配置数据携带在注册响应消息中,发送给所述第一网络功能实例。例如,在图3a所示的初始建网场景中,NRF接收来自SMF_1的注册请求消息。NRF确定SMF_1的配置数据后,可以向SMF_1发送注册响应消息,所述注册响应消息包括SMF_1的配置数据。
在一种示例中,若已完成所述第一网络功能实例的注册,NRF可以向NFMF发送第一消息,所述第一消息用于更新已注册NF实例之间的拓扑连接关系。其中,NF实例会定时或通过事件触发向NRF发起更新,所述更新动作包括新增、回收、重新指派等。例如,在图3a所示的初始建网的场景中,当所有的NF实例均完成注册和配置生效后,NRF可以感知网络拓扑,并将网络拓扑信息发送给NFMF。又例如,在图3b所示的网络扩容的场景中,新注册的NF实例(如SMF_3)完成注册和配置生效后,NRF需要更新网络拓扑信息,并 将更新后的网络拓扑信息发送给NFMF。
在一种示例中,网络中已注册和配置生效的NF实例由于状态的变化,例如,负载加重,而需要对该NF实例的配置数据进行更新。那么,该NF实例可以向NRF发送第二消息,所述第二消息用于请求更新该NF实例的配置数据。具体的,NRF对请求更新配置数据的NF实例的处理可以包括以下步骤:
s21,接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
s22,根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
s23,向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
举例来说,在图3c所示的网络自优化场景中,假设第一网络功能实例为UPF_1。其中,UPF_1的运行信息指示UPF_1的负载增加了一倍。UPF_1向NRF发送第二消息,用于请求更新UPF_1的配置数据。NRF根据UPF_1的运行信息,为UPF_1增加可使用的业务资源。然后NRF向UPF_1发送第二消息的响应消息,该响应消息中携带UPF_1新增的可使用的业务资源。例如,对于UPF_1,已分配的资源包括sNssaiUpfInfoList为1-8。若UPF_1请求增加的是sNssaiUpfInfoList中的数量,UPF_1更新后业务资源池可以包括UPF_1的sNssaiUpfInfoList为1-10,即UPF_1的sNssaiUpfInfoList由1-8增加为1-10。
可选的,NRF通过更新相应接口完成NF配置数据刷新。其中,NF配置数据承载在Nnrf_NFManagement接口上。例如,NRF可以通过更新Nnrf_NFManagement接口,向第一网络功能实例发送其对应的配置数据,以实现通过更新Nnrf_NFManagement接口完成NF配置数据刷新。
需要说明的是,NFMF主动发起的网络配置数据更新也可以通过NRF更新接口完成NF配置数据刷新。例如,NFMF更新网络配置数据,更新后的网络配置数据包括更新后的网络配置对象集1和更新后的网络配置对象集2。若第一网络功能实例属于网络配置对象集2,并且网络配置对象集2更新后,第一网络功能实例对应的配置数据也需要更新,那么NRF可以通过更新Nnrf_NFManagement接口,向第一网络功能实例发送其更新后的配置数据,以实现通过更新Nnrf_NFManagement接口完成NF配置数据刷新。
可见,本申请实施例提供一种网络配置方法及装置,该网络配置方法由NRF所执行。其中,NRF接收来自第一网络功能实例的所述第一网络功能实例的信息;再根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,然后向所述第一网络功能实例发送所述第一网络功能实例的配置数据。该网络配置方法通过NRF实现网络配置数据到第一网络功能实例的配置数据的映射,从而确定第一网络功能实例的配置数据,不需要人工配置,可以实现网络配置智能化。具体来说,在初始建网的场景中,可以极大的压缩重复配置数据量,做到一次配置全网生效,缩短网络开通的工期。在人工扩容和网络动态弹性的场景中,扩容和网络动态弹性时,可以自动化完成配置复制,基本实现免人工干预。在系统运行时,定时监控NF实例的状态,做到业务资源池的动态调配,实现资源利用效率最大化,节约运营成本,提升运维效率。
下面对本申请实施例提供的网络配置方法应用于如图3a至图3c所示的网络场景中时具体的步骤进行详细的描述。为了便于描述,将AMF类型的NF实例表示为NF_A#1,SMF类型的NF实例表示为NF_B#1,UPF类型的NF实例表示为NF_B#2。其中,NF_A#1归属网络配置对象集1,NF_B#1和NF_B#2归属网络配置对象集2和网络配置对象集3。
请参见图6,图6为本申请实施例所述的网络配置方法应用于图3a所示的初始建网场景中时的具体步骤,包括:
S601,NRF接收来自NFMF的网络配置数据,所述网络配置数据包括网络配置对象集1、网络配置对象集2和网络配置对象集3的配置数据;
S602,NRF保存网络配置数据;
S603,NF_A#1向NRF发起注册请求1;
S604,NRF根据注册请求1和网络配置数据,生成NF_A#1的配置数据;
S605,NRF返回注册响应1,该注册响应1中携带NF_A#1的配置数据;
S606,NF_A#1接收注册响应1,保存并生效NF_A#1的配置数据;
S607,NF_B#1向NRF发起注册请求2;
S608,NRF根据注册请求2和网络配置数据,生成NF_B#1的配置数据;
S609,NRF返回注册响应2,该注册响应2中携带NF_B#1的配置数据;
S610,NF_B#1接收注册响应2,保存并生效NF_B#1的配置数据;
S611,NF_B#2向NRF发起注册请求3;
S612,NRF根据注册请求3和网络配置数据,生成NF_B#2的配置数据;
S613,NRF返回注册响应3,该注册响应3中携带NF_B#2的配置数据;
S614,NF_B#2接收注册响应3,保存并生效NF_B#2的配置数据。
可选的,在S614之后,还可以包括以下步骤:
S615,NRF向NFMF进行拓扑信息同步。
其中,NRF根据注册请求1和网络配置数据,生成NF_A#1的配置数据;或者NRF根据注册请求2和网络配置数据,生成NF_B#1的配置数据;或者NRF根据注册请求3和网络配置数据,生成NF_B#2的配置数据的具体过程均可以参考图4所述的实施例中对S402的具体实现过程的描述。例如,NRF可以根据注册请求1中携带的NF_A#1的信息,确定NF_A#1归属网络配置对象集1。NRF根据网络配置对象集1的网络配置模型1,通过静态模型生成NF_A#1的配置模型。NRF再根据NF_A#1的配置模型确定NF_A#1的配置数据。需要注意的是,上述仅为一种示例,确定NF_A#1的配置数据的方法还可以是通过动态模型,本实施例不作限定。可见,在初始建网的场景中,本申请实施例所述的网络配置方法可以极大的压缩重复配置数据量,做到一次配置全网生效,缩短网络开通的工期。
请参见图7,图7为本申请实施例所述的网络配置方法应用于图3b所示的网络扩容场景中时的具体步骤。为了便于描述,将新增的AMF类型的NF实例表示为NF_A#2,新增的SMF类型的NF实例表示为NF_B#3。
S701,NF_A#2向NRF发起注册请求4;
S702,NRF根据注册请求4和网络配置数据,生成NF_A#2的配置数据;
S703,NRF返回注册响应4,该注册响应4中携带NF_A#2的配置数据;
S704,NF_A#2接收注册响应4,保存并生效NF_A#2的配置数据;
S705,NF_B#3向NRF发起注册请求5;
S706,NRF根据注册请求5和网络配置数据,生成NF_B#3的配置数据;
S707,NRF返回注册响应5,该注册响应5中携带NF_B#3的配置数据;
S708,NF_B#3接收注册响应5,保存并生效NF_B#3的配置数据;
S709,NRF向NFMF进行拓扑信息同步。
其中,在网络扩容的场景下,NRF需要向NFMF进行拓扑信息同步,从而使NFMF也同步更新网络配置数据以及和NF实例的关系。可见,在人工扩容和网络动态弹性的场景中,本申请实施例所述的网络配置方法可以自动化完成配置复制,基本实现免人工干预。
请参见图8,图8为本申请实施例所述的网络配置方法应用于图3c所示的网络自优化场景中时的具体步骤。其中,该场景下的优化为针对网络中的UPF_1、UPF_2和UPF_3的资源分配的优化。需要注意的是,初始建网时,NRF已经按照一定的分配规则将UE地址段分配给了SMF/UPF Fullmesh中所有的UPF。随着终端用户和会话的增长,UPF可以实时向NRF更新UPF的运行信息,NRF可以根据UPF的运行信息分配新的UE地址段给UPF,也可以根据UPF负载信息将空闲的UE地址段进行回收处理。
S801,NF_B#1向NRF发起更新请求1;
S802,NRF根据NF_B#1的状态,更新NF_B#1配置数据,更新动作包括新增、回收、重新指派等;
S803,NRF返回更新响应1,该更新响应1中携带NF_B#1的更新后配置数据;
S804,NF_B#1接收更新响应1,更新并生效NF_B#1的配置数据;
S805,NF_B#2向NRF发起更新请求2;
S806,NRF根据NF_B#2的状态,更新NF_B#2配置数据;
S807,NRF返回更新响应2,该更新响应2中携带NF_B#2的更新后配置数据;
S808,NF_B#2接收更新响应2,更新并生效NF_B#2的配置数据;
S809,NF_B#3向NRF发起更新请求3;
S810,NRF根据NF_B#3的状态,更新NF_B#3配置数据;
S811,NRF返回更新响应3,该更新响应3中携带NF_B#3的更新后配置数据;
S812,NF_B#3接收更新响应3,更新并生效NF_B#3的配置数据;
其中,网络运行过程中,NRF可以监控NF实例的状态,做到业务资源池的动态调配。例如,在图3c所示的网络自优化场景中,UPF_3可以实时向NRF更新UPF_3的运行信息。若UPF_3的接入的终端设备的数量增长了一倍,NRF可以根据UPF_3的运行信息分配新的UE地址段给UPF_3。可见,在网络自优化场景中,本申请实施例所述的网络配置方法可以定时监控NF实例的状态,做到业务资源池的动态调配,实现资源利用效率最大化,节约运营成本,提升运维效率。
以下结合图9至图11详细说明本申请实施例的相关装置及系统。
本申请实施例提供一种网络配置装置的结构示意图,如图9所示,该网络配置装置900可用于实现本申请实施例所述的网络配置方法。该网络配置装置900可以包括:
接收单元901,用于接收来自第一网络功能实例的所述第一网络功能实例的信息;
处理单元902,用于根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
发送单元903,用于向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
在一种实现方式中,接收单元901还用于:
接收来自网络功能管理实例的所述网络配置数据。
在一种实现方式中,处理单元902具体用于:
根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
在一种实现方式中,处理单元902具体用于:
根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述公共配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
在一种实现方式中,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
网络节点的数量;
网络节点的状态。
在一种实现方式中,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
在一种实现方式中,接收单元901具体用于:接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
发送单元903具体用于:向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
在一种实现方式中,发送单元903还用于:
若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。
在一种实现方式中,接收单元901还用于:接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
处理单元902还用于:根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
发送单元903还用于:向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
在一种实现方式中,所述第一网络功能实例的信息包括以下任意一个或多个:
所述第一网络功能实例的标识;
所述第一网络功能实例的参数集。
需要说明的是,图9对应的实施例中未提及的内容以及各个单元执行步骤的具体实现方式可参见图4、图6、图7和图8所示实施例以及前述内容,这里不再赘述。
在一种实现方式中,图9中的各个单元所实现的相关功能可以结合处理器与通信接口来实现。参见图10,图10是本申请实施例提供的另一种网络配置装置的结构示意图,该装置可以为网络存储功能实例或具有网络配置功能的装置(例如芯片)。该网络配置装置1000可以包括通信接口1001、至少一个处理器1002和存储器1003。其中,通信接口1001、处理器1002和存储器1003可以通过一条或多条通信总线相互连接,也可以通过其它方式相连接。
其中,通信接口1001可以用于发送数据和/或信令,以及接收数据和/或信令。可以理解的是,通信接口1001是统称,可以包括一个或多个接口。例如,包括网络配置装置与其他设备之间的接口等。
其中,处理器1002可以用于对通信接口1001发送的数据和/或信令进行处理,或者,对通信接口1001接收的数据和/或信令进行处理。例如,处理器1002可以调用存储器1003中存储的程序代码,通过通信接口1001实现通信过程。处理器1002可以包括一个或多个处理器,例如该处理器1002可以是一个或多个中央处理器(central processing unit,CPU),网络处理器(network processor,NP),硬件芯片或者其任意组合。在处理器1002是一个CPU的情况下,该CPU可以是单核CPU,也可以是多核CPU。
其中,存储器1003用于存储程序代码等。存储器1003可以包括易失性存储器(volatile memory),例如随机存取存储器(random access memory,RAM);存储器1003也可以包括非易失性存储器(non-volatile memory),例如只读存储器(read-only memory,ROM),快闪存储器(flash memory),硬盘(hard disk drive,HDD)或固态硬盘(solid-state drive,SSD);存储器1003还可以包括上述种类的存储器的组合。
上述通信接口1001,处理器1002可以用于实现如图4、图6、图7和图8所示的实施例中的网络配置方法,其中,处理器1002调用存储器1003中的代码,具体执行以下步骤:
接收来自第一网络功能实例的所述第一网络功能实例的信息;
根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
接收来自网络功能管理实例的所述网络配置数据。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述独立配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
在一种实现方式中,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
网络节点的数量;
网络节点的状态。
在一种实现方式中,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
通过通信接口1001接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
通过通信接口1001向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。
在一种实现方式中,处理器1002调用存储器1003中的代码,还可以执行以下步骤:
通过通信接口1001接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
通过通信接口1001向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
在一种实现方式中,所述第一网络功能实例的信息包括以下任意一个或多个:
所述第一网络功能实例的标识;
所述第一网络功能实例的参数集。
本申请实施例提供一种通信系统,如图11所示,该通信系统包括网络存储功能实例1101和第一网络功能实例1102。其中,网络存储功能实例1101可以用于实现上述实施例提供的网络配置方法。第一网络功能实例1102用于向网络存储功能实例1101发送第一网络功能实例的信息,还用于接收来自网络存储功能实例1101的配置数据,所述配置数据用于配置所述第一网络功能实例。
在一种实现方式中,网络存储功能实例1101具体用于:
接收来自第一网络功能实例的所述第一网络功能实例的信息;
根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
在一种实现方式中,网络存储功能实例1101还用于:
接收来自网络功能管理实例的所述网络配置数据。
在一种实现方式中,网络存储功能实例1101具体用于:
根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
在一种实现方式中,网络存储功能实例1101具体用于:
根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述独立配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
在一种实现方式中,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
网络节点的数量;
网络节点的状态。
在一种实现方式中,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
在一种实现方式中,网络存储功能实例1101具体用于:
接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
在一种实现方式中,网络存储功能实例1101还用于:
若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。
在一种实现方式中,网络存储功能实例1101还用于:
接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
在一种实现方式中,所述第一网络功能实例的信息包括以下任意一个或多个:
所述第一网络功能实例的标识;
所述第一网络功能实例的参数集。
在一种实现方式中,通信系统还包括网络功能管理实例1103。网络功能管理实例1103用于向所述网络存储功能实例发送网络配置数据。
本申请实施例还提供一种计算机可读存储介质,该计算机可读存储介质包括程序或指令,当所述程序或指令在计算机上运行时,使得计算机执行上述方法实施例中的安全速度的确定方法。
在上述实施例中,可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时,可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机指令时,全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中,或者从一个计算机可读存储介质向另一个计算机可读存储介质传输,例如,所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(Digital Subscriber Line,DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如,软盘、硬盘、磁带)、光介质(例如,高密度数字视频光盘(Digital Video Disc,DVD))、或者半导体介质(例如,固态硬盘(Solid State Disk,SSD))等。
本领域普通技术人员可以意识到,结合本文中所公开的实施例描述的各示例的单元及算法步骤,能够以电子硬件、计算机软件或者二者的结合来实现,为了清楚地说明硬件和软件的可互换性,在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本申请的范围。
以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本申请揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应以所述权利要求的保护范围为准。

Claims (26)

  1. 一种网络配置方法,其特征在于,包括:
    接收来自第一网络功能实例的所述第一网络功能实例的信息;
    根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
    向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
  2. 根据权利要求1所述的方法,其特征在于,所述方法还包括:
    接收来自网络功能管理实例的所述网络配置数据。
  3. 根据权利要求1所述的方法,其特征在于,所述根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,包括:
    根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
    根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
    确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
  4. 根据权利要求3所述的方法,其特征在于,所述根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型,包括:
    根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述独立配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
    或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
  5. 根据权利要求4所述的方法,其特征在于,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
    网络节点的数量;
    网络节点的状态。
  6. 根据权利要求3或4所述的方法,其特征在于,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
  7. 根据权利要求1所述的方法,其特征在于,所述接收来自第一网络功能实例的所述第一网络功能实例的信息,包括:
    接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
    所述向所述第一网络功能实例发送所述第一网络功能实例的配置数据,包括:
    向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
  8. 根据权利要求7所述的方法,其特征在于,所述方法还包括:
    若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第 一消息用于更新已注册网络功能实例之间的拓扑连接关系。
  9. 根据权利要求1所述的方法,其特征在于,所述方法还包括:
    接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
    根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
    向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
  10. 根据权利要求1所述的方法,其特征在于,所述第一网络功能实例的信息包括以下任意一个或多个:
    所述第一网络功能实例的标识ID;
    所述第一网络功能实例的参数集profile;
    所述第一网络功能实例集合的ID。
  11. 一种网络配置装置,其特征在于,包括:
    接收单元,用于接收来自第一网络功能实例的所述第一网络功能实例的信息;
    处理单元,用于根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据,所述网络配置数据包括用于配置多个网络功能实例的参数;
    发送单元,用于向所述第一网络功能实例发送所述第一网络功能实例的配置数据。
  12. 根据权利要求11所述的装置,其特征在于,所述接收单元还用于接收来自网络功能管理实例的所述网络配置数据。
  13. 根据权利要求11所述的装置,其特征在于,所述处理单元在根据所述第一网络功能实例的信息,从网络配置数据中确定所述第一网络功能实例的配置数据时,具体用于:
    根据所述第一网络功能实例的信息,确定所述第一网络功能实例对应的第一网络配置对象集;
    根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型;
    确定所述第一网络功能实例的配置模型对应的所述第一网络功能实例的配置数据。
  14. 根据权利要求13所述的装置,其特征在于,所述处理单元在根据所述第一网络配置对象集的第一网络配置模型,生成所述第一网络功能实例的配置模型时,具体用于:
    根据所述第一网络配置模型的静态模型生成所述第一网络功能实例的配置模型,其中,所述静态模型包括公共配置模型或独立配置模型,所述公共配置模型用于配置所述第一网络配置对象集中多种网络功能实例,所述公共配置模型用于配置所述第一网络功能实例对应类型的网络功能实例;
    或者,根据所述第一网络配置模型的动态模型生成所述第一网络功能实例的配置模型,其中,所述动态模型表征为资源池的动态分配规则。
  15. 根据权利要求14所述的装置,其特征在于,所述动态分配规则用于指示根据网络状态进行所述资源池的动态分配,所述网络状态包括以下任意一个或多个:
    网络节点的数量;
    网络节点的状态。
  16. 根据权利要求13或14所述的装置,其特征在于,所述用于配置多个网络功能实例的参数包括所述第一网络配置对象集的配置参数。
  17. 根据权利要求11所述的装置,其特征在于,所述接收单元在接收来自第一网络功能实例的所述第一网络功能实例的信息时,具体用于:
    接收来自所述第一网络功能实例的注册请求消息,所述注册请求消息包括所述第一网络功能实例的信息;
    所述发送单元在所述向所述第一网络功能实例发送所述第一网络功能实例的配置数据时,具体用于:
    向所述第一网络功能实例发送注册响应消息,所述注册响应消息包括所述第一网络功能实例的配置数据。
  18. 根据权利要求17所述的装置,其特征在于,所述发送单元还用于:
    若已完成所述第一网络功能实例的注册,向网络功能管理实例发送第一消息,所述第一消息用于更新已注册网络功能实例之间的拓扑连接关系。
  19. 根据权利要求11所述的装置,其特征在于,所述接收单元还用于接收所述第一网络功能实例的第二消息,所述第二消息用于请求更新所述第一网络功能实例的配置数据;
    所述处理单元还用于根据所述第一网络功能实例的运行信息确定更新后的第一网络功能实例的配置数据,所述第一网络功能实例的运行信息包括所述第一网络功能实例的状态;
    所述发送单元还用于向所述第一网络功能实例发送所述第二消息的响应消息,所述响应消息包括所述更新后的第一网络功能实例的配置数据。
  20. 根据权利要求11所述的装置,其特征在于,所述第一网络功能实例的信息包括以下任意一个或多个:
    所述第一网络功能实例的标识ID;
    所述第一网络功能实例的参数集profile;
    所述第一网络功能实例集合的ID。
  21. 一种网络配置装置,其特征在于,包括:至少一个处理器;其中,所述至少一个处理器用于与存储器耦合,并读取所述存储器中存储的计算机指令,根据所述计算机指令执行如权利要求1至10中任一所述的方法步骤。
  22. 一种网络配置装置,其特征在于,用于执行如权利要求1至10中任一项所述方法。
  23. 一种通信系统,其特征在于,包括:
    网络存储功能实例,用于执行如权利要求1至10中任一项所述的网络配置方法;
    第一网络功能实例,用于向所述网络存储功能实例发送所述第一网络功能实例的信息;
    所述第一网络功能实例,还用于接收来自所述网络存储功能实例的配置数据,所述配置数据用于配置所述第一网络功能实例。
  24. 根据权利要求23所述的通信系统,其特征在于,所述通信系统还包括网络功能管理实例;所述网络功能管理实例用于向所述网络存储功能实例发送网络配置数据。
  25. 一种计算机可读存储介质,其特征在于,包括程序或指令,当所述程序或指令在计算机上运行时,如权利要求1至10中任一项所述的方法被执行。
  26. 一种计算机程序产品,其特征在于,包含有计算机可执行指令,所述计算机可执行指令用于使计算机执行如权利要求1至10中任一项所述的方法。
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