CN114143272A - Intention-driven 6G ground network management and control system and method - Google Patents
Intention-driven 6G ground network management and control system and method Download PDFInfo
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Abstract
The invention belongs to the technical field of communication networks and discloses an intention-driven 6G ground network management and control system and a method, wherein the intention-driven 6G ground network management and control system comprises an application layer, an intention layer, an arrangement layer, a knowledge layer, an intention northbound interface, an intention southbound interface and an infrastructure layer; the intention-driven 6G ground network management and control method comprises intention translation, strategy generation, resource management and configuration issuing. Aiming at the problems in the current network management, the invention provides an intention-driven 6G ground network management system and method, simplifies the operation of management personnel on network configuration, provides an automatic method for meeting the intention for users who cannot know underlying knowledge, provides the management of the full life cycle of a network resource pool, realizes the verification of whether the strategy after intention translation can be met on a virtual network, completes the configuration on the infrastructure resource pool through automatic issuing and intelligent arrangement after the verification is completed, and is favorable for ensuring the realization of the intention of the users.
Description
Technical Field
The invention belongs to the technical field of communication networks, and particularly relates to an intention-driven 6G ground network management and control system and method.
Background
At present, the vision of the 6G network is a digital twin, and wisdom is ubiquitous. In 2030 and the future, the 6G network realizes the deep fusion of a real physical world and a virtual digital world by assistance and constructs a brand new world of all-thing intelligent union and digital twin. The digital world predicts the real state of the digital world through simulation and prediction of the physical world, and keeps the normal operation of each work through predictive maintenance of the physical world. The network management technology is an important basis for normal, economic, reliable and safe operation of a network, and the main management functions of the network management technology comprise five management function domains of configuration, performance, charging, failure and safety. With the rapid development of mobile communication networks, the network structure is increasingly complex and heterogeneous, and the number of communication nodes is huge, which puts higher requirements on the network management function.
On one hand, with the sharp increase of the types, the number and the service types of the terminals, the rigid network architecture is difficult to expand new functions and services, and resources cannot be efficiently allocated, so that the user service quality experience is reduced. On the other hand, the current network management system is difficult to adapt to the highly elastic and dynamic service requirements of the future network, and the main problems and difficulties are as follows: (1) the traditional network management mode is difficult to acquire dynamic data of the whole network resources in real time and cannot comprehensively monitor a communication system. (2) Due to large-scale manual configuration and decision, the network is easy to generate errors, the error reasons need to be judged manually after the problems occur, and the error correction process is complex, so that the network recovery speed is low.
An intention-driven Network (IDN) provides an effective idea for solving the above problems, and can automatically translate, verify, issue, configure and guarantee the declarative intention so as to achieve the Network state expected by the user, thereby realizing automation and closed-loop optimization of Network services. IDN has great potential in applications of users and devices to data centers or clouds. The programmable and customizable automatic network integrates the deep mining capability of application intentions, the global sensing capability of network states and the real-time optimization capability of network configuration.
The general purpose intention-driven network can be divided into five layers, namely an application layer, a northbound interface, an intention layer, an arrangement layer, a southbound interface and an infrastructure layer. The application layer issues different intentions, represents the intentions through a northbound interface and issues an intention layer; the intention layer maps the represented intention into a configuration strategy, and verifies the strategy by combining information feedback from the infrastructure layer to form a self-optimization closed loop; the arrangement layer uniformly arranges the strategy fed back by the intention layer and transmits the strategy to the infrastructure layer by the southward interface to complete network configuration; the configured network delivers corresponding services for the user to form a complete closed loop. Accordingly, it can be considered that the intention to drive the network can solve various drawbacks and problems to be solved in the conventional network management.
In the prior art, a method for configuring an interaction intention network is developed, which aims to mine event information and feature extraction in a continuous interaction process to achieve the purpose of network configuration.
In the second prior art, an intention-driven Network management tool is developed to perform Network management through an SDN (Software defined Network) northbound interface, and allow a user to Define a Network requirement and translate the Network requirement into a Network policy, which is sent to the SDN northbound interface, so as to achieve the purpose of Network management. However, this method has the disadvantages that the policy is not verified, and there is a problem that whether the current underlying resource has the capability to implement the policy. Therefore, a new control system and method for a 6G ground network with intent to drive is needed to overcome the defects in the prior art.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing network management technologies are all configured manually, an administrator needs to have professional knowledge, errors are easy to occur in the network due to large-scale manual configuration and decision, the error reasons need to be judged manually after the errors occur, the error correction process is complex, and the difficulty of low network recovery speed exists.
(2) The traditional network management mode is difficult to acquire dynamic data of all network resources in real time, cannot comprehensively monitor a communication system, has huge information quantity of an underlying network and a lot of redundant interference information, and has certain difficulty in verifying whether a strategy is normally implemented through manual work.
(3) The interactive configuration process in the prior art is very complicated and not intelligent enough, and once a network has a problem, the problems of complex error correction process and low network recovery speed are easy to occur; the policy is not verified, and the problem that whether the current underlying resource has the capability of realizing the policy exists.
The difficulty in solving the above problems and defects is:
(1) the underlying network has various resources, dynamic topology and large network scale, cannot effectively and timely configure complex network scenes, and needs an intelligent network management and control architecture to realize rapid deployment of user requirements;
(2) the incompleteness of the holographic sensing of the network state requires real-time monitoring of the state information of the network, and the real-time strategy required for real-time updating of the underlying resources is automatically generated.
The significance of solving the problems and the defects is as follows: the intention-driven 6G ground management and control system and method can be independent of various interfaces of different manufacturer devices on a physical level, solve the network management problem in a heterogeneous environment and enable a user to realize centralized control in a policy-based form. In addition, the system can reduce the workload of manual configuration, automatically simplify the configuration of parameters, improve the reliability of network service and quickly and accurately position network faults. The proposal of the intention-driven 6G ground management and control system and method can focus more on network services than specific fine network configuration for network administrators, so that network delivery is closer to business. For the user, the network can provide a wide variety of services and provide a better user experience. For network service providers, the network configuration and operation and maintenance work is more concise and efficient, and the cost is lower.
Disclosure of Invention
The invention provides an intention-driven 6G (6th Generation mobile communication system) ground network management system and method, and particularly relates to an intention-driven 6G (6th Generation mobile communication system) ground network management system, method, equipment and terminal.
The present invention is achieved as described above, and an intention-driven 6G ground network management and control system, including:
the application layer comprises 6G mainstream applications, and a user inputs intentions in three ways, including texts, voices and images; in the GUI, the user performs creation, browsing and deletion operations on the intention, and the intention execution result is also presented on the interface, so that the user can know whether the service is satisfied or not in real time.
The intention northbound interface is positioned between the application layer and the intention layer and used for forwarding the intention of the user to an intention translation module in the intention layer, defining the intention expression in a standard form and realizing the translation function.
And the intention layer has the functions of management control and strategy making and is used for converting the intention into a configuration command which can be implemented at the bottom layer, and the smooth execution of the intention of the user is ensured through the mutual cooperation among all the modules.
The specific orchestrator OSM is used for managing and controlling the VNF, deploying VNF instances to an infrastructure layer and monitoring the VNF state; for VNF instances with unsatisfied expectation states, re-allocating the VNF instances to achieve the expected expectations; the orchestrator OSM provides an interface to the intent layer that allows the user to customize the VNF model, providing the detailed parameters needed for the VNF.
The knowledge layer is used for observing the state of an external network, collecting information, guiding according to the change of the external state, and making adaptive plan adjustment and decision; the network behavior of the decision is executed by controlling and adjusting a bottom layer mechanism in the infrastructure; and the network state change caused by the execution result is observed again, the cognitive process is guided to carry out planning and decision of the next cycle, and the decision of the arrangement layer is guided.
The intention southward interface takes a virtualization technology as a core and is connected with various network element equipment; the method is used for interaction between the arrangement layer and the infrastructure layer, and virtualization and slicing of various computing resources and communication resources.
The infrastructure layer is accessed from the UE end and is connected to the network through the MME and the NSSF function module to form an end-to-end SFC; the SFC constructs specific network services in a flow classification and flow guiding mode by defining the sequencing of the network service function group; end-to-end functional modules involved in the infrastructure layer are virtualized.
Further, the meaning layer includes:
the intention translation module extracts the intention key features through entity recognition; wherein the intent key features include QoS metrics, time and location factors.
And the intention management module is the core of the management and control system, is interconnected and communicated with each module of the intention layer, and is used for processing all requests.
The resource manager is used for collecting resource data required by the system operation and storing link state information; wherein the link state information includes bandwidth and latency.
And the strategy configurator is used for generating configuration files which can be identified by the arrangement layer according to the specific arrangement device after the user meets the requirement.
Further, the knowledge layer includes:
and the data collection module is used for collecting various network information and monitoring the lower knowledge request.
And the data screening module is used for being responsible for screening and classifying the information collected by the data collection module to a certain extent due to the possible existence of redundant and invalid data, and storing the information in a knowledge base in a proper form.
And the data analysis module is used for converting the knowledge into the knowledge through ML, delivering the knowledge to an upper-layer orchestrator and using the knowledge to make a decision automatically or through manual intervention.
Another object of the present invention is to provide an intention-driven 6G ground network management and control method using the intention-driven 6G ground network management and control system, wherein the intention-driven 6G ground network management and control method includes:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
Further, the intention-driven 6G ground network management and control method comprises the following steps:
after a user inputs an intention in a GUI, the intention is forwarded to an intention translation module in an intention layer through an intention northbound interface, the intention of the user expressed in an application layer and similar to natural language is translated into a network intention formed by an object, an operation and a result, namely, for a certain network object, the network object is subjected to a certain type of operation or the object is expected to present a certain result state;
secondly, the intention translation module is responsible for translating the intentions of the user, filling the intentions according to the strategy templates corresponding to the strategy library and realizing the process from the intentions to the logic strategies; allocating resources through a resource manager, and finally generating a conflict-free physical strategy after a strategy verification and strategy configuration module; the whole process forms closed-loop operation of intention-strategy-verification-configuration;
step three, the orchestrator OSM instantiates the deployment VNF according to the configuration and monitors the state of the VNF; for VNF instances whose expected state is not satisfied, the VNF instances are reconfigured to achieve the expected state; the orchestrator provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
after the configuration command is issued, the knowledge layer data collection module firstly observes the external environment and collects information, guides according to the change of the external environment state, makes adaptive plan adjustment and decision, observes the network state change caused by the execution result again, guides the cognitive process to carry out the next cycle plan and decision, and guides the decision of the arrangement layer;
fifthly, aiming at different guarantee targets, corresponding plan and data screening are carried out, matching of network control strategies is completed by matching with the learning and operation results of the ML, and finally the matching is issued to each network entity for reference execution;
and step six, driving the bottom virtual infrastructure to instantiate the VNF through the configuration parameters according to the configuration command parameters provided by the upper layer, forming a service function chain and providing arrangement for the service required by the user.
Further, in step one, the network object includes a node, a link, a flow, and a policy.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
Another object of the present invention is to provide an information data processing terminal, which is used for implementing the intent-driven 6G ground network management and control system.
The invention also aims to provide the internet network equipment applying the intent-driven 6G ground network management and control system.
By combining all the technical schemes, the invention has the advantages and positive effects that: the intention-driven 6G ground network management and control system and method provided by the invention are provided for solving the problems in the current network management, so that the operation of network configuration by managers is simplified, an automatic method meeting the intention is provided for users who do not know underlying knowledge, and the management of the whole life cycle of a network resource pool can be provided, including network implementation, configuration and slicing arrangement. The method can also realize that whether the strategy after the intent translation can be met or not is verified on the virtual network, and the configuration on the infrastructure resource pool is completed through automatic issuing and intelligent arrangement after the verification is completed. The configuration mode does not need to pay attention to the difference generated by the heterogeneous structure of the bottom layer network, and the south-oriented interface issues an optimized strategy to the bottom layer resource, so that the realization of ensuring the user intention is facilitated. The comparison of the present invention with the prior art is shown in table 1.
Table 1 comparison of the present invention with the prior art
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an intent-driven 6G ground network management and control method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an intent-driven 6G ground end-to-end management and control system according to an embodiment of the present invention.
FIG. 3 is a flow diagram of a top-down intent-to-configure provided by an embodiment of the present invention.
Fig. 4 is a general architecture diagram of an intent-driven 6G ground end-to-end management and control system according to an embodiment of the present invention.
Fig. 5 is a flowchart of VNF instantiation provided by an embodiment of the present invention.
Fig. 6 is an exemplary diagram of OSM orchestration provided by an example of the invention.
Figure 7 is a diagram of OpenStack monitoring resources provided by an embodiment of the present invention.
FIG. 8 is a functional chart of the operation of free5GC according to an example of the present invention.
Fig. 9 is an end-to-end slice of the creation provided by an example of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a system and a method for managing and controlling a 6G ground network with intent to drive, and the technical scheme of the invention is described in detail below by combining the accompanying drawings and specific embodiments.
The method aims to solve the problems that the current network scale is gradually large, the types, the number and the service types of terminals are greatly increased, a rigid network architecture is difficult to expand new functions and services, resources cannot be efficiently distributed, the network configuration complexity is high and the like. The invention adopts a network function virtualization technology, a network data collection technology, a digital twin and digital and artificial intelligence technology and the like to realize an intention-driven 6G ground network management and control system.
The invention discloses an intention-driven 6G (6th Generation mobile networks, 6th Generation mobile communication system) ground network management and control system and a method, wherein the system consists of an application layer, an intention layer, an arrangement layer, a knowledge layer, an intention northbound interface, an intention southbound interface and an infrastructure layer; the management and control method flow of the intention driven 6G ground network comprises intention translation, strategy generation, resource management and configuration issuing. Specifically, the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, and then a conflict-free physical strategy is generated and sent to the arrangement layer; then a specific orchestrator OSM (Open Source MANO) instantiates and links the required VNFs (Virtual Network functions) for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; finally, the infrastructure layer provides various resources needed by the virtualized 6G ground function module, instantiates the needed VNF according to the configuration of the upper layer.
As shown in fig. 1, the method for managing and controlling an intention-driven 6G ground network according to an embodiment of the present invention includes the following steps:
s101, after a user inputs an intention through a GUI, the intention is forwarded to an intention translation module in an intention layer through an intention northbound interface, the intention of the user expressed in an application layer and similar to natural language is translated into a network intention formed by an object, an operation and a result, namely, for a certain network object, the network object is subjected to a certain type of operation or is expected to present a certain result state;
s102, the intention translation module is responsible for translating the intention of the user, filling the intention according to a strategy template corresponding to the strategy library, and realizing the process from the intention to the logic strategy; allocating resources through a resource manager, and finally generating a conflict-free physical strategy after a strategy verification and strategy configuration module; the whole process forms closed-loop operation of intention-strategy-verification-configuration;
s103, the orchestrator OSM instantiates the deployment VNF according to the configuration and monitors the state of the VNF; for VNF instances whose expected state is not satisfied, the VNF instances are reconfigured to achieve the expected state; the orchestrator provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
s104, after a configuration command is issued, the knowledge layer data collection module firstly observes the external environment and collects information, guides according to the change of the external environment state, makes adaptive plan adjustment and decision, observes the network state change caused by the execution result again, guides the cognitive process to carry out the next cycle plan and decision, and guides the decision of an arrangement layer;
s105, aiming at different guarantee targets, carrying out corresponding plan and data screening, matching network control strategies by matching ML learning and operation results, and finally issuing the results to each network entity for reference execution;
and S106, driving the bottom virtual infrastructure to instantiate the VNF through the configuration parameters according to the configuration command parameters provided by the upper layer, forming a service function chain, and providing arrangement for the service required by the user.
As shown in fig. 2, the intention-driven 6G ground network management and control system provided in the embodiment of the present invention includes: application layer 1, intention layer 2, orchestration layer 3, knowledge layer 4, infrastructure layer 5.
The application layer 1 includes applications of 6G mainstream, and a User can input intentions in three ways, including text, voice, and image, and in a GUI (Graphical User Interface), the User can perform operations such as creating, browsing, and deleting on the intentions, and the intention execution result is also presented on the Interface, so that the User can know whether the service is satisfied in real time.
The intention layer 2 has the functions of management control and strategy making, converts the intention into a configuration command which can be implemented at the bottom layer, and ensures the smooth execution of the intention of the user through the mutual cooperation of all modules;
and the orchestration layer 3 is mainly responsible for managing and controlling the VNF, deploying VNF instances to the infrastructure layer, and monitoring the VNF state. For VNF instances that do not meet the expected state, the reconfiguration is performed to achieve the expected expectations. The orchestrator provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
and the knowledge layer 4 firstly observes the external network state and collects information, guides according to the change of the external state, makes adaptive plan adjustment and decision, and finally controls and adjusts a bottom layer mechanism in the infrastructure to execute the decided network behavior. Network state changes caused by the execution result are observed again, the cognitive process is guided to carry out planning and decision of the next cycle, and the decision of the arrangement layer is guided;
the infrastructure layer 5 is accessed from a UE (User Equipment) end, and is connected to a Network through functional modules such as an MME (mobility Management Entity), an NSSF (Network Slice Selection Function), and the like, so as to form an end-to-end SFC (Service Function chain). The SFC constructs specific network services in a flow classification and flow directed manner by defining the ordering of the network service function groups. All end-to-end function modules related in the infrastructure layer can be virtualized, and the implementation is convenient.
As shown in fig. 3, the implementation flow from top to bottom intent input to configuration issue is as follows:
step one, after a user inputs an intention in a GUI, the intention is forwarded to an intention translation module in an intention layer through an intention northbound interface;
the intention translation module is responsible for translating the user intention and generating a standard intention which accords with the five-tuple of field, field attribute, object, operation and combination;
and step three, filling the intention according to the strategy template corresponding to the strategy library, and realizing the process from the intention to the logic strategy. And then, after the resources are distributed through the resource manager, and the strategy verification and strategy configuration module, a conflict-free physical strategy is finally generated. The whole process forms an intention closed loop of intention-strategy-verification-configuration;
and step four, the orchestrator OSM instantiates the deployment VNF according to the configuration and monitors the state of the VNF. For VNF instances that do not meet the expected state, the reconfiguration is performed to achieve the expected expectations. The orchestrator provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
after the configuration command is issued to the infrastructure, the knowledge layer data collection module firstly observes the external environment and collects information, guides according to the change of the external environment state, makes adaptive plan adjustment and decision, observes the network state change caused by the execution result again, guides the cognitive process to carry out the next cycle of plan and decision, and guides the decision of the arrangement layer; in addition, aiming at different guarantee targets, corresponding planning and data screening are carried out, matching of network control strategies is completed by matching with the learning and operation results of the ML, and finally the matching is issued to each network entity for reference and execution.
As shown in fig. 4, the intention-driven 6G ground network management and control system provided by the embodiment of the present invention includes an application layer, an intention layer, an arrangement layer, a knowledge layer, and an infrastructure layer, where both the intention layer and the knowledge layer include several main functional modules as follows:
the intention translation module extracts the intention key characteristics including QoS (Quality of Service) indexes, time, location and other factors through entity identification. And then, according to the characteristics, intention construction is carried out, and the QoS index is preliminarily quantized. The intent is then translated into a policy by the translation module. Finally, when a strategy is created, data support is provided for the intention-to-strategy through inquiring the strategy library;
the intention management module is the core of the governing system. The system is interconnected and intercommunicated with each module of the intention layer, and all requests need to be processed through the module;
the resource manager needs to collect resource data required by system operation, store link state information such as bandwidth, time delay and the like, provide data support for intention configuration and intention verification, judge whether current bottom-layer resources can meet basic requirements of strategy implementation, and guarantee intention execution;
the strategy configurator is responsible for generating configuration files which can be identified by the arrangement layer according to a specific arrangement device after the user meets the requirement. Firstly, searching for an SFC meeting requirements by inquiring a link between two nodes, then converting a strategy into a configuration, and finally issuing the configuration to an infrastructure layer through a specific arrangement platform.
The knowledge layer comprises:
and the data collection module is responsible for collecting various network information and monitoring the knowledge request of the lower layer. In order to implement cognitive learning on the network and further make a corresponding network coping strategy, various information of the network needs to be collected to provide support for decision making and learning. These information are generally classified into environmental information, network status information, business status information, objective and demand information, and decision and plan information made by the system, etc.;
the data screening module is responsible for the information collected by the data collection module, which may have redundant and invalid data, and also has different information contents according to different knowledge levels, and needs to perform certain screening and classification on the widely collected information and store the information into the knowledge base in a proper form. The screened information is sent to a decision module for network state matching as a decision basis;
a data analysis module: they are converted to knowledge by ML (Machine Learning), passed to the upper-level orchestrator, and used (automatically or through human intervention) to make decisions.
As shown in fig. 5, when there is no VNF required for a network function to be implemented after an intention is input for a user, it is necessary to instantiate the required VNF using the NFV framework, and a method of instantiating the VNF by interworking of the OSM, the OpenStack, and the VNFM is required. The implementation process comprises the following steps:
after receiving an instantiation request of an intention manager, a VNF database searches a mapping table for a VM image ID corresponding to the requested VNF, and then sends the VM image ID to a VNFM instantiation VNF;
after receiving the instantiation request, the VNFM first requests the OSM for the right to allocate resources to the VNF instance. The OSM analyzes the request from the perspective of virtual resource allocation. If the resource is available, the OSM grants the authority to the VNFM;
and after the VNFM acquires the authority, requesting OpenStack to allocate resources for the VNF instance. Matching with the key, Nova, company, and shader of OpenStack to obtain indexes, images, networks, and required memories of VNF, and then OpenStack starts to formally create a virtual machine;
the OpenStack creates a VNF based on the allocated resources according to the requested information of the VNF instance, and notifies the VNFM of the created information (such as an IP address, a port number and the like) of the VNF;
the VNFM informs the VNF database of the created information of the VNF and then informs the intention manager;
and finally, after receiving the created VNF information, the OSM of the upper layer issues the low-level security policy to the OpenStack execution policy, and finally forms a network function service chain.
The technical effects of the present invention will be described in detail with reference to experiments.
The embodiment of the invention is that a user A remotely monitors a digital computer room through XR, and the time requirement is 2021-10-9-12:00 to 2021-10-10-12: 00.
Intent translation is performed according to natural language processing, resulting in logic strategies, as shown in Table 2.
Table 2 example of logical policies
| servicetype | IP | servicestoptime | 2021-10-10-12:00 |
| serviceprotocol | UDP | Datarate:downlink | >1tb/s |
| vnfname | AMF, UPF, NSSF, etc | Datarate:uplink | 1tb/s |
| nettype | ELAN | latency | 50μs |
| vnfstatus | Active | reliability | Upto99.999％ |
| nst | Slice.yaml | orchestrator | OSM |
| servicestarttime | 2021-10-09-12:00 | vim | openstack |
As shown in fig. 6, the logic policy is filled, the corresponding template is queried according to the policy library, the NST template is supplemented according to the QoS requirement of the user, and after the completion of the supplementation, a request is sent to the OSM open interface.
As shown in fig. 7, the generated policy template is orchestrated in the OSM, including instantiation of VNFs and creation of networks and ports. The OSM calls OpenStack bottom layer resources and implements monitoring of resource usage.
As shown in fig. 8, for the network function part at the ground end of the 5G network, free5GC is used to obtain the mirror image of the ground network function. free5GC separates User Plane (UP) functionality from Control Plane (CP) functionality, allowing independent deployment and development on each plane. It also modularizes the functional design so that network functions can be deployed flexibly and efficiently in the NFV environment.
The OSM is connected to the OpenStack through the VIM account to manage the OSM, and after receiving an instantiation request of the orchestration layer, the OSM controls the OpenStack to perform specific instance deployment, so that it can be seen in the OpenStack that a specific slice instance has been successfully deployed, and finally, according to an input intention, a network slice is created for a user as shown in fig. 9.
Therefore, the user intention-logic strategy is filled, the network slice template of the arrangement layer is matched, the physical strategy is generated and is sent to the openstack to instantiate the VNF and the virtual network link, a customized network slice is created for the user, and the user intention is realized.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An intent-driven 6G ground network management and control system, the intent-driven 6G ground network management and control system comprising:
the application layer comprises 6G mainstream applications, and a user inputs intentions in three ways, including texts, voices and images; in the GUI, a user performs creation, browsing and deletion operations on intentions, and the intention execution result is also presented on the interface, so that the user can know whether the service is satisfied in real time;
the intention northbound interface is positioned between the application layer and the intention layer and used for forwarding the intention of the user to an intention translation module in the intention layer, defining the intention expression in a standard form and realizing the translation function;
the intention layer has the functions of management control and strategy making and is used for converting the intention into a configuration command which can be implemented at the bottom layer, and the smooth execution of the intention of the user is ensured through the mutual cooperation among all the modules;
the specific orchestrator OSM is used for managing and controlling the VNF, deploying VNF instances to an infrastructure layer and monitoring the VNF state; for VNF instances with unsatisfied expectation states, re-allocating the VNF instances to achieve the expected expectations; the orchestrator OSM provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
the knowledge layer is used for observing the state of an external network, collecting information, guiding according to the change of the external state, and making adaptive plan adjustment and decision; the network behavior of the decision is executed by controlling and adjusting a bottom layer mechanism in the infrastructure; network state changes caused by the execution result are observed again, the cognitive process is guided to carry out planning and decision of the next cycle, and the decision of the arrangement layer is guided;
the intention southward interface takes a virtualization technology as a core and is connected with various network element equipment; the system comprises a layout layer, an infrastructure layer, a communication layer and a virtual layer, wherein the layout layer is used for interacting with the infrastructure layer and virtualizing and slicing various computing resources and communication resources;
the infrastructure layer is accessed from the UE end and is connected to the network through the MME and the NSSF function module to form an end-to-end SFC; the SFC constructs specific network services in a flow classification and flow guiding mode by defining the sequencing of the network service function group; end-to-end functional modules involved in the infrastructure layer are virtualized.
2. The intent-driven 6G ground network management and control system of claim 1, wherein the intent layer comprises:
the intention translation module extracts the intention key features through entity recognition; wherein the intent key features include QoS metrics, time and location factors;
the intention management module is the core of the management and control system, is interconnected and communicated with each module of the intention layer, and all requests need to be processed through the module;
the resource manager is used for collecting resource data required by the system operation and storing link state information; wherein the link state information comprises bandwidth and latency;
and the strategy configurator is used for generating configuration files which can be identified by the arrangement layer according to the specific orchestrator after the user meets the requirements.
3. The intent-driven 6G ground network management system of claim 1, wherein the knowledge layer comprises:
the data collection module is used for collecting various network information and monitoring the knowledge request of the lower layer;
the data screening module is used for being responsible for screening and classifying the information collected by the data collecting module to a certain extent, wherein the information may have redundant and invalid data, and the information is stored in a knowledge base in a proper form;
and the data analysis module is used for converting the knowledge into the knowledge through ML, delivering the knowledge to an upper-layer orchestrator and using the knowledge to make a decision automatically or through manual intervention.
4. An intention-driven 6G ground network management and control method for operating the intention-driven 6G ground network management and control system according to any one of claims 1 to 3, wherein the intention-driven 6G ground network management and control method comprises the following steps:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
5. The method for intent-driven 6G ground network management and control according to claim 4, wherein the method for intent-driven 6G ground network management and control comprises the steps of:
after a user inputs an intention in a GUI, the intention is forwarded to an intention translation module in an intention layer through an intention northbound interface, the intention of the user expressed in an application layer and similar to natural language is translated into a network intention formed by an object, an operation and a result, namely, for a certain network object, the network object is subjected to a certain type of operation or the object is expected to present a certain result state;
secondly, the intention translation module is responsible for translating the intentions of the user, filling the intentions according to the strategy templates corresponding to the strategy library and realizing the process from the intentions to the logic strategies; allocating resources through a resource manager, and finally generating a conflict-free physical strategy after a strategy verification and strategy configuration module; the whole process forms closed-loop operation of intention-strategy-verification-configuration;
step three, the orchestrator OSM instantiates the deployment VNF according to the configuration and monitors the state of the VNF; for VNF instances whose expected state is not satisfied, the VNF instances are reconfigured to achieve the expected state; the orchestrator provides an interface to the intent layer, allowing the user to customize the VNF model, providing the detailed parameters needed by the VNF;
after the configuration command is issued, the knowledge layer data collection module firstly observes the external environment and collects information, guides according to the change of the external environment state, makes adaptive plan adjustment and decision, observes the network state change caused by the execution result again, guides the cognitive process to carry out the next cycle plan and decision, and guides the decision of the arrangement layer;
fifthly, aiming at different guarantee targets, corresponding plan and data screening are carried out, matching of network control strategies is completed by matching with the learning and operation results of the ML, and finally the matching is issued to each network entity for reference execution;
and step six, driving the bottom virtual infrastructure to instantiate the VNF through the configuration parameters according to the configuration command parameters provided by the upper layer, forming a service function chain and providing arrangement for the service required by the user.
6. The method for intent-driven 6G ground network management of claim 5, wherein in step one, the network objects include nodes, links, flows, and policies.
7. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
8. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
after the intention of the user is obtained from the application layer and passes through each functional module in the intention layer, a conflict-free physical strategy is generated and sent to the arrangement layer; a specific orchestrator OSM instantiates and links the required virtual network functions VNF for the issued configuration; the knowledge layer observes the network state according to the configuration execution result, makes adaptive adjustment and decision and plays a guiding role in next decision of the arrangement layer; the infrastructure layer provides various resources required by the virtualized 6G ground function module, and instantiates the required VNF according to the configuration of the upper layer.
9. An information data processing terminal, characterized in that, the information data processing terminal is used for realizing the intention-driven 6G ground network management and control system according to any one of claims 1-3.
10. An internet network device applying the intention-driven 6G ground network management and control system as claimed in any one of claims 1-3.
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