A smart campus system and access method based on 5G slicing network

Abstract

The present invention discloses a smart campus system and access method based on 5G slicing network, including: an application classifier, used to obtain a 5G network slice recommendation for the application to be built according to the application to be built; an access network slice scheduler, used to obtain an applicable network slice instance from the core network and recommend it to the application to be built or generate a corresponding network slice for the application to be built according to the 5G network slice recommendation from the application classifier; the core network includes multiple applicable network slice instances, each applicable network slice instance is used to be allocated to a corresponding application; a resource allocator, used to allocate physical resources and virtual network functions to the network slice generated by the access network slice scheduler, so that it becomes an applicable network slice instance, and the applicable network slice instance is stored in the core network.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart campus, and specifically relates to a smart campus system and access method based on 5G slicing network. Background Art

[0002] GB / T 36342-2018 "Overall Framework of Smart Campus" defines the overall framework of smart campus construction. It defines the infrastructure layer of smart campus as the basic supporting platform layer (cloud computing capability), application platform layer and application terminal (information portal). The information network defined in it includes WIFI, 3G / 4G / 5G, local area network, etc., and describes the complex network environment of smart campus from the overall definition level. In terms of network security protection, GB / T 36342-2018 standard describes that under the general smart campus framework, when intranet users access the internal resources of smart campus through the public network, they need to access through VPN.

[0003] Network slicing is a key feature of 5G networks, which can build dedicated logical networks on shared infrastructure. 5G network slicing represents a network architecture that allows independent and virtualized logical networks to reuse the same physical network infrastructure. Each slice is an independent end-to-end network to meet the various needs of specific applications. The smart campus built on the 5G network will not have the complex network environment of the traditional smart campus, and can make full use of the characteristics of 5G network slicing to provide better smart campus services for teachers and students.

[0004] However, existing smart campuses only use 5G to implement a certain function of the smart campus, or realize the flow and calculation of data between different campuses based on the overall 5G network. There is no method to rebuild a separate smart campus based on 5G network slicing and use the 5G network to access campus resources from the public network.

[0005] With the rapid development of mobile Internet, especially the rapid popularization of the Internet of Things, many applications requiring high bandwidth and low latency have been built in colleges and universities, especially security drones. Traditional 4G networks and WIFI cannot fully meet the needs of these applications. The current known smart campus network architecture is complex. Many school management applications and teaching applications are distributed in network environments such as campus network, equipment network, financial network, and one-card network. At the same time, some applications can only be accessed in the intranet due to security control. This results in the need to use VPN and other methods to access the intranet resources of the smart campus, which is very inconvenient. At the same time, due to the limitations of VPN, some resources cannot be used in the external network. The complex network of the smart campus will also lead to uneven use of network resources. Different types of applications require different network performance. The traditional smart campus network architecture cannot allocate network resources in a personalized manner, which will cause waste of network resources or network performance cannot meet the application scenario. In a complex network environment, when using campus WIFI roaming, there are also problems such as network switching jams, which brings great inconvenience to teachers and students. Summary of the invention

[0006] Purpose of the invention: In order to overcome the problems of inconvenience in accessing intranet resources and inability to personalize the allocation of network resources in existing smart campus networks, the present invention proposes a smart campus system and access method based on 5G slicing network.

[0007] Technical solution: A smart campus system based on 5G slicing network, including:

[0008] An application classifier, used to obtain a 5G network slice recommendation for the application to be built according to the application to be built;

[0009] The access network slice orchestrator is used to obtain an applicable network slice instance from the core network and recommend it to the application to be built or generate a corresponding network slice for the application to be built according to the 5G network slice recommendation from the application classifier;

[0010] A core network, including a plurality of applicable network slice instances, each applicable network slice instance being allocated to a corresponding application;

[0011] A resource allocator is used to allocate physical resources and virtual network functions to the network slice generated by the access network slice orchestrator, so that it becomes an applicable network slice instance, and the applicable network slice instance is stored in the core network;

[0012] Each of the applicable network slice instances includes physical resources and virtual network functions; each of the applicable network slice instances corresponds to a slice scenario, and each slice scenario has multiple applications.

[0013] Furthermore, the application classifier includes:

[0014] The user input module is used to input or select relevant parameters of the application to be built;

[0015] The application classification recommendation module is used to recommend corresponding 5G network slices for the application to be built according to the relevant parameters of the application to be built;

[0016] The behavior analysis module is used to obtain the resource usage information of the corresponding application, and compare the resource usage information with the template value range of the 5G network slice recommended by the application classification recommendation module, so as to determine whether the behavior of the application matches the applicable network slice instance assigned to it. If not, the application classification recommendation module is notified to re-recommend a 5G network slice for it.

[0017] Furthermore, the relevant parameters of the application include: the number of users of the application, the expected bandwidth usage and latency requirements;

[0018] The resource usage information of the application includes application traffic information, server resource usage rate and storage usage.

[0019] Furthermore, the access network slice organizer is also used to collect feedback information from user terminals and resource usage information of each application, and feed the collected information back to the behavior analysis module.

[0020] Furthermore, the physical resources include servers, network devices and storage devices.

[0021] Furthermore, the virtual network function includes network elements, network element interfaces and networking structures.

[0022] Furthermore, the applicable network slicing instances include eMBB slicing instances, mMTC slicing instances and uRLLC slicing instances.

[0023] The present invention discloses a method for accessing a smart campus system based on a 5G slicing network, comprising the following steps:

[0024] Build a smart campus system;

[0025] Two user plane management functions are set in the core network of the smart campus system, which are recorded as a first user plane management function and a second user plane management function; the first user plane management function is used to forward user traffic outside the campus, and an uplink classifier is set on the second user plane management function. The second user plane management function is connected to the campus intranet through a dedicated line and is used to forward user traffic on the campus intranet;

[0026] Define the campus intranet access area;

[0027] When a user terminal accesses the network through a 5G base station, it is determined whether the user terminal is located in the designated campus intranet access area. If not, routing diversion is performed through the first user plane management function to access the Internet; if so, it is determined whether the resource address accessed by the user terminal is the resource address of the campus intranet. If so, only when the user terminal is a contracted user, diversion is performed through the uplink classifier on the second user plane management function to access the campus intranet; if not, routing diversion is performed through the second user plane management function to access the Internet;

[0028] When the user terminal leaves the designated campus intranet access area, the deletion policy of the uplink classifier on the second user plane management function is triggered, and the user terminal can only access the Internet through the first user plane management function.

[0029] Furthermore, the contracted users are users who have signed a 5G diversion strategy with the operator and have passed the resource identity authentication of the campus intranet.

[0030] Beneficial effects: Compared with the prior art, the present invention has the following advantages:

[0031] (1) The present invention solves the drawbacks of traditional smart campus access to intranet resources. It can access campus resources through the 5G network that users have been using without using VPN or switching networks;

[0032] (2) The method of the present invention can manage intranet users by mobile phone number according to needs, and customize intranet access areas. Through intranet user management and intranet access area management, secure access to campus intranet resources can be guaranteed without illegal access;

[0033] (3) The present invention utilizes the characteristics of 5G network slicing to reconstruct the architecture of the smart campus, enabling teachers and students to use campus applications without feeling anything. Through the 5G slice manager, different resources are allocated to different applications to achieve personalized network resource allocation, ensuring maximum resource utilization. At the same time, it solves the problem of poor user experience when using campus applications due to uneven resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A network architecture diagram for accessing campus intranet resources through a 5G network;

[0035] Figure 2 A flowchart of a method for accessing intranet resources;

[0036] Figure 3 This is an architectural diagram of a smart campus system based on 5G slicing network. DETAILED DESCRIPTION

[0037] The technical solution of the present invention is now further described in conjunction with the accompanying drawings and embodiments.

[0038] like Figure 3 As shown, this embodiment discloses a smart campus system based on a 5G slicing network, which mainly includes: physical resources, virtual network functions, core network slicing instances, application groups in different 5G scenarios, 5G terminals, application classifiers, and access network slicing orchestrators.

[0039] Physical resources are the underlying resources of this smart campus system, including the school's servers, network equipment, storage, etc. to support the underlying physical resources of the entire smart campus. These physical resources are managed in a unified manner, and then the corresponding physical resources are divided into corresponding slices according to the slices divided by the access network slice orchestrator.

[0040] The virtual network function is used to generate the required network elements, network element interfaces, and networking structures for the slice instances generated by the network slice orchestrator, and combine them with the underlying physical resources to form an applicable network slice instance.

[0041] The core network slice instance is an applicable network slice instance generated by the access network slice orchestrator in combination with certain physical resources and virtual network functions. In this embodiment, the network slice instance is divided into an eMBB slice instance, an mMTC slice instance, and an uRLLC slice instance. The three different 5G slice instances will be assigned to different applications based on the application recommended network slice suggestions fed back to the access network slice orchestrator by the application classifier.

[0042] Smart campus applications will obtain a recommended slice instance from the access network slice orchestrator based on the recommendations of the application classifier. Applications of the same slice instance will form an application group under the corresponding slice scenario. Because this group of applications will use the same slice instance, unified management at the network level is facilitated.

[0043] The 5G terminal is the user terminal of this smart campus system. When used in different scenarios, it will feed back the corresponding user terminal information to the access network orchestrator. The access network orchestrator will feed back the corresponding application network resource utilization efficiency and other information combined with the user terminal information to the application classifier, and the behavior analysis module of the application classifier will perform corresponding behavior analysis.

[0044] The application classifier is used to analyze the characteristics of applications, make different network slice recommendations based on the different needs of applications, and send the corresponding recommendations to the access network slice orchestrator to generate the corresponding 5G network slices and allocate them to the corresponding applications. The application classifier mainly includes the user input module, application classification module and behavior analysis module.

[0045] The user input module is used for users to input or select relevant parameters of school applications. Since the characteristics of most applications are already known during construction, users can input or select corresponding parameters in the application classifier. The input parameters include: the number of users of the application, the expected bandwidth usage, latency requirements, etc. These parameters will be matched with the corresponding 5G network slice suggestions in the application classification recommendation module. The corresponding 5G network slice suggestions will be sent to the access network slice orchestrator to generate the corresponding network slice and assign it to the application. If the user is not clear about the characteristics of the relevant application, he can select similar applications based on the applications that have already used network slices, and then use the network slices of the application. For example, if a new academic affairs system is created, but the number of users, bandwidth and other parameters of the academic affairs system are not clear, but the evaluation of the academic affairs system and the student affairs system is similar, the eMBB slices used by the student affairs system can be assigned to the academic affairs system;

[0046] The application classification recommendation module is used to recommend a matching 5G network slice for an application, and send the 5G network slice recommendation to the access network slice orchestrator to generate the corresponding network slice. Users can set the numerical range of the corresponding slice recommendation based on parameters such as bandwidth utilization, number of users, and storage quantity. When the parameters entered by the user in the input module fall within the corresponding data range, the application can be recommended to use the corresponding 5G network slice.

[0047] The behavior analysis module is used to dynamically analyze the resource usage of the application and determine whether the network slice currently used by the application still meets the demand. The behavior analysis module receives application traffic information, server resource utilization, storage usage and other information uploaded from the access network slice orchestrator, and compares it with the corresponding slice template value range of the recommendation module to determine whether the behavior of the application matches the 5G slice assigned to it. For example, the laboratory-related system allocates eMBB network slices, but when the laboratory conducts IoT experiments, a large number of IoT devices need to be connected. When the information of these devices is uploaded to the behavior analysis module of the campus application classifier, the behavior analysis module determines that the application needs to connect too many devices, and the number of connected devices exceeds the value range of the eMBB network slice. It will notify the application classification recommendation module to convert the recommended slices of the laboratory-related systems into mMTC and send them to the access network slice orchestrator to allocate new slices to the laboratory-related systems to ensure the normal progress of the IoT experiment;

[0048] The access network slice orchestrator is used to allocate corresponding 5G slices to applications according to the 5G slices recommended by the application classification recommendation module of the application classifier; this embodiment uses the 5G slice manager to allocate different resources to different applications to ensure maximum resource utilization, while solving the problem of poor user experience when using campus applications due to uneven resource allocation.

[0049] This embodiment uses the characteristics of 5G network slicing to reconstruct the architecture of the smart campus. According to the characteristics of different campus applications, the school's applications are automatically divided, and then different resources are allocated to different applications to ensure maximum resource utilization. At the same time, it solves the problem of poor user experience when using campus applications due to uneven resource allocation.

[0050] This embodiment discloses a method for accessing campus intranet resources through a 5G network. Figure 1 and Figure 2 As shown, it mainly includes the following steps:

[0051] Build an access framework: two user plane management functions UPF (User plane Function) are set in the 5G core network. The user plane management function UPF is mainly responsible for the routing and forwarding of business data. The two user plane management functions UPF in this embodiment are UPF1 and UPF2; UPF1 is responsible for forwarding user traffic outside the campus. Users directly access the Internet through UPF1, but cannot access campus intranet resources; an uplink classifier ULCL (Uplink Classifier, ULCL) is set on UPF2. UPF2 is connected to the campus intranet through a dedicated line and is responsible for traffic forwarding on the campus intranet; users within the campus can access the campus intranet through UPF2 with ULCL, and can access campus intranet resources after passing the authentication of the campus intranet.

[0052] Campus users sign 5G traffic diversion strategies with various operators. Users who sign the contracts can access campus intranet resources through the 5G network within the campus. Because traffic diversion is achieved through the UPF of the 5G network, the user's mobile phone number must be activated for the 5G network, and traffic diversion cannot be achieved on the 4G network.

[0053] Define the 5G campus intranet access area, which is generally the entire campus area. The definition of the campus intranet access area can be expanded according to the actual needs of users;

[0054] When a user accesses the network through a 5G base station, it is determined whether the user is on campus. If the user is outside the campus, UPF1 is used for routing diversion, and the user can access the Internet but cannot access campus intranet resources.

[0055] When the terminal user enters the intranet access area, when the user accesses the network through the 5G base station, UPF2 determines the resource address accessed by the user. If it is an Internet resource, UPF2 performs routing diversion and the user can directly access the Internet; if the resource address accessed by the user is a campus intranet resource and the user's mobile phone number is within the contract range, the ULCL on UPF2 will divert the access to the campus intranet.

[0056] Campus intranet resources have their own identity authentication mechanism, which authenticates the terminal user. After the authentication is passed, the user can access the intranet resources normally. The diversion strategy will be triggered only when the terminal user enters the intranet access area and the terminal user's mobile phone number is in the authorization list. The diversion strategy will not be triggered if the terminal user does not enter the intranet access area or the terminal user's mobile phone number is not in the authorized range.

[0057] When the terminal user leaves the intranet access area, the ULCL deletion policy on UPF2 is triggered. The terminal user can no longer access the campus network through ULCL, but accesses the Internet through UPF1.

[0058] The intranet resource access method proposed in this embodiment solves the drawbacks of traditional smart campus access to intranet resources. Campus resources can be accessed through the 5G network without using a VPN or switching networks. At the same time, this embodiment can conveniently manage intranet users by mobile phone number according to needs, and customize intranet access areas. Through user control and intranet access area control, it can ensure safe access to campus intranet resources without illegal access. At the same time, when the user leaves the intranet area, ULCL will trigger a deletion operation, and users in other areas will not be able to access the intranet, and the control is stricter.

Claims

1. A smart campus system based on 5G slicing network, characterized by: include: An application classifier, used to obtain a 5G network slice recommendation for the application to be built according to the application to be built; The access network slice orchestrator is used to obtain an applicable network slice instance from the core network and recommend it to the application to be built or generate a corresponding network slice for the application to be built according to the 5G network slice recommendation from the application classifier; A core network, including a plurality of applicable network slice instances, each applicable network slice instance being allocated to a corresponding application; A resource allocator is used to allocate physical resources and virtual network functions to the network slice generated by the access network slice orchestrator, so that it becomes an applicable network slice instance, and the applicable network slice instance is stored in the core network; Each of the applicable network slice instances includes physical resources and virtual network functions; Each of the applicable network slice instances corresponds to a slice scenario, and each slice scenario has multiple applications; The application classifier comprises: The user input module is used to input or select relevant parameters of the application to be built; The application classification recommendation module is used to recommend corresponding 5G network slices for the application to be built according to the relevant parameters of the application to be built; The behavior analysis module is used to obtain the resource usage information of the corresponding application, and compare the resource usage information with the template value range of the 5G network slice recommended by the application classification recommendation module, so as to determine whether the behavior of the application matches the applicable network slice instance assigned to it. If not, the application classification recommendation module is notified to re-recommend a 5G network slice for it; The access network slice organizer is also used to collect feedback information from user terminals and resource usage information of each application, and feed the collected information back to the behavior analysis module.

2. According to claim 1, a smart campus system based on 5G slicing network is characterized in that: The relevant parameters of the application include: the number of users of the application, the expected bandwidth usage and the latency requirement; The resource usage information of the application includes application traffic information, server resource usage rate and storage usage.

3. According to claim 1, a smart campus system based on 5G slicing network is characterized in that: The physical resources include servers, network devices and storage devices.

4. According to claim 1, a smart campus system based on 5G slicing network is characterized in that: The virtual network function includes network elements, network element interfaces and networking structures.

5. According to claim 1, a smart campus system based on 5G slicing network is characterized in that: The applicable network slicing instances include eMBB slicing instances, mMTC slicing instances and uRLLC slicing instances.

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