Planning method of 5G private network and construction method of case library model

Abstract

The invention discloses a 5G private network planning method and a case library model construction method, and relates to the technical field of communication. The 5G private network planning method comprises the following steps: acquiring first demand data of a user for a 5G private network; the first demand data is used for indicating the network performance demand of the user for the 5G private network; inputting the first demand data into a pre-constructed case library model to generate a first planning scheme of the 5G private network; the first planning scheme comprises the number of various first devices and topological structures among the first devices. According to the method, the 5G private network is planned by using the case library model, so that the planning time can be greatly shortened, the planning scheme meeting the user requirements can be quickly generated, and the planning efficiency is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of communication technology, and in particular to a 5G private network planning method and a case library model construction method. Background Art

[0002] When designers develop 5G private network planning solutions for enterprises, they not only need to understand the network requirements of the enterprise, but also the performance parameters of various types of equipment, the compatibility between devices, etc. It can be seen that developing 5G private network planning solutions for enterprises is a complex and time-consuming process. How to improve the efficiency of developing 5G private network planning solutions while meeting the network requirements of enterprises is an urgent problem to be solved. Summary of the invention

[0003] The present application provides a 5G private network planning method and a case library model construction method, which are used to reduce the planning time of the 5G private network, quickly generate a planning scheme that meets user needs, and improve planning efficiency.

[0004] In order to achieve the above objectives, this application adopts the following technical solutions:

[0005] In a first aspect, a planning method for a 5G private network is provided, the method comprising: obtaining first demand data of users for the 5G private network; the first demand data is used to indicate the network performance requirements of the users for the 5G private network; the first demand data is input into a pre-built case library model to generate a first planning scheme for the 5G private network; the first planning scheme includes the number of multiple first devices and the topological structure between the first devices.

[0006] Through the above-mentioned technical means, based on the user's network performance requirements for the 5G private network and the pre-built case library model, the first planning scheme is automatically generated. The case library model is used to greatly reduce the planning time, quickly generate a planning scheme that meets the user's needs, and improve the planning efficiency of the 5G private network. Even when user needs change, you only need to update the first demand data and input the demand into the case library model to quickly obtain the first planning scheme, so that the first planning scheme can quickly respond to user needs. In addition, the first planning scheme generated by the case library model includes the number of first devices and the topological structure between each first device, so that users can clearly understand the planning details of the 5G private network and provide accurate data support for the construction of the 5G private network.

[0007] In one possible implementation, the first device is a wireless network device, or a core network device; the first demand data includes at least one of the coverage area of ​​the 5G private network, the network capacity of the 5G private network, and the core configuration mode; the core configuration mode is used to indicate the number of core network devices in the first planning scheme.

[0008] Through the above-mentioned technical means, by obtaining the user's requirements for the coverage area and network capacity of the 5G private network, the wireless network equipment that meets the network performance requirements in the 5G private network can be determined. By obtaining the user's requirements for the core configuration mode, the core network equipment that meets the core configuration mode in the 5G private network can be directly determined, thereby providing a basis for the precise planning of the 5G private network.

[0009] In one possible implementation, the first demand data is input into a pre-built case library model to generate a first planning scheme for the 5G private network, including: inputting the first demand data into the case library model to generate at least one second planning scheme; screening at least one second planning scheme according to a scheme generation strategy to obtain a first planning scheme; the scheme generation strategy is used to indicate the screening conditions of at least one second planning scheme.

[0010] Through the above-mentioned technical means, multiple second planning schemes that meet user needs are generated based on the case library model. Based on the preset scheme generation strategy, multiple second planning schemes are screened. The first planning scheme that best meets the screening conditions is screened through the scheme generation strategy to improve the quality of the 5G private network planning scheme.

[0011] In one possible implementation, the case library model includes a preset device information library; the preset device information library includes device information of multiple first devices; according to the solution generation strategy, at least one second planning solution is screened to obtain the first planning solution, including: according to the preset device information library, determining the device information of multiple first devices in the second planning solution; according to the solution generation strategy and the device information of multiple first devices in the second planning solution, screening at least one second planning solution to obtain the first planning solution.

[0012] Through the above technical means, the preset device information library contains detailed device information of multiple first devices, which enables accurate matching of devices that meet the screening conditions when generating the first planning scheme, helping to ensure the feasibility and practicality of the planning scheme.

[0013] In one possible implementation, the device information includes at least one of the device price, device performance parameters and device model; the solution generation strategy is any one of the benefit strategy, performance strategy and device model strategy; the benefit strategy is used to indicate the selection of the first planning scheme from at least one second planning scheme based on price; the performance strategy is used to indicate the selection of the first planning scheme from at least one second planning scheme based on performance; the device model strategy is used to indicate the selection of the device model of the first device in the first planning scheme.

[0014] Through the above technical means, the solution generation strategy includes multiple aspects such as benefit strategy, performance strategy, and equipment model. Among them, the benefit strategy screens the second planning scheme based on the equipment price, which can ensure that the selected first planning scheme is within the budget, thereby effectively controlling the cost. The performance strategy focuses on the performance parameters of the equipment to ensure that the first planning scheme can meet specific performance requirements (such as stability, etc.). The equipment model strategy avoids potential problems caused by model mismatch. According to the actual needs of users, based on the case library model, the most suitable solution can be flexibly and accurately selected from multiple second planning schemes to adapt to different application scenarios.

[0015] In the second aspect, a method for constructing a case library model is provided, the method comprising: obtaining a demand library and a case library; the demand library comprises at least one second demand data; the case library comprises at least one 5G private network case corresponding to the second demand data; the 5G private network case comprises the number of multiple second devices and the topological structure between each second device; according to the demand library and the case library, an initial case library model is trained to obtain a case library model; the case library model is the case library model in the first aspect and any possible implementation method thereof.

[0016] Through the above-mentioned technical means, the case library model is trained according to the demand library and the corresponding 5G private network case library. It can learn the mapping relationship between users' demand for 5G private networks and cases. Even in the face of new and unprecedented demand, the case library model can generate a planning scheme with certain adaptability by matching and combining similar cases. Therefore, when the case library model is used in the subsequent period, it can generate 5G private network cases according to user needs more quickly and accurately, provide a basis for users to design 5G planning schemes, avoid users designing 5G private network planning schemes from scratch, and improve planning efficiency.

[0017] In one possible implementation, the second device includes a wireless network device; the second demand data includes the coverage area and network capacity of the 5G private network; in the 5G private network case, the number of each wireless network device is determined based on the coverage area and network capacity.

[0018] Through the above technical means, the number of wireless network devices can be determined according to the user's demand for 5G private network network capacity, which can ensure that the 5G private network has sufficient bandwidth and processing power to meet the user's data transmission needs. At the same time, determining the number of wireless network devices based on the coverage area can ensure the integrity of network coverage and reduce coverage blind spots.

[0019] In one possible implementation, the second device includes a core network device; the second demand data includes a core configuration mode; the core configuration mode is used to indicate the number of each core network device in a 5G private network case.

[0020] Through the above-mentioned technical means, the core configuration mode is used as the user's design requirement for the 5G private network, which can quickly determine the number of core networks without complex calculations and evaluations, simplifying the design planning process and improving planning efficiency.

[0021] In one possible implementation, the initial case library model includes a preset device information library; the preset device information library includes device information of multiple second devices; the device information includes preset topology conditions of the second devices; the preset topology conditions are used to indicate devices that can be connected to the second devices; the topology structure between each second device in the 5G private network case meets the preset topology conditions of each second device.

[0022] Through the above technical means, the preset device information library contains detailed device information of multiple first devices, which enables accurate matching of devices that meet the screening conditions when generating the first planning scheme, helping to ensure the feasibility and practicality of the planning scheme.

[0023] In a third aspect, a 5G private network planning device is provided, the device comprising:

[0024] A first acquisition module is used to acquire first demand data of the user for the 5G private network; the first demand data is used to indicate the network performance demand of the user for the 5G private network;

[0025] A generation module is used to input the first demand data into a pre-built case library model to generate a first planning scheme for the 5G private network; the first planning scheme includes the number of multiple first devices and the topological structure between the first devices.

[0026] In a fourth aspect, a device for constructing a case library model is provided, the device comprising:

[0027] The second acquisition module is used to acquire a demand library and a case library; the demand library includes at least one second demand data; the case library includes at least one 5G private network case corresponding to the second demand data; the 5G private network case includes the number of multiple second devices and the topological structure between the second devices;

[0028] The training module is used to train the initial case library model according to the demand library and the case library to obtain the case library model; the case library model is the case library model in the first aspect and any possible implementation method.

[0029] In a fifth aspect, an electronic device is provided, comprising a memory and a processor; the memory and the processor are coupled; the memory is used to store computer program code, and the computer program code includes computer instructions; when the processor executes the computer instructions, the electronic device executes the 5G private network planning method provided by the above-mentioned first aspect and any possible implementation thereof, or executes the case library model construction method provided by the above-mentioned second aspect and any possible implementation thereof.

[0030] In a sixth aspect, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed on an electronic device, the electronic device executes the 5G private network planning method provided by the above-mentioned first aspect and any possible implementation method thereof, or executes the case library model construction method provided by the above-mentioned second aspect and any possible implementation method thereof.

[0031] It should be noted that the technical effects brought about by any implementation method in the third to sixth aspects can be referred to the technical effects brought about by the corresponding implementation method in the first aspect or the second aspect, and will not be repeated here.

[0032] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of the structure of a 5G private network provided in an embodiment of the present application;

[0034] Figure 2 A schematic diagram of a 5G private network planning system provided in an embodiment of the present application;

[0035] Figure 3 A schematic diagram of the composition of a planning device provided in an embodiment of the present application;

[0036] Figure 4 A flowchart of a 5G private network planning method provided in an embodiment of the present application;

[0037] Figure 5 A schematic diagram of the connection relationship between various wireless network devices provided in an embodiment of the present application;

[0038] Figure 6 A flowchart of a method for constructing a case library model provided in an embodiment of the present application;

[0039] Figure 7 A schematic diagram of the structure of a 5G private network planning device provided in an embodiment of the present application;

[0040] Figure 8 A schematic diagram of the structure of a device for constructing a case library model provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0043] It should also be understood that the term “comprising” indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements and / or components.

[0044] With the continuous development and application of 5G technology, users' demand for 5G private networks is also growing. They hope to meet specific network performance requirements through private network construction, such as higher network capacity and stronger network reliability.

[0045] Figure 1 It is a structural diagram of a 5G private network. In a 5G private network, the devices involved mainly include core network devices, wireless network devices, and terminal devices. Among them, the core network device is the management and control center of the 5G private network, responsible for processing and allocating network resources and realizing the connection of all terminal devices. Exemplarily, the core network device can be a router, a switch, a firewall and other devices. The wireless network device is the basic part of the 5G private network and is responsible for transmitting the data of the terminal device to the core network device. Exemplarily, the wireless network device includes an antenna feed, a signal source, a baseband unit (BBU), a radio remote unit (RRU), an active antenna unit (AAU), a radio unit centralized controller (radiohub, RHUB), a pico radio remote unit (PRRU), etc. The terminal device provides users with high-speed network connections and supports applications such as real-time communication, high-definition video, video monitoring, and data acquisition. Exemplarily, the terminal device can be a video monitoring device, a mobile terminal used by a user, etc.

[0046] In related technologies, designers need to invest a lot of time and energy to analyze users' unique needs for 5G private networks, and then select and configure various devices based on these needs. For example, the 5G private network's demand for wireless network coverage will affect the number of signal sources. For another example, whether the core configuration mode between core network devices in the 5G private network is active-standby or no-active-standby will affect the number of core network devices. For another example, there is a certain adaptation relationship between wireless network devices, and not all wireless network devices can be connected to each other. In the process of planning and designing 5G private networks, not only a large amount of data analysis and calculation is involved, but also an in-depth understanding of network technology and rich practical experience are required. Therefore, the traditional 5G private network planning process is particularly cumbersome and complicated, and the design efficiency is difficult to meet the rapidly growing market demand.

[0047] In view of this, an embodiment of the present application provides a 5G private network planning method. According to the user's demand for the 5G private network, a case library model is used to quickly generate a 5G private network planning scheme. Compared with the related technology, designers invest a lot of time and energy in analyzing the 5G private network requirements. The 5G private network planning method provided in this application simplifies the design process of the 5G private network planning scheme and improves the planning efficiency of the 5G private network.

[0048] In some embodiments, in the planning method provided by the embodiment of the present application, first, the user's first demand data for the 5G private network is obtained, wherein the first demand data is used to indicate the user's network performance requirements for the 5G private network, such as the coverage area of ​​the 5G private network in the 5G private network, the network capacity of the 5G private network, etc. Then, the first demand data is input into the pre-built case library model to generate the first planning scheme for the 5G private network. Among them, the first planning scheme includes the number of multiple first devices and the topological structure between each first device. The planning scheme provided by the embodiment of the present application automatically generates the first planning scheme based on the user's network performance requirements for the 5G private network and the pre-built case library model, and the case library model is used to greatly reduce the planning time, quickly generate a planning scheme that meets the user's needs, and improve the planning efficiency of the 5G private network. Even when the user's needs change, it only needs to update the first demand data and input the demand into the case library model to quickly obtain the first planning scheme, so that the first planning scheme can quickly respond to user needs. In addition, the first planning scheme generated by the case library model includes the number of first devices and the topological structure between the first devices, so that users can clearly understand the planning details of the 5G private network and provide accurate data support for the construction of the 5G private network.

[0049] The following is an exemplary introduction to the system architecture of the embodiments of the present application.

[0050] Figure 2FIG. 1 is a schematic diagram of a 5G private network planning system provided in an embodiment of the present application. Figure 2 As shown, the planning system of the 5G private network may include a server and a terminal device. The server is communicatively connected with the terminal device.

[0051] Figure 2 The server is mainly used to input the first demand data into the pre-built case library model to generate a first planning scheme for the 5G private network. The first planning scheme includes the number of multiple first devices and the topological structure between the first devices. In addition, the server is also used to build the case library model.

[0052] In some embodiments, the server may be a single server, or a server cluster consisting of multiple servers. In some implementations, the server cluster may also be a distributed cluster. In the embodiments of the present application, the server may be a physical server or a virtual server.

[0053] The terminal device may be used to obtain the user's first demand data for the 5G private network and send the first demand data to the server. The first demand data is used to indicate the user's network performance requirements for the 5G private network. Exemplarily, the network performance requirements may be the coverage area of ​​the 5G private network, the network capacity of the 5G private network, the core configuration mode of the core network device (such as the active-standby mode, the no-active-standby mode), etc.

[0054] In some examples, the terminal device may be installed with an APP. The APP may send the first demand data for the 5G private network to the server in response to the user's input operation.

[0055] Specifically, the terminal device may be a UE or a mobile station (MS) or a mobile terminal (MT), etc. Specifically, the terminal may be a mobile phone, a tablet computer or a computer with a wireless transceiver function, or a wireless terminal in an unmanned driving, a wireless terminal in telemedicine, a wireless terminal in a smart grid, a wireless terminal in a smart city, a smart home, a vehicle-mounted terminal, etc.

[0056] In some embodiments, Figure 2 The 5G private network planning system shown can also be connected to other systems. For example, it can also be connected to the 5G private network progress control system. The 5G private network progress control system can be used to control the construction process of the 5G private network, etc.

[0057] The system architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. A person of ordinary skill in the art can appreciate that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0058] It should be noted that Figure 2 This is just an exemplary framework diagram. Figure 2 The number of terminal devices included in the Figure 2 In addition to the functional nodes shown, other nodes may also be included.

[0059] The embodiments of the present application do not limit the application scenarios of the above-mentioned system. The system architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. It is known to those skilled in the art that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0060] When implementing it specifically, Figure 2 The equipment in Figure 3 The structure shown, or including Figure 3 Parts shown. Figure 3 The following is a schematic diagram of the composition of a planning device 300 provided in an embodiment of the present application. The planning device 300 may be a chip or a system on chip in a network device. Alternatively, the planning device 300 may be a chip or a system on chip in a terminal device. Alternatively, the planning device 300 may be a chip or a system on chip in a planning device. Figure 3 As shown, the planning device 300 includes a processor 301 , a communication interface 302 and a communication line 303 .

[0061] Furthermore, the planning device 300 may also include a memory 304 . The processor 301 , the memory 304 and the communication interface 302 may be connected via a communication line 303 .

[0062] The processor 301 is a CPU, a general processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 301 may also be other devices with processing functions, such as circuits, devices, or software modules, without limitation.

[0063] The communication interface 302 is used to communicate with other devices or other communication networks. The other communication networks may be Ethernet, radio access network (RAN), wireless local area network (WLAN), etc. The communication interface 302 may be a module, a circuit, a communication interface or any device capable of achieving communication.

[0064] The communication line 303 is used to transmit information between the components included in the planning device 300.

[0065] The memory 304 is used to store instructions, where the instructions may be computer programs.

[0066] The memory 304 may be a read-only memory (ROM) or other types of static storage devices that can store static information and / or instructions, or a random access memory (RAM) or other types of dynamic storage devices that can store information and / or instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0067] It should be noted that the memory 304 can exist independently of the processor 301, or can be integrated with the processor 301. The memory 304 can be used to store instructions or program codes or some data, etc. The memory 304 can be located in the planning device 300 or outside the planning device 300, without limitation. The processor 301 is used to execute the instructions stored in the memory 304 to implement the following embodiments of the present application to provide a planning method for a 5G private network and a method for constructing a case library model.

[0068] In one example, the processor 301 may include one or more CPUs, for example, Figure 3 CPU0 and CPU1 in.

[0069] As an optional implementation, the planning device 300 includes multiple processors, for example, Figure 3 In addition to the processor 301, a processor 307 may also be included.

[0070] As an optional implementation, the planning device 300 further includes an output device 305 and an input device 306. Exemplarily, the input device 306 is a device such as a keyboard, a mouse, a microphone or a joystick, and the output device 305 is a device such as a display screen and a speaker.

[0071] It should be noted that the planning device 300 can be a desktop computer, a portable computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system or a Figure 3 In addition, Figure 3 The composition shown in the Figure 2 The limitations of each device in Figure 3 In addition to the parts shown, Figure 2 The various devices shown may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0072] In the embodiment of the present application, the chip system may be composed of a chip, or may include a chip and other discrete devices.

[0073] In addition, the actions, terms, etc. involved in the various embodiments of the present application can refer to each other without limitation. The message name or parameter name in the message exchanged between the various devices in the embodiments of the present application is only an example, and other names can also be used in the specific implementation without limitation.

[0074] It should be noted that, in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0075] In the present application, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0076] Combine the following Figure 2 The planning system shown describes the planning method of the 5G private network provided in the embodiment of the present application and the method for constructing the case library model. Among them, the actions, terms, etc. involved in the various embodiments of the present application can refer to each other without limitation. The message name or parameter name in the message interacting between the devices in the embodiment of the present application is only an example, and other names can also be used in the specific implementation without limitation. The actions involved in the various embodiments of the present application are only an example, and other names can also be used in the specific implementation, such as: "included in" in the embodiment of the present application can also be replaced by "carried on" or "carried in", etc.

[0077] The following embodiments of the present application will respectively provide an illustrative introduction to the 5G private network planning method and the case library model construction method in two parts.

[0078] Part I: Combination Figure 4 , Figure 5 , introducing the planning method of 5G private network provided by the embodiment of the present application, aiming to introduce the overall process of how to use the case library model to obtain the first planning solution.

[0079] Part II: Combination Figure 6 , introduces the construction method of the case library model provided in the embodiment of the present application, aiming to introduce how to implement the construction of the case library model.

[0080] Figure 4 1 is a flow chart of a 5G private network planning method according to an exemplary embodiment. Exemplarily, the method includes the following S401-S402.

[0081] S401: The server obtains the user’s first demand data for the 5G private network.

[0082] Among them, the first demand data is used to indicate the user's network performance requirements for the 5G private network.

[0083] In a possible implementation, the first demand data includes the coverage area of ​​the 5G private network. The coverage area of ​​the 5G private network refers to the size of the transmission range of the wireless signal source emitted by all wireless network devices in the 5G private network.

[0084] Optionally, the coverage area of ​​the 5G private network will affect the number of wireless network devices. When the coverage area required in the 5G private network is large, in order to ensure the signal strength and stability of the 5G private network, the number of wireless network devices needs to be increased. By increasing the number of wireless network devices, the wireless signal in the 5G private network is divided into multiple smaller areas for coverage. Each area is provided with a stable signal by one or more wireless network devices, ensuring that good wireless network performance can be obtained in the entire coverage area of ​​the 5G private network.

[0085] Exemplarily, the coverage area of ​​5G private network includes outdoor coverage area and indoor coverage area. Among them, the outdoor coverage area refers to the range of outdoor areas such as urban streets and public places that the network signal of 5G private network can cover. The indoor coverage area refers to the range where the network signal of 5G private network can enter and cover every corner inside the building.

[0086] In one possible implementation, the first demand data includes the network capacity of the 5G private network. The network capacity of the 5G private network refers to the amount of data that the network can process and transmit within a certain period of time. The network capacity is usually measured in Mbit / s (megabits per second), which represents the maximum amount of data that the 5G private network can transmit.

[0087] The network capacity of the 5G private network will also affect the number of wireless network devices. When the network capacity is low, the number of terminal devices and the concurrency ratio that the 5G private network can support will be limited. This is because each terminal device will occupy a certain amount of network bandwidth when transmitting data. If the network capacity is not enough to support a large number of terminal devices to connect and transmit data at the same time, it may cause network congestion, reduced data transmission speed, and even connection interruption. At this time, in order to meet the connection and data transmission needs of more terminal devices, it is necessary to increase the number of wireless network devices in the 5G private network to increase the network capacity. By increasing the number of wireless network devices, dispersing the network load, and improving the network throughput and concurrency ratio, the network can be ensured to operate stably and efficiently.

[0088] Optionally, the network capacity of the 5G private network can be determined by the number and concurrency ratio of terminal devices in the 5G private network by users.

[0089] It should be noted that the process of determining the network capacity of the 5G private network will be explained in the subsequent second part of the embodiment and will not be repeated here.

[0090] In one possible implementation, the first demand data includes a core configuration mode. The core configuration mode is a framework for determining the deployment and configuration of core network devices, which determines the structure, redundancy, and whether edge computing functions are integrated in the network. The core network devices include but are not limited to routers, firewalls, switches, user plane function (UPF) devices, and mobile edge computing (MEC) devices. Specifically, the core configuration mode is used to indicate the number of core network devices in the first planning scheme.

[0091] Exemplarily, the core configuration modes include but are not limited to active-standby mode, no active-standby mode, active-standby + edge computing mode, no active-standby + edge computing mode, etc.

[0092] Among them, the active-standby mode is a high-availability deployment method, in which the primary device is responsible for handling all normal business traffic, while the backup device is in standby mode and will not take over the business until the primary device fails or maintenance is required. For example, in a large 5G private network, two core routers are deployed, one of which is used as the primary router to handle all business traffic, and the other is used as a backup router. When the primary router fails, the backup router will automatically take over the business, ensuring the continuity and availability of the network in the 5G private network.

[0093] Specifically, the active-standby mode includes the same-office active-standby mode and the remote active-standby mode. The same-office active-standby mode refers to deploying both active and standby devices at the same office (for example, the same data center), where the active device normally carries service traffic and the standby device is on standby.

[0094] In contrast, the non-active / standby mode means that all core network devices process service traffic equally, without a clear active / standby relationship. This mode is usually used in scenarios where the network load is relatively balanced and the tolerance for device failure is high. For example, in small and medium-sized 5G private networks, only one core router is deployed, and the core router processes all service traffic. When the core router fails, the entire 5G private network will experience service interruption.

[0095] Among them, the active-standby + edge computing mode refers to the integration of edge computing functions on the basis of the active-standby mode. The edge computing function migrates some computing and data storage tasks from the cloud (such as the core router end) to the edge of the network (such as non-core network devices) to reduce the burden on core network devices and improve response speed. The active-standby + edge computing mode not only ensures the high availability of the network, but also improves the data processing speed and response capability through edge computing.

[0096] Among them, the non-active backup + edge computing mode refers to the integration of edge computing functions on the basis of the non-active backup mode. This mode is suitable for scenarios with high tolerance for device failures and the need to increase data processing speed.

[0097] Table 1 shows the number of core network devices corresponding to each core configuration mode.

[0098] Table 1

[0099]

[0100] Different core configuration modes are suitable for different network scenarios. When choosing a configuration mode, users need to make comprehensive considerations based on factors such as 5G private network fault tolerance and cost.

[0101] In one possible implementation, the equipment in the 5G private network also includes terminal equipment. For example, in the 5G private network, data acquisition equipment is needed to collect data required by the enterprise, such as the current and voltage required in the 5G private network of the power company. For another example, video monitoring equipment, remote control equipment, etc. are also needed in the 5G private network to meet the production needs of the enterprise. Of course, the equipment in the 5G private network can also include terminal equipment used by users, etc. Correspondingly, the first demand data can also include the user's performance requirements for the terminal equipment in the 5G private network. For example, the performance requirements of the terminal equipment can be storage capacity, response speed, etc.

[0102] S402: The server inputs the first demand data into the pre-built case library model to generate a first planning scheme for the 5G private network.

[0103] The first planning scheme includes the number of multiple first devices and the topological structure between the first devices.

[0104] In a possible implementation, the above S402 is implemented as follows:

[0105] S4021: The server inputs the first demand data into the case library model to generate at least one second planning solution.

[0106] S4022: The server screens at least one second planning scheme according to the scheme generation strategy to obtain the first planning scheme.

[0107] The solution generation strategy is used to indicate the screening conditions of at least one second planning solution. In this way, based on the preset solution generation strategy, multiple second planning solutions are screened, and the first planning solution that best meets the screening conditions is screened through the solution generation strategy to adapt to different application scenarios and improve the quality of the 5G private network planning solution.

[0108] Optionally, the above S4022 is implemented in the following manner:

[0109] First, the server determines the device information of the multiple first devices in the second planning scheme according to a preset device information database.

[0110] The case library model includes a preset device information library. The preset device information library includes device information of multiple first devices. In this way, the preset device information library includes detailed device information of multiple first devices, which enables accurate matching of devices that meet the screening conditions when generating the first planning scheme, which helps to ensure the feasibility and practicality of the planning scheme.

[0111] Exemplarily, the device information in the preset device information database can be obtained through channels such as device manufacturers, operators, and design units, and is not specifically limited here.

[0112] Then, the server screens at least one second planning scheme according to the scheme generation strategy and the device information of the multiple first devices in the second planning scheme to obtain the first planning scheme.

[0113] Optionally, the device information includes a price of the device. The solution generation strategy is a benefit strategy, and the benefit strategy is used to indicate that the first planning solution is selected from at least one second planning solution based on the price.

[0114] Exemplarily, the benefit strategy may be to use the second planning scheme with the lowest total equipment price as the first planning scheme.

[0115] The total equipment price refers to the sum of the prices of all equipment involved in the planning scheme. When the planning case includes core network equipment, wireless network equipment, and terminal equipment, the total equipment price is the core network equipment unit price * the number of core network equipment + the wireless network equipment unit price * the number of wireless network equipment + the terminal equipment unit price * the number of terminal equipment. In this way, the benefit strategy selects the second planning scheme based on the equipment price, which can ensure that the selected first planning scheme is within the budget, thereby effectively controlling costs.

[0116] Optionally, the device information includes device performance parameters. The solution generation strategy is a performance strategy, and the performance strategy is used to indicate that the first planning solution is selected from at least one second planning solution based on performance.

[0117] Exemplarily, the performance strategy may be to determine the second planning scheme with the strongest performance as the first planning scheme. For example, the device performance parameter of the wireless network device is the transmission power, and the performance strategy is to determine the second planning scheme containing the wireless network device with the maximum transmission power as the first planning scheme. For another example, the device performance parameters of the core network device include the routing table capability (represented by the number of routing table items, the larger the number of routing table items, the stronger the routing table capability and the stronger the ability to cope with complex network environments). In this case, the performance strategy is to determine the second planning scheme containing the core network device with the strongest routing table capability as the first planning scheme.

[0118] In this way, the performance parameters of the equipment in the planning scheme are focused on through the performance strategy to ensure that the first planning scheme can meet the specific equipment performance requirements.

[0119] Optionally, the device information includes a device model. The solution generation strategy is a device model strategy; the device model strategy is used to indicate the device model of the first device in the first planning solution to be screened. In this way, the device model strategy avoids potential problems caused by model mismatch.

[0120] Optionally, the device information includes a preset topology condition of the device. The preset topology condition is used to indicate a device that can be connected to the second device. The topology structure between the devices in the 5G private network case meets the preset topology condition of each device.

[0121] Exemplarily, when the device is a wireless network device, the preset topology condition of the wireless network device is a device that can be connected to the wireless network device, such as a downlink device that can be connected to the wireless network device (also referred to as a downlink device of the wireless network device).

[0122] Exemplarily, when the device is a wireless network device, the preset topology condition of the wireless network device includes not only the devices that can be connected to the wireless network device, but also the number of devices connected to the wireless network device, for example, the maximum number of downlink devices connected to the wireless network device. Figure 5 It is a schematic diagram of the connection relationship between various wireless network devices. Figure 5 In the example, the downstream device of the BBU device can be an RRU device, an AAU device, or an RHUB device. The downstream device of the RRU device is an antenna feeder, and the downstream device of the RHUB device is a PRRU device.

[0123] It should be explained that the solution generation strategy can also be a strategy composed of multiple strategies. For example, the solution generation strategy includes both benefit strategy and performance strategy, where the benefit strategy is used to limit the maximum total equipment price of the first planning solution, and the performance strategy is used to select the second planning solution with the strongest equipment performance as the first planning solution within the range of the maximum total equipment price. Combining the benefit strategy and the performance strategy allows the generated first planning solution to be flexibly adjusted according to the construction requirements of the 5G private network.

[0124] It should be noted that the device information may also include the device manufacturer, device size, device power consumption, device performance (such as the uplink and downlink bandwidth requirements of the terminal device, the transmission protocol of the wireless network device), etc. Correspondingly, the solution generation strategy is the strategy corresponding to the above device information, which will not be repeated here. When user needs are different, the solution generation strategy corresponding to the needs is set to improve the adaptability of the case library model.

[0125] In the first part of the embodiment of the present application, based on the user's network performance requirements for the 5G private network and the pre-built case library model, a first planning scheme is automatically generated. The case library model is used to greatly reduce the planning time, quickly generate a planning scheme that meets the user's needs, and improve the planning efficiency of the 5G private network. Even when user needs change, you only need to update the first demand data and input the demand into the case library model to quickly obtain the first planning scheme, so that the first planning scheme can quickly respond to user needs. In addition, the first planning scheme generated by the case library model includes the number of first devices and the topological structure between each first device, so that users can clearly understand the planning details of the 5G private network and provide accurate data support for the construction of the 5G private network.

[0126] The above is the first part of the embodiment of this application. Figure 6 , which introduces how to build a case library model.

[0127] Figure 6 : is a flowchart of a method for constructing a case library model provided in an embodiment of the present application. The method comprises the following steps:

[0128] S601: The server obtains a requirement library and a case library.

[0129] The demand library includes at least one second demand data.

[0130] The case library includes at least one 5G private network case corresponding to the second demand data. The 5G private network case includes the number of multiple second devices and the topology between the second devices. The topology between the second devices describes the connection method between the second devices. Exemplarily, the topology between the second devices includes but is not limited to a star topology, a bus topology, a ring topology, a tree topology, and the like.

[0131] In one possible implementation, the second device includes a wireless network device. The second demand data includes a coverage area and a network capacity of the 5G private network. In the 5G private network case, the number of each wireless network device is determined based on the coverage area and the network capacity.

[0132] In this way, determining the number of wireless network devices based on the user's demand for 5G private network capacity can ensure that the 5G private network has sufficient bandwidth and processing power to meet the user's data transmission needs. At the same time, determining the number of wireless network devices based on the coverage area can ensure the integrity of the network coverage and reduce coverage blind spots.

[0133] Optionally, the wireless network device includes an antenna feed and a signal source. The specific calculation method of the antenna feed and the signal source is shown in S1-S3 below:

[0134] S1: The server calculates a first number of antennas and feeders and a first number of signal sources according to the coverage area of ​​the 5G private network in the second demand data.

[0135] Exemplarily, Table 2 is a specific calculation method for calculating the first number of antenna feeds and the first number of information sources according to the coverage area, wherein S is the coverage area, and r is the coverage radius of a wireless network device (antenna feed / information source).

[0136] Table 2

[0137]

[0138] S2: The server calculates the second number of antennas and feeds and the second number of information sources according to the network capacity of the 5G private network in the second demand data.

[0139] Among them, the network capacity of 5G private network includes the total uplink bandwidth demand and the total downlink bandwidth demand. The network capacity of 5G private network can be calculated based on the uplink and downlink bandwidth requirements of the terminal equipment. The specific calculation formula is as follows:

[0140] C up =(∑Uplink bandwidth requirement of terminal equipment×Number of terminals)×Concurrency ratio (Formula 1) C down =(∑Downlink bandwidth requirement of terminal equipment×Number of terminals)×Concurrency ratio (Formula 2)

[0141] Among them, C up is the total upstream bandwidth requirement, C down is the total downstream bandwidth requirement.

[0142] Exemplarily, the uplink and downlink capacities of the benchmark single cell are used as the uplink and downlink capacities of a wireless network device to calculate the second number of antennas and feeders and the second number of information sources. The uplink and downlink capacities of the benchmark single cell are shown in Table 3.

[0143] Table 3

[0144] category Reference Benchmark Single cell downlink capacity Single cell uplink capacity Outdoor Station 100M, 64TR 700Mbps 220Mbps Indoor Station 100M, 4TR 675Mbps 238Mbps

[0145] The calculation formula for calculating the second number of information sources based on the benchmark single cell is as follows:

[0146] The second number of information sources = max (total uplink bandwidth requirement / single cell uplink capacity, total downlink bandwidth requirement / single cell downlink capacity) (Formula 3)

[0147] Specifically, the specific calculation method of the second number of antenna feeds and the second number of information sources is shown in Table 4.

[0148] Table 4

[0149]

[0150] S3: The server determines the number of antenna feeds and the number of information sources in the 5G private network case according to the first number of antenna feeds, the first number of information sources, the second number of antenna feeds, and the second number of information sources.

[0151] Exemplarily, the larger of the first number and the second number of antenna feeds is used as the number of antenna feeds in the 5G private network case. The larger of the first number and the second number of information sources is used as the number of information sources in the 5G private network case.

[0152] It should be noted that the number of other network devices in the 5G private network can be determined based on the number of antennas and feeds and the number of information sources, and is not specifically limited here.

[0153] In one possible implementation, the second device includes a core network device. The second requirement data includes a core configuration mode. The core configuration mode is used to indicate the number of each core network device in a 5G private network case.

[0154] In this way, by taking the core configuration mode as the user's design requirement for the 5G private network, the number of core networks can be quickly determined without complex calculations and evaluations, simplifying the design planning process and improving planning efficiency. For example, the number of core network devices in the core configuration mode is shown in Table 1, which will not be described in detail here.

[0155] In one possible implementation, the initial case library model includes a preset device information library. The preset device information library includes device information of multiple second devices. The device information includes a preset topology condition of the second device. The preset topology condition is used to indicate a device that can be connected to the second device. The topology structure between each second device in the 5G private network case meets the preset topology condition of each second device. For the description of the preset topology condition, please refer to the description in the first part, which will not be repeated here.

[0156] In this way, the preset device information library includes detailed device information of multiple first devices, which enables accurate matching of devices that meet the screening criteria when generating the first planning scheme, helping to ensure the feasibility and practicality of the planning scheme.

[0157] It should be noted that the 5G private network cases in the case library can be deleted or added according to actual needs, and there is no specific limitation here.

[0158] S602: The server trains the initial case library model according to the demand library and the case library to obtain a case library model.

[0159] Exemplarily, the training method for the initial case library model may be a similarity calculation method, a machine learning algorithm, a deep learning algorithm, etc., which is not specifically limited here.

[0160] Exemplarily, the case library can be divided into a training set and a test set, and the training set is used to train the initial case library model. After multiple iterations of training and adjusting the initial case library model, the case library model is tested using the test set to obtain the final case library model.

[0161] In the second part of the embodiment of the present application, the case library model is trained based on the demand library and the corresponding 5G private network case library. The case library model can learn the mapping relationship between the user's demand for 5G private networks and cases. Even in the face of new and unprecedented needs, the case library model can generate a planning scheme with a certain degree of adaptability by matching and combining similar cases. Therefore, when the case library model is used in the subsequent period, it can generate 5G private network cases according to user needs more quickly and accurately, provide a basis for users to design 5G planning schemes, avoid users designing 5G private network planning schemes from scratch, and improve planning efficiency.

[0162] Figure 7 : is a structural diagram of a 5G private network planning device provided in an embodiment of the present application, the device comprising:

[0163] The first acquisition module 701 is used to obtain the user's first demand data for the 5G private network; the first demand data is used to indicate the user's network performance requirements for the 5G private network.

[0164] The generation module 702 is used to input the first demand data into a pre-built case library model to generate a first planning scheme for the 5G private network; the first planning scheme includes the number of multiple first devices and the topological structure between each first device.

[0165] In one possible implementation, in the apparatus, the first device is a wireless network device, or a core network device; the first demand data includes at least one of the coverage area of ​​the 5G private network, the network capacity of the 5G private network, and the core configuration mode; the core configuration mode is used to indicate the number of core network devices in the first planning scheme.

[0166] In one possible implementation, the generation module 702 is specifically used to input the first demand data into the case library model to generate at least one second planning scheme; according to the scheme generation strategy, screen at least one second planning scheme to obtain the first planning scheme; the scheme generation strategy is used to indicate the screening conditions of at least one second planning scheme.

[0167] In one possible implementation, the case library model includes a preset device information library; the preset device information library includes device information of multiple first devices; the generation module 702 is specifically used to determine the device information of multiple first devices in the second planning scheme according to the preset device information library; according to the scheme generation strategy and the device information of multiple first devices in the second planning scheme, screen at least one second planning scheme to obtain the first planning scheme.

[0168] In a possible implementation, the device information includes at least one of the device price, device performance parameters and device model; the solution generation strategy is any one of the benefit strategy, performance strategy and device model strategy; the benefit strategy is used to indicate that the first planning scheme is screened out from at least one second planning scheme based on price; the performance strategy is used to indicate that the first planning scheme is screened out from at least one second planning scheme based on performance; and the device model strategy is used to indicate that the device model of the first device in the first planning scheme is screened out.

[0169] Figure 8 : is a schematic diagram of a structure of a device for constructing a case library model provided in an embodiment of the present application, the device comprising:

[0170] The second acquisition module 801 is used to acquire a demand library and a case library; the demand library includes at least one second demand data; the case library includes at least one 5G private network case corresponding to the second demand data; the 5G private network case includes the number of multiple second devices and the topological structure between the second devices;

[0171] The training module 802 is used to train the initial case library model according to the demand library and the case library to obtain a case library model; the case library model is the case library model in the above embodiment.

[0172] In one possible implementation, in the apparatus, the second device includes a wireless network device; the second demand data includes the coverage area and network capacity of the 5G private network; in the 5G private network case, the number of each wireless network device is determined based on the coverage area and network capacity.

[0173] In one possible implementation, in the apparatus, the second device includes a core network device; the second demand data includes a core configuration mode; the core configuration mode is used to indicate the number of each core network device in a 5G private network case.

[0174] In one possible implementation, in the device, the initial case library model includes a preset device information library; the preset device information library includes device information of multiple second devices; the device information includes preset topology conditions of the second device; the preset topology conditions are used to indicate devices that can be connected to the second device; the topology structure between each second device in the 5G private network case meets the preset topology conditions of each second device.

[0175] Through the description of the above implementation methods, technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0176] An embodiment of the present application provides a computer program product comprising instructions. When the computer program product runs on a computer, the computer executes the 5G private network planning method in the above method embodiment.

[0177] An embodiment of the present application also provides a computer-readable storage medium, which stores instructions. When the instructions are executed on a computer, the computer executes the 5G private network planning method in the method flow shown in the above method embodiment.

[0178] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read products from the storage medium and can write products to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In the embodiments of the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program, which may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0179] An embodiment of the present invention provides a computer program product comprising instructions. When the instructions are executed on a computer, the computer executes the 5G private network planning method of the embodiment of the present application.

[0180] Since the 5G private network planning device, computer-readable storage medium, and computer program product in the embodiments of the present invention can be applied to the above-mentioned method, the technical effects that can be obtained can also refer to the above-mentioned method embodiments, and the embodiments of the present invention will not be described in detail here.

[0181] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0182] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0183] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0184] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A 5G private network planning method, characterized in that: The method comprises: Acquire first demand data of a user for a 5G private network; the first demand data is used to indicate the network performance demand of the user for the 5G private network; The first demand data is input into a pre-built case library model to generate a first planning scheme for the 5G private network; the first planning scheme includes the number of multiple first devices and the topological structure between each of the first devices.

2. The planning method according to claim 1, characterized in that: The first device is a wireless network device, or a core network device; the first demand data includes at least one of the coverage area of ​​the 5G private network, the network capacity of the 5G private network and the core configuration mode; the core configuration mode is used to indicate the number of the core network devices in the first planning scheme.

3. The planning method according to claim 1 or 2, characterized in that: The step of inputting the first demand data into a pre-built case library model to generate a first planning scheme for the 5G private network includes: Inputting the first demand data into the case library model to generate at least one second planning scheme; According to a solution generation strategy, the at least one second planning solution is screened to obtain the first planning solution; the solution generation strategy is used to indicate a screening condition for the at least one second planning solution.

4. The planning method according to claim 3, characterized in that: The case library model includes a preset device information library; the preset device information library includes device information of the multiple first devices; The step of screening the at least one second planning scheme according to the scheme generation strategy to obtain the first planning scheme includes: Determining device information of multiple first devices in the second planning scheme according to the preset device information database; According to the solution generation strategy and the device information of the multiple first devices in the second planning solution, the at least one second planning solution is screened to obtain the first planning solution.

5. The planning method according to claim 4, characterized in that: The device information includes at least one of a device price, a device performance parameter, and a device model; the solution generation strategy is any one of a benefit strategy, a performance strategy, and a device model strategy; the benefit strategy is used to indicate that the first planning solution is selected from the at least one second planning solution based on price; The performance strategy is used to instruct to select the first planning scheme from the at least one second planning scheme based on performance; The device model strategy is used to indicate the selection of the device model of the first device in the first planning scheme.

6. A method for constructing a case library model, characterized in that: The method comprises: Acquire a demand library and a case library; the demand library includes at least one second demand data; the case library includes a 5G private network case corresponding to the at least one second demand data; the 5G private network case includes the number of multiple second devices and the topological structure between each of the second devices; According to the demand library and the case library, an initial case library model is trained to obtain a case library model; the case library model is the case library model according to any one of claims 1 to 5.

7. The construction method according to claim 6, characterized in that: The second device includes wireless network equipment; the second demand data includes the coverage area and network capacity of the 5G private network; in the 5G private network case, the number of each wireless network device is determined based on the coverage area and the network capacity.

8. The construction method according to claim 6 or 7, characterized in that: The second device includes a core network device; the second demand data includes a core configuration mode; the core configuration mode is used to indicate the quantity of each core network device in the 5G private network case.

9. The construction method according to claim 6, characterized in that: The initial case library model includes a preset device information library; the preset device information library includes device information of the plurality of second devices; the device information includes a preset topology condition of the second device; the preset topology condition is used to indicate a device that can be connected to the second device; The topological structure between each of the second devices in the 5G private network case meets the preset topological conditions of each of the second devices.

10. An electronic device, characterized in that: including memory and processor; The memory is coupled to the processor; The memory is used to store computer program code, wherein the computer program code includes computer instructions; When the processor executes the computer instructions, the electronic device executes the 5G private network planning method as described in any one of claims 1 to 5, or executes the case library model construction method as described in any one of claims 6 to 9.

11. A computer-readable storage medium, wherein instructions are stored in the computer-readable storage medium, characterized in that: When the instruction runs on an electronic device, the electronic device executes the 5G private network planning method as described in any one of claims 1 to 5, or executes the case library model construction method as described in any one of claims 6 to 9.

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