Information processing method and device and electronic equipment

Abstract

The embodiment of the invention provides an information processing method and device, electronic equipment and a computer readable storage medium, and relates to the field of communication. The method comprises the following steps: acquiring cell information of a network cell acquired by a physical network entity; and sending the cell information to a virtual twinborn body, so that the virtual twinborn body determines a virtual twinborn model of the network cell according to the cell information. According to the embodiment of the invention, the requirement of the digital twin network for network cell modeling is proposed, and the embodiment of the invention provides important values for reflecting the operation state of the mobile network and carrying out regional-level network analysis and prediction on the mobile network by modeling the network cell through verification. According to the embodiment of the invention, the network cell is modeled instead of a single user, a communication device or a network element, so that the cost of the digital twin network can be effectively reduced while the digital twin service is ensured.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and more specifically, to an information processing method, device and electronic device. Background Art

[0002] A digital twin network is a network system that creates virtual twins of physical network entities in a digital way and can interact and map with physical network entities as real-time as possible. The construction of this system requires modeling of relevant entities within the network so that they can be used for subsequent calculations of the twins.

[0003] However, there is no clear research on which components of the network need to be modeled and which parameters the model contains. Summary of the invention

[0004] The embodiments of the present application provide a method, device, electronic device, computer-readable storage medium and computer program product for processing information of a digital twin network, which can solve the above-mentioned problems of the prior art. The technical solution is as follows:

[0005] In a first aspect, an embodiment of the present application provides an information processing method, which is applied to an intermediate function layer, and the method includes:

[0006] Get the cell information of the network cells collected by the physical network entity:

[0007] The cell information is sent to the virtual twin corresponding to the physical network entity so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0008] In a second aspect, an embodiment of the present application provides an information processing method, which is applied to a virtual twin, and the method includes:

[0009] Receive the cell information of the network cell sent by the intermediate functional layer:

[0010] Determine a virtual twin model of a network cell based on the cell information;

[0011] Among them, the cell information is collected by the physical network entity corresponding to the virtual twin.

[0012] In a third aspect, an embodiment of the present application provides an information processing method, which is applied to a physical network entity, and the method includes:

[0013] Collect cell information of network cells;

[0014] The cell information is sent to the intermediate functional layer so that the intermediate functional layer sends the cell information to the virtual twin corresponding to the physical network entity, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0015] In a fourth aspect, an embodiment of the present application provides an information processing device, which is applied to an intermediate function layer, and the device includes:

[0016] A receiving module is used to receive cell information of network cells collected by a physical network entity:

[0017] The sending module is used to send cell information to the virtual twin corresponding to the physical network entity, so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0018] In a fifth aspect, an embodiment of the present application provides an information processing device, which is applied to a virtual twin, and the device includes:

[0019] The receiving module is used to receive the cell information of the network cell sent by the intermediate functional layer:

[0020] A processing module, used to determine a virtual twin model of a network cell according to the cell information;

[0021] Among them, the cell information is collected by the physical network entity corresponding to the virtual twin.

[0022] In a sixth aspect, an embodiment of the present application provides an information processing device, applied to a physical network entity, the device comprising:

[0023] A receiving module, used for collecting cell information of network cells;

[0024] The sending module is used to send cell information to the intermediate functional layer, so that the intermediate functional layer sends the cell information to the virtual twin corresponding to the physical network entity, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0025] In a seventh aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the method provided in any one of the first to third aspects above.

[0026] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method provided in any one of the first to third aspects above is implemented.

[0027] In a ninth aspect, an embodiment of the present application provides a computer program product, including a computer program, which implements the steps of the above method when the computer program is executed by a processor.

[0028] The beneficial effects of the technical solution provided by the embodiment of the present application are:

[0029] The embodiment of the present application proposes the requirements of the digital twin network for network cell modeling. The embodiment of the present application models the network cell and has been verified to have important value in reflecting the operating status of the mobile network and performing regional-level network analysis and prediction for the mobile network. The embodiment of the present application models the network cell instead of modeling a single user, communication device or network element, which can effectively reduce the cost of the digital twin network while ensuring the digital twin service. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in describing the embodiments of the present application are briefly introduced below.

[0031] Figure 1 A schematic diagram of the system architecture of an information processing method for implementing a digital twin network provided in an embodiment of the present application;

[0032] Figure 2a An interactive schematic diagram of an information processing method for a digital twin network provided in an embodiment of the present application;

[0033] Figure 2b A schematic diagram of a path for a network information acquisition layer to acquire cell information provided in an embodiment of the present application;

[0034] Figure 2c A schematic diagram of a network feedback layer sending first information provided by an embodiment of the present application;

[0035] Figure 3a A flowchart of an information processing method of a digital twin network performed by an intermediate functional layer provided in an embodiment of the present application;

[0036] Figure 3b A schematic diagram of a flow chart of an information processing method of a digital twin network performed by a virtual twin provided in an embodiment of the present application;

[0037] Figure 3c A flowchart of an information processing method of a digital twin network performed by a physical network entity provided in an embodiment of the present application;

[0038] Figure 4a A flowchart of an information processing method of a digital twin network performed by an intermediate functional layer provided in an embodiment of the present application;

[0039] Figure 4b A schematic diagram of a flow chart of an information processing method of a digital twin network performed by a virtual twin provided in an embodiment of the present application;

[0040] Figure 4cA flowchart of an information processing method of a digital twin network performed by a physical network entity provided in an embodiment of the present application;

[0041] Figure 5a A schematic diagram of the structure of an information processing device applied to an intermediate functional layer provided in an embodiment of the present application;

[0042] Figure 5b A schematic diagram of the structure of an information processing device applied to a virtual twin provided in an embodiment of the present application;

[0043] Figure 5c A schematic diagram of the structure of an information processing device applied to a physical network entity provided in an embodiment of the present application;

[0044] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the implementation methods described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions of the embodiments of the present application.

[0046] It will be understood by those skilled in the art that, unless specifically stated, the singular forms "one", "an" and "the" used herein may also include plural forms. It should be further understood that the terms "including" and "comprising" used in the embodiments of the present application refer to that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude the implementation as other features, information, data, steps, operations, elements, components and / or combinations thereof supported by the technical field. It should be understood that when we call an element "connected" or "coupled" to another element, the one element can be directly connected or coupled to the other element, or it can refer to that the one element and the other element establish a connection relationship through an intermediate element. In addition, the "connection" or "coupling" used here may include wireless connection or wireless coupling. The term "and / or" used here indicates at least one of the items defined by the term, for example, "A and / or B" can be implemented as "A", or as "B", or as "A and B".

[0047] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0048] First, several terms involved in this application are introduced and explained:

[0049] A digital twin network is a network system that creates virtual twins of physical network entities in a digital way and can interact and map with physical network entities as real-time as possible. The construction of this system requires modeling of relevant entities within the network so that they can be used for subsequent calculations of the twins.

[0050] The modeling objects of the virtual twin of the mobile core network mentioned in the relevant technology include the core network itself, network elements, telecommunications cloud, terminals and application servers using the network. The required models include information models that characterize network elements, behavioral models of network element business processing, information models that characterize business flow characteristics, and behavioral models of terminal and application server business processing.

[0051] The model is the core component of the digital twin network. By modeling the twin objects, a high-fidelity simulation of the physical network can be achieved to meet the needs of twin applications. Precision is an important requirement of the virtual twin model. The accurate representation model can not only accurately characterize the physical network entities, but also make the dynamic output of the model consistent with the current or expected network system status over time. At the same time, the goal of the digital twin network is to serve the optimization of the physical network system. If the modeling goal is simply precision and 1:1 mirroring, the cost consumption is relatively large, which is also a waste from the demand perspective.

[0052] Therefore, efficient and lightweight modeling is one of the key factors to be considered in modeling technology. How to optimize the overall efficiency and cost while meeting the service needs of twin networks is the difficulty of modeling technology.

[0053] The information processing method, device, electronic device, computer-readable storage medium and computer program product of the digital twin network provided in this application are intended to solve the above technical problems of the prior art.

[0054] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station (radio base station)", "fixed station (fixed station)", "node (node)", "access point (access point)", "transmission point (TP)", "reception point (reception point, RP)", "transmission / reception point (transmission / reception point, TRP)", "panel (panel)", "antenna panel (antenna panel)", "antenna array (antenna array)", "cell (cell)", "macro cell (macro cell)", "small cell (small cell)", "femto cell (femto cell)", "pico cell (pico cell)", "sector (sector)", "cell group (cell)", "carrier (carrier)", "component carrier (component carrier)", "bandwidth part (bandwidth part, BWP)" and the like can be used interchangeably.

[0055] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client and the like can be used interchangeably.

[0056] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, it can also be called device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it can also be set as a structure in which the terminal has all or part of the functions of the access network device. In addition, languages ​​such as "uplink" and "downlink" can also be replaced by languages ​​corresponding to communication between terminals (for example, "side").

[0057] In some embodiments, the names of information, etc. are not limited to the names recorded in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "code element", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0058] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be interchangeable, and terms such as "duration", "period", "time window", "window", and "time" can be interchangeable.

[0059] In some embodiments, "obtain", "obtain", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from a protocol, obtaining by self-processing, autonomous implementation, etc.

[0060] In some embodiments, terms such as "send", "transmit", "report", "send", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0061] In some embodiments, "predetermined" or "preset" may be interpreted as being pre-specified in a protocol, etc., or may be interpreted as a pre-set action performed by a device, etc.

[0062] In some embodiments, determining can be interpreted as judging, deciding, calculating, computing, processing, deriving, investigating, searching, looking up, searching, inquiring, ascertaining, receiving, transmitting, inputting, outputting, accessing, resolving, selecting, choosing, establishing, comparing, “assuming”, “expecting”, “considering”, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc., but is not limited to the above.

[0063] In some embodiments, "existing", "stored", and "stored" may be interchangeable.

[0064] In some embodiments, acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0065] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0066] The following describes several exemplary embodiments to illustrate the technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application. It should be noted that the following embodiments can refer to, draw on or combine with each other, and the same terms, similar features and similar implementation steps in different embodiments will not be described repeatedly.

[0067] Figure 1 It is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0068] like Figure 1 As shown, the communication system 100 includes a terminal 101 and a network device 102 .

[0069] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited to these.

[0070] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0071] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (CloudRAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0072] In some embodiments, the technical solutions of the embodiments of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between or within the network devices involved in the embodiments of the present disclosure may become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

[0073] In some embodiments, the access network device can be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), where the CU can also be called a control unit (control unit). The CU-DU structure can be used to split the protocol layer of the network device, with the functions of some protocol layers centrally controlled by the CU, and the remaining part or all of the protocol layer functions distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0074] In some embodiments, the access network device may be one device, or may be a plurality of devices or a group of devices, including all or part of the first network element, the second network element, etc. The network element may be virtual or physical. The network device may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0075] In some embodiments, the core network device may be a device including one or more network elements, or may be a plurality of devices or a group of devices, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0076] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. A person of ordinary skill in the art can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0077] The following embodiments of the present disclosure can be applied to Figure 1 The communication system 100, or a portion thereof, is shown but is not limited thereto. Figure 1 The various entities shown are examples, and the communication system may include Figure 1All or part of the subject, and may also include Figure 1 Other entities other than the virtual twin, such as the intermediate functional layer, the number and form of each entity are arbitrary, the connection relationship between the entities is an example, the entities may be connected or disconnected, the connection may be in any way, it may be a direct connection or an indirect connection, it may be a wired connection or a wireless connection. In some embodiments, the intermediate functional layer may also serve as a functional module in the virtual twin.

[0078] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine-to-Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), systems using other communication methods, next-generation systems based on them, etc. In addition, multiple systems can also be combined (for example, a combination of LTE or LTE-A and 5G, etc.) for application.

[0079] In an embodiment of the present application, a schematic diagram of an interactive method for processing information of a digital twin network is provided. Figure 2a As shown, the embodiment of the present disclosure relates to an information processing method, which is used in a communication system 100. The method includes:

[0080] S2101. The physical network entity sends cell information of the network cell to the intermediate functional layer.

[0081] In some embodiments, the physical network entity may be at least one of the terminal 101 , the network device 102 , the core network device, and the operation and maintenance system in the communication system 100 .

[0082] In some embodiments, the cell information may include at least one of geographical location information, type of coverage area, service statistics information, communication quality information, and terminal information of terminals within the cell.

[0083] In some embodiments, the geographic location information includes at least one of a center point location, a cell radius, and a base station identifier.

[0084] In some embodiments, the type of coverage area refers to the type of building within the coverage area.

[0085] In some embodiments, the type of coverage area includes at least one of a residential area, an office area, and a commercial area.

[0086] The type of coverage area of ​​the embodiment of the present application can assist the virtual twin in determining the busy and idle time information of the network cell, the population information within the coverage area of ​​the cell, the main types of terminal services accessing the cell, and other information.

[0087] In some embodiments, the business statistics information includes at least one of business type, business traffic ratio, and business peak period.

[0088] In some embodiments, the service type may include at least one of a voice service, a text message service, a multimedia service, an Internet of Things service, and an Internet of Vehicles service.

[0089] In some embodiments, the communication quality information includes at least one of a maximum value, a minimum value, and an average value of the call quality.

[0090] In some embodiments, the terminal information includes at least one of a statistical period, a number of terminals, a terminal type, and a type ratio.

[0091] In some embodiments, the terminal type includes at least one of a mobile phone, a smart watch, smart glasses, a vehicle-mounted terminal, and a smart water meter.

[0092] In some embodiments, since the geographical location information and the type of coverage area are relatively static information, they can be retrieved from information about network cell planning and construction, or obtained from an operation and maintenance system.

[0093] In some embodiments, the service statistics information is stored in a core network device, such as a user plane function (UPF) network element or a control plane function network element.

[0094] In some embodiments, the communication quality information and the terminal information of the terminals in the cell are generally stored in the terminal or the access network device.

[0095] In some embodiments, the intermediate functional layer receives cell information of network cells sent by the physical network entity.

[0096] In some embodiments, the intermediate functional layer includes a network information acquisition layer, which receives cell information of a network cell sent by the Internet of Things entity through the network information acquisition layer.

[0097] See also Figure 2b , which exemplarily shows a schematic diagram of a path for the network information acquisition layer of an embodiment of the present application to acquire cell information. As shown in the figure, a total of 4 feasible paths are shown:

[0098] Path 1: The network information acquisition layer directly obtains the cell information stored in the access network device from the access network device;

[0099] Path 2: The network information acquisition layer obtains the parameter information of the base station from the operation and maintenance system. It can be understood that before this, the base station will transmit the parameter information collected by the base station to the operation and maintenance system;

[0100] Path 3: The network information acquisition layer obtains the parameter information of the core network from the operation and maintenance system. It can be understood that before this, the core network device transmits the parameter information collected by the core network device to the operation and maintenance system;

[0101] Path 4: The network information acquisition layer directly obtains the core network parameter information from the core network;

[0102] In some embodiments, a data reporting module is added to at least one of the access network equipment, the operation and maintenance system, and the core network equipment. The data reporting module is used to obtain cell information uploaded by relevant network elements and send it to the network information acquisition layer.

[0103] In some embodiments, the network information acquisition layer pre-configures a data reporting protocol supported by the physical network entity.

[0104] In some embodiments, the physical network entity preconfigures the IP address of the network information acquisition layer, so that the physical network entity reports the cell information to the network information acquisition layer according to the IP address of the network information acquisition layer.

[0105] S2102. The intermediate functional layer sends cell information to the virtual twin.

[0106] In some embodiments, after receiving the cell information, the intermediate functional layer directly forwards the cell information to the virtual twin.

[0107] In some embodiments, after receiving the cell information, the intermediate functional layer summarizes the cell information and sends the summarized cell information to the virtual twin.

[0108] In some embodiments, the intermediate functional layer sends cell information to the virtual twin through the network information acquisition layer.

[0109] S2103. The virtual twin determines a virtual twin model of the network cell.

[0110] In some embodiments, the virtual twin receives cell information of network cells sent by the intermediate functional layer.

[0111] In some embodiments, the virtual twin receives cell information of network cells sent by the network information acquisition layer.

[0112] In some embodiments, the virtual twin determines a virtual twin model of a network cell based on cell information of the network cell.

[0113] The virtual twin model is a digitized network cell, which reflects the physical characteristics, performance and behavior of the network cell.

[0114] S2104. The virtual twin determines the first information.

[0115] In some embodiments, the virtual twin determines the first information based on a virtual twin model of the network cell.

[0116] In some embodiments, the first information is used to adjust at least one of a network configuration of a network cell, a network configuration of a physical network, and a network policy.

[0117] In some embodiments, the first information includes at least one of a network configuration or a network policy to be adjusted for a network cell, and also includes a physical network entity that executes the first information.

[0118] In some embodiments, the network configuration includes at least one of the following:

[0119] Functions of core network equipment;

[0120] Capacity expansion information of core network equipment;

[0121] Configuration information of access network equipment;

[0122] Configuration information of the edge computing platform;

[0123] Data plane transmission path information within the core network.

[0124] In some embodiments, the function of the core network device includes at least one of a newly added function and a modified function of the core network device.

[0125] In some embodiments, the configuration information of the access network device includes the configuration of wireless side parameters.

[0126] In some embodiments, the configuration information of the edge computing platform includes the deployment location, deployment scale, etc. of the edge computing platform.

[0127] In some embodiments, the network policy includes at least one of the following:

[0128] Strategies for data delivery quality;

[0129] Mobility management strategies;

[0130] Terminal management strategy;

[0131] Session management strategies;

[0132] Policies related to network AI services;

[0133] Strategies for interacting with business application servers.

[0134] In some embodiments, the virtual twin determines at least one of the usage percentage of the target service of the network cell, the bandwidth occupancy, and the increase in the number of terminals within a preset time period based on the virtual twin model. If it is determined that the usage percentage exceeds the preset percentage, the bandwidth occupancy exceeds the preset occupancy, or the increase in the number of terminals exceeds the preset value, the first information is determined.

[0135] For example, when the virtual twin analyzes the cell information and believes that the usage of media services within the cell is too high and the bandwidth occupancy is too large, it will recommend that the PCF network element adjust the data transmission quality of the terminals within the coverage area of ​​the cell.

[0136] For example, when the virtual twin analyzes the cell information and believes that the number of terminals in the network cell has increased significantly at a certain moment, it will recommend that the PCF network element adjust the data transmission quality of the terminals within the cell coverage area.

[0137] For example, when the virtual twin analyzes the cell information and believes that the bandwidth usage within the network cell is too large, it will recommend that the NRF network element adjust the network configuration information, add new core network UPF functions, or expand the existing UPF to support more business information.

[0138] S2105. The virtual twin sends first information to the intermediate functional layer.

[0139] In some embodiments, the intermediate functional layer includes a network feedback layer, and the virtual twin sends the first information to the network feedback layer.

[0140] S2106. The intermediate functional layer sends first information to the physical network entity.

[0141] In some embodiments, the first information is sent to the physical network entity through a network feedback layer of the intermediate functional layer.

[0142] The physical network entity pre-configures an interface for receiving the first information. The network feedback layer calls the interface to send the first information to the physical network entity.

[0143] In some embodiments, the first information includes a physical network entity that executes the first information, so the intermediate functional layer may send the first information to the physical network entity that executes the first information.

[0144] See also Figure 2c , which exemplarily shows a schematic diagram of the network feedback layer sending the first information provided by an embodiment of the present application. As shown in the figure, the virtual twin constructs a virtual twin model of the network cell, access network equipment, core network equipment, etc. When the virtual twin analyzes the cell information and believes that the proportion of media service usage within the cell is too high and the bandwidth occupancy is too large, it will recommend the PCF network element to adjust the data transmission quality of the terminals within the coverage of the cell, so that the first information includes that the physical network entity that executes the first information is the PCF network element, and the intermediate functional layer sends the first information to the PCF network element. The NRF network element will add a service-oriented interface for network configuration suggestions, and the network feedback layer will call the service-oriented interface of the NRF to feedback the adjustment suggestions for the network configuration within the twin. It is also possible to add an interface for network configuration suggestions in the network orchestration management function entity, and the network feedback layer will feedback the adjustment suggestions for the network configuration within the twin by calling the interface. For example, when the virtual twin analyzes the cell information and believes that the bandwidth occupancy within the cell has been too large for a long time, it will recommend the network orchestration management function entity to adjust the network configuration information, such as adjusting the wireless side parameter configuration on the base station side; when the twin analyzes the cell information and believes that the proportion of low-latency services within the cell is high, it will recommend the network orchestration management function to adjust the network configuration information, such as deploying a new edge computing platform close to the base station and deploying a new UPF on the edge side, thereby reducing the latency of the service.

[0145] S2107. The physical network entity executes the first information.

[0146] For example, when the first information is used to adjust the data transmission quality of the terminal within the coverage of the cell, the physical network entity adjusts the data transmission quality of the terminal within the coverage of the cell.

[0147] The communication method involved in the embodiment of the present application may include at least one of steps S2101 to S2107. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, step S2104 may be implemented as an independent embodiment, step S2105 may be implemented as an independent embodiment, step S2106 may be implemented as an independent embodiment, step S2101+step S2102 may be implemented as an independent embodiment, may be implemented as an independent embodiment, step S2102+step S2103 may be implemented as an independent embodiment, step S2104+S2105 may be implemented as an independent embodiment, and step S2105+S2106 may be implemented as an independent embodiment, but is not limited thereto.

[0148] In some embodiments, steps S2101 to S2102 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0149] In some embodiments, steps S2103 to S2105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0150] In some embodiments, steps S2104 to S2107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0151] Compared with the related art, which usually models network elements, the embodiments of the present application propose the requirements of the digital twin network for network cell modeling. The embodiments of the present application model the network cells, and it has been verified that it has important value in reflecting the operating status of the mobile network and performing regional-level network analysis and prediction for the mobile network. By modeling the network cells instead of single users, communication equipment or network elements, the embodiments of the present application can effectively reduce the cost of the digital twin network while ensuring the digital twin service.

[0152] The information processing method of the digital twin network of the embodiment of the present application is applied to the intermediate functional layer, such as Figure 3a As shown, the method includes:

[0153] S3101. Obtain cell information of a network cell.

[0154] The optional implementation of step S3101 can be found in Figure 2a The optional implementation of step S2101 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0155] In some embodiments, the intermediate functional layer receives cell information sent by the physical network entity.

[0156] In some embodiments, the intermediate function layer obtains the cell information specified by the protocol.

[0157] In some embodiments, the middle functional layer obtains the cell information from the upper layer(s).

[0158] In some embodiments, the intermediate functional layer performs processing to obtain the cell information.

[0159] S3102. Send cell information of the network cell.

[0160] The optional implementation of step S3102 can be found in Figure 2a The optional implementation of step S2102 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0161] In some embodiments, the intermediate functional layer sends cell information to the virtual twin.

[0162] S3103. Obtain first information.

[0163] The optional implementation of step S3103 can be found in Figure 2a The optional implementation of step S2104 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0164] In some embodiments, the intermediate functional layer obtains the first information from the virtual twin.

[0165] In some embodiments, step S3103 is omitted, the intermediate functional layer autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

[0166] S3104. Send the first information.

[0167] The optional implementation of step S3104 can be found in Figure 2a The optional implementation of step S2105 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0168] In some embodiments, the intermediate functional layer sends the first information to the physical network entity.

[0169] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3104. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, step S3103 may be implemented as an independent embodiment, step S3104 may be implemented as an independent embodiment, step S3101+S3102 may be implemented as an independent embodiment, and step S3103+S3104 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0170] In some embodiments, steps S3101 and S3102 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0171] In some embodiments, steps S3103 and S3104 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0172] The information processing method of the digital twin network of the embodiment of the present application is applied to the virtual twin. The digital twin network includes a physical network entity, an intermediate functional layer and a virtual twin. The physical network entity is used to provide communication services to at least one network cell, such as Figure 3b As shown, the method includes:

[0173] S3201. Obtain cell information of a network cell.

[0174] The optional implementation of step S3201 can be found in Figure 2a The optional implementation of step S2102 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0175] In some embodiments, the virtual twin may obtain cell information of a network cell from an intermediate functional layer.

[0176] S3202. Determine a virtual twin model of the network cell.

[0177] The optional implementation of step S3202 can be found in Figure 2a The optional implementation of step S2103 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0178] S3203. Determine the first information.

[0179] The optional implementation of step S3203 can be found in Figure 2a The optional implementation of step S2104 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0180] S3204. Send the first information.

[0181] The optional implementation of step S3204 can be found in Figure 2a The optional implementation of step S2105 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0182] In some embodiments, the virtual twin may send first information to the intermediate functional layer.

[0183] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3204. For example, step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, step S3203 may be implemented as an independent embodiment, step S3204 may be implemented as an independent embodiment, step S3201+S3202 may be implemented as an independent embodiment, step S3202+S3203 may be implemented as an independent embodiment, and step S3203+S3204 may be implemented as an independent embodiment, but is not limited thereto.

[0184] In some embodiments, steps S3201 and S3202 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0185] In some embodiments, steps S3202 and S3203 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0186] In some embodiments, steps S3201 to S3203 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0187] The information processing method of the digital twin network of the embodiment of the present application is applied to a physical network entity. The digital twin network includes a physical network entity, an intermediate functional layer and a virtual twin. The physical network entity is used to provide communication services to at least one network cell, such as Figure 3c As shown, the method includes:

[0188] S3301. Send cell information of the network cell.

[0189] The optional implementation of step S3301 can be found in Figure 2a The optional implementation of step S2101 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0190] In some embodiments, the physical network entity sends cell information of the network cells to the intermediate functional layer.

[0191] S3302. Receive first information.

[0192] The optional implementation of step S3302 can be found in Figure 2a The optional implementation of step S2105 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0193] In some embodiments, the physical network entity receives the first information from an intermediate functional layer.

[0194] S3303. Execute the first information.

[0195] The optional implementation of step S3302 can be found in Figure 2a The optional implementation of step S2106 is: Figure 2a Other related parts in the embodiments involved will not be described in detail here.

[0196] The communication method involved in the embodiment of the present disclosure may include at least one of step S3301 to step S3303. For example, step S3301 may be implemented as an independent embodiment, step S3302 may be implemented as an independent embodiment, step S3303 may be implemented as an independent embodiment, step S3301+S3302 may be implemented as an independent embodiment, and step S3302+S3303 may be implemented as an independent embodiment, but it is not limited thereto.

[0197] In some embodiments, steps S3301 and S3302 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0198] In some embodiments, steps S3302 and S3303 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0199] In some embodiments, steps S3301 and S3303 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0200] Figure 4a It is a flowchart of the information processing method of the digital twin network provided in the embodiment of the present application, which is executed by the intermediate function layer, such as Figure 4a As shown, the above method includes:

[0201] S4101. Obtain cell information of network cells collected by a physical network entity.

[0202] The optional implementation of step S4101 can be found in Figure 2a Step S2101, Figure 3a Step S3101, and Figure 2a , Figure 3a Other related parts in the embodiments involved will not be described in detail here.

[0203] S4102. Send cell information to the virtual twin corresponding to the physical network entity, so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0204] The optional implementation of step S4102 can be found in Figure 2a Step S2102, Figure 3a Step S3102, and Figure 2a , Figure 3a Other related parts in the embodiments involved will not be described in detail here.

[0205] In some embodiments, the above method may include the methods of the above-mentioned embodiments of the physical network entity side, virtual twin side, etc., which will not be repeated here.

[0206] Based on the above embodiments, as an optional embodiment, it also includes:

[0207] Obtaining first information determined by the virtual twin;

[0208] Sending first information to a physical network entity;

[0209] The first information is used to instruct the physical network entity to adjust at least one of the network configuration of the network cell or the network configuration or network policy of the physical network.

[0210] Based on the above embodiments, as an optional embodiment, the cell information includes at least one of the following:

[0211] Geolocation information;

[0212] Type of coverage area;

[0213] Business statistics;

[0214] Communication quality information;

[0215] Terminal information of terminals in the cell.

[0216] Based on the above embodiments, as an optional embodiment, the geographical location information includes at least one of a center point location, a cell radius, and a base station identifier;

[0217] The types of coverage areas include at least one of residential areas, office areas, commercial areas, leisure areas, mountainous areas, and open areas with no people (the density of people in the community is significantly lower than that in other areas, such as the main coverage area of ​​the community is a river or an open space, etc.);

[0218] The business statistics information includes at least one of the business type, the business flow ratio corresponding to each business type, the peak time period of the business type, the business flow of each business type, the total business volume information, and the business peak time period;

[0219] The communication quality information includes at least one of a maximum value, a minimum value, and a mean value of an objective value for evaluating the communication quality;

[0220] The terminal information includes at least one of the statistical period, the number of terminals, the terminal type (such as vehicle-mounted terminals, smart phones, smart water meters, XR devices, etc.), and the proportion of each terminal type.

[0221] Based on the above embodiments, as an optional embodiment, the physical network entity includes at least one of a communication device, a core network device or an operation and maintenance system;

[0222] Wherein, the communication device includes at least one of a terminal and an access network device;

[0223] The core network device includes at least one of a user plane function UPF network element and a control plane function network element;

[0224] Acquiring cell information of a network cell collected by a physical network entity includes at least one of the following:

[0225] Acquire at least one of geographical location information and a type of coverage area collected by the operation and maintenance system;

[0226] Acquire at least one of communication quality information collected by the communication device and terminal information of the terminal in the cell;

[0227] Acquire at least one of the communication quality information collected by the operation and maintenance system and the terminal information of the terminal in the cell;

[0228] Obtain business statistics collected by the operation and maintenance system or core network equipment;

[0229] Acquire at least one of the communication quality information collected by the access network device and the terminal information of the terminal in the cell.

[0230] Based on the above embodiments, as an optional embodiment, the intermediate function layer includes a network information acquisition layer;

[0231] Obtain cell information of network cells collected by the physical network entity, including:

[0232] Obtain cell information of network cells collected by the physical network entity through the network information acquisition layer;

[0233] Among them, the network information acquisition layer pre-configures the data reporting protocol supported by the physical network entity;

[0234] The physical network entity pre-configures the IP address and port number of the network information acquisition layer.

[0235] Based on the above embodiments, as an optional embodiment, the intermediate layer includes a network feedback layer, and the physical network entity pre-configures an interface for receiving the first information;

[0236] Sending first information to a physical network entity includes:

[0237] The first information is sent to the physical network entity by calling an interface through the network feedback layer.

[0238] Figure 4b is a flow chart of an information processing method of a digital twin network provided in an embodiment of the present application, which is executed by a virtual twin, such as Figure 4b As shown, the above method includes:

[0239] S4201. Receive cell information of a network cell sent by the intermediate functional layer, where the cell information is collected by a physical network entity corresponding to the virtual twin.

[0240] The optional implementation of step S4201 can be found in Figure 2a Step S2102, Figure 3b Step S3201, and Figure 2a , Figure 3b Other related parts in the embodiments involved will not be described in detail here.

[0241] S4202. Determine a virtual twin model of the network cell according to the cell information.

[0242] The optional implementation of step S4202 can be found in Figure 2a Step S2103, Figure 3a Step S3203, and Figure 2a , Figure 3a Other related parts in the embodiments involved will not be described in detail here.

[0243] In some embodiments, the above method may include the method of the above-mentioned embodiments of the physical network entity side, the intermediate functional layer side, etc., which will not be repeated here.

[0244] Based on the above embodiments, as an optional embodiment, it also includes:

[0245] determining first information according to the virtual twin model;

[0246] Sending first information to the intermediate functional layer;

[0247] The first information is used to instruct the physical network entity to adjust at least one of a network configuration or a network policy of a network cell.

[0248] Based on the above embodiments, as an optional embodiment, determining the first information according to the virtual twin model includes:

[0249] Determine at least one of a usage ratio of a target service of a network cell, a bandwidth occupancy, and an increment in the number of terminals within a preset time period according to the virtual twin model;

[0250] If the usage ratio exceeds a preset ratio, the bandwidth occupancy exceeds a preset occupancy, or the terminal number increment exceeds a preset value, the first information is determined.

[0251] Based on the above embodiments, as an optional embodiment, the network configuration includes at least one of the following:

[0252] Network functions of core network equipment;

[0253] Capacity expansion information of core network equipment;

[0254] Configuration information of access network equipment;

[0255] Configuration information of the edge computing platform;

[0256] Data plane transmission path information within the core network.

[0257] Based on the above embodiments, as an optional embodiment, the network strategy includes at least one of the following:

[0258] Strategies for data delivery quality;

[0259] Mobility management strategies;

[0260] Terminal management strategy;

[0261] Session management strategies;

[0262] Policies related to network AI services;

[0263] Strategies for interacting with business application servers.

[0264] Figure 4c is a flow chart of an information processing method for a digital twin network provided in an embodiment of the present application, which is executed by a physical network entity, such as Figure 4c As shown, the above method includes:

[0265] S4301. Collect cell information of network cells.

[0266] The optional implementation of step S4301 can be found in Figure 2a Step S2101, Figure 3c Step S3201, and Figure 2a , Figure 3b Other related parts in the embodiments involved will not be described in detail here.

[0267] S4302. Send cell information to the intermediate functional layer so that the intermediate functional layer sends the cell information to the virtual twin corresponding to the physical network entity, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0268] The optional implementation of step S4302 can be found in Figure 2a Step S2101, Figure 3c Step S3201, and Figure 2a , Figure 3b Other related parts in the embodiments involved will not be described in detail here.

[0269] In some embodiments, the above method may include the methods of the above-mentioned virtual twin side, intermediate functional layer side, etc., which will not be repeated here.

[0270] Based on the above embodiments, as an optional embodiment, it also includes:

[0271] Receive first information forwarded by the intermediate functional layer, where the first information is determined by the virtual twin and is used to adjust at least one of a network configuration or a network policy of a network cell.

[0272] Execute the first message.

[0273] The embodiment of the present application also provides an information processing method. In this embodiment, the intermediate function layer belongs to a functional module of the virtual twin. Accordingly, the virtual twin also includes a model layer, and the model layer is used for at least one of the following:

[0274] Determine a virtual twin model of a network cell based on the cell information;

[0275] Determining first information according to the virtual twin model of the network cell;

[0276] Send the first message.

[0277] The embodiment of the present application determines the virtual twin model of the network cell according to the cell information, which can be referred to Figure 2a In the embodiment shown, for example, in steps S2102 and S2103, the model layer receives the cell information sent by the intermediate function layer, and determines the virtual twin model of the network cell according to the cell information. Figure 3b and / or Figure 4b The embodiments shown, for example Figure 3b Steps S3201 and S3202 in Figure 4b The steps S4201 and S4202 in the embodiment of the present application are not specifically limited.

[0278] The embodiment of the present application determines the first information according to the virtual twin model of the network cell, which can be referred to Figure 2a In the embodiment shown, for example, step S2104, the model layer determines the first information according to the virtual twin model of the network cell, and can also refer to Figure 3b The embodiments shown, for example Figure 3b Step S3203 in the present application is not specifically limited.

[0279] The first information sent in this application embodiment can refer to Figure 2a The embodiments shown, for example Figure 2a In step S2105, the model layer sends the first information to the intermediate function layer, and can also refer to Figure 3b The embodiments shown, for example Figure 3b Step S3204 in the present application is not specifically limited.

[0280] The present application embodiment provides an information processing device, which is applied to the intermediate functional layer, such as Figure 5a As shown, the device includes: a receiving module 5101 and a sending module 5102, specifically

[0281] The receiving module 5101 is used to receive the cell information of the network cell collected by the physical network entity:

[0282] The sending module 5102 is used to send the cell information to the virtual twin, so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0283] The present application embodiment provides an information processing device, which is applied to a virtual twin, such as Figure 5b As shown, the device includes: a receiving module 5201 and a processing module 5202, specifically

[0284] The receiving module 5201 is used to receive the cell information of the network cell sent by the intermediate function layer:

[0285] The processing module 5202 is used to determine a virtual twin model of a network cell according to the cell information;

[0286] Among them, the cell information is collected by the physical network entity and obtained from the physical network entity by the intermediate functional layer.

[0287] The present application embodiment provides an information processing device, which is applied to a physical network entity, such as Figure 5cAs shown, the device includes: a receiving module 5301 and a sending module 5302, specifically

[0288] The receiving module 5301 is used to collect cell information of the network cell;

[0289] The sending module 5302 is used to send the cell information to the intermediate functional layer, so that the intermediate functional layer sends the cell information to the virtual twin, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

[0290] The device of the embodiments of the present application can execute the method provided by the embodiments of the present application, and the implementation principles are similar. The actions performed by each module in the device of each embodiment of the present application correspond to the steps in the method of each embodiment of the present application. For the detailed functional description of each module of the device, please refer to the description in the corresponding method shown in the previous text, which will not be repeated here.

[0291] In an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the steps of the information processing method. Compared with the related art, the following can be achieved:

[0292] The embodiment of the present application proposes the requirements of the digital twin network for network cell modeling. The embodiment of the present application models the network cell and has been verified to have important value in reflecting the operating status of the mobile network and performing regional-level network analysis and prediction for the mobile network. The embodiment of the present application models the network cell instead of modeling a single user, communication device or network element, which can effectively reduce the cost of the digital twin network while ensuring the digital twin service.

[0293] In an alternative embodiment, an electronic device is provided, such as Figure 6 As shown, Figure 6 The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present application.

[0294] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0295] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0296] The memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store computer programs and can be read by a computer, without limitation herein.

[0297] The memory 4003 is used to store the computer program for executing the embodiment of the present application, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the above method embodiment.

[0298] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0299] The embodiment of the present application also provides a computer program product, including a computer program, which can implement the steps and corresponding contents of the aforementioned method embodiment when executed by a processor.

[0300] The terms "first", "second", "third", "fourth", "1", "2", etc. (if any) in the specification and claims of this 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 numbers used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that shown or described in the drawings.

[0301] It should be understood that, although each operation step is indicated by arrows in the flowchart of the embodiment of the present application, the implementation order of these steps is not limited to the order indicated by the arrows. Unless clearly stated herein, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flowchart can be performed in other orders according to demand. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on actual implementation scenarios. Some or all of these sub-steps or stages may be executed at the same time, and each sub-step or stage in these sub-steps or stages may also be executed at different times respectively. In different scenarios of execution time, the execution order of these sub-steps or stages may be flexibly configured according to demand, and the embodiment of the present application does not limit this.

[0302] The above are only optional implementation methods for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the scheme of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. An information processing method, characterized in that: Applied to the intermediate functional layer of the digital twin network, the method comprises: Get the cell information of the network cells collected by the physical network entity: The cell information is sent to the virtual twin corresponding to the physical network entity, so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

2. The method according to claim 1, characterized in that Also includes: Acquire first information determined by the virtual twin; Sending the first information to the physical network entity; The first information is used to instruct the physical network entity to adjust at least one of the network configuration of the network cell, the network configuration of the physical network, and the network policy.

3. The method according to claim 1, characterized in that: The cell information includes at least one of the following: Geolocation information; Type of coverage area; Business statistics; Communication quality information; Terminal information of terminals in the cell.

4. The method according to claim 3, characterized in that The geographical location information includes at least one of a center point location, a cell radius, and a base station identifier; The type of the coverage area includes at least one of a residential area, an office area, and a commercial area; The business statistical information includes at least one of business type, business traffic proportion and business peak time period; The communication quality information includes at least one of a maximum value, a minimum value, and an average value of the call quality; The terminal information includes at least one of a statistical period, a number of terminals, a terminal type, and a type ratio.

5. The method according to claim 3, characterized in that: The physical network entity includes at least one of a communication device, a core network device or an operation and maintenance system; Wherein, the communication device includes at least one of a terminal and an access network device; The core network device includes at least one of a user plane function UPF network element and a control plane function network element; The acquiring the cell information of the network cell collected by the physical network entity includes at least one of the following: Acquire at least one of the geographical location information and the type of coverage area collected by the operation and maintenance system; Acquire at least one of the communication quality information collected by the communication device and the terminal information of the terminal in the cell; Acquire at least one of the communication quality information collected by the operation and maintenance system and the terminal information of the terminal in the cell; Obtaining the service statistics information collected by the operation and maintenance system or the core network device; Acquire at least one of the communication quality information collected by the access network device and the terminal information of the terminal in the cell.

6. The method according to claim 1, characterized in that The intermediate functional layer includes a network information acquisition layer; The acquiring the cell information of the network cell collected by the physical network entity includes: Acquire cell information of the network cells collected by the physical network entity through the network information acquisition layer; Wherein, the network information acquisition layer pre-configures a data reporting protocol supported by the physical network entity; The physical network entity pre-configures the IP address and port number of the network information acquisition layer.

7. The method according to claim 2 or 6, characterized in that: The intermediate layer includes a network feedback layer, and the physical network entity pre-configures an interface for receiving the first information; The sending the first information to the physical network entity includes: The interface is called through the network feedback layer to send the first information to the physical network entity.

8. An information processing method, characterized in that: Applied to a virtual twin, the method comprises: Receive the cell information of the network cell sent by the intermediate functional layer: Determining a virtual twin model of the network cell according to the cell information; The cell information is collected by a physical network entity corresponding to the virtual twin.

9. The method according to claim 8, characterized in that Also includes: determining first information according to the virtual twin model; Sending the first information to the intermediate functional layer; The first information is used to instruct the physical network entity to adjust at least one of the network configuration of the network cell, the network configuration of the physical network, and the network policy.

10. The method according to claim 8, characterized in that The determining the first information according to the virtual twin model includes: Determine at least one of the usage ratio of the target service of the network cell, the bandwidth occupancy, and the increment of the number of terminals within a preset time period according to the virtual twin model; If the usage proportion exceeds a preset proportion, the bandwidth occupancy exceeds a preset occupancy, or the terminal number increment exceeds a preset value, the first information is determined.

11. The method according to claim 9, characterized in that The network configuration includes at least one of the following: Network functions of core network equipment; Capacity expansion information of core network equipment; Configuration information of access network equipment; Configuration information of the edge computing platform; Data plane transmission path information within the core network.

12. The method according to claim 9, characterized in that The network strategy includes at least one of the following: Strategies for data delivery quality; Mobility management strategies; Terminal management strategy; Session management strategies; Policies related to network AI services; Strategies for interacting with business application servers.

13. An information processing method, characterized in that: Applied to a physical network entity, the method comprises: Collect cell information of network cells; The cell information is sent to the intermediate functional layer so that the intermediate functional layer sends the cell information to the virtual twin corresponding to the physical network entity, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

14. The method according to claim 13, characterized in that Also includes: receiving first information forwarded by the intermediate functional layer, the first information being determined by the virtual twin and used to adjust at least one of a network configuration of the network cell, a network configuration of the physical network, and a network policy; Execute the first information.

15. An information processing device, characterized in that: Applied to the intermediate functional layer, the device comprises: A receiving module is used to receive cell information of network cells collected by a physical network entity: A sending module is used to send the cell information to the virtual twin corresponding to the physical network entity, so that the virtual twin determines the virtual twin model of the network cell according to the cell information.

16. An information processing device, characterized in that: Applied to a virtual twin, the device comprises: The receiving module is used to receive the cell information of the network cell sent by the intermediate functional layer: A processing module, configured to determine a virtual twin model of the network cell according to the cell information; The cell information is collected by a physical network entity corresponding to the virtual twin.

17. An information processing device, characterized in that: Applied to a physical network entity, the device comprises: A receiving module, used for collecting cell information of network cells; A sending module is used to send the cell information to the intermediate functional layer, so that the intermediate functional layer sends the cell information to the virtual twin corresponding to the physical network entity, and the virtual twin determines the virtual twin model of the network cell according to the cell information.

18. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 14.

19. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 14 is implemented.

Images