Wireless communication scenario simulation and device capability verification platform and method

Abstract

The application discloses a wireless communication scene simulation and device capability verification platform and method. The wireless communication scene simulation and device capability verification platform comprises a scene deduction unit, a scene modeling unit, a channel modeling unit, a model inference unit, a channel simulation unit and a management control unit. The application constructs a high-fidelity wireless communication virtual scene integrating geographical space, electromagnetic space and device space, and integrates communication and interference actual devices into the virtual scene for real-time deduction, thereby effectively solving the technical problem of verifying the capability of a wireless communication device in a simulation scene.

Description

Technical Field

[0001] This application relates to the field of wireless communication equipment technology, and more specifically, to a method and platform for wireless communication scenario simulation and equipment capability verification. Background Technology

[0002] Wireless communication is a fundamental means of information transmission, characterized by a large number and variety of devices, diverse application scenarios, complex network systems, time-varying electromagnetic environments, and high requirements for real-time performance and mobility. As wireless communication devices evolve towards networking, software integration, and intelligence, the cost of testing, verifying, and evaluating their capabilities in real-world scenarios has significantly increased. In the future, more and more wireless communication device testing, verification, and evaluation can be conducted in virtual environments.

[0003] Currently, there are two main methods for testing and verifying device capabilities in virtual environments. The first method involves software-ifying the actual device and performing scenario simulations in a fully virtual environment. The second method connects the actual device to a channel simulator to test its performance. However, both methods have certain drawbacks. The effectiveness of the first method depends on the accuracy of the device model. Due to the complexity of real wireless communication devices and the significant variations in spurious emissions and mutual disturbances between different devices of the same type, this method struggles to accurately simulate the real performance and capabilities of physical wireless communication devices. The second method does not perform scenario modeling of the real geographic space, nor does it build a channel model based on the real geographic space, making it difficult to achieve highly realistic, real-time simulation of multiple dimensions—geographic space, electromagnetic space, and device space—integrated.

[0004] In related technologies, for example, Chinese patent document (CN104753740B) describes a deep space communication simulation demonstration and verification method and system. The deep space communication simulation demonstration and verification method is implemented through a deep space communication simulation demonstration and verification system, which includes a routing and control center, a scenario simulation module, a channel simulation module, a transmission control simulation module, and a wireless transmission simulation module. The specific simulation process includes a simulation scenario configuration stage, a simulation node addition stage, and a simulation data interaction stage. Although it can implement the wireless transmission simulation module and the transmission control simulation module through both hardware and software, thus making the system a semi-physical simulation delay verification system, it cannot achieve real-time simulation of all elements in real geographic space, electromagnetic space, and equipment space.

[0005] There are currently no effective solutions to the problems existing in the relevant technologies. Summary of the Invention

[0006] The main purpose of this application is to provide a platform and method for simulating wireless communication scenarios and verifying device capabilities, so as to solve the problem that existing technologies are unable to accurately simulate the real performance of physical wireless communication devices.

[0007] To achieve the above objectives, according to one aspect of this application, a wireless communication scenario simulation and device capability verification platform is provided, comprising:

[0008] The scenario simulation unit is used to generate scenario planning information and perform simulations based on the scenario model.

[0009] Scene modeling unit, used to build scene models based on geographic information systems;

[0010] The channel modeling unit is used to build intelligent channel models based on channel measurement datasets and scenario models;

[0011] The model inference unit is used to perform real-time inference of the intelligent channel model and generate channel parameters in real time.

[0012] The channel simulation unit is used to acquire radio frequency signals and perform real-time channel simulation calculations based on channel parameters.

[0013] The management and control unit is used for unified management and control of the platform;

[0014] The scenario deduction unit outputs the generated scenario planning information to the scenario modeling unit, and performs deduction based on the scenario model. During the deduction process, the generated device status information is output to the model reasoning unit.

[0015] The scene modeling unit outputs the scene model to the scene deduction unit;

[0016] The channel modeling unit outputs the intelligent channel model obtained from deep learning to the model inference unit;

[0017] The model inference unit outputs the channel parameters obtained from the inference calculation to the channel simulation unit;

[0018] The channel simulation unit receives the radio frequency signal from the device under test, performs channel simulation calculations using channel parameters, and then sends the signal to the device under test.

[0019] Furthermore, the scenario planning information generated by the scenario simulation unit includes geographical area, number of devices, movement path, and communication plan. The generated device status information includes device model, communication frequency, transmission power, antenna type and height, location coordinates, orientation, elevation angle, and movement speed. The scenario simulation unit includes: a scenario planning module, used to generate scenario planning information, mainly providing the conversion of wireless communication devices into virtual nodes that the platform can recognize and use according to rules, inputting their deployment information into the platform, allowing users to formulate communication schemes, compile communication subnets and device working modes, and forming initial simulation data that the scenario modeling unit can use; a scenario management module, mainly enabling sandbox management of communication scenarios by arbitrarily switching and selecting different scale combat scenarios, and also enabling customized settings for planned scenarios to achieve comprehensive management of various types of data in wireless communication scenarios; a simulation calculation module, which uses the initial data generated by the scenario planning module to perform real-time dynamic control and adjustment of each communication device in the wireless communication scenario according to the communication scheme, calculates and outputs device status information; and a panoramic display and control module, which realizes basic two-dimensional and three-dimensional visualization functions, based on a unified spatiotemporal reference, dynamic rendering, spatial analysis, situational information, and special effects display capabilities, to demonstrate the situational processes at different levels of the wireless communication scenario, realizing visualization of the entire communication process.

[0020] Furthermore, the scene modeling unit constructs a high-precision scene model that includes terrain, landforms, vegetation, meteorology, hydrology, and man-made structures by intelligently fusing and identifying the aerospace big data obtained from the geographic information system.

[0021] Furthermore, the scene modeling unit includes: a scene model development module, which establishes a large-scale real-time 3D scene model of the environment by fusing multi-source data such as remote sensing image data, vector data, elevation data, meteorological and hydrological data, and 3D data to ensure complete and accurate representation of terrain data; a geographic data management service module, which provides services including image services, vector services, elevation services, place name services, street view services, oblique photography services, time-series images, real-time data services, and third-party data source services; and a scene model output module, which outputs an environment model that can be used by the scene simulation unit to perform dynamic simulation in this environment.

[0022] Furthermore, the channel modeling unit constructs a high-precision scene model based on scene modeling, and trains an artificial intelligence channel model based on the large-scale high-precision wireless channel measurement data collected in the scene, the scene model, the transmitter position, and the receiver position, to obtain a high-fidelity intelligent channel model covering different frequency bands and different scenes.

[0023] Furthermore, the model inference unit performs inference calculations based on the device status information sent by the scenario simulation unit and the intelligent channel model sent by the channel modeling unit to obtain the large-scale attenuation value and small-scale fading parameters of the wireless channel, providing channel parameters for the channel simulation unit. The model inference unit includes: a hardware / software co-inference acceleration module for model quantization, offline modeling, multi-core scheduling, operator fusion, and multi-threaded optimization; an inference model porting module for model porting and adaptation, operator customization, program debugging, and status monitoring; and a cluster scheduling management module for intelligent board configuration containerized orchestration, container-based task scheduling, and hierarchical distributed storage.

[0024] Furthermore, the management and control unit has at least the functions of user management, platform operation parameter configuration, platform hardware and software operation status monitoring, and platform operation data acquisition, storage and playback.

[0025] To achieve the above objectives, according to another aspect of this application, a method for simulating wireless communication scenarios and verifying device capabilities is provided. The wireless communication scenario simulation and device capability verification platform, employing any implementation of the above aspects, includes the following steps:

[0026] Resource allocation: The system user management is accomplished through the management and control unit, which allocates seats and related computing resources such as modeling, deduction, reasoning, and simulation.

[0027] Scene planning: The scene simulation unit completes the selection of geographical areas, equipment deployment, and generates scene planning information;

[0028] Scene modeling: The scene modeling unit selects a spatiotemporal region based on scene planning information, imports aerospace big data, and models the geographic environment through data fusion and intelligent recognition technologies to complete the scene model construction.

[0029] Channel modeling: By measuring big data through channels and importing the scene model from the scene modeling unit, an intelligent channel model is trained;

[0030] Simulation and simulation: The scenario simulation unit imports the scenario model constructed by the scenario modeling unit, and generates equipment status information during the simulation process based on the action path and communication scheme in the scenario planning information;

[0031] Model Inference: The model inference unit receives the device status information generated by the scenario simulation unit, performs inference on the intelligent channel model, and generates channel parameters in real time;

[0032] Channel simulation: The channel simulation unit receives the radio frequency signal from the device under test (DUT), uses the real-time channel parameters generated by the model inference unit to perform channel simulation calculations on the received signal, and then sends the calculated signal back to the DUT.

[0033] Management and control: The management and control unit realizes the function of monitoring the system's operating status.

[0034] The advantages of this application are: it provides a platform and method for wireless communication scenario simulation and equipment capability verification, constructing a platform that includes six units: channel simulation, scenario modeling, scenario simulation, channel simulation, model inference, and management and control. Based on real-world scenarios, it builds a highly realistic virtual wireless communication scenario integrating geospatial and electromagnetic spaces, incorporating actual communication and interference equipment into the virtual scenario for real-time simulation, effectively solving the problem of verifying the capabilities of wireless communication equipment in simulated scenarios. The wireless communication scenario simulation and equipment capability verification platform of this application can access actual equipment for channel simulation, solving the problem that existing simulation platforms cannot simulate and monitor the capability status of physical wireless communication networks. Attached Figure Description

[0035] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings:

[0036] Figure 1 This is a schematic diagram of the structure of a wireless communication scenario simulation and device capability verification platform according to an embodiment of this application;

[0037] Figure 2 This is an information flow diagram of a wireless communication scenario simulation and device capability verification platform according to an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of scene planning according to one embodiment of this application;

[0039] Figure 4 This is a scene modeling diagram according to one embodiment of this application;

[0040] Figure 5 This is a simulation diagram based on one embodiment of the present application;

[0041] Figure 6 This is a channel simulation diagram according to one embodiment of the present application. Detailed Implementation

[0042] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0043] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0044] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0045] like Figure 1 As shown, this application provides a wireless communication scenario simulation and device capability verification platform, including a scenario deduction unit, a scenario modeling unit, a channel modeling unit, a model inference unit, a channel simulation unit, and a management and control unit, wherein:

[0046] M100 Scene Simulation Unit: Used to generate scene planning information and perform simulations based on the scene model;

[0047] Specifically, the scenario planning information generated by the scenario inference unit includes: geographical area, number of devices, movement path, and communication plan. During the simulation, the device status information is generated based on the scenario model, including: device model, communication frequency, transmission power, antenna type and height, location coordinates, orientation, elevation angle, and movement speed, and is sent to the model inference unit in real time.

[0048] M200 Scene Modeling Unit: Used to build scene models based on geographic information systems;

[0049] Specifically, the scene modeling unit constructs high-precision scene models, including terrain, landforms, vegetation, meteorology, hydrology, and man-made structures, by intelligently fusing and identifying aerospace big data obtained from the geographic information system.

[0050] M300 Channel Modeling Unit: Used to develop and train intelligent channel models based on channel measurement datasets and scenario models;

[0051] Specifically, the channel modeling unit constructs a high-precision scene model based on scene modeling. It trains an artificial intelligence channel model based on large-scale high-precision wireless channel measurement data collected in the scene, the scene model, the transmitter position, and the receiver position, to obtain a high-fidelity intelligent channel model covering different frequency bands and different scenes.

[0052] M400 Model Inference Unit: Used to perform real-time inference of the intelligent channel model and generate channel parameters in real time;

[0053] Specifically, the model inference unit performs inference calculations based on the device status information sent by the scenario simulation unit and the intelligent channel model sent by the channel modeling unit to obtain the large-scale attenuation value and small-scale fading parameters of the wireless channel, providing channel parameters for the channel simulation unit.

[0054] M500 Channel Simulation Unit: Used to acquire radio frequency signals and perform real-time channel simulation calculations based on channel parameters;

[0055] Specifically, the channel simulation unit receives and collects radio frequency signals from wireless communication and interference devices, and performs channel simulation calculations based on the channel model parameters provided by the model inference unit to realistically simulate the radio wave propagation process involved in wireless communication, interference, and background signals.

[0056] M600 Management and Control Unit: Used for unified management and control of the platform, specifically including user management, platform operating parameter configuration, platform hardware and software operating status monitoring, and platform operating data acquisition, storage and playback functions.

[0057] like Figure 2 As shown, the scenario simulation unit outputs the generated scenario planning information to the scenario modeling unit, and performs simulations based on the scenario model. During the simulation, the generated device status information is output to the model inference unit. The scenario modeling unit outputs the scenario model to the scenario simulation unit. The channel modeling unit outputs the intelligent channel model obtained from deep learning to the model inference unit. The model inference unit outputs the channel parameters obtained from the inference calculation to the channel simulation unit. The channel simulation unit receives the radio frequency signal of the device under test, performs channel simulation calculations using the channel parameters, and then sends it to the device under test.

[0058] In some specific implementation schemes, the scenarios simulation unit, scenarios modeling unit, channel modeling unit, model inference unit, channel simulation unit, and management and control unit are each composed as follows:

[0059] The scenario simulation unit is designed for typical wireless communication scenarios. It plans and generates communication schemes for areas, decisions, and actions, and performs simulations to realize the virtual-real mapping of wireless communication scenarios, providing scenario simulation support for the application of wireless communication devices and channel calculation. This unit consists of a scenario planning module, a scenario management module, a simulation calculation module, and a panoramic display and control module. The scenario planning module generates scenario planning information, primarily converting wireless communication devices into virtual nodes that the platform can recognize and use according to rules, inputting their deployment information into the platform, allowing users to formulate communication schemes, design communication subnets and device operating modes, and forming initial simulation data usable by the scenario modeling unit. The scenario management module enables sandbox management of communication scenarios by arbitrarily switching between and selecting different scale combat scenarios. It also allows for customized settings of planned scenarios, achieving comprehensive management of various data within the wireless communication scenario. The simulation calculation module, using the initial data generated by the scenario planning module, performs real-time dynamic control and adjustment of each communication device in the wireless communication scenario according to the communication scheme, calculating and outputting device status information. The panoramic display and control module provides basic 2D and 3D visualization functions. Based on a unified spatiotemporal reference, dynamic rendering, spatial analysis, situational information, and special effects display capabilities, it demonstrates the situational processes at different levels of the wireless communication scenario, achieving visualization of the entire communication process.

[0060] The scene modeling unit fuses multi-source data, including remote sensing imagery, vector data, elevation data, meteorological and hydrological data, and 3D data, to establish a large-scale, real-time 3D environmental scene model, ensuring a complete and accurate representation of terrain data. This unit consists of a scene model development module, a geographic data management service module, and a scene model output module. The scene model development module fuses multi-source data, including remote sensing imagery, vector data, elevation data, meteorological and hydrological data, and 3D data, to establish a large-scale, real-time 3D environmental scene model, ensuring a complete and accurate representation of terrain data. The geographic data management service module provides services including imagery, vector data, elevation data, place name services, street view services, oblique photography services, time-series imagery, real-time data services, and third-party data source services. The scene model output module outputs an environmental model, which can be used by the scene simulation unit for dynamic simulation within that environment.

[0061] Based on large-scale, high-precision channel measurement data, the channel modeling unit constructs a high-precision scene model based on scene modeling, and uses machine learning methods to train and construct a highly realistic intelligent channel model covering different frequency bands and different scenes.

[0062] The channel simulation unit performs functions such as access to multiple channels of wireless communication and interference devices, high dynamic and wide bandwidth radio frequency signal acquisition, large-scale channel simulation matrix calculation, and fine-grained time delay and Doppler frequency offset simulation. It realistically simulates the radio wave propagation process involved in wireless communication, interference and background signals, providing a hardware-in-the-loop simulation solution for capability verification and evaluation of wireless communication devices.

[0063] The model inference unit utilizes hardware-software collaborative computing inference acceleration technologies, including model compression, operator fusion, and multi-GPU parallelism, to achieve concurrent real-time inference computation of a large number of wide-area, high-precision intelligent channel models. Based on programming framework matching and operator matching, it employs automated inference model porting technology to achieve automated porting of wide-area, high-precision intelligent channel models between heterogeneous computing platforms. Based on resource virtualization and container technology, it enables orchestration management and scheduling of scalable computing platforms, providing the channel simulation unit with massive, real-time, and accurate channel model parameters. This unit consists of a hardware-software collaborative inference acceleration module, an inference model porting module, and a cluster scheduling and management module. The hardware-software collaborative inference acceleration module is used for model quantization, offline modeling, multi-core scheduling, operator fusion, and multi-threaded optimization. The inference model porting module is used for model porting and adaptation, operator customization, program debugging, and status monitoring. The cluster scheduling and management module is used for containerized orchestration of intelligent boards, task scheduling based on container orchestration, and hierarchical distributed storage.

[0064] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0065] According to an embodiment of this application, a method for simulating wireless communication scenarios and verifying device capabilities is also provided, the method comprising:

[0066] Resource allocation: The system user management is accomplished through the management and control unit, which allocates seats and related computing resources such as modeling, deduction, inference, and simulation.

[0067] Scene planning: The scene simulation unit completes the selection of scene areas, equipment deployment, and generates scene planning information.

[0068] Scene modeling: The scene modeling unit imports aerospace big data based on the selected spatiotemporal region according to the scene planning information, and performs geographic environment modeling through data fusion and intelligent recognition technology to complete the scene model construction.

[0069] Channel modeling: Train an intelligent channel model by measuring big data through channels and importing the scene model from the scene modeling unit.

[0070] Simulation and simulation: The scenario simulation unit imports the scenario model constructed by the scenario modeling unit, plans action paths and communication schemes based on scenario planning information, and generates equipment status information during the simulation process.

[0071] Model inference: The model inference unit receives the device status information generated by the scenario inference unit, performs inference on the intelligent channel model, and generates channel parameters in real time.

[0072] Channel simulation: The channel simulation unit receives the radio frequency signal from the device under test (DUT), uses the real-time channel parameters generated by the model inference unit to perform channel simulation calculations on the received signal, and then sends the calculated signal back to the DUT.

[0073] Management and control: The management and control unit realizes the function of monitoring the system's operating status.

[0074] like Figures 3 to 6 As shown, in a specific embodiment, the specific steps of the wireless communication scenario simulation and device capability verification method are as follows:

[0075] S100: Resource allocation, completing the allocation of computing resources related to seat and scene modeling, deduction, reasoning, simulation, etc.;

[0076] S200: Scene Planning: Taking a point-to-point wireless communication system with two devices R1 and R2 as an example, scene planning requires selecting the deployment locations of devices R1 and R2 within the area and determining their communication parameters. R1 is deployed at coordinates (x1, y1) and transmits at a fixed frequency of 300MHz. R2 is deployed at coordinates (x2, y2) and receives the wireless signal from R1. The scene planning diagram is shown below. Figure 3 As shown;

[0077] S300: Scene Modeling: Taking a planned scene as an example, within the scene area, based on aerospace big data, it achieves the identification of spatial environmental information such as buildings, rivers, and forests, and outputs 3D modeling output. Based on radio monitoring big data, it achieves the location of radio stations and interference nodes, such as... Figure 4 As shown, the scene contains buildings, rivers, and forests, and the jamming station J1 is deployed at position (x3, y3).

[0078] S400: Channel Modeling: By conducting actual measurements in the area, a large amount of channel measurement data is constructed. Through this large amount of channel measurement data, and by importing spatial environment information of scene models such as buildings, rivers, and forests from the scene modeling unit, an intelligent channel model is trained. This allows for refined calculation of the impact of spatial environment information on the channel, enabling refined channel modeling between any two points within the scene area.

[0079] S500: Simulation and Deduction: Mobile path planning can be statically planned using waypoint conventions, or dynamically planned using destination autonomous navigation. For example... Figure 5 As shown, R1 moves from (x1, y1) to (x4, y4) during the simulation, and its path is L1. R2 keeps its position unchanged. During the simulation, the position coordinates, orientation, elevation angle, speed, antenna type and height of wireless communication device nodes R1, R2 and J1 are sent to the channel modeling unit and model inference unit in real time.

[0080] S600: Model Inference: Figure 5 During the movement of R1 along path L1, the channel relationship between R1 and R2 changes in real time. The intelligent channel model generated by the S400 step training, combined with the changes in R1 coordinate information obtained in real time during the S500 simulation process, is used to calculate the channel parameters between R1 and R2 in real time, and at the same time calculate the channel parameters between the jamming station J1 and the receiver R2.

[0081] S700: Channel Simulation: such as Figure 6 As shown, the three ports of the channel simulation unit are connected to the actual device RF transceiver interfaces of R1, R2, and J1 respectively. Through the real-time channel parameters generated by model inference, the multipath, fading, and Doppler channels of the R1 to R2 and J1 to R2 are calculated in real time to realize the signal level simulation of the RF port of the R2 receiver.

[0082] S800: Management and Control: The management and control unit realizes the function of monitoring the system's operating status.

[0083] Obviously, those skilled in the art should understand that the modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps as a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0084] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A wireless communication scenario simulation and equipment capability verification platform, characterized in that: include, The scenario simulation unit is used to generate scenario planning information and perform simulations based on the scenario model. Scene modeling unit, used to build scene models based on geographic information systems; The channel modeling unit is used to build intelligent channel models based on channel measurement datasets and scenario models; The model inference unit is used to perform real-time inference of the intelligent channel model and generate channel parameters in real time. The channel simulation unit is used to acquire radio frequency signals and perform real-time channel simulation calculations based on channel parameters. The management and control unit is used for unified management and control of the platform; The scenario deduction unit outputs the generated scenario planning information to the scenario modeling unit, and performs deduction based on the scenario model. During the deduction process, the generated device status information is output to the model reasoning unit. The scene modeling unit outputs the scene model to the scene deduction unit; The channel modeling unit outputs the intelligent channel model obtained from deep learning to the model inference unit; The model inference unit outputs the channel parameters obtained from the inference calculation to the channel simulation unit; The channel simulation unit receives the radio frequency signal from the device under test, performs channel simulation calculations using channel parameters, and then sends the signal to the device under test. The scenario planning information generated by the scenario simulation unit includes: geographical area, number of devices, movement path, and communication plan; The model inference unit performs inference calculations based on the device status information sent by the scenario inference unit and the intelligent channel model sent by the channel modeling unit to obtain the large-scale attenuation value and small-scale fading parameters of the wireless channel, providing channel parameters for the channel simulation unit. The model inference unit includes: The hardware and software co-inference acceleration module is used for model quantization, offline modeling, multi-core scheduling, operator fusion, and multi-threading optimization. The inference model porting module is used for model porting and adaptation, operator customization, program debugging, and status monitoring. The cluster scheduling and management module is used for intelligent board configuration and containerized orchestration, container-based task scheduling, and hierarchical distributed storage.

2. The wireless communication scenario simulation and equipment capability verification platform according to claim 1, characterized in that: The device status information generated by the scenario simulation unit includes: device model, communication frequency, transmission power, antenna type and height, position coordinates, orientation, elevation angle, and movement speed.

3. The wireless communication scenario simulation and equipment capability verification platform according to claim 1, characterized in that: The scenario simulation unit includes: The scenario planning module is used to generate scenario planning information. It mainly provides the ability to convert wireless communication devices into virtual nodes that the platform can recognize and use according to rules, input their deployment information into the platform, allow users to formulate communication schemes, compile communication subnets and device working modes, and form the initial simulation data that the scenario modeling unit can use. The scenario management module mainly enables sandbox-style management of communication scenarios by allowing users to freely switch between and select combat scenarios of different scales. At the same time, it allows for customized settings of planned scenarios, enabling comprehensive management of various types of data in wireless communication scenarios. The simulation and calculation module uses the initial data generated by the scenario planning module to perform real-time dynamic control and adjustment of each communication device in the wireless communication scenario according to the communication scheme, calculates the device status information and outputs it. The panoramic display and control module realizes basic functions of 2D and 3D visualization. Based on a unified spatiotemporal reference, dynamic rendering, spatial analysis, situation information, and special effects display capabilities, it demonstrates the situation process at different levels of wireless communication scenarios, realizing the visualization of the entire communication process.

4. The wireless communication scenario simulation and equipment capability verification platform according to claim 1, characterized in that: The scene modeling unit constructs high-precision scene models including terrain, landforms, vegetation, meteorology, hydrology, and man-made structures by intelligently fusing and identifying aerospace big data obtained from the geographic information system.

5. The wireless communication scenario simulation and equipment capability verification platform according to claim 3, characterized in that: The scene modeling unit includes: The scene model development module integrates multi-source data such as remote sensing image data, vector data, elevation data, meteorological and hydrological data, and 3D data to establish a large-scale real-time 3D scene model of the environment, ensuring a complete and accurate representation of terrain data. The geographic data management service module provides services including imagery, vector graphics, elevation, place names, street view, oblique photography, time-series imagery, real-time data, and third-party data source services. The scene model output module outputs an environment model, which is then used by the scene inference unit to perform dynamic simulations within that scene model.

6. The wireless communication scenario simulation and equipment capability verification platform according to claim 1, characterized in that: The channel modeling unit, based on the high-precision scene model constructed by scene modeling, trains an artificial intelligence channel model according to the large-scale high-precision wireless channel measurement data collected in the scene, the scene model, the transmitter position and the receiver position, to obtain a high-fidelity intelligent channel model covering different frequency bands and different scenes.

7. The wireless communication scenario simulation and equipment capability verification platform according to claim 1, characterized in that: The management and control unit has at least the functions of user management, platform operation parameter configuration, platform hardware and software operation status monitoring, and platform operation data acquisition, storage and playback.

8. A method for simulating wireless communication scenarios and verifying device capabilities, employing the wireless communication scenario simulation and device capability verification platform described in any one of claims 1 to 7, characterized in that: Includes the following steps, Resource allocation: The system user management is accomplished through the management and control unit, which allocates seats and computing resources related to modeling, deduction, reasoning, and simulation. Scene planning: The scene simulation unit completes the selection of geographical areas, equipment deployment, and generates scene planning information; Scene modeling: The scene modeling unit selects a spatiotemporal region based on scene planning information, imports aerospace big data, and models the geographic environment through data fusion and intelligent recognition technologies to complete the scene model construction. Channel modeling: By measuring big data through channels and importing the scene model from the scene modeling unit, an intelligent channel model is trained; Simulation and simulation: The scenario simulation unit imports the scenario model constructed by the scenario modeling unit, and generates equipment status information during the simulation process based on the action path and communication scheme in the scenario planning information; Model Inference: The model inference unit receives the device status information generated by the scenario simulation unit, performs inference on the intelligent channel model, and generates channel parameters in real time; Channel simulation: The channel simulation unit receives the radio frequency signal from the device under test (DUT), uses the real-time channel parameters generated by the model inference unit to perform channel simulation calculations on the received signal, and then sends the calculated signal back to the DUT. Management and control: The management and control unit realizes the function of monitoring the system's operating status.

Images