Processing method, communication device, and storage medium

Abstract

Disclosed in the present application are a processing method, a communication device, and a storage medium. The processing method comprises: a first device executing first processing on the basis of first content. The technical solution of the present application defines how to support intelligent sensing on the basis of sensing data of a user equipment or an access network device, thereby enabling the integration of sensing and intelligence.

Description

Processing methods, communication equipment and storage media Technical Field

[0001] This application relates to the field of communication technology, specifically to a processing method, communication device, and storage medium. Background Technology

[0002] In scenarios where communication and sensing are integrated, the sensing function achieves high-precision environmental perception through wireless signal analysis.

[0003] In the process of conceiving and implementing this application, the inventors discovered at least the following problems:

[0004] The existing communication protocols do not yet clearly define how the sensing function can support intelligent sensing, and this issue urgently needs to be addressed.

[0005] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Technical solutions

[0006] The main objective of this application is to provide a processing method, communication device, and storage medium, which aims to clarify how to support intelligent sensing based on the sensing data of user equipment or access network equipment, thereby supporting the integration of sensing and intelligence.

[0007] To achieve the above objectives, this application provides a processing method applicable to a first device (such as a network data analysis device), comprising the following steps:

[0008] S0: Perform the first processing based on the first content.

[0009] Optionally, the processing method further includes at least one of the following:

[0010] The first device is a network data analysis device;

[0011] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0012] The first process includes model training and / or model performance monitoring or surveillance.

[0013] Optionally, the processing method further includes at least one of the following:

[0014] Send the first request to the second device;

[0015] Send a second request to the third device;

[0016] Receive the first content of the target device sent by the third device.

[0017] Optionally, the processing method further includes at least one of the following:

[0018] At least one third device is identified based on the third device information;

[0019] Network data analysis equipment includes model training logic functions;

[0020] Terminal equipment includes SRU;

[0021] The models include AI models and / or ML models;

[0022] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0023] The third device is a sensing device;

[0024] Target equipment includes terminal equipment and / or access network equipment;

[0025] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0026] The first request includes device discovery parameters;

[0027] The first request is sent to the second device based on a configuration triggering mechanism;

[0028] The first request is sent to the second device based on the third request.

[0029] Optionally, the processing method further includes at least one of the following:

[0030] The third device information includes the configuration information of the third device;

[0031] Data source information includes terminal device information and / or access network device information;

[0032] The target region includes at least one region of interest;

[0033] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0034] The second device discovers at least one third device based on device discovery parameters;

[0035] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0036] The data quality threshold is used by a third device to determine whether to send the first content to the target device;

[0037] The sensing estimation information is calculated by a third device based on the sensing measurement data;

[0038] The first content is obtained by the third device through the fourth device;

[0039] The first content is sent by a third device, provided that the data quality threshold conditions are met.

[0040] Optionally, the processing method further includes at least one of the following:

[0041] The additional indication is whether the SRU exists;

[0042] The second device detects the third device based on additional instructions;

[0043] Receive the first message sent by the third device;

[0044] Send a fourth request to the third device.

[0045] This application also provides a processing method applicable to a second device (such as a network storage device), comprising the following steps:

[0046] S1: In response to the first request, send third device information to the first device to obtain the first content of the target device through the third device, so that the first device can perform the first processing based on the first content.

[0047] Optionally, the processing method further includes at least one of the following:

[0048] The first device is a network data analysis device;

[0049] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0050] The first process includes model training and / or model performance monitoring or surveillance.

[0051] Optionally, the processing method further includes at least one of the following:

[0052] Generate third device information based on the first request;

[0053] The first device determines at least one third device based on the information of the third device;

[0054] The first device sends a second request to the third device;

[0055] The first device receives the first content of the target device sent by the third device.

[0056] Optionally, the processing method further includes at least one of the following:

[0057] Network data analysis equipment includes model training logic functions;

[0058] Terminal equipment includes SRU;

[0059] The models include AI models and / or ML models;

[0060] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0061] The third device is a sensing device;

[0062] Target equipment includes terminal equipment and / or access network equipment;

[0063] The third device information includes the configuration information of the third device;

[0064] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0065] The first request includes device discovery parameters;

[0066] The first request is sent by the first device based on a configuration triggering mechanism;

[0067] The first request is sent by the first device based on the third request.

[0068] Optionally, the processing method further includes at least one of the following:

[0069] Data source information includes terminal device information and / or access network device information;

[0070] The target region includes at least one region of interest;

[0071] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0072] The third device is discovered based on device discovery parameters;

[0073] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0074] The data quality threshold is used by the third device to determine whether to send the target device's first content to the first device;

[0075] The sensing estimation information is calculated by a third device based on the sensing measurement data;

[0076] The first content is obtained by the third device through the fourth device;

[0077] The first content is sent from the third device to the first device if the data quality threshold conditions are met.

[0078] Optionally, the processing method further includes at least one of the following:

[0079] The additional indication is whether the SRU exists;

[0080] The third device was detected based on additional instructions;

[0081] The first device receives the first message sent by the third device;

[0082] The first device sends a fourth request to the third device.

[0083] This application also provides a processing method applicable to a third device (such as a sensing device), comprising the following steps:

[0084] S2: In response to the second request, send the first content of the target device to the first device so that the first device performs the first processing based on the first content.

[0085] Optionally, the processing method further includes at least one of the following:

[0086] The first device is a network data analysis device;

[0087] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0088] The first process includes model training and / or model performance monitoring or surveillance.

[0089] Optionally, the processing method further includes at least one of the following:

[0090] The first device sends a first request to the second device;

[0091] The first device determines at least one third device based on the information of the third device;

[0092] The first content of the target device is obtained based on the second request;

[0093] Send the first content of the target device to the first device.

[0094] Optionally, the processing method further includes at least one of the following:

[0095] Network data analysis equipment includes model training logic functions;

[0096] Terminal equipment includes SRU;

[0097] The models include AI models and / or ML models;

[0098] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0099] The third device is a sensing device;

[0100] Target equipment includes terminal equipment and / or access network equipment;

[0101] The third device information includes the configuration information of the third device;

[0102] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0103] The first request includes device discovery parameters;

[0104] The first request is sent from the first device to the second device based on a configuration triggering mechanism;

[0105] The first request is sent from the first device to the second device based on the third request.

[0106] Optionally, the processing method further includes at least one of the following:

[0107] Data source information includes terminal device information and / or access network device information;

[0108] The target region includes at least one region of interest;

[0109] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0110] The second device discovers at least one third device based on device discovery parameters;

[0111] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0112] Data quality thresholds are used to determine whether to send the first content to the target device;

[0113] The perception estimation information is calculated based on the perception measurement data;

[0114] The first content is obtained through a fourth device;

[0115] The first content is sent to the first device if it meets the data quality threshold conditions.

[0116] Optionally, the processing method further includes at least one of the following:

[0117] The additional indication is whether the SRU exists;

[0118] The second device detects the third device based on additional instructions;

[0119] Send the first message to the first device;

[0120] Receive the fourth request sent by the first device.

[0121] This application also provides a processing apparatus, the processing apparatus comprising:

[0122] The processing module is used to perform first processing based on the first content.

[0123] This application also provides a processing apparatus, the processing apparatus comprising:

[0124] The first sending module is configured to respond to a first request by sending third device information to the first device to obtain first content of the target device through the third device, so that the first device can perform first processing based on the first content.

[0125] This application also provides a processing apparatus, the processing apparatus comprising:

[0126] The second sending module is configured to, in response to a second request, send the first content of the target device to the first device, so that the first device performs the first processing based on the first content.

[0127] This application also provides a communication device, including: a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program, when executed by the processor, implements the steps of any of the processing methods described above.

[0128] The communication device in this application can be a first device (such as a network data analysis device), a second device (such as a network storage device), a third device (such as a sensing device), or a chip (such as a SOC or a baseband chip with communication functions). The specific meaning needs to be clarified in the context.

[0129] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of any of the processing methods described above.

[0130] In the technical solution of this application, the first device performs first processing based on the first content, which clarifies how to support intelligent perception based on the sensing data of user equipment or access network equipment, thereby supporting the realization of the combination of perception and intelligence. Attached Figure Description

[0131] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0132] Figure 1 is a schematic diagram of the hardware structure of a mobile terminal implementing various embodiments of this application;

[0133] Figure 2 is a communication network system architecture diagram provided in an embodiment of this application;

[0134] Figure 3 is a diagram of another communication network system architecture provided in an embodiment of this application;

[0135] Figure 4 is a schematic diagram of the hardware structure of a controller 140 provided in this application;

[0136] Figure 5 is a schematic diagram of the hardware structure of a network node 150 provided in this application;

[0137] Figure 6 is a flowchart illustrating the processing method according to the first embodiment;

[0138] Figure 7 is a flowchart illustrating the processing method according to the fourth embodiment;

[0139] Figure 8 is a flowchart illustrating the processing method according to the fifth embodiment;

[0140] Figure 9 is a schematic diagram of the interaction timing according to the sixth embodiment;

[0141] Figure 10 is a schematic diagram of the processing device provided in an embodiment of this application;

[0142] Figure 11 is a second schematic diagram of the processing device provided in an embodiment of this application;

[0143] Figure 12 is a schematic diagram of the processing device provided in an embodiment of this application.

[0144] Figure 13 is a schematic diagram of the structure of the communication device provided in the embodiment of this application.

[0145] The realization of the objectives, functional features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and textual descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concepts of this application to those skilled in the art through reference to specific embodiments.

[0146] Implementation methods of this application

[0147] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0148] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element, and / or, components, features, and elements with the same names in different embodiments of this application may have the same meaning or different meanings, the specific meaning of which must be determined by its interpretation in that specific embodiment or further in conjunction with the context of that specific embodiment.

[0149] It should be understood that although the terms first, second, third, etc., may be used herein to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this document, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if," as used herein, can be interpreted as "when," "when," or "in response to determination." Furthermore, as used herein, the singular forms "a," "an," and "the" are intended to also include the plural forms unless the context indicates otherwise. It should be further understood that the terms "comprising," "including," indicate the presence of the stated feature, step, operation, element, component, item, kind, and / or group, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, kinds, and / or groups. The terms "or," "and / or," "including at least one of the following," etc., as used in this application, can be interpreted as inclusive, or mean any one or any combination thereof. For example, "including at least one of the following: A, B, C" means "any one of the following: A; B; C; A and B; A and C; B and C; A and B and C." Similarly, "A, B, or C" or "A, B, and / or C" means "any one of the following: A; B; C; A and B; A and C; B and C; A and B and C." Exceptions to this definition only occur when the combination of elements, functions, steps, or operations is inherently mutually exclusive in some way.

[0150] It should be understood that although the steps in the flowcharts of this application's embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0151] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0152] It should be noted that step designations such as S1 and S2 are used in this document for the purpose of more clearly and concisely describing the corresponding content, and do not constitute a substantial limitation on the order. In specific implementation, those skilled in the art may execute S2 first and then S1, etc., but these should all be within the protection scope of this application.

[0153] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0154] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.

[0155] The communication device in this application may be a terminal device (such as a mobile phone), a first device (such as a network data analysis device), a second device (such as a network storage device), a third device (such as a sensing device), or a chip (such as a SOC or a baseband chip with communication functions). The specific meaning needs to be clarified according to the context.

[0156] Terminal devices can be implemented in various forms. For example, the terminal devices described in this application may include smart terminal devices such as mobile phones, tablets, laptops, handheld computers, personal digital assistants (PDAs), portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, etc., as well as fixed terminal devices such as digital TVs and desktop computers.

[0157] The following description will use a mobile terminal as an example. Those skilled in the art will understand that, apart from elements specifically designed for mobile purposes, the construction according to the embodiments of this application can also be applied to fixed-type terminal devices.

[0158] Please refer to Figure 1, which is a schematic diagram of the hardware structure of a mobile terminal implementing various embodiments of this application. The mobile terminal 100 may include: a radio frequency unit 101, a WiFi module 102, an audio output unit 103, an A / V (audio / video) input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110, and a power supply 111, etc. Those skilled in the art will understand that the mobile terminal structure shown in Figure 1 does not constitute a limitation on the mobile terminal. The mobile terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0159] The following section, with reference to Figure 1, provides a detailed description of each component of the mobile terminal:

[0160] The radio frequency unit 101 can be used for receiving and transmitting signals during information transmission or calls. Specifically, it receives downlink information from the base station and processes it with the processor 110; additionally, it transmits uplink data to the base station. Typically, the radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, etc. And / or, the radio frequency unit 101 can also communicate wirelessly with networks and other devices. The aforementioned wireless communications may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication), GPRS (General Packet Radio Service), CDMA2000 (Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution), TDD-LTE (Time Division Duplexing-Long Term Evolution), 5G, and 6G.

[0161] WiFi is a short-range wireless transmission technology. Mobile terminals using WiFi module 102 can help users send and receive emails, browse web pages, and access streaming media, providing wireless broadband internet access. Although Figure 1 shows WiFi module 102, it is understood that it is not an essential component of the mobile terminal and can be omitted as needed without altering the essence of the invention.

[0162] The audio output unit 103 can convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into audio signals and output them as sound when the mobile terminal 100 is in call signal receiving mode, call mode, recording mode, voice recognition mode, broadcast receiving mode, or other modes. Furthermore, the audio output unit 103 can also provide audio output related to specific functions performed by the mobile terminal 100 (e.g., call signal receiving sound, message receiving sound, etc.). The audio output unit 103 may include a speaker, a buzzer, etc.

[0163] The A / V input unit 104 is used to receive audio or video signals. The A / V input unit 104 may include a graphics processing unit (GPU) 1041 and a microphone 1042. The GPU 1041 processes image data of still images or videos acquired by an image capture device (such as a camera) in video capture mode or image capture mode. The processed image frames can be displayed on the display unit 106. The image frames processed by the GPU 1041 can be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 can receive sound (audio data) in operating modes such as telephone call mode, recording mode, and voice recognition mode, and can process such sound into audio data. The processed audio (voice) data can be converted into a format that can be transmitted to a mobile communication base station via the radio frequency unit 101 in telephone call mode. The microphone 1042 can implement various types of noise cancellation (or suppression) algorithms to eliminate (or suppress) noise or interference generated during the reception and transmission of audio signals.

[0164] The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor and a proximity sensor. Optionally, the ambient light sensor can adjust the brightness of the display panel 1061 according to the ambient light level, and the proximity sensor can turn off the display panel 1061 and / or backlight when the mobile terminal 100 is moved to the ear. As a type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that recognize the phone's posture (such as landscape / portrait switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc. Other sensors that may be configured in the phone, such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, and infrared sensors, will not be described in detail here.

[0165] The display unit 106 is used to display information input by the user or information provided to the user. The display unit 106 may include a display panel 1061, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0166] User input unit 107 can be used to receive input numerical or character information, and generate key signal inputs related to user settings and function control of the mobile terminal. Optionally, user input unit 107 may include touch panel 1071 and other input devices 1072. Touch panel 1071, also known as touch screen, can collect touch operations on or near the user (such as operations performed by the user using a finger, stylus, or any suitable object or accessory on or near touch panel 1071), and drive corresponding connection devices according to a pre-set program. Touch panel 1071 may include two parts: touch detection device and touch controller. Optionally, touch detection device detects the user's touch position and the signal generated by the touch operation, and transmits the signal to touch controller; touch controller receives touch information from touch detection device, converts it into touch point coordinates, sends it to processor 110, and can receive and execute commands from processor 110. And / or, touch panel 1071 can be implemented using various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may also include other input devices 1072. Optionally, other input devices 1072 may include, but are not limited to, one or more of the following: physical keyboard, function keys (such as volume control buttons, power buttons, etc.), trackball, mouse, joystick, etc., without being specifically limited here.

[0167] Optionally, the touch panel 1071 may cover the display panel 1061. When the touch panel 1071 detects a touch operation on or near it, it transmits the information to the processor 110 to determine the type of touch event. Subsequently, the processor 110 provides corresponding visual output on the display panel 1061 according to the type of touch event. Although in FIG. 1, the touch panel 1071 and the display panel 1061 are implemented as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 can be integrated to realize the input and output functions of the mobile terminal. The specific implementation is not limited here.

[0168] Interface unit 108 serves as an interface through which at least one external device can connect to mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, etc. Interface unit 108 may be used to receive input (e.g., data, power, etc.) from the external device and transmit the received input to one or more components within mobile terminal 100, or it may be used to transmit data between mobile terminal 100 and the external device.

[0169] The memory 109 can be used to store software programs and various data. The memory 109 may primarily include a program storage area and a data storage area. Optionally, the program storage area may store the operating system, applications required for at least one function (such as sound playback, image playback, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). And / or, the memory 109 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0170] The processor 110 is the control center of the mobile terminal. It connects various parts of the mobile terminal via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 109, and by calling data stored in the memory 109, it performs various functions and processes data of the mobile terminal, thereby providing overall monitoring of the mobile terminal. The processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor. Optionally, the application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 110.

[0171] The mobile terminal 100 may also include a power supply 111 (such as a battery) that supplies power to various components. Preferably, the power supply 111 can be logically connected to the processor 110 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system.

[0172] Although not shown in Figure 1, the mobile terminal 100 may also include a Bluetooth module, etc., which will not be described in detail here.

[0173] To facilitate understanding of the embodiments of this application, the communication network system on which the mobile terminal of this application is based is described below.

[0174] Please refer to Figure 2, which is a communication network system architecture diagram provided in an embodiment of this application. The communication network system is a New Radio (NR) system based on general mobile communication technology. The NR system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and the operator's IP services 204, which are connected in sequence.

[0175] Optionally, UE201 can be the aforementioned terminal device 100, which will not be described in detail here.

[0176] E-UTRAN202 includes eNodeB2021 and other eNodeB2022, etc. Optionally, eNodeB2021 can connect to other eNodeB2022 via backhaul (e.g., X2 interface), and eNodeB2021 connects to EPC203, providing access from UE201 to EPC203.

[0177] EPC203 may include MME (Mobility Management Entity) 2031, HSS (Home Subscriber Server) 2032, other MMEs 2033, SGW (Serving Gateway) 2034, PGW (Packet Data Network Gateway) 2035, and PCRF (Policy and Charging Rules Function) 2036, etc. Optionally, MME2031 is the control node that handles signaling between UE201 and EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as the Home Location Register (not shown in the figure) and stores user-specific information such as service characteristics and data rates. All user data can be sent through SGW2034. PGW2035 can provide UE 201 IP address allocation and other functions. PCRF2036 is the policy and charging control decision point for service data flow and IP bearer resources. It selects and provides available policy and charging control decisions for the policy and charging enforcement function unit (not shown in the figure).

[0178] IP services 204 may include the Internet, intranet, IMS (IP Multimedia Subsystem), or other IP services.

[0179] Although the above description uses the LTE system as an example, those skilled in the art should know that this application is not only applicable to the LTE system, but also to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, 5G and future new network systems (such as 6G), etc., without limitation.

[0180] Please refer to Figure 3, which is another communication network system architecture diagram provided in the embodiments of this application. The communication network system is a NR (New Radio) system of general mobile communication technology, which is at least applied to 5G systems. The network functions (NF) of the communication network system architecture may include: AUSF (Authentication Service Function), AMF (Access and Mobility Management Function), DN (Data Network) (e.g., operator services, Internet access or third-party services), NEF (Network Exposure Function), NRF (Network Repository Function), NSACF (Network Slice Admission Control Function), NSSAAF (Network Slice-Specific and SNPN Authentication and Authorization Function), NSSF (Network Slice Selection Function), PCF (Policy Control Function), SMF (Session Management Function), UDM (Unified Data Management), UPF (User Plane Function), AF (Application Function), UE (User Equipment), (R)AN ((Radio) Access Network), and EASDF (Edge Application Server Discovery Function).

[0181] In addition, the communication network system architecture may also include the following network entities: SCP (Service Communication Agent) and multiple interfaces. Among them, interface N1 is the interface between UE and AMF, N2 is the interface between RAN and AMF, interface N3 is the interface between RAN and UPF, N4 is the interface between UPF and SMF, N6 is the interface between UPF and DN, and N9 is the interface between UPFs.

[0182] In addition, the communication network system architecture may also include the following service-based interfaces: Namf, Nsmf, Nnef, Npcf, Nudm, Naf, Nnrf, Nnsacf, Nnssf, Nnssaaf, Nausf, Neasdf, and Nupf, where Namf is the service-based interface presented by AMF, Nsmf is the service-based interface presented by SMF, Nnef is the service-based interface presented by NEF, Npcf is the service-based interface presented by PCF, Nudm is the service-based interface presented by UDM, Naf is the service-based interface presented by AF, Nnrf is the service-based interface presented by NRF, Nnsacf is the service-based interface presented by NSACF, Nnssf is the service-based interface presented by NSSF, Nnssaaf is the service-based interface presented by NSSAAF, Nausf is the service-based interface presented by AUSF, Neasdf is the service-based interface presented by EASDF, and Nupf is the service-based interface presented by UPF.

[0183] Although the above description uses LTE and NR systems as examples, those skilled in the art should know that this application is not only applicable to LTE and NR systems, but also to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, 5GA, and future new network systems (such as 6G), etc., without limitation here.

[0184] Figure 4 is a schematic diagram of the hardware structure of a controller 140 provided in this application. The controller 140 includes a memory 1401 and a processor 1402. The memory 1401 is used to store program instructions, and the processor 1402 is used to call the program instructions in the memory 1401 to execute the steps performed by the controller in the first embodiment of the above method. The implementation principle and beneficial effects are similar, and will not be described again here.

[0185] Optionally, the controller further includes a communication interface 1403, which can be connected to the processor 1402 via a bus 1404. The processor 1402 can control the communication interface 1403 to implement the receiving and sending functions of the controller 140.

[0186] Figure 5 is a schematic diagram of the hardware structure of a network node 150 provided in this application. The network node 150 includes a memory 1501 and a processor 1502. The memory 1501 is used to store program instructions, and the processor 1502 is used to call the program instructions in the memory 1501 to execute the steps performed by the first node in the above-described method embodiment. The implementation principle and beneficial effects are similar, and will not be described again here.

[0187] Optionally, the controller further includes a communication interface 1503, which can be connected to the processor 1502 via a bus 1504. The processor 1502 can control the communication interface 1503 to implement the receiving and sending functions of the network node 150.

[0188] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.

[0189] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted from one storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk, SSD), etc.

[0190] Based on the above-described mobile terminal hardware structure and communication network system, various embodiments of this application are proposed.

[0191] Technical terms used in this embodiment:

[0192] 5GC: 5G Core Network;

[0193] AI / ML: Artificial Intelligence / Machine Learning;

[0194] AMF: Access and Mobility Management Function;

[0195] AOI: Area of ​​Interest;

[0196] ID: Identity Document, ID card identification number;

[0197] MTLF: Model Training Logical Function;

[0198] NR: New Radio;

[0199] NRF: Network Repository Function;

[0200] NWDAF: Network Data Analytics Function;

[0201] (R)AN: (Radio)Access Network;

[0202] NG-RAN: Next Generation Radio Access Network;

[0203] SRU: Sensing Reference Unit;

[0204] UE: User Equipment;

[0205] SENF: Sensing Function;

[0206] SUPI: Subscription Permanent Identifier.

[0207] First Embodiment

[0208] Referring to Figure 6, which is a flowchart illustrating the processing method of the first embodiment of this application, the processing method of this embodiment can be applied to a first device (such as a network data analysis device), including step S0:

[0209] Step S0: The first device performs the first processing based on the first content.

[0210] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0211] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0212] Optionally, the sensing operation-related data includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information.

[0213] Optionally, the terminal equipment includes SRU and / or UE.

[0214] Optionally, the access network equipment includes RAN and / or NG-RAN.

[0215] Optionally, the first process includes model training and / or model performance monitoring or surveillance.

[0216] Optionally, the model includes AI models and / or ML models.

[0217] Optionally, the first device (such as a network data analysis device) includes a model training logic function (MTLF).

[0218] Optionally, the first device utilizes model training logic to perform model training and / or model performance monitoring or surveillance based on the first content.

[0219] Optionally, the first device receives the first content of the target device sent by the third device.

[0220] Optionally, the first device sends a second request to the third device to obtain the first content of the target device.

[0221] Optionally, the third device is a sensing device, such as a SENF network element.

[0222] Optionally, the target device includes terminal equipment and / or access network equipment.

[0223] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information.

[0224] Optionally, the third device receives a second request sent by the first device to obtain the first content of the target device based on the second request.

[0225] Optionally, the third device is determined by the first device based on the information of the third device.

[0226] Optionally, the third device information includes the configuration information of the third device, such as the SENF configuration file.

[0227] Optionally, the first device sends a first request to the second device to obtain information about the third device.

[0228] Optionally, the first device invokes the Nnrf_NFDiscovery_Request service operation to the second device, sending a first request to the second device to obtain information about the third device.

[0229] Optionally, the first request may be triggered based on a configuration triggering mechanism and / or a third request.

[0230] Optionally, the first request is sent from the first device to the second device based on a configuration triggering mechanism.

[0231] Optionally, the first request is sent by the first device to the second device based on the third request.

[0232] Optionally, the second device is a network storage device, such as an NRF network element.

[0233] Optionally, the triggering mechanism can be configured as an internal trigger of the first device.

[0234] Optionally, the third request is a request from a third device for requesting a model or model-related services.

[0235] Optionally, the first request may include device discovery parameters.

[0236] Optionally, the device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0237] Optionally, the target area information is AOI information.

[0238] Optionally, the third device-related service information is the Nsenf_DataExposure service information.

[0239] Optionally, the additional indication is an indication of whether the SRU exists.

[0240] Optionally, when the first device needs to collect data related to the sensing operation of the SRU, the first device adds additional indications to the device discovery parameters, such as an indication of the presence of the SRU.

[0241] Optionally, the second device receives a first request sent by the first device to determine or generate third device information based on the first request.

[0242] Optionally, the second device discovers at least one third device based on device discovery parameters to identify or generate third device information.

[0243] Optionally, the second device discovers the third device based on additional instructions.

[0244] Optionally, the second device discovers at least one third device within the AOI based on the AOI information and the Nsenf_DataExposure service information, in order to identify or generate third device information.

[0245] Optionally, the second device discovers at least one third device associated with the SRU based on additional instructions in order to identify or generate third device information.

[0246] Optionally, the second device discovers or selects at least one third device associated with the SRU within the AOI based on the AOI information, Nsenf_DataExposure service information, and additional instructions, in order to identify or generate third device information.

[0247] Optionally, the second device sends a response message corresponding to the first request to the first device, such as Nnrf_NFDiscovery_Request Response.

[0248] Optionally, the response message corresponding to the first request includes information about the third device.

[0249] The technical solution of this embodiment specifically demonstrates how a first device (such as a network data analysis device) performs a first process based on the first content, thereby clarifying how to support intelligent perception based on the perception data of user equipment or access network equipment, and thus support the realization of the combination of perception and intelligence.

[0250] Second Embodiment

[0251] Based on any of the foregoing embodiments of this application, a second embodiment of this application is proposed. This embodiment mainly describes a processing method for the first content used for model training in a scenario combining perception and intelligence.

[0252] Specifically, the first device performs model training based on the first content to obtain a trained model, and then exposes the trained model to network elements (such as SENF) in the communication network to provide model-related services to support intelligent perception.

[0253] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0254] Optionally, the model includes AI models and / or ML models.

[0255] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0256] Optionally, the sensing operation-related data includes at least one of sensing measurement data and data quality indicators.

[0257] Optionally, the data quality metric is a quality assessment value for the perceived measurement data, such as accuracy and / or confidence.

[0258] Optionally, the terminal equipment includes SRU and / or UE.

[0259] Optionally, the access network equipment includes RAN and / or NG-RAN.

[0260] Optionally, the first device (such as a network data analysis device) includes model training logic functionality.

[0261] Optionally, the model training logic function is used to train the model based on the first content to obtain the trained model.

[0262] Optionally, the first device may expose the trained model to network elements (e.g., SENF) in the communication network and provide model-related services, such as exposing the model's storage address to the SENF.

[0263] Optionally, the first device receives the first content of the target device sent by the third device.

[0264] Optionally, the first content of the target device is collected by a third device based on a second request.

[0265] Optionally, the third device is a sensing device, such as a SENF network element.

[0266] Optionally, the target device includes terminal equipment and / or access network equipment.

[0267] Optionally, the first device sends a second request to the third device, so that the third device can obtain the first content of the target device based on the second request.

[0268] Optionally, the first device sends a second request to the third device by invoking the Nsenf_DataExposure_Subscribe service operation to subscribe to the first content of the target device.

[0269] Optionally, the third device receives the second request and returns a subscription response message to the first device to indicate the subscription status of the first content to the first device based on the subscription response message.

[0270] Optionally, the first device sends a fourth request to the third device to cause the third device to stop sending the first content of the target device.

[0271] Optionally, if the first device successfully subscribes to the first content from the third device, the first device may at any time send a fourth request to the third device by invoking the Nsenf_DataExposure_UnSubscribe service operation to unsubscribe from the first content of the target device.

[0272] Optionally, the third device executes a data collection procedure based on the second request to collect the first content of the target device.

[0273] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, and data source information.

[0274] Optionally, the target area includes at least one region of interest.

[0275] Optionally, the data source information includes terminal device information and / or access network device information.

[0276] Optionally, the data source information is the type information of the data source.

[0277] Optionally, the data source type can be UE and / or NG-RAN.

[0278] Optionally, the third device may determine the collection area and data source of the first content based on the target area information and / or data source information.

[0279] Optionally, the third device determines the data source based on the terminal device information and / or access network device information.

[0280] Optionally, the third device determines the data source type as a terminal device based on the terminal device information, and selects a target device of type terminal device.

[0281] Optionally, the third device determines the data source type as an access network device based on the access network device information, and selects a target device of type access network device.

[0282] Optionally, the third device selects at least one target device within the target area based on the target area information to obtain the first content of the target device.

[0283] Optionally, the third device selects at least one target device within the target area that meets the requirements of the data source information, based on the target area information and the data source information, to obtain the first content of the target device.

[0284] Optionally, the third device collects first content that meets the requirements of data sample parameters and / or data quality thresholds.

[0285] Optionally, the third device may send the collected first content to the first device by invoking the Nlmf_DataExposure_Notify service operation.

[0286] The technical solution of this embodiment specifically demonstrates how to train a model based on the first content by using a first device (such as a network data analysis device) to train the model. This model is then made available to communication network elements (such as SENF) to support intelligent sensing and thus enable the integration of sensing and intelligence.

[0287] Third Embodiment

[0288] Based on any of the above embodiments of this application, a third embodiment of this application is proposed. This embodiment mainly describes a processing method for model performance monitoring or surveillance in a scenario combining perception and intelligence.

[0289] Specifically, the first device performs model performance monitoring or surveillance based on the first content. By monitoring or surveillance whether the model performance meets the requirements, the first device decides whether to start a new model training task, thereby providing model-related services to network elements (such as SENF) in the communication network to support intelligent perception.

[0290] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0291] Optionally, the model includes AI models and / or ML models.

[0292] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0293] Optionally, the sensing operation-related data includes at least one of sensing measurement data, data quality indicators, and sensing estimation information.

[0294] Optionally, the perception estimation information is calculated based on the perception measurement data.

[0295] Optionally, the first device (such as a network data analysis device) includes model training logic functionality.

[0296] Optionally, the model training logic function is used to monitor or detect model performance based on the first content, so that the first device can decide whether to start a new model training task.

[0297] Optionally, the first device receives the first content of the target device sent by the third device.

[0298] Optionally, the third device is a sensing device, such as a SENF network element.

[0299] Optionally, the target device includes terminal equipment and / or access network equipment.

[0300] Optionally, the first device sends a second request to the third device, so that the third device can obtain the first content of the target device based on the second request.

[0301] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information.

[0302] Optionally, the second request may also include a target notification address, so that the third device returns the first content of the target device to the target notification address.

[0303] Optionally, a model identifier is used to uniquely identify the model.

[0304] Optionally, the data sample parameters include the number of data samples and / or the sampling time window of the data samples.

[0305] Optionally, the data quality threshold is used by the third device to confirm whether to send the first content to the target device.

[0306] Optionally, the third device executes a data collection procedure based on the second request to collect the first content of the target device.

[0307] Optionally, the third device acquires or selects a model based on a model identifier.

[0308] Optionally, the third device sends a request to the first device based on the model identifier to obtain the model corresponding to the model identifier.

[0309] Optionally, the third device selects a model from the local device based on the model identifier.

[0310] Optionally, the third device calculates the sensing estimation information based on the sensing measurement data.

[0311] Optionally, the perception estimation information includes perception estimation information of at least one of the following: the area around the SRU and / or UE, the target area, and the area around the target area.

[0312] Optionally, the third device calculates the collected sensing measurement data based on the model identified by the model identifier to obtain sensing estimation information.

[0313] Optionally, a third device collects the first content that meets the data sample quantity requirements.

[0314] Optionally, a third device collects the first content within the sampling time window of the data sample.

[0315] Optionally, the third device collects first content that meets the data sample quantity requirement within the data sample sampling time window, based on the data sample quantity and the data sample sampling time window.

[0316] Optionally, if the collected first content does not meet the data sample quantity requirement, the third device sends a first message to the first device.

[0317] Optionally, the first message is a reason code to inform the first device why it was unable to collect the first content that meets the data sample quantity requirement.

[0318] Optionally, the first device receives the first message sent by the third device.

[0319] Optionally, the third device may select the first content that meets the data quality threshold conditions based on data quality indicators.

[0320] Optionally, if the first content meets the data quality threshold condition, the third device sends the first content to the first device, so that the first device performs the first processing based on the first content.

[0321] Optionally, the third device obtains the first content through the fourth device.

[0322] Optionally, the third device subscribes to target device information from the fourth device to identify at least one target device based on the target device information in order to obtain the first content of the target device.

[0323] Optionally, the fourth device is an access and mobility management device, such as an AMF network element.

[0324] Optionally, the target device information is a SUPI list and / or a base station ID list.

[0325] Optionally, the third device, based on the second request, determines at least one target device from the target device information to obtain the first content of the target device.

[0326] The technical solution of this embodiment specifically uses a first device (such as a network data analysis device) to perform model performance monitoring or surveillance based on the first content. This clarifies that the model performance is monitored or surveillance is performed based on the perception data of the user equipment or access network equipment to determine whether a new model training task needs to be started, so as to provide model-related services for communication network elements (such as SENF) to support intelligent perception, thereby supporting the realization of the combination of perception and intelligence.

[0327] Fourth embodiment

[0328] Referring to Figure 7, which is a flowchart illustrating the processing method of the fourth embodiment of this application, the processing method of this embodiment can be applied to a second device (such as a network storage device), and includes step S1:

[0329] Step S1: In response to the first request, the second device sends third device information to the first device to obtain the first content of the target device through the third device, so that the first device can perform the first processing based on the first content.

[0330] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0331] Optionally, the second device is a network storage device, such as an NRF network element.

[0332] Optionally, the third device is a sensing device, such as a SENF network element.

[0333] Optionally, the target device includes terminal equipment and / or access network equipment.

[0334] Optionally, the first request may include device discovery parameters.

[0335] Optionally, the third device information includes the configuration information of the third device, such as the SENF configuration file.

[0336] Optionally, the first process includes model training and / or model performance monitoring or surveillance.

[0337] Optionally, the model includes AI models and / or ML models.

[0338] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0339] Optionally, the perception estimation information is calculated based on the perception measurement data.

[0340] Optionally, the data quality metric is a quality assessment value for the perceived measurement data, such as accuracy and / or confidence.

[0341] Optionally, the terminal equipment includes a UE and / or an SRU.

[0342] Optionally, the access network equipment includes RAN and / or NG-RAN.

[0343] Optionally, the first device (such as a network data analysis device) includes model training logic functionality.

[0344] Optionally, the model training logic function is used to train the model based on the first content to obtain the trained model.

[0345] Optionally, the model training logic function is used to monitor or detect model performance based on the first content, so that the first device can decide whether to start a new model training task.

[0346] Optionally, the first device may expose the trained model to network elements (e.g., SENF) in the communication network and provide model-related services, such as exposing the model's storage address to the SENF.

[0347] Optionally, the first request may be triggered based on a configuration triggering mechanism and / or a third request.

[0348] Optionally, the first request is sent from the first device to the second device based on a configuration triggering mechanism.

[0349] Optionally, the first request is sent by the first device to the second device based on the third request.

[0350] Optionally, the triggering mechanism can be configured as an internal trigger of the first device.

[0351] Optionally, the third request is a request from a third device for requesting a model or model-related services.

[0352] Optionally, the first device invokes the Nnrf_NFDiscovery_Request service operation to the second device, sending a first request to the second device to obtain information about the third device.

[0353] Optionally, the second device receives the first request sent by the first device.

[0354] Optionally, the second device determines or generates third device information based on the first request.

[0355] Optionally, the second device discovers at least one third device based on device discovery parameters to identify or generate third device information.

[0356] Optionally, the device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0357] Optionally, the target area information is AOI information.

[0358] Optionally, the third device-related service information is the Nsenf_DataExposure service information.

[0359] Optionally, the additional indication is an indication of whether the SRU exists.

[0360] Optionally, the second device discovers the third device based on additional instructions.

[0361] Optionally, when the first device needs to collect data related to the sensing operation of the SRU, the first device adds additional indications to the device discovery parameters, such as an indication of the presence of the SRU.

[0362] Optionally, the second device discovers at least one third device within the AOI based on the AOI information and the Nsenf_DataExposure service information, in order to identify or generate third device information.

[0363] Optionally, the second device discovers at least one third device associated with the SRU based on additional instructions in order to identify or generate third device information.

[0364] Optionally, the second device discovers or selects at least one third device associated with the SRU within the AOI based on the AOI information, Nsenf_DataExposure service information, and additional instructions, in order to identify or generate third device information.

[0365] Optionally, the second device sends a response message corresponding to the first request to the first device, such as Nnrf_NFDiscovery_Request Response.

[0366] Optionally, the response message corresponding to the first request includes information about the third device.

[0367] Optionally, the first device determines at least one third device based on the third device information.

[0368] Optionally, the first device sends a second request to the third device, so that the third device can obtain the first content of the target device based on the second request.

[0369] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information.

[0370] Optionally, the target area includes at least one region of interest.

[0371] Optionally, the data sample parameters include the number of data samples and / or the sampling time window of the data samples.

[0372] Optionally, the data quality threshold is used by the third device to confirm whether to send the first content to the target device.

[0373] Optionally, if the first device performs model performance monitoring or surveillance based on the first content, the second request may include a model identifier.

[0374] Optionally, when the first device performs model performance monitoring or surveillance based on the first content, the perception operation-related data includes perception estimation information.

[0375] Optionally, a model identifier is used to uniquely identify the model.

[0376] Optionally, the data source information includes terminal device information and / or access network device information.

[0377] Optionally, the data source information is the type information of the data source.

[0378] Optionally, the data source type can be UE and / or NG-RAN.

[0379] Optionally, the second request may also include a target notification address, so that the third device returns the first content of the target device to the target notification address.

[0380] Optionally, the first device sends a second request to the third device by invoking the Nsenf_DataExposure_Subscribe service operation to subscribe to the first content of the target device.

[0381] Optionally, the third device receives the second request sent by the first device and returns a subscription response message to the first device to indicate the subscription status of the first content to the first device based on the subscription response message.

[0382] Optionally, the third device executes a data collection procedure based on the second request to collect the first content of the target device.

[0383] Optionally, the third device may determine the collection area and data source of the first content based on the target area information and / or data source information.

[0384] Optionally, the third device determines the data source based on the terminal device information and / or access network device information.

[0385] Optionally, the third device determines the data source type as a terminal device based on the terminal device information, and selects a target device of type terminal device.

[0386] Optionally, the third device determines the data source type as an access network device based on the access network device information, so as to select a target device of type terminal device.

[0387] Optionally, the third device selects at least one target device within the target area based on the target area information to obtain the first content of the target device.

[0388] Optionally, the third device selects at least one target device within the target area that meets the requirements of the data source information, based on the target area information and the data source information, to obtain the first content of the target device.

[0389] Optionally, the third device obtains the first content through the fourth device.

[0390] Optionally, the third device subscribes to target device information from the fourth device to identify at least one target device based on the target device information in order to obtain the first content of the target device.

[0391] Optionally, the fourth device is an access and mobility management device, such as an AMF network element.

[0392] Optionally, the target device information is a SUPI list and / or a base station ID list.

[0393] Optionally, the third device, based on the second request, determines at least one target device from the target device information to obtain the first content of the target device.

[0394] Optionally, the third device acquires or selects a model based on a model identifier.

[0395] Optionally, the third device sends a request to the first device based on the model identifier to obtain the model corresponding to the model identifier.

[0396] Optionally, the third device selects a model from the local device based on the model identifier.

[0397] Optionally, the third device calculates the sensing estimation information based on the sensing measurement data.

[0398] Optionally, the perception estimation information includes perception estimation information of at least one of the following: the area around the SRU and / or UE, the target area, and the area around the target area.

[0399] Optionally, the third device calculates the collected sensing measurement data based on the model identified by the model identifier to obtain sensing estimation information.

[0400] Optionally, the third device collects first content that meets the requirements of data sample parameters and / or data quality thresholds.

[0401] Optionally, a third device collects the first content that meets the data sample quantity requirements.

[0402] Optionally, a third device collects the first content within the sampling time window of the data sample.

[0403] Optionally, the third device collects first content that meets the data sample quantity requirement within the data sample sampling time window, based on the data sample quantity and the data sample sampling time window.

[0404] Optionally, the third device sends the first content of the target device to the first device.

[0405] Optionally, the third device may select the first content that meets the data quality threshold conditions based on data quality indicators.

[0406] Optionally, the third device may send the first content to the first device if the first content meets the data quality threshold condition.

[0407] Optionally, the third device may send the collected first content to the first device by invoking the Nlmf_DataExposure_Notify service operation.

[0408] Optionally, if the collected first content does not meet the data sample quantity requirement, the third device sends a first message to the first device.

[0409] Optionally, the first message is a reason code to inform the first device why it was unable to collect the first content that meets the data sample quantity requirement.

[0410] Optionally, the first device receives the first message sent by the third device.

[0411] Optionally, the first device receives the first content of the target device sent by the third device, and performs the first processing based on the first content.

[0412] Optionally, the first device sends a fourth request to the third device to cause the third device to stop sending the first content of the target device.

[0413] Optionally, if the first device successfully subscribes to the first content from the third device, the first device may at any time send a fourth request to the third device by invoking the Nsenf_DataExposure_UnSubscribe service operation to unsubscribe from the first content of the target device.

[0414] In this embodiment, the second device responds to the first request and sends information about the third device to the first device to obtain the first content of the target device. This allows the first device to perform the first processing based on the first content. Through the interaction between the first device and the second device, the first device obtains the first content and supports intelligent sensing based on the sensing data of the user device or access network device, thereby supporting the integration of sensing and intelligence.

[0415] Fifth Embodiment

[0416] Referring to Figure 8, which is a flowchart illustrating the processing method of the fifth embodiment of this application, the processing method of this embodiment can be applied to a third device (such as a sensing device), including step S2:

[0417] Step S2: In response to the second request, the third device sends the first content of the target device to the first device so that the first device performs the first processing based on the first content.

[0418] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0419] Optionally, the third device is a sensing device, such as a SENF network element.

[0420] Optionally, the target device includes terminal equipment and / or access network equipment.

[0421] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information.

[0422] Optionally, the first process includes model training and / or model performance monitoring or surveillance.

[0423] Optionally, the model includes AI models and / or ML models.

[0424] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0425] Optionally, the sensing operation-related data includes at least one of sensing measurement data, data quality indicators, and sensing estimation information.

[0426] Optionally, the perception estimation information is calculated based on the perception measurement data.

[0427] Optionally, the data quality metric is a quality assessment value for the perceived measurement data, such as accuracy and / or confidence.

[0428] Optionally, the terminal equipment includes a UE and / or an SRU.

[0429] Optionally, the access network equipment includes RAN and / or NG-RAN.

[0430] Optionally, the first device (such as a network data analysis device) includes model training logic functionality.

[0431] Optionally, the model training logic function is used to train the model based on the first content to obtain the trained model.

[0432] Optionally, the model training logic function is used to monitor or detect model performance based on the first content, so that the first device can decide whether to start a new model training task.

[0433] Optionally, the first device may expose the trained model to network elements (e.g., SENF) in the communication network and provide model-related services, such as exposing the model's storage address to the SENF.

[0434] Optionally, the first device sends a second request to the third device, so that the third device can obtain the first content of the target device based on the second request.

[0435] Optionally, the first device sends a second request to the third device by invoking the Nsenf_DataExposure_Subscribe service operation to subscribe to the first content of the target device.

[0436] Optionally, the first device sends a fourth request to the third device to cause the third device to stop sending the first content of the target device.

[0437] Optionally, if the first device successfully subscribes to the first content from the third device, the first device may at any time send a fourth request to the third device by invoking the Nsenf_DataExposure_UnSubscribe service operation to unsubscribe from the first content of the target device.

[0438] Optionally, the third device receives the second request and returns a subscription response message to the first device to indicate the subscription status of the first content to the first device based on the subscription response message.

[0439] Optionally, the third device executes a data collection procedure based on the second request to collect the first content of the target device.

[0440] Optionally, the target area includes at least one region of interest.

[0441] Optionally, the data sample parameters include the number of data samples and / or the sampling time window of the data samples.

[0442] Optionally, the data quality threshold is used by the third device to confirm whether to send the first content to the target device.

[0443] Optionally, a model identifier is used to uniquely identify the model.

[0444] Optionally, the data source information includes terminal device information and / or access network device information.

[0445] Optionally, the data source information is the type information of the data source.

[0446] Optionally, the data source type can be UE and / or NG-RAN.

[0447] Optionally, the second request may also include a target notification address, so that the third device returns the first content of the target device to the target notification address.

[0448] Optionally, the third device may determine the collection area and data source of the first content based on the target area information and / or data source information.

[0449] Optionally, the third device determines the data source based on the terminal device information and / or access network device information.

[0450] Optionally, the third device determines the data source type as a terminal device based on the terminal device information, and selects a target device of type terminal device.

[0451] Optionally, the third device determines the data source type as an access network device based on the access network device information, so as to select a target device of type terminal device.

[0452] Optionally, the third device selects at least one target device within the target area based on the target area information to obtain the first content of the target device.

[0453] Optionally, the third device selects at least one target device within the target area that meets the requirements of the data source information, based on the target area information and the data source information, to obtain the first content of the target device.

[0454] Optionally, the third device obtains the first content through the fourth device.

[0455] Optionally, the third device subscribes to target device information from the fourth device to identify at least one target device based on the target device information in order to obtain the first content of the target device.

[0456] Optionally, the fourth device is an access and mobility management device, such as an AMF network element.

[0457] Optionally, the target device information is a SUPI list and / or a base station ID list.

[0458] Optionally, the third device, based on the second request, determines at least one target device from the target device information to obtain the first content of the target device.

[0459] Optionally, if the first device performs model performance monitoring or surveillance based on the first content, the second request may include a model identifier.

[0460] Optionally, when the first device performs model performance monitoring or surveillance based on the first content, the perception operation-related data includes perception estimation information.

[0461] Optionally, the third device acquires or selects a model based on a model identifier.

[0462] Optionally, the third device sends a request to the first device based on the model identifier to obtain the model corresponding to the model identifier.

[0463] Optionally, the third device selects a model from the local device based on the model identifier.

[0464] Optionally, the third device calculates the sensing estimation information based on the sensing measurement data.

[0465] Optionally, the perception estimation information includes perception estimation information of at least one of the following: the area around the SRU and / or UE, the target area, and the area around the target area.

[0466] Optionally, the third device calculates the collected sensing measurement data based on the model identified by the model identifier to obtain sensing estimation information.

[0467] Optionally, the third device collects first content that meets the requirements of data sample parameters and / or data quality thresholds.

[0468] Optionally, a third device collects the first content that meets the data sample quantity requirements.

[0469] Optionally, a third device collects the first content within the sampling time window of the data sample.

[0470] Optionally, the third device collects first content that meets the data sample quantity requirement within the data sample sampling time window, based on the data sample quantity and the data sample sampling time window.

[0471] Optionally, the third device sends the first content of the target device to the first device.

[0472] Optionally, the third device may select the first content that meets the data quality threshold conditions based on data quality indicators.

[0473] Optionally, the third device may send the first content to the first device if the first content meets the data quality threshold condition.

[0474] Optionally, the third device may send the collected first content to the first device by invoking the Nlmf_DataExposure_Notify service operation.

[0475] Optionally, if the collected first content does not meet the data sample quantity requirement, the third device sends a first message to the first device.

[0476] Optionally, the first message is a reason code to inform the first device why it was unable to collect the first content that meets the data sample quantity requirement.

[0477] Optionally, the first device receives the first message sent by the third device.

[0478] Optionally, the first device receives the first content of the target device sent by the third device, and performs the first processing based on the first content.

[0479] Optionally, the third device is determined by the first device based on the information of the third device.

[0480] Optionally, the third device information includes the configuration information of the third device, such as the SENF configuration file.

[0481] Optionally, the first device sends a first request to the second device to obtain information about the third device.

[0482] Optionally, the first request may be triggered based on a configuration triggering mechanism and / or a third request.

[0483] Optionally, the first request is sent from the first device to the second device based on a configuration triggering mechanism.

[0484] Optionally, the first request is sent by the first device to the second device based on the third request.

[0485] Optionally, the second device is a network storage device, such as an NRF network element.

[0486] Optionally, the triggering mechanism can be configured as an internal trigger of the first device.

[0487] Optionally, the third request is a request from a third device for requesting a model or model-related services.

[0488] Optionally, the first device invokes the Nnrf_NFDiscovery_Request service operation to the second device, sending a first request to the second device to obtain information about the third device.

[0489] Optionally, the first request may include device discovery parameters.

[0490] Optionally, the device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0491] Optionally, the target area information is AOI information.

[0492] Optionally, the third device-related service information is the Nsenf_DataExposure service information.

[0493] Optionally, the additional indication is an indication of whether the SRU exists.

[0494] Optionally, when the first device needs to collect data related to the sensing operation of the SRU, the first device adds additional indications to the device discovery parameters, such as an indication of the presence of the SRU.

[0495] Optionally, the second device receives a first request sent by the first device to determine or generate third device information based on the first request.

[0496] Optionally, the second device discovers at least one third device based on device discovery parameters to identify or generate third device information.

[0497] Optionally, the second device discovers the third device based on additional instructions.

[0498] Optionally, the second device discovers at least one third device within the AOI based on the AOI information and the Nsenf_DataExposure service information, in order to identify or generate third device information.

[0499] Optionally, the second device discovers at least one third device associated with the SRU based on additional instructions in order to identify or generate third device information.

[0500] Optionally, the second device discovers or selects at least one third device associated with the SRU within the AOI based on the AOI information, Nsenf_DataExposure service information, and additional instructions, in order to identify or generate third device information.

[0501] Optionally, the second device sends a response message corresponding to the first request to the first device, such as Nnrf_NFDiscovery_Request Response.

[0502] Optionally, the response message corresponding to the first request includes information about the third device.

[0503] In this embodiment, the third device responds to the second request and sends the first content of the target device to the first device, so that the first device performs the first processing based on the first content. Through the interaction between the first device and the third device, the first device supports intelligent perception based on the perception data of the user device or access network device, thereby supporting the combination of perception and intelligence.

[0504] Sixth Embodiment

[0505] Referring to Figure 9, which is a schematic diagram of the interaction flow between the first device, the second device, and the third device according to the sixth embodiment of the processing method, the sixth embodiment of this application proposes a processing method including steps S0 to S2:

[0506] Step S0: The first device performs the first process based on the first content;

[0507] Step S1: In response to the first request, the second device sends third device information to the first device to obtain the first content of the target device through the third device, so that the first device can perform the first processing based on the first content;

[0508] Step S2: In response to the second request, the third device sends the first content of the target device to the first device so that the first device performs the first processing based on the first content.

[0509] Optionally, the first device is a network data analysis device, such as an NWDAF network element.

[0510] Optionally, the second device is a network storage device, such as an NRF network element.

[0511] Optionally, the third device is a sensing device, such as a SENF network element.

[0512] Optionally, the first process includes model training and / or model performance monitoring or surveillance.

[0513] Optionally, the model includes AI models and / or ML models.

[0514] Optionally, the first content includes sensing operation-related data of the terminal device and / or access network device.

[0515] Optionally, the sensing operation-related data includes at least one of sensing measurement data, data quality indicators, and sensing estimation information.

[0516] Optionally, the perception estimation information is calculated based on the perception measurement data.

[0517] Optionally, the data quality metric is a quality assessment value for the perceived measurement data, such as accuracy and / or confidence.

[0518] Optionally, when the first device performs model performance monitoring or surveillance based on the first content, the perception operation-related data includes perception estimation information.

[0519] Optionally, the target device includes terminal equipment and / or access network equipment.

[0520] Optionally, the terminal equipment includes a UE and / or an SRU.

[0521] Optionally, the access network equipment includes RAN and / or NG-RAN.

[0522] Optionally, the first device (such as a network data analysis device) includes model training logic functionality.

[0523] Optionally, the model training logic function is used to train the model based on the first content to obtain the trained model.

[0524] Optionally, the model training logic function is used to monitor or detect model performance based on the first content, so that the first device can decide whether to start a new model training task.

[0525] Optionally, the first device may expose the trained model to network elements (e.g., SENF) in the communication network and provide model-related services, such as exposing the model's storage address to the SENF.

[0526] Optionally, the first device triggers the first request based on a configuration triggering mechanism and / or a third request.

[0527] Optionally, the first device sends a first request to the second device based on a configuration triggering mechanism to obtain information about the third device.

[0528] Optionally, the first device sends a first request to the second device based on the third request in order to obtain information about the third device.

[0529] Optionally, the first device invokes the Nnrf_NFDiscovery_Request service operation to the second device, sending a first request to the second device to obtain information about the third device.

[0530] Optionally, the third device information includes the configuration information of the third device, such as the SENF configuration file.

[0531] Optionally, the triggering mechanism can be configured as an internal trigger of the first device.

[0532] Optionally, the third request is a request from a third device for requesting a model or model-related services.

[0533] Optionally, the first request may include device discovery parameters.

[0534] Optionally, the device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0535] Optionally, the target area information is AOI information.

[0536] Optionally, the third device-related service information is the Nsenf_DataExposure service information.

[0537] Optionally, the additional indication is an indication of whether the SRU exists.

[0538] Optionally, when the first device needs to collect data related to the sensing operation of the SRU, the first device adds additional indications to the device discovery parameters, such as an indication of the presence of the SRU.

[0539] Optionally, the second device receives the first request sent by the first device.

[0540] Optionally, the second device determines or generates third device information based on the first request.

[0541] Optionally, the second device discovers at least one third device based on device discovery parameters to identify or generate third device information.

[0542] Optionally, the second device discovers the third device based on additional instructions.

[0543] Optionally, the second device discovers at least one third device within the AOI based on the AOI information and the Nsenf_DataExposure service information, in order to identify or generate third device information.

[0544] Optionally, the second device discovers at least one third device associated with the SRU based on additional instructions in order to identify or generate third device information.

[0545] Optionally, the second device discovers or selects at least one third device associated with the SRU within the AOI based on the AOI information, Nsenf_DataExposure service information, and additional instructions, in order to identify or generate third device information.

[0546] Optionally, the second device sends a response message corresponding to the first request to the first device, such as Nnrf_NFDiscovery_Request Response.

[0547] Optionally, the response message corresponding to the first request includes information about the third device.

[0548] Optionally, the first device determines at least one third device based on the third device information.

[0549] Optionally, the first device sends a second request to the third device, so that the third device can obtain the first content of the target device based on the second request.

[0550] Optionally, the first device sends a second request to the third device by invoking the Nsenf_DataExposure_Subscribe service operation to subscribe to the first content of the target device.

[0551] Optionally, the first device sends a fourth request to the third device to cause the third device to stop sending the first content of the target device.

[0552] Optionally, if the first device successfully subscribes to the first content from the third device, the first device may at any time send a fourth request to the third device by invoking the Nsenf_DataExposure_UnSubscribe service operation to unsubscribe from the first content of the target device.

[0553] Optionally, the second request may include at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information.

[0554] Optionally, the target area includes at least one region of interest.

[0555] Optionally, the data sample parameters include the number of data samples and / or the sampling time window of the data samples.

[0556] Optionally, the data quality threshold is used by the third device to confirm whether to send the first content to the target device.

[0557] Optionally, if the first device performs model performance monitoring or surveillance based on the first content, the second request may include a model identifier.

[0558] Optionally, a model identifier is used to uniquely identify the model.

[0559] Optionally, the data source information includes terminal device information and / or access network device information.

[0560] Optionally, the data source information is the type information of the data source.

[0561] Optionally, the data source type can be UE and / or NG-RAN.

[0562] Optionally, the second request may also include a target notification address, so that the third device returns the first content of the target device to the target notification address.

[0563] Optionally, the third device receives the second request sent by the first device and returns a subscription response message to the first device to indicate the subscription status of the first content to the first device based on the subscription response message.

[0564] Optionally, the third device executes a data collection procedure based on the second request to collect the first content of the target device.

[0565] Optionally, the third device may determine the collection area and data source of the first content based on the target area information and / or data source information.

[0566] Optionally, the third device determines the data source based on the terminal device information and / or access network device information.

[0567] Optionally, the third device determines the data source type as a terminal device based on the terminal device information, and selects a target device of type terminal device.

[0568] Optionally, the third device determines the data source type as an access network device based on the access network device information, so as to select a target device of type terminal device.

[0569] Optionally, the third device selects at least one target device within the target area based on the target area information to obtain the first content of the target device.

[0570] Optionally, the third device selects at least one target device within the target area that meets the requirements of the data source information, based on the target area information and the data source information, to obtain the first content of the target device.

[0571] Optionally, the third device obtains the first content through the fourth device.

[0572] Optionally, the third device subscribes to target device information from the fourth device to identify at least one target device based on the target device information in order to obtain the first content of the target device.

[0573] Optionally, the fourth device is an access and mobility management device, such as an AMF network element.

[0574] Optionally, the target device information is a SUPI list and / or a base station ID list.

[0575] Optionally, the third device, based on the second request, determines at least one target device from the target device information to obtain the first content of the target device.

[0576] Optionally, the third device acquires or selects a model based on a model identifier.

[0577] Optionally, the third device sends a request to the first device based on the model identifier to obtain the model corresponding to the model identifier.

[0578] Optionally, the third device selects a model from the local device based on the model identifier.

[0579] Optionally, the third device calculates the sensing estimation information based on the sensing measurement data.

[0580] Optionally, the perception estimation information includes perception estimation information of at least one of the following: the area around the SRU and / or UE, the target area, and the area around the target area.

[0581] Optionally, the third device calculates the collected sensing measurement data based on the model identified by the model identifier to obtain sensing estimation information.

[0582] Optionally, the third device collects first content that meets the requirements of data sample parameters and / or data quality thresholds.

[0583] Optionally, a third device collects the first content that meets the data sample quantity requirements.

[0584] Optionally, a third device collects the first content within the sampling time window of the data sample.

[0585] Optionally, the third device collects first content that meets the data sample quantity requirement within the data sample sampling time window, based on the data sample quantity and the data sample sampling time window.

[0586] Optionally, the third device sends the first content of the target device to the first device.

[0587] Optionally, the third device may select the first content that meets the data quality threshold conditions based on data quality indicators.

[0588] Optionally, the third device may send the first content to the first device if the first content meets the data quality threshold condition.

[0589] Optionally, the third device may send the collected first content to the first device by invoking the Nlmf_DataExposure_Notify service operation.

[0590] Optionally, if the collected first content does not meet the data sample quantity requirement, the third device sends a first message to the first device.

[0591] Optionally, the first message is a reason code to inform the first device why it was unable to collect the first content that meets the data sample quantity requirement.

[0592] Optionally, the first device receives the first message sent by the third device.

[0593] Optionally, the first device receives the first content of the target device sent by the third device, and performs the first processing based on the first content.

[0594] In this embodiment, the technical solution involves a first device performing a first process based on first content; a second device responding to a first request sending third device information to the first device to obtain the first content of the target device, enabling the first device to perform the first process based on the first content; and a third device responding to a second request sending the first content of the target device to the first device, enabling the first device to perform the first process based on the first content. Through the interaction between the first, second, and third devices, the first device supports intelligent sensing based on sensing data from user equipment or access network equipment, thereby enabling the integration of sensing and intelligence.

[0595] Seventh Embodiment

[0596] Please refer to Figure 10, which is a schematic diagram of the structure of the processing device provided in the embodiment of this application. This device can be mounted on or is the first device (such as a network data analysis device) in the above method embodiment. The processing device shown in Figure 10 can be used to perform some or all of the functions in the method embodiment described in the above embodiment. As shown in Figure 10, the processing device 160 includes:

[0597] Processing module 1601 is used to perform first processing based on the first content.

[0598] Optionally, the processing apparatus further includes at least one of the following:

[0599] The first device is a network data analysis device;

[0600] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0601] The first process includes model training and / or model performance monitoring or surveillance.

[0602] Optionally, the processing apparatus further includes at least one of the following:

[0603] Send the first request to the second device;

[0604] Send a second request to the third device;

[0605] Receive the first content of the target device sent by the third device.

[0606] Optionally, the processing apparatus further includes at least one of the following:

[0607] At least one third device is identified based on the third device information;

[0608] Network data analysis equipment includes model training logic functions;

[0609] Terminal equipment includes SRU;

[0610] The models include AI models and / or ML models;

[0611] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0612] The third device is a sensing device;

[0613] Target equipment includes terminal equipment and / or access network equipment;

[0614] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0615] The first request includes device discovery parameters;

[0616] The first request is sent to the second device based on a configuration triggering mechanism;

[0617] The first request is sent to the second device based on the third request.

[0618] Optionally, the processing apparatus further includes at least one of the following:

[0619] The third device information includes the configuration information of the third device;

[0620] Data source information includes terminal device information and / or access network device information;

[0621] The target region includes at least one region of interest;

[0622] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0623] The second device discovers at least one third device based on device discovery parameters;

[0624] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0625] The data quality threshold is used by a third device to determine whether to send the first content to the target device;

[0626] The sensing estimation information is calculated by a third device based on the sensing measurement data;

[0627] The first content is obtained by the third device through the fourth device;

[0628] The first content is sent by a third device, provided that the data quality threshold conditions are met.

[0629] Optionally, the processing apparatus further includes at least one of the following:

[0630] The additional indication is whether the SRU exists;

[0631] The second device detects the third device based on additional instructions;

[0632] Receive the first message sent by the third device;

[0633] Send a fourth request to the third device.

[0634] The processing device provided in this application embodiment is similar in implementation principle and beneficial effect to the technical solution shown in the corresponding method embodiment above, and will not be described again here.

[0635] Eighth embodiment

[0636] Please refer to Figure 11, which is a second structural schematic diagram of the processing device provided in the embodiment of this application. This device may be mounted on or is the second device (such as a network storage device) in the above method embodiment. The processing device shown in Figure 11 can be used to perform some or all of the functions in the method embodiment described above.

[0637] As shown in Figure 11, the device 170 includes:

[0638] The first sending module 1701 is configured to respond to a first request by sending third device information to the first device to obtain the first content of the target device through the third device, so that the first device can perform first processing based on the first content.

[0639] Optionally, the processing apparatus further includes at least one of the following:

[0640] The first device is a network data analysis device;

[0641] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0642] The first process includes model training and / or model performance monitoring or surveillance.

[0643] Optionally, the processing apparatus further includes at least one of the following:

[0644] Generate third device information based on the first request;

[0645] The first device determines at least one third device based on the information of the third device;

[0646] The first device sends a second request to the third device;

[0647] The first device receives the first content of the target device sent by the third device.

[0648] Optionally, the processing apparatus further includes at least one of the following:

[0649] Network data analysis equipment includes model training logic functions;

[0650] Terminal equipment includes SRU;

[0651] The models include AI models and / or ML models;

[0652] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0653] The third device is a sensing device;

[0654] Target equipment includes terminal equipment and / or access network equipment;

[0655] The third device information includes the configuration information of the third device;

[0656] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0657] The first request includes device discovery parameters;

[0658] The first request is sent by the first device based on a configuration triggering mechanism;

[0659] The first request is sent by the first device based on the third request.

[0660] Optionally, the processing apparatus further includes at least one of the following:

[0661] Data source information includes terminal device information and / or access network device information;

[0662] The target region includes at least one region of interest;

[0663] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0664] The third device is discovered based on device discovery parameters;

[0665] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0666] The data quality threshold is used by the third device to determine whether to send the target device's first content to the first device;

[0667] The sensing estimation information is calculated by a third device based on the sensing measurement data;

[0668] The first content is obtained by the third device through the fourth device;

[0669] The first content is sent from the third device to the first device if the data quality threshold conditions are met.

[0670] Optionally, the processing apparatus further includes at least one of the following:

[0671] The additional indication is whether the SRU exists;

[0672] The third device was detected based on additional instructions;

[0673] The first device receives the first message sent by the third device;

[0674] The first device sends a fourth request to the third device.

[0675] The processing device provided in this application embodiment is similar in implementation principle and beneficial effect to the technical solution shown in the corresponding method embodiment above, and will not be described again here.

[0676] Ninth Embodiment

[0677] Please refer to Figure 12, which is a schematic diagram of the structure of the processing device provided in the embodiment of this application. This device can be mounted on or is the third device (such as a sensing device) in the above method embodiments. The processing device shown in Figure 12 can be used to perform some or all of the functions in the method embodiments described above. As shown in Figure 12, the device 180 includes:

[0678] The second sending module 1801 is configured to send the first content of the target device to the first device in response to the second request, so that the first device performs the first processing based on the first content.

[0679] Optionally, the processing apparatus further includes at least one of the following:

[0680] The first device is a network data analysis device;

[0681] The first content includes data related to the sensing operations of terminal devices and / or access network devices;

[0682] The first process includes model training and / or model performance monitoring or surveillance.

[0683] Optionally, the processing apparatus further includes at least one of the following:

[0684] The first device sends a first request to the second device;

[0685] The first device determines at least one third device based on the information of the third device;

[0686] The first content of the target device is obtained based on the second request;

[0687] Send the first content of the target device to the first device.

[0688] Optionally, the processing apparatus further includes at least one of the following:

[0689] Network data analysis equipment includes model training logic functions;

[0690] Terminal equipment includes SRU;

[0691] The models include AI models and / or ML models;

[0692] The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information;

[0693] The third device is a sensing device;

[0694] Target equipment includes terminal equipment and / or access network equipment;

[0695] The third device information includes the configuration information of the third device;

[0696] The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information;

[0697] The first request includes device discovery parameters;

[0698] The first request is sent from the first device to the second device based on a configuration triggering mechanism;

[0699] The first request is sent from the first device to the second device based on the third request.

[0700] Optionally, the processing apparatus further includes at least one of the following:

[0701] Data source information includes terminal device information and / or access network device information;

[0702] The target region includes at least one region of interest;

[0703] The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions.

[0704] The second device discovers at least one third device based on device discovery parameters;

[0705] Data sample parameters include the number of data samples and / or the sampling time window for the data samples;

[0706] Data quality thresholds are used to determine whether to send the first content to the target device;

[0707] The perception estimation information is calculated based on the perception measurement data;

[0708] The first content is obtained through a fourth device;

[0709] The first content is sent to the first device if it meets the data quality threshold conditions.

[0710] Optionally, the processing apparatus further includes at least one of the following:

[0711] The additional indication is whether the SRU exists;

[0712] The second device detects the third device based on additional instructions;

[0713] Send the first message to the first device;

[0714] Receive the fourth request sent by the first device.

[0715] The processing device provided in this application embodiment is similar in implementation principle and beneficial effect to the technical solution shown in the corresponding method embodiment above, and will not be described again here.

[0716] Referring to Figure 13, which is a schematic diagram of the structure of a communication device provided in an embodiment of this application, the communication device 190 described in this embodiment may be a first device (or a component that can be used in the first device), a second device (or a component that can be used in the second device), or a third device (or a component that can be used in the third device) mentioned in the foregoing method embodiments. The communication device 190 can be used to implement the methods described in the above method embodiments corresponding to the first device, the second device, or the third device, as detailed in the descriptions in the above method embodiments.

[0717] The communication device 190 may include one or more processors 1901, which may also be referred to as processing units, and can perform certain control or processing functions. The processor 1901 may be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, while the central processing unit can be used to control the communication device, execute software programs, and process data from the software programs.

[0718] Optionally, the processor 1901 may also store instructions 1903 or data (e.g., intermediate data). Optionally, instructions 1903 may be executed by the processor 1901 to cause the communication device 190 to perform the methods described in the above method embodiments corresponding to the first device, the second device, or the third device.

[0719] Optionally, the communication device 190 may include a circuit that can perform the functions of sending, receiving, or communicating in the foregoing method embodiments.

[0720] Optionally, the communication device 190 may include one or more memories 1902, which may store instructions 1904 that can be executed on the processor 1901 to cause the communication device 190 to perform the methods described in the above method embodiments.

[0721] Alternatively, the memory 1902 may also store data. The processor 1901 and the memory 1902 can be configured separately or integrated together.

[0722] Optionally, the communication device 190 may further include a transceiver 1905 and / or an antenna 1906. The processor 1901, which may be referred to as a processing unit, controls the communication device 190 (terminal device, core network device, or wireless access network device). The transceiver 1905, which may be referred to as a transceiver unit, transceiver, transceiver circuit, or transceiver, is used to implement the transceiver functions of the communication device 190.

[0723] Optionally, if the communication device 190 is used to implement the operation corresponding to the first device in the above embodiments, for example, the transceiver 1905 may receive the first content; and / or the processor 1901 may perform the first processing based on the first content.

[0724] Optionally, the specific implementation process of the processor 1901 and transceiver 1905 can be found in the relevant descriptions of the above embodiments, and will not be repeated here.

[0725] Optionally, if the communication device 190 is used to implement the operation corresponding to the second device in the above embodiments, for example, the transceiver 1905 may respond to the first request and send third device information to the first device to obtain the first content of the target device through the third device, so that the first device performs the first processing based on the first content.

[0726] Optionally, the specific implementation process of the processor 1901 and transceiver 1905 can be found in the relevant descriptions of the above embodiments, and will not be repeated here.

[0727] Optionally, if the communication device 190 is used to implement the operation corresponding to the third device in the above embodiments, for example, the transceiver 1905 may respond to the second request and send the first content of the target device to the first device so that the first device performs the first processing based on the first content.

[0728] Optionally, the specific implementation process of the processor 1901 and transceiver 1905 can be found in the relevant descriptions of the above embodiments, and will not be repeated here.

[0729] The processor 1901 and transceiver 1905 described in this application can be implemented on ICs (Integrated Circuits), analog integrated circuits, RFICs (Radio Frequency Integrated Circuits), mixed-signal integrated circuits, ASICs (Application Specific Integrated Circuits), PCBs (Printed Circuit Boards), electronic devices, etc. The processor 1901 and transceiver 1905 can also be manufactured using various integrated circuit process technologies, such as CMOS (Complementary Metal Oxide Semiconductor), NMOS (N-Metal-Oxide-Semiconductor), PMOS (Positive channel Metal Oxide Semiconductor), BJT (Bipolar Junction Transistor), Bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.

[0730] In this application, the communication device can be a terminal device (such as a mobile phone), a first device (such as a network data analysis device), a second device (such as a network storage device), or a third device (such as a sensing device), depending on the context. Furthermore, the terminal device can be implemented in various forms. For example, the terminal devices described in this application can include mobile terminals such as mobile phones, tablets, laptops, handheld computers, personal digital assistants (PDAs), portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, etc., as well as fixed terminal devices such as digital TVs and desktop computers.

[0731] Although the communication device is described using a first device, a second device, or a third device as examples in the above embodiments, the scope of the communication device described in this application is not limited to the first device, the second device, or the third device described above, and the structure of the communication device is not limited to FIG13. The communication device can be a standalone device or can be part of a larger device.

[0732] This application also provides a communication system, including: a terminal device as described in any of the above embodiments; and / or, a first device as described in any of the above embodiments; and / or, a second device as described in any of the above embodiments; and / or, a third device as described in any of the above embodiments.

[0733] This application also provides a communication device, including a memory and a processor. The memory stores a processing program, and when the processing program is executed by the processor, it implements the steps of the processing method in any of the above embodiments.

[0734] The communication device in this application may be a terminal device (such as a mobile phone), a first device (such as a network data analysis device), a second device (such as a network storage device), a third device (such as a sensing device), or a chip (such as a SOC or a baseband chip with communication functions). The specific meaning needs to be clarified according to the context.

[0735] This application also provides a computer-readable storage medium storing a processing program, which, when executed by a processor, implements the steps of the processing method in any of the above embodiments.

[0736] In the embodiments of the communication device and storage medium provided in this application, all the technical features of any of the above-described processing method embodiments may be included. The extended and explained contents of the specification are basically the same as the embodiments of the above methods, and will not be repeated here.

[0737] This application also provides a computer program product, which includes computer program code. When the computer program code is run on a computer, it causes the computer to perform the methods described in the various possible implementations above.

[0738] This application also provides a chip, including a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device with the chip installed performs the methods described in the various possible implementations above.

[0739] It is understood that the above scenarios are merely examples and do not constitute a limitation on the application scenarios of the technical solutions provided in the embodiments of this application. The technical solutions of this application can also be applied to other scenarios. For example, as those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0740] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0741] The steps in the method of this application embodiment can be adjusted, combined, or deleted according to actual needs.

[0742] The units in the device of this application embodiment can be merged, divided, and deleted according to actual needs.

[0743] In this application, the same or similar terms, concepts, technical solutions and / or application scenario descriptions are generally described in detail only when they appear for the first time. When they appear again, they are generally not repeated for the sake of brevity. When understanding the technical solutions and other contents of this application, the same or similar terms, concepts, technical solutions and / or application scenario descriptions that are not described in detail later can be referred to their previous relevant detailed descriptions.

[0744] In this application, the descriptions of the various embodiments have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0745] The technical features of the present application can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of the present application.

[0746] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, controlled terminal device, or network device, etc.) to execute the methods of each embodiment of this application.

[0747] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted from one storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, storage disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).

[0748] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

A processing method, wherein, Applied to the first device, including the following steps: S0: Perform the first processing based on the first content. The method of claim 1, wherein, It also includes at least one of the following: The first device is a network data analysis device; The first content includes data related to the sensing operations of terminal devices and / or access network devices; The first process includes model training and / or model performance monitoring or surveillance. The method of claim 2, wherein, It also includes at least one of the following: Send the first request to the second device; Send a second request to the third device; Receive the first content of the target device sent by the third device. The method of claim 3, wherein, It also includes at least one of the following: At least one third device is identified based on the third device information; Network data analysis equipment includes model training logic functions; Terminal equipment includes SRU; The models include AI models and / or ML models; The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information; The third device is a sensing device; Target equipment includes terminal equipment and / or access network equipment; The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information; The first request includes device discovery parameters; The first request is sent to the second device based on a configuration triggering mechanism; The first request is sent to the second device based on the third request. The method of claim 4, wherein, It also includes at least one of the following: The third device information includes the configuration information of the third device; Data source information includes terminal device information and / or access network device information; The target region includes at least one region of interest; The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions. The second device discovers at least one third device based on device discovery parameters; Data sample parameters include the number of data samples and / or the sampling time window for the data samples; The data quality threshold is used by a third device to determine whether to send the first content to the target device; The sensing estimation information is calculated by a third device based on the sensing measurement data; The first content is obtained by the third device through the fourth device; The first content is sent by a third device, provided that the data quality threshold conditions are met. The method of claim 5, wherein, It also includes at least one of the following: The additional indication is whether the SRU exists; The second device detects the third device based on additional instructions; Receive the first message sent by the third device; Send a fourth request to the third device. A processing method, wherein, Applied to a second device, including the following steps: S1: In response to the first request, send third device information to the first device to obtain the first content of the target device through the third device, so that the first device can perform the first processing based on the first content. The method of claim 7, wherein, It also includes at least one of the following: The first device is a network data analysis device; The first content includes data related to the sensing operations of terminal devices and / or access network devices; The first process includes model training and / or model performance monitoring or surveillance. The method of claim 8, wherein, It also includes at least one of the following: Generate third device information based on the first request; The first device determines at least one third device based on the information of the third device; The first device sends a second request to the third device; The first device receives the first content of the target device sent by the third device. The method of claim 9, wherein, It also includes at least one of the following: Network data analysis equipment includes model training logic functions; Terminal equipment includes SRU; The models include AI models and / or ML models; The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information; The third device is a sensing device; Target equipment includes terminal equipment and / or access network equipment; The third device information includes the configuration information of the third device; The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information; The first request includes device discovery parameters; The first request is sent by the first device based on a configuration triggering mechanism; The first request is sent by the first device based on the third request. The method of claim 10, wherein, It also includes at least one of the following: Data source information includes terminal device information and / or access network device information; The target region includes at least one region of interest; The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions. The third device is discovered based on device discovery parameters; Data sample parameters include the number of data samples and / or the sampling time window for the data samples; The data quality threshold is used by the third device to determine whether to send the target device's first content to the first device; The sensing estimation information is calculated by a third device based on the sensing measurement data; The first content is obtained by the third device through the fourth device; The first content is sent from the third device to the first device if the data quality threshold conditions are met. The method of claim 11, wherein, It also includes at least one of the following: The additional indication is whether the SRU exists; The third device was detected based on additional instructions; The first device receives the first message sent by the third device; The first device sends a fourth request to the third device. A processing method, wherein, Applied to a third device, including the following steps: S2: In response to the second request, send the first content of the target device to the first device so that the first device performs the first processing based on the first content. The method of claim 13, wherein, It also includes at least one of the following: The first device is a network data analysis device; The first content includes data related to the sensing operations of terminal devices and / or access network devices; The first process includes model training and / or model performance monitoring or surveillance. The method of claim 14, wherein, It also includes at least one of the following: The first device sends a first request to the second device; The first device determines at least one third device based on the information of the third device; The first content of the target device is obtained based on the second request; Send the first content of the target device to the first device. The method of claim 15, wherein, It also includes at least one of the following: Network data analysis equipment includes model training logic functions; Terminal equipment includes SRU; The models include AI models and / or ML models; The data related to the sensing operation includes at least one of the following: sensing measurement data, data quality indicators, and sensing estimation information; The third device is a sensing device; Target equipment includes terminal equipment and / or access network equipment; The third device information includes the configuration information of the third device; The second request includes at least one of the following: target area information, data sample parameters, data quality threshold, model identifier, and data source information; The first request includes device discovery parameters; The first request is sent from the first device to the second device based on a configuration triggering mechanism; The first request is sent from the first device to the second device based on the third request. The method of claim 16, wherein, It also includes at least one of the following: Data source information includes terminal device information and / or access network device information; The target region includes at least one region of interest; The device discovery parameters include at least one of the following: target area information, third-party device related service information, and additional instructions. The second device discovers at least one third device based on device discovery parameters; Data sample parameters include the number of data samples and / or the sampling time window for the data samples; Data quality thresholds are used to determine whether to send the first content to the target device; The perception estimation information is calculated based on the perception measurement data; The first content is obtained through a fourth device; The first content is sent to the first device if it meets the data quality threshold conditions. The method of claim 17, wherein, It also includes at least one of the following: The additional indication is whether the SRU exists; The second device detects the third device based on additional instructions; Send the first message to the first device; Receive the fourth request sent by the first device. A communication device, wherein include: The memory and the processor, wherein the memory stores a processing program, and the processing program, when executed by the processor, implements the processing method as described in claims 1, 7, and 13. A computer-readable storage medium, wherein, The computer-readable storage medium stores a processing program, which, when executed by a processor, implements the processing method as described in claims 1, 7, and 13.

Images