Processing method, communication device, and storage medium

By having terminal devices report measurement prediction results based on measurement configurations, the problem of existing technologies being unable to meet the requirements for measurement prediction and handover preparation is solved, thereby reducing service interruption latency.

WO2026152687A1PCT designated stage Publication Date: 2026-07-23SHENZHEN TRANSSION HLDG CO LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
SHENZHEN TRANSSION HLDG CO LTD
Filing Date
2025-08-12
Publication Date
2026-07-23

AI Technical Summary

Technical Problem

Existing measurement configurations and/or measurement reporting mechanisms are unable to meet the requirements for reporting measurement predictions and/or measurement inference results, and cannot provide network model training and/or handover preparation in advance, making it difficult to reduce service interruption latency caused by handover.

Method used

The terminal device reports measurement prediction results based on the first measurement configuration and/or the second measurement configuration, clarifies the measurement reporting processing mechanism, and supports reducing service interruption latency caused by handover.

Benefits of technology

By establishing a clear measurement and reporting mechanism, terminal devices can more accurately predict and report network conditions, reduce handover latency, and improve the stability and efficiency of network handover.

✦ Generated by Eureka AI based on patent content.

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Abstract

Disclosed in the present application are a processing method, a communication device, and a storage medium. The processing method comprises: a terminal device reporting a measurement prediction result on the basis of a first measurement configuration and / or a second measurement configuration. The technical solution of the present application defines a measurement reporting processing mechanism to meet reporting requirements, thereby reducing a service interruption delay caused by a handover.
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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 existing protocols, measurement configuration can be configured to allow terminal devices to execute periodic measurement reports or event-triggered measurement reports. For example, if at least one serving cell and / or neighboring cell meets a measurement event, the terminal device will report a measurement report or report the measurement results of the serving cell and / or neighboring cell according to the configured period.

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

[0004] Existing measurement configurations and / or measurement reporting mechanisms are insufficient for reporting measurement prediction and / or measurement inference results, and / or for providing advance preparation for network model training and / or handover, making it difficult to reduce service interruption latency caused by handover. Therefore, it is necessary to clarify the measurement reporting processing mechanism to meet reporting requirements and thereby support the reduction of service interruption latency caused by handover.

[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 the measurement reporting processing mechanism to meet reporting requirements and thereby support the reduction of service interruption latency caused by handover.

[0007] This application provides a processing method applicable to terminal devices (such as mobile phones), comprising the following steps:

[0008] S2: Report measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

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

[0010] The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration;

[0011] The second measurement configuration includes periodic measurements and / or event-triggered measurements;

[0012] The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

[0013] Optionally, step S2 includes:

[0014] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, then the measurement prediction result shall be reported.

[0015] Optionally, the processing method further includes at least one of the following:

[0016] Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting;

[0017] The measurement prediction configuration is used to report measurement prediction and / or inference results;

[0018] The event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0019] Optionally, the measurement prediction results include at least one of the following:

[0020] Measurement results that meet the measurement prediction configuration;

[0021] Measurement results that meet the event prediction configuration;

[0022] Measurement results that satisfy the predictive measurement configuration.

[0023] Optionally, the processing method further includes at least one of the following:

[0024] Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators;

[0025] Send available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations;

[0026] Execute measurement and / or trigger measurement reports based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration;

[0027] Execute measurement and / or trigger measurement reports based on at least one of the available measurement prediction configurations, available event prediction configurations, and available predictive measurement configurations;

[0028] In response to the fulfillment of the first condition, set the measurement report content;

[0029] Send the measurement report.

[0030] Optionally, the processing method further includes at least one of the following:

[0031] At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format;

[0032] If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, then perform at least one of the following: store the measurement prediction result, add the associated measurement identifier to the measurement report list, or trigger the measurement report;

[0033] If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, then at least one of the following is executed: store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report;

[0034] If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, then perform at least one of the following: store the measurement prediction result, store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report.

[0035] Optionally, satisfying the first condition includes at least one of the following:

[0036] At least one measurement identifier triggers a measurement report;

[0037] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0038] There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0039] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

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

[0041] The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0042] The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason;

[0043] The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration;

[0044] The report configuration identifier is the report configuration identifier associated with the event prediction configuration;

[0045] The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

[0046] Optionally, the processing method further includes at least one of the following:

[0047] The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available;

[0048] If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration.

[0049] Measurements are not performed for measurement prediction configurations, event prediction configurations, or prediction measurement configurations where the availability status is set to unavailable.

[0050] This application also provides a processing method applicable to network devices (such as base stations), comprising the following steps:

[0051] S1: Send the first measurement configuration and / or the second measurement configuration so that the terminal device can report the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0052] Optionally, the processing method further includes at least one of the following:

[0053] The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration;

[0054] The second measurement configuration includes periodic measurements and / or event-triggered measurements;

[0055] The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

[0056] Optionally, the terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including:

[0057] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0058] Optionally, the processing method further includes at least one of the following:

[0059] Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting;

[0060] The measurement prediction configuration is used to report measurement prediction and / or inference results;

[0061] The event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0062] Optionally, the measurement prediction results include at least one of the following:

[0063] Measurement results that meet the measurement prediction configuration;

[0064] Measurement results that meet the event prediction configuration;

[0065] Measurement results that satisfy the predictive measurement configuration.

[0066] Optionally, the processing method further includes at least one of the following:

[0067] Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators;

[0068] Receive available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations;

[0069] The terminal device performs measurement and / or triggers a measurement report based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0070] The terminal device performs measurement and / or triggers a measurement report based on at least one of the available measurement prediction configuration, the available event prediction configuration, and the available predictive measurement configuration.

[0071] The terminal device, in response to the fulfillment of the first condition, sets the measurement report content;

[0072] Receive measurement reports sent by the terminal device.

[0073] Optionally, the processing method further includes at least one of the following:

[0074] At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format;

[0075] If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: stores the measurement prediction result, adds the associated measurement identifier to the measurement report list, and triggers the measurement report;

[0076] If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report;

[0077] If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, the terminal device performs at least one of the following: storing the measurement prediction result, storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering a measurement report.

[0078] Optionally, the terminal device satisfies at least one of the following conditions:

[0079] At least one measurement identifier triggers a measurement report;

[0080] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0081] There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0082] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0083] Optionally, the processing method further includes at least one of the following:

[0084] The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0085] The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason;

[0086] The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration;

[0087] The report configuration identifier is the report configuration identifier associated with the event prediction configuration;

[0088] The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

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

[0090] The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available;

[0091] If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration.

[0092] Terminal devices do not perform measurements for measurement prediction configurations, event prediction configurations, or prediction measurement configurations that are set to unavailable for available states.

[0093] This application also provides a processing apparatus, the apparatus comprising:

[0094] The reporting module is used to report measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0095] This application also provides a processing apparatus, the apparatus comprising:

[0096] The sending module is used to send a first measurement configuration and / or a second measurement configuration so that the terminal device can report the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0097] 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.

[0098] The communication equipment mentioned in this application may be a terminal device (such as a mobile phone), a network device (such as a base station), or a chip (such as a SOC or a baseband chip with communication functions). The specific meaning needs to be clarified in the context.

[0099] 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.

[0100] The technical solution of this application stipulates that the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration, and clarifies the measurement reporting processing mechanism to meet the reporting requirements, thereby supporting the reduction of service interruption latency caused by handover. Attached Figure Description

[0101] 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.

[0102] Figure 1 is a schematic diagram of the hardware structure of a mobile terminal implementing various embodiments of this application;

[0103] Figure 2 is a communication network system architecture diagram provided in an embodiment of this application;

[0104] Figure 3 is a schematic diagram of the hardware structure of a controller 140 provided in this application;

[0105] Figure 4 is a schematic diagram of the hardware structure of a network node 150 provided in this application;

[0106] Figure 5 is a flowchart illustrating the processing method of the first embodiment of this application;

[0107] Figure 6 is a flowchart illustrating the processing method of the sixth embodiment of this application;

[0108] Figure 7 is a flowchart illustrating the processing method of the seventh embodiment of this application;

[0109] Figure 8 is a schematic diagram of the interaction process between the network device and the terminal device in the processing method shown in the eighth embodiment of this application;

[0110] Figure 9 is a schematic diagram of the processing device provided in an embodiment of this application;

[0111] Figure 10 is a second schematic diagram of the processing device provided in an embodiment of this application;

[0112] Figure 11 is a schematic diagram of the structure of the communication device provided in the embodiment of this application.

[0113] 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.

[0114] Implementation methods of this application

[0115] 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.

[0116] 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.

[0117] 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, may 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, may 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.

[0118] 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.

[0119] 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).”

[0120] 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.

[0121] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0122] 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.

[0123] The communication equipment mentioned in this application may be a terminal device (such as a mobile phone), a network device (such as a base station), 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] The following section, with reference to Figure 1, provides a detailed description of each component of the mobile terminal:

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] Optionally, UE201 can be the aforementioned terminal device 100, which will not be described in detail here.

[0144] 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.

[0145] 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).

[0146] IP services 204 may include the Internet, intranet, IMS (IP Multimedia Subsystem), or other IP services.

[0147] 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.

[0148] Figure 3 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.

[0149] 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.

[0150] Figure 4 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 method embodiment. The implementation principle and beneficial effects are similar, and will not be described again here.

[0151] 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.

[0152] 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.

[0153] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in 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.

[0154] Based on the above-described mobile terminal hardware structure and communication network system, various embodiments of this application are proposed.

[0155] Technical terms used in this embodiment:

[0156] AI / ML: Artificial Intelligence / Machine Learning;

[0157] CHO: Conditional Handover;

[0158] CSI: Channel State Information;

[0159] CSI-RS: Channel State Information Reference Signal;

[0160] LTM: L1L2 Triggered Mobility;

[0161] MR: Measurement Report;

[0162] RLF: Radio Link Failure;

[0163] RRC: Radio Resource Control;

[0164] RRM: Radio Resource Management;

[0165] RSRP: Reference Signal Received Power.

[0166] First Embodiment

[0167] Referring to Figure 5, 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 terminal device (such as a mobile phone) and includes the following steps:

[0168] S2: The terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0169] This embodiment takes into account that existing measurement configurations and / or measurement reporting mechanisms cannot meet the requirements for reporting measurement prediction and / or measurement inference results, and / or cannot provide advance preparation for network model training and / or handover, making it difficult to reduce service interruption latency caused by handover.

[0170] Therefore, the embodiments of this application propose a technical solution in which the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration. The measurement reporting processing mechanism can be clearly defined to meet the reporting requirements, thereby supporting the reduction of service interruption latency caused by handover.

[0171] Optionally, the first measurement configuration and / or the second measurement configuration are provided by the network device.

[0172] Optionally, network equipment may include at least one of a network, a base station, a serving base station, and a serving cell.

[0173] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0174] Optionally, the network device sends a Radio Resource Control Reconfiguration (RRC) signaling message, which carries the measurement configuration. For details, please refer to protocol TS 38.331 release 18, 6.2.2.

[0175] Optionally, the measurement configuration includes at least one of the following: a list of added and modified measurement targets, a list of added and modified report configurations, a list of added and modified measurement identifiers, a list of removed measurement targets, a list of removed report configurations, and a list of removed measurement identifiers.

[0176] Optionally, the new modification list can be used to add or modify measurement targets, report configurations, and measurement tasks.

[0177] Optionally, the removal list is used to remove or delete measurement targets, report configurations, and measurement tasks. For details, please refer to protocol TS 38.331 release 18, 6.3.2.

[0178] Optionally, the measurement target addition and modification list includes at least one measurement target identifier and the associated measurement target.

[0179] Optionally, the report configuration modification list includes at least one report configuration identifier and the associated report configuration.

[0180] Optionally, the measurement identifier addition and modification list includes at least one measurement identifier as well as associated measurement target identifier and report configuration identifier.

[0181] Optionally, a measurement target identifier and a report configuration identifier associated with a measurement identifier can be used as a measurement task and / or a measurement reporting task, as detailed in TS 38.331 release 18, 5.5.3, 5.5.4.

[0182] Optionally, the report configuration includes report types.

[0183] Optionally, the report type includes at least one of periodic measurement, event-triggered measurement, and condition-triggered configuration.

[0184] Optionally, the report type may also include at least one of measurement prediction configuration and event prediction configuration.

[0185] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0186] Optionally, the terminal device obtains the measurement configuration from the radio resource control reconfiguration signaling.

[0187] Optionally, the measurement configuration obtained by the terminal device from the radio resource control reconfiguration signaling includes a first measurement configuration and / or a second measurement configuration.

[0188] Optionally, the first measurement configuration includes a measurement prediction configuration (measPredictionConfig) and / or an event prediction configuration (eventPredictionConfig).

[0189] Optionally, the first measurement configuration can be a measurement configuration that includes measurement prediction configuration and / or event prediction configuration as the measurement type.

[0190] Optionally, the second measurement configuration includes periodic measurements and / or event-triggered measurements.

[0191] Optionally, the measurement prediction configuration is used to report measurement prediction and / or inference results.

[0192] Optionally, the measurement prediction configuration can be a measurement inference configuration (measInferenceConfig), an artificial intelligence machine learning measurement prediction configuration (AI_MLmeasPredictionConfig), an artificial intelligence machine learning measurement inference configuration (AI_MLmeasInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0193] Optionally, the event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0194] Optionally, the event prediction configuration can be an event inference configuration (eventInferenceConfig), an artificial intelligence machine learning event prediction configuration (AI_MLeventPredictionConfig), an artificial intelligence machine learning event inference configuration (AI_MLeventInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the configuration.

[0195] Optionally, after obtaining the measurement configuration from the radio resource control reconfiguration signaling, the terminal device stores the measurement configuration.

[0196] Optionally, the terminal device stores measurement configurations including at least one of the following: storing measurement target addition / modification list configurations via a measurement target list, storing report configuration addition / modification list configurations via a report configuration list, storing measurement identifier addition / modification list configurations via a measurement identifier list, removing measurement targets from the measurement target list, removing report configurations from the report configuration list, and removing measurement identifiers from the report configuration list. For details, please refer to protocol TS 38.331 release 18, 5.5.2.

[0197] Optionally, the measurement configurations stored in the terminal device include measurement configurations of measurement prediction type and / or event prediction type.

[0198] Optionally, the terminal device stores a first measurement configuration, such as a measurement prediction configuration and / or an event prediction configuration.

[0199] Optionally, the terminal device storing the first measurement configuration includes at least one of the following: storing a measurement target addition / modification list configuration through a predicted measurement target list, storing a report configuration addition / modification list configuration through a predicted report configuration list, storing a measurement identifier addition / modification list configuration through a predicted measurement identifier list, removing a measurement target from the predicted measurement target list, removing a report configuration from the predicted report configuration list, and removing a measurement identifier from the predicted measurement identifier list.

[0200] Optionally, the terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including:

[0201] If at least one cell satisfies at least one of measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0202] Optionally, the measurement prediction results include at least one of the measurement results that satisfy the measurement prediction configuration and the measurement results that satisfy the event prediction configuration.

[0203] Optionally, if the terminal device is equipped with an artificial intelligence machine learning model, the terminal device can report the measurement prediction results through the artificial intelligence machine learning model.

[0204] Optionally, the network device sends a Radio Resource Control (RRC) reconfiguration signaling message, and carries an AI machine learning event prediction configuration and / or an AI machine learning event inference configuration message in the RRC reconfiguration signaling message.

[0205] Optionally, the terminal device obtains the AI ​​machine learning event prediction configuration and the AI ​​machine learning event inference configuration from the radio resource control reconfiguration signaling.

[0206] Optionally, the terminal device reports measurement prediction results or inference results based on artificial intelligence machine learning event prediction configuration and artificial intelligence machine learning event inference configuration.

[0207] The specific process involved in this embodiment can be seen in Figure 6.

[0208] Through the technical solution of this embodiment, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration, and clarifies the measurement reporting processing mechanism to meet the reporting requirements, thereby supporting the reduction of service interruption latency caused by handover.

[0209] Second Embodiment

[0210] Based on the first embodiment of this application, a second embodiment of this application is proposed, which further proposes a processing method for reporting measurement prediction results based on measurement configuration.

[0211] Optionally, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0212] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0213] Optionally, the first measurement configuration includes at least one of a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration.

[0214] Optionally, the report configuration includes report types.

[0215] Optionally, the report type includes at least one of periodic measurement, event-triggered measurement, and condition-triggered configuration.

[0216] Optionally, the report type may also include at least one of predictive measurement configuration, measurement prediction configuration, and event prediction configuration.

[0217] Optionally, the predictive measurement configuration includes a predictive measurement configuration with periodic reporting or a predictive measurement configuration with event-triggered reporting.

[0218] Optionally, the predictive measurement configuration indicates periodic report predictions or event-triggered report predictions via prediction indicators.

[0219] Optionally, the report configuration also includes forecast indicators.

[0220] Optionally, the prediction indicator is used to indicate whether the report type is used for prediction. For example, if a report configuration includes a prediction indicator and the report type is periodic, then it is a prediction measurement configuration for periodic reports; or, if a report configuration includes a prediction indicator and the report type is event-triggered, then it is a prediction measurement configuration for event-triggered reports.

[0221] Optionally, a measurement configuration may include a prediction indication, which could be a prediction measurement configuration or a measurement configuration used for prediction, etc., and the embodiments of this application are not limited thereto. Optionally, the embodiments of this application are referred to as prediction measurement configurations in the following description.

[0222] Optionally, the prediction measurement configuration can be an inference measurement configuration (InferenceMeasConfig), an artificial intelligence machine learning prediction measurement configuration (AI_MLPredictionMeasConfig), an artificial intelligence machine learning inference measurement configuration (AI_MLInferenceMeasConfig), an inference event configuration (InferenceEventConfig), an artificial intelligence machine learning prediction event configuration (AI_MLPredictionEventConfig), an artificial intelligence machine learning inference event configuration (AI_MLInferenceEventConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0223] Optionally, the prediction indication can be represented by a single bit, for example, if the bit indication is "1", it indicates that the measurement configuration is used for prediction; and / or, if the bit indication is "0", it indicates that the measurement configuration is not used for prediction.

[0224] Optionally, if a prediction indication exists, it indicates that the measurement configuration is used for prediction; and / or, if a prediction indication does not exist, it indicates that the measurement configuration is not used for prediction.

[0225] Optionally, the terminal device also stores predictive measurement configurations.

[0226] Optionally, if at least one cell satisfies at least one of predictive measurement configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0227] Optionally, the measurement prediction results may also include measurement results that satisfy the measurement prediction configuration.

[0228] The specific process involved in this embodiment can be seen in Figure 6.

[0229] Through the technical solution of this embodiment, the terminal device reports the measurement prediction result based on the first measurement configuration and / or the second measurement configuration. Specifically, the measurement prediction result can be reported through the prediction measurement configuration, thus clarifying the measurement reporting processing mechanism to meet the reporting requirements and thereby support the reduction of service interruption latency caused by handover.

[0230] Third Embodiment

[0231] Based on any of the above embodiments of this application, a third embodiment of this application is proposed, which further proposes a processing method for reporting measurement prediction results based on measurement configuration.

[0232] Optionally, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0233] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0234] Optionally, the network device sends a Radio Resource Control (RRC) reconfiguration signaling message, carrying a measurement configuration within the RRC reconfiguration signaling message.

[0235] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0236] Optionally, the terminal device obtains the first measurement configuration and / or the second measurement configuration from the radio resource control reconfiguration signaling.

[0237] Optionally, the terminal device performs radio resource control reconfiguration based on the acquired first measurement configuration and / or second measurement configuration.

[0238] Optionally, after the radio resource control reconfiguration is completed, the terminal device, in response to the radio resource control reconfiguration signaling, sends a radio resource control reconfiguration completion signaling.

[0239] Optionally, the terminal device carries the available measurement configuration in the radio resource control reconfiguration completion signaling.

[0240] Optionally, the first measurement configuration includes at least one of a measurement prediction configuration and an event prediction configuration.

[0241] Optionally, available measurement configurations include available measurement prediction configurations and / or available event prediction configurations.

[0242] Optionally, the terminal device sends available measurement prediction configurations and / or available event prediction configurations.

[0243] Optionally, the network device receives available measurement prediction configurations and / or available event prediction configurations sent by the terminal device, thereby understanding which measurement configurations the terminal device reports measurements for.

[0244] Optionally, at least one of the available measurement prediction configurations and available event prediction configurations may be carried in a list manner.

[0245] Optionally, the list may include at least one of the following: an associated report configuration identifier, availability status, release instruction, and reason.

[0246] Optionally, in the list of available measurement prediction configurations, the report configuration identifier is the report configuration identifier associated with the measurement prediction configuration.

[0247] Optionally, in the list of available event prediction configurations, the report configuration identifier is the report configuration identifier associated with the event prediction configuration.

[0248] Optionally, the availability status is used to indicate whether at least one of the configured measurement prediction configuration and event prediction configuration is available. For example: if a configuration's measurement prediction configuration is Applicable, the availability status is set to Available; and / or, if a configuration's measurement prediction configuration is Inapplicable, the availability status is set to Inapplicable. Alternatively, if a configuration's event prediction configuration is Available, the availability status is set to Available; and / or, if a configuration's event prediction configuration is Inapplicable, the availability status is set to Inapplicable.

[0249] Optionally, if the availability status of at least one of the measurement prediction configurations or event prediction configurations is set to unavailable and a reason is set, the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configurations or event prediction configurations.

[0250] Optionally, if the availability status of at least one of the measurement prediction configurations or event prediction configurations is set to unavailable and a release indication is set, the release indication is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configurations or event prediction configurations.

[0251] Optionally, the terminal device may not perform measurements for measurement prediction configurations or event prediction configurations where the availability status is set to unavailable.

[0252] The specific process involved in this embodiment can be seen in Figure 6.

[0253] Through the technical solution of this embodiment, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration. In response to the radio resource control reconfiguration signaling, the terminal device sends a radio resource control reconfiguration completion signaling, which carries the available measurement prediction configuration and / or available event prediction configuration. It clarifies the configurations that need to be measured and / or the unsupported measurement configurations and instructs the network to delete them, which can reduce the measurement complexity and / or prediction complexity, thereby supporting the reduction of service interruption latency caused by handover.

[0254] Fourth embodiment

[0255] Based on any of the above embodiments of this application, a fourth embodiment of this application is proposed, which further proposes a processing method for reporting measurement prediction results based on measurement configuration.

[0256] Optionally, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0257] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0258] Optionally, the network device sends a Radio Resource Control (RRC) reconfiguration signaling message, carrying a measurement configuration within the RRC reconfiguration signaling message.

[0259] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0260] Optionally, the terminal device obtains the first measurement configuration and / or the second measurement configuration from the radio resource control reconfiguration signaling.

[0261] Optionally, the terminal device performs radio resource control reconfiguration based on the acquired first measurement configuration and / or second measurement configuration.

[0262] Optionally, after the radio resource control reconfiguration is completed, the terminal device, in response to the radio resource control reconfiguration signaling, sends a radio resource control reconfiguration completion signaling.

[0263] Optionally, the terminal device carries the available measurement configuration in the radio resource control reconfiguration completion signaling.

[0264] Optionally, the first measurement configuration includes a predictive measurement configuration.

[0265] Optionally, the predictive measurement configuration includes a predictive measurement configuration with periodic reporting or a predictive measurement configuration with event-triggered reporting.

[0266] Optionally, available measurement configurations include available predictive measurement configurations.

[0267] Optionally, the terminal device sends the available predictive measurement configuration.

[0268] Optionally, the network device receives the available predictive measurement configuration sent by the terminal device.

[0269] Optionally, the available predictive measurement configurations can be carried in a list format.

[0270] Optionally, the list may include at least one of the following: an associated report configuration identifier, availability status, release instruction, and reason.

[0271] Optionally, in the list of available predictive measurement configurations, the report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

[0272] Optionally, the availability status is used to indicate whether the configured predictive measurement configuration is available.

[0273] Optionally, if a configuration's predictive measurement is configured to be available, the available state is set to available; and / or, if a configuration's predictive measurement is configured to be unavailable, the available state is set to unavailable.

[0274] Optionally, if the availability status of at least one of the predictive measurement configurations is set to unavailable and a reason is set, the reason is used to instruct the network to remove or delete at least one of the predictive measurement configurations of the corresponding configuration.

[0275] Optionally, if the availability status of at least one configuration of predictive measurement configuration is set to unavailable and a release indication is set, the release indication is used to instruct the network to remove or delete the corresponding configuration of predictive measurement configuration.

[0276] Optionally, the terminal device may not perform measurements for predictive measurement configurations where the available state is set to unavailable.

[0277] The specific process involved in this embodiment can be seen in Figure 6.

[0278] Through the technical solution of this embodiment, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration. In response to the radio resource control reconfiguration signaling, the terminal device sends a radio resource control reconfiguration completion signaling, which carries the available predicted measurement configurations. It clarifies the configurations that need to be measured and / or the unsupported measurement configurations and instructs the network to delete them, which can reduce the measurement complexity and / or prediction complexity, thereby supporting the reduction of service interruption latency caused by handover.

[0279] Fifth embodiment

[0280] Based on any of the above embodiments of this application, a fifth embodiment of this application is proposed, which further proposes a processing method for reporting measurement prediction results based on measurement configuration.

[0281] Optionally, the terminal device performs measurements and / or triggers measurement reports based on the measurement configuration, as detailed in TS 38.331 release 18, 5.5.3, and 5.5.4.

[0282] Optionally, the terminal device performs measurements and / or triggers measurement reports based on stored measurement configurations.

[0283] Optionally, the measurement configuration stored in the terminal device includes at least one of measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0284] Optionally, at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration is carried by radio resource control reconfiguration signaling.

[0285] Optionally, the network device sends a radio resource control reconfiguration signaling message, which carries at least one of a measurement prediction configuration, an event prediction configuration, and a prediction measurement configuration.

[0286] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0287] Optionally, the terminal device obtains at least one of measurement prediction configuration, event prediction configuration, and prediction measurement configuration from the radio resource control reconfiguration signaling.

[0288] Optionally, the terminal device stores at least one of measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0289] Optionally, the terminal device performs measurements and / or triggers measurement reports.

[0290] Optionally, the terminal device performs measurement and / or measurement report triggering based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0291] Optionally, the terminal device performs measurement and / or measurement report triggering based on at least one of the available measurement prediction configuration, available event prediction configuration, and available predictive measurement configuration.

[0292] Optionally, at least one of the available measurement prediction configuration, available event prediction configuration, and available prediction measurement configuration is indicated by an availability status.

[0293] Optionally, the availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available. For example: if a configured measurement prediction configuration is Applicable, the availability status is set to Available; and / or, if a configured measurement prediction configuration is Inapplicable, the availability status is set to Inapplicable. Alternatively, if a configured event prediction configuration is Available, the availability status is set to Available; and / or, if a configured event prediction configuration is Inapplicable, the availability status is set to Inapplicable. Alternatively, if a configured prediction measurement configuration is Available, the availability status is set to Available; and / or, if a configured prediction measurement configuration is Inapplicable, the availability status is set to Inapplicable.

[0294] Optionally, the terminal device performs measurement and / or triggers a measurement report as a measurement task based on a measurement target identifier and a report configuration identifier associated with a measurement identifier.

[0295] Optionally, if at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, then at least one of the following is performed: storing the measurement prediction result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report.

[0296] Optionally, if at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, then at least one of the following is performed: storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report.

[0297] Optionally, if at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, then at least one of the following is performed: storing the measurement prediction result, storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report.

[0298] Optionally, the terminal device sets the measurement report content and sends the measurement report, as detailed in protocol TS 38.331 release 18, 5.5.5.

[0299] Optionally, the terminal device sets the measurement report content in response to the fulfillment of the first condition.

[0300] Optionally, the terminal device satisfies at least one of the following conditions:

[0301] At least one measurement identifier triggers a measurement report;

[0302] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0303] The terminal device has at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0304] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0305] Optionally, the measurement report content includes at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0306] Optionally, when a measurement identifier triggers a measurement report, the measurement report content set by the terminal device includes at least one of the following: measurement prediction result, measurement result, and event prediction measurement result.

[0307] Optionally, if at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0308] Optionally, the measurement prediction results include at least one of the following: measurement results that satisfy the measurement prediction configuration, measurement results that satisfy the event prediction configuration, and measurement results that satisfy the prediction measurement configuration.

[0309] Optionally, the terminal device sends a measurement report.

[0310] Optionally, the terminal device reports the measurement prediction results through a measurement report.

[0311] Optionally, the network device receives measurement reports.

[0312] The specific process involved in this embodiment can be seen in Figure 6.

[0313] Through the technical solution of this embodiment, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration. Specifically, the measurement report content is set and the measurement report is sent with the measurement prediction results through the first measurement configuration and / or the second measurement configuration. The measurement reporting processing mechanism is clarified to meet the reporting requirements, provide the network with the ability to obtain the measurement prediction results of the terminal device and make preparations in advance, thereby supporting the reduction of service interruption latency caused by handover.

[0314] Sixth Embodiment

[0315] Based on any of the above embodiments of this application, a sixth embodiment of this application is proposed, which further proposes a processing method for reporting measurement prediction results based on measurement configuration.

[0316] Optionally, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0317] Optionally, the first measurement configuration includes at least one of a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration.

[0318] Optionally, the second measurement configuration includes periodic measurements and / or event-triggered measurements.

[0319] Optionally, the predictive measurement configuration includes a predictive measurement configuration with periodic reporting or a predictive measurement configuration with event-triggered reporting.

[0320] Optionally, the terminal device sets the measurement report content in response to the fulfillment of the first condition.

[0321] Optionally, the terminal device satisfies at least one of the following conditions:

[0322] At least one measurement identifier triggers a measurement report;

[0323] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0324] The terminal device has at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0325] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0326] Optionally, the measurement report content includes at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0327] Optionally, if a measurement identifier triggers a measurement report, and the report configuration type associated with the measurement identifier is periodic or event-triggered, then the measurement report content set by the terminal device includes at least one of the following: measurement prediction result, measurement result, and event prediction measurement result.

[0328] Optionally, if a measurement identifier triggers a measurement report, and the report configuration type associated with the measurement identifier is periodic or event-triggered and contains at least one of stored measurement prediction results, stored event prediction results, or stored event prediction measurement results, then the measurement report content set by the terminal device includes at least one of measurement prediction results, measurement results, and event prediction measurement results.

[0329] Optionally, if a measurement identifier triggers a measurement report, the report configuration type associated with the measurement identifier is periodic or event-triggered, and another measurement identifier triggers a measurement report, the other measurement identifier is associated with a measurement prediction configuration and / or an event prediction configuration, then the measurement report content set by the terminal device includes at least one of the following: measurement prediction result, measurement result, and event prediction measurement result.

[0330] Optionally, if a measurement identifier triggers a measurement report, the report configuration type associated with the measurement identifier is periodic or event-triggered, and another measurement identifier triggers a measurement report, and the other measurement identifier is associated with a predictive measurement configuration, then the measurement report content set by the terminal device includes at least one of the following: measurement prediction result, measurement result, and event-predicted measurement result.

[0331] Optionally, if at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0332] Optionally, the measurement prediction results include at least one of the following: measurement results that satisfy the measurement prediction configuration, measurement results that satisfy the event prediction configuration, and measurement results that satisfy the prediction measurement configuration.

[0333] Optionally, the terminal device sends a measurement report.

[0334] Optionally, the terminal device reports the measurement prediction results through a measurement report.

[0335] Optionally, the network device receives measurement reports.

[0336] The specific process involved in this embodiment can be seen in Figure 6.

[0337] Through the technical solution of this embodiment, the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration, and reports the measurement prediction results in combination with the existing measurement reporting method, so as to enable the network to obtain the measurement prediction results of the terminal device and make preparations in advance, thereby supporting the reduction of service interruption latency caused by handover.

[0338] Seventh Embodiment

[0339] Referring to Figure 7, which is a flowchart illustrating the processing method of the seventh embodiment of this application, the processing method of this embodiment can be applied to network devices (such as base stations), and includes step S1:

[0340] Step S1: The network device sends a first measurement configuration and / or a second measurement configuration so that the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0341] The embodiments of this application propose a technical solution that can clearly define the measurement reporting and processing mechanism to meet reporting requirements, thereby supporting the reduction of service interruption latency caused by handover.

[0342] Optionally, the first measurement configuration and / or the second measurement configuration are provided by the network device.

[0343] Optionally, network equipment may include at least one of a network, a base station, a serving base station, and a serving cell.

[0344] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0345] Optionally, the network device sends a Radio Resource Control Reconfiguration (RRC) signaling message, which carries the measurement configuration. For details, please refer to protocol TS 38.331 release 18, 6.2.2.

[0346] Optionally, the measurement configuration includes at least one of the following: a list of added and modified measurement targets, a list of added and modified report configurations, a list of added and modified measurement identifiers, a list of removed measurement targets, a list of removed report configurations, and a list of removed measurement identifiers.

[0347] Optionally, the new modification list can be used to add or modify measurement targets, report configurations, and measurement tasks.

[0348] Optionally, the removal list is used to remove or delete measurement targets, report configurations, and measurement tasks. For details, please refer to protocol TS 38.331 release 18, 6.3.2.

[0349] Optionally, the measurement target addition and modification list includes at least one measurement target identifier and the associated measurement target.

[0350] Optionally, the report configuration modification list includes at least one report configuration identifier and the associated report configuration.

[0351] Optionally, the measurement identifier addition and modification list includes at least one measurement identifier as well as associated measurement target identifier and report configuration identifier.

[0352] Optionally, a measurement target identifier and a report configuration identifier associated with a measurement identifier can be used as a measurement task and / or a measurement reporting task, as detailed in TS 38.331 release 18, 5.5.3, 5.5.4.

[0353] Optionally, the report configuration includes report types.

[0354] Optionally, the report type includes at least one of periodic measurement, event-triggered measurement, and condition-triggered configuration.

[0355] Optionally, the report type may also include at least one of predictive measurement configuration, measurement prediction configuration, and event prediction configuration.

[0356] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0357] Optionally, the terminal device obtains the measurement configuration from the radio resource control reconfiguration signaling.

[0358] Optionally, the measurement configuration obtained by the terminal device from the radio resource control reconfiguration signaling includes a first measurement configuration and / or a second measurement configuration.

[0359] Optionally, the first measurement configuration includes at least one of the following: predictive measurement configuration, measurement prediction configuration (measPredictionConfig), and event prediction configuration (eventPredictionConfig).

[0360] Optionally, the first measurement configuration may be a measurement configuration that includes a measurement type of predictive measurement configuration and / or measurement prediction configuration and / or event prediction configuration.

[0361] Optionally, the second measurement configuration includes periodic measurements and / or event-triggered measurements.

[0362] Optionally, the measurement prediction configuration is used to report measurement prediction and / or inference results.

[0363] Optionally, the measurement prediction configuration can be a measurement inference configuration (measInferenceConfig), an artificial intelligence machine learning measurement prediction configuration (AI_MLmeasPredictionConfig), an artificial intelligence machine learning measurement inference configuration (AI_MLmeasInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0364] Optionally, the event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0365] Optionally, the event prediction configuration can be an event inference configuration (eventInferenceConfig), an artificial intelligence machine learning event prediction configuration (AI_MLeventPredictionConfig), an artificial intelligence machine learning event inference configuration (AI_MLeventInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the configuration.

[0366] Optionally, the predictive measurement configuration includes a predictive measurement configuration with periodic reporting or a predictive measurement configuration with event-triggered reporting.

[0367] Optionally, the predictive measurement configuration indicates periodic report predictions or event-triggered report predictions via prediction indicators.

[0368] Optionally, the report configuration also includes forecast indicators.

[0369] Optionally, the prediction indicator is used to indicate whether the report type is used for prediction. For example, if a report configuration includes a prediction indicator and the report type is periodic, then it is a prediction measurement configuration for periodic reports; or, if a report configuration includes a prediction indicator and the report type is event-triggered, then it is a prediction measurement configuration for event-triggered reports.

[0370] Optionally, a measurement configuration may include a prediction indication, which could be a prediction measurement configuration or a measurement configuration used for prediction, etc., and the embodiments of this application are not limited thereto. Optionally, the embodiments of this application are referred to as prediction measurement configurations in the following description.

[0371] Optionally, the prediction measurement configuration can be an inference measurement configuration (InferenceMeasConfig), an artificial intelligence machine learning prediction measurement configuration (AI_MLPredictionMeasConfig), an artificial intelligence machine learning inference measurement configuration (AI_MLInferenceMeasConfig), an inference event configuration (InferenceEventConfig), an artificial intelligence machine learning prediction event configuration (AI_MLPredictionEventConfig), an artificial intelligence machine learning inference event configuration (AI_MLInferenceEventConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0372] Optionally, the prediction indication can be represented by a single bit, for example, if the bit indication is "1", it indicates that the measurement configuration is used for prediction; and / or, if the bit indication is "0", it indicates that the measurement configuration is not used for prediction.

[0373] Optionally, if a prediction indication exists, it indicates that the measurement configuration is used for prediction; and / or, if a prediction indication does not exist, it indicates that the measurement configuration is not used for prediction.

[0374] Optionally, after obtaining the measurement configuration from the radio resource control reconfiguration signaling, the terminal device stores the measurement configuration.

[0375] Optionally, the terminal device stores measurement configurations including at least one of the following: storing measurement target addition / modification list configurations via a measurement target list, storing report configuration addition / modification list configurations via a report configuration list, storing measurement identifier addition / modification list configurations via a measurement identifier list, removing measurement targets from the measurement target list, removing report configurations from the report configuration list, and removing measurement identifiers from the report configuration list. For details, please refer to protocol TS 38.331 release 18, 5.5.2.

[0376] Optionally, the measurement configurations stored in the terminal device include measurement configurations whose measurement type is predictive measurement configuration and / or measurement prediction configuration and / or event prediction configuration.

[0377] Optionally, the terminal device stores a first measurement configuration, such as a predictive measurement configuration, a measurement prediction configuration, and / or an event prediction configuration.

[0378] Optionally, the terminal device storing the first measurement configuration includes at least one of the following: storing a measurement target addition / modification list configuration through a predicted measurement target list, storing a report configuration addition / modification list configuration through a predicted report configuration list, storing a measurement identifier addition / modification list configuration through a predicted measurement identifier list, removing a measurement target from the predicted measurement target list, removing a report configuration from the predicted report configuration list, and removing a measurement identifier from the predicted measurement identifier list.

[0379] Optionally, the terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including:

[0380] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0381] Optionally, the measurement prediction results include at least one of the following: measurement results that satisfy the measurement prediction configuration, measurement results that satisfy the event prediction configuration, and measurement results that satisfy the prediction measurement configuration.

[0382] Optionally, if the terminal device is equipped with an artificial intelligence machine learning model, the terminal device can report the measurement prediction results through the artificial intelligence machine learning model.

[0383] Optionally, the network device sends a Radio Resource Control (RRC) reconfiguration signaling message, and carries an AI machine learning event prediction configuration and / or an AI machine learning event inference configuration message in the RRC reconfiguration signaling message.

[0384] Optionally, the terminal device obtains the AI ​​machine learning event prediction configuration and the AI ​​machine learning event inference configuration from the radio resource control reconfiguration signaling.

[0385] Optionally, the terminal device reports measurement prediction results or inference results based on artificial intelligence machine learning event prediction configuration and artificial intelligence machine learning event inference configuration.

[0386] The specific process involved in this embodiment can be seen in Figure 6.

[0387] Through the technical solution of this embodiment, the network device sends a first measurement configuration and / or a second measurement configuration so that the network device can obtain the measurement prediction results reported based on the first measurement configuration and / or the second measurement configuration. This clarifies the measurement reporting processing mechanism to meet the reporting requirements and thus support the reduction of service interruption latency caused by handover.

[0388] Eighth embodiment

[0389] Referring to Figure 8, which is a schematic diagram of the interaction flow between a network device and a terminal device according to the processing method of the eighth embodiment, the eighth embodiment of this application proposes a processing method, including steps S1 and S2:

[0390] Step S1: The network device sends a first measurement configuration and / or a second measurement configuration so that the terminal device can report the measurement prediction results based on the first measurement configuration and / or the second measurement configuration;

[0391] Step S2: The terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0392] In the technical solution of this application embodiment, the network device sends a first measurement configuration and / or a second measurement configuration, and the terminal device reports the measurement prediction result based on the first measurement configuration and / or the second measurement configuration. The measurement reporting processing mechanism can be clearly defined to meet the reporting requirements and / or the network device can prepare in advance based on the measurement prediction result, thereby supporting the reduction of service interruption latency caused by handover.

[0393] Optionally, the first measurement configuration and / or the second measurement configuration are provided by the network device.

[0394] Optionally, network equipment may include at least one of a network, a base station, a serving base station, and a serving cell.

[0395] Optionally, the first measurement configuration and / or the second measurement configuration are carried by radio resource control reconfiguration signaling.

[0396] Optionally, the network device sends a Radio Resource Control Reconfiguration (RRC) signaling message, which carries the measurement configuration. For details, please refer to protocol TS 38.331 release 18, 6.2.2.

[0397] Optionally, the measurement configuration includes at least one of the following: a list of added and modified measurement targets, a list of added and modified report configurations, a list of added and modified measurement identifiers, a list of removed measurement targets, a list of removed report configurations, and a list of removed measurement identifiers.

[0398] Optionally, the new modification list can be used to add or modify measurement targets, report configurations, and measurement tasks.

[0399] Optionally, the removal list is used to remove or delete measurement targets, report configurations, and measurement tasks. For details, please refer to protocol TS 38.331 release 18, 6.3.2.

[0400] Optionally, the measurement target addition and modification list includes at least one measurement target identifier and the associated measurement target.

[0401] Optionally, the report configuration modification list includes at least one report configuration identifier and the associated report configuration.

[0402] Optionally, the measurement identifier addition and modification list includes at least one measurement identifier as well as associated measurement target identifier and report configuration identifier.

[0403] Optionally, a measurement target identifier and a report configuration identifier associated with a measurement identifier can be used as a measurement task and / or a measurement reporting task, as detailed in TS 38.331 release 18, 5.5.3, 5.5.4.

[0404] Optionally, the report configuration includes report types.

[0405] Optionally, the report type includes at least one of periodic measurement, event-triggered measurement, and condition-triggered configuration.

[0406] Optionally, the report type may also include at least one of predictive measurement configuration, measurement prediction configuration, and event prediction configuration.

[0407] Optionally, the terminal device receives a radio resource control reconfiguration signaling message.

[0408] Optionally, the terminal device obtains the measurement configuration from the radio resource control reconfiguration signaling.

[0409] Optionally, the measurement configuration obtained by the terminal device from the radio resource control reconfiguration signaling includes a first measurement configuration and / or a second measurement configuration.

[0410] Optionally, the first measurement configuration includes at least one of the following: predictive measurement configuration, measurement prediction configuration (measPredictionConfig), and event prediction configuration (eventPredictionConfig).

[0411] Optionally, the first measurement configuration may be a measurement configuration that includes a measurement type of predictive measurement configuration and / or measurement prediction configuration and / or event prediction configuration.

[0412] Optionally, the second measurement configuration includes periodic measurements and / or event-triggered measurements.

[0413] Optionally, the measurement prediction configuration is used to report measurement prediction and / or inference results.

[0414] Optionally, the measurement prediction configuration can be a measurement inference configuration (measInferenceConfig), an artificial intelligence machine learning measurement prediction configuration (AI_MLmeasPredictionConfig), an artificial intelligence machine learning measurement inference configuration (AI_MLmeasInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0415] Optionally, the event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0416] Optionally, the event prediction configuration can be an event inference configuration (eventInferenceConfig), an artificial intelligence machine learning event prediction configuration (AI_MLeventPredictionConfig), an artificial intelligence machine learning event inference configuration (AI_MLeventInferenceConfig), or other configurations that can achieve the same function. This application embodiment does not limit the configuration.

[0417] Optionally, the predictive measurement configuration includes a predictive measurement configuration with periodic reporting or a predictive measurement configuration with event-triggered reporting.

[0418] Optionally, the predictive measurement configuration indicates periodic report predictions or event-triggered report predictions via prediction indicators.

[0419] Optionally, the report configuration also includes forecast indicators.

[0420] Optionally, the prediction indicator is used to indicate whether the report type is used for prediction. For example, if a report configuration includes a prediction indicator and the report type is periodic, then it is a prediction measurement configuration for periodic reports; or, if a report configuration includes a prediction indicator and the report type is event-triggered, then it is a prediction measurement configuration for event-triggered reports.

[0421] Optionally, a measurement configuration may include a prediction indication, which could be a prediction measurement configuration or a measurement configuration used for prediction, etc., and the embodiments of this application are not limited thereto. Optionally, the embodiments of this application are referred to as prediction measurement configurations in the following description.

[0422] Optionally, the prediction measurement configuration can be an inference measurement configuration (InferenceMeasConfig), an artificial intelligence machine learning prediction measurement configuration (AI_MLPredictionMeasConfig), an artificial intelligence machine learning inference measurement configuration (AI_MLInferenceMeasConfig), an inference event configuration (InferenceEventConfig), an artificial intelligence machine learning prediction event configuration (AI_MLPredictionEventConfig), an artificial intelligence machine learning inference event configuration (AI_MLInferenceEventConfig), or other configurations that can achieve the same function. This application embodiment does not limit the scope of the configuration.

[0423] Optionally, the prediction indication can be represented by a single bit, for example, if the bit indication is "1", it indicates that the measurement configuration is used for prediction; and / or, if the bit indication is "0", it indicates that the measurement configuration is not used for prediction.

[0424] Optionally, if a prediction indication exists, it indicates that the measurement configuration is used for prediction; and / or, if a prediction indication does not exist, it indicates that the measurement configuration is not used for prediction.

[0425] Optionally, after obtaining the measurement configuration from the radio resource control reconfiguration signaling, the terminal device stores the measurement configuration.

[0426] Optionally, the terminal device stores measurement configurations including at least one of the following: storing measurement target addition / modification list configurations via a measurement target list, storing report configuration addition / modification list configurations via a report configuration list, storing measurement identifier addition / modification list configurations via a measurement identifier list, removing measurement targets from the measurement target list, removing report configurations from the report configuration list, and removing measurement identifiers from the report configuration list. For details, please refer to protocol TS 38.331 release 18, 5.5.2.

[0427] Optionally, the measurement configurations stored in the terminal device include measurement configurations whose measurement type is predictive measurement configuration and / or measurement prediction configuration and / or event prediction configuration.

[0428] Optionally, the terminal device stores a first measurement configuration, such as a predictive measurement configuration, a measurement prediction configuration, and / or an event prediction configuration.

[0429] Optionally, the terminal device storing the first measurement configuration includes at least one of the following: storing a measurement target addition / modification list configuration through a predicted measurement target list, storing a report configuration addition / modification list configuration through a predicted report configuration list, storing a measurement identifier addition / modification list configuration through a predicted measurement identifier list, removing a measurement target from the predicted measurement target list, removing a report configuration from the predicted report configuration list, and removing a measurement identifier from the predicted measurement identifier list.

[0430] Optionally, the terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including:

[0431] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0432] Optionally, the measurement prediction results include at least one of the following: measurement results that satisfy the measurement prediction configuration, measurement results that satisfy the event prediction configuration, and measurement results that satisfy the prediction measurement configuration.

[0433] Optionally, if the terminal device is equipped with an artificial intelligence machine learning model, the terminal device can report the measurement prediction results through the artificial intelligence machine learning model.

[0434] Optionally, the network device sends a Radio Resource Control (RRC) reconfiguration signaling message, and carries an AI machine learning event prediction configuration and / or an AI machine learning event inference configuration message in the RRC reconfiguration signaling message.

[0435] Optionally, the terminal device obtains the AI ​​machine learning event prediction configuration and the AI ​​machine learning event inference configuration from the radio resource control reconfiguration signaling.

[0436] Optionally, the terminal device reports measurement prediction results or inference results based on artificial intelligence machine learning event prediction configuration and artificial intelligence machine learning event inference configuration.

[0437] The specific process involved in this embodiment can be seen in Figure 6.

[0438] Through the technical solution of this embodiment, the network device sends a first measurement configuration and / or a second measurement configuration, and the terminal device reports the measurement prediction result based on the first measurement configuration and / or the second measurement configuration. The measurement reporting processing mechanism is clarified, and the network is provided with the ability to obtain the measurement prediction result of the terminal device and make preparations in advance, thereby supporting the reduction of service interruption latency caused by handover.

[0439] Ninth Embodiment

[0440] Please refer to Figure 9, which is a schematic diagram of the processing device provided in an embodiment of this application. This device can be mounted on or is the terminal device in the above method embodiments. The processing device shown in Figure 9 can be used to perform some or all of the functions in the method embodiments described above. As shown in Figure 9, the processing device 160 includes:

[0441] The reporting module 1601 is used to report measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0442] Optionally, the processing apparatus further includes at least one of the following:

[0443] The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration;

[0444] The second measurement configuration includes periodic measurements and / or event-triggered measurements;

[0445] The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

[0446] Optionally, measurement prediction results are reported based on the first measurement configuration and / or the second measurement configuration, including:

[0447] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, then the measurement prediction result shall be reported.

[0448] Optionally, the processing apparatus further includes at least one of the following:

[0449] Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting;

[0450] The measurement prediction configuration is used to report measurement prediction and / or inference results;

[0451] The event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0452] Optionally, the measurement prediction results include at least one of the following:

[0453] Measurement results that meet the measurement prediction configuration;

[0454] Measurement results that meet the event prediction configuration;

[0455] Measurement results that satisfy the predictive measurement configuration.

[0456] Optionally, the processing apparatus further includes at least one of the following:

[0457] Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators;

[0458] Send available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations;

[0459] Execute measurement and / or trigger measurement reports based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration;

[0460] Execute measurement and / or trigger measurement reports based on at least one of the available measurement prediction configurations, available event prediction configurations, and available predictive measurement configurations;

[0461] In response to the fulfillment of the first condition, set the measurement report content;

[0462] Send the measurement report.

[0463] Optionally, the processing apparatus further includes at least one of the following:

[0464] At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format;

[0465] If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, then perform at least one of the following: store the measurement prediction result, add the associated measurement identifier to the measurement report list, or trigger the measurement report;

[0466] If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, then at least one of the following is executed: store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report;

[0467] If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, then perform at least one of the following: store the measurement prediction result, store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report.

[0468] Optionally, satisfying the first condition includes at least one of the following:

[0469] At least one measurement identifier triggers a measurement report;

[0470] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0471] There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0472] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0473] Optionally, the processing apparatus further includes at least one of the following:

[0474] The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0475] The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason;

[0476] The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration;

[0477] The report configuration identifier is the report configuration identifier associated with the event prediction configuration;

[0478] The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

[0479] Optionally, the processing apparatus further includes at least one of the following:

[0480] The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available;

[0481] If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration.

[0482] Measurements are not performed for measurement prediction configurations, event prediction configurations, or prediction measurement configurations where the availability status is set to unavailable.

[0483] 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.

[0484] Tenth Embodiment

[0485] Please refer to Figure 10, which is a second 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 network 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 above. As shown in Figure 10, the processing device 170 includes:

[0486] The sending module 1701 is used to send a first measurement configuration and / or a second measurement configuration so that the terminal device can report the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

[0487] Optionally, the processing apparatus further includes at least one of the following:

[0488] The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration;

[0489] The second measurement configuration includes periodic measurements and / or event-triggered measurements;

[0490] The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

[0491] Optionally, the terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including:

[0492] If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

[0493] Optionally, the processing apparatus further includes at least one of the following:

[0494] Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting;

[0495] The measurement prediction configuration is used to report measurement prediction and / or inference results;

[0496] The event prediction configuration is used to report the results of measurement event predictions and / or inferences.

[0497] Optionally, the measurement prediction results include at least one of the following:

[0498] Measurement results that meet the measurement prediction configuration;

[0499] Measurement results that meet the event prediction configuration;

[0500] Measurement results that satisfy the predictive measurement configuration.

[0501] Optionally, the processing apparatus further includes at least one of the following:

[0502] Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators;

[0503] Receive available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations;

[0504] The terminal device performs measurement and / or triggers a measurement report based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0505] The terminal device performs measurement and / or triggers a measurement report based on at least one of the available measurement prediction configuration, the available event prediction configuration, and the available predictive measurement configuration.

[0506] The terminal device, in response to the fulfillment of the first condition, sets the measurement report content;

[0507] Receive measurement reports sent by the terminal device.

[0508] Optionally, the processing apparatus further includes at least one of the following:

[0509] At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format;

[0510] If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: stores the measurement prediction result, adds the associated measurement identifier to the measurement report list, and triggers the measurement report;

[0511] If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report;

[0512] If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, the terminal device performs at least one of the following: storing the measurement prediction result, storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering a measurement report.

[0513] Optionally, the terminal device satisfies at least one of the following conditions:

[0514] At least one measurement identifier triggers a measurement report;

[0515] The report type associated with the measurement identifier is configured as either periodic or event-triggered;

[0516] There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results;

[0517] The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

[0518] Optionally, the processing apparatus further includes at least one of the following:

[0519] The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results.

[0520] The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason;

[0521] The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration;

[0522] The report configuration identifier is the report configuration identifier associated with the event prediction configuration;

[0523] The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

[0524] Optionally, the processing apparatus further includes at least one of the following:

[0525] The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available;

[0526] If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration.

[0527] Terminal devices do not perform measurements for measurement prediction configurations, event prediction configurations, or prediction measurement configurations that are set to unavailable for available states.

[0528] 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.

[0529] Referring to Figure 11, which is a schematic diagram of the structure of a communication device provided in an embodiment of this application, the communication device 180 described in this embodiment may be a terminal device (or a component that can be used in a terminal device) or a network device (or a component that can be used in a network device) mentioned in the foregoing method embodiments. The communication device 180 can be used to implement the methods corresponding to the terminal device or network device described in the above method embodiments, as detailed in the descriptions in the above method embodiments.

[0530] The communication device 180 may include one or more processors 1801, which may also be referred to as processing units, and can perform certain control or processing functions. The processor 1801 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.

[0531] Optionally, the processor 1801 may also store instructions 1803 or data (e.g., intermediate data). Optionally, instructions 1803 may be executed by the processor 1801, causing the communication device 180 to perform the methods described in the above method embodiments corresponding to the terminal device or network device.

[0532] Optionally, the communication device 180 may include a circuit that can perform the functions of sending, receiving, or communicating in the foregoing method embodiments.

[0533] Optionally, the communication device 180 may include one or more memories 1802, which may store instructions 1804 that can be executed on the processor 1801 to cause the communication device 180 to perform the methods described in the above method embodiments.

[0534] Alternatively, the memory 1802 may also store data. The processor 1801 and the memory 1802 can be configured separately or integrated together.

[0535] Optionally, the communication device 180 may further include a transceiver 1805 and / or an antenna 1806. The processor 1801, which may be referred to as a processing unit, controls the communication device 180 (terminal device, core network device, or wireless access network device). The transceiver 1805, 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 180.

[0536] Optionally, if the communication device 180 is used to implement the operation corresponding to the terminal device in the above embodiments, for example, the transceiver 1805 may receive the first measurement configuration and / or the second measurement configuration; and the processor 1801 may report the measurement prediction result based on the first measurement configuration and / or the second measurement configuration.

[0537] Optionally, the specific implementation process of the processor 1801 and transceiver 1805 can be found in the relevant descriptions of the above embodiments, and will not be repeated here.

[0538] Optionally, if the communication device 180 is used to implement the operation corresponding to the network device in the above embodiments, for example, the transceiver 1805 may send the first measurement configuration and / or the second measurement configuration.

[0539] Optionally, the specific implementation process of the processor 1801 and transceiver 1805 can be found in the relevant descriptions of the above embodiments, and will not be repeated here.

[0540] The processor 1801 and transceiver 1805 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 1801 and transceiver 1805 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.

[0541] In this application, the communication device can be a terminal device (such as a mobile phone) or a network device (such as a base station), 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.

[0542] Although the communication device is described above using terminal devices or network devices as examples, the scope of the communication device described in this application is not limited to the aforementioned terminal devices or network devices, and the structure of the communication device is not limited to FIG11. The communication device can be a standalone device or can be part of a larger device.

[0543] This application also provides a communication system, including: a terminal device as described in any of the above embodiments; and a network device as described in any of the above embodiments.

[0544] 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.

[0545] The communication equipment mentioned in this application may be a terminal device (such as a mobile phone), a network device (such as a base station), 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.

[0546] 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.

[0547] 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.

[0548] 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.

[0549] 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.

[0550] 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.

[0551] 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.

[0552] The steps in the method of this application embodiment can be adjusted, combined, or deleted according to actual needs.

[0553] The units in the device of this application embodiment can be merged, divided, and deleted according to actual needs.

[0554] 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.

[0555] 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.

[0556] 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.

[0557] 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.

[0558] 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)).

[0559] 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

1. A processing method, wherein, Applied to terminal devices, including the following steps: S2: Report measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

2. The method according to claim 1, wherein, It also includes at least one of the following: The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration; The second measurement configuration includes periodic measurements and / or event-triggered measurements; The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

3. The method according to claim 2, wherein, Step S2 includes: If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, then the measurement prediction result shall be reported.

4. The method according to claim 3, wherein, It also includes at least one of the following: Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting; The measurement prediction configuration is used to report measurement prediction and / or inference results; The event prediction configuration is used to report the results of measurement event predictions and / or inferences; The measurement prediction results include at least one of the following: Measurement results that meet the measurement prediction configuration; Measurement results that meet the event prediction configuration; Measurement results that satisfy the predictive measurement configuration.

5. The method according to claim 4, wherein, It also includes at least one of the following: Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators; Send available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations; Execute measurement and / or trigger measurement reports based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration; Execute measurement and / or trigger measurement reports based on at least one of the available measurement prediction configurations, available event prediction configurations, and available predictive measurement configurations; In response to the fulfillment of the first condition, set the measurement report content; Send the measurement report.

6. The method according to claim 5, wherein, It also includes at least one of the following: At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format; If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, then perform at least one of the following: store the measurement prediction result, add the associated measurement identifier to the measurement report list, or trigger the measurement report; If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, then at least one of the following is executed: store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report; If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, then perform at least one of the following: store the measurement prediction result, store the event prediction result, store the event prediction measurement result, add the associated measurement identifier to the measurement report list, and trigger the measurement report; The first condition includes at least one of the following: At least one measurement identifier triggers a measurement report; The report type associated with the measurement identifier is configured as either periodic or event-triggered; There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results; The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

7. The method according to claim 6, wherein, It also includes at least one of the following: The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results. The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason; The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration; The report configuration identifier is the report configuration identifier associated with the event prediction configuration; The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

8. The method according to claim 7, wherein, It also includes at least one of the following: The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available; If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration. Measurements are not performed for measurement prediction configurations, event prediction configurations, or prediction measurement configurations where the availability status is set to unavailable.

9. A processing method, wherein, Applied to network devices, including the following steps: S1: Send the first measurement configuration and / or the second measurement configuration so that the terminal device reports the measurement prediction results based on the first measurement configuration and / or the second measurement configuration.

10. The method according to claim 9, wherein, It also includes at least one of the following: The first measurement configuration includes at least one of the following: a predictive measurement configuration, a measurement prediction configuration, and an event prediction configuration; The second measurement configuration includes periodic measurements and / or event-triggered measurements; The first measurement configuration and / or the second measurement configuration are carried by the radio resource control reconfiguration signaling.

11. The method according to claim 10, wherein, The terminal device reports measurement prediction results based on the first measurement configuration and / or the second measurement configuration, including: If at least one cell satisfies at least one of the following: predictive measurement configuration, measurement prediction configuration, event prediction configuration, periodic measurement, and event-triggered measurement, the terminal device reports the measurement prediction result.

12. The method according to claim 11, wherein, It also includes at least one of the following: Predictive measurement configurations include predictive measurement configurations with periodic reporting or predictive measurement configurations with event-triggered reporting; The measurement prediction configuration is used to report measurement prediction and / or inference results; The event prediction configuration is used to report the results of measurement event predictions and / or inferences; The measurement prediction results include at least one of the following: Measurement results that meet the measurement prediction configuration; Measurement results that meet the event prediction configuration; Measurement results that satisfy the predictive measurement configuration.

13. The method according to claim 12, wherein, It also includes at least one of the following: Predictive measurement configurations indicate periodic or event-triggered forecasts via forecast indicators; Receive available measurement prediction configurations and / or available event prediction configurations and / or available prediction measurement configurations; The terminal device performs measurement and / or triggers a measurement report based on at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration. The terminal device performs measurement and / or triggers a measurement report based on at least one of the available measurement prediction configuration, the available event prediction configuration, and the available predictive measurement configuration. The terminal device, in response to the fulfillment of the first condition, sets the measurement report content; Receive measurement reports sent by the terminal device.

14. The method according to claim 13, wherein, It also includes at least one of the following: At least one of the available measurement prediction configurations, available event prediction configurations, and available prediction measurement configurations is carried in a list format; If at least one report configuration is a measurement prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: stores the measurement prediction result, adds the associated measurement identifier to the measurement report list, and triggers the measurement report; If at least one report configuration is an event prediction configuration and the associated measurement target meets the measurement prediction, the terminal device performs at least one of the following: storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering the measurement report; If at least one report configuration includes a predictive measurement configuration and the associated measurement target satisfies the measurement prediction, the terminal device performs at least one of the following: storing the measurement prediction result, storing the event prediction result, storing the event prediction measurement result, adding the associated measurement identifier to the measurement report list, and triggering a measurement report; The terminal device meets at least one of the following conditions: At least one measurement identifier triggers a measurement report; The report type associated with the measurement identifier is configured as either periodic or event-triggered; There exists at least one of the following: stored measurement prediction results, event prediction results, and event prediction measurement results; The measurement identifier is associated with at least one of the measurement prediction configuration, event prediction configuration, and prediction measurement configuration.

15. The method according to claim 14, wherein, It also includes at least one of the following: The measurement report should include at least one of the following: measurement prediction results, measurement results, and event prediction measurement results. The list includes at least one of the following: associated report configuration identifier, availability status, release instruction, and reason; The report configuration identifier is the report configuration identifier associated with the measurement and prediction configuration; The report configuration identifier is the report configuration identifier associated with the event prediction configuration; The report configuration identifier is the report configuration identifier associated with the predictive measurement configuration.

16. The method according to claim 15, wherein, It also includes at least one of the following: The availability status is used to indicate whether at least one of the configured measurement prediction configuration, event prediction configuration, and prediction measurement configuration is available; If the availability status of at least one of the measurement prediction configuration, event prediction configuration, or prediction measurement configuration is set to unavailable and a reason is set, then the reason is used to instruct the network to remove or delete at least one of the corresponding measurement prediction configuration, event prediction configuration, or prediction measurement configuration. Terminal devices do not perform measurements for measurement prediction configurations, event prediction configurations, or prediction measurement configurations that are set to unavailable for available states.

17. A communication device, wherein, include: A memory and a processor, wherein the memory stores a processing program, and the processing program, when executed by the processor, implements the processing method as described in claim 1 or 9.

18. 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 claim 1 or 9.