Processing method, communication device, and storage medium
Patent Information
- Application Number
- PCT/CN2025/072790
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-01-16
- Publication Date
- 2025-11-06
AI Technical Summary
In existing wireless communication systems, the beam prediction mechanism and monitoring mechanism of artificial intelligence or machine learning are imperfect, resulting in unclear beam prediction accuracy and affecting network performance.
By implementing a processing method in the terminal device and the network device, the beam prediction accuracy is determined based on the first information, including the step: S1: determine the beam prediction accuracy based on the first information, and calculate the percentage of the beam prediction accuracy, the correct prediction times ratio, the time unit ratio and other indicators.
The determination mechanism of beam prediction accuracy is clarified, and the prediction mechanism and monitoring mechanism of artificial intelligence or machine learning are improved, thereby supporting the improvement of network performance.
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Figure CN2025072790_06112025_PF_FP_ABST
Abstract
Description
Processing method, communication device and storage medium Technical Field
[0001] The present application relates to the field of communication technology, and in particular to a processing method, communication equipment, and storage medium. Background Art
[0002] Introducing prediction and / or monitoring functions of artificial intelligence or machine learning (AI / ML) into wireless communication systems can improve network performance through the prediction and / or monitoring functions.
[0003] During the process of conceiving and implementing this application, the inventors discovered that there are at least the following problems: in the existing protocols, the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning is imperfect. For example, the mechanism for determining the beam prediction accuracy is unclear, which is not conducive to improving network performance.
[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Technical Solutions
[0005] The main purpose of this application is to provide a processing method, communication equipment and computer-readable storage medium, aiming to clarify the mechanism for determining beam prediction accuracy, so as to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, and thereby support the improvement of network performance.
[0006] This application provides a processing method that can be applied to a terminal device (such as a mobile phone), comprising the following steps:
[0007] S1: Determine beam prediction accuracy based on first information.
[0008] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0009] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0010] Optionally, the method further comprises at least one of the following:
[0011] The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first number of predicted beams or reference signal index values;
[0012] The prediction information includes: a first second number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first second number of predicted beams or reference signal index values;
[0013] The measurement information includes: a first number of measured beam or reference signal index values, and / or signal qualities corresponding to the first number of measured beam or reference signal index values;
[0014] The measurement information includes: the first third number of measured beams or reference signal index values, and / or the signal quality corresponding to the first third number of measured beams or reference signal index values.
[0015] Optionally, the beam prediction accuracy includes at least one of the following:
[0016] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0017] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0018] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0019] The ratio of the number of correct predictions to the number of actual monitoring times;
[0020] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0021] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0022] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0023] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0024] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0025] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0026] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0027] Optionally, the number of correct predictions includes at least one of the following:
[0028] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0029] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0030] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0031] Optionally, the number of correctly predicted time units includes at least one of the following:
[0032] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0033] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0034] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0035] Optionally, the method further comprises at least one of the following:
[0036] The actual number of monitoring times is the number of at least one prediction information;
[0037] The actual number of monitoring times is the number of groups with at least one prediction information;
[0038] The number of time units effectively monitored is the number of time units corresponding to at least one prediction information;
[0039] The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
[0040] Optionally, the method further comprises at least one of the following:
[0041] Determine a first reference signal set and / or a second reference signal set based on the first CSI reporting configuration;
[0042] determining a first CSI reference resource and / or a time slot for a first CSI report based on the first CSI reporting configuration;
[0043] determining a third reference signal set based on the second CSI reporting configuration;
[0044] A second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI reporting configuration.
[0045] Optionally, the method further comprises at least one of the following:
[0046] The monitoring window is a time unit no later than a fourth number of the third reference signal set of the second CSI reference resource;
[0047] The monitoring window is a time unit no later than a fourth number of target reference signal sets of the second CSI reference resource;
[0048] The monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set;
[0049] The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set;
[0050] The monitoring window is a time unit that is no later than the fourth number of sets of prediction information of the second CSI reference resource and the corresponding target reference signal set:
[0051] The monitoring window is a time unit that is no later than the fourth number of the second CSI reference resource, the third reference signal set, and the corresponding target reference signal set:
[0052] The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0053] Optionally, the method further comprises at least one of the following:
[0054] The at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set;
[0055] The target reference signal set is determined based on the third reference signal set;
[0056] A set of prediction information is determined based on at least one of a latest transmission opportunity of the first reference signal set, a time slot of the first CSI report, and a first CSI reference resource;
[0057] A set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set;
[0058] A set of prediction information includes a sixth number of prediction information;
[0059] The number of monitoring window time units is the number of transmission opportunities and / or time slots;
[0060] The number of monitoring window time units is the number of reference signal time units.
[0061] The present application also provides a processing method, which can be applied to a network device (such as a base station), comprising the steps of:
[0062] S2: Receive uplink information including beam prediction accuracy, where the beam prediction accuracy is determined by the terminal device based on the first information.
[0063] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0064] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0065] Optionally, the method further comprises at least one of the following:
[0066] The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first number of predicted beams or reference signal index values;
[0067] The prediction information includes: a first second number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first second number of predicted beams or reference signal index values;
[0068] The measurement information includes: a first number of measured beam or reference signal index values, and / or signal qualities corresponding to the first number of measured beam or reference signal index values;
[0069] The measurement information includes: the first third number of measured beams or reference signal index values, and / or the signal quality corresponding to the first third number of measured beams or reference signal index values.
[0070] Optionally, the beam prediction accuracy includes at least one of the following:
[0071] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0072] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0073] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0074] The ratio of the number of correct predictions to the number of actual monitoring times;
[0075] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0076] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0077] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0078] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0079] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0080] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0081] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0082] Optionally, the number of correct predictions includes at least one of the following:
[0083] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0084] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0085] the number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values;
[0086] The number of correctly predicted time units, including at least one of the following:
[0087] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0088] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0089] the number of time units in which the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values;
[0090] The actual number of monitoring times is the number of at least one prediction information;
[0091] The actual number of monitoring times is the number of groups with at least one prediction information;
[0092] The number of time units effectively monitored is the number of time units corresponding to at least one prediction information;
[0093] The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
[0094] Optionally, the method further comprises at least one of the following:
[0095] Determine a first reference signal set and / or a second reference signal set based on the first CSI reporting configuration;
[0096] determining a first CSI reference resource and / or a time slot for a first CSI report based on the first CSI reporting configuration;
[0097] determining a third reference signal set based on the second CSI reporting configuration;
[0098] A second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI reporting configuration.
[0099] Optionally, the method further comprises at least one of the following:
[0100] The monitoring window is a time unit no later than a fourth number of the third reference signal set of the second CSI reference resource;
[0101] The monitoring window is a time unit no later than a fourth number of target reference signal sets of the second CSI reference resource;
[0102] The monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set;
[0103] The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set;
[0104] The monitoring window is a time unit that is no later than the fourth number of sets of prediction information of the second CSI reference resource and the corresponding target reference signal set:
[0105] The monitoring window is a time unit that is no later than the fourth number of the second CSI reference resource, the third reference signal set, and the corresponding target reference signal set:
[0106] The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0107] Optionally, the method further comprises at least one of the following:
[0108] The at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set;
[0109] The target reference signal set is determined based on the third reference signal set;
[0110] A set of prediction information is determined based on at least one of a latest transmission opportunity of the first reference signal set, a time slot of the first CSI report, and a first CSI reference resource;
[0111] A set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set;
[0112] A set of prediction information includes a sixth number of prediction information;
[0113] The number of monitoring window time units is the number of transmission opportunities and / or time slots;
[0114] The number of monitoring window time units is the number of reference signal time units.
[0115] The present application also provides a communication device, comprising: a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program implements the steps of any of the above-described processing methods when executed by the processor.
[0116] The communication device in this application can be a terminal device (such as a mobile phone), a network device (such as a base station), or a chip (such as an SOC or a baseband chip with communication functions, etc.). The specific reference needs to be clarified according to the context.
[0117] The present application also provides a computer-readable storage medium, on which a processing program is stored. When the processing program is executed by a processor, the steps of any of the processing methods described above are implemented.
[0118] The technical solution of the present application determines the beam prediction accuracy based on the first information, clarifies the mechanism for determining the beam prediction accuracy, so as to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance. BRIEF DESCRIPTION OF THE DRAWINGS
[0119] The accompanying drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for describing the embodiments. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without inventive work.
[0120] FIG1 is a schematic diagram of the hardware structure of a mobile terminal for implementing various embodiments of the present application;
[0121] FIG2 is a diagram of a communication network system architecture provided by an embodiment of the present application;
[0122] FIG3 is a schematic diagram of the hardware structure of a controller 140 provided in this application;
[0123] FIG4 is a schematic diagram of the hardware structure of a network node 150 provided in this application;
[0124] FIG5 is a schematic flow chart of a processing method according to the first embodiment;
[0125] FIG6 is a schematic flow chart of a processing method according to a fifth embodiment;
[0126] FIG7 is a schematic diagram of an interaction sequence according to a sixth embodiment;
[0127] FIG8 is a first structural diagram of a processing device provided in an embodiment of the present application;
[0128] FIG9 is a second structural diagram of a processing device provided in an embodiment of the present application;
[0129] FIG10 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application.
[0130] The purpose of this application, its features, and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and the accompanying text are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of this application to those skilled in the art by reference to specific embodiments.
[0131] Implementation Methods of the Application
[0132] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
[0133] It should be noted that, in this document, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element, and / or, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.
[0134] 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 solely to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, 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 term "if," as used herein, may be interpreted as "upon," "when," or "in response to a determination." Furthermore, as used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms "comprising" and "including" indicate the presence of the recited features, steps, operations, elements, components, items, types, and / or groups, but do not preclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, types, and / or groups. The terms "or," "and / or," "including at least one of the following," etc., as used herein, may be interpreted as inclusive, meaning any one or any combination. For example, “comprising at least one of the following: A, B, C” means “any of the following: A; B; C; A and B; A and C; B and C; A and B and C”; and for another example, “A, B or C” or “A, B and / or C” means “any of the following: A; B; C; A and B; A and C; B and C; A and B and C”. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some manner.
[0135] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless clearly stated herein, the execution of these steps is not strictly limited in order, and they can be performed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.
[0136] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.
[0137] It should be noted that in this article, step codes such as S1 and S2 are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial restriction on the order. When implementing the step, those skilled in the art may execute S2 first and then S1, etc., but these should all be within the scope of protection of this application.
[0138] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.
[0139] In the subsequent description, the use of suffixes such as "module", "component" or "unit" to represent elements is only for the purpose of facilitating the description of the present application and has no specific meaning. Therefore, "module", "component" or "unit" can be used interchangeably.
[0140] The communication device in this application can be a terminal device (such as a mobile phone), a network device (such as a base station), or a chip (such as an SOC or a baseband chip with communication functions, etc.). The specific reference needs to be clarified according to the context.
[0141] The terminal device may be implemented in various forms. For example, the terminal device described in this application may include intelligent terminal devices such as mobile phones, tablet computers, laptop computers, PDAs, portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, and other fixed terminal devices such as digital TVs and desktop computers.
[0142] The subsequent description will be made using a mobile terminal as an example. Those skilled in the art will understand that, in addition to components specifically used for mobile purposes, the configuration according to the embodiments of the present application can also be applied to fixed-type terminal devices.
[0143] Please refer to Figure 1, which is a schematic diagram of the hardware structure of a mobile terminal for implementing various embodiments of the present application. The mobile terminal 100 may include components such as an RF (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. Those skilled in the art will understand that the mobile terminal structure shown in Figure 1 does not limit the mobile terminal. The mobile terminal may include more or fewer components than shown, or may combine certain components, or arrange the components differently.
[0144] The following is a detailed introduction to the various components of the mobile terminal in conjunction with Figure 1:
[0145] The RF unit 101 can be used to send and receive information or receive signals during calls. Specifically, it receives downlink information from the base station and transmits it to the processor 110 for processing. It also transmits uplink data to the base station. Typically, the RF unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and / or other components. Furthermore, the RF unit 101 can communicate with the network and other devices via wireless communication. The above-mentioned 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, etc.
[0146] WiFi is a short-range wireless transmission technology. A mobile terminal, through WiFi module 102, enables users to send and receive emails, browse web pages, and access streaming media, providing wireless broadband Internet access. Although FIG1 illustrates WiFi module 102, it is understood that it is not a required component of the mobile terminal and can be omitted as needed without altering the essence of the invention.
[0147] The audio output unit 103 can convert audio data received by the RF unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output it as sound when the mobile terminal 100 is in a call signal reception mode, a talk mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Furthermore, the audio output unit 103 can also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, or the like.
[0148] 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 captured by an image capture device (e.g., a camera) in video capture mode or image capture mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the GPU 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the RF unit 101 or the WiFi module 102. The microphone 1042 may receive sound (audio data) in operating modes such as a phone call mode, a recording mode, and a voice recognition mode, and may process such sound into audio data. In the phone call mode, the processed audio (voice) data may be converted into a format that can be transmitted to a mobile communication base station via the RF unit 101. The microphone 1042 may 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.
[0149] 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 brightness of the ambient light, and the proximity sensor can turn off the display panel 1061 and / or the backlight when the mobile terminal 100 is moved to the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that recognize the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors that can be configured in the mobile phone, such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., they will not be described here.
[0150] 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.
[0151] The user input unit 107 can be used to receive input digital or character information and generate key signal input related to user settings and function control of the mobile terminal. Optionally, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also known as a touch screen, can collect user touch operations on or near it (such as operations performed by the user using a finger, stylus, or any other suitable object or accessory on or near the touch panel 1071) and drive corresponding connected devices according to a pre-set program. The touch panel 1071 may include two parts: a touch detection device and a touch controller. Optionally, the touch detection device detects the user's touch direction and detects the signal generated by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 110. It can also receive and execute commands sent by the processor 110. And / or, the 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 further include other input devices 1072. Optionally, the other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, power keys, etc.), a trackball, a mouse, a joystick, etc., and the specifics are not limited here.
[0152] Optionally, the touch panel 1071 may overlay 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. The processor 110 then provides a corresponding visual output on the display panel 1061 based on the type of touch event. Although in FIG1 , the touch panel 1071 and the display panel 1061 are shown as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, which is not limited to this specific embodiment.
[0153] The interface unit 108 serves as an interface through which at least one external device can be connected to the 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. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and an external device.
[0154] Memory 109 can be used to store software programs and various data. Memory 109 may primarily include a program storage area and a data storage area. Optionally, the program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, / or, memory 109 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0155] Processor 110 is the control center of the mobile terminal, connecting all components of the mobile terminal using various interfaces and circuits. By running or executing software programs and / or modules stored in memory 109 and accessing data stored in memory 109, it executes various functions of the mobile terminal and processes data, thereby providing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, processor 110 may integrate an application processor and a modem processor. Optionally, the application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into processor 110.
[0156] The mobile terminal 100 may also include a power supply 111 (such as a battery) for supplying power to various components. Preferably, the power supply 111 may be logically connected to the processor 110 through a power management system, thereby managing functions such as charging, discharging, and power consumption through the power management system.
[0157] Although not shown in FIG. 1 , the mobile terminal 100 may further include a Bluetooth module, etc., which will not be described in detail here.
[0158] To facilitate understanding of the embodiments of the present application, the communication network system on which the mobile terminal of the present application is based is described below.
[0159] Please refer to Figure 2, which is a communication network system architecture diagram provided in an embodiment of the present application. The communication network system is an NR (New Radio) system of universal 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 an operator's IP service 204, which are connected in sequence.
[0160] Optionally, UE201 may be the above-mentioned terminal device 100, which will not be described in detail here.
[0161] E-UTRAN 202 includes eNodeB 2021 and other eNodeBs 2022 . Optionally, eNodeB 2021 may be connected to other eNodeBs 2022 via a backhaul (eg, an X2 interface). eNodeB 2021 is connected to EPC 203 , and eNodeB 2021 may provide access from UE 201 to EPC 203 .
[0162] EPC 203 may include MME (Mobility Management Entity) 2031, HSS (Home Subscriber Server) 2032, other MMEs 2033, SGW (Serving Gate Way) 2034, PGW (PDN Gate Way) 2035, and PCRF (Policy and Charging Rules Function) 2036. MME 2031 is the control node that processes signaling between UE 201 and EPC 203, providing bearer and connection management. HSS 2032 provides registers for managing functions such as the Home Location Register (not shown) and stores user-specific information such as service features and data rates. All user data can be sent through SGW2034, PGW2035 can provide IP address allocation and other functions for UE 201, PCRF2036 is the policy and charging control policy decision point for service data flow and IP bearer resources, and it selects and provides available policy and charging control decisions for the policy and charging execution function unit (not shown in the figure).
[0163] The IP service 204 may include the Internet, an intranet, an IMS (IP Multimedia Subsystem), or other IP services.
[0164] Although the above introduction takes 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 can also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, 5G and future new network systems (such as 6G), etc., which are not limited here.
[0165] FIG3 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 principles and beneficial effects are similar and will not be repeated here.
[0166] 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.
[0167] Figure 4 is a schematic diagram of the hardware structure of a network node 150 provided in this application. Network node 150 includes: a memory 1501 and a processor 1502. Memory 1501 is used to store program instructions, and processor 1502 is used to call the program instructions in memory 1501 to execute the steps performed by the first node in the first embodiment of the above method. The implementation principles and beneficial effects are similar and will not be repeated here.
[0168] 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.
[0169] The integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The software function modules stored in a storage medium include a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute some of the steps of the methods of various embodiments of the present application.
[0170] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. 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 storage medium. For example, the computer instructions can be transmitted from a website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. 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 includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive solid state disk, SSD), etc.
[0171] Based on the above-mentioned mobile terminal hardware structure and communication network system, various embodiments of the present application are proposed.
[0172] Technical terms involved in the embodiments of this application:
[0173] AI / ML: Artificial Intelligence / Machine Learning, artificial intelligence or machine learning;
[0174] CSI: Channel State Information, channel state information;
[0175] CSI-RS: Channel State Information-Reference Signal, channel state information reference signal;
[0176] DCI: Downlink Control Information, downlink control information;
[0177] L1-RSRP: Layer-1 Reference Signal Receiving Power, layer 1 reference signal receiving power;
[0178] L1-SINR: Layer-1 Signal to Interference plus Noise Ratio, layer 1 signal to interference plus noise ratio;
[0179] NR: New Radio, New Air;
[0180] RRC: Radio Resource Control;
[0181] SSB: Synchronization Signaling Block, and / or, SSB also stands for SS / PBCH Block, i.e. synchronization signal or physical broadcast channel block;
[0182] UCI: Uplink Control Information, uplink control information;
[0183] UE: User Equipment.
[0184] First embodiment
[0185] 5 , which is a flow chart of a processing method according to a first embodiment, the processing method of the embodiment of the present application can be applied to a terminal device (such as a mobile phone), including the following steps:
[0186] S1: Determine beam prediction accuracy based on first information.
[0187] Optionally, prediction information is determined based on the first reference signal set and / or the second reference signal set, and performance indicators and / or beam prediction accuracy are determined based on the prediction information and the measurement information of the third reference signal set, so as to judge whether the current model / function is suitable. Therefore, it is necessary to design statistical and calculation methods for performance indicators and / or beam prediction accuracy to determine performance indicators and / or beam prediction accuracy based on the prediction information and the measurement information of the reference signal set, so that the terminal device and / or network device can evaluate or manage the model or function.
[0188] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0189] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0190] Optionally, the prediction information includes at least one of the following:
[0191] The first number of predicted beam or reference signal index values;
[0192] signal qualities corresponding to the first number of predicted beam or reference signal index values;
[0193] The first second number of predicted beam or reference signal index values;
[0194] The signal quality corresponding to the first second number of predicted beam or reference signal index values.
[0195] Optionally, the measurement information includes at least one of the following:
[0196] The beam or reference signal index values of the first number of measurements before;
[0197] signal qualities corresponding to the first number of measured beam or reference signal index values;
[0198] The beam or reference signal index values of the first third number of measurements;
[0199] The signal qualities corresponding to the first third number of measured beam or reference signal index values.
[0200] Optionally, the beam prediction accuracy includes at least one of the following:
[0201] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0202] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0203] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0204] The ratio of the number of correct predictions to the number of actual monitoring times;
[0205] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0206] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0207] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0208] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0209] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0210] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0211] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0212] Optionally, the number of monitoring window time units is the number of transmission opportunities and / or time slots.
[0213] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0214] Optionally, the number of correct predictions includes at least one of the following:
[0215] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0216] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0217] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0218] Optionally, the number of correctly predicted time units includes at least one of the following:
[0219] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0220] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0221] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0222] Optionally, the actual number of monitoring times is the number of at least one piece of prediction information.
[0223] Optionally, the actual number of monitoring times is the number of groups of at least one prediction information.
[0224] Optionally, the number of time units effectively monitored is the number of time units corresponding to at least one prediction information.
[0225] Optionally, the number of time units for effective monitoring is the number of time units corresponding to prediction information corresponding to at least one target reference signal set.
[0226] Optionally, the terminal device determines the first reference signal set and / or the second reference signal set based on the first CSI reporting configuration.
[0227] Optionally, the terminal device determines the first CSI reference resource and / or the time slot of the first CSI report based on the first CSI report configuration.
[0228] Optionally, the terminal device determines a third reference signal set based on the second CSI reporting configuration.
[0229] Optionally, the terminal device determines the second CSI reference resource and / or the time slot of the second CSI report based on the second CSI report configuration.
[0230] Optionally, the terminal device determines the first CSI reporting configuration based on the second CSI reporting configuration.
[0231] Optionally, the monitoring window is a time unit no later than a fourth number of third reference signal sets of the second CSI reference resource.
[0232] Optionally, the monitoring window is a time unit that is no later than a fourth number of target reference signal sets of the second CSI reference resource.
[0233] Optionally, the monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0234] Optionally, the monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set.
[0235] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0236] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of the second CSI reference resources, the third reference signal set, and the corresponding target reference signal set.
[0237] Optionally, the monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0238] Optionally, the at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set.
[0239] Optionally, the target reference signal set is determined based on a third reference signal set.
[0240] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0241] Optionally, a set of prediction information includes a sixth number of prediction information.
[0242] Optionally, a set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set.
[0243] Optionally, the reference signal includes CSI-RS and / or SSB.
[0244] Optionally, the time unit includes at least one of a timestamp, a measurement instance, a time instance, a transmission opportunity, an opportunity, a frame, a subframe, a time slot, a symbol, a timestamp index, a measurement instance index, a time instance index, a transmission opportunity index, an opportunity index, a frame index, a subframe index, a time slot index, and a symbol index.
[0245] Optionally, the terminal device manages the model or function according to the determined beam prediction accuracy.
[0246] Optionally, the terminal device reports the beam prediction accuracy to the network device, so that the network device manages the model or function according to the beam prediction accuracy.
[0247] Through the technical solution of this embodiment, the beam prediction accuracy is determined based on the first information, and the mechanism for determining the beam prediction accuracy is clarified to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0248] Second embodiment
[0249] Based on the first embodiment of the present application, this embodiment further discloses a method for determining prediction information and / or measurement information of a target reference signal set.
[0250] Optionally, the terminal device determines the beam prediction accuracy based on the first information.
[0251] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0252] Optionally, at least one target reference signal set is determined based on reference information.
[0253] Optionally, the reference information includes at least one of prediction information, a first reference signal set, a second reference signal set, a third reference signal set, a time slot of a first CSI report, and a first CSI reference resource; and / or, the target reference signal set is used to determine the beam prediction accuracy.
[0254] Optionally, the prediction information includes prediction information determined based on the first reference signal set.
[0255] Optionally, the prediction information includes prediction information determined based on a time slot of the first CSI report.
[0256] Optionally, the prediction information includes prediction information determined based on the first CSI reference resource.
[0257] Optionally, the prediction information includes a set of prediction information determined based on the latest transmission opportunity of the first reference signal set.
[0258] Optionally, the prediction information includes a set of prediction information determined based on a time slot of the first CSI report.
[0259] Optionally, the prediction information includes a set of prediction information determined based on the first CSI reference resource.
[0260] Optionally, the target reference signal set is no later than the prediction information and / or the second reference signal set in the time domain.
[0261] Optionally, the target reference signal set is later than at least one of the prediction information, the first reference signal set, and the second reference signal set in the time domain.
[0262] Optionally, the target reference signal set includes at least one of the following:
[0263] at least one reference signal;
[0264] a third reference signal set having a time domain interval less than or equal to the first interval with the reference information;
[0265] a third reference signal set having the smallest time interval with the reference information;
[0266] a third reference signal set in the same time unit as the reference information;
[0267] a third reference signal set having a minimum interval with the reference information and being less than or equal to the first interval in the time domain;
[0268] a third reference signal set having a time domain interval greater than or equal to the second interval with respect to at least one of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource;
[0269] a third reference signal set having a time domain smaller than a third interval from at least one of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource;
[0270] a third reference signal set having a minimum interval greater than or equal to the second interval with at least one of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource in the time domain;
[0271] a third reference signal set having a smallest interval with at least one of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource, which is smaller than the third interval in the time domain;
[0272] selecting or determining based on a third reference signal set;
[0273] a third reference signal set selected or determined based on a time unit of the prediction information;
[0274] a third reference signal set selected or determined based on the time unit of the second reference signal set;
[0275] a third reference signal set selected or determined based on the time unit of the first reference signal set;
[0276] a third reference signal set selected or determined based on a time slot of the first CSI report;
[0277] A third reference signal set is selected or determined based on the first CSI reference resource.
[0278] Optionally, the terminal device determines the first reference signal set and / or the second reference signal set based on the first CSI reporting configuration.
[0279] Optionally, a first CSI reference resource and / or a time slot for the first CSI report is determined based on the first CSI report configuration.
[0280] Optionally, the prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set. Optionally, the first reference signal set is used for measurement.
[0281] Optionally, a first number and / or a second number of predicted reference signal index values are determined based on a second reference signal set. Optionally, the first number and / or the second number of predicted reference signal index values are reference signal indices of the first number and / or the second number of reference signals with the best signal quality. Optionally, the second reference signal set is used for prediction.
[0282] Optionally, a third reference signal set is determined based on the second CSI reporting configuration.
[0283] Optionally, a second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI report configuration.
[0284] Optionally, the first CSI reporting configuration is determined based on the second CSI reporting configuration.
[0285] Optionally, a reporting configuration index value of the first CSI reporting configuration is determined based on the second CSI reporting configuration.
[0286] Optionally, the third reference signal set is periodic. Optionally, the third reference signal set corresponds to at least one time unit.
[0287] Optionally, the third reference signal set is the same as the second reference signal set.
[0288] Optionally, the third reference signal set is different from the second reference signal set.
[0289] Optionally, the third reference signal set is a subset of the second reference signal set.
[0290] Optionally, the prediction information includes: the first number of predicted beams or reference signal index values, and / or the signal qualities corresponding to the first number of predicted beams or reference signal index values.
[0291] Optionally, the prediction information includes: the first second number of predicted beams or reference signal index values, and / or, signal qualities corresponding to the first second number of predicted beams or reference signal index values.
[0292] Optionally, the prediction information includes: a second number of predicted beams or reference signal index values, and / or signal qualities corresponding to the second number of predicted beams or reference signal index values.
[0293] Optionally, the measurement information includes: the first number of measured beams or reference signal index values, and / or the signal qualities corresponding to the first number of measured beams or reference signal index values.
[0294] Optionally, the measurement information includes: the first third number of measured beams or reference signal index values, and / or the signal quality corresponding to the first third number of measured beams or reference signal index values.
[0295] Optionally, the measurement information includes: a third number of measured beams or reference signal index values, and / or signal qualities corresponding to the third number of measured beams or reference signal index values.
[0296] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0297] Optionally, the monitoring window is associated with a fourth number of transmission opportunities.
[0298] Optionally, the at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set.
[0299] Optionally, the target reference signal set is determined based on a third reference signal set.
[0300] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0301] Optionally, a set of prediction information includes a sixth number of prediction information.
[0302] Optionally, a set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set.
[0303] Optionally, the number of monitoring window time units is the number of transmission opportunities and / or time slots.
[0304] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0305] Optionally, in the embodiment of the present application, the first number is 1, and the second number, the third number, the fourth number, and the fifth number are integers greater than or equal to 1.
[0306] Optionally, the prediction information corresponds to a time unit.
[0307] Optionally, the terminal device determines the first reference signal set and / or the second reference signal set based on the first CSI report configuration (configured by CSI-ReportConfig), including at least one of the following:
[0308] Determine a first reference signal set based on a first CSI resource configuration index value (configured by CSI-ResourceConfigId) in the first CSI reporting configuration;
[0309] Determine a second reference signal set based on a second CSI resource configuration index value (configured by CSI-ResourceConfigId) in the first CSI reporting configuration;
[0310] The report quantity parameter (reportQuantity) of the first CSI report configuration is set to prediction information.
[0311] Optionally, the terminal device determines a third reference signal set based on the second CSI report configuration (configured by CSI-ReportConfig), including at least one of the following:
[0312] determining a reporting configuration index value of the first CSI reporting configuration based on the second CSI reporting configuration;
[0313] Determine a third reference signal set based on a CSI resource configuration index value (CSI-ResourceConfigId) in the second CSI reporting configuration;
[0314] The report quantity parameter (reportQuantity) of the second CSI reporting configuration is set to monitoring information.
[0315] Optionally, the measurement information is determined based on a target reference signal set, and includes at least one of the following:
[0316] The measurement information corresponds to a time unit;
[0317] The measurement information includes the first third number of measured beams or reference signal index values, and / or the signal qualities corresponding to the first third number of measured beams or reference signal index values;
[0318] The measurement information includes a third number of measured beams or reference signal index values, and / or signal qualities corresponding to the third number of measured beams or reference signal index values.
[0319] Through the technical solution of this embodiment, specifically by clarifying the method for determining the prediction information and / or the measurement information of the target reference signal set, the terminal device can determine the beam prediction accuracy based on at least one prediction information and / or the measurement information of at least one target reference signal set, and clarify the mechanism for determining the beam prediction accuracy, so as to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0320] Third embodiment
[0321] Based on any of the foregoing embodiments of the present application, this embodiment further discloses a method for determining beam prediction accuracy.
[0322] Optionally, the performance indicator of the model or function can be reflected by beam prediction accuracy.
[0323] Optionally, the beam prediction accuracy includes at least one of the following:
[0324] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0325] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0326] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0327] The ratio of the number of correct predictions to the number of actual monitoring times;
[0328] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0329] A value determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0330] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0331] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0332] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0333] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0334] A value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0335] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0336] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0337] Optionally, the beam prediction accuracy includes at least one of the following:
[0338] a percentage of the first number of measured beam or reference signal index values to one of the second number of predicted beam or reference signal index values;
[0339] The first number of measured beam or reference signal index values is a percentage of one of the first third number of measured beam or reference signal index values.
[0340] Optionally, the number of correct predictions includes at least one of the following:
[0341] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0342] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0343] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0344] Optionally, the number of correctly predicted time units includes at least one of the following:
[0345] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0346] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0347] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0348] Optionally, the actual number of monitoring times is the number of at least one piece of prediction information.
[0349] Optionally, the actual number of monitoring times is the number of groups of at least one prediction information.
[0350] Optionally, the number of time units effectively monitored is the number of time units corresponding to at least one prediction information.
[0351] Optionally, the number of time units for effective monitoring is the number of time units corresponding to prediction information corresponding to at least one target reference signal set.
[0352] Optionally, in the embodiment of the present application, the first number is 1, and the second number, the third number, the fourth number, and the fifth number are integers greater than or equal to 1.
[0353] Optionally, the beam prediction accuracy includes at least one of the following: the percentage of the beam / reference signal index values of the first number of measurements to the beam / reference signal index values of the first number of predictions, the ratio of the number of correct predictions to the number of actual monitoring times, the percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the value determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times, and the accuracy index value determined based on the ratio of the number of correct predictions to the number of actual monitoring times.
[0354] Optionally, the beam prediction accuracy is a ratio of the number of correct predictions to the number of actual monitoring times, including at least one of the following:
[0355] (1) The number of correct predictions is the number of times the first number of measured beam / reference signal index values are the same as the first number of predicted beam / reference signal index values;
[0356] (2) The actual number of monitoring times is the number of predicted information;
[0357] (3) The actual monitoring number is the number of time slots of the first CSI report;
[0358] (4) The actual number of monitoring times is the number of the first CSI reference resources;
[0359] (5) If the first number of measured beam / reference signal index values are the first number of predicted beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window.
[0360] (6) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of measured beam / reference signal index values are the first number of predicted beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one set of prediction information and / or measurement information of a corresponding target reference signal set is included in the monitoring window. Optionally, the set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, the set of prediction information includes a sixth number of prediction information.
[0361] (7) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of predicted beam / reference signal index values of each prediction information in the set of prediction information are the first number of measured beam / reference signal index values, the number of correct predictions is increased by 1. Optionally, at least one set of prediction information and / or measurement information of the corresponding target reference signal set is included in the monitoring window. Optionally, the set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, the set of prediction information includes a sixth number of prediction information.
[0362] (8) The actual monitoring number is the number of prediction information. Optionally, the actual monitoring number is the number of prediction information in the monitoring window;
[0363] (9) The actual number of monitoring times is the number of groups of prediction information. Optionally, the actual number of monitoring times is the number of groups of prediction information in the monitoring window;
[0364] (10) Beam prediction accuracy is a percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0365] (11) The beam prediction accuracy is a value determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the value is a quantized value.
[0366] (12) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0367] (13) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0368] Optionally, the beam prediction accuracy is a ratio of the number of correctly predicted time units to the number of effectively monitored time units, including at least one of the following:
[0369] (1) The number of correctly predicted time units is the number of time units of prediction information for which the first number of measured beam / reference signal index values are the first number of predicted beam / reference signal index values;
[0370] (2) The number of time units for effective monitoring is determined based on the target reference signal set;
[0371] (3) If the first number of measured beam / reference signal index values are the first number of predicted beam / reference signal index values, the number of correctly predicted time units is incremented by 1, and optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window;
[0372] (4) The number of time units effectively monitored is the number of time units corresponding to the prediction information. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information in the monitoring window;
[0373] (5) If a prediction information corresponds to a target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set in the monitoring window.
[0374] (6) If multiple prediction information corresponds to the target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set in the monitoring window. Optionally, if a seventh number of prediction information corresponds to the target reference signal set, the number of time units effectively monitored is added to the seventh number. Optionally, the seventh number is an integer greater than or equal to 1.
[0375] (7) Beam prediction accuracy is a percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0376] (8) The beam prediction accuracy is a value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the value is a quantized value.
[0377] (9) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0378] (10) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted times to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0379] Optionally, the beam prediction accuracy includes at least one of the following: the percentage of the beam / reference signal index values of the first number of measurements that are one of the beam / reference signal index values of the second number of predictions, the percentage of the beam or reference signal index values of the first number of measurements that are included in the beam or reference signal index values of the second number of predictions, the ratio of the number of correct predictions to the number of actual monitoring times, the percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the value determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times, and the accuracy index value determined based on the ratio of the number of correct predictions to the number of actual monitoring times.
[0380] Optionally, the beam prediction accuracy is a ratio of the number of correct predictions to the number of actual monitoring times, including at least one of the following:
[0381] (1) The number of correct predictions is the number of times the first number of measured beam / reference signal index values are one of the second number of predicted beam / reference signal index values;
[0382] (2) The number of correct predictions is the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0383] (3) The actual number of monitoring times is the number of predicted information;
[0384] (4) The actual number of monitoring times is the number of time slots of the first CSI report;
[0385] (5) The actual number of monitoring times is the number of the first CSI reference resources;
[0386] (6) If the first number of measured beam / reference signal index values is one of the second number of predicted beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, if the first number of measured beam or reference signal index values is included in the second number of predicted beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window.
[0387] (7) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of measured beam / reference signal index values is one of the second number of predicted beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, if the first number of measured beam or reference signal index values is included in the second number of predicted beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one set of prediction information and / or measurement information of a corresponding target reference signal set is included in the monitoring window. Optionally, a set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes a sixth number of prediction information.
[0388] (8) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of measured beam / reference signal index values corresponding to each prediction information in the set of prediction information is one of the first second number of predicted beam / reference signal index values, the number of correct predictions is increased by 1. Optionally, if the first number of measured beam or reference signal index values corresponding to each prediction information in the set of prediction information is included in the first second number of predicted beam or reference signal index values, the number of correct predictions is increased by 1. Optionally, at least one set of prediction information and / or measurement information of the corresponding target reference signal set is included in the monitoring window. Optionally, a set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes a sixth number of prediction information.
[0389] (9) The actual monitoring number is the number of prediction information. Optionally, the actual monitoring number is the number of prediction information in the monitoring window;
[0390] (10) The actual number of monitoring times is the number of groups of prediction information. Optionally, the actual number of monitoring times is the number of groups of prediction information in the monitoring window.
[0391] (11) Beam prediction accuracy is a percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0392] (12) The beam prediction accuracy is a value determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the value is a quantized value.
[0393] (13) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0394] (14) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0395] Optionally, the beam prediction accuracy is a ratio of the number of correctly predicted time units to the number of effectively monitored time units, including at least one of the following:
[0396] (1) The number of correctly predicted time units is the number of time units of prediction information for which the beam / reference signal index value of the first number of measurements is one of the beam / reference signal index values of the second number of predictions;
[0397] (2) The number of correctly predicted time units is the number of time units for which the first number of measured beam or reference signal index values are included in the prediction information of the second number of predicted beam or reference signal index values;
[0398] (3) The number of time units for effective monitoring is determined based on the target reference signal set;
[0399] (4) If the first number of measured beam / reference signal index values is one of the second number of predicted beam / reference signal index values, the number of correctly predicted time units is incremented by 1. Optionally, if the first number of measured beam or reference signal index values is included in the second number of predicted beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window.
[0400] (5) The number of time units effectively monitored is the number of time units corresponding to the prediction information. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information in the monitoring window;
[0401] (6) If a prediction information corresponds to a target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set in the monitoring window.
[0402] (7) If multiple prediction information corresponds to the target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set in the monitoring window. Optionally, if a seventh number of prediction information corresponds to the target reference signal set, the number of time units effectively monitored is increased by the seventh number. Optionally, the seventh number is an integer greater than or equal to 1.
[0403] (8) Beam prediction accuracy is a percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0404] (9) The beam prediction accuracy is a value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the value is a quantized value.
[0405] (10) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0406] (11) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted times to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0407] Optionally, the beam prediction accuracy includes at least one of the following: the percentage of the first number of predicted beam / reference signal index values that is one of the first third number of measured beam / reference signal index values, the percentage of the first number of predicted beam or reference signal index values included in the first third number of measured beam or reference signal index values, the ratio of the number of correct predictions to the number of actual monitoring times, the percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the value determined based on the ratio of the number of correct predictions to the number of actual monitoring times, the accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times, and the accuracy index value determined based on the ratio of the number of correct predictions to the number of actual monitoring times.
[0408] Optionally, the beam prediction accuracy is a ratio of the number of correct predictions to the number of actual monitoring times, including at least one of the following:
[0409] (1) The number of correct predictions is the number of times the first number of predicted beam / reference signal index values are one of the third number of measured beam / reference signal index values;
[0410] (2) The number of correct predictions is the number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values;
[0411] (3) The actual number of monitoring times is the number of predicted information;
[0412] (4) The actual number of monitoring times is the number of time slots of the first CSI report;
[0413] (5) The actual number of monitoring times is the number of the first CSI reference resources;
[0414] (6) If the first number of predicted beam / reference signal index values is one of the third number of measured beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, if the first number of predicted beam or reference signal index values is included in the third number of measured beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window.
[0415] (7) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of predicted beam / reference signal index values is one of the first third number of measured beam / reference signal index values, the number of correct predictions is incremented by 1. Optionally, if the first number of predicted beam or reference signal index values is included in the first third number of measured beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one set of prediction information and / or measurement information of a corresponding target reference signal set is included in the monitoring window. Optionally, a set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes a sixth number of prediction information.
[0416] (8) For a set of prediction information and / or measurement information of a corresponding target reference signal set, if the first number of predicted beam / reference signal index values of each prediction information in the set of prediction information is one of the first third number of measured beam / reference signal index values, the number of correct predictions is increased by 1. Optionally, if the first number of predicted beam or reference signal index values corresponding to each prediction information in the set of prediction information is included in the first third number of measured beam or reference signal index values, the number of correct predictions is increased by 1. Optionally, at least one set of prediction information and / or measurement information of the corresponding target reference signal set is included in the monitoring window. Optionally, a set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes a sixth number of prediction information.
[0417] (9) The actual monitoring number is the number of prediction information. Optionally, the actual monitoring number is the number of prediction information in the monitoring window;
[0418] (10) The actual number of monitoring times is the number of groups of prediction information. Optionally, the actual number of monitoring times is the number of groups of prediction information in the monitoring window.
[0419] (11) Beam prediction accuracy is a percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0420] (12) The beam prediction accuracy is a value determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the value is a quantized value.
[0421] (13) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0422] (14) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correct predictions to the actual number of monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0423] Optionally, the beam prediction accuracy is a ratio of the number of correctly predicted time units to the number of effectively monitored time units, including at least one of the following:
[0424] (1) The number of correctly predicted time units is the number of time units of prediction information for which the first number of predicted beam / reference signal index values is one of the third number of measured beam / reference signal index values;
[0425] (2) The number of correctly predicted time units is the number of time units for which the first number of predicted beam or reference signal index values are included in the prediction information of the third number of measured beam or reference signal index values;
[0426] (3) The number of time units for effective monitoring is determined based on the target reference signal set;
[0427] (4) If the first number of predicted beam / reference signal index values is one of the third number of measured beam / reference signal index values, the number of correctly predicted time units is incremented by 1. Optionally, if the first number of predicted beam or reference signal index values is included in the third number of measured beam or reference signal index values, the number of correct predictions is incremented by 1. Optionally, at least one prediction information and / or corresponding target reference signal set measurement information is included in the monitoring window.
[0428] (5) The number of time units effectively monitored is the number of time units corresponding to the prediction information. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information in the monitoring window;
[0429] (6) If a prediction information corresponds to a target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the target reference signal set in the monitoring window.
[0430] (7) If multiple prediction information corresponds to a target reference signal set, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set. Optionally, the number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to the target reference signal set in the monitoring window. Optionally, if a seventh number of prediction information corresponds to the target reference signal set, the number of time units effectively monitored is increased by the seventh number. Optionally, the seventh number is an integer greater than or equal to 1.
[0431] (8) Beam prediction accuracy is a percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0432] (9) The beam prediction accuracy is a value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the value is a quantized value.
[0433] (10) The beam prediction accuracy is an accuracy range determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0434] (11) The beam prediction accuracy is an accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units. Optionally, the accuracy index value corresponds to an accuracy range. Optionally, an accuracy range is determined from an eighth number of accuracy ranges based on the ratio of the number of correctly predicted times to the number of actual monitoring times. Optionally, the eighth number of accuracy ranges is based on RRC configuration or preset. Optionally, the eighth number is an integer greater than or equal to 1.
[0435] Through the technical solution of this embodiment, multiple methods for determining beam prediction accuracy are specifically provided, which improves the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0436] Fourth embodiment
[0437] Based on any of the foregoing embodiments of the present application, this embodiment further discloses a method for determining a monitoring window.
[0438] Optionally, the terminal device determines the beam prediction accuracy based on the first information.
[0439] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0440] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0441] Optionally, the monitoring window is a time unit no later than a fourth number of third reference signal sets of the second CSI reference resource.
[0442] Optionally, the monitoring window is a time unit that is no later than a fourth number of target reference signal sets of the second CSI reference resource.
[0443] Optionally, the monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0444] Optionally, the monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set.
[0445] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0446] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of the second CSI reference resources, the third reference signal set, and the corresponding target reference signal set.
[0447] Optionally, the monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0448] Optionally, the at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set.
[0449] Optionally, the target reference signal set is determined based on a third reference signal set.
[0450] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0451] Optionally, a set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set.
[0452] Optionally, a set of prediction information includes a sixth number of prediction information.
[0453] Optionally, the number of monitoring window time units is the number of time units.
[0454] Optionally, the number of monitoring window time units is the number of transmission opportunities and / or time slots.
[0455] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0456] Optionally, the monitoring window is a time unit of reference signals of a fourth number of the third reference signal set of the second CSI reference resource that is no later than the time unit of the reference signals of the fourth number of the third reference signal set.
[0457] Optionally, the monitoring window is a time unit that is no later than a fourth number of target reference signal sets of the second CSI reference resource.
[0458] Optionally, the monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0459] Optionally, the monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the reference signals of the third reference signal set and the corresponding target reference signal set.
[0460] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0461] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of second CSI reference resources, including reference signals of the third reference signal set and the corresponding target reference signal set.
[0462] Optionally, the fourth number is an integer greater than or equal to 1.
[0463] Optionally, a first CSI reference resource and / or a time slot for the first CSI report is determined based on the first CSI report configuration.
[0464] Optionally, a second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI report configuration.
[0465] Optionally, the target reference signal set is determined based on a third reference signal set.
[0466] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the reference signal of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0467] Optionally, a sixth number of prediction information is determined based on a fifth number of measurement information of reference signals of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes the sixth number of prediction information.
[0468] Optionally, the terminal device determines the monitoring window based on at least one of the period, offset value, number of time units, etc. configured by RRC.
[0469] Optionally, the number of monitoring window time units is the number of time slots.
[0470] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0471] Optionally, if there is a fourth number of prediction information in the monitoring window, the performance indicator is calculated based on the fourth number of prediction information and the measurement information of the corresponding target reference signal set. Optionally, the fourth number is an integer greater than or equal to 1.
[0472] Optionally, if there is a fourth number of measurement information and corresponding prediction information of the first reference signal set in the monitoring window, performance indicators are calculated based on the fourth number of prediction information and the corresponding measurement information of the target reference signal set; if the first reference signal set corresponding to a prediction information in the monitoring window is not in the monitoring window, this prediction information is discarded, and / or performance indicators are not calculated based on this prediction information. Optionally, the fourth number is an integer greater than or equal to 1.
[0473] Optionally, if there is a fourth number group of measurement information and corresponding prediction information of the first reference signal set in the monitoring window, performance indicators are calculated based on the fourth number group of prediction information and the measurement information of the corresponding target reference signal set; if the first reference signal set corresponding to a group of prediction information in the monitoring window is not in the monitoring window, this group of prediction information is discarded, and / or performance indicators are not calculated based on this group of prediction information. Optionally, the fourth number is an integer greater than or equal to 1.
[0474] Optionally, a sixth number of prediction information is determined based on a fifth number of measurement information of reference signals of the first reference signal set and / or the second reference signal set. Optionally, a set of prediction information includes the sixth number of prediction information.
[0475] Through the technical solution of this embodiment, by specifically providing multiple methods for determining the monitoring window, the terminal device can determine the beam prediction accuracy based on the first information in the monitoring window, and the mechanism for determining the beam prediction accuracy is clarified to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0476] Fifth embodiment
[0477] 6 , which is a flow chart of a processing method according to a fifth embodiment, the method of this embodiment can be applied to a network device (such as a base station), and includes the following steps:
[0478] S2: Receive uplink information including beam prediction accuracy, where the beam prediction accuracy is determined by the terminal device based on the first information.
[0479] Optionally, the terminal device determines the beam prediction accuracy based on the first information.
[0480] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0481] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0482] Optionally, the prediction information includes at least one of the following:
[0483] The first number of predicted beam or reference signal index values;
[0484] signal qualities corresponding to the first number of predicted beam or reference signal index values;
[0485] The first second number of predicted beam or reference signal index values;
[0486] The signal quality corresponding to the first second number of predicted beam or reference signal index values.
[0487] Optionally, the measurement information includes at least one of the following:
[0488] The beam or reference signal index values of the first number of measurements before;
[0489] signal qualities corresponding to the first number of measured beam or reference signal index values;
[0490] The beam or reference signal index values of the first third number of measurements;
[0491] The signal qualities corresponding to the first third number of measured beam or reference signal index values.
[0492] Optionally, the beam prediction accuracy includes at least one of the following:
[0493] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0494] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0495] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0496] The ratio of the number of correct predictions to the number of actual monitoring times;
[0497] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0498] A value determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0499] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0500] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0501] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0502] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0503] A value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0504] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0505] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0506] Optionally, the number of monitoring window time units is the number of transmission opportunities and / or time slots.
[0507] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0508] Optionally, the number of correct predictions includes at least one of the following:
[0509] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0510] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0511] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0512] Optionally, the number of correctly predicted time units includes at least one of the following:
[0513] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0514] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0515] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0516] Optionally, the actual number of monitoring times is the number of at least one piece of prediction information.
[0517] Optionally, the actual number of monitoring times is the number of groups of at least one prediction information.
[0518] Optionally, the number of time units effectively monitored is the number of time units corresponding to at least one prediction information.
[0519] Optionally, the number of time units for effective monitoring is the number of time units corresponding to prediction information corresponding to at least one target reference signal set.
[0520] Optionally, the terminal device determines the first reference signal set and / or the second reference signal set based on the first CSI reporting configuration.
[0521] Optionally, the terminal device determines the first CSI reference resource and / or the time slot of the first CSI report based on the first CSI report configuration.
[0522] Optionally, the terminal device determines a third reference signal set based on the second CSI reporting configuration.
[0523] Optionally, the terminal device determines the second CSI reference resource and / or the time slot of the second CSI report based on the second CSI report configuration.
[0524] Optionally, the monitoring window is a time unit no later than a fourth number of third reference signal sets of the second CSI reference resource.
[0525] Optionally, the monitoring window is a time unit that is no later than a fourth number of target reference signal sets of the second CSI reference resource.
[0526] Optionally, the monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0527] Optionally, the monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set.
[0528] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0529] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of the second CSI reference resources, the third reference signal set, and the corresponding target reference signal set.
[0530] Optionally, the monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0531] Optionally, the at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set.
[0532] Optionally, the target reference signal set is determined based on a third reference signal set.
[0533] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0534] Optionally, a set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set.
[0535] Optionally, a set of prediction information includes a sixth number of prediction information.
[0536] Optionally, the terminal device reports the beam prediction accuracy to the network device.
[0537] Optionally, the beam prediction accuracy is sent to the network device via uplink information.
[0538] Optionally, the network device receives uplink information including beam prediction accuracy.
[0539] Optionally, the network device manages the model or function based on beam prediction accuracy.
[0540] Through the technical solution of this embodiment, the uplink information containing the beam prediction accuracy is received by the network device, and the beam prediction accuracy is determined by the terminal device based on the first information, so that the network device can manage the model or function, and the determination mechanism of the beam prediction accuracy is clarified to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0541] Sixth embodiment
[0542] 7 , which is a schematic diagram of an interaction sequence according to a sixth embodiment. The method of this embodiment can be applied to terminal devices (such as mobile phones) and network devices (such as base stations).
[0543] Optionally, the terminal device determines the beam prediction accuracy based on the first information.
[0544] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0545] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0546] Optionally, the prediction information includes at least one of the following:
[0547] The first number of predicted beam or reference signal index values;
[0548] signal qualities corresponding to the first number of predicted beam or reference signal index values;
[0549] The first second number of predicted beam or reference signal index values;
[0550] The signal quality corresponding to the first second number of predicted beam or reference signal index values.
[0551] Optionally, the measurement information includes at least one of the following:
[0552] The beam or reference signal index values of the first number of measurements before;
[0553] signal qualities corresponding to the first number of measured beam or reference signal index values;
[0554] The beam or reference signal index values of the first third number of measurements;
[0555] The signal qualities corresponding to the first third number of measured beam or reference signal index values.
[0556] Optionally, the beam prediction accuracy includes at least one of the following:
[0557] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0558] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0559] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0560] The ratio of the number of correct predictions to the number of actual monitoring times;
[0561] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0562] A value determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0563] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0564] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0565] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0566] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0567] A value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0568] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0569] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0570] Optionally, the number of monitoring window time units is the number of transmission opportunities and / or time slots.
[0571] Optionally, the number of time units of the monitoring window is the number of time units of the reference signal.
[0572] Optionally, the number of correct predictions includes at least one of the following:
[0573] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0574] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0575] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0576] Optionally, the number of correctly predicted time units includes at least one of the following:
[0577] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0578] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0579] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0580] Optionally, the actual number of monitoring times is the number of at least one piece of prediction information.
[0581] Optionally, the actual number of monitoring times is the number of groups of at least one prediction information.
[0582] Optionally, the number of time units effectively monitored is the number of time units corresponding to at least one prediction information.
[0583] Optionally, the number of time units for effective monitoring is the number of time units corresponding to prediction information corresponding to at least one target reference signal set.
[0584] Optionally, the terminal device determines the first reference signal set and / or the second reference signal set based on the first CSI reporting configuration.
[0585] Optionally, the terminal device determines the first CSI reference resource and / or the time slot of the first CSI report based on the first CSI report configuration.
[0586] Optionally, the terminal device determines a third reference signal set based on the second CSI reporting configuration.
[0587] Optionally, the terminal device determines the second CSI reference resource and / or the time slot of the second CSI report based on the second CSI report configuration.
[0588] Optionally, the monitoring window is a time unit no later than a fourth number of third reference signal sets of the second CSI reference resource.
[0589] Optionally, the monitoring window is a time unit that is no later than a fourth number of target reference signal sets of the second CSI reference resource.
[0590] Optionally, the monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0591] Optionally, the monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set.
[0592] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set.
[0593] Optionally, the monitoring window is a time unit that is no later than the fourth number of groups of the second CSI reference resources, the third reference signal set, and the corresponding target reference signal set.
[0594] Optionally, the monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0595] Optionally, the at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set.
[0596] Optionally, the target reference signal set is determined based on a third reference signal set.
[0597] Optionally, a set of prediction information is determined based on at least one of the latest transmission timing of the first reference signal set, the time slot of the first CSI report, and the first CSI reference resource.
[0598] Optionally, a set of prediction information includes a sixth number of prediction information.
[0599] Optionally, a set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set.
[0600] Optionally, the terminal device reports the beam prediction accuracy to the network device.
[0601] Optionally, the beam prediction accuracy is sent to the network device via uplink information.
[0602] Optionally, the network device receives uplink information including beam prediction accuracy.
[0603] Optionally, the network device manages the model or function based on beam prediction accuracy.
[0604] Through the technical solution of this embodiment, the terminal device determines the beam prediction accuracy based on the first information and reports it, and / or the network device receives uplink information containing the beam prediction accuracy, so that the terminal device and / or the network device can manage the model or function, and the mechanism for determining the beam prediction accuracy is clarified to improve the prediction mechanism and / or monitoring mechanism of artificial intelligence or machine learning, thereby supporting the improvement of network performance.
[0605] Seventh embodiment
[0606] 8 , which is a schematic diagram of a structure of a processing device according to an embodiment of the present application, which may be mounted on or be the terminal device in the above-described method embodiment. The processing device shown in FIG8 may be used to perform some or all of the functions of the method embodiment described in the above-described embodiment. As shown in FIG8 , the processing device 1100 includes:
[0607] The processing module 1101 is configured to determine beam prediction accuracy based on the first information.
[0608] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0609] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0610] Optionally, the device further comprises at least one of the following:
[0611] The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first number of predicted beams or reference signal index values;
[0612] The prediction information includes: a first second number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first second number of predicted beams or reference signal index values;
[0613] The measurement information includes: a first number of measured beam or reference signal index values, and / or signal qualities corresponding to the first number of measured beam or reference signal index values;
[0614] The measurement information includes: the first third number of measured beams or reference signal index values, and / or the signal quality corresponding to the first third number of measured beams or reference signal index values.
[0615] Optionally, the beam prediction accuracy includes at least one of the following:
[0616] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0617] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0618] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0619] The ratio of the number of correct predictions to the number of actual monitoring times;
[0620] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0621] A value determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0622] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0623] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0624] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0625] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0626] A value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0627] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0628] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0629] Optionally, the number of correct predictions includes at least one of the following:
[0630] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0631] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0632] The number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values.
[0633] Optionally, the number of correctly predicted time units includes at least one of the following:
[0634] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0635] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0636] The first number of predicted beam or reference signal index values is the number of time units included in the third number of measured beam or reference signal index values.
[0637] Optionally, the device further comprises at least one of the following:
[0638] The actual number of monitoring times is the number of at least one prediction information;
[0639] The actual number of monitoring times is the number of groups with at least one prediction information;
[0640] The number of time units effectively monitored is the number of time units corresponding to at least one prediction information;
[0641] The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
[0642] Optionally, the device further comprises at least one of the following:
[0643] Determine a first reference signal set and / or a second reference signal set based on the first CSI reporting configuration;
[0644] determining a first CSI reference resource and / or a time slot for a first CSI report based on the first CSI reporting configuration;
[0645] determining a third reference signal set based on the second CSI reporting configuration;
[0646] A second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI reporting configuration.
[0647] Optionally, the device further comprises at least one of the following:
[0648] The monitoring window is a time unit no later than a fourth number of the third reference signal set of the second CSI reference resource;
[0649] The monitoring window is a time unit no later than a fourth number of target reference signal sets of the second CSI reference resource;
[0650] The monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set;
[0651] The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set;
[0652] The monitoring window is a time unit that is no later than the fourth number of sets of prediction information of the second CSI reference resource and the corresponding target reference signal set:
[0653] The monitoring window is a time unit that is no later than the fourth number of the second CSI reference resource, the third reference signal set, and the corresponding target reference signal set:
[0654] The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0655] Optionally, the device further comprises at least one of the following:
[0656] The at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set;
[0657] The target reference signal set is determined based on the third reference signal set;
[0658] A set of prediction information is determined based on at least one of a latest transmission opportunity of the first reference signal set, a time slot of the first CSI report, and a first CSI reference resource;
[0659] A set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set;
[0660] A set of prediction information includes a sixth number of prediction information;
[0661] The number of monitoring window time units is the number of transmission opportunities and / or time slots;
[0662] The number of monitoring window time units is the number of reference signal time units.
[0663] The processing device provided in the embodiment of the present application can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.
[0664] Eighth embodiment
[0665] 9 , which is a second structural diagram of a processing device provided in an embodiment of the present application. The device may be mounted on or be the network device in the above-described method embodiment. The processing device shown in FIG9 may be used to perform some or all of the functions in the method embodiment described in the above-described embodiment. As shown in FIG9 , the processing device 1200 includes:
[0666] The receiving module 1201 is used to receive uplink information including beam prediction accuracy, where the beam prediction accuracy is determined by the terminal device based on the first information.
[0667] Optionally, the first information includes at least one prediction information and / or measurement information of at least one target reference signal set.
[0668] Optionally, at least one prediction information and / or measurement information of at least one target reference signal set is included in the monitoring window.
[0669] Optionally, the device further comprises at least one of the following:
[0670] The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first number of predicted beams or reference signal index values;
[0671] The prediction information includes: a first second number of predicted beams or reference signal index values, and / or signal qualities corresponding to the first second number of predicted beams or reference signal index values;
[0672] The measurement information includes: a first number of measured beam or reference signal index values, and / or signal qualities corresponding to the first number of measured beam or reference signal index values;
[0673] The measurement information includes: the first third number of measured beams or reference signal index values, and / or the signal quality corresponding to the first third number of measured beams or reference signal index values.
[0674] Optionally, the beam prediction accuracy includes at least one of the following:
[0675] The first number of measured beam or reference signal index values is a percentage of the first number of predicted beam or reference signal index values;
[0676] a percentage of the first number of measured beam or reference signal index values included in the second number of predicted beam or reference signal index values;
[0677] a percentage of the first number of predicted beam or reference signal index values contained in the third number of measured beam or reference signal index values;
[0678] The ratio of the number of correct predictions to the number of actual monitoring times;
[0679] A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0680] A value determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0681] The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times;
[0682] The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times;
[0683] The ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0684] A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0685] A value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0686] The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units;
[0687] An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
[0688] Optionally, the number of correct predictions includes at least one of the following:
[0689] the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values;
[0690] the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0691] the number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values;
[0692] The number of correctly predicted time units, including at least one of the following:
[0693] The number of time units for which the first number of measured beam or reference signal index values is the first number of predicted beam or reference signal index values;
[0694] the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values;
[0695] the number of time units in which the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values;
[0696] The actual number of monitoring times is the number of at least one prediction information;
[0697] The actual number of monitoring times is the number of groups with at least one prediction information;
[0698] The number of time units effectively monitored is the number of time units corresponding to at least one prediction information;
[0699] The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
[0700] Optionally, the device further comprises at least one of the following:
[0701] Determine a first reference signal set and / or a second reference signal set based on the first CSI reporting configuration;
[0702] determining a first CSI reference resource and / or a time slot for a first CSI report based on the first CSI reporting configuration;
[0703] determining a third reference signal set based on the second CSI reporting configuration;
[0704] A second CSI reference resource and / or a time slot for the second CSI report is determined based on the second CSI reporting configuration.
[0705] Optionally, the device further comprises at least one of the following:
[0706] The monitoring window is a time unit no later than a fourth number of the third reference signal set of the second CSI reference resource;
[0707] The monitoring window is a time unit no later than a fourth number of target reference signal sets of the second CSI reference resource;
[0708] The monitoring window is a time unit that is no later than the fourth number of pairs of prediction information of the second CSI reference resource and the corresponding target reference signal set;
[0709] The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set;
[0710] The monitoring window is a time unit that is no later than the fourth number of sets of prediction information of the second CSI reference resource and the corresponding target reference signal set:
[0711] The monitoring window is a time unit that is no later than the fourth number of the second CSI reference resource, the third reference signal set, and the corresponding target reference signal set:
[0712] The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by radio resource control.
[0713] Optionally, the device further comprises at least one of the following:
[0714] The at least one prediction information is determined based on measurement information of the first reference signal set and / or the second reference signal set;
[0715] The target reference signal set is determined based on the third reference signal set;
[0716] A set of prediction information is determined based on at least one of a latest transmission opportunity of the first reference signal set, a time slot of the first CSI report, and a first CSI reference resource;
[0717] A set of prediction information is determined based on a fifth amount of measurement information of the first reference signal set and / or the second reference signal set;
[0718] A set of prediction information includes a sixth number of prediction information;
[0719] The number of monitoring window time units is the number of transmission opportunities and / or time slots;
[0720] The number of monitoring window time units is the number of reference signal time units.
[0721] The processing device provided in the embodiment of the present application can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar and will not be repeated here.
[0722] Refer to Figure 10, which is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. As shown in Figure 10, the communication device 160 described in this embodiment can be the terminal device (or component that can be used for a terminal device) or network device (or component that can be used for a network device) mentioned in the aforementioned method embodiment. The communication device 160 can be used to implement the methods corresponding to the terminal device or network device described in the aforementioned method embodiment. For details, please refer to the description of the aforementioned method embodiment.
[0723] The communication device 160 may include one or more processors 161, also referred to as processing units, which may perform certain control or processing functions. Processor 161 may be a general-purpose processor or a dedicated processor. For example, it may be a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, while the central processing unit may be used to control the communication device, execute software programs, and process software program data.
[0724] Optionally, the processor 161 may also store instructions 163 or data (eg, intermediate data). Optionally, the instructions 163 may be executed by the processor 161 to enable the communication device 160 to execute the method corresponding to the terminal device or network device described in the above method embodiment.
[0725] Optionally, the communication device 160 may include a circuit that can implement the functions of sending, receiving, or communicating in the aforementioned method embodiments.
[0726] Optionally, the communication device 160 may include one or more memories 162 , on which instructions 164 may be stored. The instructions may be executed on the processor 161 , so that the communication device 160 performs the method described in the above method embodiment.
[0727] Optionally, data may also be stored in the memory 162. The processor 161 and the memory 162 may be provided separately or integrated together.
[0728] Optionally, the communication device 160 may further include a transceiver 165 and / or an antenna 166. The processor 161 may be referred to as a processing unit, and controls the communication device 160 (terminal device, core network device, or wireless access network device). The transceiver 165 may be referred to as a transceiver unit, transceiver, transceiver circuit, or transceiver, and is used to implement the transceiver functions of the communication device 160.
[0729] Optionally, if the communication device 160 is used to implement operations corresponding to the terminal device in the above embodiments, for example, the transceiver 165 and / or the processor 161 can determine the beam prediction accuracy based on the first information.
[0730] Optionally, the specific implementation process of the processor 161 and the transceiver 165 can refer to the relevant description of the above embodiments, which will not be repeated here.
[0731] Optionally, if the communication device 160 is used to implement operations corresponding to the network devices in the above embodiments, for example: the transceiver 165 can receive uplink information containing beam prediction accuracy, and the beam prediction accuracy is determined by the terminal device based on the first information.
[0732] Optionally, the specific implementation process of the processor 161 and the transceiver 165 can refer to the relevant description of the above embodiments, which will not be repeated here.
[0733] The processor 161 and transceiver 165 described in this application can be implemented on an IC (Integrated Circuit), an analog integrated circuit, an RFIC (Radio Frequency Integrated Circuit), a mixed-signal integrated circuit, an ASIC (Application Specific Integrated Circuit), a PCB (Printed Circuit Board), an electronic device, etc. The processor 161 and transceiver 165 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. In this application, a communication device can be a terminal device (such as a mobile phone) or a network device (such as a base station), which needs to be determined according to the context. In addition, the terminal device can be implemented in various forms. For example, the terminal devices described in this application may include mobile terminals such as mobile phones, tablet computers, laptop computers, 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.
[0734] Although the communication device is described above by taking a terminal device or a network device as an example, the scope of the communication device described in this application is not limited to the above-mentioned terminal device or network device, and the structure of the communication device may not be limited to Figure 10. The communication device may be an independent device or may be part of a larger device.
[0735] An embodiment of the present application further provides a communication system, including: a terminal device as in any of the above embodiments; and a network device as in any of the above embodiments.
[0736] An embodiment of the present application also provides a communication device, including a memory and a processor, wherein a processing program is stored in the memory, and when the processing program is executed by the processor, the steps of the processing method in any of the above embodiments are implemented.
[0737] The communication device in this application can be a terminal device (such as a mobile phone), a network device (such as a base station), or a chip (such as an SOC or a baseband chip with communication functions, etc.). The specific reference needs to be clarified according to the context.
[0738] An embodiment of the present application further provides a computer-readable storage medium, on which a processing program is stored. When the processing program is executed by a processor, the steps of the processing method in any of the above embodiments are implemented.
[0739] In the embodiments of the communication device and computer-readable storage medium provided in the embodiments of the present application, all technical features of any of the above-mentioned processing method embodiments may be included. The expanded and explained contents of the specification are basically the same as those of the embodiments of the above-mentioned methods and will not be repeated here.
[0740] The present application also provides a computer program product, which includes computer program code. When the computer program code is executed on a computer, the computer executes the methods described in the various possible embodiments. The present application also provides a chip, which includes a memory and a processor. The memory is used to store the computer program, and the processor is used to call and execute the computer program from the memory, so that a device equipped with the chip executes the methods described in the various possible embodiments.
[0741] 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, it is known to those skilled in the art that with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems. The serial numbers of the above embodiments of this application are for descriptive purposes only and do not represent the advantages or disadvantages of the embodiments. The steps in the methods of the embodiments of this application can be adjusted in order, combined, and deleted according to actual needs. The units in the devices of the embodiments of this application can be combined, divided, and deleted according to actual needs. In this application, for the same or similar terms, concepts, technical solutions, and / or application scenario descriptions, they are generally only described in detail the first time they appear. When they appear again, they are generally not repeated for the sake of brevity. When understanding the technical solutions of this application, for the same or similar terms, concepts, technical solutions, and / or application scenario descriptions that are not described in detail later, reference can be made to the relevant detailed descriptions that precede them. In this application, the descriptions of each embodiment have their own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. The various technical features of the technical solution of this application can be combined arbitrarily. In order to make the description concise, not all possible combinations of the various 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 this application.
[0742] Through the description of the above embodiments, it will be clear to those skilled in the art that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present application is essentially or partly contributed to the prior art and can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as above, including several instructions for enabling a terminal device (which can be a mobile phone, computer, server, controlled terminal device, or network device, etc.) to execute the method of each embodiment of the present application. In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a storage medium or transmitted from one storage medium to another storage medium. 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, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a storage disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)). The above are only preferred embodiments of the present application and do not limit the scope of the patent of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the scope of patent protection of the present application.
Claims
1. A processing method, wherein: Applied to terminal equipment, including the steps of: S1: Determine beam prediction accuracy based on first information.
2. The method of claim 1, wherein: The first information includes at least one prediction information and / or at least one measurement information of a target reference signal set.
3. The method of claim 2, wherein: Also includes at least one of the following: The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to a first number of predicted beams or reference signal index values; The prediction information includes: the first second number of predicted beams or reference signal index values, and / or, the signal qualities corresponding to the first second number of predicted beams or reference signal index values; The measurement information includes: the first number of measured beams or reference signal index values, and / or the signal qualities corresponding to the first number of measured beams or reference signal index values; The measurement information includes: the first third number of measured beams or reference signal index values, and / or, the signal qualities corresponding to the first third number of measured beams or reference signal index values; At least one prediction information and / or at least one measurement information of a target reference signal set is included in the monitoring window.
4. The method of claim 3, wherein: Beam prediction accuracy, including at least one of the following: The first number of measured beam or reference signal index values are percentages of the first number of predicted beam or reference signal index values; a percentage of the first number of measured beam or reference signal index values contained in the second number of predicted beam or reference signal index values; a percentage of the first number of predicted beam or reference signal index values contained in the first third number of measured beam or reference signal index values; The ratio of the number of correct predictions to the number of actual monitoring times; A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times; The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times; The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times; The ratio of the number of correctly predicted time units to the number of effectively monitored time units; A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units; The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units; An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
5. The method of claim 4, wherein: Also includes at least one of the following: The number of correct predictions, including at least one of the following: the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values; the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values; the number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values; The number of time units that were correctly predicted, including at least one of the following: The first number of measured beam or reference signal index values is the number of time units of the first number of predicted beam or reference signal index values; the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values; the number of time units in which the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values; The actual monitoring times are the number of at least one prediction information; The actual monitoring times are the number of groups of at least one prediction information; The number of time units effectively monitored is the number of time units corresponding to at least one prediction information; The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
6. The method of claim 3, wherein: Also includes at least one of the following: Determine a first reference signal set and / or a second reference signal set based on the first CSI report configuration; Determine a first CSI reference resource and / or a time slot of a first CSI report based on the first CSI report configuration; Determine a third reference signal set based on the second CSI reporting configuration; A second CSI reference resource and / or a time slot for a second CSI report is determined based on the second CSI report configuration.
7. The method of claim 6, wherein: Also includes at least one of the following: The monitoring window is a time unit of a fourth number of third reference signal sets of the second CSI reference resource no later than; The monitoring window is a time unit of a fourth number of target reference signal sets of the second CSI reference resource no later than; The monitoring window is a time unit that is no later than a fourth number of pairs of prediction information of the second CSI reference resource and a corresponding target reference signal set; The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set; The monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set: The monitoring window is a time unit that is no later than the fourth number of groups of the third reference signal set and the corresponding target reference signal set of the second CSI reference resource: The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by the radio resource control.
8. The method of claim 7, wherein: Also includes at least one of the following: The at least one prediction information is determined based on the measurement information of the first reference signal set and / or the second reference signal set; The target reference signal set is determined based on the third reference signal set; A set of prediction information is determined based on at least one of a latest transmission timing of a first reference signal set, a time slot of a first CSI report, and a first CSI reference resource; A set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set; A set of prediction information includes a sixth number of prediction information; The number of monitoring window time units is the number of transmission opportunities and / or time slots; The number of monitoring window time units is the number of time units of the reference signal.
9. A processing method, wherein: Applied to network equipment, including the steps of: S2: Receive uplink information including beam prediction accuracy, where the beam prediction accuracy is determined by the terminal device based on the first information.
10. The method of claim 9, wherein: The first information includes at least one prediction information and / or at least one measurement information of a target reference signal set.
11. The method of claim 10, wherein: Also includes at least one of the following: The prediction information includes: a first number of predicted beams or reference signal index values, and / or signal qualities corresponding to a first number of predicted beams or reference signal index values; The prediction information includes: the first second number of predicted beams or reference signal index values, and / or, the signal qualities corresponding to the first second number of predicted beams or reference signal index values; The measurement information includes: the first number of measured beams or reference signal index values, and / or the signal qualities corresponding to the first number of measured beams or reference signal index values; The measurement information includes: the first third number of measured beams or reference signal index values, and / or, the signal qualities corresponding to the first third number of measured beams or reference signal index values; At least one prediction information and / or at least one measurement information of a target reference signal set is included in the monitoring window.
12. The method of claim 11, wherein: Beam prediction accuracy, including at least one of the following: The first number of measured beam or reference signal index values are percentages of the first number of predicted beam or reference signal index values; a percentage of the first number of measured beam or reference signal index values contained in the second number of predicted beam or reference signal index values; a percentage of the first number of predicted beam or reference signal index values contained in the first third number of measured beam or reference signal index values; The ratio of the number of correct predictions to the number of actual monitoring times; A percentage determined based on the ratio of the number of correct predictions to the number of actual monitoring times; The accuracy range is determined based on the ratio of the number of correct predictions to the number of actual monitoring times; The accuracy index value is determined based on the ratio of the number of correct predictions to the actual number of monitoring times; The ratio of the number of correctly predicted time units to the number of effectively monitored time units; A percentage determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units; The accuracy range is determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units; An accuracy index value determined based on the ratio of the number of correctly predicted time units to the number of effectively monitored time units.
13. The method of claim 12, wherein: The number of correct predictions, including at least one of the following: the number of times the first number of measured beam or reference signal index values are the first number of predicted beam or reference signal index values; the number of times the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values; the number of times the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values; The number of time units that were correctly predicted, including at least one of the following: The first number of measured beam or reference signal index values is the number of time units of the first number of predicted beam or reference signal index values; the number of time units in which the first number of measured beam or reference signal index values are included in the second number of predicted beam or reference signal index values; the number of time units in which the first number of predicted beam or reference signal index values are included in the third number of measured beam or reference signal index values; The actual monitoring times are the number of at least one prediction information; The actual monitoring times are the number of groups of at least one prediction information; The number of time units effectively monitored is the number of time units corresponding to at least one prediction information; The number of time units effectively monitored is the number of time units corresponding to the prediction information corresponding to at least one target reference signal set.
14. The method of claim 11, wherein: Also includes at least one of the following: Determine a first reference signal set and / or a second reference signal set based on the first CSI report configuration; Determine a first CSI reference resource and / or a time slot of a first CSI report based on the first CSI report configuration; Determine a third reference signal set based on the second CSI reporting configuration; A second CSI reference resource and / or a time slot for a second CSI report is determined based on the second CSI report configuration.
15. The method of claim 14, wherein: Also includes at least one of the following: The monitoring window is a time unit of a fourth number of third reference signal sets of the second CSI reference resource no later than; The monitoring window is a time unit of a fourth number of target reference signal sets of the second CSI reference resource no later than; The monitoring window is a time unit that is no later than a fourth number of pairs of prediction information of the second CSI reference resource and a corresponding target reference signal set; The monitoring window is a time unit that is no later than the fourth number of second CSI reference resources for the third reference signal set and the corresponding target reference signal set; The monitoring window is a time unit that is no later than the fourth number of groups of prediction information of the second CSI reference resource and the corresponding target reference signal set: The monitoring window is a time unit that is no later than the fourth number of groups of the third reference signal set and the corresponding target reference signal set of the second CSI reference resource: The monitoring window is determined based on at least one of a period, an offset value, and a number of monitoring window time units configured by the radio resource control.
16. The method of claim 15, wherein: Also includes at least one of the following: The at least one prediction information is determined based on the measurement information of the first reference signal set and / or the second reference signal set; The target reference signal set is determined based on the third reference signal set; A set of prediction information is determined based on at least one of a latest transmission timing of a first reference signal set, a time slot of a first CSI report, and a first CSI reference resource; A set of prediction information is determined based on a fifth number of measurement information of the first reference signal set and / or the second reference signal set; A set of prediction information includes a sixth number of prediction information; The number of monitoring window time units is the number of transmission opportunities and / or time slots; The number of monitoring window time units is the number of time units of the reference signal.
17. A communication device, wherein: include: A memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program is executed by the processor to implement the steps of the processing method according to claim 1 or 9.
18. A computer-readable storage medium, wherein: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the processing method according to claim 1 or 9.
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