Measurement result reporting methods, terminal, network device and communication system

Abstract

The present disclosure relates to measurement result reporting methods, a terminal, a network device, and a communication system. A method comprises: receiving configuration information, the configuration information being used for determining an uplink transmission behavior of first data, and the first data comprising data related to a prediction result obtained by means of prediction. By means of configuring the uplink transmission behavior of the first data for a terminal, the terminal can clearly know how to report the first data and / or second data, thereby optimizing the data reporting behavior of the terminal and improving data reporting efficiency.

Description

Measurement result reporting methods, terminals, network equipment, and communication systems Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to measurement result reporting methods, terminals, network equipment, and communication systems. Background Technology

[0002] Wireless communication networks can use predictive models for prediction and inference to improve system performance. Therefore, when sending measurement reports, terminals need to consider the data related to the prediction results obtained from the predictions, and study how to ensure the reporting efficiency of the actual measurement results and the data related to the prediction results. Summary of the Invention

[0003] This disclosure provides a measurement result reporting method, terminal, network device, and communication system to ensure the effective transmission of relevant data for accurate measurement results and prediction results.

[0004] According to a first aspect of the present disclosure, a measurement result reporting method is proposed, which is executed by a terminal. The method includes: receiving configuration information, the configuration information being used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction.

[0005] According to a second aspect of the present disclosure, a measurement result reporting method is proposed, which is executed by a network device. The method includes: sending configuration information, the configuration information being used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction.

[0006] According to a third aspect of the present disclosure, a terminal is provided, comprising: a transceiver module for receiving configuration information; and a processing module for determining uplink transmission behavior for first data based on the configuration information, wherein the first data includes data related to prediction results obtained through prediction.

[0007] According to a fourth aspect of the present disclosure, a network device is provided, comprising: a processing module for determining configuration information, the configuration information being used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction; and a transceiver module for sending the configuration information.

[0008] According to a fifth aspect of the present disclosure, a communication device is provided for performing a measurement result reporting method as described in the first or second aspect.

[0009] According to a sixth aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the measurement result reporting method described in the first aspect, and the network device is configured to implement the measurement result reporting method described in the second aspect.

[0010] According to a seventh aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform a measurement result reporting method as described in the first or second aspect.

[0011] According to an eighth aspect of the present disclosure, a program product is provided, including at least one of a program and instructions, wherein when the program and instructions are executed by a communication device, the steps of the measurement result reporting method described in the first or second aspect are implemented.

[0012] In the above embodiments, by configuring the uplink transmission behavior of the first data for the terminal, the terminal can clearly understand how to perform the reporting of the first data and / or the second data, thereby optimizing the terminal's data reporting behavior and improving the efficiency of data reporting. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for describing the embodiments are introduced below. These drawings are merely some embodiments of this disclosure and do not impose specific limitations on the scope of protection of this disclosure. Figure 1 is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of this disclosure. Figure 2A is a schematic diagram of the LTM process provided according to an embodiment of this disclosure. Figure 2B is an exemplary interactive schematic diagram of a measurement result reporting method provided according to an embodiment of this disclosure. Figure 3A is a schematic block diagram of the device structure of a terminal shown according to an embodiment of this disclosure. Figure 3B is a schematic block diagram of the device structure of a network device shown according to an embodiment of this disclosure. Figure 4A is a schematic structural diagram of a communication device proposed in an embodiment of this disclosure. Figure 4B is a schematic structural diagram of a chip proposed in an embodiment of this disclosure. Detailed Implementation

[0014] This disclosure presents a method for reporting measurement results, a terminal, a network device, and a communication system.

[0015] In a first aspect, embodiments of this disclosure propose a measurement result reporting method executed by a terminal. The method includes: receiving configuration information, the configuration information being used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction.

[0016] In the above embodiments, by configuring the uplink transmission behavior of the first data for the terminal, the terminal can clearly understand how to perform the reporting of the first data and / or the second data, thereby optimizing the terminal's data reporting behavior and improving the efficiency of data reporting.

[0017] In conjunction with some embodiments of the first aspect, in some embodiments, the priority of each piece of data in the first data is determined; and the data with higher priority in the first data is sent.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: determining the priority of each piece of data in the second data; wherein the second data includes data related to measurement results obtained through measurement; and sending the higher-priority data in the first data and / or the second data.

[0019] In the above embodiments, determining the sending order based on priority can ensure that important data is uploaded first, thereby improving the utilization efficiency of network resources and reducing network latency.

[0020] In conjunction with some embodiments of the first aspect, in some embodiments, the priority of the first data is lower than the priority of the second data.

[0021] In the above embodiments, by setting the priority of the first data to be lower than that of the second data, it is possible to ensure that measurement data is processed first, which helps to enhance the stability and responsiveness of the communication system.

[0022] In conjunction with some embodiments of the first aspect, in some embodiments, the priority of each piece of data in the first data and / or the priority of each piece of data in the second data is determined based on at least one of the following information: a first time moment, where the first time moment is the time when the prediction of the first data takes effect; a first time interval, where the first time interval is the time interval between the first time moment and the second time moment, where the first time moment is the time when the prediction of the first data takes effect and the second time moment is the time when the prediction is executed; a second time interval, where the second time interval is the time interval between the first time moment and the third time moment, where the first time moment is the time when the prediction of the first data takes effect and the third time moment is the time when the first information to be uploaded is generated or sent; a fourth time moment, where the fourth time moment is the measurement time of the second data; a confidence value, where the confidence value is used to indicate the reliability of the data; the first data is at the cell level or the beam level; the second data is at the cell level or the beam level; a first index, where the first index is used to indicate the quality of the first data; a second index, where the second index is used to indicate the quality of the second data; a first measurement event, wherein the first measurement event includes measurement events related to the first data; and a second measurement event, wherein the second measurement event includes measurement events related to the second data.

[0023] In the above embodiments, determining data priority based on multi-dimensional information (such as time, time interval, confidence value, etc.) can more accurately assess the importance of data, optimize network transmission, reduce latency, and improve system response speed.

[0024] In conjunction with some embodiments of the first aspect, in some embodiments, the priority of the fourth data and the fifth data in the first data is determined to be higher than that of the fifth data based on at least one of the following criteria: the first moment of the fourth data is earlier than the first moment of the fifth data; the first time interval of the fourth data is shorter than the first time interval of the fifth data; the second time interval of the fourth data is shorter than the second time interval of the fifth data; the confidence value of the fourth data is higher than that of the fifth data; the fourth data is cell-level first data and the fifth data is beam-level first data; the fourth data is beam-level first data and the fifth data is cell-level first data; the first indicator of the fourth data is better than the first indicator of the fifth data; the fourth data satisfies the first measurement event, and the fifth data does not satisfy the first measurement event; the occurrence time of the first measurement event satisfied by the fourth data is earlier than the occurrence time of the first measurement event satisfied by the fifth data.

[0025] In the above embodiments, determining the priority of the first data based on multiple criteria helps to make more flexible and dynamic decisions in complex network environments, thereby improving the efficiency and reliability of the overall system.

[0026] In conjunction with some embodiments of the first aspect, in some embodiments, based on at least one of the following criteria, it is determined that the sixth data and the seventh data in the second data have a higher priority than the seventh data: the fourth time of the sixth data is earlier than the fourth time of the seventh data; the confidence value of the sixth data is higher than the confidence value of the seventh data; the sixth data is cell-level second data and the seventh data is beam-level second data; the sixth data is beam-level second data and the seventh data is cell-level second data; the second indicator of the sixth data is better than the second indicator of the seventh data; the sixth data satisfies the second measurement event, and the seventh data does not satisfy the second measurement event; the occurrence time of the second measurement event satisfied by the sixth data is earlier than the occurrence time of the second measurement event satisfied by the seventh data.

[0027] In the above embodiments, by flexibly adjusting the priority of the second data, the data transmission process is further optimized, ensuring that key measurement data can be uploaded at the appropriate time, thereby improving the overall reliability and performance of the system.

[0028] In conjunction with some embodiments of the first aspect, in some embodiments, satisfying the first measurement event includes at least one of the following: second data of a first cell satisfies the first measurement event; wherein the first cell is a cell associated with the first data; second data of a first beam satisfies the first measurement event; wherein the first beam is a beam associated with the first data; first data at a fifth time satisfies the first measurement event; wherein the fifth time is the current time; first data at a sixth time satisfies the first measurement event; wherein the sixth time is a historical time; first data at a seventh time satisfies the first measurement event; wherein the seventh time is a future time.

[0029] In the above embodiments, by prioritizing the processing of data that meet specific measurement events, the system's adaptability to environmental changes can be improved, and data at critical moments can be uploaded in a timely manner, ensuring the real-time performance of the network.

[0030] In conjunction with some embodiments of the first aspect, in some embodiments, the configuration information includes first configuration information, which is used to determine the priority of each piece of data in the first data and / or the priority of each piece of data in the second data.

[0031] In the above embodiments, determining the priority of data through configuration information can further improve the accuracy of data processing and the flexibility of priority scheduling.

[0032] In conjunction with some embodiments of the first aspect, in some embodiments, the first configuration information includes at least one of the following: cell; frequency point; beam; prediction function; prediction scenario.

[0033] In the above embodiments, determining data priority by using more information related to the data (such as cell, frequency, beam, etc.) helps improve the system's adaptability and optimization capabilities to various transmission environments.

[0034] In conjunction with some embodiments of the first aspect, in some embodiments, it is determined that the total amount of the first data and / or the second data exceeds a data volume threshold; the data with higher priority among the first data and / or the second data is sent.

[0035] In the above embodiments, dynamically adjusting the data sent based on the data volume and priority can effectively avoid network congestion, ensure that high-priority data can be uploaded in a timely manner, and at the same time avoid excessive low-priority data from affecting system performance.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, the data volume threshold is determined by at least one of the following: the data volume carried by the first information; the first information being the reporting information to be sent; the maximum data volume sent in a single transmission; and the network device configuration.

[0037] In the above embodiments, determining the amount of data to be sent based on different thresholds (such as data capacity or network device configuration) helps to control the amount of data transmitted each time and avoid network pressure caused by excessive data volume.

[0038] In conjunction with some embodiments of the first aspect, in some embodiments, based on a data volume threshold, data in the first data and / or the second data are sequentially determined as third data according to the priority order until the data volume of the third data reaches the data volume threshold; the third data includes data with higher priority in the first data and / or the second data, and the data volume of the third data is less than or equal to the data volume threshold; first information is sent, and the first information includes the third data.

[0039] In the above embodiments, by selecting high-priority data to be sent first based on priority and data volume threshold, data transmission efficiency is further improved, and network load can be balanced to ensure efficient use of network resources.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, first data and / or second data are sent sequentially from high to low priority; wherein the amount of data sent each time is less than or equal to a data amount threshold.

[0041] In the above embodiments, data is sent in descending order of priority, and the amount of data sent each time is limited, which can effectively avoid congestion problems caused by large data transmission, while ensuring that critical data is transmitted first.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the configuration information is further used to determine a priority threshold; and to send data in the first data and / or the second data with a priority higher than the priority threshold.

[0043] In conjunction with some embodiments of the first aspect, in some embodiments, the configuration information is further used to determine a priority threshold; and to determine third data from the first data and / or second data whose priority is higher than the priority threshold.

[0044] In the above embodiments, setting priority thresholds helps to achieve more granular priority management, ensuring that more important data can be transmitted first without exceeding the network's load limits.

[0045] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is carried by at least one of the following messages: uplink control message (UCI); media access control unit (MAC CE); radio resource control (RRC) message.

[0046] In the above embodiments, by using different types of messages (such as UCI, MAC CE, etc.) as the first information carrier, the information transmission method can be optimized, the efficiency of network resource utilization can be improved, and various network conditions can be adapted.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is sent in at least one of the following forms: a first report, which is a report for transmitting first data; a second report, which is a report for transmitting second data; and a third report, which is a report for transmitting both first and second data.

[0048] In the above embodiments, using different report formats to transmit data allows for flexible selection of appropriate transmission methods based on the characteristics of different data, ensuring the efficiency and accuracy of the transmission process.

[0049] In conjunction with some embodiments of the first aspect, in some embodiments, the first data includes at least one of the following: data related to the prediction result obtained through time-domain prediction; data related to the prediction result obtained through spatial-domain prediction; and data related to the prediction result obtained through frequency-domain prediction.

[0050] In the above embodiments, multiple prediction types are supported, which can provide comprehensive prediction information, thereby improving the system's data processing capabilities.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the prediction results obtained by prediction include: prediction results obtained by prediction for layer 1 measurements; and / or prediction results obtained by prediction for layer 3 measurements.

[0052] In the above embodiments, the ability to predict different types of measurements can improve system performance.

[0053] Secondly, this disclosure provides a measurement result reporting method executed by a network device. The method includes sending configuration information, which is used to determine uplink transmission behavior for first data, the first data including data related to the measurement result obtained through prediction.

[0054] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes: receiving data with higher priority from the first data and / or the second data; wherein the second data is data related to measurement results obtained through measurement.

[0055] In conjunction with some embodiments of the second aspect, in some embodiments, the priority of the first data is lower than the priority of the second data.

[0056] In conjunction with some embodiments of the second aspect, in some embodiments, the priority of each piece of data in the first data and / or the priority of each piece of data in the second data are determined based on at least one of the following: a first time moment, where the first time moment is the time when the prediction of the first data takes effect; a first time interval, where the first time interval is the time interval between the first time moment and the second time moment, where the first time moment is the time when the prediction of the first data takes effect and the second time moment is the time when the prediction is executed; a second time interval, where the second time interval is the time interval between the first time moment and the third time moment, where the first time moment is the time when the prediction of the first data takes effect and the third time moment is the time when the first information to be uploaded is generated or sent; a fourth time moment, where the fourth time moment is the measurement time of the second data; a confidence value, where the confidence value is used to indicate the reliability of the data; the first data is at the cell level or the beam level; the second data is at the cell level or the beam level; a first index, where the first index is used to indicate the quality of the first data; a second index, where the second index is used to indicate the quality of the second data; a first measurement event, wherein the first measurement event includes measurement events related to the first data; and a second measurement event, wherein the second measurement event includes measurement events related to the second data.

[0057] In conjunction with some embodiments of the second aspect, in some embodiments, the priority between the fourth and fifth data in the first data is determined based on at least one of the following criteria: the first moment of the fourth data is earlier than the first moment of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; the first time interval of the fourth data is shorter than the first time interval of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; the second time interval of the fourth data is shorter than the second time interval of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; the confidence value of the fourth data is higher than the confidence value of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; the fourth data is cell-level first data and the fifth data is beam-level first data, and the priority of the fourth data is higher than the priority of the fifth data; the fourth data is beam-level first data and the fifth data is cell-level first data, and the priority of the fourth data is higher than the priority of the fifth data; the first indicator of the fourth data is better than the first indicator of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; the fourth data satisfies the first measurement event, and the fifth data does not satisfy the first measurement event, and the priority of the fourth data is higher than the priority of the fifth data; the occurrence time of the first measurement event satisfied by the fourth data is earlier than the occurrence time of the first measurement event satisfied by the fifth data, and the priority of the fourth data is higher than the priority of the fifth data.

[0058] In conjunction with some embodiments of the second aspect, in some embodiments, the priority between the sixth and seventh data in the second data is determined based on at least one of the following criteria: the fourth time of the sixth data is earlier than the fourth time of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data; the confidence value of the sixth data is higher than the confidence value of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data; the sixth data is cell-level second data and the seventh data is beam-level second data, and the priority of the sixth data is higher than the priority of the seventh data; the sixth data is beam-level second data and the seventh data is cell-level second data, and the priority of the sixth data is higher than the priority of the seventh data; the second indicator of the sixth data is better than the second indicator of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data; the sixth data satisfies the second measurement event, and the seventh data does not satisfy the second measurement event, and the priority of the sixth data is higher than the priority of the seventh data; the occurrence time of the second measurement event satisfied by the sixth data is earlier than the occurrence time of the second measurement event satisfied by the seventh data, and the priority of the sixth data is higher than the priority of the seventh data.

[0059] In conjunction with some embodiments of the second aspect, in some embodiments, satisfying the first measurement event includes at least one of the following: second data of a first cell satisfies the first measurement event; wherein the first cell is a cell associated with the first data; second data of a first beam satisfies the first measurement event; wherein the first beam is a beam associated with the first data; first data at a fifth time satisfies the first measurement event; wherein the fifth time is the current time; first data at a sixth time satisfies the first measurement event; wherein the sixth time is a historical time; first data at a seventh time satisfies the first measurement event; wherein the seventh time is a future time.

[0060] In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information includes first configuration information, which is used to determine the priority of each data in the first data and / or the priority of each data in the second data.

[0061] In conjunction with some embodiments of the second aspect, in some embodiments, the first configuration information includes at least one of the following: cell; frequency point; beam; prediction function; prediction scenario.

[0062] In conjunction with some embodiments of the second aspect, in some embodiments, receiving data with higher priority from the first data and / or the second data includes: receiving data with higher priority from the first data and / or the second data when the total amount of the first data and / or the second data exceeds a data volume threshold.

[0063] In conjunction with some embodiments of the second aspect, in some embodiments, the data volume threshold is determined by at least one of the following: the data volume carried by the first information; the first information being the reporting information to be sent; the maximum data volume sent in a single transmission; and network device configuration.

[0064] In conjunction with some embodiments of the second aspect, in some embodiments, receiving data with higher priority among the first data and / or the second data includes: receiving first information, the first information including third data, the third data including data with higher priority among the first data and / or the second data; the data volume of the third data is less than or equal to a data volume threshold.

[0065] In conjunction with some embodiments of the second aspect, in some embodiments, receiving the data with higher priority among the first data and / or the second data includes: receiving the first data and / or the second data in descending order of priority; wherein the amount of data received each time is less than or equal to a data amount threshold.

[0066] In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information is further used to determine a priority threshold, and the third data includes data determined from first data and / or second data with a priority higher than the priority threshold.

[0067] In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information is also used to determine a priority threshold, and the third data includes data from the first data and / or the second data with a priority higher than the priority threshold.

[0068] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is carried by at least one of the following messages: uplink control message (UCI); media access control unit (MAC CE); radio resource control (RRC) message.

[0069] In conjunction with some embodiments of the second aspect, in some embodiments, the first information takes at least one of the following forms: a first report, which is a report for transmitting first data; a second report, which is a report for transmitting second data; and a third report, which is a report for transmitting both first and second data.

[0070] In conjunction with some embodiments of the second aspect, in some embodiments, the first data includes at least one of the following: data related to the prediction result obtained through time-domain prediction; data related to the prediction result obtained through spatial-domain prediction; and data related to the prediction result obtained through frequency-domain prediction.

[0071] In conjunction with some embodiments of the second aspect, in some embodiments, the prediction results obtained by prediction include: prediction results obtained by prediction for layer 1 measurements; and / or prediction results obtained by prediction for layer 3 measurements.

[0072] Thirdly, embodiments of this disclosure propose a terminal, including: a transceiver module for receiving configuration information; and a processing module for determining uplink transmission behavior for first data based on the configuration information, wherein the first data includes data related to prediction results obtained through prediction.

[0073] Fourthly, embodiments of this disclosure propose a network device, comprising: a processing module for determining configuration information, the configuration information being used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction; and a transceiver module for sending the configuration information.

[0074] Fifthly, embodiments of this disclosure provide a communication device for performing the measurement result reporting method described in the first or second aspect.

[0075] In a sixth aspect, embodiments of this disclosure provide a communication system including a terminal and a network device, wherein the terminal is configured to implement the measurement result reporting method described in the first aspect, and the network device is configured to implement the measurement result reporting method described in the second aspect.

[0076] In a seventh aspect, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the measurement result reporting method as described in the first or second aspect.

[0077] Eighthly, embodiments of this disclosure provide a program product including at least one of a program and instructions, wherein when the program or instructions are executed by a communication device, they implement the steps of the measurement result reporting method described in the first or second aspect.

[0078] It is understood that the aforementioned communication equipment, communication system, storage medium, program product, etc., are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0079] This disclosure provides a measurement result reporting method, terminal, network device, and communication system. In some embodiments, the terms "measurement result reporting method" and "information processing method," "communication method," etc., can be used interchangeably.

[0080] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments. In all embodiments of this disclosure, unless otherwise specified or logically conflicting, the terminology and / or descriptions between the embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0081] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0082] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0083] In the embodiments disclosed herein, "multiple" refers to two or more.

[0084] In some embodiments, the terms “at least one of A or B, at least one of A and B”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0085] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of whether there is a branch B); in some embodiments, B (execute B regardless of whether there is a branch A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, both A and B are executed. The same applies when there are more branches such as A, B, C, etc.

[0086] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execute A regardless of whether a branch B exists); in some embodiments, B (execute B regardless of whether a branch A exists); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, and C.

[0087] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0088] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0089] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0090] In some embodiments, terms such as “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, etc. can be used interchangeably. These descriptions all refer to the device making a corresponding action under certain objective circumstances. They do not necessarily limit the time, nor do they require the device to make a judgment action when implementing it, nor do they mean that there must be other limitations.

[0091] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0092] In some embodiments, devices, etc., may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as “device,” “equipment,” “circuit,” “network element,” “network function,” “network device,” “function,” “node,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0093] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0094] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0095] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0096] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, and uplink link, downlink, etc., can be replaced with sidelink link.

[0097] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0098] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0099] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0100] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0101] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0102] As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102; the network device may include access network devices and core network devices.

[0103] In some embodiments, terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home, but is not limited thereto.

[0104] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system, but is not limited thereto.

[0105] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0106] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0107] In some embodiments, the core network equipment may be a single device, including a first network element, a second network element, etc., or it may be multiple devices or a group of devices, each including all or part of the first network element, the second network element, etc. Network elements may be virtual or physical. The core network may include, for example, at least one of the Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0108] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0109] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0110] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0111] In some embodiments, machine learning algorithms are one of the most important methods for implementing artificial intelligence technology. Machine learning can obtain models from large amounts of training data, and these models can then be used to predict events. In many fields, machine learning models can achieve very accurate prediction results.

[0112] To support L3 mobility, network devices configure RRM measurements for the UE. Based on the measurement results reported by the UE, the network device can trigger a handover. Current L3 measurement reports can include cell-level and beam-level measurement results. Based on the UE's measurement reports, the network can determine the target cell for handover and the optimal beam for the UE to access. After the target cell and / or beam are confirmed, a handover command is sent to the UE, carrying configuration information for the target cell. This configuration information may include bearer configuration, MAC configuration, and random access configuration. Upon receiving the handover command, the UE synchronizes with the target cell, then initiates a random access procedure to access the target cell and begins using the target cell's configuration.

[0113] In some embodiments, in existing L3 handover mechanisms, handover is triggered and executed based on reported historical measurement results and / or measurement events, essentially a reactive approach. This approach may perform well in existing macrocell low-mobility scenarios, but when UE mobility is high, or in high-density deployment scenarios, or when there is mobility for both existing and future services (e.g., XR), this reactive approach may have problems, such as a higher likelihood of handover failures, radio link failures, ping-pong handovers, throughput loss, or premature / late handover requests. To improve handover robustness, conditional handover is introduced. To reduce the downtime caused by frequent inter-cell handovers, LTM handover (LTM HO) is introduced. However, these two mechanisms are insufficient because they are still reactive by design. On the other hand, AI / ML algorithm-based mechanisms have the potential to achieve proactive solutions. Therefore, AI-based mobility optimization schemes are researched, incorporating the prediction of measurement results, including prediction of cell-level and beam-level measurement results.

[0114] Layer 1 / Layer 2 Triggered Mobility (LTM):

[0115] LTM refers to the process where a network device receives an L1 measurement report from a terminal. Based on the received L1 measurement results, the network device can send a Cell Switch Command signaling to the terminal via MAC CE to change the serving cell. The network device pre-sends multiple LTM candidate configurations to the terminal via RRC signaling. When LTM is triggered, the sent Cell Switch Command MAC CE indicates the LTM candidate configuration corresponding to the target cell to be accessed. The terminal then applies the corresponding LTM target configuration to complete the serving cell change. The network device's ability to trigger the Cell Switch based on L1 measurement results allows for rapid channel changes and timely handover.

[0116] During LTM (Local Time Management), advance uplink and downlink synchronization for candidate cells is supported, enabling RACH-less LTM cell switching. The TA (Time Advance) values ​​of LTM candidate cells can be obtained in advance through two methods: advance time advance (TA) acquisition and UE-based TA measurement, to support RACH-less LTM cell switching. Performing advance uplink and downlink synchronization for candidate cells effectively reduces data interruptions during handover.

[0117] LTM supports Subsequent LTM, meaning that the terminal does not release the LTM candidate configuration after each LTM Cell Switch. This allows the terminal to continue performing subsequent Cell Switches after mobility operations have been completed, without RRC reconfiguration or reset. Supporting Subsequent LTM effectively reduces signaling overhead.

[0118] LTM supports mobility within a network device distributed unit (intra-gNB-DU), within a network device centralized unit (intra-gNB-CU), and between network device distributed units (inter-gNB-DU); and can further enhance LTM, including supporting inter-CU LTM, condition-triggered LTM, and event-triggered L1 measurement reporting.

[0119] As shown in Figure 2A, the LTM process is as follows:

[0120] LTM preparation phase:

[0121] 1. When the terminal is in the state of accessing radio resources, it sends a MeasurementReport message to the network device. The network device then decides to configure LTM and starts LTM candidate preparation.

[0122] 2. The network device sends a Radio Resource Control Reconfiguration (RRCReconfiguration) message containing the LTM candidate configuration to the terminal.

[0123] 3. The terminal stores the LTM candidate configuration and sends an RRC Reconfiguration Complete message to the network device.

[0124] Early synchronization phase:

[0125] 4a. Before receiving a cell handover command, the terminal performs downlink synchronization with the candidate cell(s).

[0126] 4b. The terminal performs uplink synchronization with the candidate cell(s).

[0127] LTM cell switch execution phase:

[0128] 5. The terminal performs L1 measurements on the configured candidate cells and sends L1 measurement reports to the network equipment.

[0129] 6. The network device decides to perform a cell handover to the target cell and sends an LTM cell switch command via a MAC CE that includes the candidate configuration index of the target cell.

[0130] 7. The terminal shares from the source cell and applies target configurations. If the terminal does not have a valid TA for the target cell, the UE performs a random access procedure (RACH procedure) for the target cell.

[0131] LTM cell handover completion phase:

[0132] 8. The terminal can indicate LTM cell switch completion by sending a Radio Resource Control Reconfiguration Complete (RRC Reconfiguration Complete) message to the target cell.

[0133] Regarding L1 measurement of LTM:

[0134] 1): L1 measurement reporting triggered by network devices

[0135] LTM supports both intra-frequency and inter-frequency L1 measurements. For example, the L1-RSRP measurement based on the Synchronization Signal Block (SSB).

[0136] L1 measurements support semi-persistent and periodic reporting on the Physical Uplink Shared Channel (PUSCH) and semi-persistent and periodic reporting on the Physical Uplink Control Channel (PUCCH).

[0137] L1 measurement may also include the following aspects:

[0138] Channel State Information Reference Signal (CSI-RS) measurement;

[0139] Layer 1 signal-to-noise and interference ratio (L1-SINR) measurement;

[0140] Event-triggered L1 measurement reporting;

[0141] Current L1 measurement is enhanced.

[0142] In the LTM process, the LTM Cell Switch Command is generated by the Source Distribution Unit (S-DU). In the LTM of the Intra-CU within the centralized unit, the Source Network Equipment Distribution Unit (Source gNB-DU) makes the Cell switch decision. The S-gNB-DU makes the Cell Switch decision based on the L1 measurement results reported by the UE to determine the LTM access candidate target cell, and then the S-gNB-DU sends the Cell switch command to the UE.

[0143] 2): Event-based L1 measurement reporting

[0144] To reduce measurement reports and improve mobility robustness, event-triggered measurement reporting is supported. Event-triggered measurement reports can assist the NW side in selecting the target beam and / or cell to trigger early synchronization, or assist the NW side in selecting the target cell and / or the corresponding beam when triggering LTM Cell Switch.

[0145] A measurement report can be triggered when the measurement result of L1 meets the following event.

[0146] Event LTM2: The signal quality of the serving cell falls below the absolute threshold.

[0147] Event LTM3: The signal quality of the candidate cell is better than that of the serving cell by an offset.

[0148] Event LTM4: The signal quality of the candidate cell exceeds the absolute threshold.

[0149] Event LTM5: The signal quality of the serving cell is lower than the absolute threshold 1, and the signal quality of the candidate cell is higher than the absolute threshold 2.

[0150] The serving cell's beam is the current beam, which is the beam indicated by the indicated TCI state. The candidate cell's beam is any one or more beams configured in the candidate reference signal configuration (or measurement resource configuration).

[0151] Among them, event-based L1 measurement reporting is sent to the network via MAC CE messages.

[0152] The configuration of measurement events is in the serving cell configuration, and the configuration of measurement events is associated with the configuration of measurement resources.

[0153] In some embodiments, wireless communication networks can use AI for prediction and inference to improve system performance. Training AI models requires collecting a large amount of data, and the data requirements vary depending on the application scenario. Application scenarios may include mobile communication system processes such as beam management, CSI reporting, CSI compression, positioning, handover, mobility management, and radio resource management.

[0154] In the use and reasoning of AI, multiple AI models or AI model functions may be needed for reasoning and prediction. An AI function implements a specific function and may include one or more AI models.

[0155] AI models or functions can achieve good performance under specific application conditions, which can be divided into network-side conditions and UE-side conditions.

[0156] Conditions on the UE side may include: UE speed; battery level; power; computing power, which can be measured by floating point operations per second (FLOPs); location, which can be a geographic location or a location within the cell; service type, such as audio, video, multimedia, voice, etc.; antenna configuration, including the number of ports; rotation speed; and storage space, which can be measured in bits.

[0157] Conditions on the network device side may include: cell type, such as macro cell, micro cell, dense urban cell; network deployment scenario, such as indoor or outdoor; wireless channel quality, which can be determined by RSRP, RSRQ, or SINR; cell frequency; cell location; distance between base stations; antenna configuration, including the number of ports and the number of Multiple Input Multiple Output (MIMO) layers; transmit power; and digital allocation scheme (Numerology).

[0158] Network device-side conditions can be bound to IDs, with the network device indicating these conditions by providing the ID. The UE is unaware of which specific network conditions the ID represents. When the UE uses AI for inference, it checks if the current network-indicated ID matches the network ID used when collecting AI function / model training data. If they don't match, the UE determines that the current AI function / model does not meet the network-side conditions. In AI / ML use cases, a Functionality describes a function supported by the terminal; a Functionality can contain one or more AI models.

[0159] Model functionality can include the following categories:

[0160] 1. Supported functionalities refer to the functionalities that the UE can indicate by using UE capability information (via RRC / LPP signalling);

[0161] 2. Applicable functionalities refer to the functionalities that the UE is ready to apply for inference.

[0162] 3. Activated functionalities refer to functionalities that are already enabled for performing inference.

[0163] Similar to terminal capability reporting, terminals can report the AI ​​functionality they support to the network. For example, AI-based spatial beam prediction is one AI functionality, while AI-based temporal beam prediction is another.

[0164] When an AI function has begun inference and prediction, it is considered an applicable function. The UE can report applicable functions, and the network selects an AI function from among them for management. The UE determines the applicability of an AI function based on the following conditions: an applicable AI model has been acquired, the network conditions for the AI ​​model are met, and the UE conditions are met. When all three conditions are met, the corresponding AI function is determined to be applicable.

[0165] If the availability of AI functions changes, the UE can report whether the AI ​​functions are available or unavailable to the network. The network can also instruct the UE to report whether the AI ​​functions are available or unavailable.

[0166] The management of AI models or functions includes activating, deactivating, and switching them. The network can monitor the performance of AI; if performance degrades, it is necessary to replace the AI ​​function or AI model, or deactivate the AI ​​function.

[0167] If an activated AI function becomes unavailable, the UE needs to fall back to a mode where AI is not enabled, and simultaneously send an instruction to the network. The network can then activate other AI functions or switch between them.

[0168] In some embodiments, to better achieve the integration of AI and mobility, the scope of application of the integration of AI and mobility can be expanded, for example, by supporting AI-based LTM enhancement.

[0169] AI-based LTM prediction:

[0170] In the research on the integration of AI and mobility, the corresponding AI / ML-assisted mobility is used to assist L3 mobility prediction, and the enhancement related to the integration of AI and LTM, i.e., AI / ML-assisted LTM enhancement, has not been studied.

[0171] LTM can effectively reduce handover latency, decrease signaling overhead, and achieve fast handover. Therefore, integrating AI with LTM can better achieve low-latency and high-reliability handover.

[0172] Unlike L3 handover, LTM supports early uplink / downlink synchronization, which can effectively reduce handover interruptions. LTM also supports triggering mobility based on L1 measurements, which can effectively reduce handover latency.

[0173] For LTM and L1 measurements, future 6G may also support the following functions:

[0174] AI / ML based L1 measurement for LTM and event prediction;

[0175] L1 measurement prediction, including intra-frequency and inter-frequency (UE-side and NW-side models);

[0176] L1 measurement events prediction (UE-sided model)

[0177] LTM event prediction for L1 measurement report;

[0178] LTM event prediction for Conditional LTM evaluation;

[0179] HO failure (the HO is triggered by LTM) prediction (UE-sided model).

[0180] In some embodiments, the potential benefits and gains of AI / ML-aided mobility for network-triggered L3-based handover are studied and evaluated, considering the following aspects:

[0181] AI / ML based RRM measurement and event prediction;

[0182] Cell-level measurement prediction, including intra-frequency and inter-frequency (UE-sided and NW-sided models) [RAN2];

[0183] Inter-cell Beam-level measurement prediction for L3 Mobility (UE-sided and NW-sided model) [RAN2];

[0184] HO failure / RLF prediction (UE-sided model) [RAN2];

[0185] Measurement events prediction (UE-sided model) [RAN2].

[0186] Figure 2B is an interactive schematic diagram of a measurement result reporting method according to an embodiment of the present disclosure. As shown in Figure 2B, the present disclosure relates to a measurement result reporting method, which includes:

[0187] In step S201, the access network device 102 sends configuration information to the terminal 101.

[0188] The configuration information can be used to determine the uplink transmission behavior of the first data, which includes data related to the prediction results obtained through prediction.

[0189] In some embodiments, the data associated with the prediction results include, but are not limited to, cell-level measurement results and / or beam-level measurement results.

[0190] In some embodiments, the data associated with the prediction results include, but are not limited to, any one or more of the following measurements: RSRP, RSRQ, and / or SINR.

[0191] In some embodiments, terminal 101 receives configuration information sent by network device 102, and can determine the uplink transmission behavior for the first data based on the configuration information.

[0192] In some embodiments, terminal 101 can obtain configuration information specified by the protocol, and determine the uplink transmission behavior of the first data based on the configuration information, in which case step S201 can be omitted.

[0193] In some embodiments, configuration information may be used to determine at least one of the uplink transmission behavior of first data and the uplink transmission behavior of second data; wherein the second data includes data related to measurement results obtained through measurement.

[0194] In some embodiments, configuration information may be used to indicate relevant configurations for prediction, which may be referred to as prediction configuration, AI-based measurement prediction configuration, or AI inference configuration.

[0195] In some embodiments, configuration information may be used to indicate the relevant configuration for a measurement, which may be referred to as measurement configuration.

[0196] In some embodiments, the prediction configuration and the measurement configuration can be sent to the terminal via the same message or via different messages.

[0197] In some embodiments, the first data may include a prediction result obtained by using a pre-deployed prediction model, based on the measured measurement result (i.e., the second data) and / or the previously predicted prediction result (i.e., the previous first data). The prediction model may be an AI- or ML-based prediction model. The first data obtained through prediction may also be represented as first data predicted by AI. The first data may include data related to the prediction result of the measurement result of the measured object (reference signal), such as at least one or more of signal strength, signal-to-noise ratio (SINR), frequency offset, delay, time delay, reference signal received power (RSRP), reference signal received quality (RSRQ), bit error rate, etc.

[0198] In the above embodiments, by configuring the uplink transmission behavior of the first data for the terminal, the terminal can clearly understand how to perform the reporting of the first data and / or the second data, thereby optimizing the terminal's data reporting behavior and improving the efficiency of data reporting.

[0199] In some embodiments, terminal 101 may perform prediction based on configuration information to obtain first data; and may perform uplink transmission of the first data based on configuration information.

[0200] In some embodiments, the terminal may perform measurements based on configuration information to obtain second data; and may perform uplink transmission of the second data based on configuration information.

[0201] In some embodiments, the terminal may perform measurement to obtain second data based on configuration information and perform prediction to obtain first data; and may perform uplink transmission of the first data and / or the second data based on configuration information.

[0202] In some embodiments, the network device can configure a priority threshold for the terminal to limit the priority of the reported first and / or second data. The priority threshold can be configured by configuration information or other messages, or it can be predefined by the protocol; no specific limitation is made here.

[0203] In some embodiments, the priority threshold may include at least one of the following: a first priority threshold, a second priority threshold, and a third priority threshold; wherein the first priority threshold is a priority threshold for the first data; the second priority threshold is a priority threshold for the second data; and the third priority threshold is a priority threshold for both the first data and the second data.

[0204] In some embodiments, the network device can configure a data volume threshold for the terminal to limit the amount of reported first and / or second data. The data volume threshold can be configured by configuration information or other messages, or it can be predefined by the protocol; no specific limitation is made here.

[0205] In some embodiments, the data volume threshold may be determined by the amount of data that the generated first information can carry and / or the maximum amount of data sent in a single transmission; wherein, the first information is the reporting information to be sent, such as a measurement report.

[0206] In some embodiments, the data volume threshold may include at least one of the following: a first data volume threshold, a second data volume threshold, and a third data volume threshold; wherein, the first data volume threshold may be used to limit the data volume of the first data; the second data volume threshold may be used to limit the data volume of the second data; and the third data volume threshold may be used to limit the data volume of both the first data and the second data.

[0207] In step S202, terminal 101 sends first information to network device 102.

[0208] The first information may include first data and / or second data.

[0209] In some embodiments, after obtaining the first data through prediction, the terminal can determine the priority of the first data and send the data with higher priority from the first data to the network device first.

[0210] In some embodiments, after obtaining the second data through measurement, the terminal can determine the priority of the second data; based on the priority, it can send the data with higher priority among the second data to the network device first.

[0211] In some embodiments, after obtaining the second data and the first data through measurement and prediction, the terminal can determine the priority of the first data and the second data; based on the priority, the terminal sends the data with higher priority among the first data and the second data to the network device first.

[0212] In some embodiments, after obtaining the first data through prediction, the terminal can determine the priority of the first data; based on the priority, it can send data in the first data whose priority is greater than a first priority threshold to the network device.

[0213] In some embodiments, after obtaining the second data through measurement, the terminal can determine the priority of the second data; based on the priority, it can send data in the second data whose priority is greater than a second priority threshold to the network device.

[0214] In some embodiments, after obtaining the second data and the first data through measurement and prediction, the terminal can determine the priority of the first data and the second data; based on the priority, it can send the data in the first data and the second data whose priority is greater than a third priority threshold to the network device.

[0215] Here, priority can also be called reporting priority. In this embodiment of the disclosure, priority can be a relative concept or correspond to an absolute value. Different situations correspond to different priority values. The priority values ​​corresponding to the first data and the second data in different situations can be specified by the protocol or configured by the network.

[0216] In some embodiments, determining the priority of the first data / second data includes one or more of the following:

[0217] The relative priority of different data in the first set of data, such as the order of priority;

[0218] The priority values ​​of different data in the first data are represented, for example, from high to low as {Level 1, Level 2, Level 3...};

[0219] The relative differences in priority between different data in the second data set, such as the order of priority;

[0220] The priority values ​​between different data in the second data are represented, for example, from high to low as {Level 1, Level 2, Level 3...};

[0221] The relative priority difference between the first and second data;

[0222] The relative priority difference between different data in the first and second data sets;

[0223] The priority values ​​of different data in the first and second data sets.

[0224] In some embodiments, as shown in FIG2A, step S202 sending the first information to the network device can be achieved by sending a measurement reporting message in step 1 of the LTM process; or by sending an L1 measurement report in step 5.

[0225] By prioritizing the first and / or second data, important data can be uploaded first, thereby improving the efficiency of network resource utilization and reducing network latency.

[0226] In some embodiments, regarding the priority between the first data and the second data, it can be determined that the priority of the first data is lower than the priority of the second data. After receiving the first data and the second data, the terminal can send the second data first.

[0227] For example, measurement results obtained through measurement have higher priority than prediction results obtained through prediction.

[0228] In some embodiments, the priority of the first data is lower than the priority of the second data, which may mean that the priority of the first data as a whole is lower than the priority of the second data as a whole.

[0229] In some embodiments, the priority of the first data is lower than that of the second data, which can mean that under the same conditions, the priority of the first data is lower than that of the second data. For example, the priority of the first data at the beam level is lower than that of the second data at the beam level, the priority of the first data at the cell level is lower than that of the second data at the cell level, but the priority of the first data at the cell level is higher than that of the second data at the beam level.

[0230] In some embodiments, the priority of each piece of data in the first data can be determined based on at least one of the following:

[0231] The first moment refers to the moment when the prediction of the first data takes effect; for example, the priority value of the data can be determined based on the time interval in which the first moment of the data falls.

[0232] The first time interval is the time interval between the first moment and the second moment. The first moment is the moment when the prediction of the first data takes effect, and the second moment is the moment when the prediction is executed. For example, the priority value of the data can be determined based on the interval range in which the first time interval of the data is located.

[0233] The second time interval is the time interval between the first moment and the third moment. The first moment is the moment when the prediction of the first data takes effect, and the third moment is the moment when the first information to be uploaded is generated or sent. Alternatively, the third moment can also be the current moment. For example, the priority value of the data can be determined based on the interval range in which the second time interval of the data is located.

[0234] The confidence value of the first data; where the confidence value can be used to indicate the reliability of the corresponding data, it can also be expressed as a confidence level, confidence coefficient, or confidence; for example, the priority of the data can be determined based on the data range in which the confidence value of the data is located.

[0235] The first data is at the cell level or beam level;

[0236] The first indicator is used to indicate the quality of the first data. The first indicator can be the value of the first data itself, or any value contained therein; for example, RSRP, RSRQ, SINR, etc.; for example, the priority value of the data can be determined based on the value range of the first indicator of the data.

[0237] Measurement events; wherein the measurement events may include a first measurement event for determining the priority of first data and / or a second measurement event for determining the priority of second data; the first measurement event and the second measurement event may be the same or different; for example, the priority value of the data may be determined based on whether the data satisfies the measurement event, or based on the time interval in which the measurement event is satisfied, or based on the type of measurement event satisfied.

[0238] In some embodiments, the measurement event includes at least one of the following:

[0239] Event LTM2: The beam of the serving cell becomes worse than the absolute threshold.

[0240] Event LTM3: The beam of the candidate cell becomes a certain amount of offset better than the beam of the serving cell.

[0241] Event LTM4: The beam of a candidate cell becomes better than the absolute threshold.

[0242] Event LTM5: The beam of the serving cell becomes worse than absolute threshold1, and the beam of the candidate cell becomes better than another absolute threshold2.

[0243] Event A1: Serving quality is better than the absolute threshold.

[0244] Event A2: Serving quality is worse than the absolute threshold.

[0245] Event A3: Neighbour becomes a certain amount of offset better than PCell / PSCell;

[0246] Event A4: Neighbour becomes better than absolute threshold;

[0247] -Event A5: PCell / PSCell becomes worse than absolute threshold1 AND Neighbour / SCell becomes better than another absolute threshold2;

[0248] Event A6: Neighbour becomes a certain amount of offset better than SCell.

[0249] The UE can determine the specific value itself or select a value based on the value given by the network device.

[0250] In some embodiments, the priority of each piece of data in the first data may be determined based on at least one of the following criteria:

[0251] Rule A11: Based on the first time of each data point, data with an earlier first time has a higher priority than data with a later first time. In other words, the earlier the first time, the higher the priority of the corresponding data. The terminal prioritizes reporting the data with the earliest first time among the first data points. For example, among the first data points, the fourth data point is at time t11, and the fifth data point is at time t12. If time t11 is earlier than time t12, the fourth data point has a higher priority than the fifth data point.

[0252] Rule A12: When the first time interval is later than the current time interval, the priority of data can be based on the first time interval between the first and second times. Data with a shorter first time interval has a higher priority than data with a longer first time interval. In other words, the shorter the first time interval, the higher the priority of the corresponding data. The terminal prioritizes reporting the data from the first data that is closest to the second time interval for prediction. For example, the first time interval d11 of the fourth data and the first time interval d12 of the fifth data in the first data; if the first time interval d11 is shorter than d12, the fourth data has a higher priority than the fifth data.

[0253] Rule A13: When the first time interval is later than the current time interval, the priority of data can be determined based on the second time interval between the first and third times intervals of each data point. Data with shorter second time intervals have higher priority than data with longer second time intervals. In other words, the shorter the second time interval, the higher the priority of the corresponding data. The terminal prioritizes reporting the data from the first data that is closest to the time when the first information was generated or sent, or the terminal prioritizes reporting the first data from the first time interval that is closest to the current time interval. For example, the second time interval d21 of the fourth data and the second time interval d22 of the fifth data in the first data; if the second time interval d21 is shorter than d22, the fourth data has higher priority than the fifth data.

[0254] For example, T0 is the current time, which can also be considered the second time when the prediction is performed. The first data obtained by the terminal prediction includes data 1, data 2, data 3, and data 4 of cell 1 with prediction times of T1, T2, T3, and T4, including RSRP / RSRQ / SINR. The order of each time is T0, T1, T2, T3, T4. The terminal can calculate the first time interval of each data, which is T1-T0 corresponding to data 1, T2-T0 corresponding to data 2, T3-T0 corresponding to data 3, and T4-T0 corresponding to data 4. Based on the length of the first time interval of each data, the priority of each data is determined from high to low as data 1 > data 2 > data 3 > data 4.

[0255] Rule A2: Based on the confidence value of each data point, data with higher confidence values ​​have higher priority than data with lower confidence values. In other words, the higher the confidence value, the higher the priority of the corresponding data. The terminal prioritizes reporting data with higher confidence values ​​from the first set of data. For example, in the first set of data, the confidence values ​​C1 and C2 of the fourth and fifth data points respectively; if C1 is higher than C2, the fourth data point has higher priority than the fifth data point.

[0256] Guideline A31: For cell-level and beam-level data, cell-level data may have a higher priority than beam-level data. That is, the terminal should prioritize reporting cell-level data in the first set of data. For example, if the fourth data in the first set is cell-level data and the fifth data is beam-level data, the fourth data has a higher priority than the fifth data.

[0257] Guideline A32: For cell-level and beam-level data, beam-level data has a higher priority than cell-level data. That is, the terminal prioritizes reporting beam-level data in the first set of data. For example, if the fourth data in the first set is cell-level data and the fifth data is beam-level data, the fifth data has a higher priority than the fourth data.

[0258] Guideline A33: Based on the first indicator, data with a better first indicator has a higher priority than data with a worse first indicator. That is, the terminal prioritizes reporting the N data points with the best first indicator among the first data points. For example, for RSRP, the terminal prioritizes reporting the N data points with the highest RSRP. Here, N can be determined by the network device through configuration information, or it can be determined based on the remaining reporting resources. For example, if the remaining reporting resources can support a maximum of 2 data points, then N is 2. For example, consider the first indicator B1 of the fourth data point and the first indicator B2 of the fifth data point in the first data point; if the first indicator B1 is better than B2, the fourth data point has a higher priority than the fifth data point.

[0259] Guideline A34: Data that satisfies the first measurement event has a higher priority than data that does not. In other words, the terminal prioritizes reporting data from the first set of data that satisfies the first measurement event. For example, if the fourth data in the first set of data satisfies the first measurement event while the fifth data does not, the fourth data has a higher priority than the fifth data.

[0260] Criterion A35: Among the data that satisfies the first measurement event, the data whose first measurement event occurs earlier has a higher priority than the data whose first measurement event occurs later. In other words, the terminal prioritizes reporting the data that satisfies the first measurement event earlier in the first set of data. For example, if the fourth data in the first set satisfies the first measurement event at t21 and the fifth data satisfies the first measurement event at t22, then if t21 is earlier than t22, the fourth data has a higher priority than the fifth data.

[0261] The first measurement event in the above criteria A33-A35 may include measurement events related to the first data or measurement events related to the cell, beam, etc. where the first data is located.

[0262] In some embodiments, satisfying the first measurement event in criteria A33-A35 above may include at least one of the following:

[0263] The first data satisfies the first measurement event;

[0264] The second data of the first cell satisfies the first measurement event, where the first cell is the cell associated with the first data, such as the cell where the first data is located;

[0265] The second data of the first beam satisfies the first measurement event, and the first beam is the beam associated with the first data, such as the beam corresponding to the first data;

[0266] The first data at time t5 satisfies the first measurement event; where time t5 is the current time.

[0267] The first data at time t6 satisfies the first measurement event; where time t6 is a historical time, for example, a historical time earlier or later than the current time.

[0268] The first data at time t7 satisfies the first measurement event; where time t7 is a future time.

[0269] Wherein, the second data that satisfies the first measurement event can be the measurement result used to predict the first data.

[0270] In some embodiments, satisfying the first measurement event can be satisfying the first measurement event at the current time or at a historical time.

[0271] In some embodiments, satisfying the first measurement event can be a prediction that the first measurement event will be satisfied in the future.

[0272] In some embodiments, satisfying the first measurement event may include at least one of the following: the second data of the first cell and / or the first beam satisfies the first measurement event; at least one of the first data at the fifth time, the sixth time, and the seventh time satisfies the first measurement event.

[0273] In some embodiments, for non-time-domain prediction, satisfying the first measurement event may include at least one of the following: the second data of the first cell and / or the first beam satisfies the first measurement event; at least one of the first data of the current time t5, the historical time t6, and the future time t7 satisfies the first measurement event.

[0274] In some embodiments, for time-domain prediction, satisfying the first measurement event may include at least one of the following: second data of the first cell and / or the first beam satisfying the first measurement event; predicting that a future time t7 will satisfy the first measurement event based on the second data of the current time t5 and / or the historical time t6; predicting that a future time later than t7 will satisfy the first measurement event based on the first data of a future time t7; or predicting that the first measurement event will be satisfied in the future based on the second data and the first data.

[0275] Furthermore, among the first data that satisfy the first measurement event, the first data that satisfies the first measurement event at an earlier time (trigger time) has a higher priority than the first data that satisfies the first measurement event at a later time.

[0276] In some embodiments, the priority of each piece of data in the second data can be determined based on at least one of the following:

[0277] The fourth time point is the measurement time of the second data point; for example, the priority value of the data can be determined based on the time interval in which the fourth time point of the data is located.

[0278] The confidence value of the second data; for example, the priority of the data can be determined based on the data range in which the confidence value of the data falls.

[0279] The second data is at the cell level or beam level;

[0280] The second indicator is used to indicate the quality of the second data; for example, the priority value of the data can be determined based on the numerical range in which the second indicator of the data is located.

[0281] The second measurement event.

[0282] In some embodiments, the priority of each piece of data in the second data may be determined based on at least one of the following criteria:

[0283] Rule B11: Based on the fourth time step of each data point, data with an earlier fourth time step has a higher priority than data with a later fourth time step. In other words, the earlier the fourth time step, the higher the priority of the corresponding data. The terminal prioritizes reporting the data with the earliest fourth time step in the second set of data. For example, in the second set of data, the sixth data point has a fourth time step t13, and the seventh data point has a fourth time step t14; if the fourth time step t13 is earlier than t14, the sixth data point has a higher priority than the seventh data point.

[0284] Rule B2: Based on the confidence value of each data point, data with higher confidence values ​​have higher priority than data with lower confidence values. In other words, the higher the confidence value, the higher the priority of the corresponding data. The terminal prioritizes reporting data with higher confidence values ​​from the second set of data. For example, in the second set of data, the confidence value of the sixth data point is C3, and the confidence value of the seventh data point is C4; if the confidence value C3 is higher than C4, the sixth data point has higher priority than the seventh data point.

[0285] Guideline B31: For cell-level and beam-level data, cell-level data may have a higher priority than beam-level data. That is, the terminal should prioritize reporting cell-level data in the second set of data. For example, if the sixth data point in the second set of data is cell-level data and the seventh data point is beam-level data, the sixth data point has a higher priority than the seventh data point.

[0286] Guideline B32: For cell-level and beam-level data, beam-level data has a higher priority than cell-level data. That is, the terminal prioritizes reporting beam-level data in the second set of data. For example, if the sixth data point in the second set of data is cell-level data and the seventh data point is beam-level data, the seventh data point has a higher priority than the sixth data point.

[0287] Criterion B33: Based on the second criterion, data with a better second criterion has a higher priority than data with a worse second criterion. That is, the terminal prioritizes reporting the M data points with the best second indication from the second data set. Here, M can be determined by the network device through configuration information or based on the remaining reporting resources. For example, consider the second criterion B3 for the sixth data point and the second criterion B4 for the seventh data point; if second criterion B3 is better than B4, the sixth data point has a higher priority than the seventh data point.

[0288] Criterion B34: The priority of second data that satisfies the second measurement event is higher than the priority of second data that does not satisfy the second measurement event;

[0289] Guideline B35: Among the data that satisfies the second measurement event, the data whose second measurement event occurs earlier has a higher priority than the data whose second measurement event occurs later. In other words, the terminal prioritizes reporting the data in the second set of data that satisfies the second measurement event earlier. For example, in the second set of data, the sixth data satisfies the second measurement event at t23 and the seventh data satisfies the second measurement event at t24; if t23 is earlier than t24, the sixth data has a higher priority than the seventh data.

[0290] The second measurement event in the aforementioned criteria B33-B35 may include measurement events related to the second data or measurement events related to the cell, beam, etc., where the second data is located.

[0291] In some embodiments, satisfying the second measurement event in criteria B33-B35 above may include at least one of the following:

[0292] The second data satisfies the second measurement event;

[0293] The first data of the second cell satisfies the second measurement event, and the second cell is the cell associated with the second data;

[0294] The first data of the second beam satisfies the second measurement event, and the second beam is the beam associated with the second data;

[0295] The first data at time t5 satisfies the second measurement event; where time t5 is the current time.

[0296] The first data at time t6 satisfies the second measurement event; where time t6 is a historical time, for example, a historical time earlier or later than the current time.

[0297] The first data at time t7 satisfies the second measurement event; where time t7 is a future time.

[0298] The second data that satisfies the second measurement event can be the first data predicted based on the second data.

[0299] In some embodiments, satisfying the second measurement event can be satisfying the second measurement event at the current time or at a historical time.

[0300] In some embodiments, satisfying the second measurement event can be a prediction that the second measurement event will be satisfied in the future.

[0301] In some embodiments, satisfying the second measurement event may include at least one of the following: the first data of the second cell and / or the second beam satisfies the second measurement event; at least one of the first data at the fifth time, the sixth time, and the seventh time satisfies the second measurement event.

[0302] By prioritizing first and second data based on multiple dimensions, the importance of data can be assessed more accurately, network transmission can be optimized, and more flexible and dynamic decisions can be made in complex network environments, thereby improving the efficiency and reliability of the overall system.

[0303] In some embodiments, the network device can configure a method for determining the priority of the first data and / or the second data for the terminal. Specifically, this can be configured through the configuration information in step S201 or through other messages. No specific limitation is made here, but for the sake of simplicity, the following embodiments will use configuration information as an example for illustration.

[0304] In some embodiments, the configuration information sent by the network device to the terminal in step S201 may include first configuration information, which may be used to determine the priority of each data in the first data and / or the priority of each data in the second data.

[0305] In some embodiments, the terminal may determine the priority of each piece of data in the first data and / or the priority of each piece of data in the second data based on the first configuration information.

[0306] In some embodiments, the first configuration information may include at least one of the following: cell, frequency point, beam, prediction function, and prediction scenario.

[0307] The prediction function can be the function of the prediction model used when performing the prediction, or the function targeted by the first data obtained from the prediction; the prediction scenario can be the application scenario of the prediction model used when performing the prediction, or the application scenario targeted by the first data obtained from the prediction, such as time domain prediction, frequency domain prediction, etc.

[0308] In some embodiments, the network device can configure different priorities for different cells using first configuration information. The cells may include a first cell and / or a second cell; the first cell may be the cell performing the prediction or the cell to be predicted.

[0309] Accordingly, the terminal can determine different priorities for each piece of data in the first data and / or the second data based on the differences between the first cell and / or the second cell.

[0310] In some embodiments, network devices can configure different priorities for different frequency points using first configuration information.

[0311] Accordingly, the terminal can determine different priorities for each piece of data in the first data and / or each piece of data in the second data based on the different frequency points of the first data and / or the second data.

[0312] In some embodiments, the network device can configure different priorities for different beams using first configuration information. The beams may include a first beam and / or a second beam.

[0313] Accordingly, the terminal can determine different priorities for each piece of data in the first data and / or the second data based on the difference between the first beam and / or the second beam.

[0314] In some embodiments, the network device may configure different priorities for different prediction functions using first configuration information.

[0315] Accordingly, the terminal can determine different priorities for each piece of data in the first and / or second data based on the different prediction functions used when making predictions.

[0316] In some embodiments, the network device can configure different priorities for different prediction scenarios using first configuration information.

[0317] Accordingly, the terminal can determine different priorities for each piece of data in the first data and / or the second data based on the different prediction scenarios during prediction. For example, if the network device is configured to give higher priority to the time-domain predicted data than the frequency-domain predicted data in the first data, then the terminal will prioritize sending the time-domain predicted data if the first data includes both time-domain and frequency-domain predicted data.

[0318] By configuring the priority of the first and / or second data for the terminal through network devices, the accuracy of data processing and the flexibility of priority scheduling can be further improved.

[0319] In some embodiments, after obtaining the first data, the terminal may first determine whether the total amount of the first data exceeds the first data volume threshold; if it is determined that the total amount of the first data exceeds the first data volume threshold, then based on priority, the data with higher priority in the first data needs to be sent first; otherwise, all the first data can be sent at once.

[0320] In some embodiments, after receiving the second data, the terminal may first determine whether the total amount of the second data exceeds the second data volume threshold; if it is determined that the total amount of the second data exceeds the second data volume threshold, then based on priority, the data with higher priority in the second data needs to be sent first; otherwise, all the second data can be sent at once.

[0321] In some embodiments, after the terminal obtains the first data and the second data, it can first determine whether the total amount of the first data and the second data exceeds the third data amount threshold. If it is determined that the total amount of the first data and the second data exceeds the third data amount threshold, it is necessary to send the data with higher priority among the first data and the second data based on priority. Otherwise, all the first data and the second data can be sent at once.

[0322] In some embodiments, the data volume threshold may be configured by the network device or determined based on a protocol.

[0323] In some embodiments, the data volume threshold can be the amount of data that the generated first information can carry or contain; wherein, the first information is the reporting information to be sent, such as a measurement report to be sent.

[0324] In some embodiments, when the amount of data that the first information can carry is limited, the terminal can send the data with higher priority from the first data and / or the second data through the first information.

[0325] In some embodiments, when it is determined that the total amount of the first data exceeds the amount of data that the first information can carry, the terminal may determine the third data contained in the first information from the first data based on priority, that is, determine the data with higher priority in the first data as the third data, until the amount of the third data reaches or approaches the amount of data that the first information can carry, that is, reaches or approaches the first data amount threshold; the terminal sends the first information to the network device, wherein the first information includes the third data.

[0326] In some embodiments, when it is determined that the total amount of the second data exceeds the amount of data that the first information can carry, the terminal may determine the third data contained in the first information from the second data based on priority, that is, determine the data with higher priority in the second data as the third data, until the amount of the third data reaches or approaches the amount of data that the first information can carry, that is, reaches or approaches the second data amount threshold; the terminal sends the first information to the network device, wherein the first information includes the third data.

[0327] In some embodiments, when it is determined that the total amount of the first data and the second data exceeds the amount of data that the first information can carry, the terminal may determine the third data contained in the first information from the first data and the second data based on priority, that is, determine the data with higher priority in the first data and the second data as the third data, until the amount of the third data reaches or approaches the amount of data that the first information can carry, that is, reaches or approaches the third data amount threshold; the terminal sends the first information to the network device, wherein the first information includes the third data.

[0328] In some embodiments, the data volume threshold can be the maximum data volume sent in a single transmission, such as the data volume that a single uplink scheduling resource can carry.

[0329] In some embodiments, where the maximum amount of data transmitted in a single transmission is limited, the terminal may report all the first data and / or the second data by transmitting multiple times.

[0330] In some embodiments, if the total amount of the first data exceeds the maximum amount of data to be sent in a single transmission, the terminal may send the first data in multiple transmissions in descending order of priority; wherein the amount of data sent in each transmission may be less than or equal to the maximum amount of data to be sent in a single transmission. For example, the first data may be sent in multiple transmissions in descending order of priority based on the maximum amount of data to be sent in a single transmission until all data has been sent.

[0331] In some embodiments, if the total amount of the second data exceeds the maximum amount of data to be sent in a single transmission, the terminal may send the second data in multiple transmissions in descending order of priority; wherein the amount of data sent each time may be less than or equal to the maximum amount of data to be sent in a single transmission. For example, the second data may be sent in multiple transmissions in descending order of priority based on the maximum amount of data to be sent in a single transmission until all data has been sent.

[0332] In some embodiments, if the total amount of the first data and the second data exceeds the maximum amount of data to be sent in a single transmission, the terminal may send the first data and the second data multiple times in descending order of priority; wherein the amount of data sent each time may be less than or equal to the maximum amount of data to be sent in a single transmission. For example, the first data and the second data may be sent multiple times in descending order of priority based on the maximum amount of data to be sent in a single transmission until all data is sent.

[0333] In some embodiments, first data and / or second data may be sent to the network device in at least one of a first report, a second report, and a third report, wherein the first report is a report for transmitting the first data, and may also be called a prediction report; the second report is a report for transmitting the second data, and may also be called a measurement report; and the third report is a report for transmitting the first data and the second data.

[0334] For example, if, based on priority, the third data determined from the first data and / or the second data is all first data, it can be sent to the network device in the form of a first report; if, based on priority, the third data determined from the first data and / or the second data is all second data, it can be sent to the network device in the form of a second report; if, based on priority, the third data determined from the first data and / or the second data includes both the first data and the second data, it can be sent to the network device in the form of a third report.

[0335] In some embodiments, the first information may be sent to the network device in the form of at least one of a first report, a second report, and a third report, including first data and / or second data.

[0336] In some embodiments, a first report may be used to send first data and / or second data.

[0337] In some embodiments, a second report may be used to send the first data and / or the second data.

[0338] In some embodiments, a third report may be used to send the first data and / or the second data.

[0339] In some embodiments, the first data and / or second data sent by the terminal to the network device may be carried by at least one of the following messages: Uplink Control Information (UCI); Medium Access Control Control Element (MAC CE); Radio Resource Control (RRC) message, etc.

[0340] In some embodiments, the first information may be sent to the network device via at least one of UCI, MAC CE, and RRC messages.

[0341] By setting preset data volume thresholds and priorities, the amount of data sent first can be dynamically adjusted, which can effectively avoid network congestion and ensure that high-priority data can be uploaded in a timely manner.

[0342] In some embodiments, the network device can configure a priority threshold for the terminal. Specifically, this can be configured through the configuration information in step S201, or through other messages, or the priority threshold can be predefined by the protocol; no specific limitation is made here.

[0343] After determining the priority of the first data and / or the second data, the terminal may send the data with a priority higher than the priority threshold from the first data and / or the second data to the network device; or it may preferentially send the data with a priority higher than the priority threshold from the first data and / or the second data to the network device.

[0344] In some embodiments, after determining the priority of the first data and / or the second data, the network device may first identify the first data and / or the second data with a priority higher than the priority threshold. If the number of the first data and / or the second data with a priority higher than the priority threshold is less than or equal to the data volume threshold, all the first data and / or the second data with a priority higher than the priority threshold can be sent to the network device as third data at once via the first information. If the number of the first data and / or the second data with a priority higher than the priority threshold exceeds the data volume threshold, then it is necessary to further determine the third data from the first data and / or the second data with a priority higher than the priority threshold based on the priority, and send it to the network device via the first information.

[0345] In some embodiments, the prediction in the above embodiments can be a time-domain prediction, and the first data obtained may include data related to the prediction result obtained through time-domain prediction; prediction based on a prediction model is a time-domain prediction based on a prediction model; and prediction based on AI is a time-domain prediction based on AI. Specifically, it may include at least one of the following two cases:

[0346] Case A: Predicting future data based on second data from the current time and / or historical time.

[0347] In Case B, the first data is predicted intermittently and used as the true second data.

[0348] In some embodiments, the prediction in the above embodiments can be a spatial prediction, and the first data obtained can include data related to the prediction result obtained through spatial prediction; prediction based on a prediction model is a spatial prediction based on a prediction model; prediction based on AI is a spatial prediction based on AI. For example, the first data of cell 2 or beam 2 is predicted based on the second data of cell 1 or beam 1.

[0349] In some embodiments, the prediction in the above embodiments can be frequency domain prediction, and the first data obtained can include data related to the prediction result obtained through frequency domain prediction; prediction based on a prediction model is frequency domain prediction based on a prediction model; prediction based on AI is frequency domain prediction based on AI. For example, the first data at frequency point 2 is predicted based on the second data at frequency point 1.

[0350] In some embodiments, the prediction in the above embodiments can be any one or more combinations of time-domain prediction, spatial-domain prediction, and frequency-domain prediction. For example, first data in cell 2 or beam 2 at frequency 2 can be predicted based on second data in cell 1 or beam 1 at frequency 1.

[0351] In some embodiments, the predictions in the above embodiments may include: predictions for layer 1 measurements and / or predictions for layer 3 measurements.

[0352] Among them, Layer 1 measurement can be referred to as: L1 measurement, LTM measurement, beam measurement, L2 measurement, L1 / L2 measurement, L1 LTM measurement, etc.

[0353] Among them, Layer 3 measurement can be referred to as: L3 measurement, RRM measurement, cell measurement, etc., any one or more of them.

[0354] In some embodiments, the mobility process described above can be any one or more of L3 handover, L1 handover, CHO, LTM, Conditional LTM, CPA, CPC, Subsequent LTM, Subsequent CPAC, and Subsequent Conditional LTM. AI can be used to improve the performance of these mobility processes.

[0355] Mobility includes any one or more mobility operations based on network configuration; for example, the network side pre-configures the mobility corresponding to the candidate cell (or cell group) and configures the corresponding mobility operation, including mobility triggered based on PHY, MAC CE, RRC, and / or mobility triggered based on measurement events (L1 / L2 events, and / or RRM events).

[0356] In some embodiments, the beam can also be represented by a TCI state.

[0357] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0358] In some embodiments, the terms "codebook," "codeword," and "precoding matrix" can be used interchangeably. For example, a codebook can be a collection of one or more codewords / precoding matrices.

[0359] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0360] In some embodiments, the terms “downlink control information (DCI),” “downlink (DL) assignment,” “DL DCI,” “uplink (UL) grant,” and “UL DCI” can be used interchangeably.

[0361] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, as can terms such as "physical uplink shared channel (PUSCH)" and "UL data".

[0362] In some embodiments, the terms “radio”, “wireless”, “radio access network (RAN)”, “access network (AN)”, and “RAN-based” can be used interchangeably.

[0363] In some embodiments, the terms "search space", "search space set", "search space configuration", "search space set configuration", "control resource set (CORESET)", and "CORESET configuration" can be used interchangeably.

[0364] In some embodiments, the terms "synchronization signal (SS)," "synchronization signal block (SSB)," "reference signal (RS)," "pilot," and "pilot signal" can be used interchangeably.

[0365] In some embodiments, terms such as “moment,” “point in time,” “time,” and “time location” can be used interchangeably, as can terms such as “duration,” “segment,” “time window,” “window,” and “time.”

[0366] In some embodiments, the terms "component carrier (CC)," "cell," "frequency carrier," and "carrier frequency" can be used interchangeably.

[0367] In some embodiments, the terms “resource block (RB)”, “physical resource block (PRB)”, “sub-carrier group (SCG)”, “resource element group (REG)”, “PRB pair”, “RB pair”, “resource element (RE)”, and “sub-carrier” can be used interchangeably.

[0368] In some embodiments, terms such as wireless access scheme and waveform can be used interchangeably.

[0369] In some embodiments, the terms "precoding", "precoder", "weight", "precoding weight", "quasi-co-location (QCL)", "transmission configuration indication (TCI) status", "spatial relation", "spatial domain filter", "transmission power", "phase rotation", "antenna port", "antenna port group", "layer", "the number of layers", "rank", "resource", "resource set", "resource group", "beam", "beam width", "beam angular degree", "antenna", "antenna element", and "panel" can be used interchangeably.

[0370] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, and “transmission time interval (TTI)” can be used interchangeably.

[0371] In some embodiments, "acquire," "get," "obtain," "receive," "transmit," "bidirectional transmission," and "send and / or receive" can be used interchangeably and can be interpreted as receiving from other entities, acquiring from protocols, acquiring from higher layers, obtaining through self-processing, or autonomous implementation. Protocols include, for example, at least one of the 3GPP protocol, Wi-Fi protocol, and audio and / or video protocols.

[0372] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0373] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0374] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0375] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data and / or instructions received; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0376] The communication method involved in the embodiments of this disclosure may include at least one of steps S201 to S202. For example, step S201 may be implemented as a standalone embodiment, step S202 may be implemented as a standalone embodiment, and step S201+S202 may be implemented as a standalone embodiment, but is not limited thereto.

[0377] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0378] In some embodiments, the terminal UE performs measurement prediction based on the configuration of the network device and sends the prediction results (first data) and / or measurement results (second data) to the network device. If a measurement report cannot contain all the measurement results and prediction results, the UE determines the content of the measurement results and prediction results to be reported first based on the following criteria.

[0379] For both measurement results and prediction results, the UE prioritizes reporting the measurement results obtained from actual measurements.

[0380] For time-domain prediction, the UE prioritizes reporting measurement results whose predicted time is closest to the current time.

[0381] Regarding the reporting priority of prediction results:

[0382] The UE prioritizes reporting the prediction results of cells / beams that meet the measurement event.

[0383] The UE sorts the predicted values ​​and prioritizes reporting cells / beams with higher predicted values.

[0384] UEs prioritize reporting prediction results with high confidence values.

[0385] Additional notes: Each of the following items, such as x, xy, xyz, xyzq, xyzql, can be used independently as an embodiment or implementation method (where x, y, z, q, l are arbitrary integers).

[0386] 1. The UE receives the prediction configuration (AI-based measurement prediction configuration, or AI inference configuration) and / or measurement configuration sent by the network device (the measurement configuration and prediction configuration can be sent to the UE through the same message or through different messages). The UE initiates AI prediction, obtains the prediction results, and performs prediction result reporting based on the prediction configuration and / or measurement configuration.

[0387] 2. In step 1, the UE sends measurement results and / or prediction results to the network device via a measurement report / prediction report. This measurement report can be sent to the network device via UCI, MAC CE, and / or RRC.

[0388] 3. The UE determines the reporting priority of measurement results and / or prediction results, and prioritizes reporting measurement results and / or prediction results with higher priority.

[0389] 4. Based on point 3, the priority of (real) measurement results is higher than that of predicted results, and the UE prioritizes reporting real measurement results.

[0390] 5. Based on point 3, the reporting priority of prediction results can be determined based on the following criteria:

[0391] 5.1 Criterion 1: For prediction results of future times, the UE shall prioritize reporting the prediction results of the time closest to the first time. The first time can be the time when the UE performs the corresponding prediction (second time) and / or the time when the UE generates (sends) the measurement report (third time).

[0392] For example, if T0 is the current time, which is the time when AI prediction is performed, and the UE predicts the RSRP / RSRQ / SINR of cell 1 at times T1, T2, T3, and T4, then the reporting priority is T0>T1>T2>T3>T4.

[0393] The order of time is: T0 T1 T2 T3 T4.

[0394] 5.2 Criterion 2: Different prediction results correspond to different confidence values ​​(confidence value, confidence level, confidence coefficient, or confidence), with higher confidence levels having higher priority. Prediction results with higher confidence values ​​should be included in the measurement report first.

[0395] 5.3 Criterion 3: Determine reporting priority based on prediction results.

[0396] 5.3.1 For cell-level and beam-level prediction results, the reported cell-level prediction results are higher than the beam-level prediction results; or the reported beam-level prediction results are higher than the cell-level prediction results.

[0397] 5.3.2 Prioritize reporting the top N prediction results with the best prediction results. N can be configured by the network or determined based on the remaining reporting resources.

[0398] 5.3.3 The reporting priority of prediction results for measured events is higher than that of prediction results for unmet measured events.

[0399] 5.3.3.1 The measurement event can include the following cases:

[0400] 5.3.3.1.1 For non-time domain prediction: A measurement event is satisfied when the measurement result of the cell (or beam) or the prediction result (at the current time and at historical time) satisfies the measurement event.

[0401] 5.3.3.1.2 For time-domain prediction:

[0402] 5.3.3.1.2.1 Satisfying a measurement event means that the measurement results of the cell (or beam) satisfy the measurement event; and / or

[0403] 5.3.3.1.2.2 Based on future predictions and / or (current and historical) measurement results, it is possible to predict when a measurement event will be met in the future; the closer the predicted time of meeting the measurement is to the first moment, the higher the priority.

[0404] For the method described in 5.3, if the priority of measurement results and / or prediction results is consistent, then the reporting priority of mixed measurement results and prediction results can also be determined based on the scheme described in 5.3.

[0405] 5.4 Criterion 4: Determining Reporting Priority Based on Network Device Configuration. The UE determines the content of the reporting priority measurement report based on network device configuration as follows:

[0406] 5.4.1 Network devices can be configured with different reporting priorities for different cells / frequency points / beams to be predicted;

[0407] 5.4.2 Network devices can be configured with different reporting priorities for different prediction functions;

[0408] 5.4.3 Network devices are configured with different reporting priorities for different prediction scenarios. For example, prediction results of time domain prediction are reported first, and then prediction results of frequency domain prediction are reported later.

[0409] In sections 4 and 5, the reporting priority can be a relative probability or an absolute value. Different priority values ​​correspond to different situations. The priority values ​​corresponding to the measurement results / prediction results in different situations can be specified by the protocol or configured by the network.

[0410] 6. Based on 3.3, the UE prioritizes reporting measurement results and / or prediction results with higher priority, including any one or more of the following:

[0411] 6.1 If the measurement report has a limited capacity for data, the UE shall prioritize including high-priority measurement results and / or prediction results in the measurement report until the measurement report reaches its maximum capacity for data.

[0412] 6.2 If the resources for a single uplink scheduling are limited, meaning that all measurement results and prediction results can be sent through multiple measurement report messages, then the UE sends the measurement results and / or prediction results to the network in the order of reporting priority until all the measurement results and / or prediction results to be reported are transmitted.

[0413] 6.3 In addition, network devices or protocols can be configured with specific threshold values ​​(priority thresholds), and the UE will only report measurement results with a priority greater than the specific threshold value.

[0414] Among them, AI-based measurement result prediction includes:

[0415] AI-based time-domain measurement prediction includes intermittently predicting measurement results and using them as actual measurement results (case B), and / or predicting future measurement results based on current and / or historical measurement results (case A); AI-based spatial-domain prediction, for example, predicting the measurement results of cell 2 / beam 2 based on the measurement results of cell 1 / beam 1; AI-based frequency prediction, for example, predicting the measurement results of cell 2 / beam 2 at frequency 2 based on the measurement results of cell 1 / beam 1 at frequency 1. Furthermore, hybrid prediction can be considered, which may involve simultaneously performing time-domain and spatial-domain prediction, or time-domain and frequency-domain prediction.

[0416] The AI-based measurement result prediction can include predictions for L1 measurements and / or predictions for L3 measurements:

[0417] L1 measurement can be referred to as: L1 measurement, LTM measurement, beam measurement configuration, L2 measurement, L1 / L2 measurement, L1 LTM measurement, etc., any one or more of these.

[0418] L3 measurement can be referred to as: L3 measurement, RRM measurement, cell measurement, etc.

[0419] The mobility processes described in this disclosure can be any one or more of L3 handover, L1 handover, CHO, LTM, Conditional LTM, CPA, CPC, Subsequent LTM, Subsequent CPAC, and Subsequent Conditional LTM. AI can be used to improve the performance of these mobility processes.

[0420] Mobility includes any one or more mobility operations based on network configuration; for example, the network side pre-configures the mobility corresponding to the candidate cell (or cell group) and configures the corresponding mobility operation, including mobility triggered based on PHY, MAC CE, RRC, and / or mobility triggered based on measurement events (L1 / L2 events, and / or RRM events).

[0421] In some embodiments, the beam can also be represented by the TCI state, which will be uniformly referred to as the beam below.

[0422] This disclosure also proposes an apparatus (also referred to as a communication device, etc.) for implementing any of the above methods. For example, an apparatus is proposed that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Furthermore, another apparatus is proposed that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0423] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0424] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0425] Figure 3A is a schematic diagram of the structure of a terminal proposed in an embodiment of this disclosure. Terminal 3100 is used to execute any of the above methods. In some embodiments, as shown in Figure 3A, terminal 3100 may include at least one of a transceiver module 3101, a processing module 3102, etc. In some embodiments, the transceiver module is used to receive configuration information; the processing module is used to determine uplink transmission behavior for first data based on the configuration information, the first data including data related to prediction results obtained through prediction. Optionally, the transceiver module is used to execute at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) performed by terminal 101 in any of the above methods, which will not be elaborated here. Optionally, the processing module is used to execute at least one of the other steps performed by terminal 101 in any of the above methods, which will not be elaborated here.

[0426] Figure 3B is a schematic diagram of the structure of a network device proposed in an embodiment of this disclosure. Network device 3200 is used to execute any of the above methods. In some embodiments, as shown in Figure 3B, network device 3200 may include at least one of a transceiver module 3201, a processing module 2302, etc. In some embodiments, the processing module is used to determine configuration information, which is used to determine uplink transmission behavior for first data, the first data including data related to prediction results obtained through prediction; the transceiver module is used to send the configuration information. Optionally, the transceiver module is used to execute at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) performed by network device 102 in any of the above methods, which will not be elaborated here. Optionally, the processing module is used to execute at least one of the other steps performed by terminal 101 in any of the above methods, which will not be elaborated here.

[0427] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0428] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0429] In some embodiments, the processing module can be replaced by the processor, and the transceiver module can be replaced by the transceiver.

[0430] Figure 4A is a schematic diagram of the structure of the communication device 4100 proposed in an embodiment of this disclosure. The communication device 4100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 4100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0431] As shown in Figure 4A, the communication device 4100 is used to execute any of the above methods. In some embodiments, the communication device 4100 includes one or more processors 4101. The processor 4101 may be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 4100 is used to execute any of the above methods. Optionally, one or more processors 4101 are used to invoke instructions to cause the communication device 4100 to execute any of the above methods.

[0432] In some embodiments, the communication device 4100 further includes one or more transceivers 4102. When the communication device 4100 includes one or more transceivers 4102, the transceiver 4102 performs at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) in the above method, such as sending and / or receiving, and the processor 4101 performs at least one of the other steps. In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, sending unit, transmitter, sending circuit, etc., can be used interchangeably; the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0433] In some embodiments, the communication device 4100 further includes one or more memories 4103 for storing data and / or instructions. Optionally, one or more processors 4101 are used to invoke instructions stored in the memory 4103 to cause the communication device 4100 to perform any of the above methods. Optionally, all or part of the memory 4103 may also be located outside the communication device 4100. In an optional embodiment, the communication device 4100 may include one or more interface circuits 4104. Optionally, the interface circuit 4104 is connected to the memory 4102 and can be used to receive data and / or instructions from the memory 4102 or other devices, and can be used to send data and / or instructions to the memory 4102 or other devices. For example, the interface circuit 4104 can read data and / or instructions stored in the memory 4102 and send the data and / or instructions to the processor 4101.

[0434] The communication device 4100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 4100 described in this disclosure is not limited thereto, and the structure of the communication device 4100 may not be limited by FIG4A. The communication device may be a standalone device or may be part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data, programs and / or instructions; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0435] Figure 4B is a schematic diagram of the structure of chip 4200 according to an embodiment of this disclosure. For cases where the communication device 4100 can be a chip or a chip system, please refer to the schematic diagram of chip 4200 shown in Figure 4B, but it is not limited thereto.

[0436] Chip 4200 includes one or more processors 4201. Chip 4200 is used to perform any of the above methods.

[0437] In some embodiments, chip 4200 further includes one or more interface circuits 4202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 4200 further includes one or more memories 4203 for storing data and / or instructions. Optionally, all or part of the memories 4203 may be located outside of chip 4200. Optionally, interface circuit 4202 is connected to memory 4203, and interface circuit 4202 can be used to receive data and / or instructions from memory 4203 or other devices, and interface circuit 4202 can be used to send data and / or instructions to memory 6203 or other devices. For example, interface circuit 6202 can read data and / or instructions stored in memory 6203 and send the data and / or instructions to processor 6201.

[0438] In some embodiments, the interface circuit 6202 performs at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) in the above-described method, such as sending and / or receiving. For example, the interface circuit 6202 performing the communication steps in the above-described method means that the interface circuit 6202 performs data and / or instruction interaction between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of the other steps.

[0439] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0440] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0441] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by a communication device, cause the communication device to perform any of the above methods. Optionally, the program product is a computer program product. Optionally, the program product is stored on the storage medium.

[0442] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A method for reporting measurement results, executed by a terminal, characterized in that, The method includes: Receive configuration information, which is used to determine the uplink transmission behavior of first data, the first data including data related to the prediction results obtained through prediction.

2. The method according to claim 1, characterized in that, The method further includes: Determine the priority of the data in the first data set; Send the data with the higher priority from the first set of data.

3. The method according to claim 2, characterized in that, The method further includes: Determine the priority of the data in the second data; wherein, the second data includes data related to measurement results obtained through measurement; Send the data with higher priority from the first data and / or the second data.

4. The method according to claim 1, characterized in that, The first data has a lower priority than the second data; wherein, the second data includes data related to measurement results obtained through measurement.

5. The method according to any one of claims 2-4, characterized in that, Determining the priority of data in the first data and / or the priority of data in the second data includes: The priority of the data in the first data and / or the priority of the data in the second data are determined based on at least one of the following: The first moment is the moment when the prediction based on the first data takes effect; The first time interval is the time interval between the first moment and the second moment, where the first moment is the moment when the prediction of the first data takes effect, and the second moment is the moment when the prediction is executed; The second time interval is the time interval between the first time and the third time, the first time is the time when the prediction of the first data takes effect, and the third time is the time when the first information to be uploaded is generated or sent. The fourth time point is the measurement time of the second data; Confidence value, which is used to indicate the reliability of the data; The first data is at the cell level or beam level; The second data is at the cell level or beam level; The first indicator is used to indicate the quality of the first data. The second indicator is used to indicate the quality of the second data. The first measurement event; wherein the first measurement event includes measurement events related to the first data; The second measurement event; wherein the second measurement event includes measurement events related to the second data.

6. The method according to claim 5, characterized in that, Determining the priority of data in the first data includes: Based on at least one of the following criteria, the fourth data in the first data is determined to have a higher priority than the fifth data: The first moment of the fourth data is earlier than the first moment of the fifth data; The first time interval of the fourth data is shorter than the first time interval of the fifth data; The second time interval of the fourth data is shorter than the second time interval of the fifth data; The confidence value of the fourth data is higher than the confidence value of the fifth data; The fourth data is the first data at the cell level, and the fifth data is the first data at the beam level; The fourth data is the first data at the beam level, and the fifth data is the first data at the cell level; The first indicator of the fourth data is better than the first indicator of the fifth data; The fourth data satisfies the first measurement event, while the fifth data does not satisfy the first measurement event; The occurrence time of the first measurement event satisfied by the fourth data is earlier than the occurrence time of the first measurement event satisfied by the fifth data.

7. The method according to claim 5, characterized in that, Determining the priority of the data in the second data includes: Based on at least one of the following criteria, the sixth data in the second data is determined to have a higher priority than the seventh data: The fourth moment of the sixth data is earlier than the fourth moment of the seventh data; The confidence value of the sixth data is higher than the confidence value of the seventh data; The sixth data is the second data at the cell level, and the seventh data is the second data at the beam level; The sixth data is the second data at the beam level, and the seventh data is the second data at the cell level; The second indicator of the sixth data is better than the second indicator of the seventh data; The sixth data satisfies the second measurement event, while the seventh data does not satisfy the second measurement event; The occurrence time of the second measurement event satisfied by the sixth data is earlier than the occurrence time of the second measurement event satisfied by the seventh data.

8. The method according to claim 6, characterized in that, The first measurement event includes at least one of the following: The second data of the first cell satisfies the first measurement event; wherein, the first cell is the cell associated with the first data; The second data of the first beam satisfies the first measurement event; wherein, the first beam is the beam associated with the first data; The first data at the fifth moment satisfies the first measurement event; wherein, the fifth moment is the current moment; The first data at the sixth moment satisfies the first measurement event; wherein, the sixth moment is a historical moment; The first data at the seventh moment satisfies the first measurement event; wherein, the seventh moment is a future moment.

9. The method according to any one of claims 1-8, characterized in that, The configuration information includes first configuration information, which is used to determine the priority of data in the first data and / or the priority of data in the second data.

10. The method according to claim 9, characterized in that, The first configuration information includes at least one of the following: residential community; Frequency point; Beam; Predictive capabilities; Predicting scenarios.

11. The method according to any one of claims 2-10, characterized in that, The step of sending the higher-priority data from the first data and / or the second data includes: It is determined that the total amount of the first data and / or the second data exceeds a data volume threshold; Send the data with higher priority from the first data and / or the second data.

12. The method according to claim 11, characterized in that, The data volume threshold is determined by at least one of the following: The first information carries the amount of data; the first information is the reporting information to be sent. Maximum data size sent in a single transaction; Network equipment configuration.

13. The method according to claim 11 or 12, characterized in that, The step of sending the higher-priority data from the first data and / or the second data includes: According to the priority order, the data in the first data and / or the second data are determined as the third data in turn, until the amount of the third data reaches the data amount threshold; Send a first message, which includes the third data.

14. The method according to claim 11 or 12, characterized in that, The step of sending the higher-priority data from the first data and / or the second data includes: Based on the priority level, the first data and / or the second data are sent in descending order; wherein the amount of data sent each time is less than or equal to the data amount threshold.

15. The method according to claim 11 or 12, characterized in that, The configuration information is also used to determine priority thresholds; The step of sending the higher-priority data from the first data and / or the second data includes: Send the data in the first data and / or the second data whose priority is higher than the priority threshold.

16. The method according to any one of claims 1-15, characterized in that, The first data includes at least one of the following: Data related to the prediction results obtained through time-domain prediction; Data related to the prediction results obtained through spatial domain prediction; Data related to the prediction results obtained through frequency domain prediction.

17. The method according to any one of claims 1-16, characterized in that, The prediction results obtained through prediction include: Prediction results obtained from predictions based on measurements of layer 1; and / or The prediction results are obtained from the predictions based on the layer 3 measurements.

18. A method for reporting measurement results, executed by a network device, characterized in that, The method includes: Send configuration information, which is used to determine the uplink transmission behavior of the first data, the first data including data related to the prediction results obtained through prediction.

19. The method according to claim 18, characterized in that, The method further includes: Receive the higher priority data from the first data and / or the second data; wherein, the second data is data related to the measurement results obtained from the measurement.

20. The method according to claim 19, characterized in that, The priority of the first data is lower than that of the second data.

21. The method according to claim 19 or 20, characterized in that, The priority of the data in the first data and / or the priority of the data in the second data are determined based on at least one of the following: The first moment is the moment when the prediction based on the first data takes effect; The first time interval is the time interval between the first moment and the second moment, where the first moment is the moment when the prediction of the first data takes effect, and the second moment is the moment when the prediction is executed; The second time interval is the time interval between the first time and the third time, the first time is the time when the prediction of the first data takes effect, and the third time is the time when the first information to be uploaded is generated or sent. The fourth time point is the measurement time of the second data; Confidence value, which is used to indicate the reliability of the data; The first data is at the cell level or beam level; The second data is at the cell level or beam level; The first indicator is used to indicate the quality of the first data. The second indicator is used to indicate the quality of the second data. The first measurement event; wherein the first measurement event includes measurement events related to the first data; The second measurement event; wherein the second measurement event includes measurement events related to the second data.

22. The method according to claim 21, characterized in that, The priority between the fourth and fifth data in the first data is determined based on at least one of the following criteria: The first moment of the fourth data is earlier than the first moment of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data. The first time interval of the fourth data is shorter than the first time interval of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data. The second time interval of the fourth data is shorter than the second time interval of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data. The confidence value of the fourth data is higher than the confidence value of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data; The fourth data is the first data at the cell level, and the fifth data is the first data at the beam level. The fourth data has a higher priority than the fifth data. The fourth data is the first data at the beam level, and the fifth data is the first data at the cell level. The fourth data has a higher priority than the fifth data. The first indicator of the fourth data is better than the first indicator of the fifth data, and the priority of the fourth data is higher than the priority of the fifth data. The fourth data satisfies the first measurement event, the fifth data does not satisfy the first measurement event, and the priority of the fourth data is higher than the priority of the fifth data. The occurrence time of the first measurement event satisfied by the fourth data is earlier than the occurrence time of the first measurement event satisfied by the fifth data, and the priority of the fourth data is higher than the priority of the fifth data.

23. The method according to claim 21, characterized in that, The priority between the sixth and seventh data in the second data is determined based on at least one of the following criteria: The fourth moment of the sixth data is earlier than the fourth moment of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data. The confidence value of the sixth data is higher than the confidence value of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data; The sixth data is the second data at the cell level, and the seventh data is the second data at the beam level. The sixth data has a higher priority than the seventh data. The sixth data is the second data at the beam level, and the seventh data is the second data at the cell level. The sixth data has a higher priority than the seventh data. The second indicator of the sixth data is superior to the second indicator of the seventh data, and the priority of the sixth data is higher than the priority of the seventh data. The sixth data satisfies the second measurement event, the seventh data does not satisfy the second measurement event, and the priority of the sixth data is higher than the priority of the seventh data. The occurrence time of the second measurement event satisfied by the sixth data is earlier than the occurrence time of the second measurement event satisfied by the seventh data, and the priority of the sixth data is higher than the priority of the seventh data.

24. The method according to claim 23, characterized in that, The first measurement event includes at least one of the following: The second data of the first cell satisfies the first measurement event; wherein, the first cell is the cell associated with the first data; The second data of the first beam satisfies the first measurement event; wherein, the first beam is the beam associated with the first data; The first data at the fifth moment satisfies the first measurement event; wherein, the fifth moment is the current moment; The first data at the sixth moment satisfies the first measurement event; wherein, the sixth moment is a historical moment; The first data at the seventh moment satisfies the first measurement event; wherein, the seventh moment is a future moment.

25. The method according to any one of claims 18-24, characterized in that, The configuration information includes first configuration information, which is used to determine the priority of data in the first data and / or the priority of data in the second data.

26. The method according to claim 25, characterized in that, The first configuration information includes at least one of the following: residential community; Frequency point; Beam; Predictive capabilities; Predicting scenarios.

27. The method according to any one of claims 19-26, characterized in that, Receiving the higher-priority data from the first data and / or the second data includes: If the total amount of the first data and / or the second data exceeds the data volume threshold, the data with higher priority among the first data and / or the second data will be received.

28. The method according to claim 27, characterized in that, The data volume threshold is determined by at least one of the following: The first information carries the amount of data; the first information is the reporting information to be sent. Maximum data size sent in a single transaction; Network equipment configuration.

29. The method according to claim 27 or 28, characterized in that, Receiving the higher-priority data from the first data and / or the second data includes: Receive first information, the first information including third data, the third data including data with higher priority from the first data and / or the second data; the data volume of the third data is less than or equal to the data volume threshold.

30. The method according to claim 27 or 28, characterized in that, Receiving the higher-priority data from the first data and / or the second data includes: Based on the priority level, the first data and / or the second data are received in descending order; wherein the amount of data received each time is less than or equal to the data amount threshold.

31. The method according to claim 27 or 28, characterized in that, The configuration information is also used to determine priority thresholds; Receiving the higher-priority data from the first data and / or the second data includes: Receive data from the first data and / or the second data whose priority is higher than the priority threshold.

32. The method according to any one of claims 18-31, characterized in that, The first data includes at least one of the following: Data related to the prediction results obtained through time-domain prediction; Data related to the prediction results obtained through spatial domain prediction; Data related to the prediction results obtained through frequency domain prediction.

33. The method according to any one of claims 18-32, characterized in that, The prediction results obtained through prediction include: Prediction results obtained from predictions based on measurements of layer 1; and / or The prediction results are obtained from the predictions based on the layer 3 measurements.

34. A terminal, characterized in that, include: The transceiver module is used to receive configuration information; The processing module is used to determine the uplink transmission behavior of the first data based on the configuration information, wherein the first data includes data related to the prediction results obtained through prediction.

35. A network device, characterized in that, include: The processing module is used to determine configuration information, which is used to determine the uplink transmission behavior of the first data, the first data including data related to the prediction result obtained by prediction; The transceiver module is used to send the configuration information.

36. A communication device, characterized in that, The communication device is used to perform the measurement result reporting method according to any one of claims 1-17 and 18-33.

37. A communication system, characterized in that, The device includes a terminal and a network device, wherein the terminal is configured to implement the measurement result reporting method according to any one of claims 1-17, and the network device is configured to implement the measurement result reporting method according to any one of claims 18-33.

38. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the measurement result reporting method as described in any one of claims 1-17 or 18-33.

39. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by the communication device, it implements the steps of the measurement result reporting method according to any one of claims 1-17 or 18-33.

Images