Measurement methods, devices, and storage medium

Abstract

The embodiments of the present disclosure relate to measurement methods, devices, and a storage medium. The method comprises: a terminal executing mobility prediction on the basis of a measurement event, wherein the mobility prediction can be used for performing prediction to obtain mobility information of the terminal, and the mobility information can be used by the terminal to perform a mobility operation. In this way, the mobility prediction of the terminal can be flexibly controlled and managed, thereby improving the communication reliability.

Description

Measurement methods, equipment and storage media Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a measurement method, device, and storage medium. Background Art

[0002] With the advancement of communication technology, prediction functions have been introduced in wireless communication systems. For example, the prediction function can be a prediction function based on artificial intelligence (AI), which can predict events in certain scenarios to improve network performance and user experience.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide a measurement method, a device, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a measurement method is proposed, which is performed by a terminal. The method includes:

[0006] Mobility prediction is performed based on the measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

[0007] According to a second aspect of an embodiment of the present disclosure, a measurement method is provided, which is performed by a network device. The method includes:

[0008] First information is sent to a terminal, where the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used by the terminal to perform a mobility operation.

[0009] According to a third aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0010] The processing module is configured to perform mobility prediction based on the measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

[0011] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0012] The transceiver module is configured to send first information to the terminal, where the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and where the mobility information is used by the terminal to perform mobility operations.

[0013] According to a fifth aspect of an embodiment of the present disclosure, a communication device is proposed, comprising: one or more processors; wherein the communication device can be used to execute an optional implementation of the first aspect or the second aspect.

[0014] According to a sixth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first aspect or the second aspect.

[0015] According to the seventh aspect of the embodiments of the present disclosure, a computer program product is proposed, which includes a computer program. When the computer program is executed by a communication device, the communication device executes the method described in the optional implementation manner of the first aspect or the second aspect.

[0016] According to the eighth aspect of an embodiment of the present disclosure, a communication system is proposed, which may include: a terminal and a network device; wherein the terminal is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.

[0017] The technical solutions provided by the embodiments of the present disclosure can achieve the following beneficial effects: a terminal performs mobility prediction based on measurement events. This mobility prediction can be used to predict and obtain the terminal's mobility information, which can then be used by the terminal to perform mobility operations. This allows for flexible control and management of the terminal's mobility prediction, improving communication reliability.

[0018] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0020] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0021] FIG2A is an interactive schematic diagram illustrating a measurement method according to an embodiment of the present disclosure.

[0022] FIG2B is an interactive schematic diagram illustrating a measurement method according to an embodiment of the present disclosure.

[0023] FIG3A is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0024] FIG3B is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0025] FIG3C is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0026] FIG4A is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0027] FIG4B is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0028] FIG4C is a flow chart illustrating a measurement method according to an embodiment of the present disclosure.

[0029] FIG5 is a flow chart showing a measurement method according to an embodiment of the present disclosure.

[0030] FIG6A is a schematic structural diagram of a terminal according to an embodiment of the present disclosure.

[0031] FIG6B is a schematic structural diagram of a network device according to an embodiment of the present disclosure.

[0032] FIG7A is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

[0033] FIG7B is a schematic structural diagram of a chip according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The embodiments of the present disclosure provide a measurement method, a device, and a storage medium.

[0035] In a first aspect, an embodiment of the present disclosure provides a measurement method, performed by a terminal, the method including:

[0036] Mobility prediction is performed based on the measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

[0037] In the above embodiment, the mobility prediction of the terminal can be flexibly controlled and managed, thereby improving communication reliability.

[0038] In conjunction with some embodiments of the first aspect, in some embodiments, the mobility prediction is a prediction for a first cell, and the first cell includes at least one of the following:

[0039] The current serving cell of the terminal;

[0040] a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal;

[0041] a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal;

[0042] a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition;

[0043] a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition;

[0044] The cell associated with the measurement event;

[0045] The cell included in the measurement report is a measurement report triggered based on the measurement event. In the above embodiment, the terminal can flexibly select the first cell and perform mobility prediction for the first cell, thereby improving prediction efficiency.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the cell associated with the measurement event includes any one of the following:

[0047] Trigger cells in the cell list;

[0048] The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event;

[0049] The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

[0050] In the above embodiment, the terminal flexibly determines the cell associated with the measurement event, taking both prediction efficiency and prediction completeness into consideration.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the mobility information includes predicted cell-level measurement results and / or beam-level measurement results, the cell-level measurement results are the predicted measurement results of the first cell, and the beam-level measurement results are the predicted measurement results of the beam of the first cell.

[0052] In the above embodiment, the terminal can implement cell-level or beam-level prediction to improve prediction accuracy.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, performing mobility prediction based on the measurement event includes:

[0054] Determine the event that satisfies the measurement;

[0055] The mobility prediction is performed.

[0056] With reference to some embodiments of the first aspect, in some embodiments, determining that a measurement event is satisfied includes any one of the following:

[0057] Determining that the measurement result of the terminal meets the entry condition of the measurement event;

[0058] It is determined that the measurement result of the terminal meets the entry condition of the measurement event within a triggering time.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, performing mobility prediction based on the measurement event includes:

[0060] Determining the measurement event is not met;

[0061] The mobility prediction is performed.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, determining that the measurement event is not satisfied includes any one of the following:

[0063] Determining that the measurement result of the terminal meets the exit condition of the measurement event;

[0064] It is determined that the measurement result of the terminal meets the exit condition of the measurement event within the triggering time.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, performing mobility prediction based on the measurement event includes:

[0066] Determining that a first condition is met, and performing the mobility prediction;

[0067] Wherein, determining that the first condition is satisfied includes any one of the following:

[0068] determining that a measurement result of the terminal meets a condition for sending a measurement report based on the measurement event;

[0069] It is determined that the measurement result of the terminal meets the leaving condition of the measurement event within the triggering time, and it is determined based on the measurement configuration information that a measurement report needs to be reported when the leaving condition is met.

[0070] In the above embodiment, the terminal performs mobility prediction when the measurement event is satisfied, which can improve the reliable management of mobility prediction and enhance communication reliability.

[0071] With reference to some embodiments of the first aspect, in some embodiments, the measurement result of the terminal is a real measurement result at the current time or before.

[0072] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0073] The cell associated with the measurement event is determined according to the actual measurement result.

[0074] In the above embodiment, the terminal may determine whether the measurement event is satisfied according to the actual measurement result, so as to reliably determine whether the measurement event is satisfied.

[0075] In combination with some embodiments of the first aspect, in some embodiments, the mobility prediction includes time domain prediction, and the time domain prediction is used to determine mobility information at a future time.

[0076] With reference to some embodiments of the first aspect, in some embodiments, the measurement result of the terminal is a predicted measurement result at the current time or before.

[0077] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0078] A cell associated with the measurement event is determined according to the predicted measurement result.

[0079] In the above embodiment, the terminal may determine whether the measurement event is satisfied based on the prediction, so as to determine whether the measurement event is satisfied in a timely manner.

[0080] In combination with some embodiments of the first aspect, in some embodiments, the mobility prediction includes spatial domain prediction and / or temporal domain prediction, and the spatial domain prediction is used to determine mobility information at a current time.

[0081] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes at least one of the following:

[0082] determining whether the measurement event is satisfied based on the prediction;

[0083] A cell associated with the measurement event is determined based on the prediction.

[0084] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0085] First information sent by a network device is received; the first information is used to determine whether to perform mobility prediction based on a measurement event.

[0086] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following:

[0087] second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event;

[0088] third information, where the third information is used to indicate whether the terminal reports the predicted mobility information;

[0089] Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information;

[0090] fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace;

[0091] The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

[0092] In the above embodiment, the terminal can determine whether to perform mobility prediction based on the measurement event based on the instruction of the network device, which further improves the flexibility and reliability of mobility prediction management.

[0093] With reference to some embodiments of the first aspect, in some embodiments, the first information is carried by a measurement configuration.

[0094] In combination with some embodiments of the first aspect, in some embodiments, the measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

[0095] In the above embodiment, the first information may be carried by measuring the configuration, thereby improving the reliability of transmitting the first information.

[0096] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0097] A measurement report is sent to a network device, where the measurement report includes the mobility information.

[0098] In the above embodiment, the terminal may report the predicted mobility information so that the network device determines whether to instruct the terminal to perform a mobility operation according to the mobility information.

[0099] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0100] Send terminal capability information to network devices;

[0101] The terminal capability information includes at least one of the following:

[0102] first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction;

[0103] second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report;

[0104] The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

[0105] In the above embodiment, the network device can determine the terminal's ability to perform mobility prediction through the terminal capability information, and can provide different instructions to different terminals based on the capability, thereby improving the compatibility of the terminals.

[0106] In a second aspect, an embodiment of the present disclosure provides a measurement method, which is performed by a network device. The method includes:

[0107] First information is sent to a terminal, where the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used by the terminal to perform a mobility operation.

[0108] In the above embodiment, the mobility prediction of the terminal can be flexibly controlled and managed through the first information, thereby improving communication reliability.

[0109] In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following:

[0110] second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event;

[0111] third information, where the third information is used to indicate whether the terminal reports the predicted mobility information;

[0112] Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information;

[0113] fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace;

[0114] The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

[0115] In combination with some embodiments of the second aspect, in some embodiments, the first information is carried by measurement configuration.

[0116] In combination with some embodiments of the second aspect, in some embodiments, the measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

[0117] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0118] A measurement report sent by the terminal is received, where the measurement report includes the mobility information.

[0119] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0120] receiving terminal capability information sent by the terminal;

[0121] The terminal capability information includes at least one of the following:

[0122] first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction;

[0123] second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report;

[0124] The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

[0125] In conjunction with some embodiments of the second aspect, in some embodiments, the mobility prediction is a prediction for a first cell, and the first cell includes at least one of the following:

[0126] The current serving cell of the terminal;

[0127] a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal;

[0128] a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal;

[0129] a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition;

[0130] a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition;

[0131] The cell associated with the measurement event;

[0132] The cell included in the measurement report is a measurement report triggered based on the measurement event.

[0133] In conjunction with some embodiments of the second aspect, in some embodiments, the cell associated with the measurement event includes any one of the following:

[0134] Trigger cells in the cell list;

[0135] The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event;

[0136] The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

[0137] In combination with some embodiments of the second aspect, in some embodiments, the mobility information includes predicted cell-level measurement results and / or beam-level measurement results, the cell-level measurement results are the predicted measurement results of the first cell, and the beam-level measurement results are the predicted measurement results of the beam of the first cell.

[0138] In a third aspect, an embodiment of the present disclosure proposes a terminal, which may include at least one of a transceiver module and a processing module; wherein the terminal can be used to execute the optional implementation method of the first aspect.

[0139] In a fourth aspect, an embodiment of the present disclosure proposes a network device, which may include at least one of a transceiver module and a processing module; wherein the network device can be used to execute the optional implementation method of the second aspect.

[0140] In a fifth aspect, an embodiment of the present disclosure proposes a communication device, which may include: one or more processors; wherein the communication device can be used to execute an optional implementation of the first aspect or the second aspect.

[0141] In a sixth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions, which, when executed on a communication device, enables the communication device to execute the method described in the optional implementation manner of the first aspect or the second aspect.

[0142] In a seventh aspect, an embodiment of the present disclosure proposes a computer program product, which includes a computer program. When the computer program is executed by a communication device, the communication device executes the method described in the optional implementation of the first aspect or the second aspect.

[0143] In an eighth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first or second aspect.

[0144] In a ninth aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first aspect or the second aspect.

[0145] In the tenth aspect, an embodiment of the present disclosure proposes a communication system, which may include: a terminal and a network device; wherein the terminal is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.

[0146] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems can all be used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0147] The present disclosure provides a measurement method, device, and storage medium. In some embodiments, the terms "measurement method" and "information processing method" and "communication method" are interchangeable; "measuring device" and "information processing device" and "communication device" are interchangeable; and "information processing system" and "communication system" are interchangeable.

[0148] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain 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 certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0149] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0150] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0151] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0152] In some embodiments, "plurality" may refer to two or more.

[0153] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0154] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0155] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0156] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0157] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0158] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0159] In some embodiments, terms such as "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 less than", and "above" can be replaced with each other, and terms such as "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" can be replaced with each other.

[0160] In some embodiments, devices and the like may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as "device," "equipment," "device," "circuit," "network element," "node," "function," "unit," "section," "system," "network," "chip," "chip system," "entity," and "subject" may be used interchangeably.

[0161] In some embodiments, "network" can be interpreted as devices included in the network (eg, network equipment, access network equipment, core network equipment, etc.).

[0162] In some embodiments, the network device may include at least one of an access network device and a core network device.

[0163] In some embodiments, the terms "Access Network Device (AN Device)", "Radio Access Network Device (RAN Device)", "Base Station (BS)", "Radio Base Station (Radio Base Station)", "Fixed Station (Fixed Station)", "Node (Node)", "Access Point (Access Point)", "Transmission Point (TP)", "Reception Point (RP)", "Transmission and / or Reception Point (TRP))", "Panel (Panel)", "Antenna Panel (Antenna Panel)", "Antenna Array (Antenna Array)" "Cell (Cell)", "Macro Cell (Macro Cell)", "Small Cell (Small Cell)", "Femto Cell (Femto Cell)", "Pico Cell (Pico Cell)" "Sector (Sector)", "Cell Group (Cell Group)", "Serving Cell (Cell)", "Carrier (Carrier)", "Component Carrier (Component Carrier)", "Bandwidth Part (BWP)" and the like may be used interchangeably.

[0164] In some embodiments, the terms "terminal", "terminal device", "terminal side device", "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station (Subscriber Station), mobile unit (Mobile Unit), subscriber unit (Subscriber Unit), wireless unit (Wireless Unit), remote unit (Remote Unit), mobile device (Mobile Device), wireless device (Wireless Device), wireless communication device (Wireless Communication Device), remote device (Remote Device), mobile subscriber station (Mobile Subscriber Station), access terminal (Access Terminal), mobile terminal (Mobile Terminal), wireless terminal (Wireless Terminal), remote terminal (Remote Terminal), handset (Handset), user agent (User Agent), mobile client (Mobile Client), client (Client) and the like can be used interchangeably.

[0165] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels or direct channels, and uplinks, downlinks, etc. can be replaced by side links or direct links.

[0166] 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, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0167] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0168] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0169] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0170] FIG1 is a schematic diagram illustrating an architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , the communication system 100 may include a terminal 101 and a network device 102 .

[0171] In some embodiments, the terminal 101 may include at least one of a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a vehicle-mounted terminal, a tablet computer, a computer with wireless transceiver function, a road side unit (RSU), a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control (Industrial Control), a wireless terminal in self-driving (Self-Driving), a wireless terminal in remote medical surgery (Remote Medical Surgery), a wireless terminal in smart grid (Smart Grid), a wireless terminal in transportation safety (Transportation Safety), a wireless terminal in smart city (Smart City), and a wireless terminal in smart home (Smart Home), but is not limited thereto.

[0172] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0173] In some embodiments, the access network device may be a node or device that accesses the terminal to the wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a NodeB (NB), a home NodeB (HNB), a home evolved NodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0174] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0175] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit (Control Unit). The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0176] In some embodiments, the core network device may be a single device, or may be multiple devices or a group of devices. The core network may include at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), a 6G Core Network (5GCN), and a Next Generation Core (NGC).

[0177] It can be understood that the communication system described in the embodiment of the present disclosure is to more clearly illustrate the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0178] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are examples. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationship between the entities is an example. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0179] The embodiments of the present disclosure 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), Evolved Universal Terrestrial Radio Access (E-UTRA), 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 (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (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 utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0180] In some embodiments of the present disclosure, the above-mentioned communication system can deploy a prediction function. For example, the prediction function can be deployed on network devices and / or terminals. Through this prediction function, events can be predicted in certain scenarios to improve network performance and user experience.

[0181] In some embodiments, the prediction function can be used to perform mobility prediction, obtain the terminal's mobility information through mobility prediction, and assist the terminal in performing mobility operations based on the mobility information. The mobility operations may include handover, reselection, etc.

[0182] In some embodiments, the prediction function may include a software module and / or a hardware module, through which the prediction is implemented.

[0183] In some embodiments, the prediction function may include an artificial intelligence (AI) model to achieve prediction. It should be noted that the name of the AI ​​model in the embodiments of the present disclosure is not limited, for example, it can be a machine learning (ML) model or any model obtained through training.

[0184] In some embodiments, machine learning algorithms are one of the most important implementation methods of artificial intelligence technology. Machine learning can generate AI models from large amounts of training data, which can then be used to predict events. In many fields, models trained using machine learning can produce highly accurate predictions.

[0185] In some embodiments, in order to support Layer 3 (L3) mobility, the network device may configure Radio Resource Management (RRM) measurements for the terminal, and the network device may trigger switching based on the measurement results reported by the terminal. Optionally, the L3 measurement report may include cell-level measurement results and / or beam-level measurement results. The network device may determine the switching target cell and the best beam to be accessed by the terminal based on the measurement report of the terminal. After the target cell and / or beam is confirmed, a switching command (Reconfiguration with sync) is sent to the terminal, carrying configuration information of a target cell, which may include bearer configuration, MAC configuration and random access configuration. After receiving the switching command, the terminal may synchronize with the target cell, then initiate a random access process to access the target cell, and start using the carried configuration of the target cell.

[0186] In some embodiments, based on the L3 handover mechanism, handover is triggered and executed based on reported historical measurement results and / or measurement events, which is essentially a responsive solution. In low-mobility scenarios of macro cells, this approach may perform well, but when the terminal mobility is high, or in high-density deployment scenarios, or when there is mobility for existing services or future services (such as extended reality XR), this responsive solution may have problems, such as being more prone to handover failures, radio link failures, ping-pong handovers, throughput loss, or premature / late handovers.

[0187] In some embodiments, conditional handover can be introduced to improve the robustness of handovers. In some embodiments, Layer 1 (L1) or Layer 2 (L2)-triggered mobility (LTM) can be introduced to reduce the interruption time of frequent handovers between cells. However, these two mechanisms are insufficient because they are still reactive solutions by design.

[0188] In some embodiments, the mechanisms of AI / ML algorithms have the potential to implement proactive solutions, so mobility optimization can be performed based on AI. For example, measurement results can be predicted, including predictions of cell-level measurement results and predictions of beam-level measurement results.

[0189] In some embodiments, the mobility prediction may be deployed in a terminal, in a network device, or jointly in a terminal and a network device. The mobility prediction may include a prediction of a measurement result, for example, a cell-level measurement prediction and / or a beam-level measurement prediction. Optionally, the cell-level measurement prediction may include an inter-cell cell-level measurement prediction, and the beam-level measurement prediction may include an inter-cell beam-level measurement prediction.

[0190] In some embodiments, the mobility prediction may include spatial domain prediction and / or temporal domain prediction, where:

[0191] Spatial prediction, including spatial cell-level or beam-level measurement prediction, can predict the measurement results of other cells (or beams) based on the measurement results of some cells (or beams), thereby effectively reducing measurements.

[0192] Time domain prediction may include time domain cell-level or beam-level measurement prediction (Temporal Cell-level / Beam-level measurement prediction), which can predict the measurement results of some cells or other cells (or beams) in the future (or a specific time) based on the measurement results of the current part of the cells (or beams). In this way, the time domain prediction can predict future measurement results, making it easier to predict in advance which cell and / or beam will be more suitable for UE access in the future.

[0193] In some embodiments, the above-mentioned prediction function (e.g., an AI model) can be deployed on the terminal. How to manage the measurement result prediction on the terminal side, for example, when to start the measurement result prediction on the terminal side, how to determine the cell and / or beam to be predicted, etc., are issues that need to be studied and solved.

[0194] FIG2A is an interactive schematic diagram of a measurement method according to an embodiment of the present disclosure. The method may be performed by the above-mentioned communication system. As shown in FIG2A , the method may include:

[0195] Step S2101: The terminal sends terminal capability information to the network device.

[0196] In some embodiments, the network device may receive terminal capability information. For example, the network device may receive terminal capability information sent by the terminal.

[0197] In some embodiments, the terminal capability information may include functions or features supported by the terminal. For example, the terminal capability information may include whether the terminal has the ability to perform mobility prediction based on measurement events, or the terminal capability information may include whether the terminal has the ability to carry mobility information in a measurement report, or the terminal capability information may include whether the terminal has the ability to perform mobility prediction.

[0198] In some embodiments, the mobility information may be used by the terminal to perform mobility operations. Optionally, the mobility information may include information obtained by mobility prediction. For example, when the mobility prediction includes measurement result prediction, the mobility information may include measurement results (cell-level measurement results and / or beam-level measurement results).

[0199] In some embodiments, the terminal capability information may include at least one of the following:

[0200] First capability information, where the first capability information may be used to indicate whether the terminal has the capability to perform mobility prediction; for example, the terminal may report the first capability information to indicate that the terminal supports mobility prediction;

[0201] Second capability information, where the second capability information may be used to indicate whether the terminal has the capability to carry mobility information in the measurement report;

[0202] The third capability information may be used to indicate whether the terminal has the capability to perform mobility prediction based on the measurement event. For example, the terminal reports the third capability information.

[0203] Optionally, the terminal capability information sent by the terminal to the network device may include one or more of the first capability information, the second capability information, and the third capability information. For example, the terminal capability information may include the first capability information; for another example, the terminal capability information may include the second capability information; for another example, the terminal capability information may include the third capability information; for another example, the terminal capability information may include the first capability information and the second capability information; for another example, the terminal capability information may include the second capability information and the third capability information.

[0204] In some embodiments, the network device may determine whether the terminal supports at least one of the first capability information, the second capability information, and the third capability information based on the terminal capability information.

[0205] In some embodiments, the above mobility prediction may be used to predict and obtain the mobility information of the terminal, and the mobility information may be used by the terminal to perform mobility operations. For example, the mobility operations may include handover, reselection, and the like.

[0206] In some embodiments, the mobility prediction may include at least one of the following:

[0207] Measurement result prediction, which may include cell-level measurement result prediction and / or beam-level measurement result prediction, for example, a cell-level same-frequency or inter-frequency measurement result of the terminal may be predicted, or a beam-level measurement result of the terminal may be predicted;

[0208] Handover result prediction, for example, predicting whether a terminal will experience a handover failure or a radio link failure (RLF) during or after a handover, or the probability of a handover failure or RLF;

[0209] The measurement event prediction may, for example, predict whether the terminal meets the measurement event or the probability of meeting the measurement event.

[0210] In some embodiments, the mobility prediction may include at least one of the following:

[0211] Time domain prediction, which may include time domain cell-level or beam-level measurement prediction, can predict the measurement results of some cells (or beams) or other cells (or beams) in the future (or a specific time) based on the measurement results of the current part of the cells (or beams);

[0212] Spatial prediction, which may include spatial cell-level or beam-level measurement prediction, may predict the measurement results of other cells (or beams) based on the measurement results of the current part of the cells (or beams).

[0213] Optionally, the above-mentioned mobility information may include information obtained by mobility prediction. For example, when the mobility prediction includes measurement result prediction, the mobility information may include measurement results (cell-level measurement results and / or beam-level measurement results).

[0214] In some embodiments, the name of the mobility prediction is not limited, and may be, for example, "measurement result prediction", "measurement prediction", etc.

[0215] In some embodiments, the name of the terminal capability information is not limited, and may be, for example, "terminal capability report", "capability report", "capability information", etc.

[0216] In some embodiments, the terminal capability information may be carried in a radio resource control (RRC) message or other messages sent by the terminal to the network device.

[0217] In some embodiments, the network device may determine the terminal's capability of performing mobility prediction based on the terminal capability information.

[0218] Optionally, the network device may provide different instructions to different terminals based on the capability. For example, the network device may send first information to a terminal capable of performing mobility prediction to instruct the terminal to perform mobility prediction based on a measurement event. For another example, the network device may not send the first information to a terminal without the capability of performing mobility prediction, or may use the first information to instruct the terminal not to perform mobility prediction based on a measurement event.

[0219] In this way, the compatibility of the terminal can be improved.

[0220] In some embodiments of the present disclosure, the measurement event may include any event supported by the relevant communication protocol. For example, the measurement event may include at least one of the following: A1, A2, A3, A4, A5, A6, B1, B2, H1, H2, A3H1, A3H2, A4H1, A4H2, A5H1, A5H2, I1, D1, X1, X2, Y1, Y2, Z1, etc. Among them:

[0221] Event A1: The measurement result of the serving cell is better than the threshold;

[0222] Event A2: The measurement result of the serving cell is worse than the threshold;

[0223] Event A3: The measurement result of the neighboring cell is better than the measurement result of the serving cell, where the serving cell may include a primary cell (PCell) and / or a primary secondary cell (PSCell);

[0224] Event A4: The measurement result of the neighboring cell is better than the threshold;

[0225] Event A5: The measurement result of the serving cell (e.g., PCell or PSCell) is worse than threshold 1, and the measurement result of the neighboring cell is better than threshold 2;

[0226] Event A6: The measurement result of the neighboring cell is better than the measurement result of the secondary cell (SCell);

[0227] Event B1: The measurement result of the neighboring cell of the different system is better than the threshold;

[0228] Event B2: The measurement result of the primary cell (PCell) is worse than threshold 1, while the measurement result of the neighboring cell of the heterogeneous system is better than threshold 2.

[0229] Event H1: The height of the terminal is higher than a threshold. The terminal may be an aerial user equipment (Aerial UE).

[0230] Event H2: The height of the terminal is lower than a threshold. The terminal may be an aerial user equipment (Aerial UE).

[0231] Event A3H1: The measurement result of the neighboring cell is better than the measurement result of the serving cell, and the height of the terminal is higher than the threshold. The terminal may be an aerial user equipment (Aerial UE);

[0232] Event A3H2: The measurement result of the neighboring cell is better than the measurement result of the serving cell, and the height of the terminal is lower than the threshold. The terminal may be an airborne user equipment;

[0233] Event A4H1: The measurement result of the neighboring cell is better than the threshold, and the height of the terminal is higher than the threshold. The terminal may be an airborne user equipment;

[0234] Event A4H2: The measurement result of the neighboring cell is better than the threshold, and the height of the terminal is lower than the threshold. The terminal may be an airborne user equipment;

[0235] Event A5H1: The measurement result of the serving cell (e.g., PCell or PSCell) is worse than threshold 1, the measurement result of the neighboring cell is better than threshold 2, and the height of the terminal is higher than the threshold. The terminal may be an airborne user equipment.

[0236] Event A5H2: The measurement result of the serving cell (e.g., PCell or PSCell) is worse than threshold 1, the measurement result of the neighboring cell is better than threshold 2, and the height of the terminal is lower than the threshold. The terminal may be an airborne user equipment;

[0237] Event I1: interference is higher than the threshold;

[0238] Event D1: The distance between the terminal and reference location 1 referenceLocation1 is greater than threshold 1, and the distance between the terminal and reference location 2 is less than threshold 2;

[0239] Event X1: The serving relay device is worse than threshold 1 and the NR cell is better than threshold 2. The serving relay device may be a serving layer 2 U2N relay user equipment (L2 U2N Relay UE).

[0240] Event X2: The service relay device is worse than the threshold;

[0241] Event Y1: The PCell of the primary cell is worse than threshold 1, and the candidate L2 U2N relay UE is better than threshold 2. The candidate relay device may be a candidate layer 2 U2N relay user equipment (L2 U2N Relay UE);

[0242] Event Y2: The candidate relay device is better than the threshold;

[0243] Event Z1: The serving relay device is worse than threshold 1, and the candidate relay device is better than threshold 2.

[0244] It should be noted that the above-mentioned "better than" can be greater than, for example, the measurement result better than the threshold can be that the measured signal strength is greater than the threshold; the above-mentioned "worse than" can be "less than", for example, the measurement result worse than the threshold can be that the measured signal strength is less than the threshold.

[0245] In some embodiments, the measurement event may correspond to a triggered cell list (cellsTriggeredList), which may store cells that meet the measurement event. For example, the triggered cell list may include all or part of the cells that meet the measurement event.

[0246] In one implementation, when a cell meets the entry conditions of the measurement event throughout the entire trigger time (timeToTrigger, TTT), the cell can be added to the trigger cell list (that is, the cell is included in the trigger cell list). At this time, the terminal can start measurement reporting;

[0247] In another implementation, when a cell in the triggering cell list meets the leaving condition of the measurement event throughout the entire TTT, the cell is removed from the triggering cell list, and if the terminal is configured with report on leave, a measurement report is initiated.

[0248] It should be noted that, for the specific implementation of the measurement event and the triggering cell list, reference may also be made to the description in the relevant communication protocol, which will not be repeated here.

[0249] In some embodiments, the above step S2101 can be omitted, and the network device can independently implement the function indicated by the terminal capability information, or the network device defaults that the terminal supports the above capabilities.

[0250] Step S2102: The network device sends first information to the terminal.

[0251] In some embodiments, the terminal may receive the first information. For example, the terminal may receive the first information sent by the network device.

[0252] In some embodiments, the first information may be used to determine whether to perform mobility prediction based on the measurement event.

[0253] In some embodiments, the first information may be used to indicate whether the terminal performs mobility prediction based on the measurement event, and the mobility prediction may include prediction of the measurement result.

[0254] For example, if the terminal receives the first information and / or the first information is a first value, mobility prediction may be performed based on the measurement event. For another example, if the terminal does not receive the first information and / or the first information is a second value, mobility prediction may not be performed based on the measurement event. The first value and the second value are different, for example, the first value is 1 and the second value is 0.

[0255] In some embodiments, the name of the first information is not limited, and may be, for example, "configuration information", "indication information", "prediction indication information", etc.

[0256] In some embodiments, the first information may be carried in at least one of an RRC message, a medium access control control element MAC CE (Medium Access Control Control Element), downlink control information DCI (Downlink Control Information), or other messages sent by a network device to a terminal.

[0257] In some embodiments, the first information includes at least one of the second information, the third information, the fourth information, the fifth information, and the sixth information.

[0258] For example, the first information may include second information, where the second information may be used to indicate whether the terminal performs mobility prediction (eg, prediction of a measurement result) based on the measurement event.

[0259] For another example, the first information may include third information, and the third information may be used to indicate whether the terminal reports the predicted mobility information (such as reporting the predicted mobility information through a measurement report).

[0260] For another example, the first information may include fourth information, which may be used to indicate whether the terminal reports the predicted time domain mobility information (such as the predicted time domain mobility information reported through measurement report). For example, the fourth information may indicate the terminal to report the time domain prediction result.

[0261] For another example, the first information may include fifth information, which may be used to indicate whether the terminal reports the predicted mobility information of the airspace (such as the mobility information of the airspace predicted by reporting the measurement report). For example, the fifth information may indicate the terminal to report the airspace prediction result.

[0262] For another example, the first information may include sixth information, which may include parameters for the terminal to perform mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction. For example, the sixth information may include time information corresponding to the time domain prediction (such as a time window, a future time point or a timer, etc.).

[0263] In this way, the network device can instruct the terminal to execute a corresponding function through the first information, thereby flexibly controlling whether the terminal executes mobility prediction or reports predicted mobility information based on the measurement event.

[0264] In some embodiments, the first information is carried by a measurement configuration. For example, the first information may be included in a measurement configuration, and the measurement configuration may be associated with a corresponding measurement event.

[0265] In some embodiments, the measurement configuration may include at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the above-mentioned measurement event. For example, the first information may be included in the reporting configuration; for another example, the first information may be included in the measurement object configuration; for another example, the first information may be included in the measurement identifier configuration; for another example, the first information may be included in both the reporting configuration and the measurement object configuration; for another example, the first information may be included in any two or three of the reporting configuration, the measurement object configuration, and the measurement identifier configuration.

[0266] In this way, the network device can instruct the terminal whether to perform mobility prediction or report predicted mobility information based on the measurement event through the measurement configuration corresponding to the measurement event.

[0267] In some embodiments, the terminal may determine whether to perform mobility prediction based on the measurement event according to the first information.

[0268] For example, if the terminal receives the above-mentioned first information or the received first information is a specific value, mobility prediction is performed based on the measurement event; or, if the terminal does not receive the above-mentioned first information or the received first information is not a specific value, mobility prediction is not performed based on the measurement event.

[0269] For another example, if the terminal receives the above-mentioned second information or the received second information is a specific value, mobility prediction is performed based on the measurement event; or, if the terminal does not receive the above-mentioned second information or the received second information is not a specific value, mobility prediction is not performed based on the measurement event.

[0270] In some embodiments, the terminal may determine whether to report the mobility information obtained by mobility prediction according to the first information.

[0271] For another example, if the terminal receives the above-mentioned third information or the received third information is a specific value, mobility prediction is performed based on the measurement event, and the predicted mobility information is reported; or, if the terminal does not receive the above-mentioned third information or the received third information is not a specific value, the predicted mobility information is not reported, and mobility prediction may not be performed.

[0272] In some embodiments, step S2102 may be omitted, and the terminal may autonomously implement the function indicated by the first information. For example, the terminal may autonomously configure the first information. For another example, the terminal may autonomously decide whether to perform mobility prediction based on a measurement event.

[0273] In some embodiments, step S2102 may be omitted, for example, it is assumed that the terminal needs to perform mobility prediction based on measurement events.

[0274] Step S2103: The terminal performs mobility prediction based on the measurement event.

[0275] In some embodiments, upon receiving the first information, the terminal may perform mobility prediction based on the measurement event according to an instruction of the first information.

[0276] In some embodiments, the mobility prediction may be used to predict and obtain the mobility information of the terminal, and the mobility information is used by the terminal to perform mobility operations.

[0277] In some embodiments, the mobility prediction may be a prediction for a first cell, the first cell may be one or more, and the first cell may include at least one of the following:

[0278] The current serving cell of the terminal, which may include one or more of PCell, PSCell, and SCell;

[0279] A first neighboring cell, where there are one or more first neighboring cells, each of which is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal;

[0280] A second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal;

[0281] a third neighboring cell, where there are one or more third neighboring cells, and each third neighboring cell is a cell in the set of first neighboring cells whose signal strength meets a condition; optionally, the signal strength meeting the condition may be that the signal strength is greater than a specific threshold, or may be the top N cells with the strongest signal strength, where N is any positive integer, and the signal strength may include at least one of RSRP, SINR, and RSRQ;

[0282] a fourth neighboring cell, the fourth neighboring cell being a cell in the second neighboring cell set whose signal strength satisfies a condition; optionally, the signal strength satisfying condition may be a signal strength greater than a specific threshold, or may be the top N cells with the strongest signal strength, where N is any positive integer;

[0283] The cells associated with the measurement event, for example, the cells associated with the measurement event may be all or part of the cells in the triggered cell list (e.g., cellsTriggeredList); for another example, the cells associated with the measurement event may be cells removed from the triggered cell list; for another example, the cells associated with the measurement event may be cells not included in the triggered cell list; for another example, the cells associated with the measurement event may include cells that meet the measurement event; for another example, the cells associated with the measurement event may include cells that do not meet the measurement event, such as cells that change from meeting the measurement event to not meeting the measurement event;

[0284] The cells included in the measurement report are measurement reports triggered based on a measurement event. Optionally, the measurement report may be a measurement report that the terminal prepares to report to the network device based on the measurement event.

[0285] In some embodiments, the above-mentioned signal strength may include at least one of Reference Signal Receiving Power (RSRP), Signal to Interference plus Noise Ratio (SINR), and Reference Signal Receiving Quality (RSRQ).

[0286] Optionally, the cell with the strongest signal strength may include at least one of the following: a cell with the largest RSRP, a cell with the largest SINR, and a cell with the largest RSRQ.

[0287] Optionally, the cells whose signal strength meets the conditions may include at least one of the following: cells whose RSRP meets the conditions, cells whose SINR meets the conditions, and cells whose RSRQ meets the conditions.

[0288] For example, the terminal may perform mobility prediction on the current serving cell.

[0289] For another example, the terminal may perform mobility prediction on the first neighboring cell.

[0290] For another example, the terminal may perform mobility prediction on the second neighboring cell.

[0291] For another example, the terminal may perform mobility prediction on a cell associated with a measurement event (eg, a cell that satisfies the measurement event or a cell that does not satisfy the measurement event).

[0292] For another example, the terminal may perform mobility prediction on the cells included in the measurement report.

[0293] For another example, the terminal may perform mobility prediction on cells other than the cell associated with the measurement event.

[0294] In some embodiments, the above prediction for the first cell may be a prediction for the frequency corresponding to the first cell.

[0295] For example, the terminal may perform mobility prediction on the frequency corresponding to the current serving cell.

[0296] For another example, the terminal may perform mobility prediction on the frequency corresponding to the first neighboring cell.

[0297] For another example, the terminal may perform mobility prediction on the frequency corresponding to the second neighboring cell.

[0298] For another example, the terminal may perform mobility prediction on a frequency corresponding to a cell associated with a measurement event (eg, a cell that satisfies the measurement event or a cell that does not satisfy the measurement event).

[0299] For another example, the terminal may perform mobility prediction on the frequency corresponding to the cell included in the measurement report.

[0300] For another example, the terminal may perform mobility prediction on frequencies corresponding to cells other than the cell associated with the measurement event.

[0301] In some embodiments, the above mobility prediction may be used to predict and obtain the mobility information of the terminal, and the mobility information may be used by the terminal to perform mobility operations. For example, the mobility operations may include handover, reselection, and the like.

[0302] In some embodiments, the mobility prediction may include at least one of the following:

[0303] Measurement result prediction, which may include cell-level measurement result prediction and / or beam-level measurement result prediction, for example, a cell-level same-frequency or inter-frequency measurement result of the terminal may be predicted, or a beam-level measurement result of the terminal may be predicted;

[0304] Handover result prediction, for example, predicting whether a terminal will experience a handover failure or a radio link failure (RLF) during or after a handover, or the probability of a handover failure or RLF;

[0305] The measurement event prediction may, for example, predict whether the terminal meets the measurement event or the probability of meeting the measurement event.

[0306] In some embodiments, the mobility prediction may include at least one of the following:

[0307] Time domain prediction, which may include time domain cell-level or beam-level measurement prediction, can predict the measurement results of some cells (or beams) or other cells (or beams) in the future (or a specific time) based on the measurement results of the current part of the cells (or beams);

[0308] Spatial prediction, which may include spatial cell-level or beam-level measurement prediction, may predict the measurement results of other cells (or beams) based on the measurement results of the current part of the cells (or beams).

[0309] In some embodiments, the cell associated with the measurement event may include any one of the following:

[0310] cells in a triggering cell list, where the triggering cell list may include all or part of the cells that satisfy the measurement event;

[0311] A newly added cell in the triggered cell list, where the newly added cell may be a cell added to the triggered cell list corresponding to this measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report may be a measurement report triggered based on a measurement event; optionally, the newly added cell may be the cell corresponding to the triggering of this measurement report;

[0312] The removed cell corresponding to the triggering cell list may be a cell whose triggering cell list corresponding to this measurement report is reduced compared to the triggering cell list corresponding to the last measurement report; optionally, the removed cell may be a cell that changes from satisfying the measurement event to not satisfying the measurement event.

[0313] In this way, the terminal can flexibly select the first cell and perform mobility prediction for the first cell, thereby improving prediction efficiency.

[0314] In some embodiments, the mobility information obtained by the above-mentioned mobility prediction may include predicted cell-level measurement results and / or beam-level measurement results, wherein the cell-level measurement result may be the predicted measurement result of the above-mentioned first cell, and the beam-level measurement result may be the predicted measurement result of the beam of the above-mentioned first cell.

[0315] In some embodiments, the terminal may predict the beam-level measurement result for the beam that can be detected by the first cell, or may determine the corresponding beam based on the network configuration to predict the beam-level measurement result.

[0316] In some embodiments, the terminal may perform mobility prediction if it determines that at least one of the following conditions is met:

[0317] In some embodiments, satisfying the measurement event may also be referred to as satisfying a condition corresponding to the measurement event.

[0318] In some embodiments, the above-mentioned determination that a measurement event is satisfied may include at least one of the following:

[0319] Determining that a measurement result of the terminal meets a condition for sending a measurement report based on a measurement event;

[0320] Determining that the measurement result of the terminal meets the entry condition of the measurement event;

[0321] Determining that the measurement result of the terminal meets the exit condition of the measurement event;

[0322] Determining whether the measurement result of the terminal satisfies the entry condition of the measurement event within a trigger time (TTT) (for example, the entry condition of the measurement event is continuously satisfied within the trigger time);

[0323] Determining whether the measurement result of the terminal satisfies the exit condition of the measurement event within a triggering time (TTT) (for example, the exit condition of the measurement event is continuously satisfied within the triggering time);

[0324] Determine whether the measurement result of the terminal meets the leaving condition of the measurement event within the trigger time (TTT) (for example, the leaving condition of the measurement event is continuously met within the trigger time), and determine based on the measurement configuration information that a measurement report needs to be reported when the leaving condition is met. Optionally, the measurement configuration information may include a report on leaving (report on Leave).

[0325] In this way, the terminal can determine whether to perform mobility prediction based on any of the above items, thereby being able to flexibly control and manage the execution of mobility prediction.

[0326] Optionally, if the terminal determines that the above conditions are not met, mobility prediction may not be performed, thereby reducing the computational load of the terminal.

[0327] In some embodiments, the terminal may determine that a measurement event is satisfied and perform mobility prediction. Alternatively, the terminal may perform mobility prediction when determining that a measurement event is satisfied.

[0328] In some embodiments, the above-mentioned determination that a measurement event is satisfied may include at least one of the following:

[0329] Determining that the measurement result of the terminal meets the entry condition of the measurement event;

[0330] It is determined that the measurement result of the terminal meets the entry condition of the measurement event within the triggering time (for example, the entry condition of the measurement event is continuously met within the triggering time).

[0331] In this way, the terminal can determine whether the measurement event is satisfied based on any of the above items and perform mobility prediction.

[0332] In some embodiments, the measurement result of the terminal may be a real measurement result at the current time or before. In other embodiments, the measurement result of the terminal may be a predicted measurement result at the current time or before.

[0333] In some embodiments, the terminal may determine that the measurement event is not satisfied and perform mobility prediction. Alternatively, the terminal may perform mobility prediction when determining that the measurement event is not satisfied.

[0334] In some embodiments, the above-mentioned determination that a measurement event is satisfied may include at least one of the following:

[0335] Determining that the measurement result of the terminal meets the exit condition of the measurement event;

[0336] It is determined that the measurement result of the terminal meets the exit condition of the measurement event within the triggering time (for example, the exit condition of the measurement event is continuously met within the triggering time).

[0337] In this way, the terminal may determine that the measurement event is not satisfied based on any of the above items, and perform mobility prediction.

[0338] In some embodiments, the terminal may determine that the first condition is satisfied and perform mobility prediction. Alternatively, the terminal may perform mobility prediction if it is determined that the first condition is satisfied.

[0339] In some embodiments, the determination that the first condition is satisfied may include at least one of the following:

[0340] Determining that a measurement result of the terminal meets a condition for sending a measurement report based on a measurement event;

[0341] It is determined that the measurement result of the terminal meets the leaving condition of the measurement event within the triggering time (for example, the leaving condition of the measurement event is continuously met within the triggering time), and it is determined based on the measurement configuration information that a measurement report needs to be reported when the leaving condition is met.

[0342] In this way, the terminal can determine whether the first condition is met based on any one of the above items and perform mobility prediction.

[0343] In some embodiments, the measurement result of the terminal may be a real measurement result at the current time or before. The real measurement result may be a measurement result obtained by the terminal. For example, the terminal may determine whether the measurement event is satisfied based on the real measurement result.

[0344] In some embodiments, the terminal may determine the cell associated with the measurement event based on the actual measurement result.

[0345] For example, when determining that the measurement event is satisfied, the terminal may further determine the cell that satisfies the measurement event based on the actual measurement result. That is, the terminal determines whether the measurement event is satisfied and the cell that satisfies the measurement event based on the actual measurement result.

[0346] In some embodiments, the mobility prediction includes time domain prediction, which can be used to determine mobility information at a future time.

[0347] For example, the terminal determines whether the measurement event is met based on the actual measurement results. If it is determined that the measurement event is met, the terminal can perform time domain prediction, such as performing time domain measurement result prediction, to predict the future measurement results of the above-mentioned cell (which may include cell-level and / or beam-level measurement results).

[0348] In some embodiments, the measurement result of the terminal may be a predicted measurement result at or before the current time. The predicted measurement result may be a measurement result predicted by the terminal at or before the current time, for example, a measurement result obtained by performing spatial or temporal prediction based on an AI model. For example, the terminal may determine whether the measurement event is satisfied based on the predicted measurement result.

[0349] In some embodiments, the terminal may perform prediction based on an AI model to obtain a predicted measurement result. The input of the AI ​​model may include a real measurement result measured by the terminal at the current time or before, and the output of the AI ​​model may include the predicted measurement result. Optionally, the AI ​​model may be a trained model.

[0350] In some embodiments, the terminal may determine the cell associated with the measurement event based on the predicted measurement result.

[0351] For example, when the measurement event is satisfied, the terminal may also determine the cell that satisfies the measurement event according to the predicted measurement result. That is, the terminal determines whether the measurement event is satisfied and the cell that satisfies the measurement event based on the prediction.

[0352] In some embodiments, the mobility prediction includes spatial domain prediction and / or temporal domain prediction, and the spatial domain prediction can be used to determine mobility information at the current time.

[0353] For example, the terminal determines whether the measurement event is met based on the prediction. If it is determined that the measurement event is met, the terminal can perform spatial domain prediction and / or time domain prediction, for example, perform time domain measurement result prediction, and predict the future measurement results of the above-mentioned cell (which may include cell-level and / or beam-level measurement results).

[0354] Optionally, the terminal may obtain the predicted cell measurement results and determine whether the measurement event is satisfied based on the cell measurement results. Optionally, the terminal may also determine the cells that satisfy the measurement event based on the cell measurement results. For example, whether the measurement event is satisfied and which cells satisfy the measurement event may be determined by evaluating the predicted cell measurement results.

[0355] In some embodiments, the terminal may determine whether the measurement event is satisfied based on a prediction. For example, the terminal may directly predict whether the measurement event is satisfied.

[0356] Optionally, the terminal may also obtain cells that meet the measurement event based on the prediction. For example, whether the measurement event is met and which cells meet the measurement event can be directly obtained through AI prediction.

[0357] In some embodiments, a terminal may perform a prediction based on an AI model to determine whether a measurement event is satisfied. The input of the AI ​​model may include actual measurement results obtained by the terminal at or before the current time, as well as relevant parameters of the measurement event (e.g., threshold, trigger duration, etc.). The output of the AI ​​model may include whether the measurement event is satisfied. Optionally, the AI ​​model may be a trained model.

[0358] Step S2104: The terminal sends a measurement report to the network device.

[0359] In some embodiments, the network device may receive a measurement report. For example, the network device may receive a measurement report sent by a terminal.

[0360] In some embodiments, the measurement report may include mobility information obtained by the terminal performing mobility prediction.

[0361] In some embodiments, the name of the measurement report is not limited, and may be, for example, "measurement report", "measurement result report", "prediction result report", etc.

[0362] In some embodiments, the measurement report may be carried in at least one of an RRC message, a MAC CE, uplink control information UCI (Uplink Control Information), or other messages sent by the terminal to the network device.

[0363] In some embodiments, the terminal may determine whether to include the mobility information in the measurement report according to the first information.

[0364] For example, if the network device instructs the terminal to report the predicted mobility information through a measurement report through the first information, the terminal may include the predicted mobility information in the measurement report. For another example, if the network device instructs the terminal not to report the mobility information through the first information, the terminal may not include the predicted mobility information in the measurement report.

[0365] The method involved in the embodiments of the present disclosure may include at least one of the above steps S2101 to S2104. For example, step S2103 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, steps S2102+S2103 can be implemented as an independent embodiment, steps S2103+S2104 can be implemented as an independent embodiment, steps S2101+S2102+S2103 can be implemented as an independent embodiment, and steps S2102+S2103+S2104 can be implemented as an independent embodiment, but are not limited thereto.

[0366] In some embodiments, the above steps S2101 to S2104 can be executed in a swapped order or simultaneously.

[0367] In some embodiments, the above steps S2101 to S2104 are all optional steps.

[0368] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2A .

[0369] FIG2B is an interactive diagram illustrating a measurement method according to an embodiment of the present disclosure. As shown in FIG2B , an embodiment of the present disclosure relates to a measurement method, which can be performed by a communication system and can include:

[0370] Step S2201: The network device sends first information to the terminal.

[0371] The optional implementation of step S2201 can refer to the optional implementation of step S2102 in FIG. 2A and other related parts in the embodiment involved in FIG. 2A , which will not be described in detail here.

[0372] Step S2202: The terminal performs mobility prediction based on the measurement event.

[0373] The optional implementation of step S2202 can refer to the optional implementation of step S2103 in FIG. 2A and other related parts in the embodiment involved in FIG. 2A , which will not be described in detail here.

[0374] In some embodiments, the above steps are all optional steps.

[0375] In some embodiments, the embodiment shown in FIG. 2B may also be combined with any one or more steps in the embodiment shown in FIG. 2A to form a new embodiment.

[0376] FIG3A is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a measurement method, which can be performed by a terminal. The method may include:

[0377] Step S3101: Send terminal capability information.

[0378] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0379] In some embodiments, the terminal may send the terminal capability information to a network device, but is not limited thereto. The terminal may also send the terminal capability information to other entities.

[0380] Step S3102: Obtain first information.

[0381] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0382] In some embodiments, the terminal may receive the first information sent by the network device, but is not limited thereto. The terminal may also receive the first information sent by other entities.

[0383] In some embodiments, the terminal may obtain first information specified by the protocol.

[0384] In some embodiments, the terminal may obtain the first information from an upper layer(s).

[0385] In some embodiments, the terminal may perform processing to obtain the first information.

[0386] In some embodiments, step S3102 may be omitted, and the terminal may autonomously implement the function indicated by the first information, or the above function may be default or acquiescent.

[0387] Step S3103: Perform mobility prediction based on the measurement event.

[0388] The optional implementation of step S3103 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0389] Step S3104: Send a measurement report.

[0390] The optional implementation of step S3104 can refer to the optional implementation of step S2104 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0391] In some embodiments, the terminal may send the measurement report to a network device, but is not limited thereto. The terminal may also send the measurement report to other entities.

[0392] The method involved in the embodiments of the present disclosure may include at least one of the above steps S3101 to S3104. For example, step S3103 can be implemented as an independent embodiment, step S3102 can be implemented as an independent embodiment, step S3103 can be implemented as an independent embodiment, steps S3102+S3103 can be implemented as an independent embodiment, steps S3103+S3104 can be implemented as an independent embodiment, steps S3101+S3102+S3103 can be implemented as an independent embodiment, and steps S3102+S3103+S3104 can be implemented as an independent embodiment, but are not limited thereto.

[0393] In some embodiments, the above steps S3101 to S3104 can be executed in a swapped order or simultaneously.

[0394] In some embodiments, the above steps S3101 to S3104 are all optional steps.

[0395] FIG3B is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a measurement method, which can be performed by a terminal. The method may include:

[0396] Step S3201: Perform mobility prediction based on measurement events.

[0397] The optional implementation of step S3201 can be found in step S2103 of FIG. 2A , the optional implementation of step S3103 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2A and FIG. 3A , which will not be repeated here.

[0398] In some embodiments, the embodiment shown in FIG. 3B may also be combined with any one or more steps in the embodiment shown in FIG. 3A to form a new embodiment.

[0399] In some embodiments, the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used by the terminal to perform mobility operations.

[0400] In some embodiments, the mobility prediction is a prediction for a first cell, and the first cell includes at least one of the following:

[0401] The current serving cell of the terminal;

[0402] a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal;

[0403] a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal;

[0404] a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition;

[0405] a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition;

[0406] The cell associated with the measurement event;

[0407] The cell included in the measurement report is a measurement report triggered based on the measurement event.

[0408] In some embodiments, the cell associated with the measurement event includes any one of the following:

[0409] Trigger cells in the cell list;

[0410] The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event;

[0411] The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

[0412] In some embodiments, the mobility information includes predicted cell-level measurement results and / or beam-level measurement results, the cell-level measurement results are predicted measurement results of the first cell, and the beam-level measurement results are predicted measurement results of the beam of the first cell.

[0413] In some embodiments, performing mobility prediction based on the measurement event comprises:

[0414] Determine the event that satisfies the measurement;

[0415] The mobility prediction is performed.

[0416] In some embodiments, the determining that a measurement event is satisfied includes any one of the following:

[0417] Determining that the measurement result of the terminal meets the entry condition of the measurement event;

[0418] It is determined that the measurement result of the terminal meets the entry condition of the measurement event within a triggering time.

[0419] In some embodiments, performing mobility prediction based on the measurement event comprises:

[0420] Determining the measurement event is not met;

[0421] The mobility prediction is performed.

[0422] In some embodiments, the determining that the measurement event is not satisfied includes any one of the following:

[0423] Determining that the measurement result of the terminal meets the exit condition of the measurement event;

[0424] It is determined that the measurement result of the terminal meets the exit condition of the measurement event within the triggering time.

[0425] In some embodiments, performing mobility prediction based on the measurement event comprises:

[0426] Determining that a first condition is met, and performing the mobility prediction;

[0427] Wherein, determining that the first condition is satisfied includes any one of the following:

[0428] determining that a measurement result of the terminal meets a condition for sending a measurement report based on the measurement event;

[0429] It is determined that the measurement result of the terminal meets the leaving condition of the measurement event within the triggering time, and it is determined based on the measurement configuration information that a measurement report needs to be reported when the leaving condition is met.

[0430] In some embodiments, the measurement result of the terminal is a real measurement result at the current time or before.

[0431] In some embodiments, the method further comprises:

[0432] The cell associated with the measurement event is determined according to the actual measurement result.

[0433] In some embodiments, the mobility prediction includes time domain prediction, the time domain prediction being used to determine mobility information at a future time.

[0434] In some embodiments, the measurement result of the terminal is a predicted measurement result at the current time or before.

[0435] In some embodiments, the method further comprises:

[0436] A cell associated with the measurement event is determined according to the predicted measurement result.

[0437] In some embodiments, the mobility prediction includes spatial domain prediction and / or temporal domain prediction, and the spatial domain prediction is used to determine mobility information at a current time.

[0438] In some embodiments, the method further comprises at least one of the following:

[0439] determining whether the measurement event is satisfied based on the prediction;

[0440] A cell associated with the measurement event is determined based on the prediction.

[0441] In some embodiments, the method further comprises:

[0442] First information sent by a network device is received, where the first information is used to determine whether to perform mobility prediction based on a measurement event.

[0443] In some embodiments, the first information includes at least one of the following:

[0444] second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event;

[0445] third information, where the third information is used to indicate whether the terminal reports the predicted mobility information;

[0446] Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information;

[0447] fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace;

[0448] The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

[0449] In some embodiments, the first information is carried by a measurement configuration.

[0450] In some embodiments, the measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

[0451] In some embodiments, the method further comprises:

[0452] A measurement report is sent to a network device, where the measurement report includes the mobility information.

[0453] In some embodiments, the method further comprises:

[0454] Send terminal capability information to network devices;

[0455] The terminal capability information includes at least one of the following:

[0456] first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction;

[0457] second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report;

[0458] The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

[0459] FIG3C is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to a measurement method, which can be performed by a terminal. The method may include:

[0460] Step S3301: Send terminal capability information.

[0461] The optional implementation of step S3301 can be found in step S2101 of FIG. 2A , the optional implementation of step S3101 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2A and FIG. 3A , which will not be repeated here.

[0462] In some embodiments, the terminal may send terminal capability information to the network device.

[0463] In some embodiments, the embodiment shown in FIG. 3C may also be combined with any one or more steps in the embodiment shown in FIG. 3A to form a new embodiment.

[0464] FIG4A is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a measurement method, which can be performed by a network device, and the method includes:

[0465] Step S4101: Obtain terminal capability information.

[0466] The optional implementation of step S4101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0467] In some embodiments, the network device may receive terminal capability information sent by the terminal, but is not limited thereto. The network device may also receive terminal capability information sent by other entities.

[0468] In some embodiments, the network device may obtain terminal capability information specified by the protocol.

[0469] In some embodiments, the network device may perform processing to obtain the terminal capability information.

[0470] In some embodiments, step S4101 may be omitted, and the network device may autonomously implement the functions indicated by the terminal capability information, or the above functions may be default or acquiescent.

[0471] Step S4102: Send the first information.

[0472] The optional implementation of step S4102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0473] In some embodiments, the network device may send the first information to the terminal, but is not limited thereto. The network device may also send the first information to other entities.

[0474] Step S4103: Obtain a measurement report.

[0475] The optional implementation of step S4103 can refer to the optional implementation of step S2104 in FIG2A and other related parts in the embodiment involved in FIG2A , which will not be described in detail here.

[0476] In some embodiments, the network device may receive a measurement report sent by a terminal, but is not limited thereto. The network device may also receive a measurement report sent by other entities.

[0477] In some embodiments, the network device may perform processing to obtain the measurement report.

[0478] The method involved in the embodiments of the present disclosure may include at least one of the above steps S4101 to S4103. For example, step S4102 can be implemented as an independent embodiment, step S4103 can be implemented as an independent embodiment, steps S4102 + S4103 can be implemented as independent embodiments, and steps S4101 + S4102 can be implemented as independent embodiments, but the present invention is not limited thereto.

[0479] In some embodiments, the above steps S4101 to S4103 can be executed in a swapped order or simultaneously.

[0480] In some embodiments, the above steps S4101 to S4103 are all optional steps.

[0481] FIG4B is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG4B , an embodiment of the present disclosure relates to a measurement method, which can be performed by a network device. The method may include:

[0482] Step S4201: Send the first message.

[0483] The optional implementation of step S4201 can be found in step S2102 of FIG. 2A , the optional implementation of step S4102 of FIG. 4A , and other related parts in the embodiments involved in FIG. 2A and FIG. 4A , which will not be repeated here.

[0484] In some embodiments, the embodiment shown in FIG. 4B may also be combined with any one or more steps in the embodiment shown in FIG. 4A to form a new embodiment.

[0485] In some embodiments, the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

[0486] In some embodiments, the first information includes at least one of the following:

[0487] second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event;

[0488] third information, where the third information is used to indicate whether the terminal reports the predicted mobility information;

[0489] Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information;

[0490] fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace;

[0491] The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

[0492] In some embodiments, the first information is carried by a measurement configuration.

[0493] In some embodiments, the measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

[0494] In some embodiments, the method further comprises:

[0495] A measurement report sent by the terminal is received, where the measurement report includes the mobility information.

[0496] In some embodiments, the method further comprises:

[0497] receiving terminal capability information sent by the terminal;

[0498] The terminal capability information includes at least one of the following:

[0499] first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction;

[0500] second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report;

[0501] The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

[0502] In some embodiments, the mobility prediction is a prediction for a first cell, and the first cell includes at least one of the following:

[0503] The current serving cell of the terminal;

[0504] a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal;

[0505] a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal;

[0506] a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition;

[0507] a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition;

[0508] The cell associated with the measurement event;

[0509] The cell included in the measurement report is a measurement report triggered based on the measurement event.

[0510] In some embodiments, the cell associated with the measurement event includes any one of the following:

[0511] Trigger cells in the cell list;

[0512] The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event;

[0513] The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

[0514] In some embodiments, the mobility information includes predicted cell-level measurement results and / or beam-level measurement results, the cell-level measurement results are predicted measurement results of the first cell, and the beam-level measurement results are predicted measurement results of the beam of the first cell.

[0515] FIG4C is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG4C , an embodiment of the present disclosure relates to a measurement method, which can be performed by a network device. The method may include:

[0516] Step S4301: Obtain terminal capability information.

[0517] The optional implementation of step S4301 can be found in step S2101 of FIG. 2A , the optional implementation of step S4101 of FIG. 4A , and other related parts in the embodiments involved in FIG. 2A and FIG. 4A , which will not be repeated here.

[0518] In some embodiments, the network device may receive terminal capability information sent by the terminal.

[0519] In some embodiments, the embodiment shown in FIG. 4C may also be combined with any one or more steps in the embodiment shown in FIG. 4A to form a new embodiment.

[0520] FIG5 is a flow chart of a measurement method according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a measurement method, which can be performed by a communication system and can include:

[0521] Step S5101: The terminal predicts a measurement result based on a measurement event.

[0522] In some embodiments, the prediction of the measurement result may also be referred to as mobility prediction, and the measurement result may also be referred to as mobility information. Mobility information may be obtained through the mobility prediction.

[0523] Exemplarily, the terminal performs prediction of the measurement result, which may be that the terminal performs prediction of the measurement result based on an AI model.

[0524] Exemplarily, the prediction of the measurement results may be prediction of cell-level measurement results and / or beam-level measurement results.

[0525] In some embodiments, when a measurement event is met (or when measurement reporting is initiated), the terminal initiates a measurement result prediction process.

[0526] In some embodiments, when the leaving condition of the measurement event is always met and measurement reporting is started due to reportonLeave, the terminal starts the measurement result prediction process.

[0527] Optionally, the measurement event may be any one or more of the following events: events A1 to A6, events B1 to B2, event A3H1, event A3H2, event A4H1, event A4H2, event A5H1, and event A5H2.

[0528] In some embodiments, the terminal may predict the measurement result based on the measurement event, which may include one or more of the following situations:

[0529] The terminal predicts the measurement results of the cells that meet the measurement event;

[0530] The terminal predicts the measurement result of the current serving cell. Exemplarily, the serving cell includes one or more of PCell, PSCell, and SCell.

[0531] The terminal predicts the measurement results of the best non-serving cell (or neighboring cell). For example, the best non-serving cell is the non-serving cell with the highest measurement result (RSRP / RSRQ / SINR) in the frequency point corresponding to the serving cell. For example, the serving cell includes one or more of PCell, PSCell, and SCell.

[0532] The terminal can predict the beam-level measurement results for the beams that can be detected by these cells, or determine the corresponding beams based on the network configuration to predict the beam-level measurement results.

[0533] In some embodiments, the terminal predicts the measurement result based on the measurement event, and the terminal performs the prediction of the measurement result for the cell included in the measurement report.

[0534] In some embodiments, the terminal predicts a measurement result for a cell that satisfies a measurement event, including one or more of the following situations:

[0535] The terminal performs prediction of measurement results on cells in the triggering cell list;

[0536] The terminal performs measurement result prediction on the cell corresponding to the current measurement report trigger, that is, the cell newly added to the trigger cell list compared with the last measurement report trigger.

[0537] Exemplarily, the trigger cell list includes all cells that meet the measurement event. When a cell meets the entry condition of the measurement event throughout the entire TTT, the cell is included in the trigger cell list and the measurement report is started. When a cell in the trigger cell list meets the exit condition of the measurement event throughout the entire TTT, the cell is removed from the trigger cell list. If reportonleave is set, a measurement report is started.

[0538] In some embodiments, in response to whether the measurement event is satisfied based on actual measurement results, the terminal performs time domain measurement result prediction to predict future measurement results of the above cell (including cell-level and / or beam-level measurement results).

[0539] In some embodiments, in response to whether the measurement event is satisfied based on prediction, the terminal performs spatial and / or time domain measurement result prediction, and predicts the current and / or future measurement results of the above-mentioned cell (including cell-level and / or beam-level measurement results).

[0540] Exemplarily, whether the measurement event satisfies the prediction is determined based on one or more of the following two conditions:

[0541] Whether the measurement event is met and which cells meet the measurement event are directly obtained through AI prediction;

[0542] Whether the measurement event is satisfied and which cells satisfy the measurement event are determined by evaluating the predicted cell measurement results.

[0543] In some embodiments, based on the configuration of the network device, the terminal predicts the measurement result based on the measurement event.

[0544] In some embodiments, the network device may indicate whether the terminal can predict the measurement result based on the measurement event, or whether the corresponding predicted measurement result needs to be included in the measurement report.

[0545] The indication information may be included in the measurement configuration, for example, associated with the corresponding measurement event in the reporting configuration.

[0546] In some embodiments, the network device may further indicate to the terminal whether the prediction result of the time domain needs to be included, and the network device may further indicate to the terminal whether the prediction result of the spatial domain needs to be included.

[0547] In some embodiments, the network device may further configure parameters related to time domain prediction and / or spatial domain prediction, such as time information corresponding to time domain prediction, such as a time window, a future time point or a timer.

[0548] In some embodiments, terminal capability 1 may be introduced, and the terminal capability 1 may be used to indicate that the terminal can perform terminal-side measurement result prediction. The terminal may report capability 1 to indicate that the terminal supports measurement result prediction.

[0549] In some embodiments, terminal capability 2 may be introduced, and the terminal capability 2 may be used to indicate that the terminal may carry predicted measurement results in a measurement report.

[0550] In some embodiments of the present disclosure, a communication system is provided, which may include a terminal and a network device, wherein the terminal can execute the measurement method performed by the terminal in the aforementioned embodiment of the present disclosure; the network device can execute the measurement method performed by the network device in the aforementioned embodiment of the present disclosure.

[0551] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0552] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0553] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution 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 relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by a processor as 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 to implement the hardware circuit configuration 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. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0554] Figure 6A is a structural diagram of a terminal proposed in an embodiment of the present disclosure. As shown in Figure 6A, the terminal 101 may include: at least one of a transceiver module 211, a processing module 212, etc. In some embodiments, the processing module 212 is configured to perform mobility prediction based on a measurement event, and the mobility prediction is used to predict and obtain the mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations. Optionally, the transceiver module 211 can be used to execute at least one of the communication steps such as sending and / or receiving (for example, step S2101, step S2102, step S2104, but not limited thereto) performed by the terminal in any of the above methods, which will not be repeated here. Optionally, the processing module 212 can be used to execute at least one of the other steps (for example, step S2103, but not limited thereto) performed by the terminal in any of the above methods, which will not be repeated here.

[0555] Figure 6B is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure. As shown in Figure 6B, the network device 102 may include: at least one of a transceiver module 221, a processing module 222, etc. In some embodiments, the transceiver module 221 is configured to send first information to the terminal, wherein the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, the mobility prediction is used to predict and obtain the mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations. Optionally, the transceiver module 221 can be used to execute at least one of the communication steps such as sending and / or receiving (for example, step S2101, step S2102, step S2104, but not limited thereto) performed by the network device in any of the above methods, which will not be repeated here. Optionally, the processing module 222 can be used to execute at least one of the other steps (for example, step S2103, but not limited thereto) performed by the network device in any of the above methods, which will not be repeated here.

[0556] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0557] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0558] Figure 7A is a schematic diagram of the structure of a communication device proposed in an embodiment of the present disclosure. The communication device 300 can be a network device (such as an access network device, a core network device, etc.), or a terminal (such as a user device, etc.), or a chip, chip system, or processor that supports a network device to implement any of the above methods, or a chip, chip system, or processor that supports a terminal to implement any of the above methods. The communication device 300 can be used to implement the method described in the above method embodiment. For details, please refer to the description of the above method embodiment.

[0559] As shown in Figure 7A, the communication device 300 includes one or more processors 301. The processor 301 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal, a terminal chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 300 can be used to perform any of the above methods. Optionally, one or more processors 301 are used to call instructions to enable the communication device 300 to perform any of the above methods.

[0560] In some embodiments, the communication device 300 may further include one or more transceivers 302. When the communication device 300 includes one or more transceivers 302, the transceiver 302 may perform at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2102, and step S2104, but not limited thereto), and the processor 301 may perform at least one of the other steps (for example, step S2103, but not limited thereto).

[0561] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0562] In some embodiments, the communication device 300 also includes one or more memories 303 for storing data. Alternatively, all or part of the memories 303 may be located outside the communication device 300. In alternative embodiments, the communication device 300 may include one or more interface circuits 304. Optionally, the interface circuits 304 are connected to the memories 303 and can be used to receive data from the memories 303 or other devices, or to send data to the memories 303 or other devices. For example, the interface circuits 304 can read data stored in the memories 303 and send the data to the processor 301.

[0563] The communication device 300 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 300 described in the present disclosure is not limited thereto, and the structure of the communication device 300 may not be limited by FIG. 7A. The communication device may be an independent device or may be part of a larger device. For example, the communication device 300 may be: (1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal, an intelligent terminal, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0564] FIG7B is a schematic diagram of the structure of the chip 400 proposed in an embodiment of the present disclosure. If the communication device 300 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 400 shown in FIG7B , but the present disclosure is not limited thereto.

[0565] The chip 400 includes one or more processors 401 , and the chip 400 is configured to execute any of the above methods.

[0566] In some embodiments, chip 400 further includes one or more interface circuits 404. Alternatively, the terms interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 400 further includes one or more memories 403 for storing data. Alternatively, all or part of memories 403 may be located external to chip 400.

[0567] Optionally, the interface circuit 404 is connected to the memory 403. The interface circuit 404 can be used to receive data from the memory 403 or other devices, and the interface circuit 404 can be used to send data to the memory 403 or other devices. For example, the interface circuit 404 can read data stored in the memory 403 and send the data to the processor 401.

[0568] In some embodiments, the interface circuit 404 performs at least one of the communication steps (e.g., step S2101, step S2102, and step S2104) of the aforementioned method. For example, the interface circuit 404 performing the communication steps (e.g., step S2101, step S2102, and step S2104) of the aforementioned method means that the interface circuit 404 performs data exchange between the processor 401, chip 400, memory 403, or a transceiver device. In some embodiments, the processor 401 may perform at least one of the other steps (e.g., step S2103, but not limited thereto).

[0569] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0570] The embodiments of the present disclosure further provide a storage medium having instructions stored thereon. When the instructions are executed on the communication device 300, the communication device 300 executes 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 is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0571] The present disclosure also provides a program product that, when executed by the communication device 300, causes the communication device 300 to perform any of the above optional methods. Alternatively, the program product may be a computer program product. Alternatively, the computer program product may include a computer program that, when executed by the communication device, implements any of the above optional methods.

[0572] The embodiment of the present disclosure also provides a computer program, which, when executed on a computer, enables the computer to execute any of the above optional methods.

Claims

1. A measurement method, characterized in that: Executed by a terminal, the method includes: Mobility prediction is performed based on the measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

2. The method according to claim 1, characterized in that The mobility prediction is a prediction for a first cell, where the first cell includes at least one of the following: The current serving cell of the terminal; a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal; a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal; a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition; a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition; The cell associated with the measurement event; The cell included in the measurement report is a measurement report triggered based on the measurement event.

3. The method according to claim 2, characterized in that The cell associated with the measurement event includes any one of the following: Trigger cells in the cell list; The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event; The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

4. The method according to claim 2, characterized in that The mobility information includes a predicted cell-level measurement result and / or a beam-level measurement result, where the cell-level measurement result is a predicted measurement result of the first cell, and the beam-level measurement result is a predicted measurement result of the beam of the first cell.

5. The method according to any one of claims 1 to 4, characterized in that The performing mobility prediction based on the measurement event includes: Determine the event that satisfies the measurement; The mobility prediction is performed.

6. The method according to claim 5, wherein determining that a measurement event is satisfied comprises any one of the following: Determining that the measurement result of the terminal meets the entry condition of the measurement event; It is determined that the measurement result of the terminal meets the entry condition of the measurement event within a triggering time.

7. The method according to any one of claims 1 to 4, characterized in that The performing mobility prediction based on the measurement event includes: Determining the measurement event is not met; The mobility prediction is performed.

8. The method according to claim 7, wherein determining that the measurement event is not satisfied comprises any one of the following: Determining that the measurement result of the terminal meets the exit condition of the measurement event; It is determined that the measurement result of the terminal meets the exit condition of the measurement event within the triggering time.

9. The method according to any one of claims 1 to 4, characterized in that The performing mobility prediction based on the measurement event includes: Determining that a first condition is met, and performing the mobility prediction; Wherein, determining that the first condition is satisfied includes any one of the following: determining that a measurement result of the terminal meets a condition for sending a measurement report based on the measurement event; It is determined that the measurement result of the terminal meets the leaving condition of the measurement event within the triggering time, and it is determined based on the measurement configuration information that a measurement report needs to be reported when the leaving condition is met.

10. The method according to any one of claims 5 to 9, characterized in that The measurement result of the terminal is a real measurement result at the current time or before.

11. The method according to claim 10, characterized in that The method further comprises: The cell associated with the measurement event is determined according to the actual measurement result.

12. The method according to claim 11, characterized in that The mobility prediction includes time domain prediction, and the time domain prediction is used to determine mobility information at a future time.

13. The method according to any one of claims 5 to 9, characterized in that The measurement result of the terminal is a predicted measurement result at the current time or before.

14. The method according to claim 13, characterized in that The method further comprises: A cell associated with the measurement event is determined according to the predicted measurement result.

15. The method according to claim 13, characterized in that The mobility prediction includes spatial domain prediction and / or temporal domain prediction, and the spatial domain prediction is used to determine mobility information at a current time.

16. The method according to any one of claims 1 to 4, characterized in that The method further comprises at least one of the following: determining whether the measurement event is satisfied based on the prediction; A cell associated with the measurement event is determined based on the prediction.

17. The method according to any one of claims 1 to 16, characterized in that The method further comprises: First information sent by a network device is received, where the first information is used to determine whether to perform mobility prediction based on a measurement event.

18. The method according to claim 17, characterized in that The first information includes at least one of the following: second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event; third information, where the third information is used to indicate whether the terminal reports the predicted mobility information; Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information; fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace; The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

19. The method according to claim 17 or 18, characterized in that The first information is carried by measurement configuration.

20. The method according to claim 19, characterized in that The measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

21. The method according to any one of claims 1 to 20, characterized in that The method further comprises: A measurement report is sent to a network device, where the measurement report includes the mobility information.

22. The method according to any one of claims 1 to 21, characterized in that The method further comprises: Send terminal capability information to network devices; The terminal capability information includes at least one of the following: first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction; second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report; The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

23. A measurement method, characterized in that: Executed by a network device, the method includes: First information is sent to a terminal, where the first information is used to indicate whether the terminal performs mobility prediction based on a measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used by the terminal to perform a mobility operation.

24. The method according to claim 23, wherein The first information includes at least one of the following: second information, where the second information is used to indicate whether the terminal performs the mobility prediction based on the measurement event; third information, where the third information is used to indicate whether the terminal reports the predicted mobility information; Fourth information, the fourth information being used to indicate whether the terminal reports the predicted time domain mobility information; fifth information, the fifth information being used to indicate whether the terminal reports the predicted mobility information of the airspace; The sixth information includes parameters used by the terminal to perform the mobility prediction, where the mobility prediction includes spatial domain prediction and / or time domain prediction.

25. The method according to claim 23 or 24, characterized in that The first information is carried by measurement configuration.

26. The method according to claim 25, characterized in that The measurement configuration includes at least one of a reporting configuration, a measurement object configuration, and a measurement identifier configuration corresponding to the measurement event.

27. The method according to any one of claims 23 to 26, characterized in that The method further comprises: A measurement report sent by the terminal is received, where the measurement report includes the mobility information.

28. The method according to any one of claims 23 to 27, characterized in that The method further comprises: receiving terminal capability information sent by the terminal; The terminal capability information includes at least one of the following: first capability information, where the first capability information is used to indicate whether the terminal has the capability to perform the mobility prediction; second capability information, where the second capability information is used to indicate whether the terminal has the capability to carry the mobility information in a measurement report; The third capability information is used to indicate whether the terminal has the capability of performing the mobility prediction based on the measurement event.

29. The method according to any one of claims 23 to 28, characterized in that The mobility prediction is a prediction for a first cell, where the first cell includes at least one of the following: The current serving cell of the terminal; a first neighboring cell, where the first neighboring cell is one or more, and the first neighboring cell is a cell with the strongest signal strength in a first neighboring cell set of the terminal, and the first neighboring cell set includes neighboring cells having the same frequency as a current serving cell of the terminal; a second neighboring cell, where the second neighboring cell is a cell with the strongest signal strength in a second neighboring cell set of the terminal, and the second neighboring cell set includes all neighboring cells measured by the terminal; a third neighboring cell, where there are one or more third neighboring cells, and the third neighboring cell is a cell in the first neighboring cell set whose signal strength meets the condition; a fourth neighboring cell, where the fourth neighboring cell is a cell in the second neighboring cell set whose signal strength meets the condition; The cell associated with the measurement event; The cell included in the measurement report is a measurement report triggered based on the measurement event.

30. The method according to claim 29, wherein The cell associated with the measurement event includes any one of the following: Trigger cells in the cell list; The newly added cells in the triggered cell list are cells that are added to the triggered cell list corresponding to the current measurement report compared to the triggered cell list corresponding to the previous measurement report, and the measurement report is a measurement report triggered based on the measurement event; The removed cells corresponding to the triggered cell list are cells whose triggered cell list corresponding to the current measurement report is reduced compared to the triggered cell list corresponding to the previous measurement report.

31. The method according to claim 30, wherein The mobility information includes a predicted cell-level measurement result and / or a beam-level measurement result, where the cell-level measurement result is a predicted measurement result of the first cell, and the beam-level measurement result is a predicted measurement result of the beam of the first cell.

32. A terminal, characterized in that: include: The processing module is configured to perform mobility prediction based on the measurement event, where the mobility prediction is used to predict and obtain mobility information of the terminal, and the mobility information is used for the terminal to perform mobility operations.

33. A network device, characterized in that: include: The transceiver module is configured to send first information to the terminal, wherein the first information is used to indicate whether the terminal performs mobility based on the measurement event. Prediction, the mobility prediction is used to predict and obtain the mobility information of the terminal, and the mobility information is used by the terminal to perform mobility operations.

34. A communication device, characterized in that: include: one or more processors; The communication device is configured to perform the measurement method according to any one of claims 1 to 22 or claims 23 to 31.

35. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to perform the measurement method according to any one of claims 1 to 22 or claims 23 to 31.

36. A computer program product comprising a computer program, characterized in that When the computer program is executed by a communication device, the measurement method according to any one of claims 1 to 22 or claims 23 to 31 is implemented.

37. A communication system, characterized in that: The communication system includes a terminal and a network device, wherein the terminal is configured to implement the measurement method according to any one of claims 1 to 22, and the network device is configured to implement the measurement method according to any one of claims 23 to 31.

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