Communication method, communication device, communication system, storage medium, and program product

Abstract

The invention provides a communication method, a communication device, a communication system, a storage medium and a program product. The method comprises: sending a measurement report to a network device, the measurement report comprising a prediction result of a first cell, the first cell being determined based on at least one of the following: a trigger cell list comprising cells whose measurement results satisfy a reporting condition, and a prediction cell list, the prediction cell list comprising cells whose measurement results satisfy a reporting condition, and the trigger cell list comprising cells whose measurement results satisfy a reporting condition; the predicted cell list comprises a cell corresponding to measurement prediction indicated by the network equipment. In the embodiment of the invention, the terminal sends the measurement report containing the prediction result of the first cell to the network equipment, and the first cell is determined based on the trigger cell list meeting the reporting condition and / or the prediction cell list indicated by the network equipment, so that the network equipment accurately obtains the prediction information of the key cell, thereby optimizing the resource scheduling and improving the user experience. And the operation efficiency and service quality of the communication system are improved.

Description

Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, communication device, communication system, storage medium, and program product. Background Technology

[0002] Wireless communication networks can use artificial intelligence (AI) for prediction and reasoning to improve system performance. Training AI models requires collecting a large amount of data, and the data requirements vary depending on the application scenario. Application scenarios can include mobile communication system processes such as beam management, channel state information (CSI) reporting, CSI compression, positioning, handover, mobility management, and radio resource management. Summary of the Invention

[0003] This disclosure provides a communication method, communication device, communication system, storage medium, and program product.

[0004] According to a first aspect of the embodiments of this disclosure, a communication method is provided, executed by a terminal, the method comprising:

[0005] A measurement report is sent to the network device. The measurement report includes the prediction result of a first cell, which is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

[0006] According to a second aspect of the embodiments of this disclosure, a communication method is provided, performed by a network device, the method comprising:

[0007] The receiving terminal sends a measurement report, which includes the prediction result of a first cell. The first cell is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

[0008] According to a third aspect of the embodiments of this disclosure, a communication device is provided that can be used to perform the methods described in an optional implementation of the first or second aspect.

[0009] According to a fourth aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to perform a method as described in an optional implementation of the first aspect, and the network device is configured to perform a method as described in an optional implementation of the second aspect.

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

[0011] According to a sixth aspect of the present disclosure, a program product is provided, including at least one of a program and instructions, wherein the program and instructions, when executed by a communication device, implement the method described in an optional implementation of the first or second aspect.

[0012] The technical solution provided in this disclosure can produce the following beneficial effects: A measurement report is sent to the network device, the measurement report including the prediction result of a first cell. The first cell is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device. The terminal sends a measurement report containing the prediction result of the first cell to the network device, and the first cell is determined based on the trigger cell list that meets the reporting conditions and / or the prediction cell list indicated by the network device. This enables the network device to accurately obtain the prediction information of key cells, thereby optimizing resource scheduling and improving the operating efficiency and service quality of the communication system.

[0013] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0015] Figure 1A This is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0016] Figure 1B This is a schematic diagram illustrating an observation window and a prediction window according to an embodiment of the present disclosure.

[0017] Figure 1C This is a schematic diagram illustrating an observation window and a prediction window according to an embodiment of the present disclosure.

[0018] Figure 2 This is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure.

[0019] Figure 3A This is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0020] Figure 3B This is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0021] Figure 4A This is a schematic diagram of the structure of a terminal proposed in an embodiment of this disclosure.

[0022] Figure 4B This is a schematic diagram of the structure of a network device proposed in an embodiment of this disclosure.

[0023] Figure 5A This is a schematic diagram of the structure of the communication device proposed in the embodiments of this disclosure.

[0024] Figure 5B This is a schematic diagram of the chip structure proposed in the embodiments of this disclosure. Detailed Implementation

[0025] This disclosure provides a communication method, communication device, communication system, storage medium, and program product.

[0026] In a first aspect, embodiments of this disclosure provide a communication method executed by a terminal, the method comprising:

[0027] A measurement report is sent to the network device. The measurement report includes the prediction result of a first cell, which is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

[0028] In the above embodiments, the terminal sends a measurement report containing the prediction results of the first cell to the network device. The first cell is determined based on the list of trigger cells that meet the reporting conditions and / or the list of predicted cells indicated by the network device, so that the network device can accurately obtain the prediction information of key cells, thereby optimizing resource scheduling and improving the operating efficiency and service quality of the communication system.

[0029] In conjunction with some embodiments of the first aspect, in some embodiments, the first cell includes at least one of the following:

[0030] The cells in the trigger cell list;

[0031] The cells in the predicted cell list;

[0032] Cells included in both the trigger cell list and the predict cell list.

[0033] In the above embodiments, the first cell is flexibly determined as the trigger cell list, the prediction cell list, or the intersection of the two. This can solve the problem of unclear prediction reporting range in event-triggered scenarios, and avoid redundant reporting of non-critical data. This allows network devices to efficiently obtain prediction results of key cells in different dimensions, thereby optimizing resource scheduling more accurately.

[0034] In conjunction with some embodiments of the first aspect, in some embodiments, when the first condition is met, the first cell includes cells contained in both the trigger cell list and the predicted cell list;

[0035] The first condition includes at least one of the following:

[0036] The predicted cell list includes at least one cell from the triggered cell list;

[0037] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0038] In the above embodiments, when the first condition is met, the first cell is determined as the intersection cell of the trigger cell list and the prediction cell list. The intersection operation limits the range of cells that need to be predicted, avoiding the waste of terminal computing resources and power consumption caused by full prediction, while significantly saving uplink signaling overhead.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, when the network device has not configured the predicted cell list and the network device indicates that measurement prediction is performed on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0040] In the above embodiments, when the network device does not configure a predicted cell list but instructs to perform measurement prediction on the cell corresponding to the measurement object, the first cell is determined as a cell in the trigger cell list. This clarifies the reporting object of the prediction result in this scenario, enabling the network device to accurately obtain the prediction results of key cells that meet the reporting conditions, thereby optimizing resource scheduling and improving the operating efficiency of the communication system.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes at least one of the following:

[0042] The cells in the trigger cell list are measured and predicted to obtain the prediction results;

[0043] The predicted cells in the predicted cell list are measured and predicted to obtain the prediction results;

[0044] The cells included in both the trigger cell list and the predicted cell list are measured and predicted to obtain the prediction results.

[0045] In the above embodiments, by measuring and predicting at least one of the trigger cell list, the predicted cell list, and the cells at their intersection to obtain the prediction results, the prediction needs of key cells in different scenarios can be fully covered, providing accurate prediction results for network devices.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0047] The measurement is performed on the cell corresponding to the measurement object indicated by the network device to obtain the measurement result;

[0048] The measurement results are determined to meet the reporting conditions.

[0049] In the above embodiments, measurement prediction is performed only after the measurement results meet the reporting conditions. This can avoid meaningless predictions for cells that do not meet the conditions, thereby reducing redundant overhead, and ensure that the prediction targets focus on key cells of network concern, thus making the reported prediction results more accurate.

[0050] In conjunction with some embodiments of the first aspect, in some embodiments, the prediction result includes at least one of the following:

[0051] The prediction results for all or part of the time points within at least one prediction window;

[0052] The average value of the prediction results for all or part of the time points within at least one prediction window;

[0053] The prediction result for the furthest time point within the prediction window;

[0054] The prediction result for the most recent time point within the prediction window.

[0055] In the above embodiments, the prediction results include all / part of the time point results within at least one prediction window, the average value of the corresponding results, and the farthest / nearest time point results within the window. This can meet the diverse needs of network devices for prediction information of different time dimensions and different data formats of key cells, further optimize resource scheduling, and improve the operating efficiency of the communication system.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0057] The terminal receives a prediction configuration sent by the network device, the prediction configuration being used by the terminal to perform measurement prediction; or...

[0058] The terminal receives a measurement configuration sent by the network device. The measurement configuration is used to instruct the terminal to measure the cell corresponding to the measurement object. The measurement configuration includes the prediction configuration.

[0059] In the above embodiments, by receiving the prediction configuration sent by the network device, or receiving the measurement configuration containing the prediction configuration, the terminal can accurately perform measurement prediction according to network requirements, thereby improving the accuracy of the prediction results.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, the prediction configuration includes at least one of the following: a prediction window, the prediction cell list, and an association identifier corresponding to the prediction cell list.

[0061] In the above embodiments, the prediction configuration includes at least one of the following: prediction window, prediction cell list, and associated identifiers corresponding to the prediction cell list. This provides the terminal with the key parameters required for measurement prediction, ensuring that the terminal accurately executes measurement prediction and improving the accuracy of measurement prediction.

[0062] Secondly, embodiments of this disclosure provide a communication method executed by a network device, the method comprising:

[0063] The receiving terminal sends a measurement report, which includes the prediction result of a first cell. The first cell is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

[0064] In conjunction with some embodiments of the second aspect, in some embodiments, the first cell includes at least one of the following:

[0065] The cells in the trigger cell list;

[0066] The cells in the predicted cell list;

[0067] Cells included in both the trigger cell list and the predict cell list.

[0068] In conjunction with some embodiments of the second aspect, in some embodiments, when the first condition is met, the first cell includes cells contained in both the trigger cell list and the predicted cell list;

[0069] The first condition includes at least one of the following:

[0070] The predicted cell list includes at least one cell from the triggered cell list;

[0071] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0072] In conjunction with some embodiments of the second aspect, in some embodiments, when the network device has not configured the predicted cell list and the network device indicates that measurement prediction is performed on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0073] In conjunction with some embodiments of the second aspect, in some embodiments, the prediction result includes at least one of the following:

[0074] The prediction results for all or part of the time points within at least one prediction window;

[0075] The average value of the prediction results for all or part of the time points within at least one prediction window;

[0076] The prediction result for the furthest time point within the prediction window;

[0077] The prediction result for the most recent time point within the prediction window.

[0078] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0079] Send a prediction configuration to the terminal, the prediction configuration being used by the terminal to perform measurement prediction; or...

[0080] A measurement configuration is sent to the terminal, the measurement configuration being used to instruct the terminal to perform measurements on the cell corresponding to the measurement object, the measurement configuration including the prediction configuration.

[0081] In conjunction with some embodiments of the second aspect, in some embodiments, the prediction configuration includes at least one of the following: a prediction window, the prediction cell list, and an association identifier corresponding to the prediction cell list.

[0082] Thirdly, embodiments of this disclosure propose a terminal that may include at least one of a transceiver module and a processing module; wherein the terminal may be used to execute an optional implementation of the first aspect.

[0083] Fourthly, embodiments of this disclosure provide a network device that may include at least one of a transceiver module and a processing module; wherein the network device may be used to perform an optional implementation of the second aspect.

[0084] Fifthly, embodiments of this disclosure provide a terminal that may include one or more processors; wherein the terminal may be used to execute an optional implementation of the first aspect.

[0085] In a sixth aspect, embodiments of this disclosure provide a network device that may include one or more processors; wherein the network device may be used to perform an optional implementation of the second aspect.

[0086] In a seventh aspect, embodiments of this disclosure provide a communication system that may include: a terminal and a network device; wherein the terminal is configured to perform the method described in the optional implementation of the first aspect, and the network device is configured to perform the method described in the optional implementation of the second aspect.

[0087] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method as described in an optional implementation of the first or second aspect.

[0088] In a ninth aspect, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in an optional implementation of the first or second aspect.

[0089] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in an optional implementation of the first or second aspect.

[0090] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the methods described in optional implementations of the first or second aspect.

[0091] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems can all be used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0092] This disclosure provides a communication method, communication device, communication system, storage medium, and program product. In some embodiments, the terms information transmission method, information processing method, and communication method can be used interchangeably.

[0093] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments. In all embodiments of this disclosure, unless otherwise specified or logically conflicting, the terminology and / or descriptions between the embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0094] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0095] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0096] In the embodiments disclosed herein, "multiple" refers to two or more.

[0097] In some embodiments, the terms “at least one of A or B, at least one of A and B”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0098] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of whether there is a branch B); in some embodiments, B (execute B regardless of whether there is a branch A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, both A and B are executed. The same applies when there are more branches such as A, B, C, etc.

[0099] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execute A regardless of whether a branch B exists); in some embodiments, B (execute B regardless of whether a branch A exists); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, and C.

[0100] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0101] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0102] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0103] In some embodiments, terms such as “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, etc. can be used interchangeably. These descriptions all refer to the device making a corresponding action under certain objective circumstances. They do not necessarily limit the time, nor do they require the device to make a judgment action when implementing it, nor do they mean that there must be other limitations.

[0104] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0105] In some embodiments, devices, etc., may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as “device,” “equipment,” “circuit,” “network element,” “network function,” “network device,” “function,” “node,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0106] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0107] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0108] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriberstation, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, and client can be used interchangeably.

[0109] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, and uplink link, downlink, etc., can be replaced with sidelink link.

[0110] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0111] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0112] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0113] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0114] Figure 1A This is a schematic diagram of the architecture of a communication system according to an embodiment of this disclosure. Figure 1A As shown, the communication system 100 includes a terminal 101 and a network device 102.

[0115] In some embodiments, terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home, but is not limited thereto.

[0116] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0117] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include at least one of the following in a 5G communication system: an evolved Node B (eNB), a next-generation eNB (ng-eNB), a next-generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a radio 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 RAN, a cloud RAN, a base station in other communication systems, and an access node in a Wi-Fi system, but is not limited thereto.

[0118] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0119] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some protocol layer functions are centrally controlled by the CU, while the remaining part or all protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0120] In some embodiments, the core network equipment may be a single device, multiple devices, or a group of devices. The core network may include at least one of the following: Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0121] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0122] The following embodiments of this disclosure can be applied to Figure 1A The communication system 100 shown, or a part thereof, but not limited to it. Figure 1A The entities shown are examples; a communication system may include... Figure 1A All or part of the main body, or may include Figure 1A Other entities besides the main body, the number and form of each entity are arbitrary, each entity can be physical or virtual, the connection relationship between the entities is an example, the entities can be unconnected or connected, and the connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0123] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Futuregeneration Radio Access (FX), Global System for Mobile Communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0124] In some embodiments of this disclosure, machine learning algorithms are one of the most important implementation methods of artificial intelligence technology. Machine learning can obtain models through a large amount of training data, and these models can predict events, achieving very accurate prediction results.

[0125] Wireless communication networks can use AI for prediction and inference to improve system performance. Training AI models requires collecting a large amount of data, and the data requirements vary depending on the application scenario. Application scenarios can include mobile communication system processes such as beam management, CSI reporting, CSI compression, positioning, handover, mobility management, and radio resource management.

[0126] During mobility operations, the UE can predict cell measurement results, handover target cells, or mobility events. The UE's ability to predict future measurement results is called temporal prediction. Alternatively, predicting the measurement results of cells that are not currently being measured is called spatial prediction. Mobility events include the fulfillment of measurement reporting conditions, handover failure, cell dwell time, and radio link failure.

[0127] In time-domain prediction, one or more historical measurements are used as input, and AI predicts future measurements. There are two prediction methods.

[0128] In one predictive approach (case A), the UE continuously performs measurements, predicting future measurement results at each moment. Based on these future measurement results, handover preparation is triggered in advance, or handover is avoided altogether, thereby improving mobility performance. Triggering handover preparation in advance reduces handover failures, while avoiding handover reduces service interruptions. Figure 1B This is a schematic diagram illustrating an observation window and a prediction window according to an embodiment of this disclosure. Figure 1B As shown, at the times corresponding to the white squares, the UE obtains the measurement results through measurement; at the times corresponding to the black squares, the UE obtains the measurement results through prediction. OW is the observation window, and the measurement values ​​within the observation window serve as the input to the AI. PW is the prediction window, and the measurement values ​​within the prediction window are obtained through AI.

[0129] In another prediction method (case B), after the UE predicts the future measurement results, it does not perform the measurement at the time of the prediction result, which can reduce the measurement. Figure 1C This is a schematic diagram illustrating an observation window and a prediction window according to an embodiment of this disclosure. Figure 1C As shown, at the times corresponding to the white squares, the UE obtains the measurement results through measurement; at the times corresponding to the black squares, the UE obtains the measurement results through prediction. OW is the observation window, and PW is the prediction window. The proportion by which the UE reduces measurements is the MRRT.

[0130] In some embodiments, the existing Radio Resource Management (RRM) measurement configuration and reporting framework in the Radio Resource Control (RRC) layer forms the basis for inference configuration and reporting. Upon receiving a complete inference configuration, the UE should always retain that configuration until explicitly released by the network.

[0131] In some embodiments, the following inference parameters can be configured to the UE for inference and applicability assessment:

[0132] The PW length used for case A in the same frequency time domain;

[0133] Information on the measured frequency carrier and the predicted frequency carrier used for inter-frequency prediction;

[0134] The parameters used for co-frequency time domain case B are used to indicate the timing of the network synchronization signal / physical broadcast channel block (SSB) configuration (but not necessarily the timing of the UE performing or skipping measurements);

[0135] The list of optional cells for co-frequency time-domain case A, the network expects to obtain inference reports for these cells (if they exist);

[0136] Optional beam patterns, such as those used for co-frequency spatial prediction to save SSB transmission;

[0137] Optional Associated ID.

[0138] In some embodiments, during non-AI RRM measurement, the UE performs actual measurements and reports real measurement results based on the network-side measurement configuration. Non-AI RRM measurement reporting supports periodic measurement reporting and event-triggered measurement reporting.

[0139] If Case A RRM measurement prediction is configured, it can be applied to both periodic measurement reporting and event-triggered measurement reporting, meaning that it supports including future measurement results predicted by Case A (hereinafter referred to as prediction results) in both periodic and event-triggered RRM measurement reports. In other words, with Case A prediction configured, the triggering method for RRM measurement reporting can also follow the triggering method for RRM measurement reporting in the non-AI case.

[0140] In some embodiments, for event-triggered measurement reports, the UE only needs to report the measurement results of the cells that meet the measurement event, that is, the measurement results of the cells in the CellTriggerList corresponding to the measurement event.

[0141] In some embodiments, for Case A prediction, the network side can configure corresponding Associated IDs for different prediction objects (such as neighboring cells) and enable the corresponding Case A predictions respectively. However, unlike periodic reporting, event-triggered measurement reports only carry the measurement results of cells in the triggering cell list, so deciding which cell prediction results to report becomes an urgent problem to be solved.

[0142] Figure 2 This is an interactive schematic diagram illustrating a communication method according to an embodiment of this disclosure. The method can be executed by the aforementioned communication system. Figure 2 As shown, the method may include:

[0143] Step S2101: The network device sends the measurement configuration to the terminal.

[0144] In some embodiments, the measurement configuration can be used to configure any one or more of the following: Layer 1 measurement, Layer 3 measurement, Layer 2 measurement, beam measurement, cell measurement, serving cell measurement, neighboring cell measurement, Layer 1 / L2 Triggered Mobility (LTM) measurement, mobility measurement, RRM measurement, and Multiple-Input Multiple-Output (MIMO) measurement.

[0145] In some embodiments, the network device may send a measurement configuration to the terminal, which instructs the terminal to perform measurements on the cell corresponding to the measurement object.

[0146] In some embodiments, network devices can send measurement configurations to terminals via RRC signaling.

[0147] In some embodiments, a measurement configuration may include at least one of the following: one or more measurement objects, one or more report configurations, one or more measurement resource configurations, and one or more measurement identifier configurations.

[0148] In some embodiments, the measurement object is used to indicate the radio resource target that the terminal needs to measure, such as carrier frequency, measurement bandwidth, cell list, etc. The carrier frequency can indicate the frequency point location to be measured, the measurement bandwidth can indicate the frequency range to be measured, and the cell list can indicate the specific set of cells to be measured. Exemplarily, the measurement object can also be a measurement resource configuration.

[0149] In some embodiments, the report configuration includes rules for instructing the terminal to report measurement results, which may include, for example, measurement events and reporting periods. Measurement events may specify the type of condition that triggers reporting, such as events A1–A6, B1, and B2. The reporting period may indicate the time interval for reporting. For example, measurement events may be based on cell measurement results, beam measurement results, or any one or more of information such as UE location, speed, distance, altitude, and signal strength.

[0150] It should be noted that the reporting configuration in this embodiment can be a measurement event.

[0151] In some embodiments, the measurement configuration may include a prediction configuration, which is a component of the measurement configuration and is uniformly configured to the terminal by the network device. For example, a prediction configuration unit may be added to the measurement configuration, or a list of predicted cells may be indicated in the measurement configuration, or prediction-related parameters may be defined in the measurement configuration.

[0152] In some embodiments, network devices may also send predictive configurations via separate signaling messages.

[0153] In some embodiments, the prediction configuration is used by the terminal to perform measurement-related predictions, such as measurement result prediction, measurement event prediction, and any one or more of these.

[0154] In some embodiments, the name of the prediction configuration is not limited, and may be, for example, "AI prediction configuration", "inference configuration", "AI inference configuration", "artificial intelligence / machine learning (AI / ML) prediction configuration", etc.

[0155] In some embodiments, the prediction configuration may include at least one of the following: a prediction window, a prediction cell list, a prediction cell, or an associated identifier corresponding to the prediction cell list.

[0156] In some embodiments, the prediction window is a time parameter configured by the network device that defines the time range for prediction, and can be simply referred to as PW.

[0157] In some embodiments, the predicted cell list is a set of cells that need to be predicted, as indicated by the network device.

[0158] In some embodiments, the associated identifier corresponding to the predicted cell or the list of predicted cells is used by the terminal to determine whether measurement prediction can be performed. For example, this associated identifier may be used to indicate additional conditions on the network side corresponding to the predicted cell or the list of predicted cells, or related network-side configurations or characteristics.

[0159] Step S2102: The terminal measures the cell corresponding to the measurement object indicated by the network device and obtains the measurement result.

[0160] In some embodiments, when the measurement object is configured as a carrier frequency, "the cell corresponding to the measurement object" can be understood as all cells detected on that carrier frequency.

[0161] In some embodiments, when the measurement object is configured to measure bandwidth, "the cell corresponding to the measurement object" can be understood as all cells that can be detected within the specified bandwidth range.

[0162] In some embodiments, when the measurement object is configured as a cell list, "the cell corresponding to the measurement object" can be understood as the cell specified in the cell list.

[0163] In some embodiments, after receiving the measurement configuration sent by the network device, the terminal can initiate a measurement process, measure the target cell according to the indicated measurement configuration, and obtain measurement results. These measurement results may be, for example, Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), or Signal to Interference plus Noise Ratio (SINR), but this disclosure does not limit the specific measurements.

[0164] For example, if the measurement configuration indicates the cell list {Cell1, Cell2, Cell3} corresponding to the measurement object, the terminal can measure these three cells and obtain the measurement results for each cell.

[0165] Step S2103: The terminal determines that the measurement result meets the reporting conditions.

[0166] In some embodiments, the reporting condition may be a triggering condition for a measurement event.

[0167] It should be noted that the measurement event can be a non-AI measurement event, meaning that the terminal determines whether the triggering conditions of the measurement event are met based on the actual measurement results.

[0168] In some embodiments, if the terminal detects that the measurement results of one or more cells corresponding to the measurement object meet the triggering conditions of the measurement event, it is determined that the measurement results meet the reporting conditions.

[0169] Taking the A3 event as an example, the terminal continuously monitors the RSRP of the serving cell and all neighboring cells. During the entire triggering time, when it is found that the RSRP of any neighboring cell (such as Cell2) is higher than the RSRP of the serving cell by a configured offset value (such as 2dB), the triggering condition of the A3 event is determined to be met.

[0170] In some embodiments, the terminal executes step S2104 when it determines that the measurement result meets the reporting conditions. That is, the terminal only initiates measurement prediction after triggering the reporting of a measurement report, thereby effectively saving power consumption. Alternatively, the terminal only initiates measurement prediction after a measurement event is met, for example, after the actual measurement result meets the measurement event, thereby effectively saving power consumption.

[0171] In some embodiments, the terminal may also make predictions directly independent of the measurement process, or start predictions before the measurement begins to obtain more comprehensive prediction results. In this case, steps S2102 and / or S2103 may be omitted.

[0172] Step S2104: The terminal performs measurement prediction and obtains the prediction result.

[0173] In some embodiments, measurement prediction can be Case A prediction, meaning the terminal predicts the signal quality over a future period at the moment measurement is initiated. Alternatively, the terminal predicts the measurement results over a future period, which corresponds to a prediction window (PW).

[0174] In some embodiments, the terminal can perform measurement prediction on the first cell to obtain the prediction result.

[0175] In some embodiments, the first cell includes at least one of the following:

[0176] Trigger cells in the cell list;

[0177] Predict the cells in the cell list;

[0178] Cells included in both the trigger cell list and the predicted cell list.

[0179] In some embodiments, the trigger cell list includes cells whose measurement results meet the reporting conditions. It should be understood that the trigger cell list includes cells whose measurement results meet the reporting conditions among the cells corresponding to the measurement object indicated by the network device. For example, the measurement results refer to actual measurement results.

[0180] Taking the A3 event as an example, for each cell corresponding to the UE detection and measurement object, all cells that meet the triggering conditions of the A3 event are filtered out and a list of triggering cells is generated.

[0181] In some embodiments, "cells included in both the trigger cell list and the predicted cell list" can be understood as cells in the intersection of the trigger cell list and the predicted cell list. For example, if the trigger cell list is {Cell A, Cell B, Cell C, Cell D, Cell E} and the predicted cell list is {Cell D, Cell E, Cell F, Cell G}, then the cells included in both the trigger cell list and the predicted cell list are the intersection {Cell D and Cell E}.

[0182] In some embodiments, if a first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list.

[0183] In some embodiments, the first condition includes at least one of the following:

[0184] The predicted cell list includes at least one cell from the triggered cell list;

[0185] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0186] In some embodiments, the first condition may be that the predicted cell list includes a cell in the trigger cell list.

[0187] In some embodiments, the first condition may be that the predicted cell list includes multiple (some or all) cells in the trigger cell list.

[0188] In some embodiments, the first condition may be that the measurement results of a cell in the predicted cell list meet the reporting conditions.

[0189] In some embodiments, the first condition may be that the measurement results of multiple (partial or all) cells in the predicted cell list meet the reporting conditions.

[0190] In some embodiments, "the predicted cell list includes at least one cell in the trigger cell list" can be understood as one or more (not all) cells in the trigger cell list existing in the predicted cell list, or all cells in the trigger cell list existing in the predicted cell list.

[0191] In some embodiments, the terminal may generate a trigger cell list based on the measurement results of the cell corresponding to the measurement object, and compare the trigger cell list with the predicted cell list. For example, the terminal may iterate through each cell identifier in the trigger cell list, verify whether it exists in the predicted cell list, and identify the cell that exists in both the trigger cell list and the predicted cell list as the first cell.

[0192] In some embodiments, "the measurement results of at least one cell in the predicted cell list meet the reporting conditions" can be understood as the actual measurement results of one or more cells in the predicted cell list meeting the triggering conditions of the measurement event. It should be understood that the cells in the predicted cell list that meet the triggering conditions of the measurement event are already included in the triggering cell list. In this case, the cells in the predicted cell list that meet the triggering conditions of the measurement event can be identified as the first cell.

[0193] In some embodiments, when the network device does not configure a predicted cell list and the network device instructs to perform measurement prediction on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0194] In some embodiments, if the network device does not configure a predicted cell list, it can be understood that the measurement prediction is performed on the cell corresponding to the measurement object by default. That is, if the prediction configuration does not include a predicted cell list parameter, the terminal will default to identifying the cell in the trigger cell list as the first cell, without the network device needing to send an additional display command.

[0195] In some embodiments, the network device may also choose to display an indication to predict the measurement of the cell corresponding to the measurement object, for example by setting a specific indication bit or parameter. This disclosure does not limit this.

[0196] In some embodiments, the terminal performs measurement prediction on cells in the trigger cell list to obtain prediction results.

[0197] In some embodiments, the terminal performs measurement prediction on the cells in the predicted cell list to obtain the prediction result.

[0198] In some embodiments, the terminal performs measurement and prediction on cells included in both the trigger cell list and the predicted cell list to obtain prediction results.

[0199] In some embodiments, when the network device is not configured with a predicted cell list, the terminal can perform measurement prediction on the cells in the triggered cell list after generating the triggered cell list.

[0200] For example, the terminal measures the cell corresponding to the measurement object indicated by the network device, obtains the measurement results, and performs measurement prediction on the cells that meet the reporting conditions, obtaining the prediction results. In this case, the terminal only needs to run the prediction model for a small number of cells, resulting in low power consumption.

[0201] It should be noted that when the network device is configured with a predicted cell list, the terminal may also choose to perform measurement and prediction only on cells in the triggered cell list, and this embodiment does not limit this.

[0202] In some embodiments, when the network device is configured with a predicted cell list, the terminal can perform measurement predictions on the cells in the predicted cell list to obtain prediction results. That is, the terminal performs measurement predictions on all cells pre-specified by the network device through prediction configuration, regardless of whether the cell currently meets the triggering conditions for a measurement event. This allows the network device to obtain more comprehensive prediction data, enabling timely responses in ultra-high reliability or low-latency communication scenarios and improving communication quality.

[0203] In some embodiments, when the network device is configured with a predicted cell list, the terminal can perform measurement predictions on cells included in both the trigger cell list and the predicted cell list.

[0204] For example, the terminal performs measurement and prediction on cells that exist in both the trigger cell list and the prediction cell list. In this way, the terminal only needs to perform measurement and prediction on cells that meet the reporting conditions and are of interest to the network devices, thereby achieving more precise control, further narrowing the prediction range, and reducing the terminal's power consumption.

[0205] In some embodiments, the prediction result can be the result of the prediction in Case A.

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

[0207] The prediction results for all or part of the time points within at least one prediction window;

[0208] The average of the prediction results for all or part of the time points within at least one prediction window;

[0209] The prediction result for the furthest time point within the prediction window;

[0210] The prediction result for the most recent time point within the prediction window.

[0211] It should be understood that the prediction result is the predicted value of the terminal at a specific time point within the prediction window. These specific time points can be called "instances". Some time points can be understood as one or more instances, and all time points can be understood as all instances.

[0212] In some embodiments, the prediction result of an instance represents the predicted value at a future time, such as the predicted value at the end of the prediction window.

[0213] In some embodiments, the prediction results of multiple instances represent the predicted values ​​at multiple discrete moments in the future, such as the predicted values ​​at the beginning, middle, and end of the prediction window.

[0214] In some embodiments, the prediction results for all instances represent complete sequence data for all prediction time points within the prediction window, which can be understood as a curve of predicted value changes.

[0215] In some embodiments, the average of the prediction results may be the average of the predicted values ​​of all instances within the prediction window, or the average of the predicted values ​​of a portion of the instances within the prediction window.

[0216] In some embodiments, the farthest time point within the prediction window can be understood as the time point within the prediction window that is farthest from the current time, such as the end time of the prediction window.

[0217] In some embodiments, the most recent time point within the prediction window can be understood as the time point within the prediction window that is closest to the current time, such as the start time of the prediction window.

[0218] In some embodiments, the prediction results for partial time points within multiple prediction windows may include the prediction results for partial time points within each prediction window. The time points within each prediction window may be the same or different, and this disclosure does not limit this.

[0219] In some embodiments, the average of the prediction results at some time points within multiple prediction windows may include the average of the prediction results at some time points within each prediction window, i.e., each prediction window corresponds to an average value, or it may be the average of the prediction results at multiple time points within multiple prediction windows, i.e., multiple prediction windows correspond to one average value. This disclosure does not limit this aspect.

[0220] For example, the prediction results include the prediction results for all instances within a prediction window.

[0221] For example, the prediction results include the prediction results for a portion of the instance within a prediction window.

[0222] For example, the prediction results include the prediction results of all instances within multiple prediction windows.

[0223] For example, the prediction results include the prediction results of partial instances within multiple prediction windows.

[0224] For example, the prediction results include the average of the prediction results for all instances within a prediction window.

[0225] For example, the prediction results include the average of the prediction results for a portion of the instances within a prediction window.

[0226] For example, the prediction results include the average of the prediction results for all instances within multiple prediction windows.

[0227] For example, the prediction results include the average of the prediction results of partial instances within multiple prediction windows.

[0228] For example, the prediction results include the prediction results for the furthest time point within the prediction window.

[0229] For example, the prediction results include the prediction results for the most recent time point within the prediction window.

[0230] For example, the prediction results include predictions for the furthest and most recent time points within the prediction window.

[0231] It should be noted that the above prediction results are illustrative and are not intended to limit the scope of this disclosure.

[0232] Step S2105: The terminal sends a measurement report to the network device.

[0233] In some embodiments, the measurement report includes predictions for the first cell.

[0234] In some embodiments, the measurement report may also include measurement results of cells in the trigger cell list, which are actual measurement values.

[0235] In some embodiments, if the first cell includes cells in the trigger cell list, the measurement report includes the measurement results and prediction results for each cell in the trigger cell list.

[0236] In some embodiments, if the first cell includes cells in the predicted cell list, the measurement report includes the measurement results and prediction results for each cell in the predicted cell list.

[0237] In some embodiments, if the first cell includes cells that are included in both the trigger cell list and the predicted cell list, then the measurement report includes the measurement results and prediction results of cells that are included in both the trigger cell list and the predicted cell list.

[0238] In some embodiments, the terminal sends a measurement report to the network device via RRC signaling.

[0239] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0240] In some embodiments, the terms "codebook," "codeword," and "precoding matrix" can be used interchangeably. For example, a codebook can be a collection of one or more codewords / precoding matrices.

[0241] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0242] In some embodiments, the terms “downlink control information (DCI),” “downlink (DL) assignment,” “DL DCI,” “uplink (UL) grant,” and “UL DCI” can be used interchangeably.

[0243] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, as can terms such as "physical uplink shared channel (PUSCH)" and "UL data".

[0244] In some embodiments, the terms “radio”, “wireless”, “radioaccess network (RAN)”, “access network (AN)”, and “RAN-based” can be used interchangeably.

[0245] In some embodiments, the terms "search space", "search spaceset", "search space configuration", "search spaceset configuration", "control resource set (CORESET)", and "CORESET configuration" can be used interchangeably.

[0246] In some embodiments, the terms "synchronization signal (SS)," "synchronization signal block (SSB)," "reference signal (RS)," "pilot," and "pilot signal" can be used interchangeably.

[0247] In some embodiments, terms such as “moment,” “point in time,” “time,” and “time location” can be used interchangeably, as can terms such as “duration,” “segment,” “time window,” “window,” and “time.”

[0248] In some embodiments, the terms "component carrier (CC)," "cell," "frequency carrier," and "carrier frequency" can be used interchangeably.

[0249] In some embodiments, the terms “resource block (RB)”, “physical resource block (PRB)”, “sub-carrier group (SCG)”, “resource element group (REG)”, “PRB pair”, “RB pair”, “resource element (RE)”, and “sub-carrier” can be used interchangeably.

[0250] In some embodiments, terms such as wireless access scheme and waveform can be used interchangeably.

[0251] In some embodiments, the terms "precoding", "precoder", "weight", "precoding weight", "quasi-co-location (QCL)", "transmission configuration indication (TCI) status", "spatial relation", "spatial domain filter", "transmission power", "phase rotation", "antenna port", "antenna port group", "layer", "the number of layers", "rank", "resource", "resource set", "resource group", "beam", "beam width", "beam angle", "antenna", "antenna element", and "panel" can be used interchangeably.

[0252] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, and “transmission time interval (TTI)” can be used interchangeably.

[0253] In some embodiments, "acquire," "get," "obtain," "receive," "transmit," "bidirectional transmission," and "send and / or receive" can be used interchangeably and can be interpreted as receiving from other entities, acquiring from protocols, acquiring from higher layers, obtaining through self-processing, or autonomous implementation. Protocols include, for example, at least one of the 3GPP protocol, Wi-Fi protocol, and audio and / or video protocols.

[0254] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0255] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0256] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0257] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data and / or instructions received; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0258] In some embodiments, if an arrow in the interaction diagram representing the sending of information, signaling, etc. from one subject to another passes through other subjects, it can be interpreted as the information being forwarded from one subject to another via other subjects, or it can be interpreted as the information being sent from one subject to another without passing through other subjects.

[0259] Using the above method, the terminal sends a measurement report containing the prediction results of the first cell to the network device. The first cell is determined based on the list of trigger cells that meet the reporting conditions and / or the list of predicted cells indicated by the network device. This enables the network device to accurately obtain the prediction information of key cells, thereby optimizing resource scheduling and improving the operating efficiency and service quality of the communication system.

[0260] The methods involved in the embodiments of this disclosure may include at least one of the steps S2101 to S2105 described above. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, step S2104 may be implemented as an independent embodiment, step S2105 may be implemented as an independent embodiment, step S2101 + step S2102 may be implemented as an independent embodiment, step S2102 + step S2103 may be implemented as an independent embodiment, step S2103 + step S2104 may be implemented as an independent embodiment, step S2103 + step S2105 may be implemented as an independent embodiment, and step S2104 + step S2105 may be implemented as an independent embodiment, but are not limited thereto.

[0261] In some embodiments, the order of any two steps S2101 to S2105 can be interchanged or they can be performed simultaneously. For example, the order of steps S2102 and S2104 can be interchanged or they can be performed simultaneously.

[0262] In some embodiments, steps S2101 to S2105 are optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, step S2101 may be omitted.

[0263] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0264] Figure 3A This is a flowchart illustrating a communication method according to an embodiment of the present disclosure. Figure 3A As shown, this disclosure relates to a communication method that can be executed by a terminal. The method may include:

[0265] Step S3101: Receive measurement configuration.

[0266] The optional implementation of step S3101 can be found in [reference]. Figure 2 Optional implementation methods of step S2101, and Figure 2 Other related parts in the embodiments involved will not be described in detail here.

[0267] Step S3102: Measure the cell corresponding to the measurement object indicated by the network device and obtain the measurement results.

[0268] The optional implementation of step S3102 can be found in [reference]. Figure 2 Optional implementation methods of step S2102, and Figure 2 Other related parts in the embodiments involved will not be described in detail here.

[0269] Step S3103: Perform measurement prediction and obtain prediction results.

[0270] The optional implementation of step S3103 can be found in [reference]. Figure 2 Optional implementation methods of step S2104, and Figure 2 Other related parts in the embodiments involved will not be described in detail here.

[0271] Step S3104: Send the measurement report.

[0272] For optional implementations of step S3104, please refer to [link / reference]. Figure 2 Optional implementation methods of step S2105, and Figure 2 Other related parts in the embodiments involved will not be described in detail here.

[0273] In some embodiments, the above steps are all optional.

[0274] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0275] Figure 3B This is a flowchart illustrating a communication method according to an embodiment of the present disclosure. Figure 3B As shown, this disclosure relates to a communication method that can be executed by a terminal. The method may include:

[0276] Step S3201: Send the measurement report.

[0277] In some embodiments, the first cell includes at least one of the following:

[0278] The cells in the trigger cell list;

[0279] The cells in the predicted cell list;

[0280] Cells included in both the trigger cell list and the predict cell list.

[0281] In some embodiments, if a first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list;

[0282] The first condition includes at least one of the following:

[0283] The predicted cell list includes at least one cell from the triggered cell list;

[0284] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0285] In some embodiments, when the network device has not configured the predicted cell list and the network device indicates that a measurement prediction is performed on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0286] In some embodiments, the method further includes at least one of the following:

[0287] The cells in the trigger cell list are measured and predicted to obtain the prediction results;

[0288] The predicted cells in the predicted cell list are measured and predicted to obtain the prediction results;

[0289] The cells included in both the trigger cell list and the predicted cell list are measured and predicted to obtain the prediction results.

[0290] In some embodiments, the method further includes:

[0291] The measurement is performed on the cell corresponding to the measurement object indicated by the network device to obtain the measurement result;

[0292] The measurement results are determined to meet the reporting conditions.

[0293] In some embodiments, the prediction result includes at least one of the following:

[0294] The prediction results for all or part of the time points within at least one prediction window;

[0295] The average value of the prediction results for all or part of the time points within at least one prediction window;

[0296] The prediction result for the furthest time point within the prediction window;

[0297] The prediction result for the most recent time point within the prediction window.

[0298] In some embodiments, the method further includes:

[0299] The terminal receives a prediction configuration sent by the network device, the prediction configuration being used by the terminal to perform measurement prediction; or...

[0300] The terminal receives a measurement configuration sent by the network device. The measurement configuration is used to instruct the terminal to measure the cell corresponding to the measurement object. The measurement configuration includes the prediction configuration.

[0301] In some embodiments, the prediction configuration includes at least one of the following: a prediction window, the predicted cell list, and an association identifier corresponding to the predicted cell list.

[0302] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0303] In some embodiments, a method is provided for determining the reported prediction result applicable to Case A.

[0304] In some embodiments, the prediction results of cells in the intersection of the Case A prediction cell list and the trigger cell list configured by the network are reported.

[0305] In some embodiments, the prediction results of cells in the trigger cell list are reported (if no corresponding prediction cell list is configured).

[0306] Example 1: The UE receives the inference configuration sent by the network side, wherein the inference configuration is used to configure the inference configuration of intra-frequency temporal domain case A, which may include one or more of the following: the prediction window corresponding to Case A, the cell list corresponding to Case A prediction (referred to as the prediction cell list in this embodiment of the disclosure), and the corresponding associated ID.

[0307] The inference configuration can be included in the measurement configuration, for example, the measurement object configuration can include a list of cells corresponding to the prediction.

[0308] Example 1: If the measurement object described in Example 1 is associated with a measurement event, when one or more cells corresponding to the measurement object satisfy the measurement event, the UE triggers measurement reporting and generates a measurement report. The cells satisfying the measurement event are included in the triggering cell list.

[0309] It should be noted that this measurement event is a non-AI measurement event, meaning that the UE determines whether the measurement event is met based on the actual measurement results. Case A prediction only predicts future measurement results.

[0310] Example 3: The measurement report described in Example 2 may include prediction results obtained from Case A, including any one or more of the following:

[0311] The prediction result of Case A prediction for the cell in the cell list that triggers the prediction.

[0312] Predict the prediction results for Case A for the cells in the cell list;

[0313] The prediction results for Case A predictions for cells in the intersection of the trigger cell list and the prediction cell list.

[0314] The prediction results for Case A predictions of the cells in the intersection of the triggering cell list and the predicted cell list in Examples 4 and 3 refer to any one or more of the following situations:

[0315] For each reported cell (i.e. cell that reports the actual measurement result) included in the measurement report in Example 2, if these cells are cells in the predicted cell list corresponding to Case A prediction, then the measurement report includes the prediction result of the corresponding Case A prediction.

[0316] For cells in the predicted cell list, if these cells meet the measurement event (the actual measurement result meets the measurement event), the corresponding Case A prediction results for these cells are included in the measurement report corresponding to the measurement event.

[0317] The prediction results of Case A predictions for the cells in the trigger cell list in Examples 5 and 3 are applicable to the following situations:

[0318] For measurement configurations (measurement object configurations) corresponding to the trigger cell list, if no corresponding predicted cell list is configured, but only indicates that Case A prediction should be performed on the cells corresponding to this measurement object, then the measurement report will include the prediction results of Case A prediction for the cells in the trigger cell list.

[0319] Example 6: Based on Examples 1-3, the UE can initiate Case A prediction when a measurement report is triggered, i.e., when the actual measurement result of the cell meets the measurement event, to obtain the prediction result, including any one or more of the following situations:

[0320] Perform Case A prediction on the cells in the trigger cell list;

[0321] Perform Case A predictions on the cells in the predicted cell list;

[0322] Perform Case A prediction on cells in the intersection of the trigger cell list and the predicted cell list.

[0323] It should be noted that the specific method for determining the intersection of the trigger cell list and the predicted cell list is the same as described in Example 4.

[0324] Example 7: The prediction results of Case A include, but are not limited to, any one or more of the following prediction results:

[0325] The prediction results of one or more instances or all instances within PW, or the average of these prediction results;

[0326] Prediction results for the farthest / nearest instance within PW.

[0327] This disclosure also proposes an apparatus (also referred to as a communication device, etc.) for implementing any of the above methods. For example, an apparatus is proposed that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Furthermore, another apparatus is proposed that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0328] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD), such as a field-programmable gate array (FPGA). This PLD can include a large number of logic gates, and the connection relationships between these logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules in the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining portion implemented through hardware circuits.

[0329] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be hardware circuits designed for artificial intelligence, which can be understood as ASICs, such as Neural Network Processing Units (NPUs), Tensor Processing Units (TPUs), and Deep Learning Processing Units (DPUs).

[0330] Figure 4A This is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. Terminal 4100 is used to execute any of the above methods. In some embodiments, such as... Figure 4AAs shown, terminal 4100 may include at least one of the following: transceiver module 4101, processing module 4102, etc. In some embodiments, the transceiver module is used to send a measurement report to a network device. The measurement report includes a prediction result of a first cell, which is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device. Optionally, the transceiver module is used to perform at least one of the communication steps (e.g., steps S2101, S2105, S3101, S3104, S3201, but not limited thereto) performed by terminal 101 in any of the above methods. Further details are omitted here. Optionally, the above processing module is used to execute at least one of the other steps executed by the terminal 101 in any of the above methods (e.g., steps S2102, S2103, S2104, S3102, S3103, but not limited thereto), which will not be elaborated here.

[0331] In some embodiments, the first cell includes at least one of the following:

[0332] The cells in the trigger cell list;

[0333] The cells in the predicted cell list;

[0334] Cells included in both the trigger cell list and the predict cell list.

[0335] In some embodiments, if a first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list;

[0336] The first condition includes at least one of the following:

[0337] The predicted cell list includes at least one cell from the triggered cell list;

[0338] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0339] In some embodiments, when the network device has not configured the predicted cell list and the network device indicates that a measurement prediction is performed on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0340] In some embodiments, the processing module is configured to:

[0341] The cells in the trigger cell list are measured and predicted to obtain the prediction results;

[0342] The predicted cells in the predicted cell list are measured and predicted to obtain the prediction results;

[0343] The cells included in both the trigger cell list and the predicted cell list are measured and predicted to obtain the prediction results.

[0344] In some embodiments, the processing module is further configured to:

[0345] The measurement is performed on the cell corresponding to the measurement object indicated by the network device to obtain the measurement result;

[0346] The measurement results are determined to meet the reporting conditions.

[0347] In some embodiments, the prediction result includes at least one of the following:

[0348] The prediction results for all or part of the time points within at least one prediction window;

[0349] The average value of the prediction results for all or part of the time points within at least one prediction window;

[0350] The prediction result for the furthest time point within the prediction window;

[0351] The prediction result for the most recent time point within the prediction window.

[0352] In some embodiments, the transceiver module is further configured to:

[0353] The terminal receives a prediction configuration sent by the network device, the prediction configuration being used by the terminal to perform measurement prediction; or...

[0354] The terminal receives a measurement configuration sent by the network device. The measurement configuration is used to instruct the terminal to measure the cell corresponding to the measurement object. The measurement configuration includes the prediction configuration.

[0355] In some embodiments, the prediction configuration includes at least one of the following: a prediction window, the predicted cell list, and an association identifier corresponding to the predicted cell list.

[0356] Figure 4B This is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. The network device 4200 is used to perform any of the above methods. In some embodiments, such as... Figure 4BAs shown, network device 4200 may include at least one of the following: transceiver module 4201, processing module 4202, etc. In some embodiments, the transceiver module is used to receive a measurement report sent by a terminal. The measurement report includes a prediction result of a first cell, which is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device. Optionally, the transceiver module is used to perform at least one of the communication steps (e.g., steps S2101, S2105, but not limited thereto) performed by network device 102 in any of the above methods, which will not be elaborated further here. Optionally, the processing module is used to perform at least one of the other steps performed by network device 102 in any of the above methods, which will not be elaborated further here.

[0357] In some embodiments, the first cell includes at least one of the following:

[0358] The cells in the trigger cell list;

[0359] The cells in the predicted cell list;

[0360] Cells included in both the trigger cell list and the predict cell list.

[0361] In some embodiments, if a first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list;

[0362] The first condition includes at least one of the following:

[0363] The predicted cell list includes at least one cell from the triggered cell list;

[0364] The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

[0365] In some embodiments, when the network device has not configured the predicted cell list and the network device indicates that a measurement prediction is performed on the cell corresponding to the measurement object, the first cell includes cells in the trigger cell list.

[0366] In some embodiments, the prediction result includes at least one of the following:

[0367] The prediction results for all or part of the time points within at least one prediction window;

[0368] The average value of the prediction results for all or part of the time points within at least one prediction window;

[0369] The prediction result for the furthest time point within the prediction window;

[0370] The prediction result for the most recent time point within the prediction window.

[0371] In some embodiments, the method further includes:

[0372] Send a prediction configuration to the terminal, the prediction configuration being used by the terminal to perform measurement prediction; or...

[0373] A measurement configuration is sent to the terminal, the measurement configuration being used to instruct the terminal to perform measurements on the cell corresponding to the measurement object, the measurement configuration including the prediction configuration.

[0374] In some embodiments, the prediction configuration includes at least one of the following: a prediction window, the predicted cell list, and an association identifier corresponding to the predicted cell list.

[0375] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0376] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0377] In some embodiments, the processing module can be replaced by the processor, and the transceiver module can be replaced by the transceiver.

[0378] Figure 5A This is a schematic diagram of the structure of the communication device 5100 proposed in this embodiment. The communication device 5100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 5100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0379] like Figure 5AAs shown, the communication device 5100 is used to execute any of the above methods. In some embodiments, the communication device 5100 includes one or more processors 5101. The processor 5101 may be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 5100 is used to execute any of the above methods. Optionally, one or more processors 5101 are used to invoke instructions to cause the communication device 5100 to execute any of the above methods.

[0380] In some embodiments, the communication device 5100 further includes one or more transceivers 5102. When the communication device 5100 includes one or more transceivers 5102, the transceiver 5102 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S2101, S2105, S3101, S3104, S3201, but not limited thereto), and the processor 5101 performs at least one of other steps (e.g., steps S2102, S2103, S2104, S3102, S3103, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0381] In some embodiments, the communication device 5100 further includes one or more memories 5103 for storing data and / or instructions. Optionally, one or more processors 5101 are used to invoke instructions stored in the memory 5103 to cause the communication device 5100 to perform any of the above methods. Optionally, all or part of the memory 5103 may also be located outside the communication device 5100. In an optional embodiment, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuit 5104 is connected to the memory 5103 and can be used to receive data and / or instructions from the memory 5103 or other devices, and can be used to send data and / or instructions to the memory 5103 or other devices. For example, the interface circuit 5104 can read data and / or instructions stored in the memory 5103 and send the data and / or instructions to the processor 5101.

[0382] The communication device 5100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 5100 described in this disclosure is not limited thereto, and the structure of the communication device 5100 may vary. Figure 5A The limitations. The communication device may be a standalone device or part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally including storage components for storing data, programs and / or instructions; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0383] Figure 5B This is a schematic diagram of the structure of chip 5200 according to an embodiment of this disclosure. For cases where the communication device 5100 can be a chip or a chip system, please refer to... Figure 5B The diagram shown is a schematic representation of the structure of chip 5200, but it is not limited to this.

[0384] Chip 5200 includes one or more processors 5201. Chip 5200 is used to perform any of the methods described above.

[0385] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 5200 further includes one or more memories 5203 for storing data and / or instructions. Optionally, all or part of the memories 5203 may be located outside of chip 5200. Optionally, the interface circuit 5202 is connected to the memories 5203, and the interface circuit 5202 can be used to receive data and / or instructions from the memories 5203 or other devices, and the interface circuit 5202 can be used to send data and / or instructions to the memories 5203 or other devices. For example, the interface circuit 5202 can read data and / or instructions stored in the memories 5203 and send the data and / or instructions to the processor 5201.

[0386] In some embodiments, the interface circuit 5202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., steps S2101, S2105, S3101, S3104, S3201, but not limited thereto). The interface circuit 5202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 5202 performing data and / or instruction interaction between the processor 5201, the chip 5200, the memory 5203, or the transceiver device. In some embodiments, the processor 5201 performs at least one of other steps (e.g., steps S2102, S2103, S2104, S3102, S3103, but not limited thereto).

[0387] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0388] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0389] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by a communication device, cause the communication device to perform any of the above methods. Optionally, the program product is a computer program product. Optionally, the program product is stored on the storage medium.

[0390] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method, characterized in that, The method, executed by a terminal, includes: A measurement report is sent to the network device. The measurement report includes the prediction result of a first cell, which is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

2. The method according to claim 1, characterized in that, The first cell includes at least one of the following: The cells in the trigger cell list; The cells in the predicted cell list; Cells included in both the trigger cell list and the predict cell list.

3. The method according to claim 2, characterized in that, If the first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list; The first condition includes at least one of the following: The predicted cell list includes at least one cell from the triggered cell list; The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

4. The method according to claim 2, characterized in that, If the network device has not configured the predicted cell list, and the network device instructs to perform measurement prediction on the cell corresponding to the measurement object, the first cell includes the cells in the trigger cell list.

5. The method according to any one of claims 1-4, characterized in that, The method further includes at least one of the following: The cells in the trigger cell list are measured and predicted to obtain the prediction results; The predicted cells in the predicted cell list are measured and predicted to obtain the prediction results; The cells included in both the trigger cell list and the predicted cell list are measured and predicted to obtain the prediction results.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: The measurement is performed on the cell corresponding to the measurement object indicated by the network device to obtain the measurement result; The measurement results are determined to meet the reporting conditions.

7. The method according to any one of claims 1-6, characterized in that, The prediction result includes at least one of the following: The prediction results for all or part of the time points within at least one prediction window; The average value of the prediction results for all or part of the time points within at least one prediction window; The prediction result for the furthest time point within the prediction window; The prediction result for the most recent time point within the prediction window.

8. The method according to any one of claims 1-7, characterized in that, The method further includes: The terminal receives a prediction configuration sent by the network device, the prediction configuration being used by the terminal to perform measurement prediction; or... The terminal receives a measurement configuration sent by the network device. The measurement configuration is used to instruct the terminal to measure the cell corresponding to the measurement object. The measurement configuration includes the prediction configuration.

9. The method according to claim 8, characterized in that, The prediction configuration includes at least one of the following: a prediction window, a prediction cell list, and an association identifier corresponding to the prediction cell list.

10. A communication method, characterized in that, Performed by a network device, the method includes: The receiving terminal sends a measurement report, which includes the prediction result of a first cell. The first cell is determined based on at least one of the following: a trigger cell list and a prediction cell list. The trigger cell list includes cells whose measurement results meet the reporting conditions, and the prediction cell list includes cells corresponding to the measurement prediction indicated by the network device.

11. The method according to claim 10, characterized in that, The first cell includes at least one of the following: The cells in the trigger cell list; The cells in the predicted cell list; Cells included in both the trigger cell list and the predict cell list.

12. The method according to claim 11, characterized in that, If the first condition is met, the first cell includes cells that are included in both the trigger cell list and the predicted cell list; The first condition includes at least one of the following: The predicted cell list includes at least one cell from the triggered cell list; The measurement results of at least one cell in the predicted cell list meet the reporting conditions.

13. The method according to claim 11, characterized in that, If the network device has not configured the predicted cell list, and the network device instructs to perform measurement prediction on the cell corresponding to the measurement object, the first cell includes the cells in the trigger cell list.

14. The method according to any one of claims 10-13, characterized in that, The prediction result includes at least one of the following: The prediction results for all or part of the time points within at least one prediction window; The average value of the prediction results for all or part of the time points within at least one prediction window; The prediction result for the furthest time point within the prediction window; The prediction result for the most recent time point within the prediction window.

15. The method according to any one of claims 10-14, characterized in that, The method further includes: Send a prediction configuration to the terminal, the prediction configuration being used by the terminal to perform measurement prediction; or... A measurement configuration is sent to the terminal, the measurement configuration being used to instruct the terminal to perform measurements on the cell corresponding to the measurement object, the measurement configuration including the prediction configuration.

16. The method according to claim 15, characterized in that, The prediction configuration includes at least one of the following: a prediction window, a prediction cell list, and an association identifier corresponding to the prediction cell list.

17. A communication device, characterized in that, The communication device is used to perform the communication method according to any one of claims 1-9 and 10-16.

18. A communication system, characterized in that, The device includes a terminal and a network device, wherein the terminal is configured to implement the communication method of any one of claims 1-9, and the network device is configured to implement the communication method of any one of claims 10-16.

19. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the communication method as described in any one of claims 1-9 and 10-16.

20. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by the communication device, it implements the steps of the method according to any one of claims 1-9 and 10-16.

Images