Method and device for measurement reporting in wireless communication

Abstract

The invention discloses a method and a device for measurement reporting in wireless communication. The first node predicts whether any condition in the first condition set is met or not; if any condition in the first condition set is predicted to be satisfied, starting to execute channel measurement on the first cell and the second cell respectively in a first time interval; sending the first measurement report; wherein one condition in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell and exceeds a first threshold value; the first measurement report comprises the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement period. According to the method and the device, the channel quality based on measurement can be continuously reported after the channel quality based on prediction is reported, so that the system robustness is improved.

Description

Technical Field

[0001] The present application relates to a method and apparatus for supporting measurement reporting in a wireless communication system, and in particular to a method and apparatus for measurement reporting based on event triggering. Background Art

[0002] In the future, the application scenarios of wireless communication systems will become more and more diversified, and different application scenarios will put forward different performance requirements for the system. In order to meet the different performance requirements of various application scenarios, the 3rd Generation Partner Project (3GPP) RAN

[0003] At the 3GPP RAN (Radio Access Network) #72 plenary meeting, it was decided to study the new radio interface technology (NR, New Radio) (or 5G). At the 3GPP RAN #75 plenary meeting, the WI (Work Item) of the new radio interface technology (NR, New Radio) was passed, and the standardization work on NR began. In NR R (release) 18, the research on AI (Artificial Intelligence) / ML (Machine Learning) technology was established to explore its impact on system performance and system design. Compared with traditional processing methods, AI / ML has the characteristics of being based on training and requiring deployment.

[0004] Cell measurement is an important feature in wireless networks. First, UE (User Equipment) performs cell selection or cell reselection by measuring the channel quality of the cell (such as signal strength). When the UE is in the RRC (Radio Resource Control) connection state, the UE needs to report the measurement results to the serving base station. According to different measurement results, the serving base station can instruct the UE to perform beam switching, cell switching and other processes, and optimize network deployment. Enhancement of cell measurement reporting has always been a direction of wireless communication research. Summary of the invention

[0005] The inventors have found through research that the introduction of AI (artificial Intelligence) into the field of wireless communications can assist in completing many predictions, including measurement prediction and event prediction. It is worth studying how to effectively use prediction results and / or measurement results to improve the performance of wireless communication systems.

[0006] In view of the above problems, the present application discloses a solution, which continues to report the channel quality based on measurement after reporting the channel quality based on prediction to improve the robustness of the system. In the absence of conflict, the embodiments in the t node of the present application and the features in the embodiments can be applied to the second node, and vice versa. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily. Further, although the original intention of the present application is for the Uu air interface, the present application can also be used for the PC5 air interface. Further, although the original intention of the present application is for the cell measurement reporting scenario, the present application is also applicable to other scenarios based on prediction, such as cell switching prediction, switching failure prediction and wireless link failure prediction scenarios, to achieve technical effects similar to those in the cell measurement reporting scenario. In addition, the use of a unified solution for different scenarios (including but not limited to cell measurement reporting, cell switching, cell switching failure and wireless link failure scenarios) also helps to reduce hardware complexity and cost. In particular, the interpretation of the terminology, nouns, functions, and variables in this application (unless otherwise specified) can refer to the definitions in the 3GPP specification protocols TS36 series, TS38 series, and TS37 series.

[0007] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0008] Predicting whether any condition in the first condition set is satisfied; if it is predicted that any condition in the first condition set is satisfied, starting to perform channel measurement on the first cell and the second cell respectively within a first time interval;

[0009] Sending a first measurement report;

[0010] Among them, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0011] As an embodiment, the above method is applicable to a scenario where AI-assisted channel measurement is deployed in a communication system.

[0012] As an embodiment, the above method is applicable to a scenario where channel measurement and channel prediction are simultaneously applied to monitor cell channel quality in a communication system.

[0013] As an embodiment, the first measurement report includes the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the first cell or the channel quality of the second cell is based on prediction.

[0014] As an embodiment, the above method can timely indicate the changing trend of the cell channel quality to the network by reporting the first measurement report based on the prediction.

[0015] As an embodiment, the above method can enable the network to obtain more channel quality information by reporting the first measurement report based on the prediction.

[0016] As an embodiment, the above method can save UE measurement overhead by predicting and obtaining channel quality.

[0017] As an embodiment, the first measurement report is sent in response to predicting that any condition in the first set of conditions is met.

[0018] According to one aspect of the present application, the above method is characterized in that it includes:

[0019] receiving a first signaling, wherein the first signaling configures a measurement object and a measurement time for a cell;

[0020] The channel measurement is performed on the measurement object during the measurement time to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value.

[0021] According to one aspect of the present application, the above method is characterized in that it includes:

[0022] Inferring a channel prediction value of the cell at a prediction time based on a channel measurement value of the cell, or inferring a channel quality of the cell at the prediction time based on the channel measurement value of the cell;

[0023] The first signaling configures the predicted time for the one cell; the one cell is the first cell or the second cell.

[0024] According to one aspect of the present application, the above method is characterized in that the first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

[0025] As an embodiment, the above method adds additional channel measurements to avoid inaccurate channel prediction and improve system robustness.

[0026] According to one aspect of the present application, the above method is characterized in that it includes:

[0027] When any condition in a second condition set is met within the first time interval, sending a second measurement report;

[0028] The length of the first time interval is shorter than the triggering time length of the first condition set.

[0029] As an embodiment, the second measurement report includes, in addition to the measured channel quality of the first cell and the measured channel quality of the second cell, at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0030] As an embodiment, the generation of the second measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0031] As an embodiment, the triggering of the second measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0032] As an embodiment, the second measurement report is triggered after at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell has been reported.

[0033] As an embodiment, the second measurement report depends on the first prediction report.

[0034] As an embodiment, the second measurement report is triggered after the first prediction report has been reported.

[0035] As an embodiment, the channel quality of the first cell and the channel quality of the second cell are measured after at least one of predicting the channel quality of the first cell or predicting the channel quality of the second cell.

[0036] As an embodiment, the above method can more accurately determine the cell channel quality by further monitoring the channel quality through channel measurement after channel prediction.

[0037] As an embodiment, the above method can indicate the channel quality prediction situation to the network by sending the first measurement report, so that the network can make a more accurate judgment.

[0038] According to one aspect of the present application, the above method is characterized in that a condition included in the second condition set is that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

[0039] According to one aspect of the present application, the above method is characterized in that: a condition included in the second condition set is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

[0040] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0041] receiving a first measurement report;

[0042] Among them, whether any condition in the first condition set is met is predicted; if any condition in the first condition set is met and predicted, channel measurement is performed on the first cell and the second cell respectively within a first time interval; one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0043] According to one aspect of the present application, the above method is characterized in that it includes:

[0044] Sending a first signaling, where the first signaling configures a measurement object and a measurement time for a cell;

[0045] The channel measurement is performed on the measurement object during the measurement time to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value.

[0046] According to one aspect of the present application, the above method is characterized in that it includes:

[0047] A channel measurement value of a cell is used to infer a channel prediction value of the cell at a prediction time, or the channel measurement value of the cell is used to infer a channel quality of the cell at the prediction time;

[0048] The first signaling configures the predicted time for the one cell; the one cell is the first cell or the second cell.

[0049] According to one aspect of the present application, the above method is characterized in that the first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

[0050] According to one aspect of the present application, the above method is characterized in that it includes:

[0051] receiving a second measurement report;

[0052] Among them, any condition in the second condition set is met within the first time interval; and the length of the first time interval is less than the triggering time length of the first condition set.

[0053] According to one aspect of the present application, the above method is characterized in that a condition included in the second condition set is that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

[0054] According to one aspect of the present application, the above method is characterized in that: a condition included in the second condition set is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

[0055] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0056] A first receiver predicts whether any condition in a first condition set is satisfied; if it is predicted that any condition in the first condition set is satisfied, starts to perform channel measurement on a first cell and a second cell respectively within a first time interval;

[0057] A first transmitter sends a first measurement report;

[0058] Among them, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0059] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0060] A second receiver receives the first measurement report;

[0061] Among them, whether any condition in the first condition set is met is predicted; if any condition in the first condition set is met and predicted, channel measurement is performed on the first cell and the second cell respectively within a first time interval; one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0063] Figure 1 An example of a transmission flow chart of a first node according to an embodiment of the present application is provided;

[0064] Figure 2 A schematic diagram illustrating a network architecture according to an embodiment of the present application is illustrated;

[0065] Figure 3 A schematic diagram illustrating a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0066] Figure 4 A hardware module schematic diagram of a communication device according to an embodiment of the present application is illustrated;

[0067] Figure 5 An example of a wireless signal transmission flow chart between a first node and a second node according to an embodiment of the present application is provided;

[0068] Figure 6 A schematic diagram illustrating a relationship in which a first receiver infers a channel prediction value or a channel quality based on a channel measurement value according to an embodiment of the present application is illustrated;

[0069] Figure 7 A schematic diagram illustrating the relationship between a first time interval and a prediction time, a channel measurement, and a channel prediction according to an embodiment of the present application;

[0070] Figure 8 A schematic diagram illustrating the relationship between a first time interval and a second time interval according to an embodiment of the present application;

[0071] Fig. 9 A schematic diagram illustrating an artificial intelligence processing system according to an embodiment of the present application is illustrated;

[0072] Fig.10 An example of an artificial intelligence-based schematic diagram according to an embodiment of the present application is provided;

[0073] Fig.11 An example structural block diagram of a processing device in a first node according to an embodiment of the present application is shown;

[0074] Fig.12 The structural block diagram of the processing device in the second node according to an embodiment of the present application is illustrated. DETAILED DESCRIPTION

[0075] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, in the absence of conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0076] Example 1

[0077] Embodiment 1 illustrates a transmission flow chart of a first node according to an embodiment of the present application, as shown in the attached Figure 1 shown.

[0078] In embodiment 1, the first node 100 predicts whether any condition in a first condition set is met in step 101; if it is predicted that any condition in the first condition set is met, starts to perform channel measurement on the first cell and the second cell respectively within a first time interval; sends a first measurement report in step 102; wherein, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0079] As an embodiment, the predicting whether any condition in the first set of conditions is met includes: determining whether any condition in the first set of conditions is met based on the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction.

[0080] As an embodiment, the channel quality of the first cell is obtained by at least the former of channel measurement and channel prediction.

[0081] As an embodiment, the channel quality of the second cell is obtained by at least the former of channel measurement and channel prediction.

[0082] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on prediction, and the channel quality of the second cell is based on measurement.

[0083] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on measurement, and the channel quality of the second cell is based on prediction.

[0084] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on prediction, and the channel quality of the second cell is based on prediction.

[0085] As an embodiment, a channel quality of a cell is based on prediction and includes: a channel quality of a cell is obtained by channel prediction.

[0086] As an embodiment, a channel quality of a cell is based on prediction and includes: a channel quality of a cell is obtained by channel measurement and channel prediction.

[0087] As an embodiment, obtaining the channel quality of a cell through channel measurement and channel prediction includes: obtaining a channel measurement value through channel measurement for a cell, and obtaining the channel quality of the cell through reasoning at least part of the channel measurement value.

[0088] As an embodiment, the channel quality of a cell is obtained through channel measurement and channel prediction, including: obtaining a channel measurement value by measuring the channel of a cell, obtaining a channel prediction value by reasoning at least part of the channel measurement value, and obtaining the channel quality of a cell after filtering the channel measurement value and the channel prediction value.

[0089] As a sub-embodiment of the above embodiment, the filtering is layer 3 filtering.

[0090] As an embodiment, the layer 3 filtering parameters are configured by the network.

[0091] As an embodiment, the layer 3 filtering is standardized.

[0092] As an embodiment, the layer 3 filtering is implemented by UE.

[0093] As an embodiment, the layer 3 filtering is implemented by a sliding window.

[0094] As an embodiment, a method for implementing the layer 3 filtering is: Q1=αα×Q0+ββ×M; wherein αα and ββ are values ​​greater than 0 and satisfy αα+ββ=1; Q1 is the channel quality at the current moment, Q0 is the channel quality at the previous moment, and M is the current channel measurement value or the current channel prediction value.

[0095] As an embodiment, the first condition set includes at least one condition.

[0096] As an embodiment, any condition included in the first condition set is based on prediction.

[0097] As a sub-embodiment of the above embodiment, when the determination of a condition depends at least on a measurement result, the condition is based on prediction.

[0098] As a sub-embodiment of the above embodiment, when the judgment of a condition depends on both the measurement result and the prediction result, the condition is based on the prediction.

[0099] As an embodiment, the first condition set includes a first condition.

[0100] As an embodiment, the first condition is that the channel quality of the second cell is better than the channel quality of the first cell by more than the second threshold; wherein at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction.

[0101] As a sub-embodiment of the above embodiment, a result of subtracting the channel quality of the first cell from the channel quality of the second cell is greater than the second threshold.

[0102] As a sub-embodiment of the above embodiment, the sum of the channel quality of the second cell plus a first offset minus the sum of the channel quality of the first cell plus a second offset is greater than the second threshold; wherein the first offset and the second offset are respectively configured by the network.

[0103] As a sub-embodiment of the above embodiment, Mn1+Ofn+Ocn–Hys1>Mp1+Ofp+Ocp+Off1; wherein, Mn1 is the channel quality of the second cell excluding offset, the Ofn is a specific offset configured for the measurement object of the second cell reference signal, the Ocn is a specific offset configured for the second cell, the Hys1 is a hysteresis parameter for the first condition, the Mp1 is the channel quality of the first cell excluding offset, the parameter Ofp is a specific offset configured for the measurement object of the first cell, the parameter Ocp is a specific offset configured for the first cell, and the Off1 is an offset parameter configured for the first condition.

[0104] As an embodiment, the Hys1 is the second threshold.

[0105] As an embodiment, the second threshold is configured by the network.

[0106] As an embodiment, the second threshold is pre-configured.

[0107] As an embodiment, the second threshold is greater than 0.

[0108] As an embodiment, one of the conditions included in the first condition set is that the channel quality of the second cell is better than a third threshold, and the channel quality of the first cell is worse than a fourth threshold; wherein at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0109] As a sub-embodiment of the above embodiment, the channel quality of the second cell is greater than the third threshold, and the channel quality of the first cell is less than the fourth threshold.

[0110] As a sub-embodiment of the above embodiment, the sum of the channel quality of the second cell plus the third offset is greater than the third threshold, and the sum of the channel quality of the first cell plus the fourth offset is less than the fourth threshold; wherein the third offset and the fourth offset are respectively configured by the network.

[0111] As a sub - embodiment of the above - mentioned embodiment, Mp1 + Hys1 < Thresh1, and Mn1+Ofn + Ocn–Hys1 > Thresh2; where Mp1 is the channel quality of the first cell without offset, Thresh1 is the fourth threshold, Hys1 is the hysteresis parameter for this condition, Mn1 is the channel quality of the second cell without offset, Ofn is the specific offset configured for the measurement object of the second cell, Ocn is the specific offset configured for the second cell, and Thresh2 is the third threshold.

[0112] As an embodiment, the third threshold and the fourth threshold are respectively configured by the network.

[0113] As an embodiment, the third threshold and the fourth threshold are respectively pre - configured.

[0114] As an embodiment, one of the conditions included in the first condition set is that the condition for switching from the first cell to the second cell is satisfied according to the channel quality of the first cell and the channel quality of the second cell; where at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0115] As an embodiment, the condition for the first cell to switch to the second cell is configured by the network.

[0116] As an embodiment, the first cell is a serving cell.

[0117] As an embodiment, the first cell is a SpCell (Special Cell).

[0118] As an embodiment, the first cell is a PCell (Primary Cell).

[0119] As an embodiment, the second cell is a neighboring cell.

[0120] As an embodiment, the second cell is a candidate cell.

[0121] As an embodiment, a cell is the first cell, or the second cell.

[0122] As an embodiment, when it is predicted that any condition in the first condition set is satisfied, channel measurements are respectively performed on the first cell and the second cell within a first time interval.

[0123] As an embodiment, performing channel measurement on the first cell and the second cell respectively includes: measuring the channel quality of the first cell and the channel quality of the second cell respectively.

[0124] As an embodiment, measuring the channel quality of a cell includes: measuring at least one beam associated with the cell.

[0125] As a sub-embodiment of the above embodiment, the at least one beam is configured by a network.

[0126] As a sub-embodiment of the above embodiment, the channel quality of one cell is obtained after layer 3 filtering.

[0127] As an embodiment, measuring the channel quality of a cell includes: measuring a reference signal associated with the cell.

[0128] As a sub-embodiment of the above embodiment, the reference signal is configured by a network.

[0129] As a sub-embodiment of the above embodiment, the reference signal is a CSI-RS (Channel Status Information-Reference Signal).

[0130] As a sub-embodiment of the above embodiment, the reference signal is a synchronization signal.

[0131] As a sub-embodiment of the above embodiment, the reference signal is a secondary synchronization signal.

[0132] As a sub-embodiment of the above embodiment, the reference signal is SSB (Synchronization Signal Block).

[0133] As a sub-embodiment of the above embodiment, the reference signal is SSB (SS / PBCH block (Synchronization Signals / Physical Broadcast Channel)).

[0134] As an embodiment, a measurement gap for measuring the channel quality of the first cell is the same as a measurement gap for measuring the channel quality of the second cell.

[0135] As an embodiment, a measurement gap for measuring the channel quality of the first cell and a measurement gap for measuring the channel quality of the second cell at least partially overlap.

[0136] As an embodiment, the measurement gap for measuring the channel quality of the first cell and the measurement gap for measuring the channel quality of the second cell are orthogonal.

[0137] As an embodiment, the channel quality of a cell includes reference signal received power (RSRP).

[0138] As an embodiment, the channel quality of a cell includes reference signal received quality (RSRQ).

[0139] As an embodiment, the channel quality of a cell includes a signal-to-interference and noise ratio (SINR).

[0140] As an embodiment, the length of the first time interval is configurable.

[0141] As an embodiment, the length of the first time interval is preconfigured.

[0142] As an embodiment, the length of the first time interval is determined by the UE itself.

[0143] As an embodiment, the first time interval includes at least one measurement cycle.

[0144] As an embodiment, the first time interval includes a positive integer number of measurement cycles.

[0145] As an embodiment, the start time of the first time interval is the start time of the first measurement cycle after triggering the first measurement report.

[0146] As an embodiment, the start time of the first time interval is the start time of the first measurement gap after the first measurement report is triggered.

[0147] As an embodiment, the start time of the first time interval is the time when any condition in the first condition set is predicted to be satisfied.

[0148] As an embodiment, the start time of the first time interval is the time when the first measurement report is sent.

[0149] As an embodiment, the start time of the first time interval is the end time when the first measurement report is sent.

[0150] As an embodiment, when it is predicted that any condition in the first condition set is met, the first measurement report is sent.

[0151] As an embodiment, the first measurement report is sent in the first cell.

[0152] As an embodiment, sending the first measurement report in the first cell includes: sending the first measurement report on frequency domain resources of the first cell.

[0153] As an embodiment, the first measurement report is an RRC message.

[0154] As an embodiment, the first measurement report is MeasurementReport (measurement report).

[0155] As an embodiment, the first measurement report is a MAC (Medium Access Control) CE (Control Element).

[0156] As an embodiment, the first measurement report is a layer 3 measurement report, or a layer 1 measurement report.

[0157] As an embodiment, the first measurement report includes the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction.

[0158] As an embodiment, the first measurement report includes an event that triggers the first measurement report.

[0159] As an embodiment, the first measurement report indicates that a criterion of a measurement reporting event is met, and the measurement reporting event is an A3' event (event) or an A5' event.

[0160] As an embodiment, the A3' event or the A5' event indicates that a predicted cell switching condition is met.

[0161] As an embodiment, the triggering criteria of the A3' event and the A3 event are the same.

[0162] As an embodiment, the triggering criteria of the A3' event and the A3 event are different.

[0163] As a sub-embodiment of the above embodiment, the triggering time (time to trigger) of triggering the A3' event and triggering the A3 event are different.

[0164] As a sub-embodiment of the above embodiment, the thresholds for triggering the A3' event and the thresholds for triggering the A3 event are different.

[0165] As an embodiment, the triggering criteria of the A5' event and the A5' event are the same.

[0166] As an embodiment, the triggering criteria of the A5' event and the A5 event are different.

[0167] As a sub-embodiment of the above embodiment, the triggering time of triggering the A5' event and the triggering time of triggering the A5 event are different.

[0168] As a sub-embodiment of the above embodiment, the thresholds for triggering the A5' event and triggering the A5 event are different.

[0169] As an embodiment, the first measurement report indicates that a condition for switching from the first cell to the second cell is met based on predicted channel quality.

[0170] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell included in the first measurement report indication is based on prediction.

[0171] As an embodiment, the triggering of the first measurement report is based on the predicted cell channel quality.

[0172] As an embodiment, the triggering of the first measurement report is based on the predicted cell channel quality, including: the second measurement report is triggered by a prediction result, and the prediction result has not yet occurred in the time domain.

[0173] As a sub-embodiment of the above two embodiments, the above method can indicate the channel quality change trend of the cell to the base station in advance, so that the base station can make a timely response.

[0174] As an embodiment, the triggering of the first measurement report is based on the predicted cell channel quality, including predicting that a condition for switching from the first cell to the second cell is met.

[0175] As an embodiment, the condition for switching from the first cell to the second cell is configured by the network.

[0176] As an embodiment, the triggering of the first measurement report is based on the predicted cell channel quality including: predicting an A3' event.

[0177] As an embodiment, the triggering of the first measurement report is based on the predicted cell channel quality including: predicting an A5' event.

[0178] As an embodiment, channel measurement and / or channel prediction is performed for a cell according to the measurement and reporting configured by the network for the cell, and the measurement results and / or prediction results are reported; wherein the cell is the first cell or the second cell.

[0179] It should be noted that the channel prediction in the present application corresponds to the channel measurement. The measured channel quality can be obtained by performing the channel measurement; and the predicted channel quality can be obtained by performing the channel prediction.

[0180] As an embodiment, channel prediction relies on channel measurement.

[0181] As an embodiment, channel prediction includes inferring channel quality based on a result of channel measurement.

[0182] As an embodiment, channel prediction is performed in at least one of the time domain, frequency domain and spatial domain.

[0183] As an embodiment, channel prediction includes implementation through interpolation calculation.

[0184] As an embodiment, channel prediction includes implementation through extrapolation calculation.

[0185] As an embodiment, channel prediction includes implementation through an AI / ML (machine learning) model.

[0186] Example 2

[0187] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown. Figure 2A diagram illustrating a network architecture 200 for NR 5G, LTE (Long-Term Evolution) and LTE-A (Long-Term Evolution Advanced) systems. The NR 5G, LTE or LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable terminology. The 5GS / EPS 200 may include one or more UEs (User Equipment) 201, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220 and Internet Services 230. The 5GS / EPS may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, 5GS / EPS provides packet switching services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application can be extended to networks providing circuit switching services or other cellular networks. NG-RAN includes NR Node B (gNB, new radio Node B) 203 and other gNBs 204. gNB 203 provides user and control plane protocol termination towards UE 201. gNB 203 can be connected to other gNBs 204 via an Xn interface (e.g., a backhaul link). The XnAP protocol of the Xn interface is used to transmit control plane messages of the wireless network, and the user plane protocol of the Xn interface is used to transmit user plane data. gNB203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmission Reception Point) or some other suitable term. In a NTN (NonTerrestrial Network), gNB203 may be a satellite, an aircraft or a ground base station relayed by a satellite. gNB203 provides an access point to 5GC / EPC210 for UE201.Examples of UE 201 include cellular phones, smart phones, Session Initiation Protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, cars, vehicle-mounted devices, vehicle-mounted communication units, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. gNB203 is connected to 5GC / EPC210 via the S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is the control node that handles signaling between UE201 and 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, which itself is connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and PS (Packet Switching) streaming services.

[0188] As an embodiment, the UE201 corresponds to the first node in this application.

[0189] As an embodiment, the gNB203 corresponds to the second node in this application.

[0190] As an embodiment, the UE201 is a user equipment.

[0191] As an embodiment, the gNB203 is a macro cell base station.

[0192] As an embodiment, the gNB203 is a micro cell base station.

[0193] As an embodiment, the gNB203 is a pico cell base station.

[0194] As an embodiment, the gNB203 is a home base station (Femtocell).

[0195] As an embodiment, the gNB203 is a base station device that supports large delay difference.

[0196] As an embodiment, the gNB203 is a flying platform device.

[0197] As an embodiment, the gNB203 is a satellite device.

[0198] As an embodiment, the gNB203 is a base station device that supports large delay difference.

[0199] As an embodiment, the gNB203 is a testing device (e.g., a transceiver that simulates some functions of a base station, a signaling tester).

[0200] As an embodiment, the wireless link from the UE201 to the gNB203 is an uplink, and the uplink is used to perform uplink transmission.

[0201] As an embodiment, the wireless link from the UE241 to the gNB203 is an uplink, and the uplink is used to perform uplink transmission.

[0202] As an embodiment, the wireless link from the gNB203 to the UE201 is a downlink, and the downlink is used to perform downlink transmission.

[0203] As an embodiment, the wireless link from the gNB203 to the UE241 is a downlink, and the downlink is used to perform downlink transmission.

[0204] As an embodiment, the UE201 and the gNB203 are connected via a Uu air interface.

[0205] As an embodiment, the UE241 and the gNB203 are connected via a Uu air interface.

[0206] As an embodiment, the UE201 and the UE241 are connected via a PC5 air interface.

[0207] Example 3

[0208] Embodiment 3 illustrates a schematic diagram of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 of the UE and gNB is shown in three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to as PHY 301 in this article. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the UE and the gNB through PHY 301. The L2 layer 305 includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the gNB on the network side. The PDCP sublayer 304 provides data encryption and integrity protection. The PDCP sublayer 304 also provides support for inter-zone mobility of UEs between gNBs. The RLC sublayer 303 provides segmentation and reassembly of data packets, and retransmits lost data packets through ARQ (Automatic Repeat Request). The RLC sublayer 303 also provides duplicate data packet detection and protocol error detection. The MAC sublayer 302 provides mapping between logical channels and transport channels and multiplexing of logical channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between UEs. The MAC sublayer 302 is also responsible for HARQ (Hybrid Automatic Repeat Request) operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the gNB and the UE. The wireless protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The wireless protocol architecture in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce wireless transmission overhead. The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers to support the diversity of services.The wireless protocol architecture of the UE in the user plane 350 may include, at the L2 layer, a SDAP sublayer 356, a PDCP sublayer 354, a portion of or all of the protocol sublayers of the RLC sublayer 353 and the MAC sublayer 352. Although not shown, the UE may also have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0209] As an embodiment, the PDCP 304 sends data to the RLC 303 or receives data from the RLC 303 through an RLC channel.

[0210] As an embodiment, the PDCP354 sends data to the RLC353 or receives data from the RLC353 through the RLC channel.

[0211] As an embodiment, the RLC 303 sends data to the MAC 302 or receives data from the MAC 302 through a logical channel.

[0212] As an embodiment, the RLC353 sends data to the MAC352 or receives data from the MAC352 through a logical channel.

[0213] As an embodiment, the MAC 302 sends data to the PHY 301 or receives data from the PHY 301 through a transmission channel.

[0214] As an embodiment, the MAC 352 sends data to the PHY 351 or receives data from the PHY 351 through a transmission channel.

[0215] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0216] As an example, Figure 3 The wireless protocol architecture in is applicable to the second node in this application.

[0217] As an embodiment, the first measurement report in the present application is generated in the RRC306.

[0218] As an embodiment, the first measurement report in the present application is generated by the MAC302 or the MAC352.

[0219] As an embodiment, the second measurement report in the present application is generated in the RRC306.

[0220] As an embodiment, the second measurement report in the present application is generated by the MAC302 or the MAC352.

[0221] As an embodiment, the first signaling in the present application is generated in the RRC306.

[0222] As an embodiment, the L2 layer 305 or 355 belongs to a higher layer.

[0223] As an embodiment, the RRC sublayer 306 in the L3 layer belongs to a higher layer.

[0224] Example 4

[0225] Embodiment 4 illustrates a hardware module schematic diagram of a communication device according to an embodiment of the present application, as shown in the attached Figure 4 shown. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in an access network.

[0226] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0227] The second communication device 410 includes a controller / processor 475, a memory 476, a data source 477, a receive processor 470, a transmit processor 416, a multi-antenna receive processor 472, a multi-antenna transmit processor 471, a transmitter / receiver 418 and an antenna 420.

[0228] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, the upper layer data packets from the core network or the upper layer data packets from the data source 477 are provided to the controller / processor 475. The core network and the data source 477 represent all the protocol layers above the L2 layer. The controller / processor 475 implements the functionality of the L2 layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for the retransmission of lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate FEC (forward error correction) at the second communication device 410, as well as mapping of signal constellations based on various modulation schemes (e.g., BPSK (binary phase shift keying), QPSK (quadrature phase shift keying), M-PSK (M phase shift keying), M-QAM (M quadrature amplitude modulation)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to a subcarrier, multiplexes it with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses IFFT (inverse fast Fourier transform) to generate a physical channel carrying a time-domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

[0229] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses FFT (Fast Fourier Transform) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any spatial stream with the first communication device 450 as the destination. The symbols on each spatial stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program codes and data. The memory 460 may be referred to as a computer-readable medium. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover higher layer data packets from the second communication device 410. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing.

[0230] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, the upper layer data packets are provided to the controller / processor 459 using the data source 467. The data source 467 represents all the protocol layers above the L2 layer. Similar to the transmission function at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels, and implements L2 layer functions for user plane and control plane. The controller / processor 459 is also responsible for the retransmission of lost packets and signaling to the second communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0231] In the transmission from the first communication device 450 to the second communication device 410, the functions at the second communication device 410 are similar to the reception functions at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the first communication device 450. The upper layer data packets from the controller / processor 475 may be provided to the core network or all protocol layers above the L2 layer, and various control signals may also be provided to the core network or L3 for L3 processing.

[0232] As an embodiment, the first communication device 450 apparatus includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor, and the first communication device 450 apparatus at least: predicts whether any condition in a first condition set is met; if it is predicted that any condition in the first condition set is met, starts to perform channel measurement on the first cell and the second cell respectively within a first time interval; sends a first measurement report; wherein one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0233] As an embodiment, the first communication device 450 apparatus includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates an action when executed by at least one processor, and the action includes: predicting whether any condition in a first condition set is met; if it is predicted that any condition in the first condition set is met, starting to perform channel measurements on the first cell and the second cell respectively within a first time interval; sending a first measurement report; wherein one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on a prediction; the first time interval includes at least one measurement cycle.

[0234] As an embodiment, the second communication device 410 device includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 410 device at least: any condition in the first condition set is satisfied and predicted; receives a first measurement report; wherein, within a first time interval, channel measurements are performed on the first cell and the second cell respectively; one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0235] As an embodiment, the second communication device 410 apparatus includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates an action when executed by at least one processor, and the action includes: any condition in the first condition set is satisfied and predicted; receiving a first measurement report; wherein, within a first time interval, channel measurements are performed on the first cell and the second cell respectively; one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on a prediction; the first time interval includes at least one measurement cycle.

[0236] As an embodiment, the first communication device 450 corresponds to the first node in this application.

[0237] As an embodiment, the second communication device 410 corresponds to the second node in this application.

[0238] As an embodiment, the first communication device 450 is a UE.

[0239] As an embodiment, the first communication device 450 is a relay node.

[0240] As an embodiment, the second communication device 410 is a base station.

[0241] As an embodiment, the second communication device 410 is a distribution unit of a base station.

[0242] As an embodiment, the second communication device 410 is a piece of code in a distributed unit of a base station.

[0243] As an embodiment, at least one of the antenna 452, the transmitter 454, the multi-antenna transmit processor 457, the transmit processor 468 or the controller / processor 459 is used to send the first measurement report in the present application.

[0244] As an embodiment, at least one of the antenna 420, the receiver 418, the multi-antenna reception processor 472, the reception processor 470 or the controller / processor 475 is used to receive the first measurement report in the present application.

[0245] As an embodiment, at least one of the antenna 452, the transmitter 454, the multi-antenna transmit processor 457, the transmit processor 468 or the controller / processor 459 is used to send the second measurement report in the present application.

[0246] As an embodiment, at least one of the antenna 420, the receiver 418, the multi-antenna reception processor 472, the reception processor 470 or the controller / processor 475 is used to receive the second measurement report in the present application.

[0247] As an embodiment, at least one of the antenna 420, the transmitter 418, the multi-antenna transmit processor 471, the transmit processor 416 or the controller / processor 475 is used to send the first signaling in the present application.

[0248] As an embodiment, at least one of the antenna 452, the receiver 454, the multi-antenna receiving processor 458, the receiving processor 456 or the controller / processor 459 is used to receive the first signaling in the present application.

[0249] Example 5

[0250] Embodiment 5 illustrates a wireless signal transmission flow chart between a first node and a second node according to an embodiment of the present application, as shown in the attached figure. Figure 5 As shown in the attached Figure 5 In the example, the first node N51 and the second node N52 communicate via a wireless interface. It should be noted that the order in this example does not limit the signal transmission order and implementation order in this application.

[0251] for First node N51, receiving a first signaling in step S511; determining in step S512 that any condition in a first condition set is predicted to be satisfied; sending a first measurement report in step S513; determining in step S514 that any condition in a second condition set is satisfied within the first time interval; and sending a second measurement report in step S515.

[0252] for Second node N52 , sending a first signaling in step S521; receiving a second measurement report in step S522; and receiving the first measurement report in step S523.

[0253] In embodiment 5, it is predicted that any condition in the first condition set is satisfied, and channel measurement is performed on the first cell and the second cell respectively within a first time interval; a first measurement report is sent; wherein one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle; a first signaling is received, and the first signaling configures a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurement is performed on the measurement object to obtain a channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value; based on the channel measurement value of a cell, it is inferred that the cell is predicted A channel prediction value in a time, or, inferring the channel quality of the cell in the predicted time according to the channel measurement value of the cell; wherein the first signaling configures the predicted time for the cell; the cell is the first cell or the second cell; the first time interval and at least one of the predicted time of the first cell or the predicted time of the second cell overlap; any condition in the second condition set is met within the first time interval, and a second measurement report is sent; wherein the length of the first time interval is less than the triggering time length of the first condition set; the second condition set includes a condition that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold; the second condition set includes a condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

[0254] As an embodiment, the second node N52 is a base station maintaining a serving cell of the first node N51.

[0255] As an embodiment, the second node N52 is a Transmit / Receive Point (TRP) of a service cell of the first node N51.

[0256] As an embodiment, the second node N52 is a maintaining base station of a master cell group (MCG) of the first node N51.

[0257] As an embodiment, the second node N52 is a base station maintaining a secondary cell group (SCG) of the first node N51.

[0258] As an embodiment, the second node N52 is a MgNB (master gNB).

[0259] As an embodiment, the second node N52 is an SgNB (secondary gNB).

[0260] As an embodiment, the first node N51 and the second node N52 are transmitted through at least the first cell.

[0261] As an embodiment, the first node N51 is a UE.

[0262] As an embodiment, the first signaling configures measurement objects and measurement time for the first cell and the second cell respectively.

[0263] As an embodiment, the first signaling is high-layer signaling.

[0264] As an embodiment, the first signaling is RRC signaling.

[0265] As an embodiment, the first signaling is RRCReconfiguration (RRC reconfiguration).

[0266] As an embodiment, the first signaling is at least one IE (Information element) included in the RRC signaling.

[0267] As an embodiment, the first signaling includes MeasConfig (measurement configuration) IE.

[0268] As an embodiment, the first signaling includes MeasObjectToAddModList (measurement object add modification list).

[0269] As an embodiment, the first signaling includes MeasIdToAddModList (measurement identifier add modification list).

[0270] As an embodiment, the first signaling indicates the first cell and configures a measurement object for the first cell.

[0271] As an embodiment, the first signaling indicates the second cell and configures a measurement object for the second cell.

[0272] As an embodiment, the parameters for configuring the measurement object include information of SS (Synchronization Signals) / PBCH (Physical Broadcast Channel) block intra-frequency / inter-frequency measurement.

[0273] As an embodiment, the parameters for configuring the measurement object include information of CSI-RS intra-frequency / inter-frequency measurement.

[0274] As an embodiment, the parameters for configuring the measurement object include measurement frequency information.

[0275] As an embodiment, the parameters for configuring the measurement object include measurement time information.

[0276] As an embodiment, the parameters for configuring the measurement object include a measurement period.

[0277] As an embodiment, the first signaling configures measurement reporting for the first cell and the second cell respectively.

[0278] As an embodiment, the first signaling includes ReportConfigNR (report configuration new air interface) IE.

[0279] As an embodiment, the first signaling includes ReportConfigToAddModList (report configuration to add modification list).

[0280] As an embodiment, the parameters for configuring the measurement reporting include criteria for triggering a measurement reporting event.

[0281] As an embodiment, configuring the measurement reporting parameters includes triggering the measurement reporting period.

[0282] As an embodiment, a measurement report of a cell is associated with a measurement object of the cell.

[0283] As a sub-embodiment of the above embodiment, the measurement report of one cell includes a result obtained by performing channel measurement on a measurement object of the one cell.

[0284] As a sub-embodiment of the above embodiment, the measurement report of one cell includes a result obtained by performing channel prediction on a measurement object of the one cell.

[0285] As an embodiment, performing channel measurement on the measurement object in the measurement time to obtain the channel measurement value of the one cell includes: obtaining at least one channel measurement value for the first cell by measuring the measurement object of the first cell in the measurement time.

[0286] As an embodiment, performing channel measurement on the measurement object in the measurement time to obtain the channel measurement value of the one cell includes: obtaining at least one channel measurement value for the second cell by measuring the measurement object of the second cell in the measurement time.

[0287] As an embodiment, the channel measurement value is RSRP, or RSRQ, or SINR.

[0288] As an embodiment, the channel measurement value is a layer 1 measurement result, or a layer 3 measurement result.

[0289] As an embodiment, the channel quality of one cell depending on the channel measurement value means that the channel quality of one cell is obtained through channel measurement.

[0290] As a sub-embodiment of the above embodiment, the measured channel quality of the first cell is obtained by at least one channel measurement value for the first cell.

[0291] As a sub-embodiment of the above embodiment, the measured channel quality of the second cell is obtained by at least one channel measurement value for the second cell.

[0292] As an embodiment, obtaining the channel quality of a cell through channel measurement includes: obtaining the at least one channel measurement value through channel measurement for a cell, and obtaining the channel quality of a cell after filtering at least part of the at least one channel measurement value.

[0293] As an embodiment, it is determined that any condition in the first set of conditions based on prediction is met, thereby triggering the first measurement report.

[0294] As an embodiment, after determining that any condition in the first set of conditions based on prediction is satisfied, the first node starts measuring channel qualities of the first cell and the second cell.

[0295] As an embodiment, the second measurement report is triggered when any condition in the second condition set based on measurement within the first time interval is met.

[0296] As an embodiment, the first time interval is a triggering time length of the second condition set.

[0297] As an embodiment, the measurement results of performing channel measurement on the first cell and the second cell respectively within the first time interval are the measured channel quality of the first cell and the measured channel quality of the second cell respectively.

[0298] As an embodiment, the second condition set includes at least one condition.

[0299] As an embodiment, any condition included in the second condition set is based on measurement.

[0300] As a sub-embodiment of the above embodiment, when the determination of a condition depends only on the measurement result, the condition is based on measurement.

[0301] As an embodiment, a feature that distinguishes any condition included in the second condition set from any condition included in the first condition set is that the channel quality of the first cell and the channel quality of the second cell in any condition included in the second condition set are both based on measurement, while at least one of the channel quality of the first cell and the channel quality of the second cell in any condition included in the first condition set is based on prediction.

[0302] As an embodiment, the second condition set is the first candidate condition set, and the second condition belongs to the first candidate condition set.

[0303] As an embodiment, the second condition is that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

[0304] As a sub-embodiment of the above embodiment, a result of subtracting the channel quality of the second cell from the channel quality of the first cell is greater than the first threshold.

[0305] As a sub - embodiment of the above - mentioned embodiment, the result of adding the channel quality of the first cell plus a fifth offset and subtracting the sum of the channel quality of the second cell plus a sixth offset is greater than the first threshold; wherein, the fifth offset and the sixth offset are respectively configured by the network.

[0306] As a sub - embodiment of the above - mentioned embodiment, Mn2+Ofn+Ocn+Hys2<Mp2+Ofp+Ocp+Off2; where Mn2 is the measured channel quality of the second cell without considering the offset, Ofn is the specific offset configured for the measurement object of the reference signal of the second cell, Ocn is the specific offset configured for the second cell, Hys2 is the hysteresis parameter configured for the second condition, Mp2 is the measured channel quality of the first cell without considering the offset, the parameter Ofp is the specific offset configured for the measurement object of the first cell, the parameter Ocp is the specific offset configured for the first cell, and the parameter Off2 is the offset parameter configured for the second condition.

[0307] As an embodiment, Hys2 is the first threshold.

[0308] As an embodiment, the first threshold is configured by the network.

[0309] As an embodiment, the first threshold is pre - configured.

[0310] As an embodiment, the first threshold is greater than 0.

[0311] As an embodiment, the first threshold is the same as the second threshold.

[0312] As an embodiment, the first threshold is different from the second threshold.

[0313] As an embodiment, one of the conditions included in the first candidate condition set is that the measured channel quality of the first cell is better than a fifth threshold and the measured channel quality of the second cell is worse than a sixth threshold.

[0314] As a sub - embodiment of the above - mentioned embodiment, the measured channel quality of the first cell is greater than the fifth threshold and the measured channel quality of the second cell is less than the sixth threshold.

[0315] As a sub - embodiment of the above - mentioned embodiment, the sum of the channel quality of the measured first cell plus the seventh offset is greater than the fifth threshold, and the sum of the channel quality of the measured second cell plus the eighth offset is less than the sixth threshold; wherein, the seventh offset and the eighth offset are respectively configured by the network.

[0316] As a sub - embodiment of the above - mentioned embodiment, Mp2–Hys2>Thresh3, and Mn2+Ofn+Ocn+Hys2<Thresh4; where Mp2 is the channel quality of the measured first cell without including the offset, Thresh3 is the fifth threshold, Hys1 is the hysteresis parameter for this condition, Mn2 is the channel quality of the measured second cell without including the offset, Ofn is the specific offset configured for the measurement object of the second cell, Ocn is the specific offset configured for the second cell, and Thresh4 is the sixth threshold.

[0317] As an embodiment, the fifth threshold and the sixth threshold are respectively configured by the network.

[0318] As an embodiment, the fifth threshold and the sixth threshold are respectively pre - configured.

[0319] As an embodiment, one condition included in the first candidate condition set is that the condition for switching from the first cell to the second cell determined according to the channel quality of the measured first cell and the channel quality of the measured second cell is not satisfied.

[0320] As an embodiment, the second condition set is the second candidate condition set, and the second condition belongs to the second candidate condition set.

[0321] As an embodiment, the second condition is that the channel quality of the measured second cell is better than the channel quality of the measured first cell by more than the first threshold.

[0322] As a sub - embodiment of the above - mentioned embodiment, the result of subtracting the channel quality of the measured first cell from the channel quality of the measured second cell is greater than the first threshold.

[0323] As a sub - embodiment of the above - mentioned embodiment, the result of subtracting the sum of the channel quality of the measured second cell plus the fifth offset from the sum of the channel quality of the measured second cell plus the sixth offset is greater than the first threshold; where the fifth offset and the sixth offset are respectively configured by the network.

[0324] As a sub - embodiment of the above - mentioned embodiment, Mn2+Ofn+Ocn–Hys2>Mp2+Ofp+Ocp+Off2; where, Mn2 is the channel quality of the second cell measured without offset, Ofn is the specific offset configured for the measurement object of the reference signal of the second cell, Ocn is the specific offset configured for the second cell, Hys2 is the hysteresis parameter configured for the second condition, Mp2 is the channel quality of the first cell measured without offset, the parameter Ofp is the specific offset configured for the measurement object of the first cell, the parameter Ocp is the specific offset configured for the first cell, and the parameter Off2 is the offset parameter configured for the second condition.

[0325] As an embodiment, one condition included in the second candidate condition set is that the measured channel quality of the first cell is worse than a fifth threshold, and the measured channel quality of the second cell is better than a sixth threshold.

[0326] As a sub - embodiment of the above - mentioned embodiment, the measured channel quality of the first cell is less than the fifth threshold, and the measured channel quality of the second cell is greater than the sixth threshold.

[0327] As a sub - embodiment of the above - mentioned embodiment, the sum of the measured channel quality of the first cell plus a seventh offset is less than the fifth threshold, and the sum of the measured channel quality of the second cell plus an eighth offset is greater than the sixth threshold; where, the seventh offset and the eighth offset are respectively configured by the network.

[0328] As a sub - embodiment of the above - mentioned embodiment, Mp2+Hys2<Thresh3, and Mn2+Ofn+Ocn–Hys2>Thresh4; where, Mp2 is the channel quality of the first cell measured without offset, Thresh3 is the fifth threshold, Hys2 is the hysteresis parameter for this condition, Mn2 is the channel quality of the second cell measured without offset, Ofn is the specific offset configured for the measurement object of the second cell, Ocn is the specific offset configured for the second cell, and Thresh4 is the sixth threshold.

[0329] As an embodiment, one condition included in the second candidate condition set is that the condition for switching from the first cell to the second cell is satisfied according to the measured channel quality of the first cell and the measured channel quality of the second cell.

[0330] As an embodiment, any condition in the second condition set is met within the first time interval, including: the second condition set is the first candidate condition set, any condition in the first candidate condition set is met, and the value of the first field is 1; wherein, the first field is reportOnLeave (report on leaving).

[0331] As an embodiment, the value of the first domain is configured by the network, or defaults to 0.

[0332] As an embodiment, the second condition set is a first candidate condition set, and when any condition in the first candidate condition set is met and the value of the first domain is 1, the second measurement report is sent.

[0333] As an embodiment, when any condition included in the second condition set is met but the value of the first domain is 0, the second measurement report is not triggered.

[0334] As an embodiment, any condition in the second condition set is satisfied within the first time interval includes: the second condition set is the second candidate condition set, and any condition in the second candidate condition set is satisfied.

[0335] As an embodiment, the second condition set is a second candidate condition set, and the second measurement report is sent when any condition in the first candidate condition set is met.

[0336] As an embodiment, the second measurement report is an RRC message.

[0337] As an embodiment, the second measurement report is MeasurementReport.

[0338] As an embodiment, the second measurement report is MAC CE.

[0339] As an embodiment, the second measurement report is a layer 1 measurement report or a layer 3 measurement report.

[0340] As an embodiment, it is determined that any one condition in the first set of conditions based on measurement is met, thereby triggering the second measurement report.

[0341] As an embodiment, the second measurement report is sent in the first cell.

[0342] As an embodiment, sending the second measurement report in the first cell includes: sending the first measurement report on frequency domain resources of the first cell.

[0343] As an embodiment, the second measurement report is sent in the second cell; wherein, before sending the second measurement report, the first node switches from the first cell to the second cell.

[0344] As a sub-embodiment of the above embodiment, the signaling radio bearer of the first node is switched to the second cell.

[0345] As a sub-embodiment of the above embodiment, all radio bearers (including signaling radio bearers and data radio bearers) of the first node are switched to the second cell.

[0346] As an embodiment, sending the second measurement report in the second cell includes: sending the first measurement report on frequency domain resources of the second cell.

[0347] As an embodiment, whether the first node switches from the first cell to the second cell before sending the second measurement report depends on network implementation.

[0348] As an embodiment, whether the first node switches from the first cell to the second cell before sending the second measurement report depends on UE implementation.

[0349] As an embodiment, the channel quality of the first cell and the channel quality of the second cell included in the second measurement report indication are based on measurement.

[0350] As an embodiment, the second measurement report includes an event that triggers the second measurement report.

[0351] As an embodiment, the second measurement report indicates that a criterion of a measurement reporting event is met, and the measurement reporting event is an A3 event or an A5 event.

[0352] As an embodiment, the second measurement report indicates that an entering condition for switching from the first cell to the second cell is met.

[0353] As an embodiment, the second measurement report indicates that a leaving condition for switching from the first cell to the second cell is met.

[0354] As an embodiment, the second measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0355] As an embodiment, the second measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report is related to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0356] As an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: generating the first measurement report based on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0357] As an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report includes at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0358] As an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report includes at least one channel quality reference value, and the at least one channel quality reference value is related to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0359] As an embodiment, the predicted channel quality is the predicted channel quality before the second measurement report is sent.

[0360] As an embodiment, the predicted channel quality reflects the channel quality before the second measurement report is sent.

[0361] As an embodiment, the predicted channel quality is obtained through channel prediction.

[0362] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is not obtained through channel measurement.

[0363] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is obtained through interpolation calculation.

[0364] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is obtained through extrapolation calculation.

[0365] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is obtained through AI model prediction.

[0366] As an embodiment, the predicted channel quality is obtained by channel prediction, including: the predicted channel quality is obtained by inferring at least one channel measurement value in at least one of the time domain, frequency domain and spatial domain.

[0367] As an embodiment, the second measurement report and the first measurement report are for the same measurement configuration (MeasConfig).

[0368] As an embodiment, the second measurement report and the first measurement report are for the same measurement identifier (MeasId).

[0369] As an embodiment, one measurement identifier indicates one measurement object and one reporting configuration.

[0370] As an embodiment, the channel quality of the first cell measured and included in the second measurement report is the channel quality of the first cell measured within the first time interval.

[0371] As an embodiment, the measured channel quality of the second cell included in the second measurement report is the channel quality of the second cell measured within the first time interval.

[0372] As an embodiment, the measured channel quality of the first cell included in the second measurement report and the predicted channel quality of the first cell included in the first measurement report are for the same measurement object.

[0373] As an embodiment, the measured channel quality of the second cell included in the second measurement report and the predicted channel quality of the second cell included in the first measurement report are for the same measurement object.

[0374] As an embodiment, the measurement object includes information used for measurement.

[0375] As a sub-embodiment of the above embodiment, the information applied for measurement includes ssbFrequency (SS / PBCH block frequency).

[0376] As a sub-embodiment of the above embodiment, the information applied for measurement includes ssbSubCarrierSpacing (SS / PBCH block subcarrier spacing).

[0377] As a sub-embodiment of the above embodiment, the information applied for measurement includes smtc (SS / PBCH block measurement timing configuration, SS / PBCH block measurement timing configuration).

[0378] As a sub-embodiment of the above embodiment, the information applied for measurement includes reference signal configuration.

[0379] As a sub-embodiment of the above embodiment, the information applied for measurement includes a measured cell.

[0380] As an embodiment, after the first measurement report is sent and before the second measurement report is sent, no measurement report for the same measurement configuration, or for the same measurement identifier, or for the same measurement object is sent.

[0381] As an embodiment, the channel quality of the first cell in the first condition is based on prediction, and the second measurement report depends on the predicted channel quality of the first cell.

[0382] As a sub-embodiment of the above embodiment, the second measurement report indicates whether the prediction of the channel quality for the first cell is correct.

[0383] As a sub-embodiment of the above embodiment, the second measurement report includes at least one channel quality reference value, and the at least one channel quality reference value includes the difference between the channel quality of the first cell measured when reporting the second measurement report and the channel quality of the first cell predicted when reporting the first measurement report; wherein the channel quality is RSRP, or RSRQ, or SINR.

[0384] As a sub-embodiment of the above embodiment, the second measurement report includes the measured channel quality of the first cell; wherein, the absolute value of the difference between the channel quality of the first cell measured when reporting the second measurement report and the channel quality of the first cell predicted when reporting the first measurement report is greater than a preset value, the preset value is configurable or pre-configured, and the channel quality is RSRP, or RSRQ, or SINR.

[0385] As an embodiment, the channel quality of the second cell in the first condition is based on prediction, and the second measurement report depends on the predicted channel quality of the second cell.

[0386] As a sub-embodiment of the above embodiment, the second measurement report indicates whether the prediction of the channel quality for the second cell is correct.

[0387] As a sub-embodiment of the above embodiment, the second measurement report includes at least one channel quality reference value, and the at least one channel quality reference value includes the difference between the channel quality of the second cell measured when reporting the second measurement report and the channel quality of the second cell predicted when reporting the first measurement report; wherein the channel quality is RSRP, or RSRQ, or SINR.

[0388] As a sub-embodiment of the above embodiment, the second measurement report includes the measured channel quality of the second cell; wherein, the absolute value of the difference between the channel quality of the second cell measured when reporting the second measurement report and the channel quality of the second cell predicted when reporting the first measurement report is greater than a preset value, the preset value is configurable or pre-configured, and the channel quality is RSRP, or RSRQ, or SINR.

[0389] As an embodiment, the second measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the second measurement report is associated with the first measurement report.

[0390] As a sub-embodiment of the above embodiment, the second measurement report indicates whether the first measurement report is correct.

[0391] As a sub-embodiment of the above embodiment, the second measurement report includes at least one of the deviation between the measured channel quality of the first cell and the predicted channel quality of the first cell, or the deviation between the measured channel quality of the second cell and the predicted channel quality of the second cell.

[0392] As a sub-embodiment of the above embodiment, the triggering of the second measurement report depends on the sending of the first measurement report.

[0393] As a sub-embodiment of the above embodiment, when the first measurement report is not sent, the second measurement report is not triggered.

[0394] As a sub-embodiment of the above embodiment, after the first measurement report is sent, the second measurement report is triggered within the first time interval.

[0395] As a sub-embodiment of the above embodiment, the second measurement report simultaneously includes at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0396] As an embodiment, channel measurement and / or channel prediction is performed for a cell according to the measurement and reporting configured by the network for the cell, and the measurement results and / or prediction results are reported; wherein the cell is the first cell or the second cell.

[0397] Example 6

[0398] Embodiment 6 illustrates a schematic diagram of a relationship in which a first receiver infers a channel prediction value or a channel quality based on a channel measurement value according to an embodiment of the present application, as shown in the attached figure. Figure 6 shown.

[0399] In Example 6, a first receiver infers a channel prediction value of the one cell at a prediction time based on a channel measurement value of the one cell, or infers a channel quality of the one cell at the prediction time based on the channel measurement value of the one cell; wherein the first signaling configures the prediction time for the one cell; and the one cell is the first cell or the second cell.

[0400] As an embodiment, the first signaling configures prediction time for the first cell and the second cell respectively.

[0401] As an embodiment, the first receiver infers at least one channel prediction value for the one cell in the prediction time based on at least one channel measurement value input for the one cell; wherein the one cell is the first cell or the second cell.

[0402] As a sub-embodiment of the above embodiment, at least the former of the at least one channel prediction value of the cell and the at least one channel measurement value of the cell is filtered to obtain the predicted channel quality of the cell.

[0403] As an embodiment, the reasoning is performed in at least one of the time domain, the frequency domain and the spatial domain.

[0404] As an embodiment, at least one channel prediction value is obtained by inferring at least one channel measurement value in at least one of the time domain, frequency domain and spatial domain.

[0405] As an embodiment, at least one channel prediction value on the time domain resources included in the second time length is inferred from at least one channel measurement value measured on the time domain resources included in the first time length; wherein the time domain resources included in the first time length are earlier than the time domain resources included in the second time length.

[0406] As a sub-embodiment of the above embodiment, the time domain resources included in the first time length include the measurement time configured by the first signaling; and the time domain resources included in the second time length include the prediction time configured by the first signaling.

[0407] As an embodiment, at least one channel prediction value on a second frequency domain resource set is inferred from at least one channel measurement value measured on a first frequency domain resource set; wherein the frequency domain resources included in the first frequency domain resource set and the frequency domain resources included in the second frequency domain resource set are at least partially different.

[0408] As an embodiment, at least one channel prediction value on a second beam set is inferred from at least one channel measurement value measured on a first beam set; wherein the first beam set and the second beam set are orthogonal, and the first beam set and the second beam set respectively include at least one beam.

[0409] As an embodiment, the first receiver infers the channel quality of the one cell at the predicted time based on at least one channel measurement value input for the one cell; wherein the one cell is the first cell or the second cell.

[0410] In case A of embodiment 6, the first receiver infers at least one channel prediction value for one cell based on at least one channel measurement value for the one cell.

[0411] The above embodiment predicts the channel quality of the one cell based on the at least one channel prediction value of the one cell.

[0412] In case B of embodiment 6, the first receiver infers the channel quality for one cell based on at least one channel measurement value for the one cell.

[0413] The above embodiment predicts the channel quality of the one cell based on the at least one channel measurement value of the one cell.

[0414] The difference between Case A and Case B of Example 6 is that in Case A, a channel prediction value is obtained by inference from a channel measurement value, and then the channel quality is obtained by further filtering; while in Case B, the channel quality is directly obtained by inference from the channel measurement value.

[0415] Unless otherwise specified, the method for obtaining channel quality in the present application is applicable to both the first cell and the second cell.

[0416] As an example, Figure 6 The first receiver comprises at least Fig. 9 The first processor in.

[0417] Example 7

[0418] Embodiment 7 illustrates a schematic diagram of the relationship between the first time interval and the prediction time, channel measurement, and channel prediction according to an embodiment of the present application, as shown in the attached figure. Figure 7 As shown in the attached Figure 7 In FIG. 1 , the solid rectangular box indicates the time when the channel measurement is performed, and the dotted rectangular box indicates the time when the channel prediction is performed.

[0419] Attached Figure 7 The upper part shows the predicted time of the first signaling configuration for a cell, Figure 7 The lower half of shows that after the first measurement report is sent, channel measurement is performed within the configured first time interval; wherein the first time interval and the prediction time overlap in the time domain.

[0420] As an example, in the attached Figure 7 The predicted time in is the predicted time configured by the first signaling for the first cell.

[0421] As an example, in the attached Figure 7 The predicted time in is the predicted time configured by the first signaling for the second cell.

[0422] As an embodiment, the first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

[0423] As an embodiment, the first time interval overlaps with the predicted time of the first cell and also overlaps with the predicted time of the second cell.

[0424] As an embodiment, the first time interval overlaps with the predicted time of the first cell, but does not overlap with the predicted time of the second cell.

[0425] As an embodiment, the first time interval overlaps with the predicted time of the second cell, but does not overlap with the predicted time of the first cell.

[0426] As an embodiment, the prediction time of the first cell and the prediction time of the second cell are orthogonal.

[0427] As an embodiment, the predicted time of the first cell is the same as the predicted time of the second cell.

[0428] As an embodiment, the predicted time of the first cell and the predicted time of the second cell partially overlap.

[0429] As an example, in the attached Figure 7 The time before time t0 in the example includes the measurement time for one cell configured by the first signaling.

[0430] As an embodiment, the measurement time includes a positive integer number of channel measurement cycles.

[0431] As an embodiment, a measurement is performed once in each measurement period in the measurement time to obtain a channel measurement value, and further obtain the measured channel quality.

[0432] As an embodiment, the at least one channel measurement value is obtained before the time t0.

[0433] As an embodiment, the time intervals for obtaining two adjacent channel measurement values, adjacent channel measurement values ​​and channel prediction values, and two adjacent channel prediction values ​​are the same, which is a channel measurement cycle.

[0434] As an embodiment, the prediction time includes a positive integer number of channel measurement cycles.

[0435] As an example, in the attached Figure 7 At the time t1 in the prediction time, the channel prediction value corresponding to each measurement period included in the prediction time is obtained based on the prediction; wherein the time t1 is the time before the prediction time starts.

[0436] As a sub-embodiment of the above embodiment, the time t1 and the time t0 are the same time.

[0437] As a sub-embodiment of the above embodiment, the time t1 is a time after the time t0, and at least one channel measurement cycle is included between the time t1 and the time t0.

[0438] As an embodiment, the time t1 is a time before the first measurement cycle of all channel measurement cycles included in the prediction time.

[0439] As an embodiment, the time t1 is the start time of the first measurement cycle among all channel measurement cycles included in the prediction time.

[0440] As an embodiment, the channel quality corresponding to each measurement period included in the prediction time is obtained based on prediction.

[0441] As an embodiment, the at least one channel prediction value included in the prediction time is derived based on the at least one channel measurement value obtained before the time t0; wherein the deduction is performed in the time domain.

[0442] As an embodiment, the at least one channel prediction value included in the prediction time is derived based on the at least one channel measurement value obtained before the time t1; wherein the deduction is performed in the time domain.

[0443] As an embodiment, the channel prediction value at the prediction time depends on at least one of the channel measurement value before the channel prediction time and the channel prediction value before the channel prediction time.

[0444] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel measurement value before the channel prediction time.

[0445] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel prediction value before the channel prediction time.

[0446] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel measurement value before the channel prediction time and at least one channel prediction value before the channel prediction time.

[0447] As an embodiment, the first measurement report is triggered by a predicted event, and within the first time interval after the first measurement report is sent, additional channel measurements are performed on the first cell and the second cell respectively within the predicted time.

[0448] As an embodiment, the first measurement report triggers the additional channel measurement within the predicted time.

[0449] As an embodiment, the additional channel measurement corresponds to the additional Figure 7 Channel measurements in the lower half.

[0450] As an embodiment, additional channel measurement is performed in a measurement interval corresponding to at least part of the channel prediction values ​​within the prediction time.

[0451] As a sub-embodiment of the above embodiment, the above method can effectively avoid inaccurate channel prediction through additional channel measurement.

[0452] As a sub-embodiment of the above embodiment, the above method can effectively verify whether the prediction result included in the second measurement report is accurate by triggering additional channel measurement, so as to reduce the risk of the base station making unreasonable judgments.

[0453] As an embodiment, the measurement result of the additional channel measurement satisfies the measurement event, triggering the second measurement report.

[0454] As an embodiment, any one condition of the second condition set of the measurement result of the additional channel measurement triggers the second measurement report.

[0455] As a sub-embodiment of the above embodiment, the above method may send the second measurement report to indicate to the base station whether the predicted channel quality is accurate.

[0456] As a sub-embodiment of the above embodiment, the UE can verify by itself whether the predicted channel quality is accurate through the above method.

[0457] As an embodiment, the second measurement report includes the result of channel measurement performed within the first time interval.

[0458] As an embodiment, the channel quality of the first cell measured and included in the second measurement report is the channel quality of the first cell measured within the first time interval.

[0459] As an embodiment, the measured channel quality of the second cell included in the second measurement report is the channel quality of the second cell measured within the first time interval.

[0460] Example 8

[0461] Embodiment 8 illustrates a schematic diagram of the relationship between the first time interval and the second time interval according to an embodiment of the present application, as shown in the attached figure. Figure 8 As shown in the attached Figure 8 In FIG. 1 , the solid rectangular box indicates the time when the channel measurement is performed, and the dashed rectangular box indicates the time when additional channel measurement is performed within the channel prediction time.

[0462] As an embodiment, the second time interval is the triggering time length of the first condition set.

[0463] As an embodiment, the first condition being satisfied includes the first condition being satisfied within the second time interval.

[0464] As an embodiment, the first node predicts the channel quality of a cell within a channel prediction time based at least on channel measurement inference within the second time interval; wherein the one cell is the first cell or the second cell.

[0465] As an embodiment, the first condition is met when the channel quality of the second cell in the second time interval is better than the channel quality of the first cell in the second time interval by more than the first threshold, wherein at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0466] As an embodiment, the second time interval is the length of timeToTrigger (trigger time) defined for the predicted event.

[0467] As an embodiment, the second time interval is the triggering time of the first measurement report.

[0468] As an embodiment, the second condition being satisfied includes the second condition being satisfied within the first time interval.

[0469] As an embodiment, the second condition is met when the channel quality of the second cell in the first time interval is better than the channel quality of the first cell in the first time interval by more than the second threshold, wherein at least one of the channel quality of the second cell and the channel quality of the first cell is based on measurement.

[0470] As an embodiment, the first time interval is the length of timeToTrigger (trigger time) defined for the measurement event.

[0471] As an embodiment, the first time interval is a triggering time of the second measurement report.

[0472] As an embodiment, the length of the first time interval is not greater than the length of the second time interval.

[0473] As a sub-embodiment of the above embodiment, the length of the first time interval is equal to the length of the second time interval.

[0474] As a sub-embodiment of the above embodiment, the length of the first time interval is smaller than the length of the second time interval.

[0475] As an embodiment, the first time interval includes M measurement cycles, and the value of M is a positive integer.

[0476] As an embodiment, the second time interval includes N measurement cycles, and the value of N is a positive integer.

[0477] As a sub-embodiment of the above two embodiments, the M is less than or equal to the N.

[0478] As an embodiment, the first time interval and the second time interval are respectively configured by a network.

[0479] As an embodiment, the second time interval is configured by the network, and the first time interval is determined by the UE itself.

[0480] As an embodiment, the first time interval is configured by the network, and the second time interval is determined by the UE itself.

[0481] As an embodiment, the time domain resources included in the first time interval are later than the time domain resources included in the second time interval.

[0482] As an embodiment, the time domain resources included in the first time interval closely follow the time domain resources included in the second time interval.

[0483] As an example, in the attached Figure 8 , the number of measurement cycles included in the second time interval and the first time interval is shown. The second time interval includes 4 measurement cycles, and the first time interval includes 3 measurement cycles.

[0484] As an embodiment, the second measurement report is triggered faster than the first measurement report.

[0485] As an embodiment, the above method can enable the UE to verify the accuracy of channel prediction more quickly.

[0486] As an embodiment, the above method can send the second measurement report faster to indicate to the base station whether the first measurement report based on the prediction is accurate.

[0487] As an embodiment, the above method can effectively avoid the ping-pong effect caused by channel instability.

[0488] As an embodiment, when the length of the first time interval is equal to the length of the second time interval, the above method can simplify system configuration.

[0489] Example 9

[0490] Embodiment 9 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of the present application, as shown in the attached Fig. 9 Attached Fig. 9The invention comprises a first processor, a second processor and a third processor. In embodiment 9, the third processor sends a first data set to the second processor and sends a second data set to the first processor; the second processor generates a target parameter group according to the first data set, and the second processor sends the generated target parameter group to the first processor; the first processor processes the second data set using the target parameter group to obtain a first type of output. Fig. 9 In the first category, feedback is optional.

[0491] As an embodiment, the artificial intelligence (AI) includes machine learning (ML).

[0492] As an embodiment, the third processor performs measurement on the measurement object of at least one cell to obtain a first data set and a second data set; wherein the at least one cell includes the first cell and the second cell, the first data set includes at least one channel measurement value for the first cell and / or at least one channel measurement value for the second cell; the second data set includes at least one channel measurement value for the first cell and / or at least one channel measurement value for the second cell.

[0493] As an embodiment, the data included in the first data set and the data included in the second data set are at least partially different.

[0494] As an embodiment, the first data set and the second data set are obtained by performing measurements on a cell on different time domain resources.

[0495] As an embodiment, the first data set and the second data set are obtained by performing measurements on a cell on different frequency domain resources.

[0496] As an embodiment, the second processor includes an AI / ML training producer.

[0497] As an embodiment, the second processor includes an AI / ML training function.

[0498] As an embodiment, the first data set includes training data.

[0499] As an embodiment, the second processor is trained according to the input first data set, and the trained model is described by the target parameter group.

[0500] As an embodiment, the third processor is located at the first node, and the second processor is located at the second node.

[0501] The above embodiments can reduce the calculation burden of the UE.

[0502] As an embodiment, the third processor is located at the first node, and the second processor is located at the first node.

[0503] The above embodiments can reduce signaling overhead and optimize the training system.

[0504] As an embodiment, the target parameter group is input to the first processing machine.

[0505] As an embodiment, the first processor includes an AI / ML inference producer.

[0506] As an embodiment, the first processor includes AI / ML reasoning function.

[0507] As an embodiment, the second data set includes inference data.

[0508] As an embodiment, the first processing machine constructs a model according to the target parameter group, and inputs the second data set into the constructed model to obtain the first type of output.

[0509] As an embodiment, different target parameter groups can construct different models, and the corresponding first type outputs are also different.

[0510] As an embodiment, the target parameter group includes at least one of layer 1 filter coefficients, layer 3 filter coefficients, cell switching judgment criteria, interpolation algorithms, filtering algorithms and prediction algorithms.

[0511] As an embodiment, the target parameter group includes at least one of parameters of an interpolation algorithm, parameters of a filtering algorithm and parameters of a prediction algorithm.

[0512] As an embodiment, the first type of output is based on prediction.

[0513] As an embodiment, the first type of output is a channel prediction value.

[0514] As an embodiment, the first type of output is predicted channel quality.

[0515] As an embodiment, the first type of output is a predicted cell switching event.

[0516] As an embodiment, the first type of output is whether the predicted cell switching condition is met.

[0517] As an embodiment, the first processor is located at the first node.

[0518] As a sub-embodiment of the above embodiment, when the second processor is located at the second node, the target parameter group is sent to the first node through an air interface.

[0519] As an embodiment, the first processing machine generates the first type of feedback based on the first type of output and an error of the measured output.

[0520] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor will recalculate the target parameter group.

[0521] As an embodiment, the first processor is located near Figure 4 Controller / processor 475 in.

[0522] As an embodiment, the second processor is located in the adjacent Figure 4 Controller / processor 475 or controller / processor 459 in.

[0523] As an embodiment, the third processor is located in the adjacent Figure 4 Controller / processor 475 in.

[0524] Example 10

[0525] Embodiment 10 illustrates a schematic diagram based on artificial intelligence according to an embodiment of the present application, as shown in the attached Fig.10 Attached Fig.10 It includes five operations: ML training, ML testing, ML emulation, ML entity loading, and AI / ML inference. In Example 10, the ML training and the ML testing belong to the training phase, the ML emulation belongs to the simulation phase, the ML entity loading belongs to the deployment phase, and the AI / ML inference belongs to the inference phase. Fig.10 In the diagram, the lines with arrows indicate the sequence of the processes.

[0526] As an embodiment, the ML training, the ML testing and the ML simulation are performed on the second processor described in Embodiment 9; and the AI / ML reasoning is performed on the first processor described in Embodiment 9.

[0527] As an embodiment, the ML training includes initial training and re-training of one or a group of ML entities.

[0528] As an embodiment, the ML training relies on training data.

[0529] As an embodiment, the ML training includes ML entity validation.

[0530] As an embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[0531] As an embodiment, the ML entity verification relies on verification data.

[0532] As an example, if the result of the ML entity verification does not meet expectations, the ML entity will be retrained.

[0533] As an embodiment, the ML testing includes testing the validated ML entity to estimate the performance obtained by training.

[0534] As an example, if the result of the ML test meets expectations, the ML entity proceeds to the next stage; otherwise the ML entity will be retrained.

[0535] As an embodiment, the ML test relies on test data.

[0536] As an embodiment, the ML simulation performs inference of ML entities in a simulation environment.

[0537] As an embodiment, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using the ML entity.

[0538] As an embodiment, the simulation phase is optional.

[0539] As an embodiment, the ML entity loading is to obtain the trained ML entity to obtain the desired ML reasoning function.

[0540] As an embodiment, the deployment phase is optional.

[0541] As an example, when the training function and the inference function are co-located, the deployment is no longer required.

[0542] As an embodiment, the AI / ML reasoning function includes a prediction function.

[0543] As an embodiment, the AI / ML reasoning includes inferring at least one channel prediction value for one cell based on at least one channel measurement value for the one cell.

[0544] As an embodiment, the AI / ML reasoning includes inferring a channel quality for one cell based on at least one channel measurement value for the one cell.

[0545] As an embodiment, the AI / ML reasoning includes predicting that a condition for switching from the first cell to the second cell is met.

[0546] As an embodiment, the AI / ML reasoning includes predicting that the channel quality of the second cell is better than the channel quality of the first cell by more than the first threshold before sending the first measurement report.

[0547] Unless otherwise specified in this application, all reasoning behaviors are completed by the AI / ML reasoning.

[0548] Embodiment 11

[0549] Embodiment 11 illustrates a structural block diagram of a processing device in a first node according to an embodiment of the present application, as shown in the attached figure. Fig.11 As shown in the attached Fig.11 In the embodiment, the first node processing device 1100 includes a first receiver 1101 and a first transmitter 1102. The first node 1100 is a UE.

[0550] In embodiment 11, a first receiver 1101 predicts whether any condition in a first condition set is met; if it is predicted that any condition in the first condition set is met, channel measurement of the first cell and the second cell respectively starts to be performed within a first time interval; a first transmitter 1102 sends a first measurement report; wherein, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

[0551] As an embodiment, the first receiver 1101 receives a first signaling, wherein the first signaling configures a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurement is performed on the measurement object to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value.

[0552] The first receiver, the first receiver 1101, receives a first signaling, wherein the first signaling configures a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurement is performed on the measurement object to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value; the first receiver 1101 infers a channel prediction value of the cell at a prediction time based on the channel measurement value of the cell, or infers the channel quality of the cell at the prediction time based on the channel measurement value of the cell; wherein the first signaling configures the prediction time for the cell; and the cell is the first cell or the second cell.

[0553] As an embodiment, the first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

[0554] As an embodiment, the first transmitter 1102 sends a second measurement report when any condition in a second condition set is met within the first time interval; wherein the length of the first time interval is less than the triggering time length of the first condition set.

[0555] As an embodiment, the first transmitter 1102 sends a second measurement report when any condition in a second condition set is met within the first time interval; wherein the length of the first time interval is less than the trigger time length of the first condition set; and the second condition set includes a condition that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

[0556] As an embodiment, the first transmitter 1102 sends a second measurement report when any condition in a second condition set is met within the first time interval; wherein the length of the first time interval is less than the trigger time length of the first condition set; and the second condition set includes a condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

[0557] As an embodiment, the first receiver 1101 includes the attached Figure 4 The receiver 454 (including antenna 452), receive processor 456, multi-antenna receive processor 458 and controller / processor 459.

[0558] As an embodiment, the first receiver 1101 includes the attached Figure 4At least one of the receiver 454 (including antenna 452), receive processor 456, multi-antenna receive processor 458 or controller / processor 459.

[0559] As an embodiment, the first transmitter 1102 includes the attached Figure 4 The transmitter 454 (including antenna 452), transmit processor 468, multi-antenna transmit processor 457 and controller / processor 459.

[0560] As an embodiment, the first transmitter 1102 includes the attached Figure 4 At least one of the transmitter 454 (including antenna 452), the transmit processor 468, the multi-antenna transmit processor 457 or the controller / processor 459.

[0561] As an embodiment, the first node 1100 further includes a first processor 1103, and the first processor 1103 includes the Figure 4 Controller / processor 459 in.

[0562] As an embodiment, the first node 1100 further includes a second processor 1104 and a third processor 1105, wherein the second processor 1104 is optional.

[0563] As an embodiment, the second processor 1104 includes the attached Figure 4 Controller / processor 459 in.

[0564] As an embodiment, the third processor 1105 includes the attached Figure 4 Controller / processor 459 in.

[0565] Example 12

[0566] Embodiment 12 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application, as shown in the attached figure. Fig.12 As shown in the attached Fig.12 In the embodiment, the second node processing device 1200 includes a second receiver 1201 and a second transmitter 1202. The second node 1200 is a base station.

[0567] In embodiment 12, the second receiver 1201 receives a first measurement report; wherein, whether any condition in the first condition set is satisfied is predicted; if any condition in the first condition set is satisfied and predicted, channel measurement is performed on the first cell and the second cell respectively within a first time interval; one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by exceeding a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on a prediction; the first time interval includes at least one measurement cycle.

[0568] As an embodiment, the second transmitter 1202 sends a first signaling, wherein the first signaling configures a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurement is performed on the measurement object to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value.

[0569] The first receiver and the second transmitter 1202 send a first signaling, wherein the first signaling configures a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurement is performed on the measurement object to obtain a channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value; the channel measurement value of a cell is used to infer a channel prediction value of the cell at a prediction time, or the channel measurement value of the cell is used to infer the channel quality of the cell at the prediction time; wherein, the first signaling configures the prediction time for the cell; the cell is the first cell or the second cell.

[0570] As an embodiment, the first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

[0571] As an embodiment, the second receiver 1201 receives a second measurement report, wherein any condition in the second condition set is satisfied within the first time interval, and the length of the first time interval is less than the triggering time length of the first condition set.

[0572] As an embodiment, the second receiver 1201 receives a second measurement report; wherein, any condition in the second condition set is met within the first time interval; the length of the first time interval is less than the trigger time length of the first condition set; and one condition included in the second condition set is that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

[0573] As an embodiment, the second receiver 1201 receives a second measurement report; wherein, any condition in the second condition set is met within the first time interval; the length of the first time interval is less than the trigger time length of the first condition set; and one condition included in the second condition set is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

[0574] As an embodiment, the second receiver 1201 includes the attached Figure 4 The receiver 418 (including antenna 420), receive processor 470, multi-antenna receive processor 472 and controller / processor 475.

[0575] As an embodiment, the second receiver 1201 includes the attached Figure 4 At least one of the receiver 418 (including the antenna 420), the receive processor 470, the multi-antenna receive processor 472 or the controller / processor 475.

[0576] As an embodiment, the second transmitter 1202 includes the attached Figure 4 The transmitter 418 (including antenna 420), transmit processor 416, multi-antenna transmit processor 471 and controller / processor 475.

[0577] As an embodiment, the second transmitter 1202 includes the attached Figure 4 At least one of the transmitter 418 (including antenna 420), the transmit processor 416, the multi-antenna transmit processor 471 or the controller / processor 475.

[0578] As an embodiment, the second node 1200 further includes a fourth processor 1203, and the fourth processor 1203 is optional.

[0579] As an embodiment, the fourth processor 1203 includes the attached Figure 4 Controller / processor 475 in.

[0580] As an embodiment, the fourth processor 1203 completes the function of the second processor 1104.

[0581] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software functional module. The present application is not limited to any specific form of combination of software and hardware. The first type of communication node or UE or terminal in the present application includes but is not limited to mobile phones, tablet computers, notebooks, Internet cards, low-power devices, eMTC (enhanced Machine Type Communication) equipment, NB-IoT equipment, vehicle-mounted communication equipment, aircraft, airplanes, drones, remote-controlled aircraft and other wireless communication equipment. The second category of communication nodes or base stations or network-side devices in the present application include but are not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, eNBs, gNBs, transmission and reception nodes TRP (Transmission and Reception Point), relay satellites, satellite base stations, aerial base stations, test equipment, such as transceivers that simulate some functions of base stations, signaling testers and other wireless communication equipment.

[0582] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that: include: A first receiver predicts whether any condition in a first condition set is satisfied; if it is predicted that any condition in the first condition set is satisfied, starts to perform channel measurement on a first cell and a second cell respectively within a first time interval; A first transmitter sends a first measurement report; Among them, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

2. The first node according to claim 1, characterized in that: include: The first receiver receives a first signaling, where the first signaling configures a measurement object and a measurement time for a cell; Wherein, channel measurement is performed on the measurement object during the measurement time to obtain a channel measurement value of the cell; and the channel quality of the cell depends on the channel measurement value.

3. The first node according to claim 2, characterized in that: include: The first receiver infers a channel prediction value of the cell at a prediction time based on a channel measurement value of the cell, or infers a channel quality of the cell at the prediction time based on the channel measurement value of the cell; Wherein, the first signaling configures the prediction time for the one cell; The one cell is the first cell or the second cell.

4. The first node according to any one of claims 1 to 3, characterized in that: The first time interval overlaps with at least one of the predicted time of the first cell or the predicted time of the second cell.

5. The first node according to any one of claims 1 to 4, characterized in that: include: The first transmitter sends a second measurement report when any condition in a second condition set is satisfied within the first time interval; The length of the first time interval is shorter than the triggering time length of the first condition set.

6. The first node according to claim 5, characterized in that: One condition included in the second condition set is that the measured channel quality of the first cell is better than the measured channel quality of the second cell by more than the first threshold.

7. The first node according to claim 5, characterized in that: One condition included in the second condition set is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than the first threshold.

8. A second node used for wireless communication, characterized in that: include: Predicting whether any condition in the first condition set is satisfied; if it is predicted that any condition in the first condition set is satisfied, starting to perform channel measurement on the first cell and the second cell respectively within a first time interval; Sending a first measurement report; Among them, one of the conditions in the first condition set is that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the first time interval includes at least one measurement cycle.

9. A method for a first node used in wireless communication, characterized in that: include: A second receiver receives the first measurement report; Wherein, whether any condition in the first set of conditions is satisfied is predicted; If any condition in the first set of conditions is satisfied and predicted, channel measurement is performed on the first cell and the second cell respectively within a first time interval; one of the conditions in the first set of conditions is that the channel quality of the second cell is better than the channel quality of the first cell by exceeding a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on a prediction; the first time interval includes at least one measurement cycle.

10. A method for a second node used in wireless communication, characterized in that: include: receiving a first measurement report; Wherein, whether any condition in the first set of conditions is satisfied is predicted; If any condition in the first set of conditions is satisfied and predicted, channel measurement is performed on the first cell and the second cell respectively within a first time interval; one of the conditions in the first set of conditions is that the channel quality of the second cell is better than the channel quality of the first cell by exceeding a first threshold; the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is based on a prediction; the first time interval includes at least one measurement cycle.

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