Method for measurement reporting in wireless communication, and apparatus

Abstract

Disclosed in the present application are a method for measurement reporting in wireless communication, and an apparatus. The method comprises: a first node predicting whether any condition in a first condition set is satisfied; if it is predicted that any condition in the first condition set is satisfied, starting to separately perform channel measurement on a first cell and a second cell within a first time interval; and sending a first measurement report, one condition in the first condition set being 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 comprising the channel quality of the first cell and the channel quality of the second cell, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction, and the first time interval comprising at least one measurement period. The present application can continue to report the measurement-based channel quality after the prediction-based channel quality is reported, thereby improving system robustness.

Description

A method and apparatus for measurement reporting in wireless communication

[0001] This application claims priority to Chinese Patent Application No. 202410662023.2, filed on May 27, 2024, entitled "A method and apparatus for measurement reporting in wireless communication", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to methods and apparatus for supporting measurement reporting in wireless communication systems, and more particularly to methods and apparatus for event-triggered measurement reporting. Background Technology

[0003] The application scenarios of future wireless communication systems are becoming increasingly diversified, and different application scenarios place different performance requirements on the system. To meet the diverse performance needs of various application scenarios, the 3GPP (3rd Generation Partner Project) RAN (Radio Access Network) #72 plenary meeting decided to research New Radio (NR) (or 5G). The 3GPP RAN #75 plenary meeting approved the WI (Work Item) for NR technology, initiating standardization work. In NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technologies was initiated to explore their impact on system performance and system design. Compared to traditional processing methods, AI / ML has characteristics such as being training-based and requiring deployment.

[0004] Cell measurement is a crucial feature of wireless networks. First, the User Equipment (UE) performs cell selection or cell re-selection by measuring the channel quality (e.g., signal strength). When the UE is in RRC (Radio Resource Control) connection mode, it needs to report the measurement results to the serving base station. Based on different measurement results, the serving base station can instruct the UE to perform beam switching, cell handover, and other procedures, while also optimizing network deployment. Enhancing cell measurement reporting has been a focus of wireless communication research. Summary of the Invention

[0005] The inventors discovered through research that introducing AI (artificial intelligence) into the field of wireless communication can assist in many predictions, including measurement prediction and event prediction. How to effectively utilize prediction results and / or measurement results to improve the performance of wireless communication systems is worthy of further investigation.

[0006] To address the aforementioned issues, this application discloses a solution that improves system robustness by reporting measurement-based channel quality after reporting prediction-based channel quality. Where there is no conflict, the embodiments and features in the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined. Furthermore, although this application is initially intended for the Uu air interface, it can also be used for the PC5 air interface. Furthermore, although this application is initially intended for cell measurement reporting scenarios, it is also applicable to other prediction-based scenarios, such as cell handover prediction, handover failure prediction, and radio link failure prediction, achieving similar technical effects to those in the cell measurement reporting scenario. In addition, adopting a unified solution for different scenarios (including but not limited to cell measurement reporting, cell handover, cell handover failure, and radio link failure scenarios) helps reduce hardware complexity and cost. In particular, the interpretation of terms, nouns, functions and variables in this application (unless otherwise specified) can be found in the definitions in the 3GPP specification protocols TS36, TS38 and TS37 series.

[0007] This application discloses a method used in a first node of wireless communication, characterized by comprising:

[0008] Predict whether any condition in the first set of conditions is met; if it is predicted that any condition in the first set of conditions is met, start performing channel measurements on the first cell and the second cell respectively within the first time interval;

[0009] Send the first measurement report;

[0010] Wherein, 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 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, 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.

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

[0012] As an example, the above method is applicable to scenarios in communication systems where channel measurement and channel prediction are applied simultaneously to monitor cell channel quality.

[0013] As an example, 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 example, the above method can promptly indicate the changing trend of cell channel quality to the network by reporting the first measurement report based on the prediction.

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

[0016] As an example, the above method can save UE measurement overhead by obtaining channel quality through prediction.

[0017] As an example, the first measurement report is sent in response to the prediction that any one of the conditions in the first set of conditions is met.

[0018] According to one aspect of this application, the above method is characterized by comprising:

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

[0020] During the measurement time, channel measurements are performed on the measurement object to obtain the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value.

[0021] According to one aspect of this application, the above method is characterized by comprising:

[0022] The channel prediction value of a cell at the prediction time is inferred from the channel measurement value of a cell, or the channel quality of a cell at the prediction time is inferred from the channel measurement value of a cell.

[0023] Wherein, the first signaling configures the predicted time for the cell; the cell is either the first cell or the second cell.

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

[0025] As an example, the above method adds additional channel measurements, which can avoid inaccurate channel predictions and improve system robustness.

[0026] According to one aspect of this application, the above method is characterized by comprising:

[0027] When any condition in the second set of conditions is met within the first time interval, a second measurement report is sent.

[0028] Wherein, the length of the first time interval is less than the trigger time length of the first condition set.

[0029] As an example, 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 one 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 example, 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 example, 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 example, the second measurement report depends on the first prediction report.

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

[0035] As an example, 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 example, 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 example, the above method can indicate the channel quality prediction status 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 this application, the method is characterized in that the second set of conditions includes a condition that the channel quality of the first cell measured is better than the channel quality of the second cell measured by a first threshold.

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

[0040] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0041] Receive the first measurement report;

[0042] 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 measurements are 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 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, 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.

[0043] According to one aspect of this application, the above method is characterized by comprising:

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

[0045] During the measurement time, channel measurements are performed on the measurement object to obtain the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value.

[0046] According to one aspect of this application, the above method is characterized by comprising:

[0047] A cell's channel measurement is used to infer the cell's channel prediction value at the prediction time, or the cell's channel measurement is used to infer the cell's channel quality at the prediction time.

[0048] Wherein, the first signaling configures the predicted time for the cell; the cell is either the first cell or the second cell.

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

[0050] According to one aspect of this application, the above method is characterized by comprising:

[0051] Receive the second measurement report;

[0052] Wherein, any condition in the second condition set is satisfied within the first time interval; the length of the first time interval is less than the trigger time length of the first condition set.

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

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

[0055] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0056] The first receiver predicts whether any condition in the first set of conditions is met; if it predicts that any condition in the first set of conditions is met, it begins to perform channel measurements on the first cell and the second cell respectively within a first time interval.

[0057] The first transmitter sends the first measurement report;

[0058] Wherein, 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 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, 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.

[0059] This application discloses a second node used for wireless communication, characterized in that it comprises:

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

[0061] 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 measurements are 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 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, 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. Attached Figure Description

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

[0063] Figure 1 illustrates a transmission flowchart of a first node according to an embodiment of this application;

[0064] Figure 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application;

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

[0066] Figure 4 illustrates a schematic diagram of the hardware modules of a communication device according to an embodiment of this application;

[0067] Figure 5 illustrates a flowchart of wireless signal transmission between a first node and a second node according to an embodiment of this application.

[0068] Figure 6 illustrates a schematic diagram of the relationship between a first receiver according to an embodiment of the present application and inferring channel prediction values ​​or channel quality based on channel measurements.

[0069] Figure 7 illustrates the relationship between a first time interval and prediction time, channel measurement, and channel prediction according to an embodiment of this application.

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

[0071] Figure 9 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of this application;

[0072] Figure 10 illustrates an AI-based schematic diagram according to an embodiment of this application;

[0073] Figure 11 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application;

[0074] Figure 12 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application. Detailed Implementation

[0075] The technical solution of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0076] Example 1

[0077] Example 1 illustrates a transmission flowchart of a first node according to an embodiment of this application, as shown in Figure 1.

[0078] In Embodiment 1, the first node 100 predicts in step 101 whether any condition in the first set of conditions is met; if it predicts that any condition in the first set of conditions is met, it starts performing channel measurements on the first cell and the second cell respectively within a first time interval; in step 102, it sends a first measurement report; wherein, 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 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, 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.

[0079] As an example, predicting whether any condition in the first set of conditions is satisfied includes: determining whether any condition in the first set of conditions is satisfied 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 example, the channel quality of the first cell is obtained by at least one of channel measurement and channel prediction.

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

[0082] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being prediction-based, and the channel quality of the second cell being measurement-based.

[0083] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being measurement-based, and the channel quality of the second cell being prediction-based.

[0084] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being prediction-based, and the channel quality of the second cell being prediction-based.

[0085] As an example, the channel quality of a cell is based on prediction, which includes: the channel quality of a cell is obtained through channel prediction.

[0086] As an example, the channel quality of a cell is based on prediction, which includes: the channel quality of a cell is obtained through channel measurement and channel prediction.

[0087] As an example, obtaining the channel quality of a cell through channel measurement and channel prediction includes: obtaining channel measurement values ​​by measuring the channel for a cell, and inferring the channel quality of the cell by inference from at least a portion of the channel measurement values.

[0088] As an example, obtaining the channel quality of a cell through channel measurement and channel prediction includes: obtaining channel measurement values ​​by measuring the channel for a cell, obtaining channel prediction values ​​by inference from at least a portion of the channel measurement values, and obtaining the channel quality of a cell by filtering the channel measurement values ​​and the channel prediction values.

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

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

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

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

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

[0094] As an example, one implementation method of the layer 3 filtering is: Q1 = αα × Q0 + ββ × M; where 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 example, the first set of conditions includes at least one condition.

[0096] As an example, any of the conditions included in the first set of conditions is based on prediction.

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

[0098] As a sub-example of the above embodiments, 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 example, the first set of conditions includes a first condition.

[0100] As an example, 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 a 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-example of the above embodiment, the 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-example of the above embodiment, the sum of the channel quality of the second cell plus the first offset and the sum of the channel quality of the first cell plus the 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-implementation of the above embodiment, Mn1+Ofn+Ocn–Hys1>Mp1+Ofp+Ocp+Off1; wherein, Mn1 is the channel quality of the second cell excluding offset, Ofn is a specific offset configured for the measurement object of the reference signal of the second cell, Ocn is a specific offset configured for the second cell, Hys1 is a hysteresis parameter for the first condition, Mp1 is the channel quality of the first cell excluding offset, Ofp is a specific offset configured for the measurement object of the first cell, Ocp is a specific offset configured for the first cell, and Off1 is an offset parameter configured for the first condition.

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

[0105] As one example, the second threshold is configured by the network.

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

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

[0108] As an example, one of the conditions in the first set of conditions 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-implementation 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-implementation of the above embodiment, the sum of the channel quality of the second cell and the third offset is greater than the third threshold, and the sum of the channel quality of the first cell and 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 the first time interval.

[0123] As one embodiment, performing channel measurements 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 example, measuring the channel quality of a cell includes measuring at least one beam associated with the cell.

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

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

[0127] As one example, measuring the channel quality of a cell includes measuring the reference signal associated with the cell.

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

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

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

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

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

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

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

[0135] As one 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 at least partially overlap.

[0136] As one 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 example, the channel quality of a cell includes the reference signal received power (RSRP).

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

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

[0140] As one example, the length of the first time interval is configurable.

[0141] As an example, the length of the first time interval is pre-configured.

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

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

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

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

[0146] As an example, 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 example, the start time of the first time interval is the time when it is predicted that any one of the conditions in the first set of conditions will be met.

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

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

[0150] As an example, when it is predicted that any condition in the first set of conditions will be met, the first measurement report is sent.

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

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

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

[0154] As an example, the first measurement report is a Measurement Report.

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

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

[0157] As an example, 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 one embodiment, the first measurement report includes an event that triggers the first measurement report.

[0159] As an example, the first measurement report indicates that a criterion for a measurement reporting event has been met, the measurement reporting event being either an A3' event or an A5' event.

[0160] As an example, the A3' event or the A5' event indicates that the conditions for the predicted cell handover are met.

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

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

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

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

[0165] As an example, the triggering criteria for the A5' event are the same.

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

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

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

[0169] As an example, the first measurement report indicates that the conditions for handover from the first cell to the second cell based on the predicted channel quality have been met.

[0170] As an example, the first measurement report indicates that at least one of the channel quality of the first cell and the channel quality of the second cell included therein is based on prediction.

[0171] As an example, the first measurement report is triggered based on the predicted cell channel quality.

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

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

[0174] As an example, the first measurement report is triggered based on predicted cell channel quality, including the prediction that the conditions for handover from the first cell to the second cell will be met.

[0175] As an example, the conditions for switching from the first cell to the second cell are configured by the network.

[0176] As an example, the first measurement report is triggered based on predicted cell channel quality, including prediction of the A3' event.

[0177] As an example, the first measurement report is triggered based on predicted cell channel quality, including prediction of the A5' event.

[0178] As an example, channel measurement and / or channel prediction are performed on a cell according to the measurement and reporting configuration of the network for a 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 channel prediction and channel measurement in this application correspond to each other. By performing channel measurement, the measured channel quality can be obtained; by performing channel prediction, the predicted channel quality can be obtained.

[0180] As an example, channel prediction relies on channel measurements.

[0181] As one example, channel prediction includes inferring channel quality based on the results of channel measurements.

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

[0183] As one example, channel prediction is achieved through interpolation calculations.

[0184] As one example, channel prediction is achieved through extrapolation calculations.

[0185] As an example, channel prediction is achieved through an AI / ML (machine learning) model.

[0186] Example 2

[0187] Example 2 illustrates a network architecture diagram according to one embodiment of this application, as shown in Figure 2. Figure 2 illustrates a network architecture 200 of an NR 5G, LTE (Long-Term Evolution), and LTE-A (Long-Term Evolution Advanced) system. 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 term. 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 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the 5GS / EPS provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The NG-RAN includes NR Node Bs (gNBs) 203 and other gNBs 204. gNBs 203 provide user and control plane protocol termination toward the UE 201. gNBs 203 may connect to other gNBs 204 via Xn interfaces (e.g., backhaul links). The XnAP protocol of the Xn interface is used to transmit control plane messages for the wireless network, while the user plane protocol of the Xn interface is used to transmit user plane data. The gNB203 can also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, Basic Service Set (BSS), Extended Service Set (ESS), TRP (Transmission Reception Point), or some other suitable term. In NTN (Non-Terrestrial Network) networks, the gNB203 can be a satellite, an aircraft, or a ground base station relayed via satellite. The gNB203 provides the UE201 with an access point to the 5GC / EPC210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, 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 IoT devices, machine-type communication devices, land vehicles, automobiles, in-vehicle equipment, in-vehicle communication units, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. gNB203 connects 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 / SMF 214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF 213. MME / AMF / SMF 211 is the control node handling signaling between UE201 and 5GC / EPC210. ​​Generally, MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF 212, which is itself connected to P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF213 connects to Internet service 230. Internet service 230 includes carrier-compliant Internet protocol services, specifically including Internet, intranet, IMS (IP Multimedia Subsystem), and PS (Packet Switching) streaming services.

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

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

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

[0191] As an example, the gNB203 is a macrocell base station.

[0192] As an example, the gNB203 is a microcell base station.

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

[0194] As an example, the gNB203 is a femtocell.

[0195] As an example, the gNB203 is a base station device that supports large latency differences.

[0196] As one example, the gNB203 is a flight platform device.

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

[0198] As an example, the gNB203 is a base station device that supports large latency differences.

[0199] As one embodiment, the gNB203 is a test device (e.g., a transceiver device simulating part of the functions of a base station, a signaling tester).

[0200] As an example, the radio link from the UE201 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0201] As an example, the wireless link from the UE241 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0202] As an example, the radio link from the gNB203 to the UE201 is a downlink, which is used to perform downlink transmissions.

[0203] As an example, the radio link from the gNB203 to the UE241 is a downlink, which is used to perform downlink transmissions.

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

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

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

[0207] Example 3

[0208] Example 3 illustrates a schematic diagram of the wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of the wireless protocol architecture for the user plane 350 and control plane 300. Figure 3 shows the wireless protocol architecture of the control plane 300 of the UE and gNB using 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 herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the UE and gNB through PHY 301. L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the gNB on the network side. PDCP sublayer 304 provides data encryption and integrity protection, and also supports inter-gNB mobility for UEs. RLC sublayer 303 provides packet segmentation and reassembly, and implements retransmission of lost packets via ARQ (Automatic Repeat Request). RLC sublayer 303 also provides duplicate packet detection and protocol error detection. MAC sublayer 302 provides mapping between logical channels and transport channels, and multiplexing of logical channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among UEs. MAC sublayer 302 is also responsible for HARQ (Hybrid Automatic Repeat Request) operations. RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of 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 user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The wireless protocol architecture in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for physical layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355 and MAC sublayer 352 in L2 layer 355. However, 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 an SDAP (Service Data Adaptation Protocol) sublayer 356. The SDAP sublayer 356 is responsible for mapping between QoS (Quality of Service) streams and data radio bearers to support service diversity. The radio protocol architecture of the UE in the user plane 350 at the L2 layer may include some or all of the protocol sublayers of SDAP sublayer 356, PDCP sublayer 354, RLC sublayer 353, and MAC sublayer 352. Although not illustrated, the UE may also have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0209] As an example, the PDCP304 sends data to or receives data from the RLC303 via the RLC channel.

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

[0211] As an example, the RLC303 sends data to or receives data from the MAC302 via a logical channel.

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

[0213] As one embodiment, the MAC302 sends data to or receives data from the PHY301 through the transmission channel.

[0214] As one embodiment, the MAC352 sends data to or receives data from the PHY351 via the transmission channel.

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

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

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

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

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

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

[0221] As an example, the first signaling in this application is generated in the RRC306.

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

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

[0224] Example 4

[0225] Example 4 illustrates a hardware module schematic diagram of a communication device according to an embodiment of this application, as shown in Figure 4. 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 transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving 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 receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter 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, upper-layer data packets from the core network or from the data source 477 are provided to the controller / processor 475. The core network and data source 477 represent all 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 for the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for retransmitting 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). Transmit processor 416 performs encoding and interleaving to facilitate FEC (Forward Error Correction) at the second communication device 410, and mapping of signal clusters 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)). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more spatial streams. Transmit processor 416 then maps each spatial stream to subcarriers, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domains, and subsequently uses IFFT (Inverse Fast Fourier Transform) to generate a physical channel carrying the time-domain multicarrier symbol stream. Multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmitter processor 471 into an radio frequency stream, which is then provided to different antennas 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 radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses FFT (Fast Fourier Transform) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations 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 receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any spatial stream destined for the first communication device 450. Symbols on each spatial stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive 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 over 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 Layer 2. The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transport and logical channels 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 Layer 2. Various control signals may also be provided to Layer 3 for Layer 3 processing.

[0230] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, upper-layer data packets are provided to the controller / processor 459 using a data source 467. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions 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 the logical and transport channels, implementing L2 layer functions for the user plane and control plane. The controller / processor 459 is also responsible for retransmitting lost packets and signaling to the second communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

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

[0232] As one embodiment, the first communication device 450 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 with the at least one processor, and the first communication device 450 at least: predicts whether any condition in a first set of conditions is met; if it is predicted that any condition in the first set of conditions is met, begins to perform channel measurements on a first cell and a second cell respectively within a first time interval; and sends a first measurement report; wherein, 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 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, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; and the first time interval includes at least one measurement period.

[0233] As one embodiment, the first communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, generates actions including: predicting whether any condition in a first set of conditions is satisfied; if it is predicted that any condition in the first set of conditions is satisfied, initiating channel measurements for a first cell and a second cell respectively within a first time interval; and sending a first measurement report; wherein 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 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, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; and the first time interval including at least one measurement period.

[0234] As one embodiment, the second communication device 410 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 with the at least one processor. The second communication device 410 includes at least: a predicted satisfaction of any condition in the first set of conditions; receiving a first measurement report; wherein, during a first time interval, channel measurements are performed on the first cell and the second cell respectively; 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 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, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; the first time interval includes at least one measurement period.

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

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

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

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

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

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

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

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

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

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

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

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

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

[0248] As one 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 this application.

[0249] Example 5

[0250] Example 5 illustrates a flowchart of wireless signal transmission between a first node and a second node according to an embodiment of this application, as shown in Figure 5. In Figure 5, 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 or the order of implementation in this application.

[0251] For the first node N51, in step S511, a first signaling is received; in step S512, it is determined that any condition in the first condition set is predicted to be satisfied; in step S513, a first measurement report is sent; in step S514, it is determined that any condition in the second condition set is satisfied within the first time interval; and in step S515, a second measurement report is sent.

[0252] For the second node N52, a first signaling is sent in step S521; a second measurement report is received in step S522; and a first measurement report is received in step S523.

[0253] In Example 5, if it is predicted that any condition in the first set of conditions is met, channel measurements are 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 set of conditions 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, 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; a first signaling is received, the first signaling configuring a measurement object and a measurement time for a cell; wherein, during the measurement time, channel measurements are performed on the measurement object to obtain the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value; the prediction of the cell is inferred based on the channel measurement value of the cell. The channel prediction value in time, or the channel quality of the cell in the prediction time inferred from the channel measurement value of the cell; wherein, the first signaling configures the prediction time for the cell; the cell is the first cell or the second cell; the first time interval and at least one of the prediction time of the first cell or the prediction time of the second cell overlap; if any condition in the second condition set is met within the first time interval, a second measurement report is sent; wherein, the length of the first time interval is less than the trigger 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 a 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 one embodiment, the second node N52 is the sustaining base station of the serving cell of the first node N51.

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

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

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

[0258] As an example, the second node N52 is MgNB (primary gNB).

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

[0260] As one embodiment, the first node N51 and the second node N52 transmit through at least the first cell.

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

[0262] As one example, the first signaling configures the measurement object and measurement time for the first cell and the second cell, respectively.

[0263] As an example, the first signaling is higher-layer signaling.

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

[0265] As an example, the first signaling is RRCReconfiguration.

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

[0267] As an example, the first signaling includes MeasConfig IE.

[0268] As one example, the first signaling includes MeasObjectToAddModList (a list of measurement objects to be added and modified).

[0269] As one example, the first signaling includes MeasIdToAddModList (a list of measurement identifiers to be added or modified).

[0270] As one example, the first signaling instructs the first cell and configures the measurement object for the first cell.

[0271] As one example, the first signaling instructs the second cell and configures the measurement object for the second cell.

[0272] As an example, the parameters configured for the measurement object include information on intra-frequency and inter-frequency measurements of SS (Synchronization Signals) / PBCH (Physical Broadcast Channel).

[0273] As an example, the parameters configured for the measurement object include information on CSI-RS intra-frequency / inter-frequency measurements.

[0274] As one example, the parameters configured for the measurement object include measurement frequency information.

[0275] As an example, the parameters configured for the measurement object include measurement time information.

[0276] As one example, the parameters configured for the object being measured include the measurement period.

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

[0278] As an example, the first signaling includes ReportConfigNR (Report Configuration New Air Interface) IE.

[0279] As one example, the first signaling includes ReportConfigToAddModList (a list of configuration additions and modifications to be reported).

[0280] As one example, the parameters for configuring the measurement reporting include criteria for triggering the measurement reporting event.

[0281] As one example, configuring the parameters for measurement reporting includes the period at which measurement reporting is triggered.

[0282] As an example, a measurement report for a community is associated with the measurement objects of that community.

[0283] As a sub-implementation of the above embodiments, the measurement reporting of a cell includes the results obtained by performing channel measurements on the measurement objects of the cell.

[0284] As a sub-implementation of the above embodiments, the measurement reporting of a cell includes the results obtained by performing channel prediction on the measurement objects of the cell.

[0285] As an example, performing channel measurement for the measurement object during the measurement time to obtain the channel measurement value of the cell includes: obtaining at least one channel measurement value for the first cell through measurement of the measurement object for the first cell during the measurement time.

[0286] As an example, performing channel measurement for the measurement object during the measurement time to obtain the channel measurement value of the cell includes: obtaining at least one channel measurement value for the second cell through measurement of the measurement object for the second cell during the measurement time.

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

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

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

[0290] As a sub-example 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-example 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 example, obtaining the channel quality of a cell through channel measurement includes: obtaining at least one channel measurement value by channel measurement for a cell, wherein at least a portion of the at least one channel measurement value is filtered to obtain the channel quality of the cell.

[0293] As an example, determining that any one of the conditions in the first set of conditions based on the prediction is met triggers the first measurement report.

[0294] As an example, after determining that any one of the conditions in the first set of conditions based on prediction is met, the first node begins to measure the channel quality of the first cell and the second cell.

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

[0296] As an example, the first time interval is the trigger time length of the second condition set.

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

[0298] As an example, the second set of conditions includes at least one condition.

[0299] As an example, any of the conditions included in the second set of conditions is based on measurement.

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

[0301] As an example, one feature that distinguishes any condition included in the second set of conditions from any condition included in the first set of conditions is that the channel quality of the first cell and the channel quality of the second cell in any condition included in the second set of conditions 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 set of conditions is based on prediction.

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

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

[0304] As a sub-example of the above embodiment, the 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 then 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 and the second threshold are the same.

[0312] As an embodiment, the first threshold and the second threshold are different.

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

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

[0327] As a sub - embodiment of the above - mentioned embodiment, the sum of the channel quality of the measured first cell plus a seventh offset is less than the fifth threshold, and the sum of the channel quality of the measured 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 measured first cell without offset, Thresh3 is the fifth threshold, Hys2 is the hysteresis parameter for this condition, Mn2 is the channel quality of the measured 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 Thresh4 is the sixth threshold.

[0329] As an embodiment, one of the conditions 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 channel quality of the measured first cell and the channel quality of the measured second cell.

[0330] As an example, the condition in the second condition set being satisfied within the first time interval includes: the second condition set being the first candidate condition set, any condition in the first candidate condition set being satisfied, and the value of the first field being 1; wherein, the first field is reportOnLeave (report on departure).

[0331] As an example, the value of the first field is configured by the network, or it defaults to 0.

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

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

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

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

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

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

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

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

[0340] As an example, determining that any one of the conditions in the first set of conditions based on the measurement is met triggers the second measurement report.

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

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

[0343] As one 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-implementation of the above embodiments, the signaling radio bearer of the first node is switched to the second cell.

[0345] As a sub-example 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 one embodiment, sending the second measurement report in the second cell includes: sending the first measurement report on the frequency domain resources of the second cell.

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

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

[0349] As an example, the second measurement report indicates that the channel quality of the first cell and the channel quality of the second cell included therein are based on measurement.

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

[0351] As an example, the second measurement report indicates that a criterion for a measurement reporting event has been met, said measurement reporting event being either an A3 event or an A5 event.

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

[0353] As an example, the second measurement report indicates that the leaving condition for switching from the first cell to the second cell has been met.

[0354] As one 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 one embodiment, the second measurement report depending on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report relating to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

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

[0358] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report includes at least one channel quality reference value, the at least one channel quality reference value being 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 example, the predicted channel quality is the predicted channel quality prior to the transmission of the second measurement report.

[0360] As an example, the predicted channel quality reflects the channel quality prior to the transmission of the second measurement report.

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

[0362] As one embodiment, the predicted channel quality obtained through channel prediction includes cases where the predicted channel quality is not obtained through channel measurement.

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

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

[0365] As an example, the predicted channel quality obtained through channel prediction includes: the predicted channel quality is obtained through prediction using an AI model.

[0366] As an example, the predicted channel quality is obtained through channel prediction, which includes: the predicted channel quality is obtained by reasoning from at least one channel measurement in the time domain, frequency domain, and spatial domain.

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

[0368] As one example, the second measurement report and the first measurement report refer to the same measurement identifier (MeasId).

[0369] As an example, a measurement identifier indicates a measurement object and a reporting configuration.

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

[0371] As an example, the 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 example, 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 example, the channel quality of the second cell measured in the second measurement report and the channel quality of the second cell predicted in the first measurement report are for the same measurement object.

[0374] As one example, the object of measurement includes information applied to the measurement.

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

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

[0377] As a sub-example of the above embodiments, the information applied to the measurement includes SMTC (SS / PBCH block measurement timing configuration).

[0378] As a sub-example of the above embodiments, the information applied to the measurement includes a reference signal configuration.

[0379] As a sub-example of the above embodiments, the information applied to the measurement includes the measurement cell.

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

[0381] As an example, 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-example 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-implementation of the above embodiments, the second measurement report includes at least one channel quality reference value, the at least one channel quality reference value including the difference between the channel quality of the first cell measured when the second measurement report is reported and the channel quality of the first cell predicted when the first measurement report is reported; wherein, the channel quality is RSRP, or RSRQ, or SINR.

[0384] As a sub-implementation 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 measured channel quality of the first cell when the second measurement report is reported and the predicted channel quality of the first cell when the first measurement report is reported is greater than a preset value, the preset value being configurable or pre-configurable, and the channel quality being RSRP, RSRQ, or SINR.

[0385] As an example, 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-example 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-implementation of the above embodiments, the second measurement report includes at least one channel quality reference value, the at least one channel quality reference value including the difference between the channel quality of the second cell measured when the second measurement report is reported and the channel quality of the second cell predicted when the first measurement report is reported; wherein, the channel quality is RSRP, or RSRQ, or SINR.

[0388] As a sub-implementation 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 the second measurement report is reported and the channel quality of the second cell predicted when the first measurement report is reported is greater than a preset value, the preset value being configurable or pre-configurable, and the channel quality being RSRP, RSRQ, or SINR.

[0389] As one 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 being associated with the first measurement report.

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

[0391] As a sub-implementation of the above embodiments, 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-implementation of the above embodiments, the triggering of the second measurement report depends on the sending of the first measurement report.

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

[0394] As a sub-implementation 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-implementation of the above embodiments, the second measurement report 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 example, channel measurement and / or channel prediction are performed on a cell according to the measurement and reporting configuration of the network for a 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] Example 6 illustrates a schematic diagram of the relationship between a first receiver according to an embodiment of the present application and channel prediction values ​​or channel quality inferences based on channel measurements, as shown in Figure 6.

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

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

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

[0402] As a sub-implementation of the above embodiments, 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 example, the inference is performed in at least one of the time domain, frequency domain, and spatial domain.

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

[0405] As one embodiment, at least one channel prediction value is inferred from at least one channel measurement value measured on time-domain resources included in a first time length, and is then inferred from at least one channel measurement value measured on time-domain resources included in a 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-implementation of the above embodiments, the time-domain resources included in the first time length include the measurement time configured in the first signaling configuration; the time-domain resources included in the second time length include the prediction time configured in the first signaling configuration.

[0407] As one 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 one 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 each include at least one beam.

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

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

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

[0412] In Case B of Example 6, the first receiver infers the channel quality for a cell based on at least one channel measurement for a cell.

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

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

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

[0416] As an example, the first receiver in Figure 6 includes at least the first processor in Figure 9.

[0417] Example 7

[0418] Example 7 illustrates a schematic diagram of the relationship between a first time interval and prediction time, channel measurement, and channel prediction according to an embodiment of this application, as shown in Figure 7. In Figure 7, solid rectangles represent the time for performing channel measurement, and dashed rectangles represent the time for performing channel prediction.

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

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

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

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

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

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

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

[0426] As an example, the prediction time of the first cell is orthogonal to the prediction time of the second cell.

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

[0428] As one example, the prediction time of the first cell partially overlaps with the prediction time of the second cell.

[0429] As an example, the measurement time for a cell is included before time t0 in Figure 7, which is the first signaling configuration.

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

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

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

[0433] As an example, the time interval between obtaining two adjacent channel measurements, adjacent channel measurements and channel predictions, and adjacent channel predictions is the same, which constitutes one channel measurement cycle.

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

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

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

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

[0438] As an example, time t1 is the time preceding the first measurement cycle among all channel measurement cycles included in the prediction time.

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

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

[0441] As an example, the at least one channel prediction value included in the prediction time is derived from the at least one channel measurement value obtained before time t0; wherein the derivation is performed in the time domain.

[0442] As an example, the at least one channel prediction value included in the prediction time is derived from the at least one channel measurement value obtained before time t1; wherein the derivation is performed in the time domain.

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

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

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

[0446] As a sub-example 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 example, 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 for the first cell and the second cell respectively within the predicted time.

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

[0449] As an example, the additional channel measurement corresponds to the channel measurement values ​​in the lower half of Figure 7.

[0450] As an example, additional channel measurements are performed at measurement intervals corresponding to at least a portion of the channel prediction values ​​within the prediction time.

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

[0452] As a sub-implementation of the above embodiments, the above method can effectively verify whether the prediction results included in the second measurement report are accurate by triggering additional channel measurements, thereby reducing the risk of the base station making unreasonable judgments.

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

[0454] As an example, the measurement result of the additional channel measurement, if any condition of the second set of conditions is met, triggers the second measurement report.

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

[0456] As a sub-example of the above embodiments, the UE can verify the accuracy of the predicted channel quality through the above method.

[0457] As an example, the second measurement report includes the results of channel measurements performed within the first time interval.

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

[0459] As an example, the 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] Example 8 illustrates a schematic diagram of the relationship between a first time interval and a second time interval according to an embodiment of this application, as shown in Figure 8. In Figure 8, solid rectangles represent the time for performing channel measurements, and dashed rectangles represent the time for performing additional channel measurements within the channel prediction time.

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

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

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

[0465] As an example, the first condition is satisfied when the channel quality of the second cell during the second time interval is better than the channel quality of the first cell during 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 example, the second time interval is the timeToTrigger (trigger time) length defined for the predicted event.

[0467] As one example, the second time interval is the trigger time of the first measurement report.

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

[0469] As an example, the second condition is satisfied when the channel quality of the second cell during the first time interval is better than the channel quality of the first cell during 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 example, the first time interval is the timeToTrigger (trigger time) length defined for the measurement event.

[0471] As an example, the first time interval is the trigger time of the second measurement report.

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

[0473] As a sub-implementation of the above embodiments, the length of the first time interval and the length of the second time interval are equal.

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

[0475] As an example, the first time interval includes M measurement cycles, where M is a positive integer.

[0476] As one embodiment, the second time interval includes N measurement cycles, where N is a positive integer.

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

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

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

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

[0481] As an example, 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 example, the time-domain resources included in the first time interval immediately follow the time-domain resources included in the second time interval.

[0483] As an example, Figure 8 shows the number of measurement cycles included in the second time interval and the first time interval, with four measurement cycles included in the second time interval and three measurement cycles included in the first time interval.

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

[0485] As an example, the above method allows the UE to verify the accuracy of channel prediction more quickly.

[0486] As an example, the above method can send the second measurement report more quickly, indicating to the base station whether the first measurement report based on the prediction is accurate.

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

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

[0489] Example 9

[0490] Example 9 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of this application, as shown in Figure 9. Figure 9 includes a first processor, a second processor, and a third processor. In Example 9, the third processor sends a first dataset to the second processor and a second dataset to the first processor; the second processor generates a target parameter set based on the first dataset and sends the generated target parameter set to the first processor; the first processor processes the second dataset using the target parameter set to obtain a first type of output. In Figure 9, the first type of feedback is optional.

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

[0492] As one embodiment, the third processor performs measurements on at least one cell to obtain a first dataset and a second dataset; wherein the at least one cell includes the first cell and the second cell, the first dataset 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 dataset 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 example, the data included in the first dataset and the data included in the second dataset are at least partially different.

[0494] As an example, the first dataset and the second dataset are obtained by performing measurements on cells on different time-domain resources.

[0495] As an example, the first dataset and the second dataset are obtained by performing measurements on cells on different frequency domain resources.

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

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

[0498] As an example, the first dataset includes training data.

[0499] As one embodiment, the second processor is trained based on the input first dataset, and the trained model is described by the target parameter set.

[0500] As one 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 computational burden on the UE.

[0502] As one 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 example, the target parameter set is input to the first processor.

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

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

[0507] As an example, the second dataset includes inference data.

[0508] As an example, the first processor constructs a model based on the target parameter set and inputs the second dataset into the constructed model to obtain the first type of output.

[0509] As an example, different sets of target parameters can construct different models, and the corresponding first type of output will also be different.

[0510] As an example, the target parameter set includes at least one of layer 1 filtering coefficients, layer 3 filtering coefficients, cell handover judgment criteria, interpolation algorithm, filtering algorithm, and prediction algorithm.

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

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

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

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

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

[0516] As an example, the first type of output is whether the predicted cell handover conditions are met.

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

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

[0519] As an example, the first processor generates the first type of feedback from the first type of output and the error based on the measured output.

[0520] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the second processing opportunity recalculates the target parameter set.

[0521] As an example, the first processor is located in the controller / processor 475 in Figure 4.

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

[0523] As an example, the third processor is located in the controller / processor 475 in Figure 4.

[0524] Example 10

[0525] Example 10 illustrates an AI-based schematic diagram according to an embodiment of this application, as shown in Figure 10. Figure 10 includes five operations: ML training, ML testing, ML emulation, ML entity loading, and AI / ML inference. In Example 10, ML training and ML testing belong to the training phase, ML emulation belongs to the simulation phase, ML entity loading belongs to the deployment phase, and AI / ML inference belongs to the inference phase. In Figure 10, the arrowed lines indicate the sequence of processes.

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

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

[0528] As an example, the ML training depends on training data.

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

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

[0531] As an example, the ML entity verification depends on verification data.

[0532] As an example, if the ML entity verification results do not meet expectations, the ML entity will be retrained.

[0533] As one example, the ML testing includes testing the validated ML entity to estimate the performance obtained from training.

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

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

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

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

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

[0539] As an example, the ML entity loading is to obtain trained ML entities to achieve the desired ML inference functionality.

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

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

[0542] As one example, the AI / ML inference function includes a prediction function.

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

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

[0545] As one example, the AI / ML inference includes predicting that the conditions for a handover from the first cell to the second cell are met.

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

[0547] Unless otherwise specified, all reasoning in this application is performed by the AI / ML reasoning.

[0548] Example 11

[0549] Example 11 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application, as shown in Figure 11. In Figure 11, the first node processing apparatus 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 set of conditions is met; if it is predicted that any condition in the first set of conditions is met, it begins to perform channel measurements on a first cell and a second cell respectively within a first time interval; a first transmitter 1102 transmits a first measurement report; wherein, 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 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, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; the first time interval includes at least one measurement period.

[0551] As one embodiment, the first receiver 1101 receives a first signaling, which 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 the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value.

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

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

[0554] As an example, the first transmitter 1102 sends a second measurement report when any condition in the second set of conditions 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 set of conditions.

[0555] As an example, the first transmitter 1102 sends a second measurement report when any condition in the second set of conditions 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 set of conditions; and one of the conditions in the second set of conditions is that the channel quality of the measured first cell is better than the channel quality of the measured second cell by more than a first threshold.

[0556] As an example, the first transmitter 1102 sends a second measurement report when any condition in the second set of conditions 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 set of conditions; and one of the conditions in the second set of conditions is that the channel quality of the measured second cell is better than the channel quality of the measured first cell by more than a first threshold.

[0557] As one embodiment, the first receiver 1101 includes a receiver 454 (including an antenna 452) as shown in Figure 4 of this application, a receiver processor 456, a multi-antenna receiver processor 458, and a controller / processor 459.

[0558] As one embodiment, the first receiver 1101 includes at least one of the receiver 454 (including antenna 452) in Figure 4 of this application, a receiver processor 456, a multi-antenna receiver processor 458, or a controller / processor 459.

[0559] As one embodiment, the first transmitter 1102 includes the transmitter 454 (including antenna 452) shown in Figure 4 of this application, the transmission processor 468, the multi-antenna transmission processor 457, and the controller / processor 459.

[0560] As one embodiment, the first transmitter 1102 includes at least one of the transmitter 454 (including antenna 452) in Figure 4 of this application, a transmission processor 468, a multi-antenna transmission processor 457, or a controller / processor 459.

[0561] As an example, the first node 1100 further includes a first processor 1103, which includes the controller / processor 459 shown in Figure 4 of this application.

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

[0563] As one embodiment, the second processor 1104 includes the controller / processor 459 shown in Figure 4 of this application.

[0564] As one embodiment, the third processor 1105 includes the controller / processor 459 shown in Figure 4 of this application.

[0565] Example 12

[0566] Example 12 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application, as shown in Figure 12. In Figure 12, the second node processing apparatus 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 set of conditions is satisfied is predicted; if any condition in the first set of conditions is predicted to be satisfied, channel measurements are 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 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, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; the first time interval includes at least one measurement period.

[0568] As one embodiment, the second transmitter 1202 sends a first signaling message, which 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 the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value.

[0569] The first receiver and the second transmitter 1202 transmit a first signaling, which 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 the channel measurement value of the cell; the channel quality of the cell depends on the channel measurement value; the channel measurement value of the cell is used to infer the channel prediction value of the cell in the prediction time, or the channel measurement value of the cell is used to infer the channel quality of the cell in the prediction time; wherein, the first signaling configures the prediction time for the cell; the cell is either the first cell or the second cell.

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

[0571] As one embodiment, the second receiver 1201 receives a second measurement report; wherein, any condition in the second set of conditions is met within the first time interval; and the length of the first time interval is less than the trigger time length of the first set of conditions.

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

[0573] As one 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; 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 channel quality of the measured second cell is better than the channel quality of the measured first cell by more than a first threshold.

[0574] As one embodiment, the second receiver 1201 includes a receiver 418 (including an antenna 420) as shown in Figure 4 of this application, a receiver processor 470, a multi-antenna receiver processor 472, and a controller / processor 475.

[0575] As one embodiment, the second receiver 1201 includes at least one of the receiver 418 (including antenna 420) in Figure 4 of this application, a receiver processor 470, a multi-antenna receiver processor 472, or a controller / processor 475.

[0576] As one embodiment, the second transmitter 1202 includes the transmitter 418 (including antenna 420) shown in Figure 4 of this application, the transmission processor 416, the multi-antenna transmission processor 471, and the controller / processor 475.

[0577] As one embodiment, the second transmitter 1202 includes at least one of the transmitter 418 (including antenna 420) in Figure 4 of this application, a transmission processor 416, a multi-antenna transmission processor 471, or a controller / processor 475.

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

[0579] As one embodiment, the fourth processor 1203 includes the controller / processor 475 shown in Figure 4 of this application.

[0580] As an example, the fourth processor 1203 performs the functions of the second processor 1104.

[0581] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The first type of communication node or UE or terminal in this application includes, but is not limited to, mobile phones, tablets, laptops, network cards, low-power devices, eMTC (enhanced Machine Type Communication) devices, NB-IoT (Narrow Band Internet of Things) devices, vehicle communication devices, aircraft, drones, remote-controlled aircraft, and other wireless communication devices. The second type of communication node or base station or network-side equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, eNBs, gNBs, Transmission and Reception Points (TRPs), relay satellites, satellite base stations, airborne base stations, and testing equipment, such as transceivers simulating some functions of a base station, signaling testers, and other wireless communication equipment.

[0582] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A first node configured for wireless communication, the first node comprising: Comprising: a first receiver, predicting whether any condition in a 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 a first cell and a second cell respectively within a first time interval; a first transmitter, transmitting a first measurement report; wherein one condition in the first condition set is that a channel quality of the second cell is better than a channel quality of the first cell by more than a first threshold; the first measurement report comprises the channel quality of the first cell and the channel quality of the second cell, 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 comprises at least one measurement period.

2. The first node of claim 1, characterized in that, Comprising: the first receiver, receiving a first signaling, the first signaling configuring a measurement object and a measurement time for one cell; wherein performing channel measurement on the measurement object in the measurement time obtains a channel measurement value of the one cell; a channel quality of the one cell depends on the channel measurement value.

3. The first node of claim 2, wherein, Comprising: the first receiver, inferring a channel prediction value of one cell in a prediction time from a channel measurement value of the one cell, or inferring a channel quality of the one cell in the prediction time from the channel measurement value of the one 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 of any of claims 1 to 3, wherein, At least one of the first time interval and the prediction time of the first cell or the prediction time of the second cell overlaps.

5. The first node of any of claims 1 to 4, wherein, Comprising: the first transmitter, transmitting a second measurement report when any condition in a second condition set is satisfied within the first time interval; wherein a length of the first time interval is less than a length of a triggering time of the first condition set.

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

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

8. A second node configured for wireless communication, the second node comprising: Comprising: predicting whether any condition in a 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 a first cell and a second cell respectively within a first time interval; transmitting a first measurement report; wherein one condition in the first condition set is that a channel quality of the second cell is better than a channel quality of the first cell by more than a first threshold; the first measurement report comprises the channel quality of the first cell and the channel quality of the second cell, 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 comprises at least one measurement period.

9. A method for a first node used for wireless communication, the method comprising: Comprising: a second receiver, 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 predicted to be satisfied, initiating channel measurements of the first cell and the second cell to be performed in a first time interval; one condition in the first set of conditions is that a channel quality of the second cell is better than a channel quality of the first cell by more than a first threshold; the first measurement report comprises the channel quality of the first cell and the channel quality of the second cell, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; the first time interval comprises at least one measurement period.

10. A method for a second node used for wireless communication, the method comprising: comprising: 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 predicted to be satisfied, initiating channel measurements of the first cell and the second cell to be performed in a first time interval; one condition in the first set of conditions is that a channel quality of the second cell is better than a channel quality of the first cell by more than a first threshold; the first measurement report comprises the channel quality of the first cell and the channel quality of the second cell, at least one of the channel quality of the first cell and the channel quality of the second cell being based on prediction; the first time interval comprises at least one measurement period.

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