A method and apparatus for supporting mobility in wireless communications

Abstract

A method and apparatus for supporting mobility in wireless communication are disclosed. A first node receives a first signaling, the first signaling indicating that the first node is handed over from a first cell to a second cell; in response to receiving the first signaling, the first node is handed over from the first cell to the second cell; within a first time interval after the handover to the second cell, if any condition in a first set of conditions is met, the first node performs a first action; wherein the first set of conditions comprises that a channel quality of the second cell is not more than a first threshold better than a channel quality of the first cell; the first action is triggering an abnormal report, or the first action is storing an abnormal result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least a first one of channel measurement and channel prediction, respectively. The present application can effectively reduce channel measurement while improving system robustness.

Description

Technical Field

[0001] This application relates to methods and apparatuses for supporting mobility in wireless communication systems, and more particularly to methods and apparatuses for cell handover. Background Technology

[0002] 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, 3GPP (3rd Generation Partner Project) RAN...

[0003] At the 72nd plenary meeting of the Radio Access Network (RAN), it was decided to conduct research on New Radio (NR) technology (or 5G). At the 75th plenary meeting of 3GPP RAN, the WI (Work Item) for New Radio (NR) was adopted, initiating standardization work for NR. In NR Release 18, research on Artificial Intelligence (AI) / Machine Learning (ML) 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] Mobility management supports service continuity for UEs (User Equipment) during mobility and is a fundamental and important feature of cellular networks. Enhancement of cell handover has always been a research direction in wireless communication. 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 (including but not limited to cell handover). 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 can effectively utilize prediction results while reducing the impact of inaccurate predictions on system performance, thereby improving system robustness. 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 with each other. 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 handover scenarios, it is also applicable to other prediction-based scenarios, such as cell measurement prediction, handover failure prediction, and radio link failure prediction, achieving similar technical effects to those in cell handover scenarios. In addition, adopting a unified solution for different scenarios (including but not limited to cell handover, cell measurement and handover failure, and radio link failure scenarios) helps reduce hardware complexity and cost. Specifically, the explanations 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] Receive the first signaling, which instructs the first node to switch from the first cell to the second cell;

[0009] In response to receiving the first signaling, the cell is switched from the first cell to the second cell;

[0010] If any condition in the first set of conditions is met within the first time interval after switching to the second cell, the first action is executed.

[0011] Wherein, the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is to trigger an anomaly reporting, or the first action is to store an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least the former of channel measurement and channel prediction.

[0012] As an example, the above method monitors whether the cell handover is performed reasonably after the handover from the first cell to the second cell.

[0013] As an example, the above method can more accurately determine the cell channel quality by monitoring channel quality through channel measurement.

[0014] As an example, when the anomaly report is triggered and not canceled, the anomaly report content is sent when a UL-SCH (Uplink Shared Channel) resource is available for a new transmission and the UL-SCH resource can accommodate the anomaly report content.

[0015] As an example, the content of the exception report is a MAC (Medium Access Control) CE (Control Element).

[0016] As an example, the reported anomaly is an RRC (Radio Resource Control) message.

[0017] As an example, the content of the anomaly report is measurement reports.

[0018] As an example, the above method can trigger anomaly reporting in a timely manner to the serving base station of the first node, thereby improving the service quality for the first node and avoiding interference with the system.

[0019] As an example, the above method is applicable to scenarios where mobility management is performed by AI deployed in a communication system.

[0020] 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 quality.

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

[0022] Send a measurement report in the first cell before receiving the first signaling;

[0023] The measurement report is triggered based on prediction, including prediction that the conditions for handover from the first cell to the second cell are met, or prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

[0024] As an example, the above method can reduce the number of channel measurements and thus reduce UE power consumption through prediction.

[0025] As an example, the above method, based on prediction triggering the measurement report, can indicate the channel quality of the cell to the base station in advance, so that the base station can respond in a timely manner and avoid connection interruption due to cell deterioration.

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

[0027] Receive a second signaling message, which configures the measurement object and measurement time for the first cell and the second cell, respectively;

[0028] Specifically, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0029] According to one aspect of this application, the above method is characterized by:

[0030] The second signaling configures prediction time for the first cell and the second cell respectively, and infers at least one channel prediction value for the cell in the prediction time based on at least one channel measurement value for the cell, or infers the channel quality for the cell in the prediction time based on at least one channel measurement value for the cell.

[0031] The cell in question is either the first cell or the second cell.

[0032] As an example, the above method can reduce channel measurements.

[0033] As an example, the reasoning in the above method is performed in the time domain, which can predict changes in cell channel quality in advance.

[0034] This application is not limited to inference performed in the time domain. It is also applicable to inference performed in the frequency domain or the spatial domain, and it is also applicable to inference performed simultaneously in multiple domains in the time, frequency, and spatial domains.

[0035] The reasoning and prediction in this application can be used interactively.

[0036] According to one aspect of this application, the above method is characterized by:

[0037] The at least one channel measurement value and the at least one channel prediction value are subjected to layer 3 filtering to generate the channel quality of the cell;

[0038] Specifically, at least one channel prediction value for a cell in the prediction time is inferred based on at least one channel measurement value for the cell.

[0039] According to one aspect of this application, the above method is characterized by:

[0040] The handover from the first cell to the second cell includes receiving a third signaling message indicating that the handover from the first cell to the second cell was successful; the start time of the first time interval is the time when the third signaling message is received.

[0041] According to one aspect of this application, the above method is characterized by:

[0042] The first signaling is RRCReconfigurationWithSync, or the first signaling is LTM CellSwitch CommandMAC CE.

[0043] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0044] Send a first signaling instruction, which instructs the recipient of the first signaling to switch from the first cell to the second cell;

[0045] In this process, as a response to the receipt of the first signaling, the user is switched from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after the user is switched to the second cell, a first action is performed; the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

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

[0047] Receive a measurement report in the first cell before sending the first signaling;

[0048] The measurement report is triggered based on prediction, including the prediction that the conditions for handover from the first cell to the second cell are met, or the prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

[0049] According to one aspect of this application, the above method is characterized by:

[0050] Send a second signaling message, which configures the measurement object and measurement time for the first cell and the second cell, respectively;

[0051] Specifically, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0052] According to one aspect of this application, the above method is characterized by:

[0053] The second signaling configures prediction times for the first cell and the second cell respectively, and infers at least one channel prediction value for the cell in the prediction time based on at least one channel measurement value for the cell, or infers the channel quality of the cell in the prediction time based on at least one channel measurement value for the cell.

[0054] The cell in question is either the first cell or the second cell.

[0055] According to one aspect of this application, the above method is characterized by:

[0056] The at least one channel measurement value and the at least one channel prediction value are subjected to layer 3 filtering to generate the channel quality of the cell;

[0057] Specifically, at least one channel prediction value for a cell in the prediction time is inferred based on at least one channel measurement value for the cell.

[0058] According to one aspect of this application, the above method is characterized by:

[0059] A third signaling message is sent, indicating a successful handover from the first cell to the second cell; the start time of the first time interval is the time when the third signaling message is received.

[0060] According to one aspect of this application, the above method is characterized by:

[0061] The first signaling is RRCReconfigurationWithSync, or the first signaling is LTM CellSwitch CommandMAC CE.

[0062] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0063] A first receiver receives a first signaling instruction, which instructs the first node to switch from a first cell to a second cell.

[0064] The first processor, in response to receiving the first signaling, switches from the first cell to the second cell; if any condition in the first set of conditions is met within a first time interval after switching to the second cell, it executes the first action.

[0065] Wherein, the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is to trigger an anomaly reporting, or the first action is to store an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least the former of channel measurement and channel prediction.

[0066] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0067] The first transmitter sends a first signaling instruction, which instructs the receiver of the first signaling instruction to switch from the first cell to the second cell;

[0068] In this process, as a response to the receipt of the first signaling, the user is switched from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after the user is switched to the second cell, a first action is performed; the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction. Attached Figure Description

[0069] 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:

[0070] Figure 1 A transmission flowchart of a first node according to an embodiment of this application is illustrated;

[0071] Figure 2 A schematic diagram illustrating a network architecture according to an embodiment of this application is provided;

[0072] Figure 3 A schematic diagram illustrating a wireless protocol architecture for the user plane and control plane according to an embodiment of this application is provided.

[0073] Figure 4 A schematic diagram of the hardware module of a communication device according to an embodiment of this application is illustrated;

[0074] Figure 5A flowchart illustrating a wireless signal transmission process according to an embodiment of this application is provided.

[0075] Figure 6 A schematic diagram illustrating at least one channel measurement, at least one channel prediction, and channel quality according to an embodiment of this application is provided.

[0076] Figure 7 A schematic diagram illustrating the relationship between measurement time, channel measurement value, prediction time, and channel prediction value according to an embodiment of this application is provided.

[0077] Figure 8 A schematic diagram illustrating the relationship between channel measurements, channel predictions, and channel quality according to an embodiment of this application is provided.

[0078] Figure 9 A schematic diagram of an artificial intelligence processing system according to an embodiment of this application is illustrated;

[0079] Figure 10 An illustration of an artificial intelligence-based embodiment according to this application is provided;

[0080] Figure 11 A schematic diagram illustrating the relationship between a third signaling and a first time interval according to an embodiment of this application is provided.

[0081] Figure 12 A structural block diagram of a processing apparatus in a first node according to an embodiment of this application is illustrated;

[0082] Figure 13 A structural block diagram of a processing apparatus in a second node according to an embodiment of this application is illustrated. Detailed Implementation

[0083] 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.

[0084] Example 1

[0085] Example 1 illustrates a transmission flowchart of a first node according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown.

[0086] In Embodiment 1, the first node 100 receives a first signaling in step 101, the first signaling instructing the first node to switch from the first cell to the second cell; in step 102, in response to receiving the first signaling, it switches from the first cell to the second cell; in step 103, when any condition in a first set of conditions is met within a first time interval after switching to the second cell, a first action is performed; wherein, the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly reporting, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least the former of channel measurement and channel prediction.

[0087] As an example, a first signaling is received, which instructs the first node to switch from a first cell to a second cell.

[0088] As an example, the first signaling is higher-layer signaling.

[0089] As an example, the first signaling is RRC signaling.

[0090] As an example, the RRC signaling is ReconfigurationWithSync.

[0091] As an example, the first signaling is MAC sublayer signaling.

[0092] As an example, the MAC sublayer signaling is LTM (L1 / L2-triggered mobility) cell switch command MAC CE.

[0093] As one example, the first signaling indicates the second cell.

[0094] As one embodiment, the first signaling includes the identifier of the second cell.

[0095] As one embodiment, the first signaling includes a candidate target configuration, which includes the identifier of the second cell.

[0096] As an example, the first cell is the serving cell of the first node.

[0097] As an example, the first cell is a SpCell (Special Cell).

[0098] As an example, the second cell is a handover candidate cell.

[0099] As one example, the second cell is the target cell for handover.

[0100] As one example, in response to receiving the first signaling, the user switches from the first cell to the second cell.

[0101] As one embodiment, switching from the first cell to the second cell includes: disconnecting from the first cell and establishing a connection with the second cell.

[0102] As one embodiment, switching from the first cell to the second cell includes: stopping transmission on the first cell and starting transmission on the second cell.

[0103] As one example, switching from the first cell to the second cell includes performing uplink and downlink synchronization with the second cell.

[0104] As one example, switching from the first cell to the second cell includes performing a random access procedure in the second cell.

[0105] As one example, switching from the first cell to the second cell includes: sending the first uplink data on the second cell to indicate that the handover was successfully completed.

[0106] As an example, the first uplink data is RRCReconfigurationComplete.

[0107] As an example, the first uplink data belongs to the DRB (Data Radio Bearer).

[0108] As one example, switching from the first cell to the second cell includes: resetting the MAC entity.

[0109] As one example, switching from the first cell to the second cell includes: rebuilding the RLC (RadioLink Control) entity.

[0110] As one example, switching from the first cell to the second cell includes: rebuilding the PDCP (Packet Data Convergence Protocol) entity.

[0111] As one embodiment, switching from the first cell to the second cell includes: switching the SRB (Signaling Radio Bearer) and DRB of the first node to the second cell.

[0112] As an example, if any condition in the first set of conditions is met within a first time interval after switching to the second cell, the first action is performed.

[0113] As an example, the first set of conditions includes at least one condition.

[0114] As an example, the first time interval is configured by the network.

[0115] As an example, the first time interval is pre-configured.

[0116] As an example, the first time interval is fixed.

[0117] As an example, the first set of conditions includes the second cell's channel quality being no more than a first threshold better than the first cell's channel quality.

[0118] As an example, the first threshold is configured by the network.

[0119] As an example, the first threshold is pre-configured.

[0120] As an example, the condition that the channel quality of the second cell is better than the channel quality of the first cell by no more than a first threshold includes: the channel quality of the second cell is worse than the channel quality of the first cell.

[0121] As a sub-example of the above embodiments, the channel quality of the second cell is less than that of the first cell.

[0122] As an example, the channel quality of the second cell being better than the channel quality of the first cell by no more than a first threshold includes: the channel quality of the second cell being no worse than the channel quality of the first cell, and the difference between the channel quality of the second cell and the channel quality of the first cell being no greater than the first threshold.

[0123] As an example, the first threshold is 0.

[0124] As an example, the first threshold is greater than 0.

[0125] As an example, the channel quality of a cell is obtained by measuring a reference signal.

[0126] As an example, the channel quality of a cell is obtained by measuring a reference signal and combining it with predictions.

[0127] As an example, the reference signal is CSI-RS (Channel Status Information-Reference Signal).

[0128] As an example, the reference signal is a synchronization signal.

[0129] As an example, the reference signal is a secondary synchronization signal.

[0130] As an example, the reference signal is an SSB (Synchronization Signal Block).

[0131] As an example, the reference signal is the SSB (SS / PBCH block, Synchronization Signal / Physical Broadcast Channel Block).

[0132] As an example, the channel quality of a cell is the reference signal received power (RSRP).

[0133] As an example, the channel quality of a cell is the reference signal received quality (RSRQ).

[0134] As an example, the channel quality of a cell is the signal-to-noise and interference ratio (SNR).

[0135] As an example, the first set of conditions includes the second cell having a channel quality worse than a third threshold, and the first cell having a channel quality better than a fourth threshold.

[0136] As a sub-implementation of the above embodiment, the channel quality of the second cell is less than the third threshold, and the channel quality of the first cell is greater than the fourth threshold.

[0137] As an example, the third threshold and the fourth threshold are configured by the network.

[0138] As an example, the third threshold and the fourth threshold are pre-configured.

[0139] As an example, the first set of conditions includes the condition of switching from the second cell to the third cell being met; wherein the third cell is the first cell, or the third cell is a cell other than the first cell.

[0140] As one embodiment, the first set of conditions includes receiving a cell handover command to a third cell; wherein the third cell is the first cell, or the third cell is a cell other than the first cell.

[0141] As an example, the first set of conditions includes radio link failure (RLF) occurring in the second cell.

[0142] As an example, the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0143] As one embodiment, obtaining the channel quality of the first cell and the channel quality of the second cell by at least the former of channel measurement and channel prediction includes: obtaining the channel quality of the first cell and the channel quality of the second cell by channel measurement.

[0144] As a sub-implementation of the above embodiments, the above method can accurately measure the channel to avoid triggering unnecessary execution of the first action.

[0145] As an example, the channel quality of the first cell and the channel quality of the second cell are respectively a channel measurement value within the first time interval.

[0146] As an example, the channel quality of the first cell and the channel quality of the second cell are respectively values ​​obtained after filtering at least one channel measurement value within the first time interval.

[0147] As an example, obtaining the channel quality of the first cell and the channel quality of the second cell by at least one of channel measurement and channel prediction includes: obtaining at least one of the channel quality of the first cell and the channel quality of the second cell by channel measurement and channel prediction.

[0148] As one embodiment, obtaining the channel quality of the first cell and the channel quality of the second cell by at least the former of channel measurement and channel prediction includes: obtaining the channel quality of the first cell and the channel quality of the second cell by channel measurement and channel prediction, respectively.

[0149] As a sub-implementation of the above embodiments, the above method can reduce the number of channel measurements, save UE power consumption, and improve transmission efficiency.

[0150] 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 the cell after filtering the channel measurement values ​​and the channel prediction values.

[0151] 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.

[0152] As an example, the channel quality of the first cell and the channel quality of the second cell are respectively values ​​obtained after filtering at least one channel measurement value and at least one channel prediction value within the first time interval, wherein the at least one channel prediction value is obtained by reasoning based on at least a portion of the at least one channel measurement value.

[0153] As an example, the channel quality of the first cell and the channel quality of the second cell are respectively a value obtained by reasoning based on at least one channel measurement value within the first time interval.

[0154] As one embodiment, the filtering includes at least one of layer 1 filtering and layer 3 filtering.

[0155] As an example, the channel prediction depends on the channel measurement.

[0156] As one embodiment, the channel prediction includes inferring channel quality based on the results of the channel measurements.

[0157] As an example, the channel prediction is in the time domain.

[0158] As an example, the channel prediction is in the frequency domain.

[0159] As an example, the channel prediction is spatial.

[0160] As one example, the channel prediction is achieved through interpolation calculation.

[0161] As an example, the channel prediction is implemented using an AI / ML (machine learning) model.

[0162] As one embodiment, the first signaling includes the first threshold.

[0163] As one embodiment, the first signaling includes a measurement configuration for configuring measurement and reporting parameters after a handover from the first cell to the second cell.

[0164] As an example, after switching from the first cell to the second cell, a measurement configuration is received in the second cell. The measurement configuration is used to configure the measurement and reporting parameters when the second cell is the serving cell of the first node. The measurement configuration includes the first threshold.

[0165] As a sub-example of the two embodiments described above, after the first node switches from the first cell to the second cell, it performs cell measurement within the first time interval according to the measurement configuration.

[0166] As a sub-implementation of the above two embodiments, the first time interval includes a positive integer number of measurement periods, and the measurement configuration includes the measurement periods; the first node performs a channel measurement once within one measurement period.

[0167] As one example, the first action is to trigger an exception report, or the first action is to store the exception result.

[0168] As an example, the first action is to trigger an exception report.

[0169] As a sub-implementation of the above embodiments, the above method can promptly instruct the base station to optimize network performance.

[0170] As an example, the reported exception is MAC CE.

[0171] As a sub-example of the above embodiments, the MAC CE has a higher priority than user data from the logical channel.

[0172] As an example, the reported exception is an RRC message.

[0173] As an example, the first action is to store the abnormal result.

[0174] As an example, the anomaly reporting is for both the first cell and the second cell.

[0175] As an example, the abnormal result applies to both the first cell and the second cell.

[0176] As an example, the anomaly reporting is for cell handover indicated by the first signaling.

[0177] As an example, the abnormal result is for a cell handover indicated by the first signaling.

[0178] As an example, the content in the anomaly report includes the content in the anomaly result.

[0179] As an example, the content of the abnormal result includes the content of the abnormal report.

[0180] As an example, the anomaly report includes information about inaccurate handover from the first cell to the second cell.

[0181] As an example, the anomaly report includes the channel quality of the first cell and the channel quality of the second cell within the first time interval.

[0182] As an example, the content of the anomaly report includes the difference between the channel quality of the second cell and the channel quality of the first cell within the first time interval.

[0183] As an example, the content of the anomaly report includes the measurement object identifier and the report configuration identifier.

[0184] As an example, the abnormal results include inaccurate handover from the first cell to the second cell.

[0185] As an example, the abnormal results include the channel quality of the first cell and the channel quality of the second cell within the first time interval.

[0186] As an example, the abnormal result includes the difference between the channel quality of the second cell and the channel quality of the first cell within the first time interval.

[0187] As an example, the abnormal result is sent to the service base station of the first node after receiving a request from the service base station of the first node.

[0188] As an example, the abnormal result is sent to the serving base station of the first node when the first node performs the next RRC setup, RRC re-establishment, or RRC resume.

[0189] As a sub-implementation of the two embodiments described above, the above method feeds back abnormal results to the network side, which can be used for network performance optimization.

[0190] Example 2

[0191] Example 2 illustrates a network architecture diagram according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown. Figure 2This diagram illustrates the network architecture 200 of NR 5G, LTE (Long-Term Evolution), and LTE-A (Long-Term Evolution Advanced) systems. The NR 5G, LTE, or LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable term. 5GS / EPS 200 may include one or more UE (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. 5GS / EPS can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown in the figure, 5GS / EPS provides packet switching 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. NG-RAN includes NR Node B (gNB) 203 and other gNBs 204. gNB 203 provides user and control plane protocol termination toward UE 201. gNB 203 can connect to other gNBs 204 via an Xn interface (e.g., a backhaul link). The XnAP protocol of the Xn interface is used to transmit control plane messages for the radio network, and the user plane protocol of the Xn interface is used to transmit user plane data. gNB 203 may 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, gNB 203 can be a satellite, an aircraft, or a ground base station relayed via satellite. gNB203 provides UE201 with an access point to 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.

[0192] As an example, UE201 corresponds to the first node in this application.

[0193] As an example, gNB203 corresponds to the second node in this application.

[0194] As an example, the UE201 is a user equipment.

[0195] As an example, the gNB203 is a macrocell base station.

[0196] As an example, the gNB203 is a microcell base station.

[0197] As an example, the gNB203 is a pico cell base station.

[0198] As an example, the gNB203 is a femtocell.

[0199] As an example, the gNB203 is a base station device that supports large latency differences.

[0200] As one example, the gNB203 is a flight platform device.

[0201] As an example, the gNB203 is a satellite device.

[0202] As an example, the gNB203 is a base station device that supports large latency differences.

[0203] 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).

[0204] As an example, the radio link from the UE201 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0205] As an example, the radio link from the gNB203 to the UE201 is a downlink, which is used to perform downlink transmissions.

[0206] As an example, the UE201 and the gNB203 are connected via a Uu interface.

[0207] Example 3

[0208] Example 3 illustrates a schematic diagram of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in the attached diagram. Figure 3 As shown. Figure 3 This is a schematic diagram illustrating an embodiment of a wireless protocol architecture for the user plane 350 and the control plane 300. Figure 3The radio protocol architecture of the UE and gNB control plane 300 is illustrated 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. L1 layer will be referred to as PHY301 in this document. Layer 2 (L2 layer) 305 sits above PHY301 and is responsible for the link between the UE and gNB through PHY301. L2 layer 305 includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the gNB on the network side. The PDCP sublayer 304 provides data encryption and integrity protection, and also provides cross-cell mobility support for the UE between gNBs. RLC sublayer 303 provides packet segmentation and reassembly, and implements retransmission of lost packets through 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 radio protocol architecture of user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). The radio 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 packets to reduce radio transmission overhead. L2 layer 355 in user plane 350 also includes SDAP (Service Data Adaptation Protocol) sublayer 356. SDAP sublayer 356 is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity.The UE's radio protocol architecture in the user plane 350 may include some or all of the protocol sublayers of SDAP sublayer 356, PDCP sublayer 354, RLC sublayer 353, and MAC sublayer 352 at the L2 layer. 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., remote UE, server, etc.).

[0209] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the first node in this application.

[0210] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the second node in this application.

[0211] As an example, the first signaling in this application is generated in the RRC306.

[0212] As an example, the first signaling in this application is generated in MAC302 or MAC352.

[0213] As an example, the measurement report in this application is generated in the RRC306.

[0214] As an example, the second signaling in this application is generated in the RRC306.

[0215] As an example, the third signaling in this application is generated in MAC302 or MAC352.

[0216] As an example, the third signaling in this application is generated in the PHY301 or the PHY351.

[0217] As an example, the L2 layer 305 or 355 belongs to a higher layer.

[0218] As an example, the RRC sublayer 306 in the L3 layer belongs to a higher layer.

[0219] Example 4

[0220] Example 4 illustrates a hardware module schematic diagram of a communication device according to an embodiment of this application, as shown in the attached diagram. Figure 4 As shown. Figure 4 This is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in the access network.

[0221] 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.

[0222] 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.

[0223] 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 forward error correction (FEC) at the second communication device 410, and mapping of signal clusters based on various modulation schemes (e.g., Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), M-Phase Shift Keying (M-PSK), M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based 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 inverse fast Fourier transform (IFFT) 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.

[0224] 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 a Fast Fourier Transform (FFT) 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.

[0225] 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.

[0226] 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.

[0227] 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: receives a first signaling, the first signaling instructing the first node to hand over from a first cell to a second cell; in response to receiving the first signaling, hands over from the first cell to the second cell; and, within a first time interval after handover to the second cell, performs a first action if any condition in a first set of conditions is met; wherein the first set of conditions includes that the channel quality of the second cell is no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly reporting, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least the former of channel measurement and channel prediction.

[0228] 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 an action, the action including: receiving a first signaling instructing the first node to handover from a first cell to a second cell; handover from the first cell to the second cell in response to receiving the first signaling; and performing a first action if any condition in a first set of conditions is met within a first time interval after handover to the second cell; wherein the first set of conditions includes that the channel quality of the second cell is no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly reporting or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0229] 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 at least: transmits a first signaling, the first signaling instructing a receiver of the first signaling to handover from a first cell to a second cell; wherein, in response to the receipt of the first signaling, the handover from the first cell to the second cell occurs; a first action is performed when any condition in a first set of conditions is met within a first time interval after the handover to the second cell; the first set of conditions includes that the channel quality of the second cell is no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0230] 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 at least: transmits a first signaling, the first signaling instructing a receiver of the first signaling to handover from a first cell to a second cell; wherein, in response to the receipt of the first signaling, the handover from the first cell to the second cell occurs; a first action is performed when any condition in a first set of conditions is met within a first time interval after the handover to the second cell; the first set of conditions includes that the channel quality of the second cell is no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0231] As an example, the first communication device 450 corresponds to the first node in this application.

[0232] As an example, the second communication device 410 corresponds to the second node in this application.

[0233] As an example, the first communication device 450 is a UE.

[0234] As an example, the first communication device 450 is a Layer 3 relay node.

[0235] As one embodiment, the second communication device 410 is a base station.

[0236] As one embodiment, the second communication device 410 is a base station distribution unit.

[0237] As one embodiment, the second communication device 410 is a piece of code in the distribution unit of a base station.

[0238] 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.

[0239] 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.

[0240] 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 measurement report in this application.

[0241] 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 measurement report in this application.

[0242] 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 second signaling in this application.

[0243] 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 second signaling in this application.

[0244] 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 third signaling in this application.

[0245] 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 third signaling in this application.

[0246] Example 5

[0247] Example 5 illustrates a wireless signal transmission flowchart according to an embodiment of this application, as shown in the attached diagram. Figure 5 As shown. In the appendix Figure 5 In this example, the first node N51 and the second node N52 communicate via a wireless interface. It should be noted that the order in this example does not limit the signal transmission order or the order of implementation in this application.

[0248] for First node N51 In step S511, the second signaling is received; in step S512, a measurement report is sent; in step S513, the first signaling is received; and in step S514, the cell is switched from the first cell to the second cell.

[0249] for Second node N52 In step S521, a second signaling is sent; in step S522, a measurement report is received; and in step S523, a first signaling is sent.

[0250] In Embodiment 5, a first signaling is received, instructing the first node to switch from a first cell to a second cell; in response to receiving the first signaling, the node switches from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after switching to the second cell, a first action is executed; wherein, the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report, or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained through at least the former of channel measurement and channel prediction; upon receiving the signaling... Prior to the first signaling, a measurement report is sent in the first cell; wherein the triggering of the measurement report is prediction-based, including prediction that the conditions for handover from the first cell to the second cell are met, or prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold; a second signaling is received, wherein the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0251] As one embodiment, the second node N52 is the sustaining base station of the serving cell of the first node N51.

[0252] As one embodiment, the second node N52 is the Transmit / Receive Point (TRP) of the serving cell of the first node N51.

[0253] As one embodiment, the second node N52 is the sustaining base station of the master cell group (MCG) of the first node N51.

[0254] As one embodiment, the second node N52 is the sustaining base station of the secondary cell group (SCG) of the first node N51.

[0255] As an example, the second node N52 is MgNB (primary gNB).

[0256] As an example, the second node N52 is SgNB (auxiliary gNB).

[0257] As one embodiment, the first node N51 and the second node N52 transmit through at least the first cell.

[0258] As an example, the first node N51 is a UE.

[0259] As one example, the second node N52 is the serving base station of the first node N51 before it performs cell handover.

[0260] As an example, a second signaling is received, which configures the measurement object and measurement time for the first cell and the second cell, respectively.

[0261] As an example, the second signaling is sent via an SRB, which is SRB1, SRB2, or SRB3.

[0262] As an example, the second signaling is higher-level signaling.

[0263] As an example, the second signaling is RRC signaling.

[0264] As an example, the second signaling is at least one IE (Information Element) included in the RRC signaling.

[0265] As one example, the second signaling includes MeasConfig IE.

[0266] As one embodiment, the second signaling includes MeasObjectToAddModList (a list of measurement objects to be added and modified).

[0267] As one example, the second signaling includes MeasIdToAddModList (Measuring Identifier Add / Modify List).

[0268] As one embodiment, the second signaling instructs the first cell and configures the measurement objects to be measured by the first cell.

[0269] As one embodiment, the second signaling instructs the second cell and configures the measurement objects to be measured by the second cell.

[0270] 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).

[0271] As an example, the parameters configured for the measurement object include information on CSI-RS intra-frequency / inter-frequency measurements.

[0272] As one example, the parameters configured for the measurement object include measurement frequency information.

[0273] As an example, the parameters configured for the measurement object include measurement time information.

[0274] As one example, the second signaling configures measurement reporting for the first cell and the second cell, respectively.

[0275] As one example, the second signaling includes ReportConfigToAddModList (report configuration addition and modification list).

[0276] As one example, the parameters for configuring the measurement reporting include criteria for triggering the measurement reporting event.

[0277] As one example, configuring the parameters for measurement reporting includes the period at which measurement reporting is triggered.

[0278] As an example, a measurement report for a community is associated with the measurement objects of that community, meaning that a measurement report for a community includes the results of measurements performed on the measurement objects of that community.

[0279] As an example, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time.

[0280] As an example, at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0281] As one example, the measurement time includes a positive integer number of measurement cycles.

[0282] As one example, the measurement time includes discontinuous measurement time intervals.

[0283] As an example, a channel measurement is the reference signal received power (RSRP).

[0284] As an example, a channel measurement is the reference signal received quality (RSRQ).

[0285] As an example, a channel measurement is the signal-to-noise and interference ratio (SNR).

[0286] As one embodiment, a measurement report is sent in the first cell after receiving the second signaling and before receiving the first signaling.

[0287] As an example, the measurement report is triggered by an A3 event.

[0288] As an example, the measurement report is triggered by an A5 event.

[0289] As an example, the measurement report is a periodic measurement report.

[0290] As an example, the measurement report indicates that a criterion for a measurement reporting event has been met, the measurement reporting event being either A3 or A5.

[0291] As an example, the measurement report indicates that the conditions for switching from the first cell to the second cell have been met.

[0292] As an example, the measurement report includes a field indicating that the content of the measurement report is based on prediction.

[0293] As an example, the measurement report includes a field indicating that the measurement report is triggered based on a prediction.

[0294] As an example, the triggering of the measurement report is based on prediction.

[0295] As one example, the triggering of the measurement report based on prediction includes: the measurement report is triggered by a predicted result that has not yet occurred in the time domain.

[0296] 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.

[0297] As an example, the triggering of the measurement report is based on prediction, including the prediction results in the content of the measurement report.

[0298] As an example, the prediction is based on at least a portion of the channel measurements included in the at least one channel measurement for the first cell.

[0299] As a sub-example of the above embodiment, prediction is made based on at least a portion of the channel measurements included in the at least one channel measurement for the first cell.

[0300] As an example, the prediction is based on at least a portion of the channel measurements included in the at least one channel measurement for the second cell.

[0301] As a sub-example of the above embodiment, prediction is made based on at least a portion of the channel measurements included in the at least one channel measurement for the second cell.

[0302] As an example, the measurement report is triggered based on prediction, including the prediction that the conditions for handover from the first cell to the second cell will be met.

[0303] As an example, the conditions for switching from the first cell to the second cell are configured by the network.

[0304] As an example, the triggering of the measurement report is based on prediction, including prediction of A3 events.

[0305] As an example, the triggering of the measurement report is based on prediction, including prediction of A5 events.

[0306] As an example, the A3 event is configured by the network.

[0307] As an example, the A5 event is configured by the network.

[0308] As an example, the measurement report is triggered based on prediction, including the prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

[0309] As an example, the prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold includes: obtaining at least one of the channel quality of the first cell and the channel quality of the second cell based on channel prediction.

[0310] As an example, the channel quality of the first cell is obtained at least based on channel prediction.

[0311] As an example, the channel quality of the second cell is obtained at least based on channel prediction.

[0312] As one embodiment, the channel quality of the first cell is obtained at least based on channel prediction, and the channel quality of the second cell is obtained at least based on channel prediction.

[0313] As an example, obtaining the channel quality of a cell based at least on the channel prediction value includes: obtaining the channel quality of a cell based solely on the channel prediction.

[0314] As an example, obtaining the channel quality of a cell based at least on the channel prediction value includes: obtaining the channel quality of a cell based on both channel measurement and channel prediction.

[0315] As one example, the second threshold is configured by the network.

[0316] As an example, the second threshold is pre-configured.

[0317] As an example, the second threshold is the same as the first threshold.

[0318] As a sub-implementation of the above embodiments, the above method can simplify network configuration.

[0319] As an example, the second threshold is different from the first threshold.

[0320] As an example, the second threshold is not greater than the first threshold.

[0321] As an example, the triggering of the measurement report is based on prediction, including a prediction that the channel quality of the second cell is better than a fifth threshold, and that the channel indication of the first cell is worse than a sixth threshold.

[0322] As an example, the fifth threshold and the sixth threshold are configured by the network.

[0323] As an example, the fifth threshold and the sixth threshold are pre-configured.

[0324] As an example, the measurement report assists the second node N52 in determining whether to issue the first signaling.

[0325] As an example, the transmission of the first signaling depends on the measurement report.

[0326] As an example, the transmission of the first signaling is related to the measurement report.

[0327] As one example, the first signaling is a response to the measurement report.

[0328] As an example, when the first signaling is received, the user switches from the first cell to the second cell according to the first signaling.

[0329] As an example, before the first node switches from the first cell to the second cell, the first node sends the measurement report based on the predicted channel quality; after the first node switches from the first cell to the second cell, the first node sends the anomaly report based at least on the results of the channel measurement.

[0330] The above method can save the burden of channel measurement by channel prediction before cell handover, and can verify the accuracy of the channel prediction results by adding limited channel measurement after cell handover, and further optimize system performance through feedback.

[0331] Example 6

[0332] Example 6 illustrates a schematic diagram of at least one channel measurement, at least one channel prediction, and channel quality according to an embodiment of this application, as shown in the attached diagram. Figure 6 As shown. (Attached) Figure 6 In this process, the second processor is located at the first node.

[0333] As one embodiment, the second processor infers at least one channel prediction value for the cell based on the input at least one channel measurement value for the cell.

[0334] As an example, the inference is performed in at least one of the time domain, frequency domain, and spatial domain.

[0335] 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.

[0336] 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.

[0337] 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.

[0338] 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.

[0339] As one embodiment, the second processor infers the channel quality of the cell based on at least one channel measurement value for the cell.

[0340] In Case A of Example 6, the second processor infers at least one channel prediction value for the cell based on at least one channel measurement value for the cell.

[0341] In Case B of Example 6, the second processor infers the channel quality for a cell based on at least one channel measurement for a cell.

[0342] It should be noted that the channel prediction / channel prediction value in this application corresponds to the channel measurement / channel measurement value. A channel prediction value is a value obtained by channel prediction when no channel measurement is performed during a configured measurement time.

[0343] Unless otherwise stated, the method for obtaining channel quality in this application is applicable both before and after the first node switches from the first cell to the second cell.

[0344] Example 7

[0345] Example 7 illustrates a schematic diagram illustrating the relationship between measurement time, channel measurement value, prediction time, and channel prediction value according to an embodiment of this application, as shown in the attached diagram. Figure 7 As shown. In the appendix Figure 7 In the diagram, solid rectangles represent channel measurements, and dashed rectangles represent channel predictions.

[0346] As an example, when the prediction is performed in the time domain, the second processor predicts at least one future channel prediction value based on at least one of existing channel measurements and channel prediction values.

[0347] 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.

[0348] 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.

[0349] 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.

[0350] As a sub-example of the above embodiment, at least one channel prediction value in 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.

[0351] As one example, the measurement time and the prediction time are orthogonal.

[0352] As one embodiment, the measurement time includes discontinuous measurement time intervals, the prediction time includes discontinuous prediction time intervals, and the measurement time intervals and the prediction time intervals alternate.

[0353] As one embodiment, the measurement time and the prediction time partially overlap, and the first node simultaneously performs channel measurement and channel prediction for the overlapping time.

[0354] Appendix Figure 7 It shows that two channel measurements are included in one measurement time interval; and three channel predictions are included in one prediction time interval.

[0355] 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 is one measurement cycle.

[0356] Example 8

[0357] Example 8 illustrates a schematic diagram showing the relationship between channel measurements, channel predictions, and channel quality according to an embodiment of this application, as shown in the attached diagram. Figure 8 As shown.

[0358] As one embodiment, the second processor can directly infer the channel quality of a cell based on at least one channel measurement for a cell.

[0359] As one embodiment, the second processor infers at least one channel prediction value for the cell based on at least one channel measurement value for the cell; the first processor performs layer 3 filtering based on the at least one channel measurement value and the at least one channel prediction value to generate the channel quality of the cell.

[0360] As an example, the layer 3 filtering parameters are configured by the network.

[0361] As an example, the layer 3 filtering is standardized.

[0362] As an example, the layer 3 filtering is implemented by the UE.

[0363] As an example, the layer 3 filtering is implemented using a sliding window.

[0364] As an example, one implementation method of the layer 3 filter is: Q1 = α × Q0 + β × M; where α and β are values ​​greater than 0 and satisfy α + β = 1; Q1 is the channel quality at the current moment, Q0 is the channel quality at the previous moment, and M is the current measurement value or the current channel prediction value.

[0365] Example 9

[0366] Example 9 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of this application, as shown in the attached diagram. Figure 9 As shown. (Attached) Figure 9 This includes a second processor, a third processor, and a fourth processor. In Embodiment 9, the fourth processor sends a first dataset to the third processor and a second dataset to the second processor; the third processor generates a target parameter set based on the first dataset, and sends the generated target parameter set to the second processor; the second processor processes the second dataset using the target parameter set to obtain a first type of output. (See Appendix...) Figure 9 In this context, the first type of feedback is optional.

[0367] As an example, the artificial intelligence (AI) includes machine learning (ML).

[0368] As one embodiment, the fourth 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 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 at least one channel measurement value for the second cell.

[0369] As an example, the data included in the first dataset and the data included in the second dataset are at least partially different.

[0370] As an example, the first dataset and the second dataset were obtained by performing measurements on the cell at different times.

[0371] As an example, the first dataset and the second dataset are obtained by performing measurements on cells on different frequency domain resources.

[0372] As one embodiment, the third processor includes an AI / ML training producer.

[0373] As one embodiment, the third processor includes an AI / ML training function.

[0374] As an example, the first dataset includes training data.

[0375] As an example, the third processor is trained based on the input first dataset, and the trained model is described by the target parameter set.

[0376] As one embodiment, the fourth processor is located at the first node, and the third processor is located at the second node.

[0377] The above embodiments can reduce the computational burden on the UE.

[0378] As one embodiment, the fourth processor is located at the first node, and the third processor is located at the first node.

[0379] The above embodiments can reduce signaling overhead and optimize the training system.

[0380] As an example, the target parameter set is input to the second processor.

[0381] As one embodiment, the second processor includes an AI / ML inference producer.

[0382] As one embodiment, the second processor includes an AI / ML inference function.

[0383] As an example, the second dataset includes inference data.

[0384] As an example, the second 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.

[0385] As an example, different sets of target parameters can construct different models, and the corresponding first type of output will also be different.

[0386] 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.

[0387] 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.

[0388] As an example, the first type of output is based on prediction.

[0389] As an example, the first type of output is a channel prediction value.

[0390] As an example, the first type of output is channel quality.

[0391] As an example, the first type of output is a cell handover event.

[0392] As an example, the first type of output is whether the cell handover conditions are met.

[0393] As one embodiment, the second processor is located at the first node.

[0394] As a sub-example of the above embodiment, when the third processor is located at the second node, the target parameter set is sent to the first node via the air interface.

[0395] As one embodiment, the second processor generates the first type of feedback from the first type of output and the error based on the measured output.

[0396] 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 third processing opportunity recalculates the target parameter set.

[0397] Example 10

[0398] Example 10 illustrates an artificial intelligence-based schematic diagram according to an embodiment of this application, as shown in the attached diagram. Figure 10 As shown. (Attached) Figure 10 It 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 simulation belongs to the simulation phase, ML entity loading belongs to the deployment phase, and AI / ML inference belongs to the inference phase. (See Appendix...) Figure 10 In the diagram, the lines with arrows indicate the sequence of processes.

[0399] As one example, the ML training, ML testing, and ML simulation are performed on the third processor; the AI / ML inference is performed on the second processor.

[0400] As one example, the ML training includes initial training and re-training of one or a group of ML entities.

[0401] As an example, the ML training depends on training data.

[0402] As an example, the ML training includes ML entity validation.

[0403] As an example, the ML entity verification is used to evaluate the performance of the ML entity.

[0404] As an example, the ML entity verification depends on verification data.

[0405] As an example, if the ML entity verification results do not meet expectations, the ML entity will be retrained.

[0406] As one example, the ML testing includes testing the validated ML entity to estimate the performance obtained from training.

[0407] 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.

[0408] As an example, the ML test relies on test data.

[0409] As an example, the ML simulation performs inference of ML entities in a simulation environment.

[0410] As an example, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using ML entities.

[0411] As an example, the simulation phase is optional.

[0412] As an example, the ML entity loading is to obtain trained ML entities to achieve the desired ML inference functionality.

[0413] As an example, the deployment phase is optional.

[0414] As an example, this deployment is no longer needed when the training and inference functions are co-located.

[0415] As one example, the AI / ML inference function includes a prediction function.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] 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 second threshold before sending the measurement report.

[0420] As an example, the AI / ML inference includes predicting, after the first node switches from the first cell to the second cell, that the channel quality of the second cell is no better than the channel quality of the first cell by no more than a first threshold.

[0421] Unless otherwise specified, all reasoning in this application is performed by the AI / ML reasoning.

[0422] Example 11

[0423] Example 11 illustrates a schematic diagram of the relationship between the third signaling and the first time interval according to an embodiment of this application, as shown in the attached diagram. Figure 11 As shown.

[0424] As one embodiment, the handover from the first cell to the second cell includes receiving a third signaling message indicating that the handover from the first cell to the second cell was successful.

[0425] As one example, the third signaling is received from the second cell.

[0426] As an example, after receiving the first signaling, the first node initiates a random access procedure in the second cell, and the third signaling is Msg4 (message 4) in the random access procedure.

[0427] As a sub-implementation of the above embodiment, the third signaling is PDCCH (Physical Downlink Control Channel), which is addressed to C-RNTI (Cell-Radio Network Temporary Identifier).

[0428] As a sub-implementation of the above embodiments, the third signaling is a PDCCH, which is addressed to C-RNTI, and at least one of the PDCCH is used for an uplink grant (UL grant) for a new transmission.

[0429] As a sub-implementation of the above embodiment, the third signaling is PDCCH, which is addressed to TC (Temporary Cell)-RNTI, and the MAC PDU (Protocol Data Unit) scheduled by the PDCCH is successfully decoded, and the MAC PDU indicates that the contention resolution was successful.

[0430] As an example, after receiving the first signaling, the first node performs the first PUSCH (Physical Uplink Shared Channel) transmission in the second cell, and the third signaling is the PDCCH received after the first PUSCH transmission.

[0431] As a sub-example of the above embodiments, the PDCCH is for the C-RNTI of MAC entities.

[0432] As a sub-example of the above embodiment, the PDCCH indicates a downlink assignment, which is used for a new transmission.

[0433] As a sub-implementation of the above embodiment, the PDCCH indicates an uplink grant, which is used for new transmissions on the same HARQ (Hybrid Automatic Repeat Request) process as the first PUSCH transmission.

[0434] As an example, the start time of the first time interval is the time when the third signaling is received.

[0435] As an example, the time of receiving the third signaling is the end time of the time domain resources occupied by the third signaling.

[0436] As an example, the time of receiving the third signaling is the end time of the last symbol occupied by the third signaling.

[0437] As an example, the symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0438] As an example, the symbol is a multi-carrier symbol.

[0439] As an example, the time of receiving the third signaling is the end time of the slot in which the symbol occupied by the third signaling is located.

[0440] Example 12

[0441] Example 12 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application, as shown in the attached diagram. Figure 12 As shown. In the appendix Figure 12 In this configuration, the first node processing device 1200 includes a first receiver 1201, a first processor 1202, and a second processor 1203. The first node 1200 is a UE (User Equipment).

[0442] In embodiment 12, a first receiver 1201 receives a first signaling instruction, which instructs the first node to switch from a first cell to a second cell; a first processor 1202, in response to receiving the first signaling instruction, switches from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after switching to the second cell, a first action is performed; wherein, the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0443] As an example, the first processor 1202 sends a measurement report in the first cell before receiving the first signaling; wherein the triggering of the measurement report is based on prediction, including prediction that the conditions for handover from the first cell to the second cell are met, or prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

[0444] As one embodiment, the first receiver 1201 receives a second signaling, the second signaling configuring a measurement object and a measurement time for the first cell and the second cell respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0445] As one embodiment, the first receiver 1201 receives a second signaling, which configures a measurement object and a measurement time for the first cell and the second cell, respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time; the second signaling configures a prediction time for the first cell and the second cell, and infers at least one channel prediction value for the cell during the prediction time based on at least one channel measurement value for the cell, or infers the channel quality for the cell during the prediction time based on at least one channel measurement value for the cell; wherein, the cell is either the first cell or the second cell.

[0446] As one embodiment, the first receiver 1201 receives second signaling, which configures a measurement object and a measurement time for the first cell and the second cell, respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time; the second signaling configures a prediction time for the first cell and the second cell, and infers at least one channel prediction value for the cell during the prediction time based on at least one channel measurement value for the cell, or infers the channel quality for the cell during the prediction time based on at least one channel measurement value for the cell; wherein, the cell is either the first cell or the second cell; the first processor 1202 performs layer 3 filtering on the at least one channel measurement value and the at least one channel prediction value to generate the channel quality of the cell; wherein, at least one channel prediction value for the cell during the prediction time is inferred based on the at least one channel measurement value for the cell.

[0447] As one embodiment, the handover from the first cell to the second cell includes receiving a third signaling, the third signaling indicating a successful handover from the first cell to the second cell; the start time of the first time interval is the time when the third signaling is received.

[0448] As an example, the first signaling is RRCReconfigurationWithSync, or the first signaling is LTM Cell Switch CommandMAC CE.

[0449] As one embodiment, the first receiver 1201 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), receiver processor 456, multi-antenna receiver processor 458, and controller / processor 459 are included.

[0450] As one embodiment, the first receiver 1201 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), the receiver processor 456, the multi-antenna receiver processor 458, or the controller / processor 459 are at least one of them.

[0451] As one embodiment, the first processor 1202 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), receiver processor 456, multi-antenna receiver processor 458, and controller / processor 459 are included.

[0452] As one embodiment, the first processor 1202 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), the receiver processor 456, the multi-antenna receiver processor 458, or the controller / processor 459 are at least one of them.

[0453] As one embodiment, the first processor 1202 includes the appendix to this application. Figure 4 The transmitter 454 (including antenna 452), the transmitter processor 468, the multi-antenna transmitter processor 457, and the controller / processor 459 are included.

[0454] As one embodiment, the first processor 1202 includes the appendix to this application. Figure 4 The transmitter 454 (including antenna 452), the transmitter processor 468, the multi-antenna transmitter processor 457, or the controller / processor 459 are at least one of them.

[0455] As an example, the first node 1200 further includes a third processor 1204 and a fourth processor 1205, wherein the third processor 1204 is optional.

[0456] As one embodiment, the third processor 1204 includes the appendix to this application. Figure 4 The controller / processor in the 459.

[0457] As one embodiment, the fourth processor 1205 includes the appendix to this application. Figure 4 The controller / processor in the 459.

[0458] Example 13

[0459] Example 13 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application, as shown in the attached diagram. Figure 13 As shown. In the appendix Figure 13 In this system, the second node processing device 1300 includes a second receiver 1301 and a first transmitter 1302. The second node 1300 is a base station.

[0460] In embodiment 13, a first transmitter 1302 transmits a first signaling instruction, the first signaling instruction instructing the receiver of the first signaling to switch from a first cell to a second cell; wherein, in response to the receipt of the first signaling, the switch is performed from the first cell to the second cell; a first action is performed when any condition in a first set of conditions is met within a first time interval after the switch to the second cell; the first set of conditions includes that the channel quality of the second cell is no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly reporting, or the first action is storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

[0461] As an example, the second receiver 1301 receives a measurement report in the first cell before sending the first signaling; wherein the triggering of the measurement report is based on prediction, including the prediction that the conditions for handover from the first cell to the second cell are met, or the prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

[0462] As one embodiment, the first transmitter 1302 sends a second signaling, which configures a measurement object and a measurement time for the first cell and the second cell, respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

[0463] As one embodiment, the first transmitter 1302 transmits a second signaling, which configures a measurement object and a measurement time for the first cell and the second cell, respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time; the second signaling configures a prediction time for the first cell and the second cell, and at least one channel prediction value for the cell during the prediction time is inferred based on at least one channel measurement value for the cell, or the channel quality for the cell during the prediction time is inferred based on at least one channel measurement value for the cell; wherein, the cell is either the first cell or the second cell.

[0464] As one embodiment, the first transmitter 1302 transmits a second signaling, which configures a measurement object and a measurement time for the first cell and the second cell, respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time; the second signaling configures a prediction time for the first cell and the second cell, and at least one channel prediction value for the cell during the prediction time is inferred based on at least one channel measurement value for the cell, or the channel quality for the cell during the prediction time is inferred based on at least one channel measurement value for the cell; wherein, the cell is either the first cell or the second cell; the at least one channel measurement value and the at least one channel prediction value are subjected to layer 3 filtering to generate the channel quality of the cell; wherein, the at least one channel prediction value for the cell during the prediction time is inferred based on the at least one channel measurement value for the cell.

[0465] As an example, the first transmitter 1302 sends a third signaling message indicating a successful handover from the first cell to the second cell; the start time of the first time interval is the time when the third signaling message is received.

[0466] As an example, the first signaling is RRCReconfigurationWithSync, or the first signaling is LTM Cell Switch CommandMAC CE.

[0467] As one embodiment, the second receiver 1301 includes the appendix to this application. Figure 4 The receiver 418 (including antenna 420), receiver processor 470, multi-antenna receiver processor 472, and controller / processor 475 are included.

[0468] As one embodiment, the second receiver 1301 includes the appendix to this application. Figure 4 The receiver 418 (including antenna 420), receiver processor 470, multi-antenna receiver processor 472, or controller / processor 475 are at least one of them.

[0469] As one embodiment, the first transmitter 1302 includes the appendix to this application. Figure 4 The transmitter 418 (including antenna 420), the transmitter processor 416, the multi-antenna transmitter processor 471, and the controller / processor 475 are included.

[0470] As one embodiment, the first transmitter 1302 includes the appendix to this application. Figure 4 The transmitter 418 (including antenna 420), the transmitter processor 416, the multi-antenna transmitter processor 471, or the controller / processor 475 are at least one of them.

[0471] As an example, the second node 1300 further includes a fifth processor 1303, which is optional.

[0472] As one embodiment, the fifth processor 1303 includes the appendix to this application. Figure 4 The controller / processor in the 475.

[0473] As an example, the fifth processor 1303 performs the functions of the third processor 1204.

[0474] 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 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.

[0475] 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 used for wireless communication, characterized in that, include: A first receiver receives a first signaling instruction, which instructs the first node to switch from a first cell to a second cell. The first processor, in response to receiving the first signaling, switches from the first cell to the second cell; if any condition in the first set of conditions is met within a first time interval after switching to the second cell, it executes the first action. The first set of conditions includes the fact that the channel quality of the second cell is no better than the channel quality of the first cell by no more than a first threshold. The first action is to trigger an anomaly reporting, or the first action is to store the anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

2. The first node according to claim 1, characterized in that, include: The first processor sends a measurement report in the first cell before receiving the first signaling; The measurement report is triggered based on prediction, including prediction that the conditions for handover from the first cell to the second cell are met, or prediction that the channel quality of the second cell is better than the channel quality of the first cell by more than a second threshold.

3. The first node according to claim 1 or 2, characterized in that, include: The first receiver receives a second signaling, which configures the measurement object and measurement time for the first cell and the second cell, respectively. Specifically, at least one channel measurement value for the first cell is obtained by measuring the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object for the second cell during the measurement time.

4. The first node according to claim 3, characterized in that, The second signaling configures prediction time for the first cell and the second cell respectively, and infers at least one channel prediction value for the cell in the prediction time based on at least one channel measurement value for the cell, or infers the channel quality for the cell in the prediction time based on at least one channel measurement value for the cell. The cell in question is either the first cell or the second cell.

5. The first node according to claim 4, characterized in that, include: The first processor performs layer 3 filtering on the at least one channel measurement value and the at least one channel prediction value to generate the channel quality of the cell; In the prediction time, the at least one channel prediction value for the cell is inferred based on the at least one channel measurement value for the cell.

6. The first node according to any one of claims 1 to 5, characterized in that, The handover from the first cell to the second cell includes receiving a third signaling message indicating that the handover from the first cell to the second cell was successful; the start time of the first time interval is the time when the third signaling message is received.

7. The first node according to any one of claims 1 to 6, characterized in that, The first signaling is RRCReconfigurationWithSync, or the first signaling is LTM Cell Switch Command MAC CE.

8. A second node used for wireless communication, characterized in that, include: The first transmitter sends a first signaling instruction, which instructs the receiver of the first signaling instruction to switch from the first cell to the second cell; In this process, as a response to the receipt of the first signaling, the user is switched from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after the user is switched to the second cell, a first action is performed; the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

9. A method used in a first node of wireless communication, characterized in that, include: Receive the first signaling, which instructs the first node to switch from the first cell to the second cell; In response to receiving the first signaling, the cell is switched from the first cell to the second cell; The first action is executed when any condition in the first condition set is met within the first time interval after handover to the second cell; The first set of conditions includes the fact that the channel quality of the second cell is no better than the channel quality of the first cell by no more than a first threshold. The first action is to trigger an anomaly reporting, or the first action is to store the anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

10. A method used in a second node for wireless communication, characterized in that, include: Send a first signaling instruction, which instructs the recipient of the first signaling to switch from the first cell to the second cell; In this process, as a response to the receipt of the first signaling, the user is switched from the first cell to the second cell; when any condition in a first set of conditions is met within a first time interval after the user is switched to the second cell, a first action is performed; the first set of conditions includes the channel quality of the second cell being no more than a first threshold better than the channel quality of the first cell; the first action is either triggering an anomaly report or storing an anomaly result; the channel quality of the first cell and the channel quality of the second cell are obtained by at least one of channel measurement and channel prediction.

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