Measurement reporting method and apparatus used in wireless communication

Abstract

The present application discloses a measurement reporting method and apparatus used in wireless communication. The method comprises: a first node measuring the channel quality of a first cell and the channel quality of a second cell; and when any condition in a first condition set is satisfied, sending a first measurement report in the first cell, wherein the first condition set comprises a first condition, and the first condition is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by a first threshold or above; the first measurement report depends on at least one of predicted channel quality of the first cell or predicted channel quality of the second cell; and the first cell is a serving cell, and the second cell is a neighboring cell. The present application can improve system robustness while effectively reducing channel measurements.

Description

A method and apparatus for measurement reporting in wireless communication

[0001] This application claims priority to Chinese Patent Application No. 202410662827.2, filed on May 27, 2024, entitled "A method and apparatus for measurement reporting in wireless communication", the entire contents of which are incorporated herein by reference. Technical Field

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

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

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

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

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

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

[0008] Measure the channel quality of the first cell and the channel quality of the second cell;

[0009] When any condition in the first set of conditions is met, a first measurement report is sent in the first cell.

[0010] Wherein, the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

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

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

[0013] As an example, the first measurement report includes, in addition to the measured channel quality of the first cell and the measured channel quality of the second cell, at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0014] As an example, the generation of the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0015] As an example, the triggering of the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0016] As an example, the first measurement report is triggered after at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell has been reported.

[0017] As an example, at least one of the channel quality of the first cell or the channel quality of the second cell is predicted before measuring the channel quality of the first cell and the channel quality of the second cell.

[0018] As an example, the above method can more accurately determine the cell channel quality by further monitoring the channel quality through channel measurement after channel prediction.

[0019] As an example, the above method can indicate the channel quality prediction status to the network by sending the first measurement report, so that the network can make a more accurate judgment.

[0020] According to one aspect of this application, the above method is characterized by:

[0021] When any condition in the second set of conditions is met, a second measurement report is sent in the first cell;

[0022] Wherein, the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; and the second measurement report is the most recent measurement report preceding the first measurement report.

[0023] As one embodiment, the second measurement report includes the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the first cell or the channel quality of the second cell is based on prediction.

[0024] As one embodiment, the first measurement report depending on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report depending on the second measurement report.

[0025] As an example, the above method can promptly indicate the changing trend of cell channel quality to the network by reporting the second measurement report based on the prediction.

[0026] As an example, the above method allows the network to obtain more channel quality information by reporting the second measurement report based on prediction.

[0027] As an example, the above method can save UE measurement overhead by obtaining channel quality through prediction.

[0028] According to one aspect of this application, the above method is characterized by:

[0029] The channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

[0030] According to one aspect of this application, the above method is characterized by:

[0031] The first condition being satisfied includes the first condition being satisfied within a first time interval; the second condition being satisfied includes the second condition being satisfied within a second time interval.

[0032] Wherein, the length of the first time interval is less than the length of the second time interval.

[0033] As an example, the above method can effectively avoid the ping-pong effect caused by channel instability by introducing the first time interval and the second time interval.

[0034] As an example, the method described above can achieve measurement reporting faster by making the length of the first time interval shorter than the length of the second time interval.

[0035] As an example, the length of the first time interval is equal to the length of the second time interval.

[0036] As a sub-implementation of the above embodiments, the above method can simplify system configuration.

[0037] According to one aspect of this application, the above method is characterized by:

[0038] Receive the first signaling, which configures the measurement object and measurement time for the first cell and the second cell respectively;

[0039] 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.

[0040] According to one aspect of this application, the above method is characterized by:

[0041] The first 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.

[0042] The cell in question is either the first cell or the second cell.

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

[0044] Within a third time interval after the second measurement report is sent, channel measurements are performed for the first cell and the second cell respectively within the configured prediction time.

[0045] The first measurement report includes the results of channel measurements performed during the third time interval.

[0046] As an example, the above method can effectively verify the accuracy of the prediction results included in the second measurement report by triggering additional channel measurements, thereby reducing the risk of the base station making unreasonable judgments.

[0047] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0048] When any condition in the first set of conditions is met, the first measurement report is received in the first cell.

[0049] In this process, the channel quality of the first cell and the channel quality of the second cell are measured respectively; the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell and the second cell is a neighboring cell.

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

[0051] When any condition in the second set of conditions is met, a second measurement report is received in the first cell;

[0052] Wherein, the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; and the second measurement report is the most recent measurement report preceding the first measurement report.

[0053] According to one aspect of this application, the above method is characterized by:

[0054] The channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

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

[0056] The first condition being satisfied includes the first condition being satisfied within a first time interval; the second condition being satisfied includes the second condition being satisfied within a second time interval.

[0057] Wherein, the length of the first time interval is less than the length of the second time interval.

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

[0059] Send a first signaling message, which configures the measurement object and measurement time for the first cell and the second cell, respectively;

[0060] 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.

[0061] According to one aspect of this application, the above method is characterized by:

[0062] The first 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 of the cell in the prediction time based on at least one channel measurement value for the cell.

[0063] The cell in question is either the first cell or the second cell.

[0064] According to one aspect of this application, the above method is characterized by:

[0065] Within a third time interval after the second measurement report is sent, channel measurements for the first cell and the second cell are performed respectively within the configured prediction time.

[0066] The first measurement report includes the results of channel measurements performed during the third time interval.

[0067] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0068] The first receiver measures the channel quality of the first cell and the channel quality of the second cell.

[0069] The first transmitter sends a first measurement report in the first cell when any condition in the first set of conditions is met.

[0070] Wherein, the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0071] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0072] The second receiver receives the first measurement report in the first cell when any condition in the first set of conditions is met.

[0073] In this process, the channel quality of the first cell and the channel quality of the second cell are measured respectively; the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell and the second cell is a neighboring cell. Attached Figure Description

[0074] 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:

[0075] Figure 1 illustrates a transmission flowchart of a first node according to an embodiment of this application;

[0076] Figure 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application;

[0077] Figure 3 illustrates a schematic diagram of the wireless protocol architecture of the user plane and control plane according to an embodiment of this application;

[0078] Figure 4 illustrates a schematic diagram of the hardware modules of a communication device according to an embodiment of this application;

[0079] Figure 5 illustrates a flowchart of wireless signal transmission according to an embodiment of this application;

[0080] Figure 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;

[0081] Figure 7 illustrates the relationship between channel measurements, channel predictions, and channel quality according to an embodiment of this application.

[0082] Figure 8 illustrates a schematic diagram of the relationship between measurement time, channel measurement value, prediction time, and channel prediction value according to an embodiment of this application.

[0083] Figure 9 illustrates a schematic diagram showing the relationship between a first time interval and a second time interval according to an embodiment of this application;

[0084] Figure 10 illustrates a schematic diagram of a third time interval and channel measurement according to an embodiment of this application;

[0085] Figure 11 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of this application;

[0086] Figure 12 illustrates an artificial intelligence-based schematic diagram according to an embodiment of this application;

[0087] Figure 13 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application;

[0088] Figure 14 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application. Detailed Implementation

[0089] 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.

[0090] Example 1

[0091] Example 1 illustrates a transmission flowchart of a first node according to an embodiment of this application, as shown in Figure 1.

[0092] In Example 1, the first node 100 measures the channel quality of a first cell and the channel quality of a second cell in step 101; in step 102, when any condition in a first set of conditions is met, a first measurement report is sent in the first cell; wherein, the first set of conditions includes a first condition, the first condition being that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0093] As an example, the channel quality of the first cell and the channel quality of the second cell are measured respectively.

[0094] As an example, measuring the channel quality of a cell includes measuring at least one beam associated with the cell.

[0095] As a sub-implementation of the above embodiments, the at least one beam is configured by the network.

[0096] As a sub-example of the above embodiment, the channel quality of the cell is obtained after layer 3 filtering.

[0097] As an example, measuring the channel quality of a cell includes measuring the reference signal associated with the cell.

[0098] As a sub-example of the above embodiments, the reference signal is configured by the network.

[0099] As a sub-example of the above embodiments, the reference signal is CSI-RS (Channel Status Information-Reference Signal).

[0100] As a sub-example of the above embodiments, the reference signal is a synchronization signal.

[0101] As a sub-implementation of the above embodiments, the reference signal is a secondary synchronization signal.

[0102] As a sub-example of the above embodiments, the reference signal is an SSB (Synchronization Signal Block).

[0103] As a sub-example of the above embodiment, the reference signal is SSB (SS / PBCH block (Synchronization Signals / Physical Broadcast Channel)).

[0104] As an example, the measurement gap for measuring the channel quality of the first cell is the same as the measurement gap for measuring the channel quality of the second cell.

[0105] As one embodiment, the measurement gap for measuring the channel quality of the first cell and the measurement gap for measuring the channel quality of the second cell at least partially overlap.

[0106] As one embodiment, the measurement gap for measuring the channel quality of the first cell and the measurement gap for measuring the channel quality of the second cell are orthogonal.

[0107] As an example, the channel quality of a cell includes the reference signal received power (RSRP).

[0108] As an example, the channel quality of a cell includes the reference signal received quality (RSRQ).

[0109] As an example, the channel quality of a cell includes the signal-to-interference and noise ratio (SINR).

[0110] As an example, the first cell is a serving cell.

[0111] As an example, the first cell is a SpCell (Special Cell).

[0112] As an example, the first cell is a PCell (Primary Cell).

[0113] As an example, the second cell is a neighboring cell.

[0114] As one example, the second cell is a handover candidate cell.

[0115] As an example, when any condition in the first set of conditions is met, a first measurement report is sent in the first cell.

[0116] As an example, the first set of conditions includes at least one condition.

[0117] As an example, any of the conditions included in the first set of conditions is based on measurement.

[0118] As a sub-example of the above embodiments, when the determination of a condition depends solely on the measurement result, the condition is based on measurement.

[0119] As an example, the first measurement report is an RRC message.

[0120] As an example, the first measurement report is a Measurement Report.

[0121] As an example, the first measurement report is MAC (Medium Access Control) CE (Control Element).

[0122] As one embodiment, sending the first measurement report in the first cell includes: sending the first measurement report on the frequency domain resources of the first cell.

[0123] As an example, the first set of conditions includes a first condition, which is that the channel quality of the measured second cell is better than the channel quality of the measured first cell by more than a first threshold.

[0124] As an example, the first threshold is configured by the network.

[0125] As an example, the first threshold is pre-configured.

[0126] As an example, the measurement of the channel quality of the second cell being better than the measurement of the channel quality of the first cell by more than a first threshold includes: the measurement of the channel quality of the second cell being better than the measurement of the channel quality of the first cell, and the difference between the measurement of the channel quality of the second cell and the measurement of the channel quality of the first cell being greater than the first threshold.

[0127] As an example, the first threshold is greater than 0.

[0128] As an example, the measurement of the channel quality of the second cell being better than the measurement of the channel quality of the first cell by more than a first threshold includes: the sum of the measured channel quality of the second cell plus a first offset minus the sum of the measured channel quality of the first cell plus a second offset being greater than the first threshold; wherein the first offset and the second offset are respectively configured by the network.

[0129] As an example, the measured channel quality of the second cell being better than the measured channel quality of the first cell by more than a first threshold includes: Mn + Ofn + Ocn – Hys > Mp + Ofp + Ocp + Off; wherein, Mn is the measured channel quality of the second cell excluding offset, Ofn is a specific offset configured for the measurement object of the second cell reference signal, Ocn is a specific offset configured for the second cell, Hys is the first threshold, Mp is the measured channel quality of the first cell excluding offset, Ofp is a specific offset configured for the measurement object of the first cell, Ocp is a specific offset configured for the first cell, and Off is a hysteresis parameter configured for the first condition.

[0130] As an example, the first set of conditions includes the measured channel quality of the second cell being better than a second threshold, and the measured channel quality of the first cell being worse than a third threshold.

[0131] As a sub - embodiment of the above - mentioned embodiment, the channel quality of the measured second cell is greater than the second threshold, and the channel quality of the measured first cell is less than the third threshold.

[0132] As a sub - embodiment of the above - mentioned embodiment, the sum of the channel quality of the measured second cell and a third offset is greater than the second threshold, and the sum of the channel quality of the measured first cell and a fourth offset is less than the third threshold; wherein, the third offset and the fourth offset are respectively configured by the network.

[0133] As a sub - embodiment of the above - mentioned embodiment, Mn + Ofn+Ocn–Hys>Thresh2, and Mp + Hys<Thresh1; wherein, Mn is the channel quality of the measured second cell without considering the offset, Ofn is the specific offset configured for the measurement object of the second cell, Ocn is the specific offset configured for the second cell, Hys is the configured hysteresis parameter, Thresh2 is the second threshold, Mp is the channel quality of the measured first cell without considering the offset, and Thresh1 is the third threshold.

[0134] As an embodiment, the second threshold and the third threshold are respectively configured by the network.

[0135] As an embodiment, the second threshold and the third threshold are respectively pre - configured.

[0136] As an embodiment, the first set of conditions includes that the condition for switching from the first cell to the second cell determined according to the measurements respectively for the first cell and the second cell is satisfied.

[0137] As an embodiment, the first measurement report includes the channel quality of the measured first cell.

[0138] As an embodiment, the first measurement report includes the channel quality of the measured second cell.

[0139] As an embodiment, the first measurement report indicates that the channel quality of the first cell and the channel quality of the second cell included therein are based on measurements.

[0140] As an embodiment, the first measurement report includes the event that triggers the first measurement report.

[0141] As an embodiment, the first measurement report indicates that the criterion for a measurement reporting event is satisfied, and the measurement reporting event is A3 or A5.

[0142] As an example, the A3 event or the A5 event indicates that the conditions for the measured cell handover are met.

[0143] As an example, the first measurement report indicates that the conditions for switching from the first cell to the second cell have been met.

[0144] As an example, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0145] As an example, the first measurement report relies on the predicted channel quality of the first cell.

[0146] As an example, the first measurement report relies on the predicted channel quality of the second cell.

[0147] As an example, the first measurement report relies on the predicted channel quality of the first cell and the predicted channel quality of the second cell.

[0148] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report relating to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0149] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: generating the first measurement report based on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0150] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report including at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0151] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report includes at least one channel quality reference value, the at least one channel quality reference value being related to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0152] As an example, the predicted channel quality is the predicted channel quality prior to the transmission of the first measurement report.

[0153] As an example, the predicted channel quality reflects the channel quality prior to the transmission of the first measurement report.

[0154] As an example, the predicted channel quality is obtained through channel prediction.

[0155] As one embodiment, the predicted channel quality obtained through channel prediction includes cases where the predicted channel quality is not obtained through channel measurement.

[0156] As one embodiment, the predicted channel quality obtained through channel prediction includes: the predicted channel quality is obtained through interpolation calculation.

[0157] As an example, the predicted channel quality obtained through channel prediction includes: the predicted channel quality is obtained through prediction using an AI model.

[0158] As an example, the predicted channel quality is obtained through channel prediction, which includes: the predicted channel quality is obtained by reasoning from at least one channel measurement in the time domain, frequency domain, and spatial domain.

[0159] As an example, channel quality is represented by RSRP.

[0160] As an example, channel quality is represented by RSRQ.

[0161] As an example, channel quality is represented by SINR.

[0162] It should be noted that channel prediction in this application corresponds to channel measurement. The measured channel quality can be obtained by performing channel measurement, while the predicted channel quality can be obtained by performing channel prediction without performing channel measurement.

[0163] As an example, channel prediction relies on channel measurements.

[0164] As one example, channel prediction includes inferring channel quality based on the results of channel measurements.

[0165] As an example, channel prediction is time-domain.

[0166] As an example, channel prediction is in the frequency domain.

[0167] As an example, channel prediction is spatial.

[0168] As one example, channel prediction is achieved through interpolation calculations.

[0169] As an example, channel prediction is achieved through an AI / ML (machine learning) model.

[0170] Example 2

[0171] Example 2 illustrates a network architecture diagram according to one embodiment of this application, as shown in Figure 2. Figure 2 illustrates a network architecture 200 of an NR 5G, LTE (Long-Term Evolution), and LTE-A (Long-Term Evolution Advanced) system. The NR 5G, LTE, or LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable term. The 5GS / EPS 200 may include one or more UEs (User Equipment) 201, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. The 5GS / EPS can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the 5GS / EPS provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The NG-RAN includes NR Node Bs (gNBs) 203 and other gNBs 204. gNBs 203 provide user and control plane protocol termination toward the UE 201. gNBs 203 may connect to other gNBs 204 via Xn interfaces (e.g., backhaul links). The XnAP protocol of the Xn interface is used to transmit control plane messages for the wireless network, while the user plane protocol of the Xn interface is used to transmit user plane data. The gNB203 can also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, Basic Service Set (BSS), Extended Service Set (ESS), TRP (Transmission Reception Point), or some other suitable term. In NTN (Non-Terrestrial Network) networks, the gNB203 can be a satellite, an aircraft, or a ground base station relayed via satellite. The gNB203 provides the UE201 with an access point to the 5GC / EPC210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, in-vehicle equipment, in-vehicle communication units, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. The gNB203 connects to the 5GC / EPC210 via the S1 / NG interface. The 5GC / EPC210 includes the MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, the S-GW (Service Gateway) / UPF (User Plane Function) 212, and the P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE201 and the 5GC / EPC210. ​​Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the 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.

[0172] As an example, UE201 corresponds to the first node in this application.

[0173] As an example, gNB203 corresponds to the second node in this application.

[0174] As an example, the UE201 is a user equipment.

[0175] As an example, the gNB203 is a macrocell base station.

[0176] As an example, the gNB203 is a microcell base station.

[0177] As an example, the gNB203 is a pico cell base station.

[0178] As an example, the gNB203 is a femtocell.

[0179] As an example, the gNB203 is a base station device that supports large latency differences.

[0180] As one example, the gNB203 is a flight platform device.

[0181] As an example, the gNB203 is a satellite device.

[0182] As an example, the gNB203 is a base station device that supports large latency differences.

[0183] 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).

[0184] As an example, the radio link from the UE201 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0185] As an example, the radio link from the gNB203 to the UE201 is a downlink, which is used to perform downlink transmissions.

[0186] As an example, the UE201 and the gNB203 are connected via a Uu interface.

[0187] Example 3

[0188] Example 3 illustrates a schematic diagram of the wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of the wireless protocol architecture for the user plane 350 and control plane 300. Figure 3 shows the wireless protocol architecture of the control plane 300 of the UE and gNB using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. The L1 layer will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the UE and gNB through PHY 301. L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the gNB on the network side. PDCP sublayer 304 provides data encryption and integrity protection, and also supports inter-gNB mobility for UEs. RLC sublayer 303 provides packet segmentation and reassembly, and implements retransmission of lost packets via ARQ (Automatic Repeat Request). RLC sublayer 303 also provides duplicate packet detection and protocol error detection. MAC sublayer 302 provides mapping between logical channels and transport channels, and multiplexing of logical channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among UEs. MAC sublayer 302 is also responsible for HARQ (Hybrid Automatic Repeat Request) operations. RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the gNB and the UE. The wireless protocol architecture of user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The wireless protocol architecture in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for physical layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355 and MAC sublayer 352 in L2 layer 355. However, PDCP sublayer 354 also provides header compression for upper layer data packets to reduce wireless transmission overhead.The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356. The SDAP sublayer 356 is responsible for mapping between QoS (Quality of Service) streams and Data Radio Bearers (DRBs) to support service diversity. The UE's radio protocol architecture in the user plane 350 at the L2 layer may include some or all of the protocol sublayers of SDAP sublayer 356, PDCP sublayer 354, RLC sublayer 353, and MAC sublayer 352. Although not illustrated, the UE may also have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0189] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node in this application.

[0190] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node in this application.

[0191] As an example, the first measurement report in this application is generated in the RRC306.

[0192] As an example, the first measurement report in this application is generated by the MAC302 or the MAC352.

[0193] As an example, the second measurement report in this application is generated in the RRC306.

[0194] As an example, the first signaling in this application is generated in the RRC306.

[0195] As an example, the L2 layer 305 or 355 belongs to a higher layer.

[0196] As an example, the RRC sublayer 306 in the L3 layer belongs to a higher layer.

[0197] Example 4

[0198] Example 4 illustrates a hardware module schematic diagram of a communication device according to an embodiment of this application, as shown in Figure 4. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in an access network.

[0199] 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.

[0200] 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.

[0201] 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-Quadrature Amplitude Modulation (M-QAM)). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing to generate one or more spatial streams. Transmit processor 416 then maps each spatial stream to a subcarrier, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an 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 multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0202] 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.

[0203] 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.

[0204] 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.

[0205] 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: measures the channel quality of a first cell and the channel quality of a second cell; and transmits a first measurement report in the first cell when any condition in a first set of conditions is met; wherein the first set of conditions includes a first condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0206] 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, produces actions including: measuring the channel quality of a first cell and the channel quality of a second cell; and transmitting a first measurement report in the first cell when any condition in a first set of conditions is met; wherein the first set of conditions includes a first condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of a predicted channel quality of the first cell or a predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0207] 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: receives a first measurement report in a first cell when any condition in a first set of conditions is met; wherein the channel quality of the first cell and the channel quality of a second cell are measured respectively; the first set of conditions includes a first condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of a predicted channel quality of the first cell or a predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0208] As one embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces an action including: receiving a first measurement report in a first cell when any condition in a first set of conditions is met; wherein the channel quality of the first cell and the channel quality of a second cell are measured respectively; the first set of conditions includes a first condition that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of a predicted channel quality of the first cell or a predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0209] As an example, the first communication device 450 corresponds to the first node in this application.

[0210] As an example, the second communication device 410 corresponds to the second node in this application.

[0211] As an example, the first communication device 450 is a UE.

[0212] As an example, the first communication device 450 is a relay node.

[0213] As one embodiment, the second communication device 410 is a base station.

[0214] As one embodiment, the second communication device 410 is a base station distribution unit.

[0215] As one embodiment, the second communication device 410 is a piece of code in the distribution unit of a base station.

[0216] As one embodiment, at least one of the antenna 452, the transmitter 454, the multi-antenna transmitter processor 457, the transmitter processor 468, or the controller / processor 459 is used to transmit the first measurement report in this application.

[0217] As one embodiment, at least one of the antenna 420, the receiver 418, the multi-antenna receiver processor 472, the receiver processor 470, or the controller / processor 475 is used to receive the first measurement report in this application.

[0218] As one embodiment, at least one of the antenna 452, the transmitter 454, the multi-antenna transmitter processor 457, the transmitter processor 468, or the controller / processor 459 is used to transmit the second measurement report in this application.

[0219] As one embodiment, at least one of the antenna 420, the receiver 418, the multi-antenna receiver processor 472, the receiver processor 470, or the controller / processor 475 is used to receive the second measurement report in this application.

[0220] 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.

[0221] 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.

[0222] Example 5

[0223] Example 5 illustrates a wireless signal transmission flowchart according to one embodiment of this application, as shown in Figure 5. In Figure 5, the first node N51 and the second node N52 communicate via a wireless interface. It should be noted that the order in this example does not limit the signal transmission order or the order of implementation in this application.

[0224] For the first node N51, in step S511, a first signaling is received; in step S512, it is determined that any condition in the second set of conditions is satisfied; in step S513, a second measurement report is sent; in step S514, it is determined that any condition in the first set of conditions is satisfied; and in step S515, a first measurement report is sent.

[0225] For the second node N52, a first signaling is sent in step S521; a second measurement report is received in step S522; and a first measurement report is received in step S523.

[0226] In Example 5, the channel quality of a first cell and the channel quality of a second cell are measured. When any condition in a first set of conditions is met, a first measurement report is sent in the first cell. The first set of conditions includes a first condition: the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold. The first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell. The first cell is a serving cell, and the second cell is a neighboring cell. When any condition in a second set of conditions is met, a second measurement report is sent in the first cell. The second set of conditions includes a second condition: the channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold. The channel quality exceeds the first threshold; in the second condition, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction; the second measurement report is the most recent measurement report prior to the first measurement report; in the second condition, the channel quality of the first cell is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell; receiving first signaling, the first signaling configuring measurement objects and measurement times 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.

[0227] As one embodiment, the second node N52 is the sustaining base station of the serving cell of the first node N51.

[0228] As one embodiment, the second node N52 is the Transmit / Receive Point (TRP) of the serving cell of the first node N51.

[0229] As one embodiment, the second node N52 is the sustaining base station of the master cell group (MCG) of the first node N51.

[0230] As one embodiment, the second node N52 is the sustaining base station of the secondary cell group (SCG) of the first node N51.

[0231] As an example, the second node N52 is MgNB (primary gNB).

[0232] As an example, the second node N52 is SgNB (auxiliary gNB).

[0233] As one embodiment, the first node N51 and the second node N52 transmit through at least the first cell.

[0234] As an example, the first node N51 is a UE.

[0235] As an example, when any condition in the second set of conditions is met, a second measurement report is sent in the first cell.

[0236] As an example, the second set of conditions includes at least one condition.

[0237] As an example, any of the conditions included in the second set of conditions is based on prediction.

[0238] As a sub-example of the above embodiments, when the determination of a condition depends at least on the prediction result, the condition is based on the prediction.

[0239] As a sub-example of the above embodiments, when the judgment of a condition depends on both the measurement result and the prediction result, the condition is based on the prediction.

[0240] As an example, the second set of conditions includes a second condition.

[0241] As an example, the second condition is that the channel quality of the second cell is better than the channel quality of the first cell by more than the first threshold; wherein, at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction.

[0242] As an example, the second condition differs from the first condition in that at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction, while the channel quality of the first cell and the channel quality of the second cell in the first condition are both based on measurement.

[0243] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being prediction-based, and the channel quality of the second cell being measurement-based.

[0244] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being measurement-based, and the channel quality of the second cell being prediction-based.

[0245] As one embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell being prediction-based includes: the channel quality of the first cell being prediction-based, and the channel quality of the second cell being prediction-based.

[0246] As an example, the channel quality of a cell is based on prediction, which includes: the channel quality of a cell is obtained through channel prediction.

[0247] As an example, the channel quality of a cell is based on prediction, which includes: the channel quality of a cell is obtained through channel measurement and channel prediction.

[0248] 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.

[0249] 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.

[0250] As one embodiment, the second set of conditions includes the channel quality of the second cell being better than the second threshold, and the channel quality of the first cell being worse than the third threshold; wherein, at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0251] As a sub-implementation of the above embodiment, the channel quality of the second cell is greater than the second threshold, and the channel quality of the first cell is less than the three thresholds.

[0252] As one embodiment, the second set of conditions includes determining that the conditions for handover from the first cell to the second cell are met based on the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0253] As one embodiment, the second measurement report includes the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction.

[0254] As an example, the second measurement report indicates that a criterion for a measurement reporting event has been met, said measurement reporting event being either A3' or A5'.

[0255] As an example, the A3' event or the A5' event indicates that the conditions for the predicted cell handover are met.

[0256] As an example, the triggering criteria for the A3 event and the A3' event are the same.

[0257] As an example, the triggering criteria for the A3 event and the A3' event are different.

[0258] As a sub-implementation of the above embodiment, the triggering time for the A3 event and the triggering time for the A3' event are different.

[0259] As a sub-example of the above embodiment, the thresholds for triggering the A3 event and the thresholds for triggering the A3' event are different.

[0260] As an example, the triggering criteria for the A5 event and the A5' event are the same.

[0261] As an example, the triggering criteria for the A5 event and the A5' event are different.

[0262] As a sub-example of the above embodiment, the triggering time for the A5 event and the triggering time for the A5' event are different.

[0263] As a sub-example of the above embodiment, the thresholds for triggering the A5 event and the A5' event are different.

[0264] As an example, the second measurement report indicates that the conditions for handover from the first cell to the second cell based on the predicted channel quality have been met.

[0265] As an example, the second measurement report indicates that at least one of the channel quality of the first cell and the channel quality of the second cell included therein is based on prediction.

[0266] As an example, the second measurement report is triggered based on the predicted cell channel quality.

[0267] As one embodiment, the triggering of the second measurement report is based on predicted cell channel quality, including: the second measurement report is triggered by a predicted result that has not yet occurred in the time domain.

[0268] 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.

[0269] As one example, the second measurement report is triggered based on predicted cell channel quality, including the prediction that conditions for handover from the first cell to the second cell will be met.

[0270] As an example, the conditions for switching from the first cell to the second cell are configured by the network.

[0271] As an example, the second measurement report is triggered based on predicted cell channel quality, including predictions of the A3' event.

[0272] As one example, the second measurement report is triggered based on predicted cell channel quality, including predicted A5' events.

[0273] As an example, the second measurement report is the most recent measurement report preceding the first measurement report.

[0274] As an example, the second measurement report and the first measurement report are for the same measurement configuration (MeasConfig).

[0275] As one example, the second measurement report and the first measurement report refer to the same measurement identifier (MeasId).

[0276] As an example, a measurement identifier indicates a measurement object and a reporting configuration.

[0277] As an example, the predicted channel quality of the first cell included in the second measurement report and the measured channel quality of the first cell included in the first measurement report are for the same measurement object.

[0278] As an example, the predicted channel quality of the second cell included in the second measurement report and the measured channel quality of the second cell included in the first measurement report are for the same measurement object.

[0279] As one example, the object of measurement includes information applied to the measurement.

[0280] As a sub-example of the above embodiments, the information applied to the measurement includes ssbFrequency (SS / PBCH block frequency).

[0281] As a sub-example of the above embodiments, the information applied to the measurement includes ssbSubCarrierSpacing (SS / PBCH block subcarrier spacing).

[0282] As a sub-example of the above embodiments, the information applied to the measurement includes SMTC (SS / PBCH block measurement timing configuration).

[0283] As a sub-example of the above embodiments, the information applied to the measurement includes a reference signal configuration.

[0284] As a sub-example of the above embodiments, the information applied to the measurement includes the measurement cell.

[0285] As an example, no measurement report for the same measurement configuration, the same measurement identifier, or the same measurement object is sent after the second measurement report is sent and before the first measurement report is sent.

[0286] As an example, the channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

[0287] As a sub-example of the above embodiments, the first measurement report indicates whether the prediction of the channel quality for the first cell is correct.

[0288] As a sub-implementation of the above embodiments, the first measurement report includes at least one channel quality reference value, the at least one channel quality reference value including the difference between the channel quality of the first cell measured when the first measurement report is reported and the channel quality of the first cell predicted when the second measurement report is reported; wherein, the channel quality is RSRP, or RSRQ, or SINR.

[0289] As a sub-implementation of the above embodiments, the first measurement report includes the measured channel quality of the first cell; wherein, the absolute value of the difference between the channel quality of the first cell measured when the first measurement report is reported and the channel quality of the first cell predicted when the second measurement report is reported is greater than a preset value, the preset value being configurable or pre-configurable; the channel quality is RSRP, or RSRQ, or SINR.

[0290] As an example, the channel quality of the second cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the second cell.

[0291] As a sub-example of the above embodiment, the first measurement report indicates whether the prediction of the channel quality for the second cell is correct.

[0292] As a sub-implementation of the above embodiments, the first measurement report includes at least one channel quality reference value, the at least one channel quality reference value including the difference between the channel quality of the second cell measured when the first measurement report is reported and the channel quality of the second cell predicted when the second measurement report is reported; wherein, the channel quality is RSRP, or RSRQ, or SINR.

[0293] As a sub-implementation of the above embodiment, the first measurement report includes the measured channel quality of the second cell; wherein, the absolute value of the difference between the channel quality of the second cell measured when the first measurement report is reported and the channel quality of the second cell predicted when the second measurement report is reported is greater than a preset value, the preset value being configurable or pre-configurable; the channel quality is RSRP, or RSRQ, or SINR.

[0294] As one embodiment, the first measurement report relying on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell includes: the first measurement report being associated with the second measurement report.

[0295] As a sub-example of the above embodiments, the first measurement report indicates whether the second measurement report is correct.

[0296] As a sub-implementation of the above embodiments, the first measurement report includes at least one of the deviation between the measured channel quality of the first cell and the predicted channel quality of the first cell, or the deviation between the measured channel quality of the second cell and the predicted channel quality of the second cell.

[0297] As a sub-implementation of the above embodiments, the triggering of the first measurement report depends on the sending of the second measurement report.

[0298] As a sub-implementation of the above embodiments, the first measurement report is not triggered when the second measurement report is not sent.

[0299] As a sub-implementation of the above embodiment, the first measurement report is triggered when the second measurement report is sent.

[0300] As a sub-example of the above embodiments, the first measurement report includes at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

[0301] As an example, channel measurement and / or channel prediction are performed on a cell according to the measurement and reporting configuration of the network for a cell, and the measurement results and / or prediction results are reported; wherein, the cell is the first cell or the second cell.

[0302] As an example, a first signaling is received, which configures the measurement object and measurement time for the first cell and the second cell, respectively.

[0303] As an example, the first signaling is higher-layer signaling.

[0304] As an example, the first signaling is RRC signaling.

[0305] As an example, the first signaling is at least one IE (Information Element) included in RRC signaling.

[0306] As an example, the first signaling includes MeasConfig IE.

[0307] As one example, the first signaling includes MeasObjectToAddModList (a list of measurement objects to be added and modified).

[0308] As one example, the first signaling includes MeasIdToAddModList (a list of measurement identifiers to be added or modified).

[0309] As one example, the first signaling instructs the first cell and configures the measurement object for the first cell.

[0310] As one example, the first signaling instructs the second cell and configures the measurement object for the second cell.

[0311] 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).

[0312] As an example, the parameters configured for the measurement object include information on CSI-RS intra-frequency / inter-frequency measurements.

[0313] As one example, the parameters configured for the measurement object include measurement frequency information.

[0314] As an example, the parameters configured for the measurement object include measurement time information.

[0315] As one example, the parameters configured for the object being measured include the measurement period.

[0316] As an example, the first signaling configures measurement reporting for the first cell and the second cell, respectively.

[0317] As one example, the first signaling includes ReportConfigToAddModList (a list of configuration additions and modifications to be reported).

[0318] As one example, the parameters for configuring the measurement reporting include criteria for triggering the measurement reporting event.

[0319] As one example, configuring the parameters for measurement reporting includes the period at which measurement reporting is triggered.

[0320] As an example, a measurement report for a community is associated with the measurement objects of that community.

[0321] As a sub-implementation of the above embodiments, the measurement reporting of a cell includes the results obtained by performing channel measurements on the measurement objects of the cell.

[0322] As a sub-implementation of the above embodiments, the measurement reporting of a cell includes the results obtained by performing channel prediction on the measurement objects of the cell.

[0323] 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.

[0324] 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.

[0325] As an example, a channel measurement is the reference signal received power (RSRP).

[0326] As an example, a channel measurement is the reference signal received quality (RSRQ).

[0327] As an example, a channel measurement is the signal-to-noise and interference ratio (SNR).

[0328] As an example, after any condition in the second set of conditions based on the prediction is met and the second measurement report is triggered, the first node begins to measure the channel quality and triggers the first measurement report when any condition in the first set of conditions based on the measurement is met.

[0329] Example 6

[0330] Example 6 illustrates a schematic diagram of at least one channel measurement, at least one channel prediction, and channel quality according to one embodiment of this application, as shown in Figure 6. In Figure 6, a first processor is located at the first node.

[0331] As an example, the first signaling configures the prediction time for the first cell and the second cell respectively.

[0332] As one embodiment, the first processor infers at least one channel prediction value for the cell during the prediction time based on at least one channel measurement value for a cell input; wherein the cell is either the first cell or the second cell.

[0333] As a sub-implementation of the above embodiments, at least the former of the at least one channel prediction value of the cell and the at least one channel measurement value of the cell is filtered to obtain the predicted channel quality of the cell.

[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, which 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 a sub-implementation of the above embodiments, the time-domain resources included in the first time length include the measurement time of the first signaling configuration; the time-domain resources included in the second time length include the prediction time of the first signaling configuration.

[0338] 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.

[0339] 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.

[0340] As one embodiment, the first processor infers the channel quality of the cell at the prediction time based on at least one channel measurement value for a cell; wherein the cell is either the first cell or the second cell.

[0341] In Case A of Example 6, the first processor infers at least one channel prediction value for the cell based on at least one channel measurement value for the cell.

[0342] The above embodiments predict the channel quality of the cell based on the at least one channel prediction value of the cell.

[0343] In Case B of Example 6, the first processor infers the channel quality for a cell based on at least one channel measurement for a cell.

[0344] The above embodiments predict the channel quality of the cell based on the at least one channel measurement value of the cell.

[0345] The difference between Case A and Case B in Example 6 is that in Case A, the channel prediction value is obtained by inference from the channel measurement value, and then the channel quality is obtained by further filtering; while in Case B, the channel quality is obtained directly by inference from the channel measurement value.

[0346] Unless otherwise stated, the method for obtaining channel quality in this application is applicable to both the first cell and the second cell.

[0347] Example 7

[0348] Example 7 illustrates a schematic diagram of the relationship between channel measurements, channel predictions, and channel quality according to an embodiment of this application, as shown in Figure 7.

[0349] As an example, the first processor directly infers the channel quality of a cell based on at least one channel measurement for a cell.

[0350] As one embodiment, the first processor infers at least one channel prediction value for the cell based on at least one channel measurement value for the cell; the first receiver 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.

[0351] As an example, the layer 3 filtering parameters are configured by the network.

[0352] As an example, the layer 3 filtering is standardized.

[0353] As an example, the layer 3 filtering is implemented by the UE.

[0354] As an example, the layer 3 filtering is implemented using a sliding window.

[0355] 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 channel measurement value or the current channel prediction value.

[0356] Example 8

[0357] Example 8 illustrates a schematic diagram of the relationship between measurement time, channel measurement value, prediction time, and channel prediction value according to an embodiment of this application, as shown in Figure 8. In Figure 8, solid rectangles represent channel measurement values, and dashed rectangles represent channel prediction values.

[0358] As an example, when channel prediction is performed in the time domain, at least one future channel prediction value is predicted based on at least one of existing channel measurements and channel prediction values.

[0359] 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.

[0360] 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.

[0361] 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.

[0362] 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.

[0363] As an example, the measurement time includes a positive integer number of channel measurement cycles.

[0364] As an example, a measurement is performed once in each measurement cycle during the measurement time to obtain a channel measurement value, and further, the measured channel quality is obtained.

[0365] As an example, the prediction time includes a positive integer number of channel measurement periods.

[0366] As an example, no measurement is performed in each measurement period included in the prediction time, and the corresponding channel prediction value is obtained based on the prediction.

[0367] As an example, the channel quality corresponding to each measurement period included in the prediction time is obtained based on prediction.

[0368] As one example, the measurement time and the prediction time are orthogonal.

[0369] 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.

[0370] As a sub-example of the above embodiments, the above method can improve the accuracy of channel quality prediction.

[0371] 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.

[0372] As a sub-implementation of the above embodiments, the above method can promptly determine the accuracy of channel prediction.

[0373] Figure 8 illustrates the alternating measurement and prediction times, with two channel measurements obtained in one measurement time interval and three channel predictions obtained based on predictions in one prediction time interval.

[0374] As an example, the time interval between obtaining two adjacent channel measurements, adjacent channel measurements and channel predictions, and adjacent channel predictions is the same, which constitutes one channel measurement cycle.

[0375] Example 9

[0376] Example 9 illustrates a schematic diagram of the relationship between a first time interval and a second time interval according to an embodiment of this application, as shown in Figure 9. In Figure 9, solid rectangles represent channel quality within the first time interval, and dashed rectangles represent channel quality within the second time interval.

[0377] As an example, the first condition being satisfied includes the first condition being satisfied within a first time interval.

[0378] As an example, the first condition is satisfied when the channel quality of the second cell measured during the first time interval is better than the channel quality of the first cell measured during the first time interval by more than the first threshold.

[0379] As an example, the first time interval is timeToTrigger (trigger time) defined for the measurement event.

[0380] As an example, the first time interval is the trigger time of the first measurement report.

[0381] As one embodiment, the second condition being satisfied includes the second condition being satisfied within a second time interval.

[0382] As an example, the second condition is satisfied when the channel quality of the second cell during the second time interval is better than the channel quality of the first cell during the second time interval by more than the first threshold, wherein at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction.

[0383] As one example, the second time interval is timeToTrigger (trigger time) defined for the predicted event.

[0384] As one example, the second time interval is the trigger time for the second measurement report.

[0385] As an example, the time-domain resources included in the first time interval are later than the time-domain resources included in the second time interval.

[0386] As an example, the time-domain resources included in the first time interval immediately follow the time-domain resources included in the second time interval.

[0387] As an example, the length of the first time interval is shorter than the length of the second time interval.

[0388] As a sub-implementation of the above embodiments, the above method can verify in a timely manner whether the predicted channel quality is accurate.

[0389] As a sub-implementation of the above embodiments, the above method can promptly send the first measurement report to the base station to indicate whether the predicted channel quality is accurate.

[0390] As an example, the first time interval and the second time interval each include a positive integer number of channel measurement periods.

[0391] As an example, the first time interval and the second time interval are respectively configured by the network.

[0392] As one embodiment, the second time interval is configured by the network, while the first time interval is determined by the UE itself.

[0393] As one example, the first time interval is configured by the network, and the second time interval is determined by the UE itself.

[0394] Example 10

[0395] Example 10 illustrates a schematic diagram of a third time interval and channel measurement according to an embodiment of this application, as shown in Figure 10.

[0396] As one embodiment, the second measurement report is triggered by a predicted event, and within a third time interval after the second measurement report is sent, channel measurements are performed for the first cell and the second cell respectively within a configured prediction time.

[0397] As an example, the second measurement report triggers additional channel measurements.

[0398] As a sub-example of the two embodiments described above, the above method can effectively avoid inaccurate channel prediction through additional channel measurements.

[0399] As an example, the start time of the third time interval is the end time of sending the second measurement report.

[0400] As an example, the start time of the third time interval is the start time of the first measurement cycle after the second measurement report is triggered.

[0401] As an example, the start time of the third time interval is the start time of the first measurement gap after the second measurement report is triggered.

[0402] As an example, the length of the third time interval is configured by the network.

[0403] As an example, the length of the third time interval is the same as the length of the first time interval.

[0404] As an example, the length of the third time interval is the same as the length of the second time interval.

[0405] As an example, the length of the third time interval is determined by the UE itself.

[0406] As an example, the first measurement report includes the results of channel measurements performed during the third time interval.

[0407] As an example, the channel quality of the first cell included in the first measurement report is the channel quality of the first cell measured within the third time interval.

[0408] As an example, the channel quality of the second cell included in the first measurement report is the channel quality of the second cell measured within the third time interval.

[0409] The upper half of Figure 10 shows the measurement time and prediction time configured according to the first signaling, and the lower half of Figure 10 shows the channel measurement performed within the prediction time of the configured third time interval after the second measurement report is sent.

[0410] Example 11

[0411] Example 11 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of this application, as shown in Figure 11. Figure 11 includes a first processor, a second processor, and a third processor. In Example 11, the third processor sends a first dataset to the second processor and a second dataset to the first processor; the second processor generates a target parameter set based on the first dataset and sends the generated target parameter set to the first processor; the first processor processes the second dataset using the target parameter set to obtain a first type of output. In Figure 11, the first type of feedback is optional.

[0412] As an example, the artificial intelligence (AI) includes machine learning (ML).

[0413] As one embodiment, the third processor performs measurements on at least one cell to obtain a first dataset and a second dataset; wherein the at least one cell includes the first cell and the second cell, the first dataset includes at least one channel measurement value for the first cell and / or at least one channel measurement value for the second cell; the second dataset includes at least one channel measurement value for the first cell and / or at least one channel measurement value for the second cell.

[0414] As an example, the data included in the first dataset and the data included in the second dataset are at least partially different.

[0415] As an example, the first dataset and the second dataset are obtained by performing measurements on cells on different time-domain resources.

[0416] As an example, the first dataset and the second dataset are obtained by performing measurements on cells on different frequency domain resources.

[0417] As one embodiment, the second processor includes an AI / ML training producer.

[0418] As one embodiment, the second processor includes an AI / ML training function.

[0419] As an example, the first dataset includes training data.

[0420] As one embodiment, the second processor is trained based on the input first dataset, and the trained model is described by the target parameter set.

[0421] As one embodiment, the third processor is located at the first node, and the second processor is located at the second node.

[0422] The above embodiments can reduce the computational burden on the UE.

[0423] As one embodiment, the third processor is located at the first node, and the second processor is located at the first node.

[0424] The above embodiments can reduce signaling overhead and optimize the training system.

[0425] As an example, the target parameter set is input to the first processor.

[0426] As one embodiment, the first processor includes an AI / ML inference producer.

[0427] As one embodiment, the first processor includes an AI / ML inference function.

[0428] As an example, the second dataset includes inference data.

[0429] As an example, the first processor constructs a model based on the target parameter set and inputs the second dataset into the constructed model to obtain the first type of output.

[0430] As an example, different sets of target parameters can construct different models, and the corresponding first type of output will also be different.

[0431] 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.

[0432] 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.

[0433] As an example, the first type of output is based on prediction.

[0434] As an example, the first type of output is a channel prediction value.

[0435] As an example, the first type of output is the predicted channel quality.

[0436] As an example, the first type of output is a predicted cell handover event.

[0437] As an example, the first type of output is whether the predicted cell handover conditions are met.

[0438] As one embodiment, the first processor is located at the first node.

[0439] As a sub-implementation of the above embodiment, when the second processor is located at the second node, the target parameter group is sent to the first node via the air interface.

[0440] As an example, the first processor generates the first type of feedback from the first type of output and the error based on the measured output.

[0441] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the second processing opportunity recalculates the target parameter set.

[0442] Example 12

[0443] Example 12 illustrates an AI-based schematic diagram according to an embodiment of this application, as shown in Figure 12. Figure 12 includes five operations: ML training, ML testing, ML emulation, ML entity loading, and AI / ML inference. In Example 12, ML training and ML testing belong to the training phase, ML emulation belongs to the simulation phase, ML entity loading belongs to the deployment phase, and AI / ML inference belongs to the inference phase. In Figure 12, the arrowed lines indicate the sequence of processes.

[0444] As one embodiment, the ML training, the ML testing, and the ML simulation are performed on the second processor described in Embodiment 11; the AI / ML inference is performed on the first processor described in Embodiment 11.

[0445] As an example, the ML training includes initial training and re-training of one or a group of ML entities.

[0446] As an example, the ML training depends on training data.

[0447] As an example, the ML training includes ML entity validation.

[0448] As an example, the ML entity verification is used to evaluate the performance of the ML entity.

[0449] As an example, the ML entity verification depends on verification data.

[0450] As an example, if the ML entity verification results do not meet expectations, the ML entity will be retrained.

[0451] As one example, the ML testing includes testing the validated ML entity to estimate the performance obtained from training.

[0452] 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.

[0453] As an example, the ML test relies on test data.

[0454] As an example, the ML simulation performs inference of ML entities in a simulation environment.

[0455] As an example, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using ML entities.

[0456] As an example, the simulation phase is optional.

[0457] As an example, the ML entity loading is to obtain trained ML entities to achieve the desired ML inference functionality.

[0458] As an example, the deployment phase is optional.

[0459] As an example, this deployment is no longer needed when the training and inference functions are co-located.

[0460] As one example, the AI / ML inference function includes a prediction function.

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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 the first threshold before sending the second measurement report.

[0465] Unless otherwise specified, all reasoning in this application is performed by the AI / ML reasoning.

[0466] Example 13

[0467] Example 13 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application, as shown in Figure 13. In Figure 13, the first node processing apparatus 1300 includes a first receiver 1301, a first transmitter 1302, and a first processor 1303. The first node 1300 is a UE.

[0468] In embodiment 13, a first receiver 1301 measures the channel quality of a first cell and the channel quality of a second cell; a first transmitter 1302 transmits a first measurement report in the first cell when any condition in a first set of conditions is met; wherein the first set of conditions includes a first condition, the first condition being that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0469] As an example, the first transmitter 1302 transmits a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; and the second measurement report is the most recent measurement report preceding the first measurement report.

[0470] As one embodiment, the first transmitter 1302 transmits a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; the second measurement report is the most recent measurement report preceding the first measurement report; the channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

[0471] As one embodiment, the first transmitter 1302 transmits a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; the second measurement report is the most recent measurement report preceding the first measurement report; the first condition being met includes the first condition being met within a first time interval; the second condition being met includes the second condition being met within a second time interval; wherein the length of the first time interval is less than the length of the second time interval.

[0472] As one embodiment, the first receiver 1301 receives a first 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.

[0473] As one embodiment, the first receiver 1301 receives a first 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 first signaling configures a prediction time for the first cell and the second cell respectively, 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 the first cell or the second cell.

[0474] As one embodiment, the first receiver 1301 receives a first 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 first 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 receiver 1301 performs channel measurements for the first cell and the second cell respectively within the configured prediction time during a third time interval after the second measurement report is sent; wherein, the first measurement report includes the results of the channel measurements performed during the third time interval.

[0475] As one embodiment, the first receiver 1301 includes a receiver 454 (including an antenna 452) as shown in Figure 4 of this application, a receiver processor 456, a multi-antenna receiver processor 458, and a controller / processor 459.

[0476] As one embodiment, the first receiver 1301 includes at least one of the receiver 454 (including antenna 452) in Figure 4 of this application, a receiver processor 456, a multi-antenna receiver processor 458, or a controller / processor 459.

[0477] As one embodiment, the first transmitter 1302 includes the transmitter 454 (including antenna 452) in Figure 4 of this application, the transmission processor 468, the multi-antenna transmission processor 457 and the controller / processor 459.

[0478] As one embodiment, the first transmitter 1302 includes at least one of the transmitter 454 (including antenna 452) in Figure 4 of this application, a transmission processor 468, a multi-antenna transmission processor 457, or a controller / processor 459.

[0479] As one embodiment, the first processor 1303 includes the controller / processor 459 shown in Figure 4 of this application.

[0480] As an example, the first node 1300 further includes a second processor 1304 and a third processor 1305, wherein the second processor 1304 is optional.

[0481] As one embodiment, the second processor 1304 includes the controller / processor 459 shown in Figure 4 of this application.

[0482] As one embodiment, the third processor 1305 includes the controller / processor 459 shown in Figure 4 of this application.

[0483] Example 14

[0484] Example 14 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application, as shown in Figure 14. In Figure 14, the second node processing apparatus 1400 includes a second receiver 1401 and a second transmitter 1402. The second node 1400 is a base station.

[0485] In embodiment 14, the second receiver 1401 receives a first measurement report in the first cell when any condition in the first condition set is met; wherein the channel quality of the first cell and the channel quality of the second cell are measured respectively; the first condition set includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

[0486] As one embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; and the second measurement report is the most recent measurement report preceding the first measurement report.

[0487] As one embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; the second measurement report is the most recent measurement report preceding the first measurement report; the channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

[0488] As one embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in the second set of conditions is met; wherein the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; the second measurement report is the most recent measurement report preceding the first measurement report; the first condition being met includes the first condition being met within a first time interval; the second condition being met includes the second condition being met within a second time interval; wherein the length of the first time interval is less than the length of the second time interval.

[0489] As one embodiment, the second transmitter 1402 sends a first 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.

[0490] As one embodiment, the second transmitter 1402 transmits a first 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 first 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.

[0491] As one embodiment, the second transmitter 1402 transmits a first 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 through measurement of the measurement object for the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained through measurement of the measurement object for the second cell during the measurement time; the first 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; within a third time interval after the second measurement report is transmitted, channel measurements for the first cell and the second cell during the configured prediction time are performed, respectively; wherein, the first measurement report includes the results of the channel measurements performed during the third time interval.

[0492] As one embodiment, the second receiver 1401 includes the receiver 418 (including antenna 420) in Figure 4 of this application, the receiver processor 470, the multi-antenna receiver processor 472 and the controller / processor 475.

[0493] As one embodiment, the second receiver 1401 includes at least one of the receiver 418 (including antenna 420) in Figure 4 of this application, a receiver processor 470, a multi-antenna receiver processor 472, or a controller / processor 475.

[0494] As one embodiment, the second transmitter 1402 includes the transmitter 418 (including antenna 420) shown in Figure 4 of this application, the transmission processor 416, the multi-antenna transmission processor 471, and the controller / processor 475.

[0495] As one embodiment, the second transmitter 1402 includes at least one of the transmitter 418 (including antenna 420) in Figure 4 of this application, a transmission processor 416, a multi-antenna transmission processor 471, or a controller / processor 475.

[0496] As one embodiment, the second node 1400 further includes a fourth processor 1403, which is optional.

[0497] As one embodiment, the fourth processor 1403 includes the controller / processor 475 shown in Figure 4 of this application.

[0498] As an example, the fourth processor 1403 performs the functions of the second processor 1304.

[0499] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The first type of communication node or UE or terminal in this application includes, but is not limited to, mobile phones, tablets, laptops, network cards, low-power devices, eMTC (enhanced Machine Type Communication) devices, NB-IoT (Narrow Band Internet of Things) devices, vehicle communication devices, aircraft, drones, remote-controlled aircraft, and other wireless communication devices. The second type of communication node or base station or network-side equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, eNBs, gNBs, Transmission and Reception Points (TRPs), relay satellites, satellite base stations, airborne base stations, and testing equipment, such as transceivers simulating some functions of a base station, signaling testers, and other wireless communication equipment.

[0500] 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: The first receiver measures the channel quality of the first cell and the channel quality of the second cell. The first transmitter sends a first measurement report in the first cell when any condition in the first set of conditions is met. Wherein, the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

2. The first node according to claim 1, characterized in that, include: The first transmitter sends a second measurement report in the first cell when any condition in the second set of conditions is met. Wherein, the second set of conditions includes a second condition, the second condition being that the channel quality of the second cell is better than the channel quality of the first cell by more than a first threshold; at least one of the channel quality of the first cell and the channel quality of the second cell in the second condition is based on prediction; and the second measurement report is the most recent measurement report preceding the first measurement report.

3. The first node according to claim 2, characterized in that, The channel quality of the first cell in the second condition is based on prediction, and the first measurement report depends on the predicted channel quality of the first cell.

4. The first node according to claim 2 or 3, characterized in that, The first condition being satisfied includes the first condition being satisfied within a first time interval; the second condition being satisfied includes the second condition being satisfied within a second time interval. Wherein, the length of the first time interval is less than the length of the second time interval.

5. The first node according to any one of claims 1 to 4, characterized in that, include: The first receiver receives a first signaling message, 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.

6. The first node according to claim 5, characterized in that, The first 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.

7. The first node according to claim 6, characterized in that, include: The first receiver performs channel measurements for the first cell and the second cell respectively within the configured prediction time during a third time interval after the second measurement report is sent; The first measurement report includes the results of channel measurements performed during the third time interval.

8. A second node used for wireless communication, characterized in that, include: The second receiver receives the first measurement report in the first cell when any condition in the first set of conditions is met. In this process, the channel quality of the first cell and the channel quality of the second cell are measured respectively; the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell and the second cell is a neighboring cell.

9. A method used in a first node of wireless communication, characterized in that, include: Measure the channel quality of the first cell and the channel quality of the second cell; When any condition in the first set of conditions is met, a first measurement report is sent in the first cell. Wherein, the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell, and the second cell is a neighboring cell.

10. A method used in a second node for wireless communication, characterized in that, include: When any condition in the first set of conditions is met, the first measurement report is received in the first cell. In this process, the channel quality of the first cell and the channel quality of the second cell are measured respectively; the first set of conditions includes a first condition, which is that the measured channel quality of the second cell is better than the measured channel quality of the first cell by more than a first threshold; the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell; the first cell is a serving cell and the second cell is a neighboring cell.

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