Method and device for measurement reporting in wireless communication

Abstract

The invention discloses a method and a device for measurement reporting in wireless communication. The first node measures the channel quality of the first cell and the channel quality of the second cell; transmitting a first measurement report in the first cell when any one condition in the first condition set is satisfied; 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 and exceeds a first threshold value; 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 an adjacent cell. According to the method, the system robustness can be improved while channel measurement is effectively reduced.

Description

Technical Field

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

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

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

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

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

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

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

[0008] measuring a channel quality of a first cell and a channel quality of a second cell;

[0009] When any condition in the first condition set is met, sending a first measurement report in the first cell;

[0010] Among them, the first condition set 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.

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

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

[0013] As an embodiment, the first measurement report includes, 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 embodiment, 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 embodiment, 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 embodiment, 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 embodiment, 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 embodiment, 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 embodiment, the above method can indicate the channel quality prediction situation to the network by sending the first measurement report, so that the network can make a more accurate judgment.

[0020] According to one aspect of the present application, the features of the above method include:

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

[0022] The second condition set includes a second condition, wherein 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; 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 before the first measurement report.

[0023] As an 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 an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report depends on the second measurement report.

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

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

[0027] As an embodiment, the above method can save UE measurement overhead by predicting and obtaining channel quality.

[0028] According to one aspect of the present application, the features of the above method include:

[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 the present application, the features of the above method include:

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

[0032] The length of the first time interval is shorter than the length of the second time interval.

[0033] As an embodiment, 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 embodiment, in the above method, the length of the first time interval is shorter than the length of the second time interval, so that measurement reporting can be achieved more quickly.

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

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

[0037] According to one aspect of the present application, the features of the above method include:

[0038] receiving a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively;

[0039] At least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time.

[0040] According to one aspect of the present application, the features of the above method include:

[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 one cell at the prediction time according to at least one channel measurement value for one cell, or infers the channel quality for the one cell at the prediction time according to at least one channel measurement value for one cell;

[0042] The one cell is the first cell or the second cell.

[0043] According to one aspect of the present application, the features of the above method include:

[0044] In a third time interval after the second measurement report is sent, performing channel measurement on the first cell and the second cell respectively within the configured prediction time;

[0045] The first measurement report includes a result of channel measurement performed within the third time interval.

[0046] As an embodiment, the above method can effectively verify whether the prediction result included in the second measurement report is accurate by triggering additional channel measurement, so as to reduce the risk of the base station making unreasonable judgments.

[0047] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0048] When any condition in the first condition set is met, receiving a first measurement report in the first cell;

[0049] Among them, 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, 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 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 the present application, the features of the above method include:

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

[0052] The second condition set includes a second condition, wherein 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; 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 before the first measurement report.

[0053] According to one aspect of the present application, the features of the above method include:

[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 the present application, the features of the above method include:

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

[0057] The length of the first time interval is shorter than the length of the second time interval.

[0058] According to one aspect of the present application, the features of the above method include:

[0059] Sending a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively;

[0060] At least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time.

[0061] According to one aspect of the present application, the features of the above method include:

[0062] The first signaling configures prediction times for the first cell and the second cell respectively, and at least one channel prediction value for the one cell at the prediction time is inferred based on at least one channel measurement value for one cell, or the channel quality for the one cell at the prediction time is inferred based on at least one channel measurement value for one cell;

[0063] The one cell is the first cell or the second cell.

[0064] According to one aspect of the present application, the features of the above method include:

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

[0066] The first measurement report includes a result of channel measurement performed within the third time interval.

[0067] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0068] A first receiver, measuring a channel quality of a first cell and a channel quality of a second cell;

[0069] A first transmitter, when any condition in a first condition set is satisfied, sends a first measurement report in a first cell;

[0070] Among them, the first condition set 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.

[0071] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0072] a second receiver, receiving a first measurement report in a first cell when any condition in a first condition set is satisfied;

[0073] Among them, 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, 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 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0075] Figure 1 An example of a transmission flow chart of a first node according to an embodiment of the present application is provided;

[0076] Figure 2 A schematic diagram illustrating a network architecture according to an embodiment of the present application is illustrated;

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

[0078] Figure 4 A hardware module schematic diagram of a communication device according to an embodiment of the present application is illustrated;

[0079] Figure 5 An example of a wireless signal transmission flow chart according to an embodiment of the present application is provided;

[0080] Figure 6 A schematic diagram illustrating at least one channel measurement value, at least one channel prediction value and channel quality according to an embodiment of the present application;

[0081] Figure 7 A schematic diagram illustrating the relationship between a channel measurement value, a channel prediction value and a channel quality according to an embodiment of the present application is illustrated;

[0082] Figure 8 A schematic diagram illustrating the relationship among measurement time, channel measurement value, prediction time and channel prediction value according to an embodiment of the present application;

[0083] Fig. 9 A schematic diagram illustrating the relationship between a first time interval and a second time interval according to an embodiment of the present application;

[0084] Fig.10 A schematic diagram illustrating a third time interval and channel measurement according to an embodiment of the present application;

[0085] Fig.11 A schematic diagram illustrating an artificial intelligence processing system according to an embodiment of the present application is illustrated;

[0086] Fig.12 An example of an artificial intelligence-based schematic diagram according to an embodiment of the present application is provided;

[0087] Fig.13 An example structural block diagram of a processing device in a first node according to an embodiment of the present application is shown;

[0088] Fig.14 The structural block diagram of the processing device in the second node according to an embodiment of the present application is illustrated. DETAILED DESCRIPTION

[0089] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, in the absence of conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0090] Example 1

[0091] Embodiment 1 illustrates a transmission flow chart of a first node according to an embodiment of the present application, as shown in the attached Figure 1 shown.

[0092] In embodiment 1, the first node 100 measures the channel quality of the first cell and the channel quality of the second cell in step 101; in step 102, when any condition in the first condition set is met, a first measurement report is sent in the first cell; wherein the first condition set includes 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 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 embodiment, the channel quality of the first cell and the channel quality of the second cell are measured respectively.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0114] As an embodiment, the second cell is a handover candidate cell.

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

[0116] As an embodiment, the first condition set includes at least one condition.

[0117] As an embodiment, any condition included in the first condition set is based on measurement.

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

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

[0120] As an embodiment, the first measurement report is MeasurementReport (measurement report).

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

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

[0123] As an embodiment, the first condition set includes 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 exceeding a first threshold.

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

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

[0126] As an embodiment, 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, which includes: the measured channel quality of the second cell is better than the measured channel quality of the first cell, and the difference between the measured channel quality of the second cell and the measured channel quality of the first cell is greater than the first threshold.

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

[0128] As an embodiment, the measured channel quality of the second cell is better than the measured channel quality of the first cell by exceeding a first threshold, which 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 is greater than the first threshold; wherein the first offset and the second offset are respectively configured by the network.

[0129] As an embodiment, the measured channel quality of the second cell is better than the measured channel quality of the first cell and exceeds the first threshold value, including: 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 (hysteresis parameter) configured for the first condition.

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

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

[0132] As a sub - example of the above example, the sum of the measured channel quality of the second cell plus a third offset is greater than the second threshold, and the sum of the measured channel quality of the first cell plus 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 - example of the above example, Mn + Ofn + Ocn – Hys > Thresh2, and Mp + Hys < Thresh1; where Mn is the measured channel quality of the second cell without offset, Ofn is the specific offset configured for the measurement object of the second cell, Ocn is the specific offset configured for the second cell, Hys is the configured hysteresis parameter, Thresh2 is the second threshold, Mp is the measured channel quality of the first cell without offset, and Thresh1 is the third threshold.

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

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

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

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

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

[0139] As an example, 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 example, the first measurement report includes the event that triggers the first measurement report.

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

[0142] As an embodiment, the A3 event or the A5 event indicates that a condition for switching of the measured cell is met.

[0143] As an embodiment, the first measurement report indicates that a condition for switching from the first cell to the second cell is met.

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

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

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

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

[0148] As an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report is related to at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell.

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

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

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

[0152] As an embodiment, the predicted channel quality is the predicted channel quality before the first measurement report is sent.

[0153] As an embodiment, the predicted channel quality reflects the channel quality before the first measurement report is sent.

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

[0155] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is not obtained through channel measurement.

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

[0157] As an embodiment, the predicted channel quality is obtained through channel prediction, including: the predicted channel quality is obtained through AI model prediction.

[0158] As an embodiment, the predicted channel quality is obtained by channel prediction, including: the predicted channel quality is obtained by inferring at least one channel measurement value in at least one of the time domain, frequency domain and spatial domain.

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

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

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

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

[0163] As an embodiment, channel prediction relies on channel measurement.

[0164] As an embodiment, channel prediction includes inferring channel quality based on a result of channel measurement.

[0165] As an embodiment, the channel prediction is in the time domain.

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

[0167] As an embodiment, channel prediction is in the spatial domain.

[0168] As an embodiment, channel prediction includes implementation through interpolation calculation.

[0169] As an embodiment, channel prediction includes implementation through an AI / ML (machine learning) model.

[0170] Example 2

[0171] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown. Figure 2A diagram illustrating a network architecture 200 for NR 5G, LTE (Long-Term Evolution) and LTE-A (Long-Term Evolution Advanced) systems. The NR 5G, LTE or LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable terminology. The 5GS / EPS 200 may include one or more UEs (User Equipment) 201, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. The 5GS / EPS may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, 5GS / EPS provides packet switching services, but it will be readily understood by those skilled in the art that the various concepts presented throughout this application can be extended to networks providing circuit switching services or other cellular networks. NG-RAN includes NR Node B (gNB) 203 and other gNBs 204. gNB 203 provides user and control plane protocol terminations toward UE 201. gNB 203 can be connected to other gNBs 204 via an Xn interface (e.g., a backhaul link). The XnAP protocol of the Xn interface is used to transmit control plane messages of the wireless network, and the user plane protocol of the Xn interface is used to transmit user plane data. gNB 203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmission Reception Point, a sending and receiving node) or some other suitable term. In a NTN (Non Terrestrial Network, a non-terrestrial / satellite network) network, gNB 203 may be a satellite, an aircraft, or a ground base station relayed by a satellite. gNB203 provides an access point to 5GC / EPC210 for UE201.Examples of UE 201 include cellular phones, smart phones, Session Initiation Protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, cars, vehicle-mounted devices, vehicle-mounted communication units, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. gNB203 is connected to 5GC / EPC210 via S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212 and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is the control node that handles signaling between UE201 and 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, which itself is connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and PS (Packet Switching) streaming services.

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

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

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

[0175] As an embodiment, the gNB203 is a macro cell base station.

[0176] As an embodiment, the gNB203 is a micro cell base station.

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

[0178] As an embodiment, the gNB203 is a home base station (Femtocell).

[0179] As an embodiment, the gNB203 is a base station device that supports large delay difference.

[0180] As an embodiment, the gNB203 is a flying platform device.

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

[0182] As an embodiment, the gNB203 is a base station device that supports large delay difference.

[0183] As an embodiment, the gNB203 is a testing device (e.g., a transceiver that simulates some functions of a base station, a signaling tester).

[0184] As an embodiment, the wireless link from the UE201 to the gNB203 is an uplink, and the uplink is used to perform uplink transmission.

[0185] As an embodiment, the wireless link from the gNB203 to the UE201 is a downlink, and the downlink is used to perform downlink transmission.

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

[0187] Example 3

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

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

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

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

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

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

[0194] As an embodiment, the first signaling in the present application is generated in the RRC306.

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

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

[0197] Example 4

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

[0199] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0200] The second communication device 410 includes a controller / processor 475, a memory 476, a data source 477, a receive processor 470, a transmit processor 416, a multi-antenna receive processor 472, a multi-antenna transmit processor 471, a transmitter / receiver 418 and an antenna 420.

[0201] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, the upper layer data packets from the core network or the upper layer data packets from the data source 477 are provided to the controller / processor 475. The core network and the data source 477 represent all the protocol layers above the L2 layer. The controller / processor 475 implements the functionality of the L2 layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for the retransmission of lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, as well as mapping of signal constellations 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)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to a subcarrier, multiplexes it with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

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

[0203] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, the upper layer data packets are provided to the controller / processor 459 using the data source 467. The data source 467 represents all the protocol layers above the L2 layer. Similar to the transmission function at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels, and implements L2 layer functions for user plane and control plane. The controller / processor 459 is also responsible for the retransmission of lost packets and signaling to the second communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0204] In the transmission from the first communication device 450 to the second communication device 410, the functions at the second communication device 410 are similar to the reception functions at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the first communication device 450. The upper layer data packets from the controller / processor 475 may be provided to the core network or all protocol layers above the L2 layer, and various control signals may also be provided to the core network or L3 for L3 processing.

[0205] As an embodiment, the first communication device 450 apparatus includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor, and the first communication device 450 apparatus at least: measures the channel quality of the first cell and the channel quality of the second cell; when any condition in the first condition set is met, sends a first measurement report in the first cell; wherein the first condition set 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.

[0206] As an embodiment, the first communication device 450 apparatus includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: measuring the channel quality of the first cell and the channel quality of the second cell; when any condition in the first condition set is met, sending a first measurement report in the first cell; wherein the first condition set includes 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 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 service cell, and the second cell is a neighboring cell.

[0207] As an embodiment, the second communication device 410 apparatus includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 410 apparatus at least: when any condition in the first condition set is satisfied, receives a first measurement report in the first cell; 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, 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.

[0208] As an embodiment, the second communication device 410 apparatus includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates an action when executed by at least one processor, and the action includes: when any condition in a first condition set is met, receiving a first measurement report in a first cell; 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, 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 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 service cell, and the second cell is a neighboring cell.

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

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

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

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

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

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

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

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

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

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

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

[0220] As an embodiment, at least one of the antenna 420, the transmitter 418, the multi-antenna transmit processor 471, the transmit processor 416 or the controller / processor 475 is used to send the first signaling in the present application.

[0221] As an embodiment, at least one of the antenna 452, the receiver 454, the multi-antenna receiving processor 458, the receiving processor 456 or the controller / processor 459 is used to receive the first signaling in the present application.

[0222] Example 5

[0223] Embodiment 5 illustrates a wireless signal transmission flow chart according to an embodiment of the present application, as shown in the attached Figure 5 As shown in the attached Figure 5 In the example, the first node N51 and the second node N52 communicate via a wireless interface. It should be noted that the order in this example does not limit the signal transmission order and implementation order in this application.

[0224] for First node N51 , receiving the first signaling in step S511; determining in step S512 that any condition in the second condition set is satisfied; sending the second measurement report in step S513; determining in step S514 that any condition in the first condition set is satisfied; sending the first measurement report in step S515.

[0225] for Second node N52 , sending a first signaling in step S521; receiving a second measurement report in step S522; and receiving the first measurement report in step S523.

[0226] In embodiment 5, the channel quality of the first cell and the channel quality of the second cell are measured; when any condition in the first condition set is met, a first measurement report is sent in the first cell; wherein the first condition set 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; when any condition in the second condition set is met, a second measurement report is sent in the first cell; wherein the second condition set 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; The channel quality of the first cell is better than the 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 before 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; receiving a first signaling, the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time.

[0227] As an embodiment, the second node N52 is a base station maintaining a serving cell of the first node N51.

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

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

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

[0231] As an embodiment, the second node N52 is a MgNB (master gNB).

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

[0233] As an embodiment, the first node N51 and the second node N52 are transmitted through at least the first cell.

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

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

[0236] As an embodiment, the second condition set includes at least one condition.

[0237] As an embodiment, any condition included in the second condition set is based on prediction.

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

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

[0240] As an embodiment, the second condition set includes a second condition.

[0241] As an embodiment, 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 embodiment, a feature that distinguishes the second condition from the first condition is 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 an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on prediction, and the channel quality of the second cell is based on measurement.

[0244] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on measurement, and the channel quality of the second cell is based on prediction.

[0245] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell is based on prediction, including: the channel quality of the first cell is based on prediction, and the channel quality of the second cell is based on prediction.

[0246] As an embodiment, a channel quality of a cell is based on prediction and includes: a channel quality of a cell is obtained by channel prediction.

[0247] As an embodiment, a channel quality of a cell is based on prediction and includes: a channel quality of a cell is obtained by channel measurement and channel prediction.

[0248] As an embodiment, the channel quality of a cell is obtained through channel measurement and channel prediction, including: obtaining a channel measurement value by measuring the channel of a cell, obtaining a channel prediction value by reasoning at least part of the channel measurement value, and obtaining the channel quality of the cell after filtering the channel measurement value and the channel prediction value.

[0249] As an embodiment, obtaining the channel quality of a cell through channel measurement and channel prediction includes: obtaining a channel measurement value through channel measurement for a cell, and obtaining the channel quality of the cell through reasoning at least part of the channel measurement value.

[0250] As an embodiment, the second condition set includes that the channel quality of the second cell is better than the second threshold, and the channel quality of the first cell is 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-embodiment 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 an embodiment, the second condition set includes determining that a condition for switching from the first cell to the second cell is met based on the channel quality of the first cell and the channel quality of the second cell; wherein at least one of the channel quality of the second cell and the channel quality of the first cell is based on prediction.

[0253] As an 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 embodiment, the second measurement report indicates that a criterion of a measurement reporting event is met, and the measurement reporting event is A3' or A5'.

[0255] As an embodiment, the A3' event or the A5' event indicates that a predicted cell switching condition is met.

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

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

[0258] As a sub-embodiment of the above embodiment, the triggering time (time to trigger) of triggering the A3 event and triggering the A3' event are different.

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

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

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

[0262] As a sub-embodiment of the above embodiment, the triggering time (time to trigger) of triggering the A5 event and triggering the A5' event are different.

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

[0264] As an embodiment, the second measurement report indicates that a condition for switching from the first cell to the second cell is met based on predicted channel quality.

[0265] As an embodiment, at least one of the channel quality of the first cell and the channel quality of the second cell included in the second measurement report indication is based on prediction.

[0266] As an embodiment, the triggering of the second measurement report is based on the predicted cell channel quality.

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

[0268] As a sub-embodiment of the above two embodiments, the above method can indicate the channel quality change trend of the cell to the base station in advance, so that the base station can make a timely response.

[0269] As an embodiment, the triggering of the second measurement report is based on the predicted cell channel quality, including predicting that a condition for switching from the first cell to the second cell is met.

[0270] As an embodiment, the condition for switching from the first cell to the second cell is configured by the network.

[0271] As an embodiment, the triggering of the second measurement report is based on the predicted cell channel quality, including the prediction of an A3' event.

[0272] As an embodiment, the triggering of the second measurement report is based on the predicted cell channel quality, including the prediction of an A5' event.

[0273] As an embodiment, the second measurement report is a most recent measurement report before the first measurement report.

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

[0275] As an embodiment, the second measurement report and the first measurement report are for the same measurement identifier (MeasId).

[0276] As an embodiment, one measurement identifier indicates one measurement object and one reporting configuration.

[0277] As an embodiment, 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 embodiment, 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 an embodiment, the measurement object includes information used for measurement.

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

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

[0282] As a sub-embodiment of the above embodiment, the information applied for measurement includes smtc (SS / PBCH block measurement timing configuration, SS / PBCH block measurement timing configuration).

[0283] As a sub-embodiment of the above embodiment, the information applied for measurement includes reference signal configuration.

[0284] As a sub-embodiment of the above embodiment, the information applied for measurement includes a measured cell.

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

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

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

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

[0289] As a sub-embodiment of the above embodiment, 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 reporting the first measurement report and the channel quality of the first cell predicted when reporting the second measurement report is greater than a preset value, and the preset value is configurable or pre-configured; the channel quality is RSRP, or RSRQ, or SINR.

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

[0291] As a sub-embodiment 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-embodiment of the above embodiment, the first measurement report includes at least one channel quality reference value, and the at least one channel quality reference value includes the difference between the channel quality of the second cell measured when reporting the first measurement report and the channel quality of the second cell predicted when reporting the second measurement report; wherein the channel quality is RSRP, or RSRQ, or SINR.

[0293] As a sub-embodiment 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 reporting the first measurement report and the channel quality of the second cell predicted when reporting the second measurement report is greater than a preset value, and the preset value is configurable or pre-configured; the channel quality is RSRP, or RSRQ, or SINR.

[0294] As an embodiment, the first measurement report depends on at least one of the predicted channel quality of the first cell or the predicted channel quality of the second cell, including: the first measurement report is associated with the second measurement report.

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

[0296] As a sub-embodiment of the above embodiment, 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-embodiment of the above embodiment, the triggering of the first measurement report depends on the sending of the second measurement report.

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

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

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

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

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

[0303] As an embodiment, the first signaling is high-layer signaling.

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

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

[0306] As an embodiment, the first signaling includes MeasConfig (measurement configuration) IE.

[0307] As an embodiment, the first signaling includes MeasObjectToAddModList (measurement object add modification list).

[0308] As an embodiment, the first signaling includes MeasIdToAddModList (measurement identifier add modification list).

[0309] As an embodiment, the first signaling indicates the first cell and configures a measurement object for the first cell.

[0310] As an embodiment, the first signaling indicates the second cell and configures a measurement object for the second cell.

[0311] As an embodiment, the parameters for configuring the measurement object include information of SS (Synchronization Signals) / PBCH (Physical Broadcast Channel) block intra-frequency / inter-frequency measurement.

[0312] As an embodiment, the parameters for configuring the measurement object include information of CSI-RS intra-frequency / inter-frequency measurement.

[0313] As an embodiment, the parameters for configuring the measurement object include measurement frequency information.

[0314] As an embodiment, the parameters for configuring the measurement object include measurement time information.

[0315] As an embodiment, the parameters for configuring the measurement object include a measurement period.

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

[0317] As an embodiment, the first signaling includes ReportConfigToAddModList (report configuration to add modification list).

[0318] As an embodiment, the parameters for configuring the measurement reporting include criteria for triggering a measurement reporting event.

[0319] As an embodiment, configuring the measurement reporting parameters includes triggering the measurement reporting period.

[0320] As an embodiment, a measurement report of a cell is associated with a measurement object of the cell.

[0321] As a sub-embodiment of the above embodiment, the measurement report of one cell includes a result obtained by performing channel measurement on a measurement object of the one cell.

[0322] As a sub-embodiment of the above embodiment, the measurement report of one cell includes a result obtained by performing channel prediction on a measurement object of the one cell.

[0323] As an embodiment, at least one channel measurement value for the first cell is obtained by measuring the measurement object of the first cell during the measurement time.

[0324] As an embodiment, at least one channel measurement value for the second cell is obtained by measuring the measurement object of the second cell during the measurement time.

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

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

[0327] As an example, one channel measurement is the signal-to-noise and interference ratio.

[0328] As an embodiment, after any condition in the second set of conditions based on prediction is met and triggers the second measurement report, the first node starts measuring channel quality and triggers the first measurement report when any condition in the first set of conditions based on measurement is met.

[0329] Example 6

[0330] Embodiment 6 illustrates a schematic diagram of at least one channel measurement value, at least one channel prediction value and channel quality according to an embodiment of the present application, as shown in the attached figure. Figure 6 Attached Figure 6 In the embodiment, the first processor is located at the first node.

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

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

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

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

[0335] As an embodiment, at least one channel prediction value is obtained by inferring at least one channel measurement value in at least one of the time domain, frequency domain and spatial domain.

[0336] As an embodiment, at least one channel prediction value on the time domain resources included in the second time length is inferred from at least one channel measurement value measured on the time domain resources included in the first time length; wherein the time domain resources included in the first time length are earlier than the time domain resources included in the second time length.

[0337] As a sub-embodiment of the above embodiment, the time domain resources included in the first time length include the measurement time configured by the first signaling; and the time domain resources included in the second time length include the prediction time configured by the first signaling.

[0338] As an embodiment, at least one channel prediction value on a second frequency domain resource set is inferred from at least one channel measurement value measured on a first frequency domain resource set; wherein the frequency domain resources included in the first frequency domain resource set and the frequency domain resources included in the second frequency domain resource set are at least partially different.

[0339] As an embodiment, at least one channel prediction value on a second beam set is inferred from at least one channel measurement value measured on a first beam set; wherein the first beam set and the second beam set are orthogonal, and the first beam set and the second beam set respectively include at least one beam.

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

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

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

[0343] In case B of embodiment 6, the first processor infers the channel quality for one cell based on at least one channel measurement value for the one cell.

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

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

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

[0347] Example 7

[0348] Embodiment 7 illustrates a schematic diagram of the relationship between the channel measurement value, the channel prediction value and the channel quality according to an embodiment of the present application, as shown in the attached figure. Figure 7 shown.

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

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

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

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

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

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

[0355] As an embodiment, a method for implementing the layer 3 filtering is: Q1=α×Q0+β×M; wherein 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] Embodiment 8 illustrates a schematic diagram of the relationship among the measurement time, channel measurement value, prediction time and channel prediction value according to an embodiment of the present application, as shown in the attached figure. Figure 8 As shown in the attached Figure 8 In the figure, the solid rectangular box represents the channel measurement value, and the dotted rectangular box represents the channel prediction value.

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

[0359] As an embodiment, the channel prediction value at the prediction time depends on at least one of the channel measurement value before the channel prediction time and the channel prediction value before the channel prediction time.

[0360] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel measurement value before the channel prediction time.

[0361] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel prediction value before the channel prediction time.

[0362] As a sub-embodiment of the above embodiment, at least one channel prediction value at the prediction time is inferred based on at least one channel measurement value before the channel prediction time and at least one channel prediction value before the channel prediction time.

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

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

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

[0366] As an embodiment, 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 embodiment, the channel quality corresponding to each measurement period included in the prediction time is obtained based on prediction.

[0368] As an embodiment, the measurement time and the prediction time are orthogonal.

[0369] As an 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-embodiment of the above embodiment, the above method can improve the accuracy of channel quality prediction.

[0371] As an 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-embodiment of the above embodiment, the above method can timely determine the accuracy of channel prediction.

[0373] Attached Figure 8 The diagram shows alternating measurement time and prediction time, where two channel measurement values ​​are obtained in one measurement time interval; and three channel prediction values ​​in one prediction time interval are obtained based on the prediction.

[0374] As an embodiment, the time intervals for obtaining two adjacent channel measurement values, adjacent channel measurement values ​​and channel prediction values, and two adjacent channel prediction values ​​are the same, which is a channel measurement cycle.

[0375] Example 9

[0376] Embodiment 9 illustrates a schematic diagram of the relationship between the first time interval and the second time interval according to an embodiment of the present application, as shown in the attached figure. Fig. 9 Attached Fig. 9 In the figure, the solid rectangular box represents the channel quality in the first time interval, and the dotted rectangular box represents the channel quality in the second time interval.

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

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

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

[0380] As an embodiment, the first time interval is a triggering time of the first measurement report.

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

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

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

[0384] As an embodiment, the second time interval is a triggering time of the second measurement report.

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

[0386] As an embodiment, the time domain resources included in the first time interval closely follow the time domain resources included in the second time interval.

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

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

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

[0390] As an embodiment, the first time interval and the second time interval respectively include a positive integer number of channel measurement cycles.

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

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

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

[0394] Example 10

[0395] Embodiment 10 illustrates a schematic diagram of a third time interval and channel measurement according to an embodiment of the present application, as shown in the attached figure. Fig.10 shown.

[0396] As an 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 measurement is performed on the first cell and the second cell respectively within the configured predicted time.

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

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

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

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

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

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

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

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

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

[0406] As an embodiment, the first measurement report includes a result of performing channel measurement within the third time interval.

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

[0408] As an embodiment, the measured 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] Attached Fig.10 The upper part shows the measurement time and prediction time configured according to the first signaling, and the attached Fig.10 The lower half of shows that after the second measurement report is sent, channel measurement is performed within a predicted time in the configured third time interval.

[0410] Embodiment 11

[0411] Embodiment 11 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of the present application, as shown in the attached Fig.11 Attached Fig.11 The invention comprises a first processor, a second processor and a third processor. In embodiment 11, the third processor sends a first data set to the second processor and sends a second data set to the first processor; the second processor generates a target parameter group according to the first data set, and the second processor sends the generated target parameter group to the first processor; the first processor processes the second data set using the target parameter group to obtain a first type of output. Fig.11 In the first category, feedback is optional.

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

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

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

[0415] As an embodiment, the first data set and the second data set are obtained by performing measurements on a cell on different time domain resources.

[0416] As an embodiment, the first data set and the second data set are obtained by performing measurements on a cell on different frequency domain resources.

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

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

[0419] As an embodiment, the first data set includes training data.

[0420] As an embodiment, the second processor is trained according to the input first data set, and the trained model is described by the target parameter group.

[0421] As an 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 calculation burden of the UE.

[0423] As an 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 embodiment, the target parameter group is input to the first processing machine.

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

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

[0428] As an embodiment, the second data set includes inference data.

[0429] As an embodiment, the first processing machine constructs a model according to the target parameter group, and inputs the second data set into the constructed model to obtain the first type of output.

[0430] As an embodiment, different target parameter groups can construct different models, and the corresponding first type outputs are also different.

[0431] As an embodiment, the target parameter group includes at least one of layer 1 filter coefficients, layer 3 filter coefficients, cell switching judgment criteria, interpolation algorithms, filtering algorithms and prediction algorithms.

[0432] As an embodiment, the target parameter group includes at least one of parameters of an interpolation algorithm, parameters of a filtering algorithm and parameters of a prediction algorithm.

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

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

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

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

[0437] As an embodiment, the first type of output is whether the predicted cell switching condition is met.

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

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

[0440] As an embodiment, the first processing machine generates the first type of feedback based on the first type of output and an error of the measured output.

[0441] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor will recalculate the target parameter group.

[0442] Example 12

[0443] Embodiment 12 illustrates a schematic diagram based on artificial intelligence according to an embodiment of the present application, as shown in the attached Fig.12 Attached Fig.12 It includes five operations: ML training, ML testing, ML emulation, ML entity loading, and AI / ML inference. In Example 12, the ML training and the ML testing belong to the training phase, the ML emulation belongs to the simulation phase, the ML entity loading belongs to the deployment phase, and the AI / ML inference belongs to the inference phase. Fig.12 In the diagram, the lines with arrows indicate the sequence of the processes.

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

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

[0446] As an embodiment, the ML training relies on training data.

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

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

[0449] As an embodiment, the ML entity verification relies on verification data.

[0450] As an example, if the result of the ML entity verification does not meet expectations, the ML entity will be retrained.

[0451] As an embodiment, the ML testing includes testing the validated ML entity to estimate the performance obtained by training.

[0452] As an example, if the result of the ML test meets expectations, the ML entity proceeds to the next stage; otherwise the ML entity will be retrained.

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

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

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

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

[0457] As an embodiment, the ML entity loading is to obtain the trained ML entity to obtain the desired ML reasoning function.

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

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

[0460] As an embodiment, the AI / ML reasoning function includes a prediction function.

[0461] As an embodiment, the AI / ML reasoning includes inferring at least one channel prediction value for one cell based on at least one channel measurement value for the one cell.

[0462] As an embodiment, the AI / ML reasoning includes inferring a channel quality for one cell based on at least one channel measurement value for the one cell.

[0463] As an embodiment, the AI / ML reasoning includes predicting that a condition for switching from the first cell to the second cell is met.

[0464] As an embodiment, the AI / ML reasoning includes predicting, before sending the second measurement report, that the channel quality of the second cell is better than the channel quality of the first cell by more than the first threshold.

[0465] Unless otherwise specified in this application, all reasoning behaviors are completed by the AI / ML reasoning.

[0466] Example 13

[0467] Embodiment 13 illustrates a structural block diagram of a processing device in a first node according to an embodiment of the present application, as shown in the attached figure. Fig.13 As shown in the attached Fig.13 In the embodiment, the first node processing device 1300 includes a first receiver 1301, a first transmitter 1302 and a first processor 1303. The first node 1300 is a UE.

[0468] In Example 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 sends a first measurement report in the first cell when any condition in a first condition set is met; wherein the first condition set includes 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 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 embodiment, the first transmitter 1302 sends a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before the first measurement report.

[0470] As an embodiment, the first transmitter 1302 sends a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before 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 an embodiment, the first transmitter 1302 sends a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before the first measurement report; the first condition is met including that the first condition is met within a first time interval; the second condition is met including that the second condition is 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 an embodiment, the first receiver 1301 receives a first signaling, and the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time.

[0473] As an embodiment, the first receiver 1301 receives a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of 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 one cell during the prediction time based on at least one channel measurement value for one cell, or infers the channel quality for the one cell during the prediction time based on at least one channel measurement value for one cell; wherein the one cell is the first cell or the second cell.

[0474] As an embodiment, the first receiver 1301 receives a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of 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 one cell during the prediction time based on at least one channel measurement value for one cell, or infers the channel quality for the one cell during the prediction time based on at least one channel measurement value for one cell; wherein the one cell is the first cell or the second cell; the first receiver 1301 performs channel measurement for the first cell and the second cell respectively within the configured prediction time within a third time interval after the second measurement report is sent; wherein the first measurement report includes the result of the channel measurement performed within the third time interval.

[0475] As an embodiment, the first receiver 1301 includes the attached Figure 4 The receiver 454 (including antenna 452), receive processor 456, multi-antenna receive processor 458 and controller / processor 459.

[0476] As an embodiment, the first receiver 1301 includes the attached Figure 4 At least one of the receiver 454 (including antenna 452), receive processor 456, multi-antenna receive processor 458 or controller / processor 459.

[0477] As an embodiment, the first transmitter 1302 includes the attached Figure 4 The transmitter 454 (including antenna 452), transmit processor 468, multi-antenna transmit processor 457 and controller / processor 459.

[0478] As an embodiment, the first transmitter 1302 includes the attached Figure 4 At least one of the transmitter 454 (including antenna 452), the transmit processor 468, the multi-antenna transmit processor 457 or the controller / processor 459.

[0479] As an embodiment, the first processor 1303 includes the attached Figure 4 Controller / processor 459 in.

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

[0481] As an embodiment, the second processor 1304 includes the attached Figure 4 Controller / processor 459 in.

[0482] As an embodiment, the third processor 1305 includes the attached Figure 4 Controller / processor 459 in.

[0483] Embodiment 14

[0484] Embodiment 14 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application, as shown in the attached Fig.14 As shown in the attached Fig.14 In the embodiment, the second node processing device 1400 includes a second receiver 1401 and a second transmitter 1402. The second node 1400 is a base station.

[0485] In Example 14, the second receiver 1401 receives a first measurement report in a first cell when any condition in a 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, 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 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 an embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before the first measurement report.

[0487] As an embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before 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 an embodiment, the second receiver 1401 receives a second measurement report in the first cell when any condition in a second condition set is met; wherein the second condition set includes a second condition, and 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; 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 before the first measurement report; the first condition is met including that the first condition is met within a first time interval; the second condition is met including that the second condition is 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 an embodiment, the second transmitter 1402 sends a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein, at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time.

[0490] As an embodiment, the second transmitter 1402 sends a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time; the first signaling configures a prediction time for the first cell and the second cell respectively, and at least one channel prediction value for the one cell during the prediction time is inferred based on at least one channel measurement value for one cell, or, the channel quality for the one cell during the prediction time is inferred based on at least one channel measurement value for one cell; wherein the one cell is the first cell or the second cell.

[0491] As an embodiment, the second transmitter 1402 sends a first signaling, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; wherein at least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of the second cell during the measurement time; the first signaling configures a prediction time for the first cell and the second cell respectively, and at least one channel prediction value for the one cell during the prediction time is inferred based on at least one channel measurement value for one cell, or, the channel quality for the one cell during the prediction time is inferred based on at least one channel measurement value for one cell; wherein the one cell is the first cell or the second cell; within a third time interval after the second measurement report is sent, channel measurements for the first cell and the second cell within the configured prediction time are performed respectively; wherein the first measurement report includes the result of the channel measurement performed within the third time interval.

[0492] As an embodiment, the second receiver 1401 includes the attached Figure 4 The receiver 418 (including antenna 420), receive processor 470, multi-antenna receive processor 472 and controller / processor 475.

[0493] As an embodiment, the second receiver 1401 includes the attached Figure 4 At least one of the receiver 418 (including the antenna 420), the receive processor 470, the multi-antenna receive processor 472 or the controller / processor 475.

[0494] As an embodiment, the second transmitter 1402 includes the attached Figure 4 The transmitter 418 (including antenna 420), transmit processor 416, multi-antenna transmit processor 471 and controller / processor 475.

[0495] As an embodiment, the second transmitter 1402 includes the attached Figure 4 At least one of the transmitter 418 (including antenna 420), the transmit processor 416, the multi-antenna transmit processor 471 or the controller / processor 475.

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

[0497] As an embodiment, the fourth processor 1403 includes the attached Figure 4 Controller / processor 475 in.

[0498] As an embodiment, the fourth processor 1403 completes the function of the second processor 1304.

[0499] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software functional module. The present application is not limited to any specific form of combination of software and hardware. The first type of communication node or UE or terminal in the present application includes but is not limited to mobile phones, tablet computers, notebooks, Internet cards, low-power devices, eMTC (enhanced Machine Type Communication) equipment, NB-IoT equipment, vehicle-mounted communication equipment, aircraft, airplanes, drones, remote-controlled aircraft and other wireless communication equipment. The second category of communication nodes or base stations or network-side devices in the present application include but are not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, eNBs, gNBs, transmission and reception nodes TRP (Transmission and Reception Point), relay satellites, satellite base stations, aerial base stations, test equipment, such as transceivers that simulate some functions of base stations, signaling testers and other wireless communication equipment.

[0500] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that: include: A first receiver, measuring a channel quality of a first cell and a channel quality of a second cell; A first transmitter, when any condition in a first condition set is satisfied, sends a first measurement report in a first cell; Among them, the first condition set 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.

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 a second condition set is met; The second condition set includes a second condition, wherein 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; 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 before 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 that the first condition is satisfied within a first time interval; the second condition being satisfied includes that the second condition is satisfied within a second time interval; The length of the first time interval is shorter 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, wherein the first signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; At least one channel measurement value for the first cell is obtained by measuring the measurement object of 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 of 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 one cell at the prediction time according to at least one channel measurement value for one cell, or infers the channel quality for the one cell at the prediction time according to at least one channel measurement value for one cell; The one cell is the first cell or the second cell.

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

8. A second node used for wireless communication, characterized in that: include: a second receiver, receiving a first measurement report in a first cell when any condition in a first condition set is satisfied; Among them, 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, 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 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 in a first node for wireless communication, characterized in that: include: measuring a channel quality of a first cell and a channel quality of a second cell; When any condition in the first condition set is met, sending a first measurement report in the first cell; Among them, the first condition set 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.

10. A method in a second node for wireless communication, characterized in that: include: When any condition in the first condition set is met, receiving a first measurement report in the first cell; Among them, 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, 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 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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