Method and device used for wireless communication

Abstract

The invention discloses a method and a device used for wireless communication. The communication node receives the first message; the first message indicates a first time window; sending the first signaling; the first signaling indicates the predicted data volume; the first signaling dependency at least predicts that there is first data within the first time window. The method provided by the invention is beneficial to shortening the resource scheduling time delay and improving the UE service quality.

Description

TECHNICAL FIELD

[0001] The present application relates to a transmission method and device in a wireless communication system, in particular to a data volume reporting method and device. BACKGROUND

[0002] In the prior art, a UE (User Equipment) requests uplink (UL) resources through a BSR (Buffer Status Report) process. When the BSR is triggered, the UE sends a BSR MAC (Medium Access Control) CE (Control Element) to the base station, and the base station schedules uplink resources for the UE according to the data volume indicated by the BSR MAC CE.

[0003] In NR (New Radio) R (release) 18, the research on AI (Artificial Intelligence) / ML (Machine Learning) technology is commissioned to explore its impact on system performance and system design. In future 6G communication, AI / ML technology may also play an important role. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and / or inference and / or needing to be deployed. According to 3GPP (the 3rd Generation Partnership Project) standard TS38.300, AI / ML models and algorithms are beyond the scope of 3GPP. SUMMARY

[0004] The applicant found through research that the existing BSR process has a certain resource scheduling delay, and especially when AI / ML technology is introduced, the existing BSR process cannot fully utilize the advantages and characteristics of AI / ML technology, and there is optimization space, so it is necessary to enhance the data volume reporting mechanism. To solve the above problems, the present application provides a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as XR transmission. Although a large number of embodiments of the present application are developed for uplink, the present application is also applicable to other schemes, such as sidelink or IAB (Integrated Access and Backhaul) transmission. Although the present application describes some AI / ML models and algorithms in the specification, those skilled in the art know that these descriptions are not necessary or irreplaceable for wireless cellular communication related solutions. In addition, adopting a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional channel decoding schemes) helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0005] As an embodiment, the explanation of the terms in the present application is based on the definition of the 3GPP specification protocol TS38 series.

[0006] As an embodiment, the explanation of the terms in the present application is based on the definition of the 3GPP specification protocol TS28 series.

[0007] The present application discloses a method in a first node used for wireless communication, characterized in that it comprises:

[0008] receiving a first message; wherein the first message indicates a first time window;

[0009] sending a first signaling;

[0010] wherein the first signaling indicates a predicted data volume; the first signaling depends on at least predicting that there is first data in the first time window.

[0011] In the prior art, in order to improve scheduling flexibility and resource utilization, a UE reports an amount of pending data available to a MAC entity through a BSR (Buffer Status Report), and a network schedules uplink resources for the UE according to the BSR sent by the UE. The above method takes into account the influence of resource scheduling delay of the BSR process on system performance, shortens the resource scheduling delay by reporting a predicted amount of data, and is beneficial to improving the quality of service of the UE.

[0012] According to an aspect of the present application, it is characterized in that the first data amount report is triggered;

[0013] The first signaling depends on the prediction of the first data in the first time window, that is, as a response to the prediction of the first data in the first time window, the first data amount report is triggered; as a response to the triggering of the first data amount report, the first signaling is sent.

[0014] The above method is beneficial to implementation.

[0015] The above method is beneficial to multiplexing the existing BSR mechanism process, thereby reducing the standardization workload.

[0016] According to an aspect of the present application, it is characterized in that it comprises:

[0017] The second data amount report is triggered as a response to the prediction of the second data in the first time window;

[0018] The triggering of the second data amount report depends on the time-domain relationship between the first data and the second data.

[0019] Frequent triggering of data amount reports will cause redundant data amount reports and / or occupy too many resources, which is not conducive to the overall performance of the system. The above method takes into account the influence of the time-domain relationship of data on data amount reports, which is beneficial to reducing the triggered data amount reports and improving resource utilization.

[0020] According to an aspect of the present application, it is characterized in that it comprises:

[0021] The second data amount report is triggered as a response to the prediction of the second data in the first time window;

[0022] The triggering of the second data amount report depends on the first timer not being running; wherein, the first timer is started along with the triggering of the first data amount report.

[0023] Frequent triggering of data volume reports can result in redundant data volume reports and / or excessive resource occupation, which is not conducive to the overall performance of the system. The above method solves the problem of frequent triggering of data volume reports by introducing a first timer, which is conducive to reducing the triggering of data volume reports and improving resource utilization.

[0024] According to one aspect of the present application, it comprises:

[0025] In response to predicting that there is second data in the first time window, triggering a second data volume report;

[0026] Wherein, the triggering of the second data volume report depends on the chronological relationship between the first data and the second data;

[0027] And,

[0028] The triggering of the second data volume report depends on the first timer not being running; wherein, the first timer is started along with the triggering of the first data volume report.

[0029] Frequent triggering of data volume reports can result in redundant data volume reports and / or excessive resource occupation, which is not conducive to the overall performance of the system. The above method solves the problem of frequent triggering of data volume reports by the chronological relationship between data and the first timer, reducing the triggering of data volume reports while taking into account the priority of data.

[0030] According to one aspect of the present application, it comprises:

[0031] After predicting that there is first data in the first time window, in response to predicting that there is no longer the first data in the first time window, triggering a third data volume report.

[0032] The above method is conducive to updating data volume reports, assisting network resource scheduling, and avoiding resource waste.

[0033] According to one aspect of the present application, it comprises:

[0034] After predicting that there is first data in the first time window, in response to predicting that there is no longer the first data in the first time window, canceling at least the first data volume report.

[0035] The above method avoids indicating predicted data volume to the network, reduces signaling overhead, and improves resource utilization.

[0036] According to one aspect of the present application, the start time of the first time window depends on a first offset; the first offset is configurable.

[0037] The method further limits the predicted data amount, and is beneficial to network control.

[0038] According to an aspect of the present application, the start time of the first time window depends on a first offset; and the first offset is predefined.

[0039] The method further limits the predicted data amount, and is simple to implement.

[0040] According to an aspect of the present application, the first signaling indicates a first time; and the first time depends on the start time or the end time of the first time window.

[0041] The method further limits the first signaling, which is beneficial to reducing the information amount and signaling overhead.

[0042] According to an aspect of the present application, the first signaling indicates a first time; and the first time depends on the predicted arrival time of the first data.

[0043] The method further limits the first signaling, which is beneficial to providing more accurate information for network scheduling.

[0044] According to an aspect of the present application, the method comprises:

[0045] After the first signaling is sent, a second signaling is received.

[0046] The second signaling indicates a first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with a first time interval in a time domain; and the second signaling indicates the first time interval.

[0047] The method avoids resource waste and shortens scheduling delay.

[0048] The method indicates the first time interval through the second signaling, which is beneficial to determining whether the first uplink grant is valid based on network control.

[0049] According to an aspect of the present application, the method comprises:

[0050] After the first signaling is sent, a second signaling is received.

[0051] The second signaling indicates a first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with a first time interval in a time domain; and the first time interval depends on at least one of the first time window or the predicted arrival time of the first data.

[0052] The above methods avoid resource waste while reducing scheduling latency.

[0053] In the above method, the first time interval depends on at least one of the first time window or the predicted arrival time of the first data, which is beneficial for more flexible determination of whether the first uplink grant is valid.

[0054] As one example, the first time interval depends on the first time window.

[0055] As one example, the first time interval depends on the predicted arrival time of the first data.

[0056] As one example, the first time interval depends on the first time window and the predicted arrival time of the first data.

[0057] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0058] Send a first message; wherein the first message indicates a first time window;

[0059] Receive the first signaling;

[0060] Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

[0061] According to one aspect of this application, the recipient of the first message triggers a first data volume report; wherein, the first signaling-dependent prediction of first data within the first time window means that: in response to the prediction of first data within the first time window, the first data volume report is triggered; and in response to the triggering of the first data volume report, the first signaling is sent.

[0062] According to one aspect of this application, the receiver of the first message triggers a second data volume report in response to a prediction that second data is available within the first time window; wherein the triggering of the second data volume report depends on the temporal order of the first data and the second data.

[0063] And / or,

[0064] The triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

[0065] According to one aspect of this application, the receiver of the first message triggers a third data volume report after the prediction that there is first data within the first time window, as a response to the prediction that there is no more first data within the first time window.

[0066] According to one aspect of this application, the recipient of the first message cancels at least the first data volume report after the prediction that there is first data within the first time window, as a response to the prediction that there is no more first data within the first time window.

[0067] According to one aspect of this application, the start time of the first time window depends on a first offset; the first offset is configurable, or the first offset is predefined.

[0068] According to one aspect of this application, the first signaling indicates a first time; wherein the first time depends on the start time or end time of the first time window;

[0069] or,

[0070] The first time depends on the predicted arrival time of the first data.

[0071] According to one aspect of this application, it is characterized by comprising:

[0072] After the first signaling is received, the second signaling is sent;

[0073] Wherein, the second signaling indicates the first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with the first time interval in the time domain; the second signaling indicates the first time interval;

[0074] or,

[0075] The first time interval depends on at least one of the first time window or the predicted arrival time of the first data.

[0076] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0077] A first receiver receives a first message; wherein the first message indicates a first time window;

[0078] The first transmitter sends the first signal;

[0079] Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

[0080] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0081] The second transmitter sends a first message; wherein the first message indicates a first time window;

[0082] The second receiver receives the first signaling;

[0083] Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window. Attached Figure Description

[0084] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0085] Figure 1 A flowchart illustrating the transmission of a first node according to an embodiment of this application is shown;

[0086] Figure 2 A schematic diagram of a network architecture according to an embodiment of this application is shown;

[0087] Figure 3 A schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application is shown;

[0088] Figure 4 A schematic diagram of a first communication device and a second communication device according to an embodiment of this application is shown;

[0089] Figure 5 A flowchart illustrating a wireless signal transmission process according to an embodiment of this application is shown;

[0090] Figure 6 A flowchart illustrating a wireless signal transmission process according to another embodiment of this application is shown;

[0091] Figure 7 A flowchart illustrating a wireless signal transmission process according to yet another embodiment of this application is shown;

[0092] Figure 8 A flowchart for triggering a second data volume report according to an embodiment of this application is shown;

[0093] Figure 9 A flowchart for triggering a third data volume report according to an embodiment of this application is shown;

[0094] Figure 10 A flowchart illustrating the cancellation of at least a first data volume report according to an embodiment of this application is shown;

[0095] Figure 11 A schematic diagram of a first time window according to an embodiment of this application is shown;

[0096] Figure 12 A schematic diagram of the first signaling according to an embodiment of this application is shown;

[0097] Figure 13 A schematic diagram of a second candidate format of a first signaling according to an embodiment of this application is shown;

[0098] Figure 14 A schematic diagram of an AI / ML model according to an embodiment of this application is shown;

[0099] Figure 15 A schematic diagram illustrating the deployment of intelligent functions in a RAN domain according to an embodiment of this application is shown;

[0100] Figure 16 A schematic diagram illustrating the deployment of UE smart functions according to an embodiment of this application is shown;

[0101] Figure 17 A flowchart based on artificial intelligence or machine learning according to an embodiment of this application is shown;

[0102] Figure 18 A structural block diagram of a processing apparatus for a first node according to an embodiment of this application is shown;

[0103] Figure 19 A structural block diagram of a processing apparatus for a second node according to an embodiment of this application is shown;

[0104] Figure 20 A schematic diagram of a time window according to an embodiment of this application is shown. Detailed Implementation

[0105] The technical solution of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0106] Example 1

[0107] Example 1 illustrates a flowchart of the transmission of a first node according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown. (Attached) Figure 1 In the diagram, each box represents a step. It is particularly important to emphasize that the order of the boxes does not represent the chronological order of the steps they represent.

[0108] In Embodiment 1, the first node in this application receives a first message in step 101, wherein the first message indicates a first time window; and sends a first signaling in step 102, wherein the first signaling indicates a predicted amount of data; and the first signaling depends on at least the prediction that there is first data within the first time window.

[0109] As one example, the first node is a user equipment, and the sender of the first message is a base station device.

[0110] As one example, the first node is a user equipment, and the sender of the first message is a user equipment.

[0111] As an example, the first node is a base station device, and the sender of the first message is a base station device.

[0112] As an example, the first message is sent via a network.

[0113] As one example, the first message is sent by the second node.

[0114] As one example, the sender of the first message is the sustaining base station of a serving cell of the first node.

[0115] As an example, the sustaining base station of the serving cell is the recipient of the first signaling.

[0116] As an example, the sustaining base station of the serving cell is not the recipient of the first signaling.

[0117] As an example, the first message is received via PDSCH (Physical Downlink SharedChannel).

[0118] As an example, the first message is received via PDCCH (Physical Downlink Control Channel).

[0119] As an example, the first message is received via a sidelink (SL).

[0120] As an example, the first message is received via the NR Uu port.

[0121] As an example, the first message is received via the Uu port.

[0122] As an example, the first message is unicast.

[0123] As an example, the first message is broadcast.

[0124] As an example, the first message is received via an RB (Radio Bearer).

[0125] As an example, the RB is an SRB (Signalling Radio Bearer).

[0126] As an example, the RB is a DRB (user data radio bearer).

[0127] As an example, the RB is an SRB1.

[0128] As an example, one RB is an SRB2.

[0129] As an example, the RB is an AI / ML-specific RB.

[0130] As an example, the first message is a NAS (Non-Access Stratum) message.

[0131] As an example, the first message is an AI / ML-specific message.

[0132] As an example, the first message is an RRC (Radio Resource Control) message.

[0133] As an example, the first message is an RRCReconfiguration message.

[0134] As an example, the first message is a SIB1 (System Information Block 1) message.

[0135] As an example, the first message is a MAC PDU (Protocol Data Unit).

[0136] As an example, the first message is a MAC subPDU.

[0137] As an example, the first message is a MAC CE (Control Element).

[0138] As an example, the first message is a DCI (Downlink Control Information).

[0139] In one embodiment, the sender of the first message is the first node.

[0140] As an example, the first message is the output of an AI / ML model.

[0141] As an example, the first message is an inference output.

[0142] As an example, the first message is predicted by the first node.

[0143] As an example, the first message indicating the first time window means: the first message configures the first time window.

[0144] As an example, the first message indicating the first time window means that the first message explicitly indicates the first time window.

[0145] As an example, the first message indicating the first time window means that the first message implicitly indicates the first time window.

[0146] As an example, the first message indicating the first time window means that the first message is used to determine the first time window.

[0147] As an example, the first message indicating a first time window means that the first time window is determined by at least the first message.

[0148] As an example, the first message indicating the first time window means that the first message indicates at least one of the length or time domain position of the first time window.

[0149] As an example, the first message indicates the start time of the first time window.

[0150] As an example, the first message indicates the start time and length of the first time window.

[0151] As an example, the first message indicates the start time and end time of the first time window.

[0152] As an example, the start time of the first time window is indicated by at least one field in the first message.

[0153] As one example, the start time of the first time window depends on the reception time of the first message.

[0154] As an example, the start time of the first time window is the time when the first message is received.

[0155] As an example, the start time of the first time window is the time interval after which the first message is received.

[0156] As one embodiment, the first time window comprises a positive integer number of time units.

[0157] As one embodiment, the first time window consists of a positive integer number of time units.

[0158] As an example, the time unit is milliseconds.

[0159] As one example, the time unit is a time slot.

[0160] As an example, the time unit is a half-frame.

[0161] As one example, the time unit is a subframe.

[0162] As one example, the time unit is a wireless frame.

[0163] As one example, the first time window includes the time after the current time.

[0164] As an example, the start time of the first time window is the current time.

[0165] As an example, the time-domain resources corresponding to the first time window change over time.

[0166] As an example, the first time window is a sliding time window.

[0167] As an example, the first time window is a rollover time window.

[0168] As one embodiment, the first time window comprises a continuous period of time.

[0169] As one embodiment, the first time window includes discontinuous time periods.

[0170] As one embodiment, the first time window includes a continuous time interval.

[0171] As one embodiment, the first time window includes multiple consecutive time intervals that do not overlap.

[0172] As one example, the plurality of consecutive time intervals are continuous.

[0173] As an example, at least two of the plurality of consecutive time intervals are not consecutive.

[0174] As an example, any two of the plurality of consecutive time intervals are not consecutive.

[0175] As an example, the first signaling is received via PUSCH (Physical Uplink Shared Channel).

[0176] As an example, the first signaling is received via PUCCH (Physical Uplink Control Channel).

[0177] As an example, the first signaling is received via the sidelink (SL).

[0178] As an example, the first signaling is received via the NR Uu interface.

[0179] As an example, the first signaling is received via the Uu port.

[0180] As an example, the first signaling is unicast.

[0181] As an example, the first signaling is a MAC sublayer signaling.

[0182] As an example, the first signaling is a MAC CE.

[0183] As an example, the name of the first signaling includes Status Report.

[0184] As an example, the first signaling is an RRC message.

[0185] As an example, the first signaling is a UEAssistanceInformation message.

[0186] As an example, the first signaling is a MeasurementReport message.

[0187] As an example, the first signaling indicates the amount of data predicted for at least one piece of data.

[0188] As an example, the first signaling indicates the amount of data predicted for a given data set.

[0189] As an example, the first signaling indicates the amount of data predicted for multiple data sets.

[0190] As an example, the first signaling indicates a predicted service state, the predicted service state including the predicted data volume.

[0191] As a sub-example, the predicted business status includes the predicted arrival time of the data.

[0192] As a sub-example, the predicted business state includes the predicted distribution of the data.

[0193] As a sub-example, the predicted business state includes the predicted distribution probability of the data.

[0194] As a sub-example, the predicted business state includes the predicted duration of the data.

[0195] As a sub-example, the predicted business state includes the predicted type of data.

[0196] As an example, the predicted data is future data.

[0197] As an example, the predicted data has not yet arrived.

[0198] As an example, the predicted data is QoS flow.

[0199] As an example, the predicted data is a protocol layer data packet.

[0200] As an example, the predicted data is a protocol layer PDU.

[0201] As an example, the predicted data is a protocol layer SDU.

[0202] As one example, the protocol layer is the application layer.

[0203] As an example, the protocol layer is a PDCP (Packet Data Convergence Protocol) sublayer.

[0204] As an example, the protocol layer is the RLC (Radio Link Control) sublayer.

[0205] As an example, the unit of the data volume is bytes.

[0206] As an example, the unit of the data volume is bits.

[0207] As an example, the unit of the data volume is kilobytes (KB).

[0208] As an example, the unit of the data volume is megabytes (MB).

[0209] As an example, the prediction is based on the UE implementation.

[0210] As an example, the prediction is based on AI / ML functionality.

[0211] As an example, the prediction is based on an AI / ML model.

[0212] As one example, the prediction is based on historical information.

[0213] As one example, the prediction is based on storage-based logs.

[0214] As an example, the prediction is time-based.

[0215] As one example, the prediction is based on location.

[0216] As one example, the prediction is based on movement speed.

[0217] As one example, the predicted meaning includes inference.

[0218] As one example, "predicted" means "to obtain".

[0219] As one example, the meaning of "predicted" includes "determined".

[0220] As one example, the meaning of "predicted" includes "guessing".

[0221] As an example, the meaning of "predicted" includes assumptions.

[0222] As one example, the meaning of "predicted" includes "believed".

[0223] As one embodiment, the first signaling includes information related to the first time window.

[0224] As an example, the relevant information of the first time window includes at least one of the start time of the first time window, the end time of the first time window, or the length of the first time window.

[0225] As an example, the relevant information for the first time window includes the index of the first time window.

[0226] As one embodiment, the first signaling includes the predicted amount of data within the first time window.

[0227] As an example, the first signaling relying on at least predicting the existence of first data within the first time window means that the content in the first signaling relies on the prediction that the first data exists within the first time window.

[0228] As an example, the first signaling relying on the prediction that there is first data within the first time window means that the first signaling being sent depends on the prediction that there is first data within the first time window.

[0229] As an example, the first signaling relying on at least predicting the existence of first data within the first time window means that the first signaling is sent in response to at least the prediction of the existence of first data within the first time window.

[0230] As an example, the first signaling relying on at least predicting the existence of first data within the first time window means that the first signaling is sent in response to the prediction that the first data exists within the first time window.

[0231] As an example, the first node predicts that the first data exists within the first time window.

[0232] As an example, the first message indicates that the first data is predicted to exist within the first time window.

[0233] As one example, the first node performs a prediction; in response to the prediction, it is predicted that there is first data within a first time window.

[0234] As an example, predicting that there is a data point means: predicting that the indicator of the data point will reach a threshold.

[0235] As an example, predicting that there is a data point means: predicting that the indicator of the data point will reach a threshold.

[0236] As an example, the metric is probability, credibility, confidence level, or likelihood.

[0237] As an example, the first data belongs to the first logical channel.

[0238] As an example, the first data is allocated to the first logical channel upon arrival.

[0239] As an example, the first data is preferentially allocated to the first logical channel upon arrival.

[0240] As an example, the first logical channel is identified by a LogicalChannelIdentity.

[0241] As an example, the first node supports AI / ML functions.

[0242] As an example, the first node supports AI / ML models.

[0243] As an example, the first node supports prediction.

[0244] As an example, the first node supports prediction based on the amount of data.

[0245] Example 2

[0246] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown.

[0247] Appendix Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a future evolution network architecture of 3GPP; the network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203 and other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 can be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (transmitter-receiver node), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210. Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices.Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, radio terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via the S1 / NG interface. The core network 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF 213. MME / AMF / SMF 211 is the control node that handles signaling between UE201 and the core network 210. In general, the MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF212, which is itself connected to the P-GW / UPF213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF213 connects to Internet service 230. Internet service 230 includes operator-compliant Internet Protocol services, specifically including the Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0248] As an example, the first node includes the UE201.

[0249] As an example, the second node belongs to RAN202.

[0250] As an example, the second node includes the UE241.

[0251] As one embodiment, the second node includes the node 203.

[0252] Example 3

[0253] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and a control plane according to this application, as shown in the attached diagram. Figure 3 As shown. Figure 3 This is a schematic diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and the control plane 300. Figure 3 The radio protocol architecture for control plane 300 is illustrated using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. L1 layer will be referred to as PHY301 in this document. Layer 2 (L2 layer) 305 sits above PHY301 and includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and cross-area mobility support. The RLC sublayer 303 provides segmentation and reassembly of upper-layer packets, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ (Hybrid Automatic Repeat Request). MAC sublayer 302 provides multiplexing between the logical and transport channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell. MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of the control plane 300 is responsible for acquiring radio resources (i.e., radio bearers) and using RRC signaling to configure the lower layers. The radio protocol architecture of the user plane 350 includes Layer 1 (L1) and Layer 2 (L2). The radio protocol architecture in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 Layer 355, RLC sublayer 353 in L2 Layer 355, and MAC sublayer 352 in L2 Layer 355. However, PDCP sublayer 354 also provides header compression for upper layer packets to reduce radio transmission overhead. The L2 layer 355 in the user plane 350 also includes the SDAP (Service Data Adaptation Protocol) sublayer 356. The SDAP sublayer 356 is responsible for the mapping between QoS streams and data radio bearers (DRBs) to support service diversity.

[0254] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the first node in this application.

[0255] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the second node in this application.

[0256] As an example, the first message in this application is generated in the RRC306.

[0257] As an example, the first message in this application is generated by MAC302 or MAC352.

[0258] As an example, the first message in this application is generated by the PHY301 or PHY351.

[0259] As an example, the first message in this application is generated in the AI / ML sublayer (see attached). Figure 3 (Not shown).

[0260] As an example, the AI / ML sublayer is located on top of the RRC306.

[0261] As an example, the AI / ML sublayer is located on top of the RRC306.

[0262] As one example, the AI / ML sublayer is used to transmit data for AI / ML functions.

[0263] As one example, the AI / ML sublayer is used to transmit control signaling for AI / ML functions.

[0264] As an example, this application does not limit the name of the AI / ML sublayer.

[0265] As an example, the first message in this application is generated in the NAS sublayer (attached). Figure 3 (Not shown).

[0266] As an example, the NAS sublayer is located above the RRC306.

[0267] As an example, the NAS sublayer is located above the RRC306.

[0268] As an example, the first signaling in this application is generated in the RRC306.

[0269] As an example, the first signaling in this application is generated in MAC302 or MAC352.

[0270] As an example, the first signaling in this application is generated in the PHY301 or PHY351.

[0271] As an example, the first data volume report in this application is triggered by MAC302 or MAC352.

[0272] As an example, the second data volume report in this application is triggered by MAC302 or MAC352.

[0273] As an example, the third data volume report in this application is triggered by MAC302 or MAC352.

[0274] As an example, the at least first data volume report mentioned in this application is canceled by MAC302 or MAC352.

[0275] As an example, the second signaling in this application is generated in the RRC306.

[0276] As an example, the second signaling in this application is generated in MAC302 or MAC352.

[0277] As an example, the second signaling in this application is generated in the PHY301 or PHY351.

[0278] Example 4

[0279] Example 4 shows schematic diagrams of a first communication device and a second communication device according to this application, as shown in the appendix. Figure 4 As shown. Figure 4 This is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in the access network.

[0280] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0281] The second communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0282] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. 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 retransmitting lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). Transmit processor 416 performs encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, and mapping of signal clusters based on various modulation schemes (e.g., Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), M-Phase Shift Keying (M-PSK), M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based and non-codebook-based precoding, and beamforming processing, generating one or more spatial streams. Transmit processor 416 then maps each spatial stream to subcarriers, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domains, and subsequently uses inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. Multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmitter processor 471 into an radio frequency stream, which is then provided to different antennas 420.

[0283] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any spatial stream destined for the first communication device 450. Symbols on each spatial stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted by the second communication device 410 over the physical channel. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2. The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transport and logical channels to recover upper-layer data packets from the core network. The upper-layer data packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 for Layer 3 processing.

[0284] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, a data source 467 is used to provide upper-layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocation, implementing L2 layer functions for the user plane and control plane. The controller / processor 459 is also responsible for retransmitting lost packets and signaling to the second communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0285] In the transmission from the first communication device 450 to the second communication device 410, the function at the second communication device 410 is similar to the receiving function at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides multiplexing between the transmission and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover upper-layer data packets from the UE 450. Upper-layer packets from the controller / processor 475 can be provided to the core network.

[0286] As one embodiment, the first communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor, and the first communication device 450 at least: receives a first message; wherein the first message indicates a first time window; sends a first signaling; wherein the first signaling indicates a predicted amount of data; the first signaling depends on at least predicting that there is first data within the first time window.

[0287] As one embodiment, the first communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: receiving a first message; wherein the first message indicates a first time window; sending a first signaling; wherein the first signaling indicates a predicted amount of data; the first signaling depends on at least the prediction that there is first data within the first time window.

[0288] As one embodiment, the second communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 410 at least: transmits a first message; wherein the first message indicates a first time window; receives first signaling; wherein the first signaling indicates a predicted amount of data; the first signaling depends on at least a prediction that there is first data within the first time window.

[0289] As one embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: sending a first message; wherein the first message indicates a first time window; receiving a first signaling; wherein the first signaling indicates a predicted amount of data; the first signaling depends on at least the prediction that there is first data within the first time window.

[0290] As one embodiment, at least one of the antenna 452, the receiver 454, the receiving processor 456, and the controller / processor 459 is used to receive the first message.

[0291] As an example, at least one of the antenna 420, the transmitter 418, the transmission processor 416, and the controller / processor 475 is used to transmit the first message.

[0292] As one embodiment, at least one of the antenna 452, the transmitter 454, the transmission processor 468, and the controller / processor 459 is used to transmit the first signaling.

[0293] As one embodiment, at least one of the antenna 420, the receiver 418, the receiving processor 470, and the controller / processor 475 is used to receive the first signaling.

[0294] As one embodiment, at least one of the antenna 452, the receiver 454, the receiving processor 456, and the controller / processor 459 is used to receive the second signaling.

[0295] As an example, at least one of the antenna 420, the transmitter 418, the transmission processor 416, and the controller / processor 475 is used to transmit a second signaling.

[0296] As an example, the first node in this application includes the first communication device 450.

[0297] As an example, the second node in this application includes the second communication device 410.

[0298] As an example, the first communication device 450 corresponds to the first node in this application.

[0299] As an example, the second communication device 410 corresponds to the second node in this application.

[0300] As an example, the first communication device 450 is a user equipment.

[0301] As an example, the first communication device 450 is a base station device.

[0302] As an example, the first communication device 450 is a relay device.

[0303] As one embodiment, the second communication device 410 is a user equipment.

[0304] As one embodiment, the second communication device 410 is a base station device.

[0305] As one embodiment, the second communication device 410 is a relay device.

[0306] Example 5

[0307] Example 5 illustrates a wireless signal transmission flowchart according to an embodiment of this application, as shown in the attached diagram. Figure 5As shown. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0308] In Example 5,

[0309] First node U01, in step S5101, receives a first message; wherein the first message indicates a first time window; in step S5102, it is predicted that there is first data within the first time window; in step S5103, a first data volume report is triggered; wherein the first signaling depending on the prediction that there is first data within the first time window means: as a response to the prediction that there is first data within the first time window, the first data volume report is triggered; as a response to the triggering of the first data volume report, the first signaling is sent; in step S5104, the first signaling is sent; in step S5105, after the first signaling is sent, a second signaling is received; wherein the second signaling indicates a first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with a first time interval in the time domain; the second signaling indicates the first time interval; or, the first time interval depends on at least one of the first time window or the predicted arrival time of the first data;

[0310] In step S5201, the second node N02 sends the first message; in step S5202, it receives the first signaling; and in step S5203, it sends the second signaling.

[0311] Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

[0312] As an example, the first node U01 is a user equipment and the second node N02 is a base station equipment.

[0313] As an example, the dashed box F5.1 is optional.

[0314] As an example, the dashed box F5.1 is present.

[0315] As an example, the dashed box F5.1 does not exist.

[0316] As an example, step S5103 is optional.

[0317] In one embodiment, step S5103 is not present.

[0318] As a sub-implementation, the first signaling is a protocol layer signaling above an RRC sublayer.

[0319] As a sub-implementation, the first signaling is a NAS message.

[0320] As a sub-implementation, the first signaling is an RRC message.

[0321] As an example, step S5103 is present.

[0322] As a sub-implementation, the first signaling is a MAC CE.

[0323] As a sub-implementation, the first signaling is a UCI (Uplink Control Information).

[0324] As an example, the trigger is a trigger.

[0325] As an example, the first data volume report is a data volume report.

[0326] As an example, the data volume report is used to report the data volume.

[0327] As an example, the data volume report is used to report information about the predicted data.

[0328] As an example, the data volume report is used to report the predicted data volume.

[0329] As an example, the data volume report is used to report the predicted data volume and the predicted arrival time of the data.

[0330] As an example, the data volume report is a BSR.

[0331] As an example, the data volume report is a PSR (Predicted Status Report).

[0332] As an example, the data volume report is pending after it is triggered.

[0333] As an example, the data volume report is pending until it is canceled.

[0334] As an example, when the MAC entity is reset, if there is a triggered data volume report, the triggered data volume report is canceled.

[0335] As an example, in response to the first signaling being sent, all triggered data volume reports are cancelled.

[0336] As an example, in response to the first signaling being sent, at least a portion of the triggered data volume report is cancelled.

[0337] As an example, in response to the sending of the first signaling, the first data volume report is cancelled.

[0338] As an example, in response to the first signaling being sent, at least the first data volume report is cancelled.

[0339] As an example, when it is predicted that the first data exists within the first time window, the first data volume report is triggered.

[0340] As an example, when the prediction indicates that the first data exists within the first time window, the first data volume report is triggered.

[0341] As an example, when the first data volume report is triggered and there are UL-SCH (Uplink Shared Channel) resources available for signal transmission and the UL-SCH resources can accommodate the first signaling and its subheading, the multiplexing and assembly procedure is instructed to generate the first signaling.

[0342] As an example, when there are UL-SCH resources available for signal transmission and, as a result of logical channel prioritization, the UL-SCH resources can accommodate the first signaling and its subheading, the multiplexing and assembly process is instructed to generate the first signaling.

[0343] As an example, the first data volume report is not ranked higher than the BSRs other than the padding BSRs in the logical channel prioritization process.

[0344] As an example, the first data volume report is ranked lower in the logical channel prioritization process than the BSRs other than the padded BSRs.

[0345] As an example, the first node is not configured with PUCCH resources for SR reporting of the first data volume.

[0346] As an example, the first node is not configured with a PUCCH resource for SR reporting for the first data volume.

[0347] As an example, the first node is not allowed to configure PUCCH resources for SR for the first data volume report.

[0348] As an example, even if there are not enough uplink resources for the first data volume report, the first data volume report does not trigger an SR.

[0349] As one embodiment, the first signaling assists the second node in sending the second signaling.

[0350] As one example, the first signaling triggers the second node to send the second signaling.

[0351] As one embodiment, the first signaling requests the second node to send the second signaling.

[0352] As an example, the second signaling belongs to an RRC message.

[0353] As a sub-implementation, the second signaling is the aforementioned RRC message.

[0354] As a sub-implementation, the second signaling includes at least one RRC IE.

[0355] As a sub-implementation, the second signaling includes at least one RRC field.

[0356] As a sub-example, the RRC message is an RRC connection reconfiguration message.

[0357] As a sub-example, the RRC message is an RRCReconfiguration message.

[0358] As a sub-example, the RRC message is an RRC connection recovery message.

[0359] As a sub-example, the RRC message is an RRCResume message.

[0360] As a sub-example, the RRC message is an RRC connection reconstruction message.

[0361] As a sub-example, the RRC message is an RRCReestablishment message.

[0362] As a sub-example, the RRC message is an RRC connection release message.

[0363] As a sub-example, the RRC message is an RRCRelease message.

[0364] As an example, the second signaling configures the CG (Configured Grant) resource of type 1.

[0365] As an example, the second signaling configures the CG resources of type 2.

[0366] As one example, the second signaling includes a ConfiguredGrantConfig IE.

[0367] As an example, the second signaling is a ConfiguredGrantConfig IE.

[0368] As one example, the second signaling includes an rrc-ConfiguredUplinkGrant.

[0369] As an example, the second signaling configuration includes at least one of the following: time-domain resource allocation, frequency-domain resource allocation, MCS, antenna port, and power control parameters of the first time-frequency resource.

[0370] As one embodiment, the second signaling includes a timeDomainAllocation, which configures the time domain resource allocation of the first time-frequency resource.

[0371] As one embodiment, the second signaling includes a frequencyDomainAllocation, which configures the frequency domain resource allocation of the first time-frequency resource.

[0372] As one embodiment, the second signaling includes a field that configures the period of the first time-frequency resource.

[0373] As one embodiment, the second signaling includes a periodicity, which configures the period of the first time-frequency resource.

[0374] As one embodiment, the second signaling configures multiple time-frequency resources, and the first time-frequency resource is one of the multiple time-frequency resources.

[0375] As an example, the first time-frequency resource is a CG resource.

[0376] As an example, whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with the first time interval in the time domain: if the first time-frequency resource overlaps with the first time interval in the time domain, the first time-frequency resource is valid; if the first time-frequency resource does not overlap with the first time interval in the time domain, the first time-frequency resource is invalid.

[0377] As an example, "the first time-frequency resource is valid" or "the first time-frequency resource is invalid" means: the first time-frequency resource is considered valid or not considered valid.

[0378] As an example, "the first time-frequency resource is valid / the first time-frequency resource is invalid" means: "the first time-frequency resource is considered to be available for use" or "the first time-frequency resource is not considered to be available for use".

[0379] As an example, "the first time-frequency resource is valid / the first time-frequency resource is invalid" means: the first time-frequency resource is considered to be usable for the first data / the first time-frequency resource is not considered to be usable for the first data.

[0380] As an example, "the first time-frequency resource is valid / the first time-frequency resource is invalid" means: "the first time-frequency resource is considered to be allocated to the first node" or "the first time-frequency resource is not considered to be allocated to the first node".

[0381] As an example, "the first time-frequency resource is valid / the first time-frequency resource is invalid" means: the first time-frequency resource is considered to be allocated to the first node / the first time-frequency resource is not considered to be allocated to the first node.

[0382] As an example, the overlap between the first time-frequency resource and the first time interval in the time domain / non-overlap between the first time-frequency resource and the first time interval in the time domain means that: all time-domain resources of the first time-frequency resource belong to the first time interval / at least a portion of the time-domain resources of the first time-frequency resource do not belong to the first time interval.

[0383] As an example, the overlap between the first time-frequency resource and the first time interval in the time domain / non-overlap between the first time-frequency resource and the first time interval in the time domain means that at least a portion of the time-domain resources of the first time-frequency resource belong to the first time interval / any time-domain resource of the first time-frequency resource does not belong to the first time interval.

[0384] As one embodiment, the second signaling indicates a plurality of time intervals, wherein the first time interval is one of the plurality of time intervals.

[0385] As an example, the first time interval is the time interval indicated by a signaling among the plurality of time intervals.

[0386] As an example, the first time interval is a time interval determined by the first node itself among the plurality of time intervals.

[0387] As an example, the first time interval is any one of the plurality of time intervals.

[0388] As one embodiment, the second signaling indicates only one time interval, which is the first time interval.

[0389] As one embodiment, the second signaling includes at least one field indicating the first time interval.

[0390] As one embodiment, the second signaling indicates the time-domain location of the first time interval.

[0391] As one embodiment, the second signaling indicates the duration of the first time interval.

[0392] As one example, the second signaling indicates the start time and duration of the first time interval.

[0393] As one embodiment, the second signaling indicates the start and end times of the first time interval.

[0394] As an example, at least one MAC PDU is transmitted on the first time-frequency resource, the at least one MAC PDU carrying the first data.

[0395] As one example, the first time interval depends on the first time window.

[0396] As an example, the first time interval is determined by the first time window.

[0397] As one embodiment, the first time interval includes the temporal resources of the first time window.

[0398] As an example, the first time interval is the temporal resource of the first time window.

[0399] As one example, the first time interval depends on the predicted arrival time of the first data.

[0400] As an example, the first time interval and the predicted arrival time of the first data overlap.

[0401] As an example, the first time interval includes the predicted arrival time of the first data.

[0402] As an example, the first time interval is the predicted arrival time of the first data.

[0403] As one example, the first time interval and the predicted duration of the first data overlap.

[0404] As one embodiment, the first time interval includes the duration of the predicted first data.

[0405] As an example, the first time interval is the duration of the predicted first data.

[0406] As one example, the first time interval depends on the first time window and the predicted arrival time of the first data.

[0407] Example 6

[0408] Example 6 illustrates a wireless signal transmission flowchart according to another embodiment of this application, as shown in the attached diagram. Figure 6 As shown. (Attached) Figure 5 Steps S5101 and S5201 in the above can be replaced with the following: Figure 6 Steps S6101 and S6301 are described in the appendix. For the remaining steps, please refer to the appendix. Figure 5 This will not be elaborated further here. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0409] In Example 6,

[0410] In step S6101, the first node U01 receives the first message;

[0411] In step S6301, the third node N03 sends the first message.

[0412] As an example, the first node U01 is a user equipment, the second node N02 is a base station equipment, and the third node N03 is a core network equipment.

[0413] As one embodiment, the wireless link between the first node U01 and the second node N02 includes an air interface; the wireless link between the second node N02 and the third node N03 includes a backhaul link.

[0414] As one example, the core network equipment includes a NAS device.

[0415] As one embodiment, the core network device includes intelligent functions, which include at least one of training or inference.

[0416] As one embodiment, the core network device includes an intelligent module.

[0417] As one example, the core network device processes AI / ML models.

[0418] As one embodiment, the core network equipment includes an OTT (Over-The-Top) server.

[0419] As one example, the core network equipment includes OAM (Operations Administration and Maintenance).

[0420] As one embodiment, the third node N03 predicts that the first data exists within the first time window; in response to the third node N03 predicting that the first data exists within the first time window, the first message is sent.

[0421] As an example, the first message indicates that the first data is predicted to exist within the first time window.

[0422] Example 7

[0423] Example 7 illustrates a wireless signal transmission flowchart according to yet another embodiment of this application, as shown in the attached diagram. Figure 7 As shown. (Attached) Figure 5 Steps S5101 and S5201 in the above can be replaced with the following: Figure 7 Steps S7101 and S7102 are described in the appendix; for the remaining steps, please refer to the appendix. Figure 5 This will not be elaborated further here. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0424] In embodiment 7, the first node U01 includes an intelligent module 701 and a legal module 702; wherein,

[0425] In step S7101, the intelligent module 701 of the first node U01 sends a first message;

[0426] In step S7102, the legitimate module 702 of the first node U01 receives the first message.

[0427] As one embodiment, the smart module 701 is a piece of hardware.

[0428] As an example, the intelligent module 701 is software.

[0429] As an example, the smart module 701 is a program.

[0430] As one embodiment, the intelligent module 701 is a function.

[0431] As one example, the smart module 701 is a protocol entity.

[0432] As an example, the intelligent module 701 is the protocol entity corresponding to the AI / ML sublayer.

[0433] As one embodiment, the intelligent module 701 is logical.

[0434] As one embodiment, the smart module 701 is physical.

[0435] As an example, the intelligent module 701 processes the at least one intelligent model.

[0436] As an example, the intelligent module 701 includes at least one of the second module or the third module in the intelligent model shown in Example 14.

[0437] As one embodiment, the intelligent module 701 includes the reasoning function 1806 shown in embodiment 16.

[0438] As an example, the legal module 702 is logical.

[0439] As an example, the legal module 702 is physical.

[0440] As an example, the valid module 702 detects a connection failure.

[0441] As an example, the legal module 702 is a protocol entity.

[0442] As an example, the legal module 702 is an RRC protocol entity.

[0443] As an example, the legal module 702 is located in the RRC sublayer.

[0444] As one embodiment, the legal module 702 is located at a higher level than the RRC sublayer.

[0445] As one embodiment, the legal module 702 is located at a lower level than the RRC sublayer.

[0446] As an example, the legal module 702 supports 3GPP Release 17.

[0447] As an example, the legal module 702 supports 3GPP Release 18.

[0448] As an example, the legal module 702 does not have either training or inference functions.

[0449] As an example, the legal module 702 is not a smart module.

[0450] As an example, the interface between the legal module 702 and the smart module 701 is defined by the 3GPP protocol.

[0451] As an example, the interface between the legal module 702 and the smart module 701 is implemented based on the UE.

[0452] As an example, the interface between the legal module 702 and the intelligent module 701 is logical.

[0453] As an example, the interface between the legal module 702 and the smart module 701 is physical.

[0454] As one embodiment, the intelligent module 701 predicts that the first data exists within the first time window; in response to the intelligent module 701 predicting that the first data exists within the first time window, the first message is sent.

[0455] As an example, the first message indicates that the first data is predicted to exist within the first time window.

[0456] Example 8

[0457] Example 8 illustrates a flowchart of triggering a second data volume report according to an embodiment of this application, as shown in the attached diagram. Figure 8 As shown. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0458] for First node U01 In step S8101, it is predicted that there is second data within the first time window; in step S8102, in response to the prediction that there is second data within the first time window, a second data volume report is triggered.

[0459] As an example, the second data volume report is triggered before the first data volume report is triggered.

[0460] As an example, after the first data volume report is triggered, the second data volume report is triggered.

[0461] As an example, the second data volume report is a data volume report.

[0462] As an example, the first data and the second data are different.

[0463] As an example, the content of the first data is different from the content of the second data.

[0464] As an example, the size of the first data and the size of the second data are different.

[0465] As an example, the service type of the first data and the service type of the second data are different.

[0466] As one example, the second data is a copy of the first data.

[0467] As one example, the second data is a retransmission of the first data.

[0468] As an example, the first data and the second data belong to the same logical channel.

[0469] As an example, the first data and the second data belong to different logical channels.

[0470] As one example, the first data and the second data belong to different logical channel groups.

[0471] As an example, the predicted arrival time of the first data is different from the predicted arrival time of the second data.

[0472] As an example, the triggering of the second data volume report depends on the temporal order of the first data and the second data.

[0473] As an example, in response to the prediction that there is second data within the first time window, and that the second data is later than the first data, a second data volume report is triggered.

[0474] In the above method, if the second data is earlier than the first data, the second data volume report is not triggered, thereby reducing unnecessary data volume reports.

[0475] As an example, in response to the prediction that there is second data within the first time window, and that the second data is earlier than the first data, a second data volume report is not triggered.

[0476] In the above method, if the second data is later than the first data, the second data volume report is not triggered, thereby reducing unnecessary data volume reports.

[0477] As one embodiment, the triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

[0478] As an example, in response to the prediction that there is second data within the first time window and that the first timer is not running, a second data volume report is triggered.

[0479] In the above method, if the first timer is running, the second data volume report is not triggered, thereby reducing unnecessary data volume reports.

[0480] As one embodiment, the triggering of the second data volume report depends on the temporal order of the first data and the second data; and the triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

[0481] As an example, a second data volume report is triggered in response to the prediction that there is second data within the first time window, and that the second data is later than the first data and the first timer is not running.

[0482] In the above method, if the second data is earlier than the first data or the first timer is not running, the second data volume report is not triggered, thereby reducing unnecessary data volume reports.

[0483] Example 9

[0484] Example 9 illustrates a flowchart of triggering a third data volume report according to an embodiment of this application, as shown in the appendix. Figure 9 As shown. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0485] for First node U01 In step S9101, after predicting that there is first data in the first time window, it is predicted that there is no more first data in the first time window; in step S9102, as a response to predicting that there is no more first data in the first time window, a third data volume report is triggered.

[0486] As an example, the third data volume report is a data volume report.

[0487] As an example, predicting that the first data will no longer exist within the first time window means receiving a notification from the third node that the first data will no longer exist within the first time window.

[0488] As an example, predicting that the first data will no longer exist within the first time window means that the legitimate module receives a notification from the intelligent module that the first data will no longer exist within the first time window.

[0489] As an example, predicting that the first data will no longer exist within the first time window means that the first data will be canceled within the first time window.

[0490] As an example, predicting that the first data will no longer be available within the first time window means that the first data will not arrive within the first time window.

[0491] As an example, predicting that the first data will no longer exist within the first time window means predicting that the first data will become invalid within the first time window.

[0492] As an example, after it is predicted that there is first data within the first time window and before the predicted arrival time of the first data, it is predicted that there will be no more first data within the first time window.

[0493] As an example, after it is predicted that there is first data within the first time window and before the start time of the first time window, it is predicted that there will no longer be first data within the first time window.

[0494] As an example, the first data volume report has been cancelled when it is predicted that there will be no more first data within the first time window.

[0495] As an example, when it is predicted that there will be no more data in the first time window, a data volume report that has not been triggered and is pending is generated.

[0496] As an example, when it is predicted that there will be no more data for the first data within the first time window, no data volume report for the first data is triggered and pending.

[0497] As an example, when it is predicted that there will be no more data in the first time window, no data volume report for the logical channel to which the first data belongs is triggered and pending.

[0498] As an example, when it is predicted that there will be no more data in the first time window, no data volume report is triggered and pending for the logical channel group to which the logical channel to which the first data belongs.

[0499] As an example, the first signaling has been sent when it is predicted that there will be no more first data within the first time window.

[0500] Example 10

[0501] Example 10 illustrates a flowchart of canceling at least a first data volume report according to an embodiment of this application, as shown in the attached diagram. Figure 10 As shown. It should be noted that the order in this example does not limit the order of signal transmission and implementation in this application.

[0502] for First node U01 In step S10101, after predicting that there is first data in the first time window, it is predicted that there will no longer be first data in the first time window; in step S10102, as a response to predicting that there will no longer be first data in the first time window, at least the first data volume report is cancelled.

[0503] As an example, the at least first data volume report is the first data volume report.

[0504] As an example, the at least first data volume report is a plurality of data volume reports, and the first data volume report is one of the plurality of data volume reports.

[0505] As an example, any one of the data volume reports in the first data volume report is triggered after the first data volume report.

[0506] As an example, at least one of the data volume reports in the first data volume report is triggered before the first data volume report.

[0507] As an example, when it is predicted that there will be no more data in the first time window, the at least first data volume is reported as pending.

[0508] As an example, from the prediction that there is first data within the first time window to the prediction that there is no more first data within the first time window, neither condition for canceling the first data volume report is met.

[0509] As an example, from the prediction that there is first data within the first time window to the prediction that there is no more first data within the first time window, the first data volume report is not canceled.

[0510] As an example, from the prediction that there is first data within the first time window to the prediction that there is no more first data within the first time window, the first data volume report is not canceled.

[0511] Example 11

[0512] Example 11 illustrates a schematic diagram of a first time window according to an embodiment of this application, as shown in the attached diagram. Figure 11 As shown.

[0513] In Example 11, the start time of the first time window depends on the first offset.

[0514] As an example, the start time of the first time window is determined by the first offset.

[0515] As an example, the start time of the first time window is related to the first offset.

[0516] As an example, the start time of the first time window is the time elapsed between the target time and the first offset.

[0517] As an example, at least one field in the first message indicates the target time.

[0518] As an example, the reception time of the first message indicates the target time.

[0519] As an example, the target time is the current time.

[0520] As one example, the target time depends on the system configuration.

[0521] As one example, the system configuration includes SFN (System Frame Number).

[0522] As one example, the system configuration includes a subframe number.

[0523] As one example, the system configuration includes a timeslot number.

[0524] As an example, the target time is the start time of the next subframe.

[0525] As an example, the first offset is configurable.

[0526] As one example, the first offset is configured by signaling of a protocol layer above an RRC sublayer.

[0527] As an example, the first offset is configured by a NAS signaling.

[0528] As an example, the first offset is configured by an RRC signaling.

[0529] As an example, the first offset is configured by the first message.

[0530] As an example, the first offset is configured by a signaling mechanism other than the first message.

[0531] As an example, the first offset is predicted.

[0532] As an example, the first offset is determined by the first node itself.

[0533] As an example, the first offset is selected by the first node.

[0534] As an example, the first offset is randomly selected by the first node.

[0535] As one embodiment, the first offset is selected by the first node based on the subcarrier spacing.

[0536] As an example, the first offset is predicted by the first node.

[0537] As an example, the first offset is a positive integer number of time units.

[0538] As an example, the first offset is variable.

[0539] As an example, the first offset is fixed.

[0540] As an example, the time unit is milliseconds.

[0541] As one example, the time unit is a time slot.

[0542] As an example, the time unit is a symbol.

[0543] As an example, the time unit is a half-frame.

[0544] As an example, the first offset is predefined.

[0545] As an example, the statement that the first offset is predefined means that the first offset is specified by the protocol.

[0546] As an example, the statement that the first offset is predefined means that the first offset is system-specific.

[0547] As one example, the first offset is the time interval between the current time and the start time of the next subframe.

[0548] As an example, the first offset is the time interval between the current time and the start time of the system frame corresponding to the next SFN.

[0549] Example 12

[0550] Example 12 illustrates a schematic diagram of the first signaling according to an embodiment of this application, as shown in the attached diagram. Figure 12 As shown.

[0551] In Embodiment 12, the first signaling indicates a first time.

[0552] As an example, the first signaling explicitly indicates the first time.

[0553] As an example, the first signaling implicitly indicates the first time.

[0554] As one embodiment, the first signaling indicates the index of the first time.

[0555] As an example, the first signaling indicates the absolute time to which the first time belongs.

[0556] As an example, the first signaling indicates the SFN to which the first time belongs.

[0557] As one embodiment, the first signaling indicates the time slot to which the first time belongs.

[0558] As an example, at least one field in the first signaling indicates the first time.

[0559] As one example, the first signaling includes only one time and only one predicted amount of data.

[0560] As one embodiment, the first signaling includes multiple times and multiple predicted data amounts; wherein, the first time is one of the multiple times.

[0561] As an example, the first signaling indicates the second time and the duration of the first time.

[0562] As one embodiment, the first signaling indicates the time interval between the second time and the first time.

[0563] As one embodiment, the second timing depends on the first signaling.

[0564] As one embodiment, the second time is explicitly indicated by the first signaling.

[0565] As one embodiment, the second time is implicitly indicated by the first signaling.

[0566] As an example, the second time relates to a PUSCH transmission including the first signaling.

[0567] As one embodiment, the second time is the time of a PUSCH transmission that includes the first signaling.

[0568] As one embodiment, the second time is the time of the first symbol of a PUSCH transmission that includes the first signaling.

[0569] As an example, the PUSCH transmission that includes the first signaling is the first PUSCH transmission that includes the first signaling.

[0570] As an example, the PUSCH transmission that includes the first signaling is the last PUSCH transmission that includes the first signaling.

[0571] As an example, the first time depends on the start time of the first time window.

[0572] As an example, the first time is determined by the start time of the first time window.

[0573] As an example, the first time is the start time of the first time window.

[0574] As an example, the first time is a time after the start time of the first time window.

[0575] As an example, the first time is a time prior to the start time of the first time window.

[0576] As an example, the first time depends on the end time of the first time window.

[0577] As an example, the first time is determined by the end time of the first time window.

[0578] As an example, the first time is the end time of the first time window.

[0579] As an example, the first time is a time after the end time of the first time window.

[0580] As an example, the first time is a time before the end time of the first time window.

[0581] As one example, the first time depends on the predicted arrival time of the first data.

[0582] As an example, the first time depends on the predicted arrival time of the first data.

[0583] As an example, the first time is determined by the predicted arrival time of the first data.

[0584] As an example, the first time is the predicted arrival time of the first data.

[0585] As an example, the first time is a time after the predicted arrival time of the first data.

[0586] As an example, the first time is a time prior to the predicted arrival time of the first data.

[0587] As an example, the predicted arrival time of a data point refers to the predicted occurrence time of that data point.

[0588] As an example, the predicted arrival time of a data point refers to the predicted time when the data is available to the MAC entity.

[0589] As an example, the predicted arrival time of a piece of data refers to the predicted time when the data arrives at a protocol layer.

[0590] As a sub-implementation, the protocol layer is the application layer.

[0591] As a sub-implementation, the protocol layer is the PDCP sublayer.

[0592] As a sub-implementation, the protocol layer is the MAC sublayer.

[0593] As an example, the first data is the earliest data in the time domain among multiple data predicted within the first time window.

[0594] As an example, the first data is the latest data in the time domain among multiple data predicted within the first time window.

[0595] As an example, the first signaling is an RRC message.

[0596] As an example, the first signaling is a MAC CE.

[0597] As a sub-implementation, the format of the first signaling is the first candidate format.

[0598] As a sub-implementation, the format of the first signaling is the second candidate format.

[0599] As a sub-implementation, the format of the first signaling is one of a first candidate format and a second candidate format.

[0600] As a sub-implementation, the first candidate format can only indicate one prediction cache information.

[0601] As a sub-example, the second candidate format can indicate multiple prediction cache information.

[0602] As a sub-example, each prediction cache information includes a time and a predicted amount of data.

[0603] As a sub-example, each prediction cache information includes a time and a predicted amount of data.

[0604] As a sub-implementation, each prediction cache information occupies multiple octets.

[0605] As a sub-example, the plurality of octets are consecutive.

[0606] As a sub-example, the plurality of octets is two octets.

[0607] As a sub-example, the plurality of octets is 3 octets.

[0608] As a sub-example, the predicted cache information is not limiting and can be replaced with other names to achieve similar technical effects.

[0609] As a sub-example, the predicted cache information is not delay information.

[0610] As a sub-implementation, the first signaling is not DSR MAC CE.

[0611] Example 13

[0612] Example 13 illustrates a schematic diagram of a second candidate format for a first signaling according to an embodiment of this application, as shown in the attached diagram. Figure 13 As shown.

[0613] In embodiment 13, the first signaling is a MAC CE, the format of the first signaling is a second candidate format, the second candidate format indicates M prediction cache information, each of the M prediction cache information occupies at least one consecutive octet, and the M prediction cache information corresponds one-to-one with M objects.

[0614] As an example, each of the M prediction cache information has the same format.

[0615] As an example, each of the M prediction cache information includes at least one reserved field.

[0616] As an example, no field in each of the M prediction cache information is reserved.

[0617] As an example, each of the M prediction cache information includes a predicted amount of data.

[0618] As a sub-implementation, the appendix Figure 13 Time #1; ...; Time #M exists, the attached... Figure 13 The time in the text does not exist.

[0619] As a sub-implementation, the appendix Figure 13 Time #1; ...; Time #M exists, the attached... Figure 13 Time exists within it.

[0620] As a sub-implementation, each prediction cache information includes a predicted amount of data; the second candidate format indicates a time that does not belong to the prediction cache information.

[0621] As a sub-example, the octet to which the time belongs immediately follows the bitmap.

[0622] As a sub-example, the octet to which the time belongs follows the bitmap and precedes the first prediction cache information.

[0623] As a sub-example, the octet to which the time belongs is after the last prediction cache information.

[0624] As a sub-implementation, the time depends on the first time window.

[0625] As a sub-example, the prediction cache information #1 includes the predicted data amount #1; ...; the prediction cache information #M includes the predicted data amount #M.

[0626] As an example, each of the M prediction cache information includes a predicted amount of data and a time.

[0627] As a sub-implementation, the appendix Figure 13 Time #1; ...; Time #M exists.

[0628] As a sub-implementation, the appendix Figure 13 In the above, the prediction cache information #1 includes time #1 and the predicted data amount #1; ...; the prediction cache information #M includes time #M and the predicted data amount #M.

[0629] As an example, the M prediction cache information are sorted in chronological order.

[0630] The above method is beneficial for prioritizing the reporting of earlier data, thereby enabling earlier scheduling and reducing scheduling latency.

[0631] As an example, the M prediction cache information are sorted in ascending order according to the LCG index.

[0632] The above method is beneficial for prioritizing the reporting of higher-priority data, thereby improving service quality.

[0633] As an example, M is not greater than the number of bits in the bitmap.

[0634] As an example, the second candidate format includes a bitmap, where each bit in the bitmap corresponds to an object; a bit corresponding to an object is set to 1 to indicate that the prediction cache information corresponding to the object is reported; a bit corresponding to an object is set to 0 to indicate that the prediction cache information corresponding to the object is not reported.

[0635] As an example, the position of a bit in the bitmap is an index of an object.

[0636] As an example, the size of the bitmap is variable.

[0637] As an example, the size of the bitmap is fixed.

[0638] As an example, the size of the bitmap depends on the RRC configuration.

[0639] As an example, the bitmap belongs to an octet.

[0640] As an example, at least one bit in the octet to which the bitmap belongs is reserved.

[0641] As an example, any bit in the octet to which the bitmap belongs belongs to the bitmap.

[0642] As an example, the second candidate format does not include the aforementioned bitmap.

[0643] As an example, the MAC subheader in the MAC subPDU to which the first signaling belongs does not include the L field.

[0644] As an example, the size of the first signaling is indicated by the L field in the MAC subheader of the MAC subPDU to which the first signaling belongs.

[0645] As an example, the object is an LCG (Logical Channel Group).

[0646] As an example, the object is a logical channel.

[0647] As an example, the object is RB.

[0648] As one example, the object is a DRB.

[0649] As an example, the object is QoS (Quality of Service) flow.

[0650] As one example, the object is a time window.

[0651] As an example, the appendix Example 14 The size of each field in the second candidate format is not limited; specifically, the number of bits occupied by the time in each prediction cache information can be 8, or the number of bits occupied by the time in each prediction cache information can also be 6.

[0652] Figure 14

[0653] Example 14 illustrates a schematic diagram of an AI / ML model according to an embodiment of this application, as shown in the attached diagram. Figure 14 As shown. (Attached) Figure 14 It includes Module 1, Module 2, Module 3, Module 4, and Module 5.

[0654] In Example 14, in the appendix Figure 14In the AI / ML model shown, the first module sends a first dataset to the second module, the first module sends a second dataset to the third module, the first module sends a third dataset to the fifth module, the fifth module sends a first type of parameter set to the second module, the fifth module sends a second type of parameter set to the third module, the fifth module sends a third type of parameter set to the fourth module, the second module sends a fourth type of parameter set to the fourth module, and the fourth module sends a fifth type of parameter set to the third module.

[0655] As an example, the first module, the second module, the third module, the fourth module, and the fifth module in an AI / ML model all belong to the first node.

[0656] The above method avoids air interface signaling interaction and shortens transmission latency.

[0657] As an example, any one of the first module, second module, third module, fourth module, and fifth module in an AI / ML model does not belong to the first node.

[0658] The above method reduces the hardware complexity of the first node.

[0659] As an example, at least one of the first module, the second module, the third module, the fourth module, and the fifth module in an AI / ML model belongs to the first node; and at least one of the first module, the second module, the third module, the fourth module, and the fifth module belongs to a network node.

[0660] The above method balances the hardware complexity and transmission latency of the first node.

[0661] As an example, the first module is used for data collection.

[0662] As an example, the first module is responsible for data collection.

[0663] As an example, the first module has a data collection function.

[0664] As one example, the second module has a training function.

[0665] As one example, the training function is used for AI / ML model training.

[0666] As an example, the training function is responsible for training the AI / ML model.

[0667] As an example, the training function includes AI / ML model training capabilities.

[0668] As an example, the training function performs AI / ML model training.

[0669] As an example, the second module performs validation.

[0670] As an example, the second module performs testing.

[0671] As an example, the second module generates AI / ML model performance metrics.

[0672] As one example, the second module is responsible for data preparation.

[0673] As one embodiment, the data preparation includes at least one of data pre-processing, cleaning, formatting, or transformation.

[0674] As an example, the third module has reasoning capabilities.

[0675] As an example, the inference function is used for inference.

[0676] As an example, the reasoning function is responsible for reasoning.

[0677] As one example, the fourth module is used for AI / ML model storage.

[0678] As an example, the fourth module has AI / ML model storage functionality.

[0679] As an example, the fourth module is responsible for storing the trained AI / ML model.

[0680] As an example, the fourth module is responsible for storing trained AI / ML models that can be used to perform inference processing.

[0681] As one example, the fifth module is used for management.

[0682] As an example, the fifth module is responsible for management.

[0683] As one example, the fifth module has management functions.

[0684] As an example, the fifth module manages the AI / ML model.

[0685] As an example, the first dataset is training data.

[0686] As an example, the first dataset is the input to the second module.

[0687] As an example, the first dataset includes the first candidate data.

[0688] As an example, the second dataset is inference data.

[0689] As an example, the second dataset is the input to the third module.

[0690] As an example, the second dataset includes the first candidate data.

[0691] As an example, the third dataset is monitoring data.

[0692] As an example, the third dataset is the input to the fifth module.

[0693] As an example, the third dataset includes the first candidate data.

[0694] As an example, the first type of parameter group includes monitoring output.

[0695] As one example, the second type of parameter group includes management instructions.

[0696] As an example, the second type of parameter group is used for fine-tuning operations of the inference function.

[0697] As an example, the second type of parameter group includes the identifier of the AI / ML model.

[0698] As an example, the second group of parameters is used to select the AI / ML model.

[0699] As an example, the second type of parameter group is used to switch between AI / ML models.

[0700] As an example, the second type of parameter group is used to activate / deactivate the AI / ML model.

[0701] As an example, the second type of parameter group is used to fall back the AI / ML model.

[0702] As an example, the third group of parameters includes AI / ML model transfer requests.

[0703] As an example, the third type of parameter group includes AI / ML model delivery requests.

[0704] As an example, the fourth parameter group includes trained AI / ML models.

[0705] As an example, the fourth group of parameters includes the updated AI / ML model.

[0706] As an example, the fourth group of parameters indicates the identifier of the AI / ML model.

[0707] As an example, the fifth parameter group includes AI / ML model transfer.

[0708] As an example, the fifth parameter group includes AI / ML model delivery.

[0709] As an example, the fifth parameter group indicates the identifier of the AI / ML model.

[0710] As an example, the first type of output does not exist.

[0711] As an example, the first type of output exists.

[0712] As an example, the first type of output includes the first candidate data.

[0713] As an example, the second module sends the first type of output to the fifth module.

[0714] As an example, the first type of output includes monitoring output.

[0715] As an example, the second type of output does not exist.

[0716] As an example, the second type of output exists.

[0717] As an example, the second type of output includes the first candidate data.

[0718] As an example, the third module sends the second type of output to the fifth module.

[0719] As an example, the second type of output includes inference output.

[0720] As an example, the second type of output is used by the fifth module to monitor the performance of the AI / ML model.

[0721] As an example, the first candidate data includes the first dataset in the AI / ML model.

[0722] As an example, the first dataset in the AI / ML model is configured by the network.

[0723] As an example, the first dataset in the AI / ML model is determined by the first node.

[0724] As an example, the first dataset in the AI / ML model includes the stored data of the first node; the stored data may come from the network, the logs of the first node, or other RAN nodes.

[0725] As an example, the first dataset in the AI / ML model includes measurement information of the first node; the measurement information may be the movement state of the first node, such as movement speed, or the number of cells switched within a given time interval; the measurement information may also be measurement results for a reference signal, such as cell-level measurement results, or beam-level measurement results, or time-domain measurement results, or frequency-domain measurement results, or spatial-domain measurement results, or a combination thereof.

[0726] As an example, the first candidate data includes the second dataset in the AI / ML model.

[0727] As an example, the second dataset in the AI / ML model is configured by the network.

[0728] As an example, the second dataset in the AI / ML model is determined by the first node.

[0729] As an example, the second dataset in the AI / ML model includes the stored data of the first node; the stored data may come from the network, the logs of the first node, or other RAN nodes.

[0730] As an example, the second dataset in the AI / ML model includes measurement information of the first node; the measurement information may be the movement state of the first node, such as movement speed, or the number of cells switched within a given time interval; the measurement information may also be measurement results for a reference signal, such as cell-level measurement results, or beam-level measurement results, or time-domain measurement results, or frequency-domain measurement results, or spatial-domain measurement results, or a combination thereof.

[0731] As an example, the first candidate data includes the third dataset in the AI / ML model.

[0732] As an example, the third dataset in the AI / ML model is configured by the network.

[0733] As an example, the third dataset in the AI / ML model is determined by the first node.

[0734] As an example, the third dataset in the AI / ML model includes the stored data of the first node; the stored data may come from the network, the logs of the first node, or other RAN nodes.

[0735] As an example, the third dataset in the AI / ML model includes measurement information of the first node; the measurement information may be the movement state of the first node, such as movement speed, or the number of cells switched within a given time interval; the measurement information may also be measurement results for a reference signal, such as cell-level measurement results, or beam-level measurement results, or time-domain measurement results, or frequency-domain measurement results, or spatial-domain measurement results, or a combination thereof.

[0736] As an example, Example 14 is merely to illustrate that this application can be used in AI / ML models. This example does not limit the application of this application to non-AI / ML operations, nor does it limit the application of this application to other types of AI / ML models to obtain and attach... Example 15 The AI / ML model shown has comparable performance.

[0737] Figure 15

[0738] Example 15 illustrates a schematic diagram of intelligent function deployment in a RAN (Radio Access Network) domain according to an embodiment of this application; as shown in the appendix. Figure 15 As shown. In Example 15, the gNB can be replaced with, for example, an eNB, or a network device such as a 6G base station.

[0739] Intelligent functions in the RAN domain include training (also known as ML training, AI training, or AI / ML training), testing (also known as ML testing, AI testing, or AI / ML testing), and inference (also known as ML inference, AI inference, or AI / ML inference), among others. Training, testing, and inference functions can be deployed independently or co-located. Deployment of intelligent functions can be achieved through software, such as downloading and / or running executable files; or through a combination of software and hardware, such as accelerating specific computing units through hardware to improve processing speed or save power.

[0740] Training functions can be deployed in a cross-domain management system or a domain-specific management system; the domain-specific management system is used to manage the RAN domain or the CN (Core Network) domain. For example, training functions for MDA (Management Data Analytics) can be deployed in MDAF (MDA Function); training functions for network data analytics can be deployed in NWDAF (Network Data Analytics Function), meaning the training function is MTLF (Model Training Logical Function).

[0741] Similarly, inference functions can be deployed in cross-domain management systems or domain-specific management systems; for example, the inference function is an MDAF, or the inference function is an AnLF (Analytics logical function) located in an NWDAF.

[0742] Similarly, testing functionality can also be deployed in cross-domain management systems or domain-specific management systems.

[0743] In embodiment 15, the training function 1702 of the RAN domain is located in the management function 1703 of the RAN domain; while the inference function is located in the base station, that is, inference function 1704 is located in gNB 1705, and inference function 1706 is located in gNB 1707. Figure 15 The ellipsis in the text indicates other gNBs that include other reasoning functions and are not shown.

[0744] Appendix Figure 15 In this context, the management of inference functions for multiple base stations is handled by the RAN domain management function 1703, which interacts with the RAN domain MnS (Management Service) consumer / cross-domain management 1701 (as shown in the attached diagram). Figure 2 (As shown by the dashed arrow 1708 in the image).

[0745] Optionally, the management of inference functions can also be completed by the base station itself, that is, each base station can independently interact with the RAN domain MnS consumer / cross-domain management 1701.

[0746] It should be noted that Embodiment 15 is merely a non-limiting implementation; optionally, the RAN domain training function may also be deployed at the base station; or optionally, some base stations may deploy both inference function and RAN domain training function, while some base stations may only deploy inference function.

[0747] As an example, one of the gNBs (or base stations) in Example 15 is the second node of this application.

[0748] As an example, the appendix described in this application Figure 15 The node 203 in the middle includes the attached Figure 2 In the RAN domain MnS consumer / cross-domain management 1701.

[0749] As an example, the appendix described in this application Figure 15 The node 203 in the middle includes the attached Figure 2 The training function 1702 in the middle.

[0750] As an example, the appendix described in this application Figure 15 The node 203 in the middle includes the attached Figure 2 Management functions in 1703.

[0751] As an example, the appendix described in this application Figure 15 The node 203 in the middle includes the attached Figure 2 The reasoning function in 1705.

[0752] As an example, the appendix described in this application Figure 15 The node 211 in the middle includes the attachedExample 16 In the RAN domain MnS consumer / cross-domain management 1701.

[0753] Figure 16

[0754] Example 16 illustrates a schematic diagram of UE smart function deployment according to an embodiment of this application; as shown in the appendix. Figure 16 As shown. (Attached) Figure 16 The training function 1805 for the RAN domain is optional.

[0755] The UE intelligent function 1804 is deployed in the first node of this application. The UE intelligent function 1804 includes an inference function 1806. The inference function 1806 uses an AI / ML model (also known as an AI model, or an ML model, or an AI / ML model) for inference. An AI / ML model is typically trained before being used for AI / ML inference.

[0756] As an example, the UE intelligent function 1804 includes a RAN domain training function 1805, which runs training data through an AI / ML model to obtain a relevant loss and adjusts the parameters of the AI / ML model based on the calculated loss; the training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0757] The above embodiments can reduce the complexity of the base station, or save air interface resources caused by reporting training data; however, the above embodiments place high demands on the processing capabilities of the UE side.

[0758] Optionally, the UE intelligent function 1804 also includes a CN domain training function. Figure 16 (Not included in the text).

[0759] Optionally, the UE intelligent function 1804 also includes an intelligent deployment function. Figure 4 It does not include the means to load AI / ML models and data.

[0760] As an example, the first node indicates whether it supports training functions (RAN domain or CN domain) through capability reporting. The capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[0761] As an example, the AI / ML model and related metadata are loaded by the first node from a network device or a remote server.

[0762] Optionally, the UE intelligent function 1804 is an MnS (Management Service) producer that provides data to the CN domain MnF (Management Function) 1801, and / or the RAN domain MnF 1802, and / or the cross-domain management system 1803 for management or analysis (as shown by double arrow 1807).

[0763] Optionally, the UE intelligent function 1804 is an MnS consumer that loads data from the CN domain MnF1801, and / or the RAN domain MnF1802, and / or the cross-domain management system 1803 for AI / ML-related management, such as managing data requests, AI / ML model activation, and / or AI / ML model training (as shown by double arrow 1807).

[0764] As an example, the AI / ML model is based on a neural network.

[0765] As an example, the AI / ML model is based on CNN (Conventional Neural Networks).

[0766] As an example, the AI / ML model is based on the Transformer architecture.

[0767] As an example, the appendix described in this application Figure 16 The first communication device 450 in the middle includes an attachment Figure 10 The reasoning function 1806 mentioned above.

[0768] As an example, the appendix described in this application Figure 16 The first processor 1003 in the process includes an appendix Figure 12 The reasoning function 1806 mentioned above.

[0769] As an example, the appendix described in this application Figure 16 The third module includes appendices. Figure 16 The reasoning function 1806 mentioned above.

[0770] As an example, the first node in this application includes an appendix. Figure 16 The reasoning function 1806 mentioned above.

[0771] As one embodiment, the first processor in this application includes an appendix. Figure 16 The reasoning function 1806 mentioned above.

[0772] As an example, the second node in this application includes an appendix. Figure 16 The MnF1802 mentioned above.

[0773] As an example, the second node in this application includes an appendix. Figure 2 The RAN field MnF1802 mentioned in the text.

[0774] As an example, the appendix described in this application Figure 16 The UE201 in the above includes an appendix Figure 2 The reasoning function 1806 mentioned above.

[0775] As an example, the appendix described in this application Figure 16 The UE241 mentioned above includes an appendix. Figure 2 The reasoning function 1806 mentioned above.

[0776] As an example, the appendix described in this application Figure 16 The node 203 in the middle includes an appendix Figure 2 The MnF1801 mentioned above.

[0777] As an example, the appendix described in this application Figure 16 The node 203 in the middle includes an appendix Figure 2 The CN field MnF1801 mentioned in the document.

[0778] As an example, the appendix described in this application Figure 16 The node 203 in the middle includes an appendix Figure 2 The cross-domain management system 1803 mentioned in the document.

[0779] As an example, the appendix described in this application Figure 16 The node 211 in the middle includes attached Figure 2 The MnF1801 mentioned above.

[0780] As an example, the appendix described in this application Figure 16 The node 211 in the middle includes attached Figure 2 The CN field MnF1801 mentioned in the document.

[0781] As an example, the appendix described in this application Figure 16 The node 211 in the middle includes attached Figure 16 The cross-domain management system 1803 mentioned in the document.

[0782] As an example, the first candidate data is scheduled by the UE smart function 1804.

[0783] As an example, the first candidate data is generated by the UE smart function 1804.

[0784] As an example, the first candidate data is for the UE smart function 1804.

[0785] As an example, the first candidate data is attached Example 17 The output of the reasoning function 1806 in the above.

[0786] Figure 17

[0787] Example 17 illustrates a flowchart based on artificial intelligence or machine learning according to an embodiment of this application; as attached. Figure 17 As shown. (Attached) Figure 17 This includes a third, fourth, fifth, sixth, and seventh operation. In Example 17, the third and fourth operations belong to the first stage, the fifth operation belongs to the second stage, the sixth operation belongs to the third stage, and the seventh operation belongs to the fourth stage. (See Appendix...) Example 18 In the diagram, the lines with arrows indicate the sequence of processes.

[0788] As an example, the third operation includes AI / ML training, the fourth operation includes AI / ML testing, the fifth operation includes AI / ML emulation, the sixth operation includes AI / ML entity loading, and the seventh operation includes AI / ML inference.

[0789] As an example, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[0790] As an example, the first stage includes AI / ML model training.

[0791] As an example, the first stage includes AI / ML model training and AI / ML testing.

[0792] As an example, the AI / ML model training includes initial training and re-training of one or a group of AI / ML entities.

[0793] As an example, the training of the AI / ML model depends on training data.

[0794] As an example, the AI / ML model training includes AI / ML entity validation.

[0795] As an example, the AI / ML entity verification is used to evaluate the performance of the AI / ML entity.

[0796] As an example, the AI / ML entity verification relies on verification data.

[0797] As an example, if the AI / ML entity verification results do not meet expectations, the AI / ML model will be retrained.

[0798] As an example, the AI / ML testing includes testing the validated AI / ML entities to estimate the performance of the trained AI / ML model.

[0799] As an example, if the AI / ML test results meet expectations, the AI / ML entity proceeds to the next stage; otherwise, the AI / ML model will be retrained.

[0800] As an example, the AI / ML test relies on test data.

[0801] As one embodiment, the second stage includes AI / ML simulation, which performs AI / ML entity reasoning in a simulation environment.

[0802] As an example, the AI / ML simulation estimates the performance of AI / ML entity reasoning in a simulation environment before using AI / ML entities.

[0803] As one embodiment, the second stage is optional.

[0804] As an example, the third stage includes AI / ML entity loading, which is to obtain trained AI / ML entities to obtain the desired AI / ML inference capabilities.

[0805] As an example, the third stage is optional.

[0806] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[0807] As an example, the fourth stage includes AI / ML inference.

[0808] Figure 18

[0809] Example 18 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in the appendix. Figure 18 As shown. In the appendix Figure 4 In the first node, the processing device 1800 includes a first receiver 1801 and a first transmitter 1802.

[0810] The first receiver 1801 receives a first message; wherein the first message indicates a first time window;

[0811] First transmitter 1802 sends the first signal;

[0812] In Example 18, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

[0813] As one embodiment, the first transmitter 1802 triggers a first data volume report; wherein, the first signaling depends on the prediction that there is first data within the first time window, which means that: as a response to the prediction that there is first data within the first time window, the first data volume report is triggered; as a response to the triggering of the first data volume report, the first signaling is sent.

[0814] As one embodiment, the first transmitter 1802, in response to the prediction that there is second data within the first time window, triggers a second data volume report; wherein the triggering of the second data volume report depends on the temporal order of the first data and the second data; and / or, the triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

[0815] As an example, after predicting that there is first data in the first time window, the first transmitter 1802 triggers a third data volume report as a response to predicting that there is no more first data in the first time window.

[0816] As an example, the first transmitter 1802, after predicting that there is first data within the first time window, cancels at least the first data volume report as a response to predicting that there is no more first data within the first time window.

[0817] As one embodiment, the start time of the first time window depends on a first offset; the first offset is configurable, or the first offset is predefined.

[0818] As one embodiment, the first signaling indicates a first time; wherein the first time depends on the start time or end time of the first time window; or, the first time depends on the predicted arrival time of the first data.

[0819] As one embodiment, the first receiver 1801 receives a second signaling after the first signaling is sent; wherein the second signaling indicates a first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with a first time interval in the time domain; the second signaling indicates the first time interval; or, the first time interval depends on at least one of the first time window or the predicted arrival time of the first data.

[0820] As one embodiment, the first receiver 1801 includes the appendix to this application. Figure 4 The antenna 452, receiver 454, multi-antenna receiver processor 458, receiver processor 456, controller / processor 459, memory 460, or data source 467 are at least one of these.

[0821] As one embodiment, the first receiver 1801 includes the appendix to this application. Figure 4 At least antenna 452 and receiver 454 are included.

[0822] As one embodiment, the first transmitter 1802 includes the appendix to this application. Figure 4 The antenna 452 or transmitter 454 or multi-antenna transmitter processor 457 or transmitter processor 468 or controller / processor 459 or memory 460 or data source 467 is at least one of them.

[0823] As one embodiment, the first transmitter 1802 includes the appendix to this application. Example 19 At least antenna 452 and transmitter 454 are included.

[0824] As an example, the first node is a user equipment.

[0825] As an example, the first node is a base station device.

[0826] As an example, the first node is a relay device.

[0827] Figure 19

[0828] Example 19 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; as shown in the appendix. Figure 19 As shown. In the appendix Figure 4 In the second node, the processing device 1900 includes a second transmitter 1901 and a second receiver 1902.

[0829] The second transmitter 1901 sends a first message; wherein the first message indicates a first time window;

[0830] The second receiver 1902 receives the first signaling;

[0831] In Example 19, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

[0832] As one embodiment, the recipient of the first message triggers a first data volume report; wherein, the first signaling relying on the prediction that there is first data within the first time window means that: as a response to the prediction that there is first data within the first time window, the first data volume report is triggered; and as a response to the triggering of the first data volume report, the first signaling is sent.

[0833] As an example, in response to the prediction that there is second data within the first time window, the receiver of the first message triggers a second data volume report; wherein, the triggering of the second data volume report depends on the temporal order of the first data and the second data; and / or, the triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

[0834] As an example, after it is predicted that there is first data within the first time window, in response to the prediction that there is no more first data within the first time window, the recipient of the first message triggers a third data volume report.

[0835] As an example, after it is predicted that there is first data within the first time window, in response to the prediction that there is no more first data within the first time window, the recipient of the first message cancels at least the first data volume report.

[0836] As one embodiment, the start time of the first time window depends on a first offset; the first offset is configurable, or the first offset is predefined.

[0837] As one embodiment, the first signaling indicates a first time; wherein the first time depends on the start time or end time of the first time window; or, the first time depends on the predicted arrival time of the first data.

[0838] As one embodiment, the second transmitter 1901, after receiving the first signaling, sends a second signaling; wherein the second signaling indicates a first time-frequency resource; whether the first time-frequency resource is valid depends on whether the first time-frequency resource overlaps with a first time interval in the time domain; the second signaling indicates the first time interval; or, the first time interval depends on at least one of the first time window or the predicted arrival time of the first data.

[0839] As one embodiment, the second transmitter 1901 includes the appendix to this application. Figure 4 The antenna 420, transmitter 418, multi-antenna transmitter processor 471, transmitter processor 416, controller / processor 475, or memory 476 are at least one of them.

[0840] As one embodiment, the second transmitter 1901 includes the appendix to this application. Figure 4 At least antenna 420 and transmitter 418 are included.

[0841] As one embodiment, the second receiver 1902 includes the appendix to this application. Figure 4 The antenna 420, receiver 418, multi-antenna receiver processor 472, receiver processor 470, controller / processor 475, or memory 476 are at least one of these.

[0842] As one embodiment, the second receiver 1902 includes the appendix to this application. Example 20 At least antenna 420 and receiver 418 are included.

[0843] As one example, the second node is a base station device.

[0844] As one example, the second node is a relay device.

[0845] Figure 20

[0846] Example 20 illustrates a schematic diagram of a time window according to an embodiment of this application, as shown in the attached diagram. Figure 13 As shown.

[0847] In embodiment 20, the first signaling includes the predicted amount of data within K1 time windows; the first time window is one of the K1 time windows; the K1 time windows do not overlap in the time domain.

[0848] As an example, the K1 time windows are continuous in the time domain.

[0849] As an example, any two of the K1 time windows have the same length.

[0850] As an example, the length of any one of the K1 time windows is configurable.

[0851] As an example, the length of any one of the K1 time windows is predicted.

[0852] As an example, the first signaling indicates the K1 time windows.

[0853] As an example, the first signaling indicates the index of the K1 time windows.

[0854] As an example, the index of the K1 time windows indicates the temporal order of the K1 time windows.

[0855] As an example, the first signaling indicates the start time of the earliest time window in the time domain among the K1 time windows.

[0856] As an example, the first signaling indicates a first time; wherein the first time depends on the start time of the first time window; the first time window is the earliest time window in the time domain among the K1 time windows.

[0857] As a non-limiting embodiment, the first signaling in embodiment 13 is a MAC CE, the format of the first signaling is a second candidate format, the second candidate format can indicate multiple prediction cache information, each prediction cache information occupies at least one consecutive octet; each prediction cache information includes a predicted amount of data; the second candidate format indicates a time, the time does not belong to the prediction cache information; the time is the start time of the earliest time window in the time domain among the K1 time windows.

[0858] As a sub-implementation, the appendix Figure 13 The object in it is a time window.

[0859] As a sub-implementation, the appendix Figure 13 The bitmap in the file does not exist.

[0860] As a sub-implementation, the appendix Figure 13 The bitmap exists in the database.

[0861] As a sub-implementation, the appendix ​Object 0 corresponds to time window #1, object 1 corresponds to time window #2, and so on.

[0862] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication devices, wireless sensors, internet cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B), TRP (Transmitter Receiver Point), and other wireless communication equipment.

[0863] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A first node used for wireless communication, characterized in that, include: A first receiver receives a first message; wherein the first message indicates a first time window; The first transmitter sends the first signal; Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

2. The first node according to claim 1, characterized in that, include: The first transmitter triggers the first data volume report; Wherein, the first signaling depends on the prediction that there is first data within the first time window means that: as a response to the prediction that there is first data within the first time window, the first data volume report is triggered; and as a response to the triggering of the first data volume report, the first signaling is sent.

3. The first node according to claim 2, characterized in that, include: The first transmitter, in response to the prediction that there is second data within the first time window, triggers a second data volume report; The triggering of the second data volume report depends on the temporal order of the first data and the second data; And / or, The triggering of the second data volume report depends on the first timer not running; wherein, the first timer is started along with the triggering of the first data volume report.

4. The first node according to claim 2 or 3, characterized in that, include: The first transmitter, after predicting that there is first data within the first time window, triggers a third data volume report as a response to predicting that there is no more first data within the first time window.

5. The first node according to claim 2 or 3, characterized in that, include: The first transmitter, after predicting that there is first data within the first time window, cancels at least the first data volume report as a response to predicting that there will be no more first data within the first time window.

6. The first node according to any one of claims 1 to 5, characterized in that, The start time of the first time window depends on a first offset; the first offset is configurable, or the first offset is predefined.

7. The first node according to any one of claims 1 to 6, characterized in that, The first signaling indicates a first time; wherein the first time depends on the start time or end time of the first time window; or, The first time depends on the predicted arrival time of the first data.

8. The first node according to any one of claims 1 to 7, characterized in that, include: The first receiver receives the second signaling after the first signaling is sent; Wherein, the second signaling indicates the first time-frequency resource; Whether the first time-frequency resource is effective depends on whether the first time-frequency resource overlaps with the first time interval in the time domain; the second signaling indicates the first time interval; or, The first time interval depends on at least one of the first time window or the predicted arrival time of the first data.

9. A method used in a first node of wireless communication, characterized in that, include: Receive a first message; wherein the first message indicates a first time window; Send the first signaling; Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

10. A second node used for wireless communication, characterized in that, include: The second transmitter sends a first message; wherein the first message indicates a first time window; The second receiver receives the first signaling; Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

11. A method used in a second node for wireless communication, characterized in that, include: Send a first message; wherein the first message indicates a first time window; Receive the first signaling; Wherein, the first signaling indicates the predicted amount of data; the first signaling depends on the prediction that there is first data within the first time window.

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