Method for communication node used for wireless communications, and apparatus

Abstract

Disclosed in the present application are a method for a communication node used for wireless communications, and an apparatus. The method comprises: a communication node receiving a first RRC message, the first RRC message configuring a first-type measurement; and, in response to detecting internal overheating, sending first assistance information, the first assistance information comprising overheating assistance information, and the overheating assistance information indicating at least the first-type measurement. The solution provided by the present application takes into consideration the effect of the first-type measurement or an intelligent model, and the solution in which the overheating assistance information indicates at least the first-type measurement or the intelligent model effectively solves the problem of internal overheating and reduces effects on system performance.

Description

A method and apparatus for use in a communication node for wireless communication Technical Field

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and more particularly to a solution and apparatus for solving internal overheating. Background Art

[0002] With the continuous development of wireless communications and the increasing diversification of demands, the 3GPP (the 3rd Generation Partnership Project) will further enhance some key technologies in its future evolution. For example, it will apply AI Artificial Intelligence (AI) or ML (Machine Learning) to mobility to improve mobility performance; further research on Network Energy Saving (NES) to reduce environmental impact; further research on the deployment and application of NTN (Non-Terrestrial Networks) technology; and further research on LP-WUS (Low-power Wake-Up Signal) / WUR (Wake-Up Radio) technology to reduce UE power consumption. Summary of the Invention

[0003] In the prior art, to address internal overheating issues, when a user equipment (UE) detects internal overheating, it sends overheating assistance information to the network. This information includes the aggregated bandwidth and / or the number of MIMO (Multiple Input Multiple Output) layers and / or the number of secondary component carriers that the UE prefers to be temporarily configured. This assists the network in reconfiguring the UE to address the internal overheating issue.

[0004] Through research, the inventors discovered that to better implement certain specific functions, especially but not limited to AI / ML, the UE needs to perform measurements for these functions. This results in an increase in measurements and / or calculations, making the UE more susceptible to internal overheating. Relying solely on existing overheating assistance information is difficult to effectively address internal overheating issues or the impact on system performance caused by reductions in aggregate bandwidth and / or the number of MIMO layers and / or secondary carriers. Therefore, resolving internal overheating issues is a pressing issue.

[0005] To address the above-mentioned issues, this application provides a solution to internal overheating. While the NR (New Radio) system is used as an example in the description of the above-mentioned issues, this application is also applicable to scenarios such as LTE (Long-Term Evolution), LTE-A (LTE Advanced), or future 6G systems, achieving similar technical effects as NR systems. Furthermore, while this application provides specific implementations for 3GPP scenarios, it can also be applied to scenarios such as WiFi, Bluetooth, and BigZee, achieving similar technical effects as 3GPP scenarios. Furthermore, adopting a unified design for different scenarios can also help reduce hardware complexity and cost. Furthermore, while this application provides specific implementations for Type 1 measurement that relies on measurement, it can also be applied to scenarios with hardware or software overload, achieving similar technical effects as Type 1 measurement that relies on measurement. Furthermore, while this application provides specific implementations for internal overheating, it can also be applied to power-saving scenarios, achieving similar technical effects as those for internal overheating. Furthermore, although the original intention of this application is for the Uu air interface, this application can also be used for the PC5 port to achieve technical effects similar to the Uu air interface. Furthermore, although the original intention of this application is for the terminal and base station scenario, this application is also applicable to the V2X (Vehicle-to-Everything) scenario, the communication scenario between the terminal and the relay, and the relay and the base station, to achieve technical effects similar to those in the terminal and base station scenario. Furthermore, although the original intention of this application is for the terminal and base station scenario, this application is also applicable to the IAB (Integrated Access and Backhaul) communication scenario, to achieve technical effects similar to those in the terminal and base station scenario. Furthermore, although the original intention of this application is for the terrestrial network (TN) scenario, this application is also applicable to the non-terrestrial network (NTN) communication scenario, to achieve technical effects similar to those in the TN scenario. In addition, adopting a unified solution for different scenarios also helps reduce hardware complexity and cost.

[0006] As an embodiment, the interpretation of terminology in this application refers to the definition of 3GPP specification protocol TS36 series.

[0007] As an embodiment, the interpretation of the terms in this application refers to the definition of the 3GPP specification protocol TS38 series.

[0008] As an embodiment, the interpretation of the terms in this application refers to the definitions of the 3GPP specification protocol TS37 series.

[0009] It should be noted that, in the absence of conflict, the embodiments and features in any node of the present application can be applied to any other node. In the absence of conflict, the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other.

[0010] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0011] receiving a first RRC (Radio Resource Control) message, where the first RRC message configures the first type of measurement;

[0012] In response to detecting internal overheating, sending first assistance information, the first assistance information including overheating assistance information;

[0013] The superheat assistance information indicates at least the first type of measurement.

[0014] As an embodiment, the problem to be solved by the present application includes: how to effectively solve the problem of internal overheating.

[0015] As an embodiment, the problem to be solved by this application includes: how to reduce the impact on system performance.

[0016] As an embodiment, the above method has the feature that at least the first type of measurement is indicated by the overheat auxiliary information, thereby solving the internal overheating problem.

[0017] As an embodiment, the benefits of the above method include: effectively solving the internal overheating problem.

[0018] As an embodiment, the benefits of the above method include: reducing the impact on system performance.

[0019] As an embodiment, the benefits of the above method include: the overheat assistance information takes the first type of measurement into consideration, reducing the impact on the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers.

[0020] As an embodiment, the benefits of the above method include: balancing the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers and the performance gain of the first type of measurement.

[0021] According to one aspect of the present application, it is characterized by comprising:

[0022] After the first auxiliary information is sent, receiving first signaling;

[0023] The first signaling indicates updating of at least the first type of measurement.

[0024] According to one aspect of the present application, it is characterized by comprising:

[0025] Sending a second RRC message;

[0026] The second RRC message indicates that the first node supports at least the first type of measurement.

[0027] According to one aspect of the present application, it is characterized in that the overheat assistance information indicates that at least the first type of measurement depends on the first node's preference to temporarily reduce UE capability for at least the first type of measurement.

[0028] As an embodiment, the characteristics of the above method include: reducing the UE capability for at least the first type of measurement based on the reporting of the first node, thereby reducing the impact on the first node.

[0029] As an embodiment, the characteristics of the above method include: reducing protocol impact.

[0030] According to one aspect of the present application, it is characterized in that the first type of measurement is a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

[0031] As an embodiment, the characteristics of the above method include: the overheating auxiliary information takes into account the influence of the intelligent model, thereby solving the internal overheating problem.

[0032] As an embodiment, the benefits of the above method include: the overheat auxiliary information takes into account an intelligent model, reducing the impact on the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers.

[0033] As an embodiment, the benefits of the above method include: balancing the performance gain of the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers and the intelligent model.

[0034] According to one aspect of the present application, it is characterized in that the overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node favors.

[0035] As an embodiment, the characteristics of the above method include: the overheating auxiliary information takes into account the influence of the number or type of intelligent models, thereby solving the internal overheating problem.

[0036] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0037] Sending a first RRC message, wherein the first RRC message configures a first type of measurement;

[0038] receiving first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0039] Wherein, the first auxiliary information is sent in response to detecting internal overheating; the overheat auxiliary information indicates at least the first type of measurement.

[0040] According to one aspect of the present application, it is characterized by comprising:

[0041] After the first auxiliary information is received, sending first signaling;

[0042] The first signaling indicates updating of at least the first type of measurement.

[0043] According to one aspect of the present application, it is characterized by comprising:

[0044] receiving a second RRC message;

[0045] The second RRC message indicates that the sender of the first assistance information supports at least the first type of measurement.

[0046] According to one aspect of the present application, it is characterized in that the overheat assistance information indicates that at least the first type of measurement depends on the sender of the first assistance information tending to temporarily reduce UE capabilities for at least the first type of measurement.

[0047] According to one aspect of the present application, it is characterized in that the first type of measurement is a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

[0048] According to one aspect of the present application, the overheating auxiliary information indicates at least one of the number or type of intelligent models preferred by the sender of the first auxiliary information.

[0049] The present application discloses a first node used for wireless communication, characterized by comprising:

[0050] A first receiver receives a first RRC message, where the first RRC message configures the first type of measurement;

[0051] a first transmitter, in response to detecting internal overheating, transmitting first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0052] The superheat assistance information indicates at least the first type of measurement.

[0053] The present application discloses a second node used for wireless communication, characterized by comprising:

[0054] A second transmitter sends a first RRC message, where the first RRC message configures a first type of measurement;

[0055] a second receiver, receiving first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0056] Wherein, the first auxiliary information is sent in response to detecting internal overheating; the overheat auxiliary information indicates at least the first type of measurement.

[0057] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0058] Receiving a first RRC message, wherein the first RRC message configures the first intelligent model;

[0059] In response to detecting internal overheating, sending first auxiliary information, the first auxiliary information including overheat auxiliary information;

[0060] Wherein, the overheating auxiliary information indicates at least the first intelligent model.

[0061] According to one aspect of the present application, it is characterized by comprising:

[0062] The first receiver receives first signaling after the first auxiliary information is sent;

[0063] Wherein, the first signaling indicates updating at least the first intelligent model.

[0064] According to one aspect of the present application, it is characterized by comprising:

[0065] The first transmitter sends a second RRC message;

[0066] The second RRC message indicates that the first node supports at least the first intelligent model.

[0067] According to one aspect of the present application, it is characterized in that the overheat assistance information indicates that at least a first intelligent model relies on the first node to tend to temporarily reduce UE capabilities for at least the first intelligent model.

[0068] According to one aspect of the present application, it is characterized in that the overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node favors.

[0069] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0070] Sending a first RRC message, wherein the first RRC message configures a first intelligent model;

[0071] receiving first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0072] Wherein, in response to detecting internal overheating, the first auxiliary information is sent; the overheating auxiliary information indicates at least the first intelligent model.

[0073] According to one aspect of the present application, it is characterized by comprising:

[0074] After the first auxiliary information is received, sending first signaling;

[0075] Wherein, the first signaling indicates updating at least the first intelligent model.

[0076] According to one aspect of the present application, it is characterized by comprising:

[0077] receiving a second RRC message;

[0078] The second RRC message indicates that the sender of the first auxiliary information supports at least the first intelligent model.

[0079] According to one aspect of the present application, it is characterized in that the overheat assistance information indicates that at least a first intelligent model relies on the sender of the first assistance information to temporarily reduce the UE capability for the at least first intelligent model.

[0080] According to one aspect of the present application, the overheating auxiliary information indicates at least one of the number or type of intelligent models preferred by the sender of the first auxiliary information.

[0081] The present application discloses a first node used for wireless communication, characterized by comprising:

[0082] A first receiver receives a first RRC message, wherein the first RRC message configures the first intelligent model;

[0083] a first transmitter, in response to detecting internal overheating, transmitting first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0084] Wherein, the overheating auxiliary information indicates at least the first intelligent model.

[0085] The present application discloses a second node used for wireless communication, characterized by comprising:

[0086] A second transmitter sends a first RRC message, wherein the first RRC message configures a first intelligent model;

[0087] a second receiver, receiving first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information;

[0088] Wherein, in response to detecting internal overheating, the first auxiliary information is sent; the overheating auxiliary information indicates at least the first intelligent model.

[0089] As an example, compared with traditional solutions, this application has the following advantages:

[0090] -.Effectively solved the internal overheating problem;

[0091] -. Reduce the impact on system performance;

[0092] -. The overheat assistance information takes into account the first type of measurement / intelligent model, reducing the impact on the aggregate bandwidth and / or the number of MIMO layers and / or the number of secondary carriers;

[0093] -. Balancing the performance gain of the aggregated bandwidth and / or number of MIMO layers and / or number of secondary carriers with the first type of measurement / intelligent model. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Other features, objects and advantages of the present application will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0095] FIG1 shows a flow chart of transmission of first auxiliary information according to an embodiment of the present application;

[0096] FIG2 shows a schematic diagram of a network architecture according to an embodiment of the present application;

[0097] FIG3 is a schematic diagram showing an embodiment of a radio protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0098] FIG4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application;

[0099] FIG5 shows a wireless signal transmission flow chart according to an embodiment of the present application;

[0100] FIG6 is a schematic diagram showing that overheat assistance information indicates that at least the first type of measurement depends on a first node that is biased to temporarily reduce UE capabilities for at least the first type of measurement according to an embodiment of the present application;

[0101] FIG7 shows a schematic diagram of a first type of measurement for a first intelligent model according to an embodiment of the present application;

[0102] FIG8 is a schematic diagram showing at least one of the number or type of intelligent models that the first node is biased toward, indicated by overheating auxiliary information according to an embodiment of the present application;

[0103] FIG9 shows a schematic diagram of first signaling according to an embodiment of the present application;

[0104] FIG10 shows a schematic diagram of a second RRC message according to an embodiment of the present application;

[0105] FIG11 shows a schematic diagram of a first intelligent model according to an embodiment of the present application;

[0106] FIG12 shows a structural block diagram of a processing device used in a first node according to an embodiment of the present application;

[0107] FIG13 shows a structural block diagram of a processing device used in a second node according to an embodiment of the present application. DETAILED DESCRIPTION

[0108] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other in any way.

[0109] Example 1

[0110] Example 1 illustrates a flowchart of the transmission of first auxiliary information according to an embodiment of the present application, as shown in Figure 1. In Figure 1, each box represents a step, and it is particularly important to emphasize that the order of the boxes in the figure does not represent the temporal sequence between the steps represented.

[0111] In Example 1, the first node in the present application receives a first RRC message in step 101, where the first RRC message configures a first type of measurement; in step 102, as a response to detecting internal overheating, sends first auxiliary information, where the first auxiliary information includes overheating auxiliary information; wherein the overheating auxiliary information indicates at least the first type of measurement.

[0112] As an embodiment, the first node has the ability to provide overheat assistance information in RRC_CONNECTED.

[0113] As an embodiment, the first node is configured to report overheating auxiliary information.

[0114] As an embodiment, the first RRC message includes an otherConfig, the otherConfig includes an overheatingAssistanceConfig, and the overheatingAssistanceConfig is set to setup.

[0115] As an embodiment, the first RRC message is broadcast.

[0116] As an embodiment, the first RRC message is cell common.

[0117] As an embodiment, the first RRC message is transmitted via CCCH (Common Control Channel).

[0118] As an embodiment, the first RRC message is a SIB1 (System Information Block 1) message.

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

[0120] As an embodiment, the first RRC message is UE specific.

[0121] As an embodiment, the first RRC message is transmitted via a DCCH (Dedicated Control Channel).

[0122] As an embodiment, the first RRC message is transmitted via SCCH (Sidelink Control Channel).

[0123] As an embodiment, the first RRC message is an RRCReconfiguration message.

[0124] As an embodiment, the first RRC message belongs to an RRCReconfiguration message.

[0125] As an embodiment, the first RRC message configures at least one measurement, and the at least one measurement includes the first type of measurement.

[0126] As an embodiment, the first type of measurement is associated with a MeasObjectId.

[0127] As an embodiment, the first type of measurement is indicated by a MeasObjectId.

[0128] As an embodiment, the first type of measurement is associated with a measId.

[0129] As an embodiment, the first RRC message includes an IE whose name includes MeasObject, and the IE whose name includes MeasObject configures the first type of measurement.

[0130] As an embodiment, the first RRC message includes a MeasObjectNR, and the MeasObjectNR configures the first type of measurement.

[0131] As an embodiment, a name of a field in the first RRC message indicates the first type of measurement; a field in the first RRC message configures the first type of measurement.

[0132] As a sub-embodiment of the above embodiment, the name of the field includes MeasObject.

[0133] As a sub-embodiment of the above embodiment, the name of the domain includes ReportConfigNR.

[0134] As a sub-embodiment of the above embodiment, the name of the domain includes -rX, where X is an integer not less than 19.

[0135] As a sub-embodiment of the above embodiment, the name of the domain includes -rX00, where X is an integer not less than 19.

[0136] As an embodiment, the first RRC message includes a field indicating the first type of measurement; the first RRC message configures the first type of measurement.

[0137] As a sub-embodiment of the above embodiment, the domain belongs to an IE whose name includes MeasObject.

[0138] As a sub-embodiment of the above embodiment, the domain belongs to an IE whose name includes ReportConfigNR.

[0139] As a sub-embodiment of the above embodiment, the domain belongs to a MeasObjectNR.

[0140] As a sub-embodiment of the above embodiment, the one domain belongs to one ReportConfigNR.

[0141] As a sub-embodiment of the above embodiment, the one domain belongs to one MeasIdToAddMod.

[0142] As a sub-embodiment of the above embodiment, the name of the domain includes -rX, where X is an integer not less than 19.

[0143] As a sub-embodiment of the above embodiment, the name of the domain includes -rX00, where X is an integer not less than 19.

[0144] As an embodiment, X is the version number of 3GPP Release.

[0145] As an embodiment, X is 19.

[0146] As an embodiment, X is 20.

[0147] As an embodiment, X is 21.

[0148] As an embodiment, the first type of measurement is for beam management (BM).

[0149] As an embodiment, the first type of measurement is for handover (HO).

[0150] As an embodiment, the first type of measurement is for changing a PCell (Primary Cell).

[0151] As an embodiment, the first type of measurement is for changing a PSCell (Primary SCG (Secondary Cell Group) Cell).

[0152] As an embodiment, the first type of measurement is LTM (L1 / L2 Triggered Mobility).

[0153] As an embodiment, the first type of measurement is CHO (Conditional handover).

[0154] As an embodiment, the first type of measurement is CPC (Conditional PSCell change).

[0155] As an embodiment, the first type of measurement includes a measurement of computational complexity.

[0156] As an embodiment, the first type of measurement includes measurement for a given wireless signal.

[0157] As an embodiment, the first type of measurement refers to measurement of a given wireless signal.

[0158] As an embodiment, the given wireless signal is a downlink (DL) signal.

[0159] As an embodiment, the given wireless signal is a sidelink (SL) signal.

[0160] As an embodiment, the given wireless signal is a periodic signal.

[0161] As an embodiment, the given wireless signal is a reference signal (Reference Signal).

[0162] As an embodiment, the given wireless signal is SSB (SS (Synchronization Signal) / PBCH (Physical broadcast channel) block, or Synchronization Signal Block)).

[0163] As an embodiment, the given wireless signal is CSI (Channel State Information)-RS.

[0164] As an embodiment, the given wireless signal is SSB or CSI-RS.

[0165] As an embodiment, the given wireless signal is preconfigured.

[0166] As an embodiment, the given wireless signal is configured for intelligent model-based measurement.

[0167] As an embodiment, the given wireless signal is configured for AI / ML based measurement.

[0168] As an embodiment, the first type of measurement includes measurement for a given performance indicator.

[0169] As an embodiment, the first type of measurement is a measurement for a given performance indicator.

[0170] As an embodiment, the given performance metric is RSRP (Reference Signal Received Power).

[0171] As an embodiment, the given performance indicator is RSRQ (Reference Signal Received Quality).

[0172] As an embodiment, the given performance indicator is SINR (Signal to Interference plus Noise Ratio).

[0173] As an embodiment, the given performance indicator is BLER (Block Error Ratio).

[0174] As an embodiment, the given performance indicator is interference.

[0175] As an embodiment, the given performance indicator is NMSE (Normalized Mean Square Error).

[0176] As an embodiment, the given performance indicator is SGCS (Squared Generalized Cosine Similarity).

[0177] As an embodiment, the given performance indicator is overheating.

[0178] As an embodiment, the given performance indicator is temperature.

[0179] As an embodiment, the given performance indicator is computational complexity.

[0180] As an embodiment, the given performance indicator is FLOP.

[0181] As an embodiment, the given performance indicator is mean UPT (User Perceived Throughput).

[0182] As an embodiment, the given performance indicator is CSI overhead reduction.

[0183] As an embodiment, the given performance indicator is monitoring accuracy.

[0184] As an embodiment, the given performance indicator includes at least one of NMSE or SGCS or computational complexity or FLOP or average UPT or CSI overhead reduction or monitoring accuracy.

[0185] As an embodiment, the first type of measurement includes statistics.

[0186] As an embodiment, the first type of measurement includes position measurement.

[0187] As an embodiment, the first type of measurement includes time measurement.

[0188] As an embodiment, the first type of measurement includes prediction.

[0189] As an embodiment, the first type of measurement is based on model training.

[0190] As an embodiment, the first type of measurement is used for model training.

[0191] As an embodiment, the measurement result based on the first type of measurement is used to trigger a first type of report.

[0192] As an embodiment, the first RRC message configures the first type of measurement and the first type of report.

[0193] As an embodiment, the first type of measurement is for the first type of report.

[0194] As an embodiment, when a measurement result based on the first type of measurement meets at least a first threshold, the first type of report is triggered.

[0195] As an embodiment, the measurement result based on the first type of measurement and the first threshold use the same performance indicator.

[0196] As an embodiment, the first type of report is a report.

[0197] As an embodiment, the first type of report is a measurement report.

[0198] As an embodiment, the first type report includes a measurement result based on the first type measurement.

[0199] As an embodiment, the measurement result based on the first type of measurement is predicted.

[0200] As an embodiment, the measurement result based on the first type of measurement is inferred.

[0201] As an embodiment, the measurement result based on the first type of measurement is an actual measurement.

[0202] As an embodiment, the measurement result based on the first type of measurement includes the measured cell.

[0203] As an embodiment, the measurement result based on the first type of measurement includes an identifier of the measured cell.

[0204] As an embodiment, the measurement result based on the first type of measurement includes a ranking of the measured cells.

[0205] As an embodiment, the measurement result based on the first type of measurement includes the measured RS resources.

[0206] As an embodiment, the measurement result based on the first type of measurement includes an index of the measured RS resource.

[0207] As an embodiment, the measurement result based on the first type of measurement includes a ranking of the measured RS resources.

[0208] As an embodiment, the measurement result based on the first type of measurement includes an index of the first intelligence model.

[0209] As an embodiment, the measurement result based on the first type of measurement includes indexes of multiple intelligent models; the multiple intelligent models include the first intelligent model.

[0210] As an embodiment, the first type of report is associated with a ReportConfigId.

[0211] As an embodiment, the first type of report is indicated by a ReportConfigId.

[0212] As an embodiment, the first type report is associated with a measId.

[0213] As an embodiment, the first RRC message includes an IE whose name includes ReportConfig, and the IE whose name includes ReportConfig configures the first type of report.

[0214] As an embodiment, the first RRC message includes a ReportConfigNR, and the ReportConfigNR configures the first type of report.

[0215] As an embodiment, the first type of measurement and the first type of report are associated with the same measId.

[0216] As an embodiment, the first RRC message includes a MeasIdToAddMod, the MeasIdToAddMod includes a MeasObjectId and a ReportConfigId, the MeasObjectId indicates the first type of measurement, and the ReportConfigId indicates the first type of report.

[0217] As an embodiment, the first RRC message configures the first type of measurement and the first event.

[0218] As an embodiment, the first type of measurement is for the first event.

[0219] As an embodiment, a measurement result based on the first type of measurement is used to trigger the first event.

[0220] As an embodiment, the first event is triggered when a measurement result based on the first type of measurement meets at least a second threshold.

[0221] As an embodiment, the measurement result based on the first type of measurement and the second threshold use the same performance indicator.

[0222] As an embodiment, the first event is LTM.

[0223] As an embodiment, the first event is CHO.

[0224] As an embodiment, the first event is CPC.

[0225] As an embodiment, the detection of internal overheating triggers the sending of the first auxiliary information.

[0226] As an embodiment, the detection of internal overheating triggers updating of at least the first type of measurement, and the updating of at least the first type of measurement triggers sending the first auxiliary information.

[0227] As an example, the phrase in response to detecting internal overheating refers to: when internal overheating is detected.

[0228] As an example, the phrase in response to detecting internal overheating refers to: upon detecting internal overheating.

[0229] As an example, the phrase in response to detecting internal overheating refers to: accompanying the detection of internal overheating.

[0230] As an example, the phrase in response to detecting internal overheating refers to: when internal overheating is experienced.

[0231] As an example, the phrase in response to detecting an internal overheat refers to when an overheat condition is met.

[0232] As an example, the phrase in response to detecting internal overheating means: after at least detecting internal overheating.

[0233] As an example, the phrase in response to detecting internal overheating refers to if the overheating condition has been detected.

[0234] As an embodiment, the detecting of internal overheating refers to experiencing internal overheating.

[0235] As an embodiment, the detecting of internal overheating means that an overheating condition has been detected.

[0236] As an embodiment, the first node determines that internal overheating is detected based on UE implementation.

[0237] As an embodiment, the first node determines that internal overheating is detected when receiving an indication from a higher layer.

[0238] As an embodiment, the first node determines that internal overheating is detected when receiving an indication from a lower layer.

[0239] As an embodiment, when the internal overheating reaches the overheating threshold, it is determined that the internal overheating is detected; the first RRC message includes an overheating threshold.

[0240] As an embodiment, when the temperature reaches the overheating threshold, it is determined that internal overheating is detected; the first RRC message includes an overheating threshold.

[0241] As an embodiment, the first timer is not running when the internal overheating is detected.

[0242] As an embodiment, the first timer is not configured.

[0243] As an embodiment, the first timer is not running.

[0244] As an embodiment, the first timer is a T345.

[0245] As an embodiment, the maximum running time of the first timer is configured by an overheatingIndicationProhibitTimer field.

[0246] As an embodiment, the first auxiliary information is transmitted via an uplink (UL).

[0247] As an embodiment, the first auxiliary information is transmitted via a side link (Sidelink, SL).

[0248] As an embodiment, the first auxiliary information is an air interface message.

[0249] As an embodiment, the first auxiliary information is a UE specific message.

[0250] As an embodiment, the first auxiliary information is mapped to DCCH.

[0251] As an embodiment, the first auxiliary information is mapped to SCCH.

[0252] As an embodiment, the first auxiliary information is sent via SRB1 (Signalling Radio Bearer 1).

[0253] As an embodiment, the first auxiliary information is sent via SRB3 (Signalling Radio Bearer 3).

[0254] As an embodiment, the first auxiliary information includes UE auxiliary information.

[0255] As an embodiment, the name of the first assistance information includes AssistanceInformation.

[0256] As an embodiment, the name of the first assistance information includes UEAssistanceInformation.

[0257] As an embodiment, the first assistance information includes a UEAssistanceInformation message.

[0258] As an embodiment, the first assistance information is a UEAssistanceInformation message.

[0259] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information indicates that the first node detects internal overheating.

[0260] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information indicates that the UE capability has been reduced by the first node in order to solve the internal overheating.

[0261] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information instructs the first node to request to reduce UE capabilities in order to resolve internal overheating.

[0262] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information indicates the UE capability that the first node prefers to solve internal overheating.

[0263] As an embodiment, the first auxiliary information including overheating auxiliary information means that: the first auxiliary information is the overheating auxiliary information.

[0264] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information is the overheating auxiliary information.

[0265] As an embodiment, the first auxiliary information includes overheating auxiliary information, which means that the first auxiliary information provides the overheating auxiliary information.

[0266] As an embodiment, the first auxiliary information including overheating auxiliary information means that the first auxiliary information indicates the overheating auxiliary information.

[0267] As an embodiment, the overheat assistance information includes at least one RRC (Radio Resource Control) IE (Information Element).

[0268] As an embodiment, the overheat assistance information includes at least one RRC field.

[0269] As an embodiment, the name of the overheating auxiliary information includes Overheating.

[0270] As an embodiment, the name of the overheating assistance information includes OverheatingAssistance.

[0271] As an embodiment, the overheating assistance information includes an OverheatingAssistance IE.

[0272] As an embodiment, the overheating assistance information is an OverheatingAssistance IE.

[0273] As an embodiment, the overheat assistance information indicates a capability configuration that the first node is biased towards.

[0274] As an embodiment, the overheating auxiliary information indicates the adjusted capability configuration of the first node.

[0275] As an embodiment, the biased refers to: expected.

[0276] As an embodiment, the preference refers to: recommended.

[0277] As an embodiment, the biased refers to: requested.

[0278] As an embodiment, the biased refers to: biased towards being configured.

[0279] As an embodiment, the bias refers to: a bias towards being temporarily configured.

[0280] As an embodiment, the superheat auxiliary information explicitly indicates the first type of measurement.

[0281] As an embodiment, the superheat auxiliary information implicitly indicates the first type of measurement.

[0282] As an embodiment, the superheat assistance information indicates only the first type of measurement.

[0283] As an embodiment, the overheat assistance information indicates a plurality of measurements, and the first type of measurement is one of the plurality of measurements.

[0284] As an embodiment, the overheat assistance information indicates a reduced capacity configuration.

[0285] As an embodiment, the overheat assistance information indicates reducing the capability configuration for the first type of measurement.

[0286] As an embodiment, the overheat assistance information indicates that the reduced capability configuration includes the capability configuration for the first type of measurement.

[0287] As an embodiment, the overheat assistance information indicates that the reduced capability configuration is a capability configuration for the first type of measurement.

[0288] As an embodiment, the overheat assistance information indicates a capability configuration that the first node is biased towards.

[0289] As an embodiment, the overheat assistance information indicates a capability configuration preferred by the first node for the first type of measurement.

[0290] As an embodiment, the capability configuration of the first node preference indicated by the overheat assistance information includes capability configuration for the first type of measurement.

[0291] As an embodiment, the capability configuration of the first node preference indicated by the overheat assistance information is a capability configuration for the first type of measurement.

[0292] As an embodiment, the overheat assistance information requests an update of at least the first type of measurement.

[0293] As an embodiment, the overheat assistance information indicates a reason for requesting to update at least the first type of measurement.

[0294] As an embodiment, the overheat assistance information indicates that the reason for requesting to update at least the first type of measurement includes detection of internal overheating.

[0295] As an embodiment, the overheat assistance information indicates that the first node has updated at least the first type of measurement.

[0296] As an embodiment, the overheat assistance information indicates updating of at least the result of the first type of measurement.

[0297] As an embodiment, the overheat assistance information indicates a reason for updating at least the first type of measurement.

[0298] As an embodiment, the overheat assistance information indicates at least measId of the first type of measurement.

[0299] As an embodiment, the overheat assistance information indicates at least the former of the first type measurement, the aggregated bandwidth, the number of MIMO layers, and the number of secondary carriers.

[0300] As an embodiment, the overheat assistance information indicates an aggregate bandwidth; and the first node tends to reduce the aggregate bandwidth.

[0301] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all downlink carriers in the temporarily configured FR1.

[0302] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all uplink carriers of the temporarily configured FR1.

[0303] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all downlink carriers of the temporarily configured FR2-1.

[0304] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all uplink carriers of the temporarily configured FR2-1.

[0305] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all downlink carriers of the temporarily configured FR2-2.

[0306] As a sub-embodiment of the above embodiment, the overheat assistance information indicates that the first node is biased towards the maximum aggregate bandwidth of all uplink carriers of the temporarily configured FR2-2.

[0307] As an embodiment, the overheating auxiliary information indicates the number of MIMO layers; and the first node tends to reduce the number of MIMO layers.

[0308] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the downlink.

[0309] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the uplink.

[0310] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the downlink.

[0311] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the uplink.

[0312] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the downlink.

[0313] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of MIMO layers of each serving cell temporarily configured to operate in FR1 that the first node prefers to use in the uplink.

[0314] As an embodiment, the overheat assistance information indicates the number of secondary carriers; and the first node tends to reduce the number of secondary carriers.

[0315] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of SCells (Secondary Cells) that the first node prefers to be temporarily configured in the downlink.

[0316] As a sub-embodiment of the above embodiment, the overheat assistance information indicates the maximum number of SCells that the first node prefers to be temporarily configured in the uplink.

[0317] Example 2

[0318] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG2 . FIG2 illustrates a network architecture 200 . The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture that will continue to evolve in the future by 3GPP; the network architecture 200 may be called a 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 may be called a 6GS (6G System); the network architecture 200 includes at least one of a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, an HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and an Internet service 230. The network architecture 200 can interconnect with other access networks, but for simplicity, these entities / interfaces are not shown. As shown, the network architecture 200 provides packet-switched services, but those skilled in the art will readily appreciate 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 towards 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 appropriate terminology. The core network 210 is a 5G Core Network (5G Core Network) / EPC (Evolved Packet Core), or alternatively, a 6G Core Network; node 203 provides an access point to the core network 210 for UE 201.Examples of UE 201 include cellular phones, smart phones, Session Initiation Protocol (SIP) phones, laptop computers, 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 Internet of Things devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes the MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, the S-GW (Service Gateway) / UPF (User Plane Function) 212, and the P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user Internet Protocol (IP) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-specific Internet protocol services, which may include the Internet, intranet, IMS (IP Multimedia Subsystem), and packet-switched streaming services.

[0319] As an embodiment, the UE 201 is a user equipment (UE).

[0320] As an embodiment, the UE 201 is a base station (BS).

[0321] As an embodiment, the UE 201 is a relay device.

[0322] As an embodiment, the UE 201 is a gateway device.

[0323] As an embodiment, the node 203 corresponds to the second node in this application.

[0324] As an embodiment, the node 203 is a base station device.

[0325] As an embodiment, the node 203 is a user equipment.

[0326] As an embodiment, the node 203 is a relay device.

[0327] As an embodiment, the node 203 is a gateway device.

[0328] As an embodiment, the node 204 corresponds to the third node in this application.

[0329] As an embodiment, the node 204 is a base station device.

[0330] As an embodiment, the node 204 is a user equipment.

[0331] As an embodiment, the node 204 is a relay device.

[0332] As an embodiment, the node 204 is a gateway device.

[0333] As an embodiment, the UE 201 maintains connections with the node 203 and the node 204 at the same time.

[0334] As an embodiment, the node 203 and the node 204 are connected via an ideal backhaul.

[0335] As an embodiment, the node 203 and the node 204 are connected via a non-ideal backhaul.

[0336] As an actual example, the node 203 and the node 204 provide wireless resources for the UE 201 at the same time.

[0337] As an example, the node 203 and the node 204 do not provide wireless resources for the UE 201 at the same time.

[0338] As an embodiment, the node 203 and the node 204 are the same node.

[0339] As an embodiment, the node 203 and the node 204 are two different nodes.

[0340] As an embodiment, the node 203 and the node 204 are of the same type.

[0341] As an embodiment, the node 203 and the node 204 are of different types.

[0342] Typically, the UE 201 is a user equipment, the node 203 is a base station device, and the node 204 is a base station device.

[0343] Typically, the UE 201 is a user equipment, the node 203 is a user equipment, and the node 204 is a user equipment.

[0344] Typically, the UE 201 is a base station device, the node 203 is a base station device, and the node 204 is a base station device.

[0345] As an embodiment, the user equipment supports low-latency and high-reliability transmission.

[0346] As an embodiment, the user equipment supports at least one of a non-terrestrial network (NTN) or a terrestrial network (Terrestrial Network).

[0347] As an embodiment, the user equipment supports dual connection (Dual Connection, DC).

[0348] As an embodiment, the user equipment supports carrier aggregation.

[0349] As an embodiment, the user equipment supports an intelligent model.

[0350] As an embodiment, the user equipment supports first type measurement.

[0351] As an embodiment, the user equipment is a mobile terminal.

[0352] As an embodiment, the user device is a mobile phone or a tablet.

[0353] As an embodiment, the user equipment is an aircraft.

[0354] As an embodiment, the user device is an Internet of Things device, and the Internet of Things device is an Internet of Things terminal or a vehicle-mounted terminal or a ship or an industrial Internet of Things terminal.

[0355] As an embodiment, the user equipment is a test device or a signaling tester.

[0356] As an embodiment, the user equipment is an IAB (Integrated Access and Backhaul)-MT.

[0357] As an embodiment, the base station device supports transmission in a non-terrestrial network.

[0358] As an embodiment, the base station device supports transmission of a terrestrial network.

[0359] As an embodiment, the base station device is a macro cellular (Marco Cellular) base station or a micro cell (Micro Cell) base station or a pico cell (Pico Cell) base station or a home base station (Femtocell); the base station device is a base transceiver station (Base Transceiver Station, BTS) or a node B (NodeB, NB) or a gNB or an eNB or an ng-eNB or an en-gNB.

[0360] As an embodiment, the base station device includes at least one of a CU (Centralized Unit), a DU (Distributed Unit), or a TRP (Transmitter Receiver Point).

[0361] As an embodiment, the base station device is an aerial node, and the aerial node is a flight platform device, a satellite device, or an NTN base station.

[0362] As an embodiment, the base station device is a test device or a signaling tester.

[0363] As an embodiment, the base station device is a gateway device.

[0364] As an embodiment, the base station device is an IAB node, and the IAB node is an IAB-node or an IAB-donor or an IAB-donor-CU or an IAB-donor-DU or an IAB-DU or an IAB-MT.

[0365] As an embodiment, the relay device is a relay, and the relay is an L3 relay, an L2 relay, or an L1 relay.

[0366] As an embodiment, the relay device is a router.

[0367] As an embodiment, the relay device is a RIS.

[0368] As an embodiment, the relay device is a switch or a gateway device.

[0369] As an embodiment, the relay device is a user equipment.

[0370] As an embodiment, the relay device is a network device.

[0371] Example 3

[0372] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for a user plane and a control plane according to the present application, as shown in FIG3 . FIG3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300. FIG3 illustrates the radio protocol architecture for the control plane 300 using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets and supports inter-zone mobility. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ (Hybrid Automatic Repeat Request). The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell. The 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 obtaining radio resources (i.e., radio bearers) and configuring lower layers using RRC signaling. 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 generally identical to the corresponding layers and sublayers in the control plane 300, including the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355. However, the 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, which is responsible for mapping QoS flows to data radio bearers (DRBs) to support service diversity.

[0373] As an embodiment, the wireless protocol architecture in FIG3 is applicable to the first node in this application.

[0374] As an embodiment, the wireless protocol architecture in FIG3 is applicable to the second node in this application.

[0375] As an embodiment, the first auxiliary information in this application is generated in the RRC306.

[0376] As an embodiment, the first auxiliary information in this application is generated by the MAC302 or MAC352.

[0377] As an embodiment, the first auxiliary information in this application is generated by the PHY301 or PHY351.

[0378] As an embodiment, the first signaling in this application is generated in the RRC306.

[0379] As an embodiment, the first signaling in the present application is generated by the MAC302 or MAC352.

[0380] As an embodiment, the first signaling in this application is generated in the PHY301 or PHY351.

[0381] As an embodiment, the first RRC message in this application is generated in the RRC306.

[0382] As an embodiment, the second RRC message in this application is generated in the RRC306.

[0383] Example 4

[0384] Embodiment 4 shows a schematic diagram of a first communication device and a second communication device according to the present application, as shown in Figure 4. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in an access network.

[0385] The first communication device 450 includes a controller / processor 459 , a memory 460 , a data source 467 , a transmit processor 468 , a receive processor 456 , a multi-antenna transmit processor 457 , a multi-antenna receive processor 458 , a transmitter / receiver 454 and an antenna 452 .

[0386] The second communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 , and an antenna 420 .

[0387] During transmission from the second communication device 410 to the first communication device 450, upper layer data packets from the core network are provided to the controller / processor 475 at the second communication device 410. The controller / processor 475 implements L2 layer functionality. During 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 retransmission of lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, as well as mapping of signal constellations based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), and M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming on the coded and modulated symbols to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to a subcarrier, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The 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 multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

[0388] During 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 via its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream, which is provided to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 implement various L1 signal processing functions. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operations on the baseband multi-carrier symbol stream from the receiver 454. The receive processor 456 converts the baseband multi-carrier symbol stream, after the receive analog precoding / beamforming operations, from the time domain to the frequency domain using a fast Fourier transform (FFT). In the frequency domain, the receive processor 456 demultiplexes the physical layer data signal and reference signal, where the reference signal is used for channel estimation. The data signal undergoes multi-antenna detection in the multi-antenna receive processor 458 to recover any spatial streams destined for the first communication device 450. The symbols on each spatial stream are demodulated and recovered in the receive processor 456, and soft decisions are generated. 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 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program code and data. The memory 460 may be referred to as a computer-readable medium. During transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 layer for L3 processing.

[0389] During transmission from the first communication device 450 to the second communication device 410, a data source 467 is used at the first communication device 450 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 functionality 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 retransmission of lost packets and signaling to the second communication device 410. The transmit processor 468 performs modulation mapping and channel coding, while the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming. The transmit processor 468 then modulates the resulting spatial stream into a multi-carrier / single-carrier symbol stream. After analog precoding and beamforming operations in the multi-antenna transmit processor 457, the stream is provided to different antennas 452 via the transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a RF symbol stream before providing it to the antenna 452.

[0390] During transmission from the first communications device 450 to the second communications device 410, the functionality at the second communications device 410 is similar to the reception functionality at the first communications device 450 described for transmission from the second communications device 410 to the first communications device 450. Each receiver 418 receives RF signals via its corresponding antenna 420, converts the received RF signals into baseband signals, and provides the baseband signals to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 collectively implement L1 layer functionality. A controller / processor 475 implements L2 layer functionality. The controller / processor 475 may be associated with a memory 476 storing program codes and data. The memory 476 may be referred to as a computer-readable medium. During transmission from the first communications device 450 to the second communications device 410, the controller / processor 475 provides demultiplexing between transport 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 controller / processor 475 may be provided to the core network.

[0391] As an 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 together with the at least one processor, and the first communication device 450 at least: receives a first RRC message, the first RRC message configures the first type of measurement; sends first auxiliary information as a response to detecting internal overheating, the first auxiliary information including overheating auxiliary information; wherein the overheating auxiliary information indicates at least the first type of measurement.

[0392] As an embodiment, the first communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, the actions including: receiving a first RRC message, wherein the first RRC message configures the first type of measurement; sending first auxiliary information as a response to detecting internal overheating, wherein the first auxiliary information includes overheating auxiliary information; wherein the overheating auxiliary information indicates at least the first type of measurement.

[0393] As an 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 being configured to be used with the at least one processor. The second communication device 410 at least: sends a first RRC message, the first RRC message configuring a first type of measurement; receives first assistance information, the first assistance information including overheat assistance information; wherein the first assistance information is sent in response to detecting internal overheating; the overheat assistance information indicates at least the first type of measurement.

[0394] As an embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, the actions including: sending a first RRC message, wherein the first RRC message configures a first type of measurement; receiving first auxiliary information, wherein the first auxiliary information includes overheating auxiliary information; wherein the first auxiliary information is sent as a response to detecting internal overheating; and the overheating auxiliary information indicates at least the first type of measurement.

[0395] As an embodiment, at least one of the antenna 452 , the receiver 454 , the receiving processor 456 , and the controller / processor 459 is used to receive first signaling.

[0396] As an embodiment, at least one of the antenna 420, the transmitter 418, the transmit processor 416, and the controller / processor 475 is used to send the first signaling.

[0397] As an embodiment, at least one of the antenna 452, the receiver 454, the receiving processor 456, and the controller / processor 459 is used to receive a first RRC message.

[0398] As an embodiment, at least one of the antenna 420, the transmitter 418, the transmit processor 416, and the controller / processor 475 is used to send a first RRC message.

[0399] As an embodiment, at least one of the antenna 452 , the transmitter 454 , the transmit processor 468 , and the controller / processor 459 is used to transmit the first auxiliary information.

[0400] As an embodiment, at least one of the antenna 420 , the receiver 418 , the reception processor 470 , and the controller / processor 475 is configured to receive first auxiliary information.

[0401] As an embodiment, at least one of the antenna 452, the transmitter 454, the transmit processor 468, and the controller / processor 459 is used to send a second RRC message.

[0402] As an embodiment, at least one of the antenna 420, the receiver 418, the reception processor 470, and the controller / processor 475 is used to receive a second RRC message.

[0403] As an embodiment, the first communication device 450 corresponds to the first node in this application.

[0404] As an embodiment, the second communication device 410 corresponds to the second node in this application.

[0405] As an embodiment, the first communication device 450 is a user equipment.

[0406] As an embodiment, the first communication device 450 is a base station device.

[0407] As an embodiment, the first communication device 450 is a relay device.

[0408] As an embodiment, the second communication device 410 is a user equipment.

[0409] As an embodiment, the second communication device 410 is a base station device.

[0410] As an embodiment, the second communication device 410 is a relay device.

[0411] Example 5

[0412] Example 5 illustrates a wireless signal transmission flow chart according to an embodiment of the present application, as shown in FIG5. It should be noted that the order in this example does not limit the signal transmission order and implementation order in the present application.

[0413] For the first node U01, in step S5101, a second RRC message is sent; wherein the second RRC message indicates that the first node supports at least the first type of measurement; in step S5102, a first RRC message is received; wherein the first RRC message configures the first type of measurement; in step S5103, as a response to detecting internal overheating, first auxiliary information is sent, the first auxiliary information includes overheating auxiliary information; wherein the overheating auxiliary information indicates at least the first type of measurement; in step S5104, after the first auxiliary information is sent, first signaling is received; wherein the first signaling indicates an update of at least the first type of measurement.

[0414] For the second node N02, in step S5201, the second RRC message is received; in step S5202, the first RRC message is sent; in step S5203, the first auxiliary information is received; in step S5204, the first signaling is sent.

[0415] As an embodiment, the first node U01 and the second node N02 are connected wirelessly.

[0416] As an embodiment, the first node U01 and the second node N02 are connected via a wired connection.

[0417] As an embodiment, the first node U01 and the second node N02 are connected via a Uu port.

[0418] As an embodiment, the first node U01 and the second node N02 are connected via an IAB port.

[0419] As an embodiment, the first node U01 and the second node N02 are connected via a PC5 interface.

[0420] As an embodiment, the dotted box F5.1 is optional.

[0421] As an embodiment, the dotted box F5.1 exists.

[0422] As an embodiment, the dotted box F5.1 does not exist.

[0423] As an embodiment, the dotted box F5.2 is optional.

[0424] As an embodiment, the dotted box F5.2 exists.

[0425] As an embodiment, the dotted box F5.2 does not exist.

[0426] As an embodiment, the first RRC message depends on the second RRC message.

[0427] As an embodiment, the first RRC message configures at least one measurement, and the at least one measurement does not exceed the measurement capability indicated by the second RRC message.

[0428] As an embodiment, the second node sends the first RRC message in response to the receipt of the second RRC message.

[0429] As an embodiment, the second node sets the first RRC message according to the indication of the second RRC message.

[0430] As an embodiment, the second node sets the first type of measurement in the first RRC message according to the indication of the second RRC message.

[0431] As an embodiment, the second node sets the first type of measurement in the first RRC message according to the indication of the second RRC message.

[0432] As an embodiment, the second RRC message includes auxiliary information.

[0433] As an embodiment, the second RRC message includes UE assistance information.

[0434] As an embodiment, the second RRC message includes UE capability information.

[0435] As an embodiment, the second RRC message is the last RRC message sent before the internal overheating is detected, indicating that the first node supports at least the first type of measurement.

[0436] As an embodiment, the second RRC message indicates that the first node supports only the at least the first type of measurement.

[0437] As an embodiment, the second RRC message indicates that the first node supports multiple measurements; the multiple measurements include at least the first type of measurement.

[0438] As an embodiment, the second RRC message indicates the type of measurement supported by the first node.

[0439] As an embodiment, the second RRC message indicates the number of measurements supported by the first node.

[0440] As an embodiment, the number of measurements supported by the first node refers to the maximum number of measurements supported by the first node.

[0441] As an embodiment, the number of measurements supported by the first node refers to the number of each type of measurements supported by the first node.

[0442] As an embodiment, the number of measurements supported by the first node refers to the maximum number of measurements of each type supported by the first node.

[0443] As an embodiment, the second RRC message is a UECapabilityInformation message.

[0444] As an embodiment, the second RRC message is at least one IE in a UECapabilityInformation message.

[0445] As an embodiment, the second RRC message is at least one field in a UECapabilityInformation message.

[0446] As an embodiment, the second RRC message is a UE-NR-Capability IE.

[0447] As an embodiment, the second RRC message is at least one IE in a UE-NR-Capability IE.

[0448] As an embodiment, the second RRC message is at least one field in a UE-NR-Capability IE.

[0449] As an embodiment, the second RRC message is a UEAssistanceInformation message.

[0450] As an embodiment, the second node sends the first signaling depending on the first auxiliary information.

[0451] As an embodiment, the second node determines to send the first signaling based on the first auxiliary information.

[0452] As an embodiment, the second node sends the first signaling in response to receiving the first auxiliary information.

[0453] As an embodiment, the first auxiliary information triggers the first signaling.

[0454] As an embodiment, in response to receiving the first signaling, the at least the first type of measurement is updated.

[0455] As an embodiment, the first signaling is executed in response to the first signaling being received.

[0456] As an embodiment, in response to the first signaling being received, a lower layer is notified; the lower layer includes a physical layer.

[0457] As an embodiment, the first signaling is a DCCH message.

[0458] As an embodiment, the first signaling is an RRC message.

[0459] As an embodiment, the first signaling is an RRCReconfiguration message.

[0460] As an embodiment, the first signaling is an RRCRelease message.

[0461] As an embodiment, the first signaling is a MAC (Medium Access Control) CE (Control Element).

[0462] As an embodiment, the first signaling includes a MAC subheader, and the MAC subheader indicates updating the first type of measurement.

[0463] As an embodiment, the first signaling includes a MAC CE, and the one MAC CE indicates updating the first type of measurement.

[0464] As an embodiment, the first signaling is a DCI (Downlink Control Information).

[0465] As an embodiment, the updating is a switch.

[0466] As an embodiment, the update is a fallback.

[0467] As an embodiment, the update is reconfiguration.

[0468] As an embodiment, the update is a cancel.

[0469] As an embodiment, the updating is deactivation.

[0470] As an embodiment, the updating is suspended.

[0471] As an embodiment, the updating is stopped.

[0472] As an embodiment, the updating is a reduction.

[0473] As an embodiment, the update is deletion (delete, clear, or remove).

[0474] As an embodiment, the updating is suspended.

[0475] As an embodiment, in response to detecting internal overheating, the first auxiliary information is sent; after the first auxiliary information is sent, first signaling is received, and the first signaling indicates updating at least the first type measurement; in response to the first signaling being received, the first type measurement is updated.

[0476] As an embodiment, in response to detecting internal overheating, at least the first type of measurement is updated; in response to updating at least the first type of measurement, the first auxiliary information is sent.

[0477] Example 6

[0478] Embodiment 6 illustrates a schematic diagram in which overheat assistance information indicates that at least the first type of measurement depends on the first node's preference to temporarily reduce UE capabilities for at least the first type of measurement according to an embodiment of the present application.

[0479] In embodiment 6, the overheat assistance information indicates that at least the first type of measurement depends on the first node being inclined to temporarily reduce UE capabilities for at least the first type of measurement.

[0480] As an embodiment, the first node is inclined to temporarily reduce the UE capability for at least the first type of measurement.

[0481] As an embodiment, the first node is biased to temporarily reduce UE capabilities for the at least first type of measurement in response to detecting internal overheating and being used to determine that the overheat assistance information is indicative of the at least first type of measurement.

[0482] As an embodiment, the overheat assistance information indicates the at least the first type of measurement in response to detecting internal overheating and the first node preferring to temporarily reduce UE capabilities for the at least the first type of measurement.

[0483] As an embodiment, said at least first type of measurement is being performed when internal overheating is detected.

[0484] Example 7

[0485] Example 7 illustrates a schematic diagram of a first type of measurement for a first intelligent model according to an embodiment of the present application, as shown in FIG7 .

[0486] In Example 7, the first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

[0487] As an embodiment, the intelligence refers to AI / ML.

[0488] As an embodiment, the intelligence refers to AI.

[0489] As an embodiment, the intelligence refers to ML.

[0490] As an embodiment, the model refers to model.

[0491] As an embodiment, the model refers to functionality.

[0492] As an embodiment, the model refers to a module.

[0493] As an embodiment, the model is a program.

[0494] As an embodiment, the model refers to a system.

[0495] Typically, the intelligent model refers to an AI / ML model.

[0496] Typically, the intelligent model refers to AI / ML functions.

[0497] Typically, the intelligent model refers to an AI / ML system.

[0498] Typically, the intelligent model refers to an artificial intelligence processing system.

[0499] As an embodiment, the intelligent model in the present application has at least one of a training function or a reasoning function.

[0500] As an embodiment, a module of the first intelligent model has training function and reasoning function.

[0501] As an embodiment, a module of the first intelligent model has a training function.

[0502] As an embodiment, the training function refers to a model training function.

[0503] As an embodiment, the training function includes at least one of AI / ML model training, verification or testing.

[0504] As an embodiment, the training function is responsible for data preparation based on the training data, where the data preparation includes at least one of data preprocessing, cleaning, formatting, or sending.

[0505] As an embodiment, a module of the first intelligent model has reasoning function.

[0506] As an embodiment, the inference function provides output of applying AI / ML models or AI / ML functionalities.

[0507] As an embodiment, the inference function provides an inference output (Inference Output).

[0508] As an embodiment, the reasoning function refers to AI / ML reasoning function.

[0509] As an embodiment, the inference function is responsible for data preparation based on training data, where the data preparation includes at least one of data preprocessing, cleaning, formatting, or sending.

[0510] As an embodiment, the first intelligent model has a management function.

[0511] As an embodiment, the management function oversees the intelligence model.

[0512] As an embodiment, the management function monitors the intelligent model.

[0513] As an embodiment, the management function has the ability to select / (de)activate / switch / rollback the intelligent model.

[0514] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is configured for at least one intelligent model, and the first intelligent model is one of the at least one intelligent model.

[0515] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is dedicated to the first intelligent model.

[0516] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is configured for the first intelligent model.

[0517] As an embodiment, the first type of measurement is for the first intelligent model means that the first type of measurement is used for the first intelligent model.

[0518] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is the input of the first intelligent model.

[0519] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is for the output of the first intelligent model.

[0520] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is for the management function of the first intelligent model.

[0521] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is for the training function of the first intelligent model.

[0522] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is for the reasoning function of the first intelligent model.

[0523] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for beam management (BM) based on the first intelligent model.

[0524] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of measurement is for positioning accuracy based on the first intelligent model.

[0525] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for CSI feedback based on the first intelligent model.

[0526] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for handover (HO) based on the first intelligent model.

[0527] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for an LTM based on the first intelligent model.

[0528] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for a CHO based on the first intelligent model.

[0529] As an embodiment, the first type of measurement is for a first intelligent model, which means that the first type of measurement is for CPC based on the first intelligent model.

[0530] As an embodiment, the first type of measurement is for the first intelligent model, which means that the measurement result based on the first type of measurement is for the first intelligent model.

[0531] As an embodiment, the first type of measurement is for the first intelligent model, which means that the first type of report is for the first intelligent model.

[0532] As an embodiment, the first type of measurement is configured with an index of the first intelligent model.

[0533] As an embodiment, the first type of measurement is associated with an index of the first intelligent model.

[0534] As an embodiment, the overheating auxiliary information indicating at least the first type of measurement means that the overheating auxiliary information indicates at least the first intelligent model.

[0535] As an embodiment, the overheat assistance information indicates at least the former of the at least the first intelligent model, the aggregated bandwidth, the number of MIMO layers and the number of secondary carriers.

[0536] As an embodiment, the overheating auxiliary information explicitly indicates at least the first intelligent model.

[0537] As an embodiment, the overheating auxiliary information implicitly indicates at least the first intelligent model.

[0538] As an embodiment, the overheating auxiliary information indicates only the first intelligent model.

[0539] As an embodiment, the overheating auxiliary information indicates a plurality of intelligent models, and the first intelligent model is one of the plurality of intelligent models.

[0540] As an embodiment, the overheat assistance information indicates a reduced capacity configuration.

[0541] As an embodiment, the overheating assistance information indicates a reduction in capability configuration for an intelligent model.

[0542] As an embodiment, the overheating assistance information indicates a reduction in capability configuration for the first intelligent model.

[0543] As an embodiment, the overheating assistance information indicates that the reduced capability configuration includes capability configuration for the first intelligent model.

[0544] As an embodiment, the overheating auxiliary information indicates that the reduced capability configuration is for the capability configuration of the first intelligent model.

[0545] As an embodiment, the overheat assistance information indicates a capability configuration that the first node is biased towards.

[0546] As an embodiment, the overheating auxiliary information indicates a capability configuration of the intelligent model that the first node is biased towards.

[0547] As an embodiment, the overheating auxiliary information indicates the capability configuration of the first intelligent model that the first node is biased towards.

[0548] As an embodiment, the capability configuration of the first node bias indicated by the overheating auxiliary information includes capability configuration for an intelligent model.

[0549] As an embodiment, the capability configuration of the first node bias indicated by the overheating auxiliary information is for capability configuration of an intelligent model.

[0550] As an embodiment, the capability configuration of the first node bias indicated by the overheating auxiliary information includes capability configuration for the first intelligent model.

[0551] As an embodiment, the capability configuration of the first node bias indicated by the overheating auxiliary information is for the capability configuration of the first intelligent model.

[0552] As an embodiment, the overheating auxiliary information requests an update of at least the first intelligent model.

[0553] As an embodiment, the overheat assistance information indicates a reason for requesting to update at least the first intelligent model.

[0554] As an embodiment, the overheating assistance information indicates that a reason for requesting to update at least the first intelligent model includes detection of internal overheating.

[0555] As an embodiment, the overheating assistance information indicates an index of the intelligent model requested to be deactivated.

[0556] As an embodiment, the overheating assistance information indicates the type of smart model requested to be deactivated.

[0557] As an embodiment, the overheating auxiliary information indicates the number of intelligent models that the first node favors.

[0558] As an embodiment, the overheating auxiliary information indicates the index of the intelligent model that the first node is biased towards.

[0559] As an embodiment, the overheating auxiliary information indicates that the first node is biased towards the index of a deactivated intelligent model.

[0560] As an embodiment, the overheating auxiliary information indicates the type of intelligent model that the first node is biased towards.

[0561] As an embodiment, the overheating auxiliary information indicates that the first node tends to be a type of deactivated intelligent model.

[0562] As an embodiment, the overheating auxiliary information indicates that the first node has updated at least the first intelligent model.

[0563] As an embodiment, the overheating auxiliary information indicates a result of updating at least the first intelligent model.

[0564] As an embodiment, the overheating auxiliary information indicates a reason for updating at least the first intelligent model.

[0565] As an embodiment, the overheating auxiliary information indicates at least an index of the first intelligent model.

[0566] As an embodiment, the setting of the overheating auxiliary information depends on the number of intelligent models.

[0567] As an embodiment, the overheating auxiliary information indicates the index of the intelligent model that has been deactivated by the first node.

[0568] As an embodiment, the overheating auxiliary information indicates the type of the intelligent model that has been deactivated at the first node.

[0569] As an embodiment, the overheating auxiliary information indicating that at least the first type of measurement depends on the first node and tends to temporarily reduce the UE capability for at least the first type of measurement means: the overheating auxiliary information indicating that at least the first intelligent model depends on the first node and tends to temporarily reduce the UE capability for at least the first intelligent model.

[0570] As an embodiment, the overheat assistance information indicating that at least the first type of measurement depends on the first node and tends to temporarily reduce the UE capability for at least the first type of measurement can be replaced by: the overheat assistance information indicating that at least the first intelligent model depends on the first node and tends to temporarily reduce the UE capability for at least the first intelligent model.

[0571] As an embodiment, the overheat assistance information indicates the at least first intelligence model in response to detecting internal overheating and the first node preferring to temporarily reduce UE capabilities for the at least first intelligence model.

[0572] As an embodiment, the at least first intelligent model is running when internal overheating is detected.

[0573] As an embodiment, the first RRC message configuring the first type of measurement means that the first RRC message configures the first intelligent model.

[0574] As an embodiment, the first RRC message configuring the first type of measurement may be replaced by: the first RRC message configuring the first intelligent model.

[0575] As an embodiment, the first RRC message configures the first type of measurement; the name of the domain includes at least one of AI or ML or model or functionality.

[0576] As an embodiment, the name of a field in the first RRC message indicates the first type of measurement; the name of the field includes at least one of MeasObject or AI or ML or model or functionality.

[0577] As an embodiment, the name of a field in the first RRC message indicates the first type of report; the name of the field includes at least one of ReportConfigNR or AI or ML or model or functionality.

[0578] As an embodiment, the first RRC message configures the first type of measurement and the first intelligent model.

[0579] As an embodiment, the domain for configuring the first type of measurement in the first RRC message is associated with the domain for configuring the first intelligent model.

[0580] As an embodiment, the measId of the first type of measurement in the first RRC message is associated with the index of the first intelligent model.

[0581] As an embodiment, the first RRC message includes parameters of the first intelligent model.

[0582] As an embodiment, the parameters of the first intelligent model include an index of the first intelligent model.

[0583] As an embodiment, the index of the intelligent model is Model identification.

[0584] As an embodiment, the index of the intelligent model is model ID.

[0585] As an embodiment, the index of the intelligent model is the AI / ML model ID.

[0586] As an embodiment, the parameters of the first intelligent model include the type of the first intelligent model.

[0587] As an embodiment, the parameters of the first intelligent model include performance indicators of the first intelligent model.

[0588] As an embodiment, the type of the intelligent model depends on the location of the management module of the intelligent model.

[0589] As an embodiment, the type of the intelligent model depends on the position of the reasoning module of the intelligent model.

[0590] As an embodiment, the type of the intelligent model depends on the position of the training module of the intelligent model.

[0591] As an embodiment, the type of the intelligent model depends on the collaboration level of the intelligent model.

[0592] As an embodiment, the type of the intelligent model depends on the purpose of the intelligent model.

[0593] As an embodiment, the type of the intelligent model depends on the purpose of the intelligent model.

[0594] As an embodiment, the type of the intelligent model depends on the characteristics of the intelligent model.

[0595] As an embodiment, the type of the intelligent model depends on the function of the intelligent model.

[0596] As an embodiment, the candidates for the type of the intelligent model include type 1, type 2, ...

[0597] As an embodiment, the candidates for the type of the intelligent model include type A, type B, ...

[0598] As an embodiment, the candidates for the type of the intelligent model include type A1, type A2, ...

[0599] As an embodiment, the candidates for the type of the intelligent model include type B1, type B2, ...

[0600] As an embodiment, candidates for the type of the intelligent model include a management module located on the UE side and a management module located on the network side.

[0601] As an embodiment, candidates for the type of the intelligent model include a reasoning module located on the UE side and a reasoning module located on the network side.

[0602] As an embodiment, candidates for the type of the intelligent model include a training module located on the UE side and a training module located on the network side.

[0603] As an embodiment, candidates for the type of the intelligent model include UE-side (AI / ML) model and Two-sided (AI / ML) model.

[0604] As an embodiment, the candidates for the type of the intelligent model include collaboration level.

[0605] As an embodiment, the candidates for the type of the intelligent model include at least one of CSI feedback, beam management, positioning, mobility, or handover.

[0606] As an embodiment, the candidates for the type of the intelligent model include collaboration level x and collaboration level y.

[0607] As an embodiment, candidates for the type of the intelligent model include non-collaborative and collaborative.

[0608] As an embodiment, the candidates for the type of the intelligent model include no collaboration, collaboration with no intelligent model transmission based on signaling, and collaboration with intelligent model transmission based on signaling.

[0609] As an embodiment, in response to detecting internal overheating, the first auxiliary information is sent; after the first auxiliary information is sent, a first signaling is received, the first signaling indicating an update of at least the first intelligent model; in response to the first signaling being received, the first intelligent model is updated.

[0610] As an embodiment, in response to detecting internal overheating, at least the first smart model is updated; and in response to updating at least the first smart model, the first auxiliary information is sent.

[0611] As an embodiment, the management function of the first intelligent model is located in the second node.

[0612] As a sub-embodiment of the above embodiment, the first auxiliary information belongs to the input of the management function of the first intelligent model.

[0613] As a sub-embodiment of the above embodiment, the first auxiliary information includes input of the management function of the first intelligent model.

[0614] As a sub-embodiment of the above embodiment, the first auxiliary information is an input of the management function of the first intelligent model.

[0615] As a sub-embodiment of the above embodiment, the input of the management function of the first intelligent model includes performance information.

[0616] As a sub-embodiment of the above embodiment, the input of the management function of the first intelligent model includes auxiliary information.

[0617] As a sub-embodiment of the above embodiment, the output of the management function of the first intelligent model is a management instruction.

[0618] As a sub-embodiment of the above embodiment, the one management instruction includes input of the reasoning function.

[0619] As a sub-embodiment of the above embodiment, the one management instruction is an input of the reasoning function.

[0620] As a sub-embodiment of the above embodiment, the one management instruction is used for selecting an intelligent model.

[0621] As a sub-embodiment of the above embodiment, the management instruction is used to activate / deactivate the intelligent model.

[0622] As a sub-embodiment of the above embodiment, the management instruction is used to switch the intelligent model.

[0623] As a sub-embodiment of the above embodiment, the management instruction is used to fallback the intelligent model.

[0624] As an embodiment, the falling back to the intelligent model refers to falling back from the intelligent model to a non-intelligent operation.

[0625] As an embodiment, the non-intelligent operation does not rely on a reasoning process.

[0626] As an embodiment, the non-intelligent operation does not rely on an intelligent model.

[0627] As an embodiment, the management function of the first intelligent model is located in the first node.

[0628] As a sub-embodiment of the above embodiment, the first auxiliary information belongs to the output of the management function of the first intelligent model.

[0629] As a sub-embodiment of the above embodiment, the first auxiliary information includes the output of the management function of the first intelligent model.

[0630] As a sub-embodiment of the above embodiment, the first auxiliary information is the output of the management function of the first intelligent model.

[0631] As a sub-embodiment of the above embodiment, the overheating auxiliary information belongs to the output of the management function of the first intelligent model.

[0632] As a sub-embodiment of the above embodiment, the overheating auxiliary information includes the output of the management function of the first intelligent model.

[0633] As a sub-embodiment of the above embodiment, the overheating auxiliary information is an output of the management function of the first intelligent model.

[0634] As a sub-embodiment of the above embodiment, the input of the management function of the first intelligent model includes detection of internal overheating.

[0635] As a sub-embodiment of the above embodiment, in response to detecting internal overheating, an indication is sent to the management function of the first intelligent model.

[0636] As a sub-embodiment of the above embodiment, in response to detecting internal overheating, the first auxiliary information is sent; after the first auxiliary information is sent, a first signaling is received, and the first signaling indicates an update of at least the first intelligent model; in response to the first signaling being received, the first intelligent model is updated.

[0637] As a subsidiary embodiment of the above sub-embodiment, the output of the management function of the first intelligent model is a management request (Management Request).

[0638] As a subsidiary embodiment of the above sub-embodiment, the management function of the first intelligent model receives a response to the one indication, triggering the first auxiliary information.

[0639] As a subsidiary embodiment of the above sub-embodiment, the overheating auxiliary information is triggered in response to the management function of the first intelligent model receiving the one indication.

[0640] As a subsidiary embodiment of the above sub-embodiment, the management function of the first intelligent model receives a response to the one indication, thereby triggering the one management request.

[0641] As a subsidiary embodiment of the above sub-embodiment, the management request includes performance feedback.

[0642] As a subsidiary embodiment of the above sub-embodiment, the management request includes the given performance indicator.

[0643] As a subsidiary embodiment of the above sub-embodiment, the overheating auxiliary information requests updating at least the first intelligent model.

[0644] As a subsidiary embodiment of the above sub-embodiment, the overheating auxiliary information includes a reason for requesting to update at least the first intelligent model.

[0645] As a subsidiary embodiment of the above sub-embodiment, the overheating auxiliary information includes that the reason for requesting to update at least the first intelligent model includes detection of internal overheating.

[0646] As a sub-embodiment of the above embodiment, in response to detecting internal overheating, the management function of the first smart model updates at least the first smart model; in response to updating at least the first smart model, the first auxiliary information is sent.

[0647] As a subsidiary embodiment of the above sub-embodiment, the output of the management function of the first intelligent model is a management decision report.

[0648] As a subsidiary embodiment of the above sub-embodiment, the management decision report includes the result of updating at least the first intelligent model.

[0649] As a subsidiary embodiment of the above sub-embodiment, in response to receiving the one indication as a management function of the first intelligent model, at least the first intelligent model is updated.

[0650] As a subsidiary embodiment of the above sub-embodiment, the first auxiliary information indicates the reason for updating at least the first intelligent model.

[0651] As a subsidiary embodiment of the above sub-embodiment, the reason why the first auxiliary information indicates updating at least the first intelligent model includes detection of internal overheating.

[0652] Example 8

[0653] Embodiment 8 illustrates a schematic diagram of at least one of the number or type of intelligent models that the overheating auxiliary information indicates the first node is biased toward according to an embodiment of the present application, as shown in FIG8 .

[0654] In the eighth embodiment, the overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node favors.

[0655] As an embodiment, the overheating auxiliary information indicates the type of intelligent model that the first node is biased towards.

[0656] As an embodiment, the overheating auxiliary information indicates the number of intelligent models that the first node favors.

[0657] As an embodiment, the overheating auxiliary information indicates the number and type of intelligent models that the first node favors.

[0658] As an embodiment, the number of intelligent models that the first node favors refers to the maximum value of the number of intelligent models that the first node favors.

[0659] As an embodiment, the number of intelligent models that the first node favors refers to the number of intelligent models of each type that the first node favors.

[0660] As an embodiment, the number of intelligent models that the first node favors refers to the maximum number of intelligent models of each type that the first node favors.

[0661] As an embodiment, the number of candidates for the intelligent model that the first node favors includes 0.

[0662] As an embodiment, any candidate number of the intelligent models favored by the first node is greater than 0.

[0663] As an embodiment, the candidates for the maximum value of the number of intelligent models that the first node favors include 0.

[0664] As an embodiment, any candidate for the maximum value of the number of intelligent models favored by the first node is greater than 0.

[0665] As an embodiment, the maximum value of the number of intelligent models favored by the first node does not exceed the number of intelligent models configured by the first RRC message.

[0666] As an embodiment, the maximum value of the number of intelligent models favored by the first node does not exceed the number of intelligent models indicated by the second RRC message; the number of intelligent models indicated by the second RRC message.

[0667] As an embodiment, the overheating assistance information indicates at least one of the number or type of intelligent models preferred by the first node, and at least the former of the aggregated bandwidth, the number of MIMO layers, and the number of auxiliary carriers.

[0668] Example 9

[0669] Embodiment 9 illustrates a schematic diagram of the first signaling according to an embodiment of the present application, as shown in FIG9 .

[0670] In Example 9, the first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function; the first signaling indication to update at least the first type of measurement means: the first signaling indication to update at least the first intelligent model.

[0671] As an embodiment, the first signaling is an output of a management function of the first intelligent model.

[0672] As an embodiment, the first signaling includes the output of the management function of the first intelligent model.

[0673] As an embodiment, the first signaling is an output of the management function of the first intelligent model.

[0674] As an embodiment, the first signaling is independent of the management function of the first intelligent model.

[0675] As an embodiment, in response to detecting internal overheating, the first auxiliary information is sent; after the first auxiliary information is sent, a first signaling is received, the first signaling indicating an update of at least the first intelligent model; in response to the first signaling being received, the first intelligent model is updated.

[0676] As an embodiment, the first signaling updates the first type of measurement by updating the at least one smart model.

[0677] As an embodiment, the first signaling instruction to update at least the first type of measurement may be replaced by: the first signaling instruction to update at least the first intelligent model.

[0678] As an embodiment, the first signaling instructs the first node to update at least the first intelligent model.

[0679] As an embodiment, the first signaling command instructs the first node to update at least the first intelligent model.

[0680] As an embodiment, the first signaling notifies the first node to update at least the first intelligent model.

[0681] As an embodiment, updating at least the first intelligent model refers to deactivating at least the first intelligent model.

[0682] As an embodiment, updating at least the first intelligent model refers to stopping at least the first intelligent model.

[0683] As an embodiment, updating at least the first intelligent model refers to pausing at least the first intelligent model.

[0684] As an embodiment, updating at least the first intelligent model refers to releasing at least the first intelligent model.

[0685] As an embodiment, updating at least the first intelligent model refers to removing at least the first intelligent model.

[0686] As an embodiment, updating at least the first intelligent model refers to modifying at least the first intelligent model.

[0687] As an embodiment, updating at least the first intelligent model refers to switching at least the first intelligent model.

[0688] As an embodiment, updating at least the first intelligent model refers to rolling back at least the first intelligent model.

[0689] As an embodiment, updating at least the first intelligent model refers to updating the state of the at least one intelligent model.

[0690] As an embodiment, updating the at least one intelligent model refers to updating the quantity of the at least one intelligent model.

[0691] As an embodiment, updating the at least one intelligent model refers to updating the input of the at least one intelligent model.

[0692] As an embodiment, updating the at least one intelligent model refers to updating the output of the at least one intelligent model.

[0693] As an embodiment, updating the at least one intelligent model refers to updating parameters of the at least one intelligent model.

[0694] As an embodiment, the first signaling is a management instruction.

[0695] As an embodiment, the first signaling includes at least one field, and the at least one field is an index of a deactivated intelligent model.

[0696] As an embodiment, the first signaling includes a bit map, at least one bit in the bit map is set to 0; each bit in the bit map corresponds to an intelligent model, and a bit in the bit map is set to 0 to indicate deactivation of the intelligent model corresponding to the bit; and a bit in the bit map is set to 1 to indicate activation of the intelligent model corresponding to the bit.

[0697] As an embodiment, the first signaling includes a bit map, at least one bit in the bit map is set to 1; each bit in the bit map corresponds to an intelligent model, and a bit in the bit map is set to 1 to indicate deactivation of the intelligent model corresponding to the bit; a bit in the bit map is set to 0 to indicate deactivation of the intelligent model corresponding to the bit.

[0698] As an embodiment, the first signaling includes at least one field, and the at least one field indicates the type of the deactivated intelligent model.

[0699] Example 10

[0700] Embodiment 10 illustrates a schematic diagram of a second RRC message according to an embodiment of the present application, as shown in FIG10 .

[0701] In embodiment 10, the first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function; the second RRC message indicates that the first node supports at least the first type of measurement, which means that the second RRC message indicates that the first node supports the intelligent model.

[0702] As an embodiment, the second RRC message explicitly indicates that the first node supports the intelligent model.

[0703] As an embodiment, the second RRC message implicitly indicates that the first node supports the intelligent model.

[0704] As an embodiment, the second RRC message indicates the number of intelligent models supported by the first node.

[0705] As an embodiment, the number of intelligent models supported by the first node refers to: the maximum number of intelligent models supported by the first node.

[0706] As an embodiment, the number of intelligent models supported by the first node refers to: the number of intelligent models of each type supported by the first node.

[0707] As an embodiment, the number of intelligent models supported by the first node refers to: the maximum number of intelligent models of each type supported by the first node.

[0708] As an embodiment, the second RRC message indicates the type of intelligent model supported by the first node.

[0709] As an embodiment, the second RRC message indicates the number and types of intelligent models supported by the first node.

[0710] As an embodiment, a field in the second RRC message is set to the number of intelligent models supported by the first node.

[0711] As an embodiment, at least one field in the second RRC message is set to an index of an intelligent model supported by the first node.

[0712] As a sub-embodiment of the above embodiment, the number of intelligent models supported by the first node is the number of the at least one field in the second RRC message.

[0713] As an embodiment, the value of at least one field in the second RRC message indicates the type of intelligent model supported by the first node.

[0714] As an embodiment, the name of at least one field in the second RRC message indicates the type of intelligent model supported by the first node.

[0715] As an embodiment, at least one field in the second RRC message is set to the type of the intelligent model supported by the first node.

[0716] As an embodiment, at least one field in the second RRC message is set to supported; the at least one field indicates the type of intelligent model supported by the first node.

[0717] As an embodiment, the second RRC message indicates whether the first node supports a fallback smart model.

[0718] As an embodiment, the candidates for the maximum value of the number of intelligent models supported by the first node include 0.

[0719] As an embodiment, the candidate for the maximum value of the number of intelligent models supported by the first node is greater than 0.

[0720] As an embodiment, the candidates for the maximum value of the number of intelligent models supported by the first node include 1.

[0721] As an embodiment, the second RRC message indicating that the first node supports at least the first type of measurement means that: the second RRC message indicates that the first node supports at least one intelligent model; and the first type of measurement depends on the at least one intelligent model.

[0722] As an embodiment, the second RRC message indicating that the first node supports at least the first type of measurement can be replaced by: the second RRC message indicating that the first node supports at least one intelligent model.

[0723] Example 11

[0724] Embodiment 11 illustrates a schematic diagram of an intelligent model according to an embodiment of the present application, as shown in FIG11. FIG11 includes a first module, a second module, a third module, a fourth module and a fifth module.

[0725] In Example 11, in the intelligent model shown in Figure 11, the first module sends a first data set to the second module, the first module sends a second data set to the third module, the first module sends a third data set to the fifth module, the fifth module sends a first type of parameter group to the second module, the fifth module sends a second type of parameter group to the third module, the fifth module sends a third type of parameter group to the fourth module, the second module sends a fourth type of parameter group to the fourth module, and the fourth module sends a fifth type of parameter group to the third module.

[0726] As an embodiment, the first module, the second module, the third module, the fourth module and the fifth module in an intelligent model all belong to the first node.

[0727] The above method avoids air interface signaling interaction and shortens transmission delay.

[0728] As an embodiment, any module among the first module, the second module, the third module, the fourth module and the fifth module in an intelligent model does not belong to the first node.

[0729] The above method reduces the hardware complexity of the first node.

[0730] As an embodiment, at least one module among the first module, the second module, the third module, the fourth module and the fifth module in an intelligent model belongs to the first node; and at least one module among the first module, the second module, the third module, the fourth module and the fifth module does not belong to the first node.

[0731] The above method balances the hardware complexity and transmission delay of the first node.

[0732] As an embodiment, the first module is used for data collection.

[0733] As an embodiment, the first module is responsible for data collection.

[0734] As an embodiment, the first module has a data collection function.

[0735] As an embodiment, the second module has a training function.

[0736] As an embodiment, the second module is used for model training.

[0737] As an embodiment, the second module is responsible for model training.

[0738] As an embodiment, the second module has a model training function.

[0739] As an embodiment, the second module performs model training.

[0740] As an embodiment, the second module performs validation.

[0741] As an embodiment, the second module performs testing.

[0742] As an embodiment, the second module generates model performance metrics.

[0743] As an embodiment, the second module is responsible for data preparation.

[0744] As an embodiment, the data preparation includes at least one of data pre-processing, cleaning, formatting, or transformation.

[0745] As an embodiment, the third module has a reasoning function.

[0746] As an embodiment, the third module is used for inference.

[0747] As an embodiment, the third module is responsible for reasoning.

[0748] As an embodiment, the fourth module is used for model storage.

[0749] As an embodiment, the fourth module has a model storage function.

[0750] As an embodiment, the fourth module is responsible for storing the trained model.

[0751] As an embodiment, the fourth module is responsible for storing trained models that can be used to perform reasoning processing.

[0752] As an embodiment, the fifth module is used for management.

[0753] As an embodiment, the fifth module is responsible for management.

[0754] As an embodiment, the fifth module has a management function.

[0755] As an embodiment, the fifth module manages the intelligent model.

[0756] As an embodiment, the first data set is training data.

[0757] As an embodiment, the first data set is the input of the second module.

[0758] As an embodiment, the second data set is inference data.

[0759] As an embodiment, the second data set is the input of the third module.

[0760] As an embodiment, the third data set is monitoring data.

[0761] As an embodiment, the third data set is the input of the fifth module.

[0762] As an embodiment, the first parameter group includes monitoring output.

[0763] As an embodiment, the second type of parameter group includes management instructions.

[0764] As an embodiment, the second type of parameter group is used for fine-tuning of the inference function.

[0765] As an embodiment, the second type of parameter group includes an identifier of the model.

[0766] As an embodiment, the second type of parameter group is used to select a model.

[0767] As an embodiment, the second type of parameter group is used for switching models.

[0768] As an embodiment, the second type of parameter group is used to activate / deactivate the model.

[0769] As an embodiment, the second type of parameter group is used to fallback the intelligent model.

[0770] As an embodiment, the third type of parameter group includes a model transfer request (Model Transfer Request).

[0771] As an embodiment, the third parameter group includes a model delivery request (Model Delivery Request).

[0772] As an embodiment, the fourth parameter group includes a trained model (Trained Model).

[0773] As an embodiment, the fourth parameter group includes an updated model (Updated Model).

[0774] As an embodiment, the fourth type of parameter group indicates the identification of the model.

[0775] As an embodiment, the fifth parameter group includes model transfer.

[0776] As an embodiment, the fifth parameter group includes model delivery.

[0777] As an embodiment, the fifth type of parameter group indicates the identification of the model.

[0778] As an embodiment, the first type of output does not exist.

[0779] As an embodiment, the first type of output exists.

[0780] As an embodiment, the second module sends the first type of output to the fifth module.

[0781] As an embodiment, the first type of output includes a monitoring output.

[0782] As an embodiment, the second type of output does not exist.

[0783] As an embodiment, the second type of output exists.

[0784] As an embodiment, the third module sends the second type of output to the fifth module.

[0785] As an embodiment, the second type of output includes inference output.

[0786] As an embodiment, the second type of output is used by the fifth module to monitor the performance of the AI / ML model.

[0787] As an embodiment, the first data set in the first intelligent model depends on the first type of measurement.

[0788] As an embodiment, the first data set in the first intelligent model includes the first type of report.

[0789] As an embodiment, the first data set in the first intelligent model includes measurement results based on the first type of measurement.

[0790] As an embodiment, the second data set in the first intelligent model depends on the first type of measurement.

[0791] As an embodiment, the second data set in the first intelligent model depends on the first type of report.

[0792] As an embodiment, the second data set in the first intelligent model includes measurement results based on the first type of measurement.

[0793] As an embodiment, the third data set in the first intelligent model depends on the first type of measurement.

[0794] As an embodiment, the third data set in the first intelligent model depends on the first type of report.

[0795] As an embodiment, the third data set in the first intelligent model includes measurement results based on the first type of measurement.

[0796] As an embodiment, the first type of report includes the first signaling.

[0797] As an embodiment, the first type report includes the first auxiliary information.

[0798] As an embodiment, the first type of report includes the overheat assistance information.

[0799] As an embodiment, the first type of parameter group includes the first signaling.

[0800] As an embodiment, the first type of parameter group includes the first auxiliary information.

[0801] As an embodiment, the first parameter group includes the overheating auxiliary information.

[0802] As an embodiment, the second type parameter group includes the first signaling.

[0803] As an embodiment, the second type of parameter group includes the first auxiliary information.

[0804] As an embodiment, the second parameter group includes the overheating auxiliary information.

[0805] As an embodiment, the third type parameter group includes the first signaling.

[0806] As an embodiment, the third type of parameter group includes the first auxiliary information.

[0807] As an embodiment, the third parameter group includes the overheating auxiliary information.

[0808] As an embodiment, the embodiment 11 is only used to illustrate that the present application can be used for intelligent models. This embodiment does not limit the application of the present application to non-intelligent operations, and this embodiment does not limit the application of the present application to other types of intelligent models to achieve an effect equivalent to the intelligent model shown in Figure 11.

[0809] Example 12

[0810] Embodiment 12 illustrates a structural block diagram of a processing device in a first node according to an embodiment of the present application, as shown in FIG12. In FIG12, the processing device 1200 in the first node includes a first receiver 1201 and a first transmitter 1202.

[0811] A first receiver 1201 receives a first RRC message, where the first RRC message configures the first type of measurement;

[0812] The first transmitter 1202 transmits first auxiliary information in response to detecting internal overheating, wherein the first auxiliary information includes overheat auxiliary information;

[0813] In embodiment 12, the superheat assistance information indicates at least the first type of measurement.

[0814] As an embodiment, the first receiver 1201 receives first signaling after the first auxiliary information is sent; wherein the first signaling indicates updating at least the first type of measurement.

[0815] As an embodiment, the first transmitter 1202 sends a second RRC message; wherein, the second RRC message indicates that the first node supports at least the first type of measurement.

[0816] As an embodiment, the overheat assistance information indicates that at least the first type of measurement depends on the first node being inclined to temporarily reduce UE capabilities for at least the first type of measurement.

[0817] As an embodiment, the first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

[0818] As an embodiment, the overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node favors.

[0819] As an embodiment, the first receiver 1201 includes at least one of the antenna 452 or the receiver 454 or the multi-antenna receiving processor 458 or the receiving processor 456 or the controller / processor 459 or the memory 460 or the data source 467 in FIG. 4 of the present application.

[0820] As an embodiment, the first receiver 1201 includes at least the antenna 452 and the receiver 454 in FIG. 4 of the present application.

[0821] As an embodiment, the first transmitter 1202 includes at least one of the antenna 452 or transmitter 454 or multi-antenna transmission processor 457 or transmission processor 468 or controller / processor 459 or memory 460 or data source 467 in FIG. 4 of the present application.

[0822] As an embodiment, the first transmitter 1202 includes at least the antenna 452 and the transmitter 454 in FIG. 4 of the present application.

[0823] Example 13

[0824] Embodiment 13 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application, as shown in FIG13. In FIG13, the processing device 1300 in the second node includes a second transmitter 1301 and a second receiver 1302.

[0825] The second transmitter 1301 sends a first RRC message, where the first RRC message configures a first type of measurement;

[0826] A second receiver 1302 receives first auxiliary information, where the first auxiliary information includes overheat auxiliary information;

[0827] In embodiment 13, the first auxiliary information is sent in response to detecting internal overheating; the overheat auxiliary information indicates at least the first type of measurement.

[0828] As an embodiment, the second transmitter 1301 sends a first signaling after the first auxiliary information is received; wherein the first signaling indicates an update of at least the first type of measurement.

[0829] As an embodiment, the second receiver 1302 receives a second RRC message; wherein the second RRC message indicates that the sender of the first auxiliary information supports at least the first type of measurement.

[0830] As an embodiment, the overheat assistance information indicates that at least the first type of measurement depends on the sender of the first assistance information being inclined to temporarily reduce UE capabilities for at least the first type of measurement.

[0831] As an embodiment, the first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

[0832] As an embodiment, the overheating auxiliary information indicates at least one of the number or type of intelligent models preferred by the sender of the first auxiliary information.

[0833] As an embodiment, the second transmitter 1301 includes at least one of the antenna 420 or the transmitter 418 or the multi-antenna transmission processor 471 or the transmission processor 416 or the controller / processor 475 or the memory 476 in FIG. 4 of the present application.

[0834] As an embodiment, the second transmitter 1301 includes at least the antenna 420 and the transmitter 418 in FIG. 4 of the present application.

[0835] As an embodiment, the second receiver 1302 includes at least one of the antenna 420 or the receiver 418 or the multi-antenna receiving processor 472 or the receiving processor 470 or the controller / processor 475 or the memory 476 in FIG. 4 of the present application.

[0836] As an embodiment, the second receiver 1302 includes at least the antenna 420 and the receiver 418 in FIG. 4 of the present application.

[0837] Those skilled in the art will appreciate that all or part of the steps in the above method can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software functional module. This application is not limited to any specific form of 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, tablet computers, notebooks, vehicle-mounted communication equipment, wireless sensors, internet cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system devices in this application include but are not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR node B) NR node B, TRP (Transmitter Receiver Point) and other wireless communication devices.

[0838] The above description is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A first node used for wireless communication, characterized in that: include: A first receiver receives a first RRC message, wherein the first RRC message configures the first type of measurement; a first transmitter, in response to detecting internal overheating, transmitting first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information; Therein, the overheat assistance information indicates at least the first type of measurement.

2. The first node according to claim 1, characterized in that: include: The first receiver receives first signaling after the first auxiliary information is sent; The first signaling indicates updating of at least the first type of measurement.

3. The first node according to any one of claims 1 or 2, characterized in that: include: The first transmitter sends a second RRC message; The second RRC message indicates that the first node supports at least the first type of measurement.

4. The first node according to any one of claims 1 to 3, characterized in that: The overheat assistance information indicates that at least the first type of measurement dependency of the first node is biased towards temporarily reducing UE capabilities for at least the first type of measurement.

5. The first node according to any one of claims 1 to 4, characterized in that: The first type of measurement is for a first intelligent model, and the first intelligent model has at least one of a training function or an inference function.

6. The first node according to claim 5, characterized in that: The overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node favors.

7. A second node used for wireless communication, characterized in that: include: A second transmitter sends a first RRC message, where the first RRC message configures a first type of measurement; A second receiver receives first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information; Wherein, as a response to detecting internal overheating, the first auxiliary information is sent; and the overheat auxiliary information indicates at least the first type of measurement.

8. A method in a first node for wireless communication, characterized in that: include: receiving a first RRC message, wherein the first RRC message configures the first type of measurement; In response to detecting internal overheating, sending first auxiliary information, the first auxiliary information including overheat auxiliary information; Therein, the overheat assistance information indicates at least the first type of measurement.

9. A method in a second node for wireless communication, characterized in that: include: Sending a first RRC message, wherein the first RRC message configures a first type of measurement; receiving first auxiliary information, wherein the first auxiliary information includes overheat auxiliary information; Wherein, as a response to detecting internal overheating, the first auxiliary information is sent; and the overheat auxiliary information indicates at least the first type of measurement.

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