Method and apparatus in communication node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a communication node used for wireless communication. A communication node receives a first RRC message, the first RRC message configuring a first type of measurement; in response to detecting the internal overheating, transmitting first auxiliary information, the first auxiliary information including overheating auxiliary information; the overheating assistance information indicates at least the first type of measurement. According to the scheme, the influence of the first type of measurement or the intelligent model is considered, the problem of internal overheating is effectively solved through the scheme that the overheating auxiliary information indicates at least the first type of measurement or the intelligent model, and the influence on system performance is reduced.

Description

Technical Field

[0001] This application relates to transmission methods and devices in wireless communication systems, and particularly to methods and devices for solving internal overheating. Background Art

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

[0003] In the prior art, to solve the problem of internal overheating, when a User Equipment (UE) detects internal overheating, it sends overheating assistance information to the network, including the aggregated bandwidth that the UE prefers to be temporarily configured and / or the number of Multiple Input Multiple Output (MIMO) layers and / or the number of secondary component carriers, to assist the network in reconfiguring the UE, thereby solving the problem of internal overheating.

[0004] The inventors have found through research that in order to better implement some specific functions, especially but not limited to AI / ML, the UE needs to perform measurements for specific functions, resulting in an increase in measurements and / or operations, making the UE more prone to internal overheating problems. It is difficult to effectively solve the internal overheating problem or the system performance affected by the reduction of the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary component carriers only relying on the existing overheating assistance information. Therefore, how to solve the internal overheating problem is an issue that needs to be addressed.

[0005] In view of the above problems, the present application provides a solution for internal overheating. In the above problem description, the NR (New Radio) system is taken as an example. The present application is also applicable to scenarios such as LTE (Long-Term Evolution), LTE-A (LTE Advanced), or future 6G systems, and can achieve technical effects similar to those of the NR system. Further, although the present application gives specific implementation manners for 3GPP scenarios, the present application can also be used in scenarios such as WiFi / Bluetooth / BigZee, and can achieve technical effects similar to those of 3GPP scenarios. Further, adopting a unified design solution for different scenarios also helps to reduce hardware complexity and cost. Further, although the present application gives specific implementation manners for the first type of measurement that relies on measurement, the present application can also be used in scenarios where hardware capabilities are overloaded or software capabilities are overloaded, and can achieve technical effects similar to those of the first type of measurement that relies on measurement. Further, although the present application gives specific implementation manners for internal overheating, the present application can also be used in scenarios of power saving, and can achieve technical effects similar to those of internal overheating. Further, although the original intention of the present application is for the Uu interface, the present application can also be used for the PC5 interface, and can achieve technical effects similar to those of the Uu interface. Further, although the original intention of the present application is for the scenario of a terminal and a base station, the present application is also equally applicable to the V2X (Vehicle-to-Everything) scenario, the communication scenarios between a terminal and a relay, and between a relay and a base station, and can achieve technical effects similar to those in the scenario of a terminal and a base station. Further, although the original intention of the present application is for the scenario of a terminal and a base station, the present application is also equally applicable to the communication scenario of IAB (Integrated Access and Backhaul), and can achieve technical effects similar to those in the scenario of a terminal and a base station. Further, although the original intention of the present application is for the Terrestrial Network (TN) scenario, the present application is also equally applicable to the communication scenario of the Non-Terrestrial Network (NTN), and can achieve technical effects similar to those in the TN scenario. In addition, adopting a unified solution for different scenarios also helps to reduce hardware complexity and cost.

[0006] As an example, the interpretation of the terminology in the present application refers to the definitions in the 3GPP specification protocol series TS36.

[0007] As an example, the interpretation of the terminology in the present application refers to the definitions in the 3GPP specification protocol series TS38.

[0008] As an example, the definitions of the terms in this application refer to the specifications and protocols of TS37 series of 3GPP.

[0009] It should be noted that, without conflict, the embodiments and features in any node of this application can be applied to any other node. Without conflict, the embodiments and features in the embodiments of this application can be combined with each other arbitrarily.

[0010] This application discloses a method in a first node for wireless communication, which is characterized by including:

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

[0012] As a response to detecting internal overheating, sending first auxiliary information, where the first auxiliary information includes overheating assistance information;

[0013] Wherein, the overheating assistance information indicates at least the first type of measurement.

[0014] As an example, the problems to be solved by this application include: how to effectively solve the problem of internal overheating.

[0015] As an example, the problems to be solved by this application include: how to reduce the impact on system performance.

[0016] As an example, the characteristics of the above method include: by indicating at least the first type of measurement through the overheating assistance information, the problem of internal overheating is solved.

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

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

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

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

[0021] According to one aspect of the present application, it is characterized in that it includes:

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

[0023] Wherein, the first signaling indicates to update at least the first type of measurement.

[0024] According to one aspect of the present application, it is characterized in that it includes:

[0025] Send a second RRC message;

[0026] Wherein, 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 auxiliary information indicates that at least the first type of measurement depends on the first node being biased to temporarily reduce the 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 report of the first node, and reducing the impact on the first node.

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

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

[0031] As an embodiment, the characteristics of the above method include: the overheat auxiliary information considers the impact of the intelligent model, thereby solving the internal overheat problem.

[0032] As an embodiment, the benefits of the above method include: the overheat auxiliary information considers the intelligent model, and reduces 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 aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers and the performance gain of the intelligent model.

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

[0035] As an embodiment, the characteristics of the above method include: the overheat auxiliary information considers the impact of the number or type of intelligent models, thereby solving the internal overheat problem.

[0036] The present application discloses a method in a second node for wireless communication, characterized by including:

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

[0038] Receiving first auxiliary information, the first auxiliary information including overheating auxiliary information;

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

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

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

[0042] Wherein, the first signaling indicates to update at least the first type of measurement.

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

[0044] Receiving a second RRC message;

[0045] Wherein, the second RRC message indicates that the sender of the first auxiliary information supports at least the first type of measurement.

[0046] According to one aspect of the present application, the overheating auxiliary information indicates that at least the first type of measurement depends on the sender of the first auxiliary information tending to temporarily reduce the UE capabilities for at least the first type of measurement.

[0047] According to one aspect of the present application, 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.

[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 that the sender of the first auxiliary information favors.

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

[0050] A first receiver, receiving a first RRC message, the first RRC message configuring the first type of measurement;

[0051] A first transmitter, sending first auxiliary information in response to detecting internal overheating, the first auxiliary information including overheating auxiliary information;

[0052] Wherein, the overheat assistance information indicates at least the first type of measurement.

[0053] This application discloses a second node for use in wireless communication, characterized by including:

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

[0055] A second receiver that receives first assistance information, and the first assistance information includes overheat assistance information;

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

[0057] This application discloses a method in a first node for use in wireless communication, characterized by including:

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

[0059] In response to detecting internal overheat, sending first assistance information, and the first assistance information includes overheat assistance information;

[0060] Wherein, the overheat assistance information indicates at least the first intelligent model.

[0061] According to one aspect of this application, it is characterized by including:

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

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

[0064] According to one aspect of this application, it is characterized by including:

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

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

[0067] According to one aspect of this application, the overheat assistance information indicates that at least the first intelligent model depends on the first node being inclined to temporarily reduce the UE capabilities for the at least first intelligent model.

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

[0069] The present application discloses a method in a second node for wireless communication, characterized by including:

[0070] Sending a first RRC message that configures a first intelligent model;

[0071] Receiving first assistance information that includes overheating assistance information;

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

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

[0074] After receiving the first assistance information, sending a first signaling;

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

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

[0077] Receiving a second RRC message;

[0078] Wherein, the second RRC message indicates that the sender of the first assistance information supports at least the first intelligent model.

[0079] According to one aspect of the present application, it is characterized in that the overheating assistance information indicates that at least the first intelligent model depends on the sender of the first assistance information being biased towards temporarily reducing the UE capabilities for the at least first intelligent model.

[0080] According to one aspect of the present application, it is characterized in that the overheating assistance information indicates at least one of the number or type of intelligent models to which the sender of the first assistance information is biased.

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

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

[0083] A first transmitter that, in response to detecting internal overheating, sends first assistance information that includes overheating assistance information;

[0084] Among them, the overheating assistance information indicates at least the first intelligent model.

[0085] This application discloses a second node for use in wireless communication, characterized by including:

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

[0087] A second receiver that receives first assistance information, and the first assistance information includes overheating assistance information;

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

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

[0090] -. Effectively solves the problem of internal overheating;

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

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

[0093] -. Balances the performance gain of the aggregated bandwidth and / or the number of MIMO layers and / or the number of secondary carriers and the first type of measurement / intelligent model. Description of the Drawings

[0094] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes, and advantages of this application will become more obvious:

[0095] Figure 1 Shows a flowchart of the transmission of the first assistance information according to an embodiment of this application;

[0096] Figure 2 Shows a schematic diagram of the network architecture according to an embodiment of this application;

[0097] Figure 3 Shows a schematic diagram of an embodiment of the radio protocol architecture of the user plane and the control plane according to an embodiment of this application;

[0098] Figure 4 Shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0099] Figure 5 Shows a flowchart of wireless signal transmission according to an embodiment of this application;

[0100] Figure 6 A schematic diagram showing that overheat assistance information according to an embodiment of the present application indicates that at least the first type of measurement depends on a first node being biased to temporarily reduce the UE capabilities for at least the first type of measurement;

[0101] Figure 7 A schematic diagram showing the first type of measurement for a first intelligent model according to an embodiment of the present application;

[0102] Figure 8 A schematic diagram showing that overheat assistance information according to an embodiment of the present application indicates at least one of the number or type of intelligent models to which a first node is biased;

[0103] Figure 9 A schematic diagram showing a first signaling according to an embodiment of the present application;

[0104] Figure 10 A schematic diagram showing a second RRC message according to an embodiment of the present application;

[0105] Figure 11 A schematic diagram showing a first intelligent model according to an embodiment of the present application;

[0106] Figure 12 A structural block diagram showing a processing device in a first node according to an embodiment of the present application;

[0107] Figure 13 A structural block diagram showing a processing device in a second node according to an embodiment of the present application. Detailed implementation manners

[0108] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that, without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily.

[0109] Example 1

[0110] Embodiment 1 exemplifies a flowchart of the transmission of first assistance information according to an embodiment of the present application, as shown in the accompanying Figure 1 figures. In the accompanying Figure 1 figures, each block represents a step. It should be emphasized in particular that the order of the various blocks in the figures does not represent the chronological order between the steps they represent.

[0111] In Embodiment 1, in step 101, the first node in the present application receives a first RRC message, and the first RRC message configures a first type of measurement; in step 102, in response to detecting internal overheating, the first node sends first auxiliary information, and 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 overheating auxiliary 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, and the one including the otherConfig includes an overheatingAssistanceConfig, and the one 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 through a 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 through a DCCH (Dedicated Control Channel).

[0122] As an embodiment, the first RRC message is transmitted through an 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, the 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 - mentioned embodiment, the name of the field includes MeasObject.

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

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

[0135] As a sub - embodiment of the above - mentioned embodiment, the name of the field 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 - mentioned embodiment, the one domain belongs to an IE whose name includes MeasObject.

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

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

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

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

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

[0143] As a sub - embodiment of the above - mentioned embodiment, the name of the one 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 measurement is for Beam Management (BM).

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

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

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

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

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

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

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

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

[0157] As an example, the first type of measurement refers to measurement for a given radio signal.

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

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

[0160] As an example, the given radio signal is a periodic signal.

[0161] As an example, the given radio signal is a reference signal.

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

[0163] As an example, the given radio signal is a CSI (Channel State Information)-RS.

[0164] As an example, the given radio signal is an SSB or a CSI-RS.

[0165] As an example, the given radio signal is pre-configured.

[0166] As an example, the given radio signal is configured for measurement based on an intelligent model.

[0167] As an example, the given wireless signal is configured for AI / ML-based measurements.

[0168] As an example, the first type of measurement includes measurements for a given performance metric.

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

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

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

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

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

[0174] As an example, the given performance metric is interference.

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

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

[0177] As an example, the given performance metric is overheating.

[0178] As an example, the given performance metric is temperature.

[0179] As an example, the given performance metric is computational complexity.

[0180] As an example, the given performance metric is FLOP.

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

[0182] As an example, the given performance metric is CSI overhead reduction.

[0183] As an example, the given performance metric is monitoring accuracy.

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

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

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

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

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

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

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

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

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

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

[0194] As an example, when the 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 example, the measurement result based on the first type of measurement and the first threshold use the same performance metric.

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

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

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

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

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

[0201] As an example, the measurement result based on the first type of measurement is actually measured.

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

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

[0204] As an example, the measurement result based on the first type of measurement includes the ranking of the detected cells.

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

[0206] As an example, the measurement result based on the first type of measurement includes the index of the detected RS resources.

[0207] As an example, the measurement result based on the first type of measurement includes the ranking of the detected RS resources.

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

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

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

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

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

[0213] As an example, 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 example, the first RRC message includes a ReportConfigNR, and the ReportConfigNR configures the first type of report.

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

[0216] As an example, the first RRC message includes a MeasIdToAddMod, and 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 example, the first RRC message configures the first type of measurement and the first event.

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

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

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

[0221] As an example, the measurement result based on the first type of measurement and the second threshold adopt the same performance metrics.

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

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

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

[0225] As an example, the detected internal overheat triggers the sending of the first auxiliary information.

[0226] As an example, the detected internal overheat triggers an update of at least the first type of measurement, and the update of at least the first type of measurement triggers the sending of the first auxiliary information.

[0227] As an example, the phrase in response to the detected internal overheat means: when the internal overheat is detected.

[0228] As an example, the phrase "in response to detecting internal overheating" means: once internal overheating is detected.

[0229] As an example, the phrase "in response to detecting internal overheating" means: accompanied by the detection of internal overheating.

[0230] As an example, the phrase "in response to detecting internal overheating" means: when experiencing internal overheating.

[0231] As an example, the phrase "in response to detecting internal overheating" means: when the overheating 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" means: if the overheating condition has been detected.

[0234] As an example, "detecting internal overheating" means: experiencing internal overheating.

[0235] As an example, "detecting internal overheating" means: the overheating condition has been detected.

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

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

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

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

[0240] As an example, 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 example, when internal overheating is detected, the first timer is not running.

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

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

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

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

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

[0247] As an example, the first auxiliary information is transmitted via the sidelink (SL).

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

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

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

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

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

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

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

[0255] As an example, the name of the first auxiliary information includes AssistanceInformation.

[0256] As an example, the name of the first auxiliary information includes UEAssistanceInformation.

[0257] As an example, the first auxiliary information includes a UEAssistanceInformation message.

[0258] As an example, the first auxiliary information is a UE Assistance Information message.

[0259] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information indicates that the first node detects internal overheating.

[0260] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information indicates that the first node has reduced the UE capabilities to address internal overheating.

[0261] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information indicates that the first node requests to reduce the UE capabilities to address internal overheating.

[0262] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information indicates the UE capabilities favored by the first node to address internal overheating.

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

[0264] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information is for the overheating assistance information.

[0265] As an example, the first auxiliary information including overheating assistance information means that the first auxiliary information provides the overheating assistance information.

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

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

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

[0269] As an example, the name of the overheating assistance information includes Overheating.

[0270] As an example, the name of the overheating assistance information includes Overheating Assistance.

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

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

[0273] As an example, the overheating assistance information indicates the ability configuration that the first node favors.

[0274] As an example, the overheating assistance information indicates the adjusted ability configuration of the first node.

[0275] As an example, "favors" means: desired.

[0276] As an example, "favors" means: recommended.

[0277] As an example, "favors" means: requested.

[0278] As an example, "favors" means: favors being configured.

[0279] As an example, "favors" means: favors being temporarily configured.

[0280] As an example, the overheating assistance information explicitly indicates the first type of measurement.

[0281] As an example, the overheating assistance information implicitly indicates the first type of measurement.

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

[0283] As an example, the overheating assistance information indicates multiple measurements, and the first type of measurement is one of the multiple measurements.

[0284] As an example, the overheating assistance information indicates a reduced ability configuration.

[0285] As an example, the overheating assistance information indicates a reduced ability configuration for the first type of measurement.

[0286] As an example, the overheating assistance information indicates that the reduced ability configuration includes the ability configuration for the first type of measurement.

[0287] As an example, the overheating assistance information indicates that the reduced ability configuration is the ability configuration for the first type of measurement.

[0288] As an example, the overheat assistance information indicates the capability configuration to which the first node is biased.

[0289] As an example, the overheat assistance information indicates the capability configuration to which the first node is biased for the first type of measurement.

[0290] As an example, the capability configuration to which the first node is biased indicated by the overheat assistance information includes the capability configuration for the first type of measurement.

[0291] As an example, the capability configuration to which the first node is biased indicated by the overheat assistance information is the capability configuration for the first type of measurement.

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

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

[0294] As an example, the reason for requesting an update of at least the first type of measurement indicated by the overheat assistance information includes detecting internal overheat.

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

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

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

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

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

[0300] As an example, the overheat assistance information indicates the aggregated bandwidth; the first node is biased towards reducing the aggregated bandwidth.

[0301] As a sub - example of the above example, the overheat assistance information indicates the maximum aggregated bandwidth of all downlink carriers of FR1 to which the first node is biased to be temporarily configured.

[0302] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum aggregation bandwidth of all uplink carriers of the temporarily configured FR1.

[0303] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum aggregation bandwidth of all downlink carriers of the temporarily configured FR2 - 1.

[0304] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum aggregation bandwidth of all uplink carriers of the temporarily configured FR2 - 1.

[0305] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum aggregation bandwidth of all downlink carriers of the temporarily configured FR2 - 2.

[0306] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum aggregation bandwidth of all uplink carriers of the temporarily configured FR2 - 2.

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

[0308] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum number of MIMO layers of each serving cell operating on FR1 that is temporarily configured in the downlink.

[0309] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum number of MIMO layers of each serving cell operating on FR1 that is temporarily configured in the uplink.

[0310] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum number of MIMO layers of each serving cell operating on FR1 that is temporarily configured in the downlink.

[0311] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum number of MIMO layers of each serving cell operating on FR1 that is temporarily configured in the uplink.

[0312] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates that the first node prefers the maximum number of MIMO layers of each serving cell operating on FR1 that is temporarily configured in the downlink.

[0313] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates the maximum number of MIMO layers of each serving cell that is temporarily configured to work in FR1 and to which the first node is biased in the uplink.

[0314] As an embodiment, the overheating assistance information indicates the number of secondary carriers; the first node is biased towards reducing the number of secondary carriers.

[0315] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates the maximum number of SCell (Secondary Cell) that is temporarily configured and to which the first node is biased in the downlink.

[0316] As a sub - embodiment of the above - mentioned embodiment, the overheating assistance information indicates the maximum number of SCell that is temporarily configured and to which the first node is biased in the uplink.

[0317] Example 2

[0318] Embodiment 2 exemplifies a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the appendix Figure 2 shown. Appendix Figure 2Describes the 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 continues to evolve in the future by 3GPP; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown in the figure, the network architecture 200 provides packet-switched services. However, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks that provide circuit-switched services or other cellular networks. The RAN includes node 203 and other nodes 204. Node 203 provides termination of user and control plane protocols towards UE 201. Node 203 can be connected to other nodes 204 via the Xn interface (e.g., backhaul) / X2 interface. Node 203 can also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (Transmission and Reception Point), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides an access point to the core network 210 for UE 201. Examples of UE 201 include cellular phones, smartphones, 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, automobiles, wearable devices, or any other similar functional device.A person skilled in the art may also refer to the UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term. The node 203 is connected to the core network 210 through the S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that processes the signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, and the S-GW / UPF 212 itself is 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. The Internet service 230 includes operator-corresponding Internet protocol services, specifically including the Internet, intranet, IMS (IP Multimedia Subsystem), and packet-switched streaming services.

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

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

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

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

[0323] As an example, 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 the present 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 is simultaneously connected to both the node 203 and the node 204.

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

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

[0336] As an example, both the node 203 and the node 204 provide radio resources for the UE 201 simultaneously.

[0337] As an example, the node 203 and the node 204 do not provide radio resources for the UE 201 simultaneously.

[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 equipment, and the node 204 is a base station equipment.

[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 equipment, the node 203 is a base station equipment, and the node 204 is a base station equipment.

[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.

[0347] As an embodiment, the user equipment supports 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 a first type of measurement.

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

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

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

[0354] As an embodiment, the user equipment is an Internet of Things (IoT) device, and the IoT device is an IoT terminal or a vehicle terminal or a ship or a terminal of an industrial Internet of Things.

[0355] As an embodiment, the user equipment is a test equipment 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 equipment supports transmission in a non-terrestrial network.

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

[0359] As an embodiment, the base station device is a macro cellular base station or a micro cell base station or a pico cell base station or a femtocell; the base station device is a base transceiver station (BTS) or a 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), and a TRP (Transmitter Receiver Point).

[0361] As an embodiment, the base station device is an aerial node, and the aerial node is a flying platform device or 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 or 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 shows 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 the appendix Figure 3 as follows Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300 Figure 3The radio protocol architecture for controlling plane 300 is shown in three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. The L1 layer will be referred to as PHY301 in this text. Layer 2 (L2 layer) 305 is above PHY301 and includes a MAC (Medium Access Control) sub-layer 302, an RLC (Radio Link Control) sub-layer 303, and a PDCP (Packet Data Convergence Protocol) sub-layer 304. The PDCP sub-layer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sub-layer 304 also provides security by encrypting data packets and provides handover support. The RLC sub-layer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for disordered reception due to HARQ (Hybrid Automatic Repeat Request). The MAC sub-layer 302 provides multiplexing between logical and transport channels. The MAC sub-layer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell. The MAC sub-layer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sub-layer 306 in Layer 3 (L3 layer) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling. The radio protocol architecture of the user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). In the user plane 350, the radio protocol architecture is generally the same as the corresponding layers and sub-layers in the control plane 300 for the physical layer 351, the PDCP sub-layer 354 in the L2 layer 355, the RLC sub-layer 353 in the L2 layer 355, and the MAC sub-layer 352 in the L2 layer 355. However, the PDCP sub-layer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead. The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sub-layer 356, and the SDAP sub-layer 356 is responsible for mapping between QoS flows and data radio bearers (DRBs) to support service diversity.

[0373] As an example, the Figure 3 radio protocol architecture in

[0374] As an example, the Figure 3The wireless protocol architecture in [ ] is applicable to the second node in this application.

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

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

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

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

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

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

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

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

[0383] Example 4

[0384] Example 4 shows a schematic diagram of a first communication device and a second communication device according to this application, as shown in the appendix Figure 4 as shown. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 that communicate 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] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation for the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for 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 encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, and mapping of signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital space precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to subcarriers, multiplexes with reference signals (e.g., pilots) in the time domain and / or frequency domain, and then uses the inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. Subsequently, the multi-antenna transmit processor 471 performs transmit analog precoding / beamforming operations on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream and then provides it to different antennas 420.

[0388] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives signals through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multi-carrier symbol stream for providing to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operations on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 uses the fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receive processor 456, where the reference signal will be used for channel estimation, and the data signal recovers any spatial streams destined for the first communication device 450 after multi-antenna detection in the multi-antenna receive processor 458. The symbols on each spatial stream are demodulated and recovered in the receive processor 456, and soft decisions are generated. Subsequently, the receive processor 456 decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 410 on the physical channel. Subsequently, the upper layer data and control signals are 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. In the 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, control signal processing to recover upper layer data packets from the core network. Subsequently, the upper layer data packets are provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing.

[0389] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, the data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the second communication device 410 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, and implements the L2 layer functions for the user plane and the 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 processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Subsequently, the transmit processor 468 modulates the generated spatial streams into multi-carrier / single-carrier symbol streams, and after passing through the analog precoding / beamforming operation in the multi-antenna transmit processor 457, provides them 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 radio frequency symbol stream and then provides it to the antenna 452.

[0390] In the transmission from the first communication device 450 to the second communication device 410, the functions at the second communication device 410 are similar to the receive functions described at the first communication device 450 in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receive processor 472 and the receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as a computer-readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper layer data packets from the UE 450. The upper layer data packets from the controller / processor 475 may be provided to the core network.

[0391] As an example, the first communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor, and the first communication device 450 is at least: receiving a first RRC message that configures the first type of measurement; sending, in response to detecting internal overheating, first auxiliary information that includes overheating auxiliary information; wherein the overheating auxiliary information indicates at least the first type of measurement.

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

[0393] As an example, the second communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 410 is at least: sending a first RRC message that configures a first type of measurement; receiving first auxiliary information that includes overheating auxiliary information; wherein the first auxiliary information is sent in response to detecting internal overheating; the overheating auxiliary information indicates at least the first type of measurement.

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

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

[0396] As an example, 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 example, at least one of the antenna 452, the receiver 454, the receive processor 456, and the controller / processor 459 is used to receive the first RRC message.

[0398] As an example, 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 RRC message.

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

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

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

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

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

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

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

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

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

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

[0409] As an example, 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] Embodiment 5 exemplifies a wireless signal transmission flowchart according to an embodiment of the present application, as shown in the appendix Figure 5 It should be specifically noted that the order in this example does not limit the signal transmission order and implementation order in the present application.

[0413] For 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, a first auxiliary information is sent, and 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, a first signaling is received; wherein, the first signaling indicates an update of at least the first type of measurement.

[0414] For 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, there is a wireless connection between the first node U01 and the second node N02.

[0416] As an embodiment, there is a wired connection between the first node U01 and the second node N02.

[0417] As an embodiment, there is a Uu interface connection between the first node U01 and the second node N02.

[0418] As an embodiment, there is an IAB interface connection between the first node U01 and the second node N02.

[0419] As an embodiment, there is a PC5 interface connection between the first node U01 and the second node N02.

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

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

[0422] As an example, the dashed box F5.1 does not exist.

[0423] As an example, the dashed box F5.2 is optional.

[0424] As an example, the dashed box F5.2 exists.

[0425] As an example, the dashed box F5.2 does not exist.

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

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

[0428] As an example, in response to receiving the second RRC message, the second node sends the first RRC message.

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

[0430] As an example, 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 example, 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 example, the second RRC message includes auxiliary information.

[0433] As an example, the second RRC message includes UE auxiliary information.

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

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

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

[0437] As an example, 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 example, the second RRC message indicates the type of measurement supported by the first node.

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

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

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

[0442] As an example, 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 example, the second RRC message is a UECapabilityInformation message.

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

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

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

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

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

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

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

[0451] As an example, the second node determines to send the first signaling according to the first auxiliary information.

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

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

[0454] As an example, in response to receiving the first signaling, update at least the first type of measurement.

[0455] As an example, in response to receiving the first signaling, execute the first signaling.

[0456] As an example, in response to receiving the first signaling, notify a lower layer; the lower layer includes a physical layer.

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

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

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

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

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

[0462] As an example, the first signaling includes a MAC subheader, and the MAC subheader indicates to update the first type of measurement.

[0463] As an example, the first signaling includes a MAC CE, and the MAC CE indicates to update the first type of measurement.

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

[0465] As an example, the update is a switch.

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

[0467] As an example, the update is a Reconfiguration.

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

[0469] As an example, the update is a deactivate.

[0470] As an example, the update is a suspend.

[0471] As an example, the update is a stop.

[0472] As an example, the update is a reduce.

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

[0474] As an example, the update is a suspend.

[0475] As an example, 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 instructing to update at least the first type of measurement; in response to receiving the first signaling, the first type of measurement is updated.

[0476] As an example, 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] Example 6 illustrates a schematic diagram of overheating assistance information according to an embodiment of the present application indicating that at least the first type of measurement depends on the first node being biased to temporarily reduce the UE capabilities for at least the first type of measurement.

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

[0480] As an example, the first node is biased to temporarily reduce the UE capabilities for at least the first type of measurement.

[0481] As an example, in response to detecting internal overheating, the first node tends to temporarily reduce the UE capabilities for at least the first type of measurement, and the overheating assistance information indicates at least the first type of measurement.

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

[0483] As an example, when internal overheating is detected, at least the first type of measurement is in progress.

[0484] Example 7

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

[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 the training function or the inference function.

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

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

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

[0490] As an example, the model refers to a model.

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

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

[0493] As an example, the model refers to a program.

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

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

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

[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 example, the intelligent model in this application has at least one of the training function or the inference function.

[0500] As an example, a module of the first intelligent model has both a training function and an inference function.

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

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

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

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

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

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

[0507] As an example, the inference function provides an inference output.

[0508] As an example, the inference function refers to the AI / ML inference function.

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

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

[0511] As an example, the management function oversees the intelligent model.

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

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

[0514] As an example, the first type of measurement for the first intelligent model 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 example, the first type of measurement for the first intelligent model means that the first type of measurement is dedicated to the first intelligent model.

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

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

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

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

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

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

[0522] As an example, the first type of measurement for the first intelligent model means that the first type of measurement is for the inference function of the first intelligent model.

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

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

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

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

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

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

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

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

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

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

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

[0534] As an example, the overheat assistance information indicating at least the first type of measurement means that the overheat assistance information indicates at least the first intelligent model.

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

[0536] As an example, the overheat assistance information explicitly indicates at least the first intelligent model.

[0537] As an example, the overheat assistance information implicitly indicates at least the first intelligent model.

[0538] As an example, the overheat assistance information indicates only the first intelligent model.

[0539] As an example, the overheat assistance information indicates multiple intelligent models, and the first intelligent model is one of the multiple intelligent models.

[0540] As an example, the overheat assistance information indicates a reduced capability configuration.

[0541] As an example, the overheat assistance information indicates a reduced capability configuration for the intelligent model.

[0542] As an example, the overheat assistance information indicates a reduced capability configuration for the first intelligent model.

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

[0544] As an example, the overheat assistance information indicates that the reduced capability configuration is for the capability configuration of the first intelligent model.

[0545] As an example, the overheat assistance information indicates the capability configuration biased towards the first node.

[0546] As an example, the overheat assistance information indicates the capability configuration biased towards the first node for the intelligent model.

[0547] As an example, the overheat assistance information indicates the capability configuration biased towards the first node for the first intelligent model.

[0548] As an example, the overheat assistance information indicates that the capability configuration biased towards the first node includes the capability configuration for the intelligent model.

[0549] As an example, the overheat assistance information indicates that the capability configuration biased towards the first node is for the capability configuration of the intelligent model.

[0550] As an example, the overheat assistance information indicates that the capability configuration biased towards the first node includes the capability configuration for the first intelligent model.

[0551] As an example, the overheat assistance information indicates that the capability configuration biased towards the first node is for the capability configuration of the first intelligent model.

[0552] As an example, the overheat assistance information requests an update of at least the first intelligent model.

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

[0554] As an example, the overheat assistance information indicates that the reason for requesting an update of at least the first intelligent model includes detecting internal overheat.

[0555] As an example, the overheat assistance information indicates the index of the intelligent model for which deactivation is requested.

[0556] As an example, the overheat assistance information indicates the type of the intelligent model for which deactivation is requested.

[0557] As an example, the overheat assistance information indicates the number of intelligent models that the first node favors.

[0558] As an example, the overheat assistance information indicates the index of the intelligent model that the first node favors.

[0559] As an example, the overheat assistance information indicates the index of the intelligent model that the first node favors to deactivate.

[0560] As an example, the overheat assistance information indicates the type of the intelligent model that the first node favors.

[0561] As an example, the overheat assistance information indicates the type of the intelligent model that the first node favors to deactivate.

[0562] As an example, the overheat assistance information indicates that the first node has updated at least the first intelligent model.

[0563] As an example, the overheat assistance information indicates the result of updating at least the first intelligent model.

[0564] As an example, the overheat assistance information indicates the reason for updating at least the first intelligent model.

[0565] As an example, the overheat assistance information indicates the index of at least the first intelligent model.

[0566] As an example, the setting of the overheat assistance information depends on the number of intelligent models.

[0567] As an example, the overheat assistance information indicates the index of the intelligent model that the first node has deactivated.

[0568] As an example, the overheat assistance information indicates the type of the intelligent model that the first node has deactivated.

[0569] As an example, the overheat assistance information indicates that at least the first type of measurement depends on the UE capability that the first node favors to temporarily reduce for at least the first type of measurement, which means that the overheat assistance information indicates that at least the first intelligent model depends on the UE capability that the first node favors to temporarily reduce for at least the first intelligent model.

[0570] As an example, the overheat assistance information indicates that at least the first type of measurement depends on the first node and tends to temporarily reduce the UE capabilities for at least the first type of measurement. Alternatively, the overheat assistance information indicates that at least the first intelligent model depends on the first node and tends to temporarily reduce the UE capabilities for at least the first intelligent model.

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

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

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

[0574] As an example, the first RRC message configures the first type of measurement. Alternatively, the first RRC message configures the first intelligent model.

[0575] As an example, the first RRC message configures the first type of measurement; at least one of AI, ML, model, or functionality is included in the name of a domain.

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

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

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

[0579] As an example, the domain that configures the first type of measurement in the first RRC message is associated with the domain that configures the first intelligent model.

[0580] As an example, 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 example, the first RRC message includes the parameters of the first intelligent model.

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

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

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

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

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

[0587] As an example, the parameters of the first intelligent model include the performance metrics of the first intelligent model.

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

[0589] As an example, the type of the intelligent model depends on the location of the inference module of the intelligent model.

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

[0591] As an example, the type of the intelligent model depends on the Collaboration level of the intelligent model.

[0592] As an example, the type of the intelligent model depends on the use of the intelligent model.

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

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

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

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

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

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

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

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

[0601] As an example, candidates for the type of the intelligent model include that the inference module is located on the UE side and the inference module is located on the network side.

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

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

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

[0605] As an example, candidates for the type of the intelligent model include at least one of CSI feedback or Beam management or Positioning or Mobility or Handover.

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

[0607] As an example, candidates for the type of the intelligent model include no collaboration and having collaboration.

[0608] As an example, candidates for the type of the intelligent model include no collaboration, collaboration without intelligent model transfer based on signaling, and collaboration with intelligent model transfer based on signaling.

[0609] As an example, in response to detecting internal overheating, send the first auxiliary information; after the first auxiliary information is sent, receive a first signaling that instructs to update at least the first intelligent model; in response to receiving the first signaling, update the first intelligent model.

[0610] As an example, in response to detecting internal overheating, update at least the first intelligent model; in response to updating at least the first intelligent model, send the first auxiliary information.

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

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

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

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

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

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

[0617] As a sub - example of the above - mentioned example, the output of the management function of the first intelligent model is a Management Instruction.

[0618] As a sub - example of the above - mentioned example, the Management Instruction includes the input of the inference function.

[0619] As a sub - example of the above - mentioned example, the Management Instruction is the input of the inference function.

[0620] As a sub - example of the above - mentioned example, the Management Instruction is used for selection of an intelligent model.

[0621] As a sub - example of the above - mentioned example, the Management Instruction is used for activation / de - activation of an intelligent model.

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

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

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

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

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

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

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

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

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

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

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

[0636] As a sub - embodiment of the above - mentioned embodiment, in response to detecting internal overheating, send the first auxiliary information; after the first auxiliary information is sent, receive a first signaling that instructs to update at least the first intelligent model; in response to receiving the first signaling, update the first intelligent model.

[0637] As an affiliated embodiment of the above - mentioned sub - embodiment, the output of the management function of the first intelligent model is a Management Request.

[0638] As an affiliated embodiment of the above - mentioned sub - embodiment, in response to the management function of the first intelligent model receiving the indication, trigger the first auxiliary information.

[0639] As an affiliated embodiment of the above - mentioned sub - embodiment, in response to the management function of the first intelligent model receiving the indication, trigger the overheating auxiliary information.

[0640] As an affiliated embodiment of the above - mentioned sub - embodiment, in response to the management function of the first intelligent model receiving the indication, trigger the Management Request.

[0641] As an affiliated embodiment of the above - mentioned sub - embodiment, the Management Request includes Performance Feedback.

[0642] As an affiliated embodiment of the above - mentioned sub - embodiment, the Management Request includes the given performance metrics.

[0643] As an affiliated embodiment of the above - mentioned sub - embodiment, the overheating auxiliary information requests to update at least the first intelligent model.

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

[0645] As an affiliated embodiment of the above - mentioned sub - embodiment, the reason that the overheating auxiliary information includes for requesting to update at least the first intelligent model is detecting internal overheating.

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

[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 indication by the 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 first auxiliary information indicates that the reason for updating at least the first intelligent model includes detecting internal overheating.

[0652] Example 8

[0653] Embodiment 8 exemplifies a schematic diagram of the overheat auxiliary information indicating at least one of the number or type of intelligent models biased towards the first node according to an embodiment of the present application. As shown in the appendix Figure 8 as follows.

[0654] In Embodiment 8, the overheat auxiliary information indicates at least one of the number or type of intelligent models biased towards the first node.

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

[0656] As an embodiment, the overheat auxiliary information indicates the number of intelligent models biased towards the first node.

[0657] As an embodiment, the overheat auxiliary information indicates the number and type of intelligent models biased towards the first node.

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

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

[0660] As an example, the number of intelligent models biased towards the first node refers to the maximum value of the number of intelligent models of each type biased towards the first node.

[0661] As an example, a candidate for the number of intelligent models biased towards the first node includes 0.

[0662] As an example, any candidate for the number of intelligent models biased towards the first node is greater than 0.

[0663] As an example, a candidate for the maximum value of the number of intelligent models biased towards the first node includes 0.

[0664] As an example, any candidate for the maximum value of the number of intelligent models biased towards the first node is greater than 0.

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

[0666] As an example, the maximum value of the number of intelligent models biased towards 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 example, the overheating assistance information indicates at least one of the number or type of intelligent models biased towards the first node, the aggregated bandwidth, the number of MIMO layers, and the number of secondary carriers.

[0668] Example 9

[0669] Example 9 exemplifies a schematic diagram of a first signaling according to an embodiment of the present application, as shown in the appendix Figure 9 as shown.

[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 indicating an update of at least the first type of measurement means that the first signaling indicates an update of at least the first intelligent model.

[0671] As an example, the first signaling belongs to the output of the management function of the first intelligent model.

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

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

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

[0675] As an example, 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 instructing to update at least the first intelligent model; in response to the first signaling being received, the first intelligent model is updated.

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

[0677] As an example, the first signaling instructing to update at least the first type of measurement can be replaced with: the first signaling instructing to update at least the first intelligent model.

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

[0679] As an example, the first signaling commands the first node to update at least the first intelligent model.

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

[0681] As an example, updating at least the first intelligent model means deactivating at least the first intelligent model.

[0682] As an example, updating at least the first intelligent model means stopping at least the first intelligent model.

[0683] As an example, updating at least the first intelligent model means pausing at least the first intelligent model.

[0684] As an example, updating at least the first intelligent model means releasing at least the first intelligent model.

[0685] As an example, updating at least the first intelligent model means removing at least the first intelligent model.

[0686] As an example, updating at least the first intelligent model means modifying at least the first intelligent model.

[0687] As an example, updating at least the first intelligent model means switching at least the first intelligent model.

[0688] As an example, the updating of at least the first intelligent model means rolling back at least the first intelligent model.

[0689] As an example, the updating of at least the first intelligent model means updating the state of at least one intelligent model.

[0690] As an example, the updating of at least one intelligent model means updating the number of at least one intelligent model.

[0691] As an example, the updating of at least one intelligent model means updating the input of at least one intelligent model.

[0692] As an example, the updating of at least one intelligent model means updating the output of at least one intelligent model.

[0693] As an example, the updating of at least one intelligent model means updating the parameters of at least one intelligent model.

[0694] As an example, the first signaling is a Management Instruction.

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

[0696] As an example, the first signaling includes a bitmap, and at least one bit in the bitmap is set to 0; each bit in the bitmap corresponds to an intelligent model, and a bit in the bitmap being set to 0 indicates deactivating the intelligent model corresponding to the bit; a bit in the bitmap being set to 1 indicates activating the intelligent model corresponding to the bit.

[0697] As an example, the first signaling includes a bitmap, and at least one bit in the bitmap is set to 1; each bit in the bitmap corresponds to an intelligent model, and a bit in the bitmap being set to 1 indicates deactivating the intelligent model corresponding to the bit; a bit in the bitmap being set to 0 does not indicate deactivating the intelligent model corresponding to the bit.

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

[0699] Example 10

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

[0701] In Example 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 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 an intelligent model.

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

[0703] As an embodiment, the second RRC message implicitly indicates that the first node supports an 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 supported by the first node for each type.

[0707] 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 for each type.

[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 type 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 the index of the intelligent model supported by the first node.

[0712] As a sub - embodiment of the above - mentioned 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 example, 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 example, 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 example, at least one field in the second RRC message is set to the type of intelligent model supported by the first node.

[0716] As an example, 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 example, the second RRC message indicates whether the first node supports a fallback intelligent model.

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

[0719] As an example, candidates for the maximum value of the number of intelligent models supported by the first node are greater than 0.

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

[0721] As an example, 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; the first type of measurement depends on the at least one intelligent model.

[0722] As an example, 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 indicates that the first node supports at least one intelligent model.

[0723] Example 11

[0724] Example 11 exemplifies a schematic diagram of an intelligent model according to an embodiment of the present application, as shown in the appendix Figure 11 shown. The appendix Figure 11 includes a first module, a second module, a third module, a fourth module, and a fifth module.

[0725] In Example 11, in the appendix Figure 11In the intelligent model shown, 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 reduces transmission delay.

[0728] As an embodiment, any one of 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 of 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 of 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 the function of data collection.

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

[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 example, the second module has the function of model training.

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

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

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

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

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

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

[0745] As an example, the third module has the function of inference.

[0746] As an example, the third module is used for Inference.

[0747] As an example, the third module is responsible for inference.

[0748] As an example, the fourth module is used for Model Storage.

[0749] As an example, the fourth module has the function of Model Storage.

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

[0751] As an example, the fourth module is responsible for storing the trained model that can be used to perform inference processing.

[0752] As an example, the fifth module is used for Management.

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

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

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

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

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

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

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

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

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

[0762] As an example, the first type of parameter group includes the monitoring output.

[0763] As an example, the second type of parameter group includes the management instruction.

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

[0765] As an example, the second type of parameter group includes the identification of the model.

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

[0767] As an example, the second type of parameter group is used to switch the model.

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

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

[0770] As an example, the third type of parameter group includes the model transfer request.

[0771] As an example, the third type of parameter group includes the model delivery request.

[0772] As an example, the fourth type of parameter group includes a Trained Model.

[0773] As an example, the fourth type of parameter group includes an Updated Model.

[0774] As an example, the fourth type of parameter group indicates the identity of a model.

[0775] As an example, the fifth type of parameter group includes a Model Transfer.

[0776] As an example, the fifth type of parameter group includes a Model Delivery.

[0777] As an example, the fifth type of parameter group indicates the identity of a model.

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

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

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

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

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

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

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

[0785] As an example, the second type of output includes an Inference Output.

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

[0787] As an example, the first dataset in the first intelligent model depends on the first type of measurement.

[0788] As an example, the first dataset in the first intelligent model includes the first type of report.

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

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

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

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

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

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

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

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

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

[0798] As an example, the first type of report includes the overheat auxiliary information.

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

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

[0801] As an example, the first type of parameter group includes the overheat auxiliary information.

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

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

[0804] As an example, the second type of parameter group includes the overheat auxiliary information.

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

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

[0807] As an example, the third type of parameter group includes the overheat auxiliary information.

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

[0809] Example 12

[0810] Example 12 exemplifies a structural block diagram of a processing device in a first node according to an embodiment of the present application; as shown in the appendix. Figure 12 shown. In the appendix Figure 12 the processing device 1200 in the first node includes a first receiver 1201 and a first transmitter 1202.

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

[0812] The first transmitter 1202, in response to detecting internal overheat, sends first auxiliary information, and the first auxiliary information includes overheat auxiliary information;

[0813] In Example 12, the overheat auxiliary information indicates at least the first type of measurement.

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

[0815] As an example, 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 example, the overheat auxiliary information indicates that at least the first type of measurement depends on the first node being biased to temporarily reduce the UE capabilities for at least the first type of measurement.

[0817] As an example, 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 the attached Figure 4 At least one of the antenna 452 or the receiver 454 or the multi-antenna receive processor 458 or the receive processor 456 or the controller / processor 459 or the memory 460 or the data source 467.

[0820] As an embodiment, the first receiver 1201 includes the attached Figure 4 At least an antenna 452 and a receiver 454.

[0821] As an embodiment, the first transmitter 1202 includes the attached Figure 4 At least one of the antenna 452 or the transmitter 454 or the multi-antenna transmit processor 457 or the transmit processor 468 or the controller / processor 459 or the memory 460 or the data source 467.

[0822] As an embodiment, the first transmitter 1202 includes the attached Figure 4 At least antenna 452 and transmitter 454.

[0823] Example 13

[0824] Embodiment 13 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Figure 13 As shown in the attached Figure 13 In the embodiment, 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 example, 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 example, the overheat auxiliary information indicates that at least the first type of measurement depends on the sender of the first auxiliary information being inclined to temporarily reduce the UE capabilities for at least the first type of measurement.

[0831] As an example, 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 example, the overheat auxiliary information indicates at least one of the number or type of intelligent models that the sender of the first auxiliary information is inclined to.

[0833] As an example, the second transmitter 1301 includes at least one of antenna 420 or transmitter 418 or multi-antenna transmission processor 471 or transmission processor 416 or controller / processor 475 or memory 476 attached to this application Figure 4

[0834] As an example, the second transmitter 1301 includes at least antenna 420 and transmitter 418 attached to this application Figure 4

[0835] As an example, the second receiver 1302 includes at least one of antenna 420 or receiver 418 or multi-antenna reception processor 472 or reception processor 470 or controller / processor 475 or memory 476 attached to this application Figure 4

[0836] As an example, the second receiver 1302 includes at least antenna 420 and receiver 418 attached to this application Figure 4

[0837] ​​​​Those of ordinary skill in the art can understand 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 disc, etc. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in a hardware form or in the form of a software function module. This application is not limited to any specific form of the combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, in-vehicle communication devices, wireless sensors, wireless network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, wireless network cards, in-vehicle communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B) NR Node B, TRP (Transmitter Receiver Point), and other wireless communication devices.

[0838] As mentioned above, the above are only the preferred embodiments of the present application and are not used to limit the protection scope of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A first node used for wireless communication, characterized in that, Comprising: A first receiver that receives a first RRC message, where the first RRC message configures the first type of measurement; A first transmitter that, in 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.

2. The first node according to claim 1, characterized in that, Comprising: The first receiver that, after the first auxiliary information is sent, receives first signaling; Wherein, the first signaling indicates an update of at least the first type of measurement.

3. The first node according to any one of claims 1 or 2, characterized in that, Comprising: The first transmitter that sends a second RRC message; Wherein, 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 overheating auxiliary information indicates that at least the first type of measurement depends on the first node being biased towards temporarily reducing the 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, wherein The overheating auxiliary information indicates at least one of the number or type of intelligent models that the first node is biased towards.

7. A second node used for wireless communication, characterized in that, Comprising: A second transmitter that sends a first RRC message, where the first RRC message configures a first type of measurement; A second receiver that receives first auxiliary information, where the first auxiliary information includes overheating auxiliary information; Wherein, in response to detecting internal overheating, the first auxiliary information is sent; the overheating auxiliary information indicates at least the first type of measurement.

8. A method used in a first node for wireless communication, characterized in that, Comprising: Receiving a first RRC message, where the first RRC message configures the first type of measurement; In response to detecting internal overheating, sending 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.

9. A method in a second node for use in wireless communication, characterized in that, Comprising: Sending a first RRC message, where the first RRC message configures a first type of measurement; Receiving first auxiliary information, where the first auxiliary information includes overheating auxiliary information; Wherein, in response to detecting internal overheating, the first auxiliary information is sent; the overheating auxiliary information indicates at least the first type of measurement.

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