A method and apparatus used in wireless communication

Abstract

The application discloses a method and device used in wireless communication. A first node receives a first RRC information block set, the first RRC information block set including a measurement configuration for AI and a first condition set; performs measurement for AI according to the measurement configuration, and stores the obtained measurement result into a first memory; triggers first reporting in response to any condition in the first condition set being met; wherein the first condition set includes that the remaining size of the first memory is equal to or less than a first threshold; the triggering of the first reporting includes generating a second RRC message and sending the second RRC message through a target SRB; when the measurement result is not included in the second RRC message, the target SRB is SRB1; when the measurement result is included in the second RRC message, the target SRB is a first SRB; the priority of the first SRB is lower than that of the SRB1. The application can effectively support sending the measurement result for AI through SRB.

Description

Technical Field

[0001] This application relates to methods and apparatus in wireless communication systems, and more particularly to methods and apparatus for reporting measurement information that supports AI (Artificial Intelligence) in wireless communication. Background Technology

[0002] The application scenarios of future wireless communication systems are becoming increasingly diversified, with different application scenarios placing different performance requirements on the system. To meet the diverse performance needs of various application scenarios, the 3GPP (3rd Generation Partner Project) RAN (Radio Access Network) #72 plenary meeting decided to research NR (New Radio) technology (or Fifth Generation, 5G). The NR Work Item (WI) was approved at the 3GPP RAN #75 plenary meeting, initiating standardization work for NR. Release 15 of the 5G system design already considered some major application scenarios. Subsequent versions will not only consider enhancements to the 5G system architecture but also further enhance vertical applications to provide more flexible service matching, more robust transmission, and a more consistent user experience. In NR Release 18, research on AI technology was initiated to explore its impact on system performance and system design. Compared to traditional processing methods, AI has characteristics such as being training-based and requiring deployment. Furthermore, AI is also a key candidate technology for future 6G communication. Summary of the Invention

[0003] The inventors discovered through research that AI models need to be trained before they can be deployed and applied. When model training occurs on the network side while data collection occurs on the UE (user equipment) side, the UE needs to report the collected data to the network. Since the collected training data is characterized by its large volume and insensitivity to transmission latency, how to store and report the training data collected by the UE requires further research.

[0004] To address the aforementioned issues, this application discloses a solution that enables data reporting via SRB (Signalling Radio Bearer); the triggering of the reporting can at least rely on the memory storing the collected training data. Where there is no conflict, the embodiments and features in the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. It should be noted that although many embodiments of this application are geared towards AI / ML, this application is also applicable to other solutions. Furthermore, although the initial purpose of this application is for reporting training data collected for AI model training, this application can also be used for reporting other data with the same characteristics. In addition, adopting a unified solution for different scenarios (including but not limited to reporting AI model training data) helps reduce hardware complexity and cost. In particular, the interpretation of terms, nouns, functions and variables in this application (unless otherwise specified) can be found in the definitions in the 3GPP specification protocols TS36, TS38 and TS37 series.

[0005] This application discloses a method used in a first node of wireless communication, characterized by comprising:

[0006] Receive a first set of RRC (Radio Resource Control) information blocks, the first set of RRC information blocks including measurement configuration for AI and a first set of conditions;

[0007] The measurement for AI is performed according to the measurement configuration for AI, and the obtained measurement results are stored in the first memory;

[0008] As a response to the fulfillment of any condition in the first set of conditions, the first report is triggered;

[0009] The measurement result includes at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first reporting includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of SRB1.

[0010] As an example, the measurement results for AI are obtained on the UE side and reported to the network.

[0011] As an example, the AI ​​includes at least one of AI or ML (Machine Learning).

[0012] As an example, the first report is triggered when the remaining size of the first memory is equal to or less than the first threshold.

[0013] As an example, the advantage of the above method is that it promptly reports to the network when the remaining size of the first memory is insufficient.

[0014] As an example, the advantage of the above method is that it avoids data loss caused by the inability to store the measurement results for the AI ​​due to insufficient remaining space in the first memory.

[0015] As an example, determining the SRB that caused the second RRC message based on the content of the second RRC message helps avoid sending high-priority content through a low-priority SRB, or vice versa, thereby optimizing signaling transmission and improving network performance.

[0016] As an example, the advantage of the above method is that it improves the flexibility of UE implementation.

[0017] As one example, the first node is a terminal.

[0018] According to one aspect of this application, the above method is characterized in that only the event measurement results are stored in the first memory;

[0019] Wherein, the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory is at least able to accommodate one of the event measurement results.

[0020] As an example, when the remaining size of the first memory is insufficient to store the event measurement results and the periodic measurement results, only the event measurement results are stored.

[0021] As an example, when the remaining size of the first memory is limited, the event measurement results are stored first, which can make more efficient use of the limited memory space, optimize the utilization of UE storage space, and help improve system performance.

[0022] According to one aspect of this application, the above method is characterized in that the first set of conditions includes the remaining power value of the first node being equal to or lower than a second threshold.

[0023] The determination of the remaining battery power of the first node depends on the implementation of the first node.

[0024] As an example, the first report is triggered when the remaining battery power of the first node is equal to or lower than the second threshold.

[0025] As a sub-implementation of the above embodiments, the advantage of the above method is that it reports in a timely manner when the remaining power value of the first node is equal to or lower than the second threshold, thus avoiding the situation where the remaining power value is too low to report.

[0026] According to one aspect of this application, the above method is characterized by comprising:

[0027] When the remaining battery power of the first node is equal to or lower than the second threshold, the measurement cycle of the AI ​​measurement is updated.

[0028] As an example, the advantage of the above method is that when the remaining power value of the first node is low, the measurement cycle of the AI ​​measurement is updated, which helps to save power.

[0029] According to one aspect of this application, the above method is characterized in that, when the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

[0030] According to one aspect of this application, the above method is characterized in that including the measurement result in the second RRC message includes setting a first field of the second RRC message to include at least one of the measurement results stored in a first UE variable;

[0031] The measurement results are stored in the first UE variable, and the first UE variable is stored in the first memory.

[0032] According to one aspect of this application, the above method is characterized in that the measurement result includes a reference signal index and an RSRP, or RSRQ, measured for a reference signal indicated by the reference signal index.

[0033] According to one aspect of this application, the above method is characterized in that the event measurement result includes the time of the event and the identifier of the cell where the event occurred;

[0034] The event includes at least one of beam failure or wireless link failure.

[0035] According to one aspect of this application, the above method is characterized in that the measurement results for AI include AI training data.

[0036] This application discloses a terminal, characterized in that it includes:

[0037] The terminal includes: one or more processors and memory;

[0038] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the terminal to execute the method described above in the first node.

[0039] As an example, the terminal is a UE (User Equipment).

[0040] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0041] Send a first set of RRC information blocks, the first set of RRC information blocks including measurement configuration for AI, and a first set of conditions;

[0042] According to the measurement configuration for AI, the measurement is performed and the obtained measurement results are stored in the first memory;

[0043] Receive the second RRC message;

[0044] The measurement results include at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; a first report is triggered as a response to any condition in the first condition set being met; the first report being triggered includes the generation of a second RRC message and the sending of the second RRC message through a target SRB; when the second RRC message does not include the measurement results, the target SRB is SRB1; when the second RRC message includes the measurement results, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0045] In one embodiment, the second node is a base station.

[0046] According to one aspect of this application, the above method is characterized in that only the event measurement results are stored in the first memory;

[0047] Wherein, the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one of the event measurement results.

[0048] According to one aspect of this application, the above method is characterized in that the first set of conditions includes the remaining power value of the first node being equal to or lower than a second threshold.

[0049] The determination of the remaining battery power of the first node depends on the implementation of the first node.

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

[0051] When the remaining battery power of the first node is equal to or lower than the second threshold, the measurement cycle for the AI ​​measurement is updated.

[0052] According to one aspect of this application, the above method is characterized in that, when the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

[0053] According to one aspect of this application, the above method is characterized in that the second RRC message includes the measurement result, wherein the first field of the second RRC message is set to include at least one of the measurement results stored in the first UE variable;

[0054] The measurement results are stored in the first UE variable, and the first UE variable is stored in the first memory.

[0055] According to one aspect of this application, the above method is characterized in that the measurement result includes a reference signal index and an RSRP (Reference Signal Received Power) or RSRQ (Reference Signal Received Quality) measured for the reference signal indicated by the reference signal index.

[0056] According to one aspect of this application, the above method is characterized in that the event measurement result includes the time of the event and the identifier of the cell where the event occurred;

[0057] The event includes at least one of beam failure or wireless link failure.

[0058] According to one aspect of this application, the above method is characterized in that the measurement results for AI include AI training data.

[0059] This application discloses a base station, characterized in that it includes:

[0060] The base station includes: one or more processors and a memory;

[0061] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the base station to perform the methods described above in the second node. Attached Figure Description

[0062] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0063] Figure 1 A transmission flowchart in a first node according to an embodiment of this application is illustrated;

[0064] Figure 2 A schematic diagram illustrating a network architecture according to an embodiment of this application is provided;

[0065] Figure 3 A schematic diagram illustrating a wireless protocol architecture for the user plane and control plane according to an embodiment of this application is provided.

[0066] Figure 4 A schematic diagram of the hardware module of a communication device according to an embodiment of this application is illustrated;

[0067] Figure 5 A flowchart illustrating a wireless signal transmission between a first node and a second node according to an embodiment of this application is provided.

[0068] Figure 6 A flowchart illustrating signal processing in a first node according to an embodiment of this application is provided;

[0069] Figure 7 A schematic diagram illustrating the storage of measurement results in the first memory of a first node according to an embodiment of this application is provided.

[0070] Figure 8 A schematic diagram illustrating the remaining power value of a first node and a second threshold according to an embodiment of this application is provided.

[0071] Figure 9 An example is provided for updating the measurement period of the first node for the AI ​​measurement according to one embodiment of this application;

[0072] Figure 10 A schematic diagram illustrating a second RRC message according to an embodiment of this application is shown;

[0073] Figure 11 Another schematic diagram illustrating a second RRC message according to an embodiment of this application is provided;

[0074] Figure 12 A schematic diagram illustrating a measurement result according to one embodiment of this application is provided;

[0075] Figure 13 A schematic diagram illustrating an event measurement result according to one embodiment of this application is provided;

[0076] Figure 14 A schematic diagram of an AI processing system according to an embodiment of this application is illustrated;

[0077] Figure 15 An example of an AI-based operation diagram according to an embodiment of this application is provided;

[0078] Figure 16 A structural block diagram of a processing apparatus in a first node according to an embodiment of this application is illustrated;

[0079] Figure 17 A structural block diagram of a processing apparatus in a second node according to an embodiment of this application is illustrated. Detailed Implementation

[0080] The technical solution of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0081] Example 1

[0082] Example 1 illustrates a transmission flowchart in a first node according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown.

[0083] In Embodiment 1, the first node 100 receives a first RRC information block set in step 101, the first RRC information block set including a measurement configuration for AI and a first condition set; in step 102, it performs a measurement for AI according to the measurement configuration for AI and stores the obtained measurement result in a first memory; in step 103, it triggers a first report as a response to any condition in the first condition set being met; wherein, the measurement result includes at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first report includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0084] As an example, the first set of RRC information blocks is a high-level message.

[0085] As an example, the first set of RRC information blocks is included in the system message.

[0086] As an example, the first RRC information block set is included in the SIB (System Information Block).

[0087] As an example, the first RRC information block set is included in SIB1 (System Information Block 1).

[0088] As an example, the first set of RRC information blocks is included in the NAS (Non-Access Stratum) message.

[0089] As an example, the first set of RRC information blocks is included in an RRC message.

[0090] As an example, the first set of RRC information blocks is included in multiple RRC messages.

[0091] As an example, the RRC message is DL (Downlink)-DCCH (Dedicated Control Channel)-Message.

[0092] As an example, the RRC message is RRCReconfiguration.

[0093] As an example, the RRC message is RRC Resume.

[0094] As an example, the first set of RRC information blocks is included in an RRC IE (Information Element).

[0095] As an example, the first set of RRC information blocks is included in multiple RRC IEs.

[0096] As an example, the measurement described for AI is AI-related.

[0097] As an example, the measurement results for AI are used on the network side.

[0098] As an example, the measurement results for AI are used to train the AI ​​model.

[0099] As an example, the measurement results for AI are used for AI performance monitoring.

[0100] As an example, the measurement results described above are used for AI inference (interface).

[0101] As an example, the measurement results obtained for AI are used in the beam management function.

[0102] As an example, the measurement results for AI are used in the CSI compression function.

[0103] As an example, the measurement results obtained for AI are used in the mobility management function.

[0104] As an example, the measurement results obtained for AI are used in the radio link monitoring function.

[0105] As an example, the reasoning is based on AI.

[0106] As an example, the reasoning includes prediction.

[0107] As an example, the reasoning is equivalent to the prediction.

[0108] As an example, the first RRC information block set is configured for the measurement of AI for the first node.

[0109] As an example, the measurement configuration for AI is for AI training data collection.

[0110] As an example, the measurement configuration for AI is for AI performance monitoring data collection.

[0111] As an example, the first RRC information block set includes the dedicated configuration for the measurement for AI.

[0112] As an example, the first RRC information block set includes the measurement configuration for AI.

[0113] As an example, the measurement configuration for AI includes at least one MeasConfig IE.

[0114] As an example, the measurement configuration for AI indicates synchronous measurement.

[0115] As an example, the measurement configuration for AI indicates inter-frequency measurement.

[0116] As an example, the measurement configuration for AI indicates the cell in which the measurement for AI is performed.

[0117] As an example, the measurement configuration for AI includes an identifier of the cell in which the measurement for AI is performed.

[0118] As one example, the cell in which the measurement for AI is performed includes the serving cell and neighboring cells of the first node.

[0119] As an example, the cell in which the measurement for AI is performed is the serving cell of the first node.

[0120] As an example, the cell in which the measurement for AI is performed is a neighboring cell of the first node.

[0121] As an example, the cell in which the measurement for AI is performed is a cell.

[0122] As an example, the cell in which the measurement for AI is performed is a plurality of cells.

[0123] As one example, the number of cells for which the measurement for AI is performed is configurable.

[0124] As an example, the identifier of the cell for which the measurement for AI is performed is the serving cell identifier.

[0125] As an example, the identifier of the cell for which the measurement for AI is performed is a physical cell identifier.

[0126] As an example, the measurement configuration for AI includes the measurement object for the measurement for AI.

[0127] As an example, the measurement configuration for AI includes a reference signal for the measurement for AI.

[0128] As an example, the measurement configuration for AI indicates at least one reference signal for the measurement for AI.

[0129] As an example, the reference signal belongs to the same cell in which the measurement for AI is performed.

[0130] As an example, the reference signal belongs to different plurality of cells for which the measurement for AI is performed.

[0131] As an example, the reference signal is a downlink reference signal.

[0132] As an example, the reference signal is an SSB (Synchronization Signal / PBCH Block) resource.

[0133] As an example, the reference signal is uniquely identified by an SSB-Index.

[0134] As an example, the reference signal is configured by ServingCellConfigCommon (Serving Cell Common Configuration) IE.

[0135] As an example, the reference signal is configured by ServingCellConfigCommonSIB (Serving Cell Common Configuration in SIB) IE.

[0136] As an example, the reference signal is CSI (Channel Status Information) - RS (Reference Signal).

[0137] As an example, the reference signal is uniquely identified by a CSI-RS-Index.

[0138] As an example, the reference signal is configured with CSI-RS-Resource-Mobility.

[0139] As an example, the reference signal is NZP (Non-Zero-Power)-CSI-RS.

[0140] As an example, the reference signal is uniquely identified by an NZP-CSI-RS-ResourceId (NZP-CSI-RS resource identifier).

[0141] As an example, the reference signal is configured by NZP-CSI-RS-Resource (NZP-CSI-RS Resource) IE.

[0142] As an example, the measurement configuration for AI includes a reference signal index for the reference signal used in the measurement for AI.

[0143] As an example, the reference signal index is the SSB-Index.

[0144] As an example, the reference signal index is the CSI-RS-Index.

[0145] As an example, the reference signal index is the NZP-CSI-RS-ResourceId.

[0146] As an example, the measurement configuration for AI includes the reference signal index.

[0147] As an example, the measurement configuration for AI includes a ReferenceSignal field that indicates the reference signal for the measurement for AI.

[0148] As an example, the measurement configuration for AI includes a ReferenceSignalConfig field, which indicates the reference signal for the measurement for AI.

[0149] As an example, one of the reference signals is indicated by SSB-ConfigMobility (SSB configuration for mobility).

[0150] As an example, one of the reference signals is indicated by CSI-RS-ResourceConfigMobility (CSI-RS resource configuration for mobility) IE.

[0151] As an example, performing the measurement for AI according to the measurement configuration for AI includes measuring the reference signal.

[0152] As an example, performing the measurement for AI according to the measurement configuration for AI includes performing the measurement for AI with respect to the reference signal.

[0153] As an example, performing the measurement for AI according to the measurement configuration for AI includes performing an RSRP measurement for the reference signal.

[0154] As an example, performing the measurement for AI according to the measurement configuration for AI includes performing an RSRQ measurement for the reference signal.

[0155] As an example, the reference signal is measured during the measurement gap.

[0156] As an example, the measurement gap is configured by MeasGapConfig.

[0157] As an example, the measurement gap is identified by MeasGapId (measurement gap identifier).

[0158] As an example, the measurement configuration for AI includes the measurement gap for the measurement for AI.

[0159] As an example, the measurement configuration for AI includes the reporting configuration for the measurement for AI.

[0160] As an example, the reporting configuration for the measurement of AI indicates the reporting type.

[0161] As one example, the reporting type includes event-triggered.

[0162] As one example, the reporting type includes periodic.

[0163] As an example, the reporting configuration for the measurement of AI indicates the conditions for the event to be triggered.

[0164] As an example, the measurement configuration for AI includes at least one MeasId (measurement identifier).

[0165] As an example, one MeadId is associated with one MeasObjectId (measuring object identifier).

[0166] As an example, a MeasObjectId uniquely identifies a measurement object for the measurement configuration of AI.

[0167] As an example, one MeadId is associated with one ReportConfigId (reporting configuration identifier).

[0168] As an example, a ReportConfigId uniquely identifies a reporting configuration for the measurement of AI.

[0169] As an example, the MeadId, the MeasObjectId, and the ReportConfigId are associated with each other by the measurement configuration indication for AI.

[0170] As an example, the first memory is associated with at least one of the MeasId.

[0171] As one embodiment, the first memory is RAM.

[0172] As one embodiment, the first memory is a buffer.

[0173] As one example, the first memory is a register.

[0174] As an example, the first memory is an AS (Access-stratum) memory.

[0175] As one embodiment, the first memory is an AS cache (buffer).

[0176] As an example, the first memory is implemented in software.

[0177] As one example, the first memory is implemented in hardware.

[0178] As one embodiment, the first memory is readable and writable.

[0179] As one embodiment, the first memory is erasable.

[0180] As one embodiment, the first memory is used to store at least one of training data or inference data.

[0181] As an example, the first memory is used to store at least one of the training data or inference data for the network-side model.

[0182] As one embodiment, the first memory is for application layer data storage.

[0183] As one embodiment, the first memory is used for application layer data reporting.

[0184] As one embodiment, the first memory is used to store the measurement results for the purpose of AI.

[0185] As an example, the measurement results obtained for the purpose of AI are stored in the first memory.

[0186] As an example, the measurement results are filtered.

[0187] As an example, the measurement results are filtered using L1 (layer 1).

[0188] As an example, the measurement results are filtered using L3 (layer 3).

[0189] As an example, the measurement results are subjected to L3 beam filtering.

[0190] As an example, the measurement results include results for the cell to which the measurement for AI was performed.

[0191] As an example, the measurement results include results for each of the reference signals.

[0192] As an example, the measurement results for AI include at least one periodic measurement result.

[0193] As an example, the measurement results for AI include at least one event measurement result.

[0194] As one embodiment, the first set of information blocks indicates the event.

[0195] As one embodiment, the first set of information blocks indicates the conditions that trigger the event.

[0196] As an example, the measurement results for AI are stored in the first memory in the order they were obtained.

[0197] As an example, the measurement results for AI are stored in the first memory according to priority.

[0198] As an example, the measurement results for AI are stored in the first memory according to their importance.

[0199] As an example, the first RRC information block set includes the first condition set.

[0200] As an example, the first RRC information block set indicates the first condition set.

[0201] As an example, the first RRC information block set indicates at least one condition in the first condition set.

[0202] As an example, one of the conditions in the first set of conditions is that the remaining size of the first memory is equal to or less than the first threshold.

[0203] As one embodiment, the first node monitors the remaining size of the first memory.

[0204] As one embodiment, the determination of the remaining size of the first memory depends on the implementation of the first node.

[0205] As an example, the unit of the remaining size of the first memory is bytes.

[0206] As an example, the unit of the remaining size of the first memory is bits.

[0207] As an example, the first threshold is configured.

[0208] As an example, the first set of RRC information blocks indicates the first threshold.

[0209] As an example, the first threshold is predefined.

[0210] As an example, the first threshold is 0.

[0211] As an example, the first threshold is a value greater than 0.

[0212] As an example, the first threshold is an absolute value.

[0213] As an example, the first threshold is the memory size occupied by storing an event measurement result for AI purposes.

[0214] As an example, the first threshold is the number of bytes required to store a measurement result of the event.

[0215] As an example, the first threshold is the number of bits required to store a measurement result of the event.

[0216] As one embodiment, the remaining size of the first memory being equal to or less than the first threshold includes: the quotient of the remaining size of the first memory divided by the size of the first memory being equal to or less than the first threshold.

[0217] As one embodiment, the remaining size of the first memory being equal to or less than the first threshold includes: the ratio of the remaining size of the first memory to the total size being equal to or less than the first threshold.

[0218] As an example, one of the conditions in the first set of conditions is that the remaining power value of the first node is equal to or lower than the second threshold.

[0219] As an example, the first node monitors the remaining battery power.

[0220] As an example, the determination of the remaining battery power of the first node depends on the implementation of the first node.

[0221] As an example, the second threshold is a percentage.

[0222] As one example, the second threshold is a power level.

[0223] As one example, the second threshold is determined by the first node itself.

[0224] As one example, the second threshold depends on the implementation of the first node.

[0225] As an example, the second threshold is predefined.

[0226] As an example, the second threshold is configured.

[0227] As an example, the first set of RRC information blocks indicates the second threshold.

[0228] As an example, one of the conditions in the first set of conditions is that the first node detects overheating.

[0229] As one embodiment, the first node detecting overheating includes detecting internal overheating.

[0230] As one example, the first node detecting overheating includes experiencing internal overheating.

[0231] As one embodiment, the first node detecting overheating includes detecting that its own temperature is too high.

[0232] As one embodiment, the first node detecting overheating includes: at least one overheating condition being detected.

[0233] As one embodiment, the first node detecting overheating includes: an overheating condition being detected.

[0234] As an example, the overheating conditions are configured.

[0235] As an example, the overheating conditions are predefined.

[0236] As one example, the overheating condition depends on the first node.

[0237] As an example, satisfying any condition in the first set of conditions includes satisfying at least one condition included in the first set of conditions.

[0238] As an example, satisfying any condition in the first set of conditions includes satisfying one of all the conditions included in the first set of conditions.

[0239] As an example, satisfying any condition in the first set of conditions includes: the remaining size of the first memory is equal to or less than the first threshold.

[0240] As an example, satisfying any condition in the first set of conditions includes: the remaining power value of the first node is equal to or lower than the second threshold.

[0241] As an example, any condition in the first set of conditions being satisfied includes: the first node detecting overheating.

[0242] As an example, in response to any condition in the first set of conditions being met, the measurement for AI is stopped.

[0243] As an example, the measurement for AI is stopped when the remaining size of the first memory is equal to or less than the first threshold.

[0244] As a sub-implementation of the above embodiments, the advantage of the above method is that: when the size of the first memory is insufficient, the measurement result cannot be stored, and stopping the measurement for AI can avoid invalid measurements.

[0245] As an example, when the remaining battery power of the first node is equal to or lower than the second threshold, the measurement for AI is stopped.

[0246] As a sub-implementation of the above embodiments, the advantage of the above method is that it reduces power consumption and helps save electricity.

[0247] As an example, when the first node detects overheating, the measurement for AI is stopped.

[0248] As a sub-implementation of the above embodiments, the advantages of the above method are: reducing power consumption and alleviating the problem of terminal overheating.

[0249] As an example, when the first node detects overheating, it triggers the first report.

[0250] As a sub-example of the above embodiments, the otherConfig received by the first node includes overheatingAssistanceConfig.

[0251] As a sub-implementation of the above embodiments, the advantage of the above method is that: by indicating overheating auxiliary information to the network through the first report, the terminal overheating problem can be alleviated.

[0252] As an example, the first report is triggered in response to any condition in the first set of conditions being met.

[0253] As one example, triggering the first report includes: generating the second RRC message.

[0254] As one embodiment, the first node includes a first transmitter that generates the second RRC message.

[0255] As an example, the second RRC message is UEAssistanceInformation.

[0256] As an example, the second RRC message is UEInformationResponse.

[0257] As an example, the second RRC message is requested by the network.

[0258] As an example, the first node receives a UEInformationRequest message; in response to receiving the UEInformationRequest, the first reporting is triggered.

[0259] As an example, the UEInformationRequest message at least requests the measurement results for AI.

[0260] As an example, the second RRC message includes the measurement results for AI.

[0261] As an example, the second RRC message includes MeasResultsAI (AI measurement results).

[0262] As an example, the second RRC message does not include the measurement results for AI.

[0263] As an example, when the measurement result is not included in the second RRC message, the second RRC message is the UEAssistanceInformation message.

[0264] As one example, whether the second RRC message includes the measurement result depends on the uplink grant (ULgrant).

[0265] As one embodiment, the first node receives a first signaling message indicating the uplink grant.

[0266] As an example, if the uplink grant can accommodate the measurement result, the second RRC message includes the measurement result for AI; if the uplink grant cannot accommodate the measurement result, the second RRC message does not include the measurement result for AI.

[0267] As a sub-implementation of the above embodiments, when any condition in the first set of conditions is met and the uplink grant can accommodate the measurement result, the second RRC message includes the measurement result for AI.

[0268] As one embodiment, the uplink grant being able to accommodate the measurement results includes: the uplink grant being able to accommodate all measurement results obtained for the AI.

[0269] As one embodiment, the uplink grant being able to accommodate the measurement results includes: the uplink grant being able to accommodate all event measurement results obtained for the measurement of AI.

[0270] As an example, if the uplink grant can accommodate the measurement result, the second RRC message does not indicate that the measurement result is available; if the uplink grant cannot accommodate the measurement result, the second RRC message indicates that the measurement result is available.

[0271] As an example, when the uplink grant can accommodate the measurement result, the measurement result for AI is included in the second RRC message; when the uplink grant cannot accommodate the measurement result, the second RRC message is used only to indicate that the measurement result is available and the network is waiting to indicate a new uplink grant.

[0272] As an example, the above method has advantages in terms of saving signaling overhead compared to the method of indicating the availability of the measurement results through the second RRC message and waiting for network requests before reporting the measurement results for AI, regardless of whether the uplink grant can accommodate the measurement results.

[0273] As an example, if the UEInformationRequest is received while any condition in the first set of conditions is met, the second RRC message includes the measurement result for AI.

[0274] As a sub-implementation of the above embodiment, the second RRC message is the UEInformationResponse message.

[0275] As one embodiment, the second RRC message includes overheating auxiliary information.

[0276] As a sub-implementation of the above embodiment, the second RRC message is the UEAssistanceInformation message.

[0277] As a sub-implementation of the above embodiments, the conditions for satisfying the first set of conditions include at least the first node detecting overheating.

[0278] As an example, the overheating assistance information is OverheatingAssistance (IE).

[0279] As one embodiment, the overheating assistance information includes all or part of the fields in the OverheatingAssistance IE.

[0280] As one embodiment, the overheating assistance information includes the first node's preference for reduced configuration.

[0281] As an example, the second RRC message includes the reason that triggered the first report.

[0282] As an example, the reason that triggers the first report includes low memory.

[0283] As an example, the first node is out of memory when the remaining size of the first memory is equal to or less than the first threshold.

[0284] As an example, the reason that triggers the first report includes a low power state.

[0285] As an example, when the remaining power value of the first node is equal to or lower than the second threshold, the first node is in a low power state.

[0286] As an example, the reason that triggers the first report includes the detection of overheating.

[0287] As an example, the reason that triggers the first report corresponds one-to-one with the conditions in the first set of conditions.

[0288] As an example, triggering the first report includes sending the second RRC message through the target SRB.

[0289] As an example, the first transmitter sends the second RRC message through the target SRB.

[0290] As an example, the target SRB is network-configured.

[0291] As an example, the target SRB is configured after AS security is activated.

[0292] As an example, the target SRB is the default.

[0293] As an example, the determination of the target SRB depends on the second RRC message.

[0294] As an example, the target SRB is used for the transmission of RRC layer messages or NAS messages.

[0295] As an example, the target SRB is one of the first SRB and the SRB1.

[0296] As an example, the target SRB is determined based on whether the measurement result is included in the second RRC message.

[0297] As an example, the target SRB is SRB1; wherein the measurement result is not included in the second RRC message.

[0298] As an example, the target SRB is the first SRB; wherein the second RRC message includes the measurement result.

[0299] As an example, the identifier of the first SRB is x, or the first SRB is SRBx; wherein x is 4, or a positive integer greater than 4.

[0300] As an example, the first SRB is SRB4.

[0301] As an example, the first SRB is SRB5.

[0302] As an example, the priority of the first SRB is configured.

[0303] As an example, the priority of the first SRB is predefined.

[0304] As an example, the priority of the first SRB is the default.

[0305] As an example, the priority of the first SRB is lower than that of the SRB1.

[0306] As an example, the priority of an SRB is the priority of the logical channel serving the SRB.

[0307] As an example, the priority of an SRB is used for resource allocation in the LCP (Logical Channel Prioritization) process, and the SRB is the first SRB, or SRB1.

[0308] Specifically, the higher the priority value of a logical channel, the lower the priority of that logical channel.

[0309] Specifically, the priority value of a logical channel is an integer between 1 and 16, including 1 and 16.

[0310] As an example, the priority value of SRB1 is 1, and the priority value of the first SRB is greater than 1.

[0311] Example 2

[0312] Example 2 illustrates a network architecture diagram according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown. Figure 2This diagram illustrates the network architecture 200 of NR 5G, LTE (Long-Term Evolution), and LTE-A (Long-Term Evolution Advanced) systems. The NR 5G, LTE, or LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable term. 5GS / EPS 200 may include one or more UE (User Equipment) 201, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. 5GS / EPS can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown in the figure, 5GS / EPS provides packet switching services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. NG-RAN includes NR Node B (gNB) 203 and other gNBs 204. gNB 203 provides user and control plane protocol termination toward UE 201. gNB 203 can connect to other gNBs 204 via an Xn interface (e.g., a backhaul link). The XnAP protocol of the Xn interface is used to transmit control plane messages for the radio network, and the user plane protocol of the Xn interface is used to transmit user plane data. gNB 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, Basic Service Set (BSS), Extended Service Set (ESS), TRP (Transmission Reception Point), or some other suitable term. In NTN (Non-Terrestrial Network) networks, gNB 203 can be a satellite, an aircraft, or a ground base station relayed via satellite. gNB203 provides UE201 with an access point to 5GC / EPC210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, in-vehicle equipment, in-vehicle communication units, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. gNB203 connects to 5GC / EPC210 via the S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF 213. MME / AMF / SMF 211 is the control node handling signaling between UE201 and 5GC / EPC210. ​​Generally, MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF 212, which is itself connected to P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF213 connects to Internet service 230. Internet service 230 includes carrier-compliant Internet protocol services, specifically including Internet, intranet, IMS (IP Multimedia Subsystem), and PS (Packet Switching) streaming services.

[0313] As an example, UE201 corresponds to the first node in this application.

[0314] As an example, gNB203 corresponds to the second node in this application.

[0315] As an example, the UE201 is a user equipment.

[0316] As an example, the gNB203 is a macrocell base station.

[0317] As an example, the gNB203 is a microcell base station.

[0318] As an example, the gNB203 is a pico cell base station.

[0319] As an example, the gNB203 is a femtocell.

[0320] As an example, the gNB203 is a base station device that supports large latency differences.

[0321] As one example, the gNB203 is a flight platform device.

[0322] As an example, the gNB203 is a satellite device.

[0323] As an example, the gNB203 is a base station device that supports large latency differences.

[0324] As one embodiment, the gNB203 is a test device (e.g., a transceiver device simulating part of the functions of a base station, a signaling tester).

[0325] As an example, the radio link from the UE201 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0326] As an example, the wireless link from the UE241 to the gNB203 is an uplink, which is used to perform uplink transmissions.

[0327] As an example, the radio link from the gNB203 to the UE201 is a downlink, which is used to perform downlink transmissions.

[0328] As an example, the radio link from the gNB203 to the UE241 is a downlink, which is used to perform downlink transmissions.

[0329] As an example, the UE201 and the gNB203 are connected via the Uu air interface.

[0330] As an example, the first set of RRC information blocks is generated by the gNB203.

[0331] As an example, the second RRC message is generated in UE201.

[0332] As an example, the first memory is located in the UE201.

[0333] Example 3

[0334] Example 3 illustrates a schematic diagram of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in the attached diagram. Figure 3 As shown. Figure 3 This is a schematic diagram illustrating an embodiment of a wireless protocol architecture for the user plane 350 and the control plane 300. Figure 3The radio protocol architecture of the UE and gNB control plane 300 is illustrated using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. L1 layer will be referred to as PHY301 in this document. Layer 2 (L2 layer) 305 sits above PHY301 and is responsible for the link between the UE and gNB through PHY301. L2 layer 305 includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the gNB on the network side. The PDCP sublayer 304 provides data encryption and integrity protection, and also provides cross-cell mobility support for the UE between gNBs. RLC sublayer 303 provides packet segmentation and reassembly, and implements retransmission of lost packets through ARQ (Automatic Repeat Request). RLC sublayer 303 also provides duplicate packet detection and protocol error detection. MAC sublayer 302 provides mapping between logical channels and transport channels, and multiplexing of logical channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among UEs. MAC sublayer 302 is also responsible for HARQ (Hybrid Automatic Repeat Request) operations. RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the gNB and the UE. The radio protocol architecture of user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). The radio protocol architecture in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for physical layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355, and MAC sublayer 352 in L2 layer 355. However, PDCP sublayer 354 also provides header compression for upper layer packets to reduce radio transmission overhead. L2 layer 355 in user plane 350 also includes SDAP (Service Data Adaptation Protocol) sublayer 356. SDAP sublayer 356 is responsible for mapping between QoS streams and data radio bearers to support service diversity.The UE's radio protocol architecture in the user plane 350 may include some or all of the protocol sublayers of SDAP sublayer 356, PDCP sublayer 354, RLC sublayer 353, and MAC sublayer 352 at the L2 layer. Although not illustrated, the UE may also have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., remote UE, server, etc.).

[0335] As an example, the PDCP sublayer 304 sends data to or receives data from the RLC sublayer 303 via the RLC channel.

[0336] As an example, the PDCP sublayer 354 sends data to or receives data from the RLC sublayer 353 via the RLC channel.

[0337] As an example, the RLC sublayer 303 sends data to or receives data from the MAC sublayer 302 via a logical channel.

[0338] As an example, the RLC sublayer 353 sends data to or receives data from the MAC sublayer 352 via a logical channel.

[0339] As one embodiment, the MAC sublayer 302 sends data to or receives data from the PHY 301 through the transmission channel.

[0340] As one embodiment, the MAC sublayer 352 sends data to or receives data from the PHY 351 via the transmission channel.

[0341] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the first node in this application.

[0342] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the second node in this application.

[0343] As an example, the first RRC information block set in this application is generated in the RRC sublayer 306.

[0344] As an example, the second RRC message in this application is generated in the RRC sublayer 306.

[0345] As an example, the L2 layer 305 or 355 belongs to a higher layer.

[0346] As an example, the RRC sublayer 306 in the L3 layer belongs to a higher layer.

[0347] Example 4

[0348] Example 4 illustrates a hardware module schematic diagram of a communication device according to an embodiment of this application, as shown in the attached diagram. Figure 4 As shown. Figure 4 This is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in the access network.

[0349] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0350] The second communication device 410 includes a controller / processor 475, a memory 476, a data source 477, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0351] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper-layer data packets from the core network or from the data source 477 are provided to the controller / processor 475. The core network and data source 477 represent all protocol layers above the L2 layer. The controller / processor 475 implements the functionality of the L2 layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation for the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for retransmitting lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). Transmit processor 416 performs encoding and interleaving to facilitate FEC (Forward Error Correction) at the second communication device 410, and mapping of signal clusters based on various modulation schemes (e.g., BPSK (Binary Phase Shift Keying), QPSK (Quadrature Phase Shift Keying), M-PSK (M-Phase Shift Keying), M-QAM (M-Quadrature Amplitude Modulation)). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more spatial streams. Transmit processor 416 then maps each spatial stream to subcarriers, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domains, and subsequently uses IFFT (Inverse Fast Fourier Transform) to generate a physical channel carrying the time-domain multicarrier symbol stream. Multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmitter processor 471 into an radio frequency stream, which is then provided to different antennas 420.

[0352] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses FFT (Fast Fourier Transform) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any spatial stream destined for the first communication device 450. Symbols on each spatial stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted by the second communication device 410 over the physical channel. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2. The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transport and logical channels to recover higher-layer data packets from the second communication device 410. The upper-layer data packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 for Layer 3 processing.

[0353] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, upper-layer data packets are provided to the controller / processor 459 using a data source 467. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between the logical and transport channels, implementing L2 layer functions for the user plane and control plane. The controller / processor 459 is also responsible for retransmitting lost packets and signaling to the second communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0354] In the transmission from the first communication device 450 to the second communication device 410, the function at the second communication device 410 is similar to the receiving function at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer function. The controller / processor 475 implements the L2 layer function. The controller / processor 475 may be associated with a memory 476 storing program code and data. The memory 476 may be referred to as computer-readable media. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides multiplexing between the transmission and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper-layer data packets from the first communication device 450. Upper-layer data packets from the controller / processor 475 can be provided to the core network or all protocol layers above the L2 layer, and various control signals can also be provided to the core network or L3 for L3 processing.

[0355] As one embodiment, the first communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor, and the first communication device 450 at least: receives a first set of RRC information blocks, the first set of RRC information blocks including a measurement configuration for AI and a first set of conditions; performs a measurement for AI according to the measurement configuration for AI, and stores the obtained measurement result in the first memory; triggers a first report as a response to any condition in the first set of conditions being met; wherein the measurement result includes at least one of periodic measurement results and event measurement results; the first set of conditions includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first report includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0356] As one embodiment, the first communication device 450 includes: a memory storing a computer-readable instruction program that generates an action when executed by at least one processor, the action including: receiving a first set of RRC information blocks, the first set of RRC information blocks including a measurement configuration for AI and a first set of conditions; performing a measurement for AI according to the measurement configuration for AI and storing the obtained measurement result in the first memory; triggering a first report as a response to any condition in the first set of conditions being met; wherein the measurement result includes at least one of periodic measurement results and event measurement results; the first set of conditions includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first report includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0357] As one embodiment, the second communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 410 at least: transmits a first set of RRC information blocks, the first set of RRC information blocks including a measurement configuration for AI and a first set of conditions; performs a measurement for AI according to the measurement configuration for AI, and stores the obtained measurement result in the first memory; receives a second RRC message; wherein the measurement result includes at least one of periodic measurement results and event measurement results; the first set of conditions includes the remaining size of the first memory being equal to or less than a first threshold; as a response to any condition in the first set of conditions being met, a first report is triggered; the first report being triggered includes the generation of the second RRC message and the transmission of the second RRC message via a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of SRB1.

[0358] As one embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program that generates actions when executed by at least one processor, the actions including: sending a first set of RRC information blocks, the first set of RRC information blocks including a measurement configuration for AI and a first set of conditions; performing a measurement for AI according to the measurement configuration for AI, and storing the obtained measurement result in the first memory; receiving a second RRC message; wherein the measurement result includes at least one of periodic measurement results and event measurement results; the first set of conditions includes the remaining size of the first memory being equal to or less than a first threshold; a first report being triggered as a response to any condition in the first set of conditions being met; the first report being triggered includes the generation of the second RRC message and the sending of the second RRC message via a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0359] As an example, the first communication device 450 corresponds to the first node in this application.

[0360] As an example, the second communication device 410 corresponds to the second node in this application.

[0361] As an example, the first communication device 450 is a user equipment.

[0362] As an example, the first communication device 450 is a Layer 3 relay node.

[0363] As an example, the first communication device 450 is an RSU (Road Side Unit).

[0364] As one embodiment, the second communication device 410 is a base station.

[0365] As one embodiment, the second communication device 410 is a base station distribution unit.

[0366] As one embodiment, the second communication device 410 is a piece of code in the distribution unit of a base station.

[0367] As one embodiment, at least one of the antenna 420, the transmitter 418, the multi-antenna transmitter processor 471, the transmitter processor 416, or the controller / processor 475 is used to transmit the first RRC information block set in this application.

[0368] As one embodiment, at least one of the antenna 452, the receiver 454, the multi-antenna receiving processor 458, the receiving processor 456, or the controller / processor 459 is used to receive the first RRC information block set in this application.

[0369] As an example, at least one of the antenna 452, the transmitter 454, the multi-antenna transmitter processor 457, the transmitter processor 468, or the controller / processor 459 is used to transmit the second RRC message in this application.

[0370] As an example, at least one of the antenna 420, the receiver 418, the multi-antenna receiving processor 472, the receiving processor 470, or the controller / processor 475 is used to receive the second RRC message in this application.

[0371] As one embodiment, the memory 460 includes the first memory of this application.

[0372] As one embodiment, the memory 460 is used to store the measurement results for AI purposes in this application.

[0373] Example 5

[0374] Example 5 illustrates a wireless signal transmission flowchart between a first node and a second node according to an embodiment of this application, as shown in the attached diagram. Figure 5 As shown. In the appendix Figure 5 In this example, the first node N51 and the second node N52 communicate via an air interface. It should be noted that the order in this example does not limit the signal transmission order or the order of implementation in this application.

[0375] for First node N51 In step S511, a first set of RRC information blocks is received; in step S512, a second RRC message is generated and sent through the target SRB.

[0376] for Second node N52 In step S521, a first set of RRC information blocks is sent; in step S522, a second RRC message is received.

[0377] In Embodiment 5, the first node receives a first set of RRC information blocks, which includes a measurement configuration for AI and a first set of conditions; performs a measurement for AI according to the measurement configuration for AI, and stores the obtained measurement results in a first memory; as a response to any condition in the first set of conditions being met, a first report is triggered; wherein, the measurement results include at least one of periodic measurement results and event measurement results; the first set of conditions includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first report includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement results, the target SRB is SRB1; when the second RRC message includes the measurement results, the target SRB is a first SRB; the priority of the first SRB is lower than the priority of SRB1.

[0378] Example 5 applies to scenarios where the second RRC message does not include the measurement result.

[0379] Example 5 applies to scenarios where the second RRC message includes the measurement result.

[0380] As an example, the air interface is a Uu interface.

[0381] As an example, the first node N51 is a UE.

[0382] As an example, the first node N51 is a terminal.

[0383] As an example, the first node N51 is the first node in this application.

[0384] In one embodiment, the second node N52 is a base station.

[0385] As one embodiment, the second node N52 is the sustaining base station for the serving cell of the first node N51.

[0386] As an example, the second node N52 is the TRP (Transmit / Receive Point) of the serving cell of the first node N51.

[0387] As one embodiment, the second node N52 is the sustaining base station of the master cell group (MCG) of the first node N51.

[0388] As one embodiment, the second node N52 is the sustaining base station of the secondary cell group (SCG) of the first node N51.

[0389] As an example, the second node N52 is MgNB (primary gNB).

[0390] As an example, the second node N52 is SgNB (auxiliary gNB).

[0391] As an example, the second node N52 is the second node in this application.

[0392] As an example, the first node N51 receives the first RRC information block set through the air interface.

[0393] As an example, the first node N51 sends the second RRC signaling through the air interface via the target SRB.

[0394] As an example, the identifier of the first SRB is 4, or a positive integer greater than 4.

[0395] As a sub-implementation of the above embodiment, when the identifier of the first SRB is 4, the first SRB is configured by MN (MasterNode) for MCG.

[0396] As a sub-implementation of the above embodiment, when the identifier of the first SRB is 5, the first SRB is configured by the SN (SecondaryNode) for use in the SCG.

[0397] As a sub-implementation of the above embodiments, when the identifier of the first SRB is a positive integer greater than 5, the first SRB is configured by MN and used for MCG, or the first SRB is configured by SN and used for SCG.

[0398] As a sub-implementation of the above embodiments, the identifier of the first SRB is no greater than 32.

[0399] As an example, when the identifier of the first SRB is 5, the first SRB is applied to an RRC message that includes application layer measurement report information and an RRC message that includes measurement report information for AI.

[0400] As an example, when the identifier of the first SRB is a positive integer greater than 5, the first SRB is applied to an RRC message that includes measurement report information for AI.

[0401] Example 6

[0402] Example 6 illustrates a signal processing flowchart in a first node according to an embodiment of this application, as shown in the attached diagram. Figure 6 As shown.

[0403] In Example 6, for the first node N600, a second RRC message is generated in step S601; in step S602, it is determined whether the second RRC message includes the measurement result. If yes, step S603 is executed; if no, step S604 is executed; in step S603, the target SRB is the first SRB; in step S604, the target SRB is the first SRB; in step S605, the second RRC message is sent through the target SRB.

[0404] Example 7

[0405] Example 7 illustrates a schematic diagram of a first memory storing measurement results in a first node according to an embodiment of this application, as shown in the attached diagram. Figure 7 As shown. In the appendix Figure 7 In the first node N700, there is a first memory N701; in the first memory N701, the unfilled area represents the available remaining size, and the grid-filled area represents the unavailable or occupied size.

[0406] As an example, the first node N700 is the first node in this application.

[0407] As an example, the first memory N701 is the first memory in this application.

[0408] As one embodiment, the first memory N701 is located in the attached Figure 4The memory 460 in it.

[0409] As an example, the measurement results for AI are stored in the first memory.

[0410] As an example, the measurement results for AI stored in the first memory include at least the former of the event measurement results and the periodic measurement results.

[0411] As an example, at least the event measurement results are stored in the first memory.

[0412] As an example, only the event measurement results are stored in the first memory.

[0413] As a sub-implementation of the above embodiment, the remaining size of the first memory is less than the first threshold.

[0414] As a sub-example of the above embodiment, the remaining size of the first memory is equal to the first threshold.

[0415] As a sub-implementation of the above embodiment, the remaining size of the first memory can accommodate at least one of the event measurement results.

[0416] As an example, when the remaining size of the first memory is equal to or less than the first threshold and can accommodate at least one of the event measurement results, at least one of the event measurement results is stored in the first memory.

[0417] As an example, when the remaining size of the first memory is equal to or less than the first threshold, or when the remaining size of the first memory can accommodate at least one of the event measurement results, at least one of the event measurement results is stored in the first memory.

[0418] As an example, it is preferable to store the event measurement results in the first memory.

[0419] As an example, the periodic measurement results are considered for storage in the first memory only after all the event measurement results have been stored in the first memory.

[0420] As an example, the event measurement results are stored with a higher priority than the periodic measurement results.

[0421] As an example, the measurement results stored in the first memory include the periodic measurement results.

[0422] As an example, when the remaining size of the first memory after storing all of the event measurement results is sufficient to accommodate at least one of the periodic measurement results, at least one of the periodic measurement results is stored in the first memory.

[0423] As an example, when the remaining size of the first memory after storing all the event measurement results is greater than a third threshold, at least one of the periodic measurement results is stored in the first memory.

[0424] As an example, the third threshold is configured.

[0425] As an example, the third threshold is pre-configured.

[0426] As an example, the third threshold is predefined.

[0427] As an example, the third threshold depends on the periodic measurement results.

[0428] As an example, the third threshold is the number of bytes included in the periodic measurement result.

[0429] As an example, the third threshold is the number of bits included in the periodic measurement result.

[0430] As an example, when the remaining size of the first memory after storing all the event measurement results is greater than the third threshold and can accommodate at least one of the periodic measurement results, at least one of the periodic measurement results is stored in the first memory.

[0431] As one embodiment, storing a measurement result in the first memory includes: storing a measurement result in the first UE variable, wherein the first UE variable is stored in the first memory.

[0432] As a sub-example of the above embodiments, a measurement result is the event measurement result.

[0433] As a sub-example of the above embodiments, a measurement result is the periodic measurement result.

[0434] Example 8

[0435] Example 8 illustrates a schematic diagram of the remaining power value and a second threshold of a first node according to an embodiment of this application, as shown in the attached diagram. Figure 8 As shown.

[0436] In the appendix Figure 8In case A, the remaining power value of the first node is equal to the second threshold.

[0437] In the appendix Figure 8 In case B, the remaining power value of the first node is lower than the second threshold.

[0438] In Example 8, the first set of conditions includes the remaining power value of the first node being equal to or lower than a second threshold; wherein the determination of the remaining power value of the first node depends on the implementation of the first node.

[0439] As an example, the remaining power value of the first node being equal to or lower than the second threshold includes: the remaining power value of the first node being a percentage of the total power of the first node being x%, and the second threshold being y%, where x is less than or lower than y; wherein both x and y are greater than or equal to 0.

[0440] As an example, the remaining power value of the first node being equal to or lower than the second threshold includes: the remaining power value of the first node being a first power level, the second threshold being a second power level, the first power level and the second power level being the same, or the first power level being lower than the second power level.

[0441] As an example, the measurement configuration for AI indicates that the first report is triggered when the battery is low.

[0442] As an example, when the first node detects insufficient power, it triggers the first report.

[0443] As one example, insufficient power includes low battery.

[0444] As one example, insufficient power includes zero power.

[0445] As an example, insufficient power includes the remaining power value being equal to the second threshold.

[0446] As an example, insufficient power includes the remaining power value being lower than the second threshold.

[0447] As an example, insufficient power includes being in a low power state.

[0448] As an example, the advantage of the above method is that it avoids the inability to report the measurement results for AI in a timely manner due to insufficient power.

[0449] Example 9

[0450] Example 9 illustrates a schematic diagram of the measurement cycle of the first node being updated for AI according to an embodiment of this application, as shown in the attached diagram. Figure 9 As shown.

[0451] In Example 9, when the remaining power value of the first node is equal to or lower than the second threshold, the measurement cycle of the AI ​​measurement is updated.

[0452] As an example, the measurement for AI is a periodic measurement.

[0453] As an example, the measurement for AI includes performing a measurement against the periodic reference signal.

[0454] As an example, the measurement configuration for AI indicates that the measurement cycle for AI is updated when the power is low.

[0455] As an example, the measurement configuration for AI indicates that the measurement cycle for AI is updated when the remaining power value of the first node is equal to or lower than the second threshold.

[0456] As an example, a measurement period is a positive integer number of milliseconds (ms).

[0457] As an example, the measurement configuration for AI indicates the measurement cycle of the measurement for AI before the update.

[0458] As an example, the measurement period for updating the measurement for AI includes: expanding the measurement period for the measurement for AI to Q times the original measurement period; wherein Q is a number greater than 1.

[0459] As a sub-implementation of the above embodiments, Q is a positive integer greater than 1.

[0460] As a sub-implementation of the above embodiment, Q is a power of 2.

[0461] As an example, the measurement period for updating the measurement for AI includes setting the measurement period for the measurement for AI to infinite.

[0462] As an example, setting the measurement period for the AI-related measurements to infinity is equivalent to stopping the AI-related measurements.

[0463] As an example, when the remaining power value of the first node is equal to or lower than the second threshold, the measurement for AI is relaxed.

[0464] As an example, when the remaining power value of the first node is equal to or lower than the second threshold, the measurement cycle for the measurement for AI is extended.

[0465] As an example, when the remaining battery power of the first node is equal to or lower than the second threshold, the measurement for AI is paused.

[0466] As an example, the advantage of the above method is that updating the measurement cycle for the AI ​​measurement when the remaining power value of the first node is low helps to save power.

[0467] In the appendix Figure 9 In the AI ​​measurement, the original measurement period is T. When the remaining power value of the first node is equal to or lower than the second threshold, the measurement period for the AI ​​measurement is updated to 2×T.

[0468] Example 10

[0469] Example 10 illustrates a schematic diagram of a second RRC message according to an embodiment of this application, as shown in the attached diagram. Figure 10 As shown.

[0470] Example 10 is applicable to scenarios where the second RRC message does not include the measurement result.

[0471] Example 10 applies to a scenario where the second RRC message includes the measurement results and the first UE variables include additional measurement results for AI that have not yet been included in the second RRC message.

[0472] As an example, the second RRC message indicates that the measurement results are available.

[0473] As a sub-example of the above embodiment, the second RRC message does not include the measurement results for AI.

[0474] As a sub-implementation of the above embodiments, the second RRC message includes the measurement results for AI, and the first UE variable includes additional measurement results for AI that have not yet been included in the second RRC message.

[0475] As an example, a field in the second RRC message is used to indicate that the measurement result is available.

[0476] As an example, the second RRC message includes a second field indicating that the measurement result is available.

[0477] As an example, the name of the second field includes Available.

[0478] As an example, the name of the second domain includes AI.

[0479] As an example, the second field includes 1 bit, which is set to 1 to indicate that the measurement result is available.

[0480] As an example, the second field is set to true to indicate that the measurement result is available.

[0481] As an example, the second field is set to alviliable to indicate that the measurement result is available.

[0482] As an example, the second field includes a third field, which indicates the reason that triggered the first report.

[0483] As an example, the second RRC message includes a third field indicating the reason that triggered the first report.

[0484] As an example, the name of the second field includes Cause.

[0485] As an example, the third field is a subfield of the second field.

[0486] As an example, the third domain includes at least one candidate, one candidate for a reason that triggered the first report.

[0487] As an example, the third field indicates the reason that triggered the first report before the second RRC message was generated or sent.

[0488] As an example, the third field indicates the reason that last triggered the first report before the second RRC message was generated or sent.

[0489] As an example, the available measurement results are the measurement results for AI in the first UE variable.

[0490] As a sub-example of the above embodiment, the second RRC message does not include the measurement results for AI.

[0491] As a sub-implementation of the above embodiment, the second RRC message includes a portion of the measurement results in the measurement results for AI; the available measurement results are additional measurement results in the first UE variable that have not yet been included in the second RRC message for AI.

[0492] As an example, the available measurement results are the event measurement results.

[0493] As an example, the available measurement results are the periodic measurement results.

[0494] As an example, the available measurement results include the event measurement results and the periodic measurement results.

[0495] Example 11

[0496] Example 11 illustrates yet another schematic diagram of a second RRC message according to an embodiment of this application, as shown in the attached diagram. Figure 11 As shown.

[0497] Example 11 applies to scenarios where the second RRC message includes the measurement result.

[0498] As an example, including the measurement result in the second RRC message includes setting the first field of the second RRC message to include at least one of the measurement results stored in the first UE variable; wherein the measurement result is stored in the first UE variable, and the first UE variable is stored in the first memory.

[0499] As an example, the second RRC message includes the first field, which includes at least one of the measurement results stored in the first UE variable.

[0500] As an example, the at least one measurement result includes one of the event measurement results.

[0501] As an example, the at least one measurement result includes one of the periodic measurement results.

[0502] As an example, the name of the first domain includes AI.

[0503] As an example, the first domain is MeasResultsAI (AI measurement results).

[0504] As an example, the first field is applied to R19 (Release 19).

[0505] As an example, the first domain is applied to versions after R19.

[0506] As an example, the first field is a measurement list field for AI.

[0507] As an example, the first UE variable is represented by ASN.1.

[0508] As an example, the first UE variable is maintained at the RRC layer.

[0509] As an example, the first UE variable is a UE variable of an RRC sublayer.

[0510] As an example, the first UE variable occupies AS memory (buffer).

[0511] As an example, the first UE variable is VarMeasReportList (measurement report list variable).

[0512] As an example, the first UE variable is VarRLF-Report (RLF reporting variable).

[0513] As an example, the name of the first UE variable includes Var.

[0514] As an example, the name of the first UE variable includes AI.

[0515] As an example, the first UE variable is VarMeasReportListAI (AI measurement report list variable).

[0516] As an example, the first UE variable is stored as a measurement report for AI.

[0517] As an example, the measurement results stored in the first UE variable are used for network-side model training.

[0518] As an example, the measurement results stored in the first UE variable are provided to the network side for data collection.

[0519] As an example, the first node receives a third RRC message, which instructs the first node to perform the measurement for AI and store the measurement result for AI in the first UE variable.

[0520] As an example, the name of the third RRC message includes AI.

[0521] As an example, the third RRC message is MeasurementConfigurationAI (AI Measurement Configuration).

[0522] As an example, the measurement list field for AI includes at least one entry, each of the at least one entry corresponding to a measurement result for AI.

[0523] As an example, the entry is the MeasResultNR (NR measurement result) field.

[0524] As an example, the entry is the MeasResultNR-AI (NR measurement result of AI) field.

[0525] As an example, at least one measurement result for AI stored in the first UE variable is set into the first domain.

[0526] Specifically, at least one entry corresponding to the measurement result for AI is stored in the first UE variable, and at least one entry included in the first domain is set as the at least one entry in the first UE variable.

[0527] Specifically, the first UE variable includes 10 entries, which store 10 measurement results for AI; the first field includes 10 entries, which are respectively set to the 10 entries included in the first UE variable, and the 10 entries included in the first UE variable are copied to the 10 entries included in the first UE variable.

[0528] As an example, the at least one measurement result for AI stored in the first UE variable is set into the first domain in the order in which it is obtained.

[0529] As an example, at least one measurement result for AI stored in the first UE variable is set into the first domain in the order of its storage time.

[0530] Specifically, the most recently recorded measurement result for AI is first set into the first domain, then the second most recently recorded measurement result for AI is set into the first domain, then the third most recently recorded measurement result, and so on, without further explanation.

[0531] As an example, at least one measurement result for AI stored in the first UE variable is set into the first domain in descending order of priority of the measurement result for AI.

[0532] As an example, the event measurement result is first set into the first domain, and then the periodic measurement result is set into the first domain; wherein the event measurement result has a higher priority than the periodic measurement result.

[0533] As an example, the order in which measurement results with the same priority are set depends on the implementation of the first node.

[0534] As an example, the order in which the measurement results with the same priority are set depends on the order in which they are recorded or stored.

[0535] As an example, when the first UE variable includes additional measurement results for AI that have not yet been included in the first field, the second field is included in the second RRC message.

[0536] Specifically, the first UE variable includes 10 entries, which store 10 measurement results for AI; the first field includes 8 entries, which are set to the 8 entries included in the first UE variable. There are 2 entries in the first UE variable that are not included in the first field. At this time, the second field is included in the RRC message to indicate that there are still available entries in the first UE variable; wherein, each entry corresponds to a measurement result for AI.

[0537] As an example, when the second RRC message includes the measurement result, the second RRC message includes at least the former of the first field and the second field.

[0538] As an example, when the second RRC message includes the measurement results, the second RRC message only includes the first field; wherein, the first field in the second RRC message includes all the measurement results for AI in the first UE variables.

[0539] As an example, when the second RRC message includes the measurement result, the second RRC message includes the first field and the second field; wherein, the first field in the second RRC message includes only a portion of the measurement result for AI in the first UE variable.

[0540] As one embodiment, the second domain is a subdomain of the first domain.

[0541] As an example, when the first field in the second RRC message is set to include the portion of the measurement results for AI stored in the first UE variable, the above method indicates to the base station by including the second field in the second RRC message, so that the base station can continue to request the UE when it needs to obtain the remaining additional measurement results for AI.

[0542] As an example, when the first field includes all measurement results obtained for the measurement of AI, the second RRC message does not include the second field.

[0543] As an example, after the lower layer of the first node confirms that the second RRC message has been successfully transmitted, the measurement results for AI that were included in the first domain and are now included in the first UE variable are deleted.

[0544] Specifically, the first UE variable includes 10 entries, which store 10 measurement results for AI; the first field includes 10 entries, which are set to the 10 entries included in the first UE variable; after the second RRC message is sent and confirmed by the lower layer of the first node to have been successfully transmitted, the 10 entries included in the first UE variable and sent in the second RRC message are deleted.

[0545] As one embodiment, the lower layer is the physical layer, or the MAC (Medium Access Control) sublayer, or the RLC (Radio Link Control) sublayer.

[0546] As an example, the above method can save memory space for the first node.

[0547] Example 12

[0548] Example 12 illustrates a schematic diagram of a measurement result according to an embodiment of this application, as shown in the attached diagram. Figure 12 As shown. In the appendix Figure 12 In the diagram, the dashed box indicates that including AI training data in the measurement results is optional.

[0549] In Example 12, the measurement results include a reference signal index and an RSRP, or RSRQ, measured for the reference signal indicated by the reference signal index.

[0550] As an example, the reference signal index included in one of the measurement results uniquely identifies a reference signal for the measurement configuration indication for AI.

[0551] As an example, one of the measurement results includes a quantity of measurement taken for a reference signal indicated by the reference signal index.

[0552] As an example, the measurement quantity is RSRP.

[0553] As an example, the measurement quantity is RSRQ.

[0554] As an example, the measurement is SINR (Signal to Interference plus Noise Ratio).

[0555] As an example, one of the measurement results is a result specific to a cell.

[0556] As an example, one of the measurement results includes the result of the cell in which the measurement for AI was performed.

[0557] As an example, one of the measurement results includes the physical cell identifier of the cell in which the measurement for AI was performed.

[0558] As an example, one of the measurement results includes results for each beam.

[0559] As an example, one of the measurement results includes results for each beam in the cell for which the measurement for AI was performed.

[0560] As an example, one of the measurement results includes a result for a first reference signal; wherein the first reference signal belongs to one of the reference signals indicated by the measurement configuration for AI, and belongs to a cell in which the measurement for AI is performed.

[0561] As an example, one of the measurement results includes the result for the optimal beam in the cell for which the measurement for AI was performed.

[0562] As an example, the first reference signal is the optimal beam in the cell for which the measurement for AI is performed.

[0563] As an example, the result for the first reference signal is included in the ResultsPerSSB-Index field; wherein the first reference signal is an SSB.

[0564] As an example, the result for the first reference signal is included in the ResultsPerCSI-RS-Index field; wherein the first reference signal is a CSI-RS.

[0565] As an example, one of the measurement results includes the reference signal index of the first reference signal.

[0566] As an example, one of the measurement results includes the measured quantity for the first reference signal.

[0567] As an example, the measurement results include the AI ​​training data.

[0568] As an example, the measurement results belong to the AI ​​training data.

[0569] As an example, the measurement results include the AI ​​performance monitoring data.

[0570] As an example, although not included in the appendix Figure 12 As shown, including the AI ​​performance monitoring data in the measurement results is optional.

[0571] As an example, one of the event measurement results may include some or all of the contents included in one of the measurement results described in Example 12.

[0572] Example 13

[0573] Example 13 illustrates a schematic diagram of an event measurement result according to an embodiment of this application, as shown in the attached diagram. Figure 13 As shown. In the appendix Figure 13 In the diagram, the dashed box indicates that including AI training data in the event measurement results is optional.

[0574] In Example 13, the event measurement result includes the time of the event and the identifier of the cell where the event occurred; wherein the event includes at least one of beam failure or radio link failure.

[0575] As an example, one of the event measurement results may include some or all of the contents included in one of the measurement results described in Example 12, which will not be repeated here.

[0576] As an example, the event includes beam failure.

[0577] As an example, the beam failure includes BFR (BeamFailure Recovery) failure.

[0578] As an example, the event includes the wireless link failure.

[0579] As an example, an event measurement result is a measurement result triggered by one of the events.

[0580] As an example, an event measurement result includes a timestamp field indicating the time when the event occurred.

[0581] As an example, an event measurement result includes an absolute timestamp field indicating the time when the event occurred.

[0582] As an example, an event measurement result includes a relative timestamp field indicating the time when the event occurred.

[0583] As an example, an event measurement result includes a timeSinceFailure field indicating the time when the event occurred.

[0584] As an example, an event measurement result includes an indication of the cause of the event occurring.

[0585] As an example, an event measurement result includes the identifier of the cell where the event occurred.

[0586] As an example, the cell in which the event occurred is the cell in which the measurement for AI was performed.

[0587] As an example, the identifier of the cell where the event occurred is the serving cell identifier.

[0588] As an example, the identifier of the cell where the event occurred is a physical cell identifier.

[0589] As an example, the identifier of the cell where the event occurred is ARFCN (Absolute Radio Frequency Channel Number).

[0590] As an example, the identifier of the cell in which the event occurred is ARFCN-ValueNR (the ARFCN value of the NR).

[0591] As an example, the identifier of the cell where the event occurred is CGI (Cell Global Identifier).

[0592] As an example, the CGI is NCGI (NR Cell Global Identifier).

[0593] As an example, the identifier of the cell where the event occurred is PLMN-Identity (Public Land Mobile Network-Identity).

[0594] As an example, the identifier of the cell where the event occurred is NPN-Identity (Non-Public Network Identity).

[0595] As an example, the identifier of the cell where the event occurred is CellIdentity.

[0596] As an example, an event measurement result includes a reference signal identifier of a second reference signal in the cell where the event occurred; wherein the event is a beam failure.

[0597] As an example, the first reference signal belongs to one of the reference signals indicated by the measurement configuration for AI, and belongs to the cell in which the event occurred.

[0598] As an example, the second reference signal is indicated by RadioLinkMonitoringRS.

[0599] As an example, the second reference signal is indicated by BeamLinkMonitoringRS.

[0600] As an example, the second reference signal is indicated by CandidateBeamRS (candidate beam reference signal).

[0601] As an example, the event measurement results include the AI ​​training data.

[0602] As an example, the event measurement results include the AI ​​performance monitoring data.

[0603] As an example, although not included in the appendix Figure 13As shown, including the AI ​​performance monitoring data in the event measurement results is optional.

[0604] Example 14

[0605] Example 14 illustrates a schematic diagram of an AI processing system according to an embodiment of this application, as shown in the attached diagram. Figure 14 As shown. (Attached) Figure 14 The system includes a first processor, a second processor, and a third processor. In embodiment 14, the third processor sends a first dataset to the second processor and a second dataset to the first processor; the second processor generates a target parameter set based on the first dataset and sends the generated target parameter set to the first processor; the first processor processes the second dataset using the target parameter set to obtain a first type of output. (See Appendix...) Figure 14 In this context, the first type of feedback is optional.

[0606] As an example, the AI ​​includes ML (machine learning).

[0607] The measurement for AI is performed according to the measurement configuration for AI, and the obtained measurement results are stored in the first memory.

[0608] As one embodiment, the third processor performs the measurement for AI according to the measurement configuration for AI, and obtains a first dataset and a second dataset.

[0609] As a sub-example of the above embodiments, the first dataset includes the measurement results for AI purposes.

[0610] As a sub-example of the above embodiments, the first dataset includes the measurement results for AI purposes.

[0611] As a sub-example of the above embodiments, the first dataset includes at least one of the event measurement results and the periodic measurement results for AI purposes.

[0612] As a sub-example of the above embodiments, the first dataset includes at least one of the event measurement results and the periodic measurement results for AI purposes.

[0613] As an example, the data included in the first dataset and the data included in the second dataset are at least partially different.

[0614] As an example, the first dataset and the second dataset are obtained by performing measurements on cells or reference signals in cells on different time domain resources, or on different frequency domain resources, or on different spatial domain resources.

[0615] As an example, the first dataset and the second dataset were obtained by performing measurements on different cells.

[0616] As an example, the first dataset and the second dataset are obtained by performing measurements on different reference signals.

[0617] As one embodiment, the second processor includes an AI / ML training producer.

[0618] As one embodiment, the second processor includes an AI / ML training function.

[0619] As an example, the first dataset includes training data.

[0620] As one embodiment, the second processor is trained based on the input first dataset, and the trained model is described by the target parameter set.

[0621] As one embodiment, the third processor is located at the first node, and the second processor is located at the second node.

[0622] The above embodiments can reduce the computational burden on the UE.

[0623] As one embodiment, the third processor is located at the first node, and the second processor is located at the first node.

[0624] The above embodiments can reduce signaling overhead and optimize the training system.

[0625] As an example, the target parameter set is input to the first processor.

[0626] As one embodiment, the first processor includes an AI / ML inference producer.

[0627] As one embodiment, the first processor includes an AI / ML inference function.

[0628] As an example, the second dataset includes inference data.

[0629] As an example, the first processor constructs a model based on the target parameter set and inputs the second dataset into the constructed model to obtain the first type of output.

[0630] As an example, different sets of target parameters can construct different models, and the corresponding first type of output will also be different.

[0631] As an example, the target parameter set includes at least one of layer 1 filtering coefficients, layer 3 filtering coefficients, cell handover judgment criteria, interpolation algorithm, filtering algorithm, and prediction algorithm.

[0632] As an example, the target parameter set includes at least one of the parameters of the interpolation algorithm, the parameters of the filtering algorithm, and the parameters of the prediction algorithm.

[0633] As an example, the first type of output is based on reasoning.

[0634] As an example, the first type of output is a predicted value.

[0635] As an example, when the first processor completes the AI-based beam management function, the first type of output is either the predicted beam quality or the predicted beam failure indication.

[0636] As an example, when the first processor completes AI-based mobility management, the first type of output is whether the predicted switching conditions are met.

[0637] As an example, when the first processor completes AI-based wireless link management, the first type of output is whether the predicted out-of-sync event is satisfied, or whether the predicted in-sync event is satisfied.

[0638] As one embodiment, the first processor is located at the first node.

[0639] As a sub-implementation of the above embodiment, when the second processor is located at the second node, the target parameter group is sent to the first node via the air interface.

[0640] As an example, the first processor generates the first type of feedback from the first type of output and the error based on the measured output.

[0641] As an example, the first type of feedback is the performance monitoring result.

[0642] As an example, the measurement results for AI include the performance monitoring results.

[0643] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the second processing opportunity recalculates the target parameter set.

[0644] As one embodiment, the first processor is located in the attached Figure 4 The controller / processor in the 459.

[0645] As one embodiment, the second processor is located in the attached Figure 4 The controller / processor is 475 or 459.

[0646] As one embodiment, the third processor is located in the attached Figure 4 The controller / processor in the 459.

[0647] Example 15

[0648] Example 15 illustrates an AI-based operation diagram according to an embodiment of this application, as shown in the attached diagram. Figure 11 As shown. (Attached) Figure 15 This includes five operations: AI training, AI testing, AI emulation, AI entity loading, and AI inference. In Example 15, AI training and AI testing belong to the training phase, AI simulation belongs to the simulation phase, AI entity loading belongs to the deployment phase, and AI inference belongs to the inference phase. (See Appendix...) Figure 15 In the diagram, the lines with arrows indicate the sequence of processes.

[0649] As one embodiment, the AI ​​training, the AI ​​testing, and the AI ​​simulation are performed on the second processor described in embodiment 14; the AI ​​inference is performed on the first processor described in embodiment 14.

[0650] As one example, the AI ​​training includes initial training and re-training of one or a group of AI entities.

[0651] As an example, the AI ​​training relies on training data.

[0652] As one example, the AI ​​training includes AI entity validation.

[0653] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[0654] As an example, the AI ​​entity verification relies on verification data.

[0655] As an example, if the AI ​​entity verification result does not meet expectations, the AI ​​entity will be retrained.

[0656] As one example, the AI ​​testing includes testing the validated AI entity to estimate the performance obtained from training.

[0657] As an example, if the AI ​​test results meet expectations, the AI ​​entity proceeds to the next stage; otherwise, the AI ​​entity will be retrained.

[0658] As an example, the AI ​​test relies on test data.

[0659] As an example, the AI ​​simulation performs inference of AI entities in a simulation environment.

[0660] As an example, the AI ​​simulation estimates the performance of AI entity reasoning in a simulation environment before using the AI ​​entity.

[0661] As an example, the simulation phase is optional.

[0662] As an example, the AI ​​entity loading is to obtain a trained AI entity to achieve the desired AI inference function.

[0663] As an example, the deployment phase is optional.

[0664] As an example, this deployment is no longer needed when the training and inference functions are co-located.

[0665] As one example, the AI ​​inference function includes a prediction function.

[0666] Unless otherwise specified, all reasoning in this application is performed by the AI.

[0667] Example 16

[0668] Example 16 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application, as shown in the attached diagram. Figure 16 As shown.

[0669] In the appendix Figure 16 In this configuration, the first node processing device 1600 includes a first receiver 1601 and a first transmitter 1602. The first node 1600 is a terminal, or the first node 1600 is a UE.

[0670] In embodiment 16, the first receiver 1601 receives a first RRC information block set, which includes a measurement configuration for AI and a first condition set. The first receiver 1601 performs a measurement for AI according to the measurement configuration for AI and stores the obtained measurement result in a first memory. As a response to any condition in the first condition set being met, the first transmitter 1602 triggers a first report. The measurement result includes at least one of periodic measurement results and event measurement results. The first condition set includes the remaining size of the first memory being equal to or less than a first threshold. Triggering the first report includes generating a second RRC message and sending the second RRC message through a target SRB. When the second RRC message does not include the measurement result, the target SRB is SRB1. When the second RRC message includes the measurement result, the target SRB is a first SRB. The priority of the first SRB is lower than the priority of SRB1.

[0671] As an example, only the event measurement results are stored in the first memory; wherein the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one event measurement result.

[0672] As one embodiment, only the event measurement results are stored in the first memory; wherein the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one event measurement result; the first condition set includes the remaining power value of the first node being equal to or less than a second threshold; wherein the determination of the remaining power value of the first node depends on the implementation of the first node.

[0673] As an example, the first set of conditions includes the remaining power value of the first node being equal to or lower than a second threshold; wherein the determination of the remaining power value of the first node depends on the implementation of the first node; when the remaining power value of the first node is equal to or lower than the second threshold, the first receiver 1601 updates the measurement period of the AI ​​measurement.

[0674] As an example, when the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

[0675] As an example, including the measurement result in the second RRC message includes setting the first field of the second RRC message to include at least one of the measurement results stored in the first UE variable; wherein the measurement result is stored in the first UE variable, and the first UE variable is stored in the first memory.

[0676] As one embodiment, the measurement results include a reference signal index and an RSRP, or RSRQ, measured for the reference signal indicated by the reference signal index.

[0677] As an example, the event measurement result includes the time of the event and the identifier of the cell where the event occurred; wherein the event includes at least one of beam failure or radio link failure.

[0678] As an example, the measurement results for AI include AI training data.

[0679] As an example, the first node 1600 is the first node in this application.

[0680] As one embodiment, the first receiver 1601 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), receiver processor 456, multi-antenna receiver processor 458, and controller / processor 459 are included.

[0681] As one embodiment, the first receiver 1601 includes the appendix to this application. Figure 4 The receiver 454 (including antenna 452), the receiver processor 456, the multi-antenna receiver processor 458, or the controller / processor 459 are at least one of them.

[0682] As one embodiment, the first transmitter 1602 includes the appendix to this application. Figure 4 The transmitter 454 (including antenna 452), the transmitter processor 468, the multi-antenna transmitter processor 457, and the controller / processor 459 are included.

[0683] As one embodiment, the first transmitter 1602 includes the appendix to this application. Figure 4 The transmitter 454 (including antenna 452), the transmitter processor 468, the multi-antenna transmitter processor 457, or the controller / processor 459 are at least one of them.

[0684] As one embodiment, the first receiver 1601 includes the appendix to this application. Figure 14 The first processor in the system.

[0685] As one embodiment, the first receiver 1601 performs the functions described in this application appendix. Figure 14The function of the first processor in the system.

[0686] As one embodiment, the first receiver 1601 includes the appendix to this application. Figure 14 The second processor in the system.

[0687] As one embodiment, the first receiver 1601 performs the functions described in this application appendix. Figure 14 The function of the second processor in the system.

[0688] As one embodiment, the first receiver 1601 includes the appendix to this application. Figure 14 The third processor in the system.

[0689] As one embodiment, the first receiver 1601 performs the functions described in this application appendix. Figure 14 The function of the third processor in the system.

[0690] Example 17

[0691] Example 17 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of this application, as shown in the attached diagram. Figure 17 As shown.

[0692] In the appendix Figure 17 In this configuration, the second node processing device 1700 includes a second transmitter 1701 and a second receiver 1702; wherein the second receiver 1702 is optional. The second node 1700 is a base station.

[0693] In embodiment 17, the second transmitter 1701 sends a first RRC information block set, which includes a measurement configuration for AI and a first condition set; a measurement for AI is performed according to the measurement configuration for AI, and the obtained measurement result is stored in a first memory; the second receiver 1702 receives a second RRC message; wherein the measurement result includes at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; as a response to any condition in the first condition set being met, a first report is triggered; the first report being triggered includes the generation of the second RRC message and the transmission of the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; when the second RRC message includes the measurement result, the target SRB is the first SRB; the priority of the first SRB is lower than the priority of the SRB1.

[0694] As an example, only the event measurement results are stored in the first memory; wherein the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one event measurement result.

[0695] As one embodiment, only the event measurement results are stored in the first memory; wherein the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one event measurement result; the first condition set includes the remaining power value of the first node being equal to or less than a second threshold; wherein the determination of the remaining power value of the first node depends on the implementation of the first node.

[0696] As an example, the first set of conditions includes the remaining battery value of the first node being equal to or lower than a second threshold; wherein the determination of the remaining battery value of the first node depends on the implementation of the first node; when the remaining battery value of the first node is equal to or lower than the second threshold, the measurement cycle for the measurement of AI is updated.

[0697] As an example, when the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

[0698] As an example, the second RRC message includes the measurement result, wherein the first field of the second RRC message is configured to include at least one of the measurement results stored in a first UE variable; wherein the measurement result is stored in the first UE variable, and the first UE variable is stored in the first memory.

[0699] As one embodiment, the measurement results include a reference signal index and an RSRP, or RSRQ, measured for the reference signal indicated by the reference signal index.

[0700] As an example, the event measurement result includes the time of the event and the identifier of the cell where the event occurred; wherein the event includes at least one of beam failure or radio link failure.

[0701] As an example, the measurement results for AI include AI training data.

[0702] As an example, the second node 1700 is the second node in this application.

[0703] As one embodiment, the second transmitter 1701 includes the appendix to this application. Figure 4The transmitter 418 (including antenna 420), the transmitter processor 416, the multi-antenna transmitter processor 471, and the controller / processor 475 are included.

[0704] As one embodiment, the second transmitter 1701 includes the appendix to this application. Figure 4 The transmitter 418 (including antenna 420), the transmitter processor 416, the multi-antenna transmitter processor 471, and the controller / processor 475 are at least one of them.

[0705] As one embodiment, the second receiver 1702 includes the appendix to this application. Figure 4 The receiver 418 (including antenna 420), receiver processor 470, multi-antenna receiver processor 472, and controller / processor 475 are included.

[0706] As one embodiment, the second receiver 1702 includes the appendix to this application. Figure 4 The receiver 418 (including antenna 420), receiver processor 470, multi-antenna receiver processor 472, or controller / processor 475 are at least one of them.

[0707] As one embodiment, the second node 1701 further includes a fourth processor 1702, which is optional.

[0708] As one embodiment, the fourth processor 1702 includes the appendix to this application. Figure 4 The controller / processor in the 475.

[0709] As one embodiment, the fourth processor 1702 performs the functions described in this application appendix. Figure 14 The function of the second processor in the system.

[0710] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The first type of communication node or UE or terminal in this application includes, but is not limited to, mobile phones, tablets, laptops, network cards, low-power devices, eMTC (enhanced Machine Type Communication) devices, NB-IoT devices, vehicle communication devices, aircraft, drones, remote-controlled aircraft, and other wireless communication devices. The second type of communication node or base station or network-side equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, eNBs, gNBs, Transmission and Reception Points (TRPs), relay satellites, satellite base stations, airborne base stations, and testing equipment, such as transceivers simulating some functions of a base station, signaling testers, and other wireless communication equipment.

[0711] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A method used in a first node of wireless communication, characterized in that, include: Receive a first set of RRC information blocks, the first set of RRC information blocks including a measurement configuration for AI and a first set of conditions; The measurement for AI is performed according to the measurement configuration for AI, and the obtained measurement results are stored in the first memory; As a response to the fulfillment of any condition in the first set of conditions, the first report is triggered; The measurement result includes at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; triggering the first reporting includes generating a second RRC message and sending the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; When the measurement result is included in the second RRC message, the target SRB is the first SRB; the priority of the first SRB is lower than the priority of the SRB1.

2. The method in the first node according to claim 1, characterized in that, Only the event measurement results are stored in the first memory; Wherein, the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one of the event measurement results.

3. The method in the first node according to claim 2, characterized in that, The first set of conditions includes the remaining battery power of the first node being equal to or lower than the second threshold; The determination of the remaining battery power of the first node depends on the implementation of the first node.

4. The method in the first node according to claim 3, characterized in that, include: When the remaining battery power of the first node is equal to or lower than the second threshold, the measurement cycle of the AI ​​measurement is updated.

5. The method in the first node according to any one of claims 1 to 4, characterized in that, When the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

6. The method in the first node according to any one of claims 1 to 5, characterized in that, The second RRC message including the measurement result includes setting the first field of the second RRC message to include at least one of the measurement results stored in the first UE variable; The measurement results are stored in the first UE variable, and the first UE variable is stored in the first memory.

7. The method in the first node according to any one of claims 1 to 6, characterized in that, The measurement results include a reference signal index and an RSRP, or RSRQ, measured for the reference signal indicated by the reference signal index.

8. The method in the first node according to any one of claims 1 to 7, characterized in that, The event measurement results include the time of the event and the identifier of the cell where the event occurred; The event includes at least one of beam failure or wireless link failure.

9. The method in the first node according to any one of claims 1 to 8, characterized in that, The measurement results for AI include AI training data.

10. A terminal, characterized in that, The terminal includes: one or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the terminal to perform the method as described in any one of claims 1-9.

11. A method used in a second node for wireless communication, characterized in that, include: Send a first set of RRC information blocks, the first set of RRC information blocks including measurement configuration for AI, and a first set of conditions; According to the measurement configuration for AI, the measurement is performed and the obtained measurement results are stored in the first memory; Receive the second RRC message; The measurement result includes at least one of periodic measurement results and event measurement results; the first condition set includes the remaining size of the first memory being equal to or less than a first threshold; as a response to any condition in the first condition set being met, a first report is triggered; the first report being triggered includes the generation of a second RRC message and the sending of the second RRC message through a target SRB; when the second RRC message does not include the measurement result, the target SRB is SRB1; When the measurement result is included in the second RRC message, the target SRB is the first SRB; the priority of the first SRB is lower than the priority of the SRB1.

12. The method in the second node according to claim 11, characterized in that, Only the event measurement results are stored in the first memory; Wherein, the remaining size of the first memory is equal to or less than the first threshold, and the remaining size of the first memory can accommodate at least one of the event measurement results.

13. The method in the second node according to claim 12, characterized in that, The first set of conditions includes the remaining battery power of the first node being equal to or lower than the second threshold; The determination of the remaining battery power of the first node depends on the implementation of the first node.

14. The method in the second node according to claim 13, characterized in that, include: When the remaining battery power of the first node is equal to or lower than the second threshold, the measurement cycle for the AI ​​measurement is updated.

15. The method in the second node according to any one of claims 11 to 14, characterized in that, When the measurement result is not included in the second RRC message, the second RRC message indicates that the measurement result is available.

16. The method in the second node according to any one of claims 11 to 15, characterized in that, The second RRC message includes the measurement results, wherein the first field of the second RRC message is set to include at least one of the measurement results stored in the first UE variable; The measurement results are stored in the first UE variable, and the first UE variable is stored in the first memory.

17. The method in the second node according to any one of claims 11 to 16, characterized in that, The measurement results include a reference signal index and an RSRP, or RSRQ, measured for the reference signal indicated by the reference signal index.

18. The method in the second node according to any one of claims 11 to 17, characterized in that, The event measurement results include the time of the event and the identifier of the cell where the event occurred; The event includes at least one of beam failure or wireless link failure.

19. The method in the second node according to any one of claims 11 to 18, characterized in that, The measurement results for AI include AI training data.

20. A base station, characterized in that, The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the base station to perform the method as described in any one of claims 11 to 19.

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