Mdt measurement and reporting method and apparatus, electronic device, and storage medium

Abstract

This disclosure provides a method, apparatus, electronic device, and computer-readable storage medium for MDT measurement and reporting, relating to the field of wireless communication technology. The method includes: a terminal receiving a first signaling sent by a source base station, the first signaling including continuous MDT measurement indication information, continuous MDT measurement period, continuous MDT measurement frequency, continuous MDT measurement duration, or indication information indicating whether a timestamp for recording measurement parameters is required; the terminal performing continuous MDT measurement based on the MDT-related indication information in the first signaling to generate an MDT measurement report; and when reporting conditions are met, directly reporting to the source base station or forwarding it to the source base station through a receiving base station, so that the source base station can apply the MDT measurement report; the embodiments of this disclosure can continuously collect and record relevant information, improving the quality of the dataset collected by the network.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication technology, and in particular to an MDT measurement and reporting method, apparatus, electronic device and computer-readable storage medium. Background Technology

[0002] The purpose of the terminal performing MDT measurements and reporting is to provide the network with sufficient measurement sampling data to analyze the performance of various aspects of the network and make corresponding optimizations, such as wireless coverage, traffic demand prediction and analysis, and user movement trajectory prediction.

[0003] However, the existing MDT mechanism has a relatively simple method for collecting terminal data and is affected by the UE RRC state. The MDT mechanism is different in different UE RRC states. Considering that the UE will experience state changes in the network, the data collected based on the existing MDT mechanism has the problem of data discontinuity.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] This disclosure provides a method, apparatus, electronic device, and computer-readable storage medium for MDT measurement and reporting, which at least to some extent overcomes the problem of discontinuous data collected by the MDT mechanism in related technologies.

[0006] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0007] According to one aspect of this disclosure, a method for MDT measurement and reporting is provided, applied to a terminal, comprising receiving a first signaling sent by a source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurement; and performing continuous MDT measurement according to the first signaling to generate an MDT measurement report.

[0008] The first signaling includes at least one of the following:

[0009] Continuous MDT measurement indication information;

[0010] Continuous MDT measurement cycle;

[0011] Continuous MDT measurement frequency;

[0012] Continuous MDT measurement duration;

[0013] Whether it is necessary to record the timestamp information of the measurement parameters.

[0014] In one embodiment of this disclosure, the method further includes: when the reporting conditions are met, sending the MDT measurement report to the source base station so that the source base station can apply the MDT measurement report.

[0015] In one embodiment of this disclosure, the step of sending the MDT measurement report to the source base station when the reporting conditions are met, so that the source base station can apply the MDT measurement report, includes: when the reporting conditions are met, reporting the MDT measurement report to the receiving base station via a second signaling, wherein the MDT measurement report contains source base station information, and the source base station information is the base station identifier or index of the source base station; when the receiving base station determines that the receiving base station is the source base station based on the MDT measurement report, it applies the MDT measurement report.

[0016] In one embodiment of this disclosure, the step of sending the MDT measurement report to the source base station when the reporting conditions are met, so that the source base station can apply the MDT measurement report, includes: when the receiving base station determines that it is not the source base station based on the MDT measurement report, sending the MDT measurement report to the source base station via a third signaling, so that the source base station can apply the MDT measurement report.

[0017] In one embodiment of this disclosure, the method further includes: the Access and Mobility Management Function (AMF) or the Operations Management and Maintenance (OAM) element sends the continuous MDT measurement configuration to the source base station.

[0018] In one embodiment of this disclosure, the receiving base station further includes sending the MDT measurement report to a functional network element so that the functional network element applies the MDT measurement report.

[0019] In one embodiment of this disclosure, the source base station has a centralized unit and a distributed unit separate architecture. The centralized unit of the source base station needs to send continuous MDT measurement configuration to the distributed unit of the source base station through F1 interface signaling.

[0020] In one embodiment of this disclosure, the source base station has a control plane and user plane separation architecture, and the control plane of the centralized unit of the source base station sends continuous MDT measurement configuration to the data plane of the centralized unit of the source base station through E1 interface signaling.

[0021] In one embodiment of this disclosure, the first signaling is Radio Resource Control (RRC) signaling, and the first signaling is at least one of the following signaling types:

[0022] Recorded measurement configuration;

[0023] Measurement configuration;

[0024] Continuous measurement configuration.

[0025] In one embodiment of this disclosure, the second signaling is RRC signaling, and the second signaling is at least one of the following signaling types:

[0026] Measurement report;

[0027] MDT report;

[0028] Continuous measurement report;

[0029] Continuous MDT reports.

[0030] In one embodiment of this disclosure, the third signaling is Xn / X2 interface signaling, and the Xn / X2 interface signaling is at least one of the following signaling types:

[0031] Access and mobility indication signaling;

[0032] Failure indication signaling;

[0033] Switching report signaling.

[0034] According to another aspect of this disclosure, an MDT measurement and reporting device is also provided, comprising:

[0035] The measurement signaling receiving module receives a first signaling sent by the source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurement;

[0036] The measurement report generation module performs continuous MDT measurements and generates an MDT measurement report based on the first signaling.

[0037] According to another aspect of this disclosure, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform any of the MDT measurement and reporting methods described above by executing the executable instructions.

[0038] According to another aspect of this disclosure, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the MDT measurement and reporting method described in any of the preceding claims.

[0039] The MDT measurement and reporting method, apparatus, electronic device, and computer-readable storage medium provided in the embodiments of this disclosure allow a terminal to receive a first signaling sent by a source base station. The first signaling includes continuous MDT measurement indication information, continuous MDT measurement period, continuous MDT measurement frequency, continuous MDT measurement duration, or indication information on whether a timestamp for recording measurement parameters is required. The terminal generates an MDT measurement report by performing continuous MDT measurements based on the MDT-related indication information in the first signaling. When the reporting conditions are met, the report is directly sent to the source base station or forwarded to the source base station through a receiving base station, so that the source base station can use the MDT measurement report to continuously collect and record relevant information, thereby improving the quality of the dataset collected by the network.

[0040] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0041] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0042] Figure 1 This diagram illustrates a flowchart of an MDT measurement method according to an embodiment of the present disclosure.

[0043] Figure 2 This diagram illustrates a flowchart of an MDT measurement report reporting method according to an embodiment of the present disclosure;

[0044] Figure 3 This diagram illustrates a flowchart of an MDT measurement and reporting method according to an embodiment of the present disclosure.

[0045] Figure 4 This diagram illustrates a flowchart of a continuous MDT measurement configuration distribution method according to an embodiment of the present disclosure.

[0046] Figure 5 This diagram illustrates a flowchart of yet another continuous MDT measurement configuration distribution method according to an embodiment of the present disclosure.

[0047] Figure 6 This diagram illustrates a flowchart of yet another MDT measurement and reporting method according to an embodiment of the present disclosure;

[0048] Figure 7 This diagram illustrates a flowchart of yet another MDT measurement and reporting method according to an embodiment of the present disclosure;

[0049] Figure 8 This diagram illustrates an MDT measurement and reporting device according to an embodiment of the present disclosure.

[0050] Figure 9 A schematic diagram of an exemplary system architecture that can be applied to the MDT measurement and reporting method or MDT measurement and reporting apparatus in the embodiments of this disclosure is shown;

[0051] Figure 10 A structural block diagram of an electronic device according to an embodiment of the present disclosure is shown. Detailed Implementation

[0052] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0053] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0054] To facilitate understanding, the following is an explanation of several terms used in this disclosure:

[0055] MDT (Minimization of Drive Test) uses user terminals to report measurements, enabling the automatic collection of terminal measurement data to detect and optimize problems and faults in wireless networks.

[0056] The AMF (Access and Mobility Management Function) performs registration, connection, reachability, and mobility management, provides session management message transmission channels for terminals, and provides authentication and authorization functions for users when accessing the network. It is the access point for the core network control plane of terminals and wireless networks.

[0057] OAM (Operations Administration and Maintenance) refers to the division of network management work into three categories based on the actual needs of network operation: Operation, Administration, and Maintenance.

[0058] EM (Element Manager) is a subset of OAM.

[0059] Radio Resource Control (RRC) refers to the management, control, and scheduling of wireless resources through certain strategies and methods. While meeting service quality requirements, it aims to make full use of limited wireless network resources, ensure coverage of planned areas, and maximize service capacity and resource utilization.

[0060] AI (Artificial Intelligence) models include types such as deep neural networks and reinforcement learning.

[0061] NR (New Radio) is a new wireless access technology used in mobile communication networks.

[0062] The following detailed description of this exemplary implementation method is provided in conjunction with the accompanying drawings and embodiments.

[0063] First, this disclosure provides an MDT measurement and reporting method, which can be executed by any electronic device with computing capabilities.

[0064] Figure 1 A flowchart of an MDT measurement method according to an embodiment of this disclosure is shown, as follows: Figure 1 As shown in the embodiments of this disclosure, the MDT measurement method, applied to a terminal, includes the following steps:

[0065] S102, receive the first signaling sent by the source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurement.

[0066] Based on this continuous MDT measurement configuration, the terminal continuously measures and collects measurement data regardless of the current UE RRC state (i.e., regardless of whether the UE is in Idle / Inactive / Connected state, it performs the same measurement process based on this continuous MDT configuration) and reports the data when the reporting conditions are met.

[0067] In one embodiment, the first signaling includes at least one of the following:

[0068] Continuous MDT measurement indication information is used to instruct the terminal to perform continuous MDT measurements;

[0069] Continuous MDT measurement cycle, used to indicate the cycle during which the terminal performs continuous MDT measurements;

[0070] Continuous MDT measurement frequency is used to indicate the frequency at which the terminal performs continuous MDT measurements.

[0071] Continuous MDT measurement duration, used to indicate the duration for which the terminal performs continuous MDT measurements;

[0072] Indicator information on whether or not to record the timestamp of the measurement parameter, such as the MDT measurement configuration indicating the terminal's measurement location information. Correspondingly, the MDT measurement configuration includes an information cell to indicate whether or not to record the timestamp corresponding to the parameter, such as the specific location information of the terminal at a certain moment. The location information includes, but is not limited to: coordinates, longitude, latitude, altitude, etc.

[0073] In one embodiment, the first signaling includes, but is not limited to: traditional MDT working mode, the area range where the terminal needs to perform MDT measurement, the MDT measurement list, or the relevant configuration parameters required for MDT measurement, etc. The relevant configuration parameters required for MDT measurement may be trigger conditions, etc.

[0074] Traditional MDT working modes include the following two:

[0075] Non-real-time MDT (logged MDT): When the terminal is in the RRC idle state, the terminal performs MDT measurement and storage according to the continuous MDT configuration information sent by the network side, and then reports to the network when it enters the RRC connected state and the network requests the measurement report.

[0076] Real-time MDT: The terminal performs MDT measurements while in RRC connection mode and immediately reports to the network after meeting the reporting conditions.

[0077] In one embodiment, the first signaling is Radio Resource Control (RRC) signaling, and the first signaling is at least one of the following signaling or other newly added RRC signaling:

[0078] Logged Measurement Configuration;

[0079] Measurement Configuration;

[0080] Continuous Measurement Configuration, etc.

[0081] In one embodiment, the source base station is a base station that configures the terminal to perform continuous MDT measurements, and the access and mobility management function (AMF) or operation management and maintenance element (OAM) sends the continuous MDT measurement configuration to the source base station.

[0082] In one embodiment, the network management side's OAM or AMF sends the continuous MDT measurement configuration to the network side in the following two ways:

[0083] Management-based MDT process: drive test configuration for terminals within a certain range;

[0084] Signaling-based MDT: For drive test configuration of a specified terminal, the terminal is limited based on IMSI (International Mobile Subscriber Identification Number) or IMEI (International Mobile Equipment Identity), or can be selected based on regional information.

[0085] S104, Execute continuous MDT measurement and generate MDT measurement report according to the first signaling.

[0086] In one embodiment, when the reporting conditions are met, an MDT measurement report is reported to the receiving base station via a second signaling. The MDT measurement report contains source base station information, which is the base station identifier or index of the source base station, so that the source base station can apply the MDT measurement report. When the receiving base station determines that the receiving base station is the source base station based on the MDT measurement report, it applies the MDT measurement report. When the receiving base station determines that the receiving base station is not the source base station based on the MDT measurement report, it sends the MDT measurement report to the source base station via a third signaling, so that the source base station can apply the MDT measurement report.

[0087] In one embodiment, the wireless network can uniformly collect MDT data according to a specified data format. The collected MDT data can be used for traditional network optimization and planning or other network performance analysis, such as data analysis, AI model training or AI model inference. The trained AI model can be deployed on the network platform for subsequent network optimization tasks.

[0088] In the above embodiments, the existing MDT mechanism is enhanced, enabling the network to continuously collect measurement and user-related data from the terminal side based on configuration, regardless of the terminal status. When necessary, the collected MDT data is transmitted between network interfaces. This MDT data is used for traditional network optimization and planning, or other network performance analysis, such as data analysis, AI model training or inference, and subsequent intelligent applications of wireless networks. This effectively solves the problem of discontinuous data collection in existing networks, improves the completeness of datasets used for AI model training in wireless AI scenarios, thereby improving wireless AI training efficiency and ensuring the accuracy of wireless AI algorithm predictions.

[0089] Figure 2 This invention discloses a flowchart of an MDT measurement report reporting method according to an embodiment of the present invention. Figure 2 As shown in the embodiments of this disclosure, the MDT measurement report reporting method, applied to a terminal, includes the following steps:

[0090] S202, when the reporting conditions are met, the MDT measurement report is reported to the receiving base station via the second signaling.

[0091] In one embodiment, the MDT measurement report includes source base station information, which includes, but is not limited to, the base station identifier or index of the source base station.

[0092] In NR, terminals have three RRC states: RRC Idle, RRC Inactive, and RRC Connected. NR introduces the RRC Inactive state at the RRC layer, which reduces latency and saves terminal power. When a terminal is in the RRC Inactive state, it retains the context of the last serving cell and allows it to move within the RAN-based notification area without informing the network which cell it is in. The network maintains the NG interface connection and the NAS signaling connection together with the terminal. This allows the terminal to use the RRC connection recovery process to restore the SRB and DRB, and then directly start sending or receiving data, thereby reducing latency.

[0093] In one embodiment, the reporting conditions include, but are not limited to:

[0094] The duration of the continuous MDT measurement has been reached and the terminal is currently in an RRC connection state.

[0095] If the duration of a continuous MDT measurement has been reached, but the terminal is currently in an RRC idle state or an RRC inactive state, the MDT measurement report will be immediately submitted when the terminal enters an RRC connected state.

[0096] By obtaining relevant parameters for network optimization through MDT measurement reports reported by terminals, MDT technology can reduce drive test overhead and shorten the optimization cycle compared with traditional drive testing, thereby reducing the network optimization and maintenance costs for mobile communication operators. In addition, MDT technology can collect measurement information that traditional drive testing technologies cannot collect in complex terrain, private locations, etc., so it can more objectively evaluate network performance.

[0097] In one embodiment, the second signaling is RRC signaling, which is at least one of the following signaling or other newly added RRC signaling:

[0098] Measurement Report;

[0099] MDT Report;

[0100] Continuous Measurement Report;

[0101] Continuous MDT Report, etc.

[0102] In one embodiment, the receiving base station sends the MDT measurement report to the functional network element so that the functional network element can apply the MDT measurement report, for example, for use in traditional network optimization and planning or other network performance analysis.

[0103] S204, The receiving base station determines whether it is the source base station based on the MDT measurement report;

[0104] In one embodiment, the source base station has a centralized unit and a distributed unit separate architecture. The centralized unit of the source base station needs to send continuous MDT measurement configuration to the distributed unit of the source base station through F1 interface signaling. The F1 interface signaling can be Trace Start signaling.

[0105] In one embodiment, the source base station has a control plane and user plane separation architecture. The control plane of the centralized unit of the source base station sends continuous MDT measurement configuration to the data plane of the centralized unit of the source base station through E1 interface signaling. The E1 interface signaling can be Trace Start signaling.

[0106] S206, if so, then receive the base station application MDT measurement report.

[0107] S208, otherwise, the MDT measurement report is sent to the source base station via third signaling so that the source base station can apply the MDT measurement report.

[0108] In one embodiment, the third signaling is Xn / X2 interface signaling, and the Xn / X2 interface signaling is at least one of the following signaling types:

[0109] Access and mobility indication signaling;

[0110] Failure Indication signaling;

[0111] Handover Report signaling, etc.

[0112] In intelligent wireless network applications, the quality of data will seriously affect the performance of AI algorithms. Missing or damaged data can lead to overfitting of AI models, making it impossible to make accurate predictions and thus reducing the overall performance of the wireless system. In addition, AI models such as deep neural networks and reinforcement learning require continuous datasets with temporal sequence to train stable and reliable AI models. If the sampled data is not continuous or the temporal sequence format is not uniform, it is difficult to extract useful features from the data, resulting in data waste.

[0113] In the above embodiments, the existing MDT mechanism is enhanced by instructing the terminal to continuously collect and record data according to a predetermined configuration without distinguishing the terminal state. When the base station connected to the terminal changes, the enhanced MDT data is transmitted between network interfaces, so that the data collected by the network can be used for traditional network optimization and planning or other network performance analysis. This can match the needs of AI model training, improve the efficiency of AI model training, and thus obtain a stable and reliable AI model, thereby improving the system performance of the intelligent wireless network.

[0114] Figure 3 This invention discloses a flowchart of an MDT measurement and reporting method according to an embodiment of the present invention. Figure 3 As shown in the embodiments of this disclosure, the MDT measurement and reporting method includes the following steps:

[0115] S302, the source base station sends a first RRC signaling containing continuous MDT measurement indication information to at least one selected terminal via the air interface, so as to instruct the terminal to perform corresponding continuous MDT measurements.

[0116] In one embodiment, the terminal receives RRC signaling sent by a network node. The RRC signaling indicates that the terminal needs to report a wireless link failure. The network node includes, but is not limited to, the source base station and the receiving base station.

[0117] In some embodiments, Figure 4 This diagram illustrates a flowchart of a continuous MDT measurement configuration distribution method according to an embodiment of the present disclosure, as follows: Figure 4As shown, the continuous MDT measurement configuration distribution method provided in this embodiment includes the following steps: S402, the AMF distributes the continuous MDT measurement configuration to the base station through the Trace Start process; S404, the base station triggers the terminal to execute the continuous MDT measurement.

[0118] In some embodiments, Figure 5 This invention discloses a flowchart of another continuous MDT measurement configuration distribution method in an embodiment of the present disclosure, as shown below. Figure 5 As shown, the continuous MDT measurement configuration distribution method provided in this embodiment includes the following steps: S502, the EM distributes the continuous MDT measurement configuration to the base station through the Trace Session activation process; S504, the base station triggers the terminal to perform continuous MDT measurement.

[0119] S304, the terminal performs corresponding wireless network measurement and recording work and generates an MDT measurement report based on the continuous MDT configuration in the first RRC signaling received.

[0120] S306 When the terminal meets the reporting conditions, it sends a continuous MDT measurement report to the receiving base station via the second RRC signaling. The measurement report carries relevant information about the source base station, which is the base station identifier or index of the source base station.

[0121] S308, The receiving base station determines whether it is the source base station that triggered this MDT report based on the source base station identifier in the MDT measurement report. If not, then execute S310.

[0122] S310, the receiving base station forwards the continuous MDT measurement report to the source base station via the third RRC signaling, and performs the following steps as needed:

[0123] The source base station uses the collected data to train the AI ​​model;

[0124] The source base station sends the collected data to the core network, Ethernet, or other network element devices for AI model training.

[0125] When using AI algorithms for network-related predictions, such as user trajectory prediction and service traffic prediction, the data used for training the AI ​​algorithms needs to be time-dependent. Taking terminal trajectory prediction as an example, when base stations, Ethernet, core networks, or other network element devices train models based on preset AI algorithms, they need to use the historical location information of the terminal over a period of time as input information. The AI ​​algorithm captures the implicit correlations in these input information through training, and then predicts the location of the terminal at the next moment. The embodiments of this disclosure can train a stable and reliable AI model based on the time-series and continuous data collected by the configuration, regardless of the terminal state.

[0126] In the above embodiments, indication information is added to the MDT configuration to instruct the terminal to perform a continuous MDT process, as well as related information such as the MDT measurement cycle, MDT measurement frequency, measurement duration, and whether a timestamp is required. That is, regardless of whether the terminal is in the Idle, Inactive, or Connected state, the terminal must continuously collect and record relevant information according to the information collection content and format specified in the indication information, thereby improving the quality of the dataset collected by the network. In addition, it supports the base station to forward the MDT measurement report when necessary, helping the intelligent wireless network to obtain data sources that meet the needs of AI training, thereby improving the efficiency and accuracy of wireless AI model training and meeting the needs of wireless AI model training.

[0127] Figure 6 This invention discloses a flowchart of another MDT measurement and reporting method in an embodiment of the present invention, as shown below. Figure 6 As shown in the embodiments of this disclosure, the MDT measurement and reporting method includes the following steps:

[0128] S602, when the terminal is in the Connected state, it receives the first RRC signaling containing continuous MDT measurement indication information sent by the source base station to instruct the terminal to perform corresponding continuous MDT measurements.

[0129] S604, the terminal performs corresponding wireless network measurement and recording work and generates an MDT measurement report based on the continuous MDT configuration in the first RRC signaling received.

[0130] S606: When the terminal executes a continuous MDT measurement report, an RRC status change occurs. The terminal needs to perform the corresponding wireless network measurement and recording work according to the continuous MDT configuration to generate an MDT measurement report.

[0131] RRC state changes include:

[0132] The state transitions from Connected to Idle or Inactive.

[0133] Transition from Idle state to Connected state;

[0134] Alternatively, it can transition from the Inactive state to the Connected state.

[0135] S608, when the terminal enters the Connected state, the terminal reconnects to the receiving base station.

[0136] S610, the terminal identification meets the reporting conditions.

[0137] S612, the terminal sends a continuous MDT measurement report to the receiving base station via the second RRC signaling. The measurement report carries relevant information about the source base station, which is the base station identifier or index of the source base station.

[0138] S614, the receiving base station determines that it is the source base station that triggered this MDT report based on the source base station identifier in the MDT measurement report.

[0139] S616, the receiving base station forwards the continuous MDT measurement report to the source base station through the third RRC signaling.

[0140] S618: The source base station uses the collected data to train AI models, or sends the collected data to the core network, Ethernet, or other network element devices for AI model training.

[0141] S620, the terminal releases the current continuous MDT configuration.

[0142] In the above embodiments, the existing MDT mechanism is enhanced by instructing the terminal to continuously collect and record data according to a predetermined configuration without distinguishing the terminal state. When the base station connected to the terminal changes, the enhanced MDT data is transmitted between network interfaces, so that the data collected by the network can be used for traditional network optimization and planning or other network performance analysis. This can match the needs of AI model training, improve the efficiency of AI model training, and thus obtain a stable and reliable AI model, thereby improving the system performance of the intelligent wireless network.

[0143] Figure 7 This invention discloses a flowchart of another MDT measurement and reporting method in an embodiment of the present invention, as shown below. Figure 7 As shown in the embodiments of this disclosure, the MDT measurement and reporting method includes the following steps:

[0144] S702, when the terminal is in the Connected state, it receives the first RRC signaling containing continuous MDT measurement indication information sent by the source base station to instruct the terminal to perform corresponding continuous MDT measurements.

[0145] S704, the terminal performs corresponding wireless network measurement and recording work and generates an MDT measurement report based on the continuous MDT configuration in the first RRC signaling received.

[0146] S706: When the terminal executes a continuous MDT measurement report, an RRC status change occurs. The terminal needs to perform the corresponding wireless network measurement and recording work according to the continuous MDT configuration to generate an MDT measurement report.

[0147] RRC state changes include:

[0148] The state transitions from Connected to Idle or Inactive.

[0149] Transition from Idle state to Connected state;

[0150] Or it may transition from the Inactive state to the Connected state;

[0151] S708, when the terminal enters the Connected state, the terminal connects to the source base station.

[0152] S710, the terminal identification meets the reporting conditions.

[0153] S712, the terminal sends a continuous MDT measurement report to the source base station via the second RRC signaling. The measurement report carries relevant information about the source base station, which is the base station identifier or index of the source base station.

[0154] S714, the source base station determines that it is the source base station that triggered this MDT report based on the source base station identifier in the MDT measurement report.

[0155] S716: The source base station uses the collected data to train AI models, or sends the collected data to the core network, Ethernet, or other network element devices for AI model training.

[0156] S718, the terminal releases the current continuous MDT configuration.

[0157] In the above embodiments, the existing MDT mechanism is enhanced by instructing the terminal to continuously collect and record data according to a predetermined configuration without distinguishing the terminal state. When the base station connected to the terminal changes, the enhanced MDT data is transmitted between network interfaces, so that the data collected by the network can be used for traditional network optimization and planning or other network performance analysis. This can match the needs of AI model training, improve the efficiency of AI model training, and thus obtain a stable and reliable AI model, thereby improving the system performance of the intelligent wireless network.

[0158] Based on the same inventive concept, this disclosure also provides an MDT measurement and reporting device, as shown in the following embodiment. Since the principle by which this device embodiment solves the problem is similar to that of the above-described method embodiment, the implementation of this device embodiment can refer to the implementation of the above-described method embodiment, and repeated details will not be described again.

[0159] Figure 8 This diagram illustrates an MDT measurement and reporting device according to an embodiment of the present disclosure. Figure 8 As shown, the MDT measurement and reporting device 8 includes: a measurement signaling receiving module 801 and a measurement report generation module 802;

[0160] The measurement signaling receiving module 801 receives the first signaling sent by the source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurement.

[0161] The measurement report generation module 802 performs continuous MDT measurement and generates an MDT measurement report according to the first signaling.

[0162] In the above embodiments, the existing MDT mechanism is enhanced, enabling the network to continuously collect measurement and user-related data from the terminal side based on configuration, regardless of the terminal status. When necessary, the collected MDT data is transmitted between network interfaces. This MDT data is used for traditional network optimization and planning, or other network performance analysis, such as AI model training and subsequent intelligent wireless network applications. This effectively solves the problem of discontinuous data collection in existing networks, improves the completeness of datasets used for AI model training in wireless AI scenarios, thereby improving wireless AI training efficiency and ensuring the accuracy of wireless AI algorithm predictions.

[0163] Figure 9 A schematic diagram of an exemplary system architecture that can be applied to the MDT measurement and reporting method or MDT measurement and reporting apparatus in embodiments of this disclosure is shown.

[0164] like Figure 9 As shown, the system architecture 900 may include terminal devices 901, 902, and 903, a network 904, and a server 905.

[0165] Network 904 is a medium used to provide a communication link between terminal devices 901, 902, 903 and server 905.

[0166] Optionally, the network 904 described above uses standard communication technologies and / or protocols. In some embodiments, technologies and / or formats including Hyper Text Markup Language (HTML), Extensible Markup Language (XML), etc., are used to represent data exchanged over the network. Furthermore, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), and Internet Protocol Security (IPsec) can be used to encrypt all or some links. In other embodiments, custom and / or dedicated data communication technologies can be used to replace or supplement the aforementioned data communication technologies.

[0167] Terminal devices 901, 902, and 903 can be various electronic devices, including but not limited to smartphones, tablets, laptops, desktop computers, wearable devices, augmented reality devices, virtual reality devices, etc.

[0168] Optionally, the client applications installed on different terminal devices 901, 902, and 903 may be the same, or clients of the same type of application based on different operating systems. Depending on the terminal platform, the specific form of the application client may also differ; for example, the application client may be a mobile client, a PC client, etc.

[0169] Server 905 can be a server that provides various services, such as a backend management server that supports the devices operated by users using terminal devices 901, 902, and 903. The backend management server can analyze and process received requests and other data, and then feed the processing results back to the terminal devices.

[0170] Optionally, the server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. The terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. The terminal and server can be directly or indirectly connected via wired or wireless communication, which is not limited herein.

[0171] Those skilled in the art will know that Figure 9 The number of terminal devices, networks, and servers shown is merely illustrative; any number of terminal devices, networks, and servers can be included depending on actual needs. This disclosure does not limit the scope of the embodiments.

[0172] Those skilled in the art will understand that various aspects of this disclosure can be implemented as a system, method, or program product. Therefore, various aspects of this disclosure can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0173] The following reference Figure 10 To describe an electronic device 1000 according to such an embodiment of the present disclosure. Figure 10The electronic device 1000 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0174] like Figure 10 As shown, the electronic device 1000 is manifested in the form of a general-purpose computing device. The components of the electronic device 1000 may include, but are not limited to: at least one processing unit 1010, at least one storage unit 1020, and a bus 1030 connecting different system components (including storage unit 1020 and processing unit 1010).

[0175] The storage unit stores program code that can be executed by the processing unit 1010, causing the processing unit 1010 to perform the steps described in the "Exemplary Methods" section above according to various exemplary embodiments of this disclosure.

[0176] For example, the processing unit 1010 can execute the following steps of the above method embodiment: The terminal receives a first signaling sent by the source base station. The first signaling includes continuous MDT measurement indication information, continuous MDT measurement period, continuous MDT measurement frequency, continuous MDT measurement duration, or indication information on whether it is necessary to record the timestamp of the measurement parameters, etc., and performs continuous MDT measurement according to the first signaling without being affected by the terminal state to generate an MDT measurement report. When the reporting conditions are met, the MDT measurement report is sent to the source base station so that the source base station can apply the MDT measurement report.

[0177] For example, the processing unit 1010 can execute the following steps of the above method embodiment: when the terminal is in the Connected state, it receives a first RRC signaling containing continuous MDT measurement indication information sent by the source base station to instruct the terminal to perform corresponding continuous MDT measurements; the terminal performs corresponding wireless network measurement and recording work based on the continuous MDT configuration in the received first RRC signaling to generate an MDT measurement report; when the terminal undergoes an RRC state change (such as changing from the Connected state to the Idle state or the Inactive state, or changing from the Idle state or the Inactive state to the Connected state), it continues to perform corresponding wireless network measurement and recording work based on the continuous MDT configuration to generate an MDT measurement report; when the terminal enters the Connected state, the terminal reconnects to the receiving base station.

[0178] For example, the processing unit 1010 can execute the following steps in the above method embodiment: the terminal identifies that the reporting conditions are met; the terminal sends a continuous MDT measurement report to the receiving base station via a second RRC signaling, wherein the measurement report carries relevant information of the source base station, and the relevant information of the source base station is the base station identifier or index of the source base station; the receiving base station determines that it is the source base station that triggered this MDT reporting based on the source base station identifier in the MDT measurement report; the receiving base station forwards the continuous MDT measurement report to the source base station via a third RRC signaling; the source base station uses the collected data to train an AI model, or sends the collected data to the core network, Ethernet or other network element devices for AI model training; the terminal releases the configuration for this continuous MDT.

[0179] Storage unit 1020 may include readable media in the form of volatile storage units, such as random access memory (RAM) 10201 and / or cache memory 10202, and may further include read-only memory (ROM) 10203.

[0180] Storage unit 1020 may also include a program / utility 10204 having a set (at least one) program module 10205, such program module 10205 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0181] Bus 1030 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0182] The electronic device 1000 can also communicate with one or more external devices 1040 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with the electronic device 1000, and / or with any device that enables the electronic device 1000 to communicate with one or more other computing devices (e.g., router, modem, etc.). Such communication can be performed through the input / output (I / O) interface 1050.

[0183] Furthermore, the electronic device 1000 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via the network adapter 1060. As shown in the figure, the network adapter 1060 communicates with other modules of the electronic device 1000 via the bus 1030. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0184] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0185] In exemplary embodiments of this disclosure, a computer-readable storage medium is also provided, which may be a readable signal medium or a readable storage medium. A program product capable of implementing the methods described above is stored thereon. In some possible implementations, various aspects of this disclosure may also be implemented as a program product including program code, which, when run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure.

[0186] For example, when the program product in this embodiment is executed by the processor, it implements the following steps: When the terminal is in the Connected state, it receives a first RRC signaling containing continuous MDT measurement indication information sent by the source base station to instruct the terminal to perform corresponding continuous MDT measurements; the terminal performs corresponding wireless network measurement and recording work based on the continuous MDT configuration in the received first RRC signaling to generate an MDT measurement report; the terminal transitions from the Connected state to the Idle state or the Inactive state and continues to perform corresponding wireless network measurement and recording work to generate an MDT measurement report according to the continuous MDT configuration; when the terminal enters the Connected state, the terminal reconnects to the receiving base station.

[0187] The terminal identifies that the reporting conditions are met; the terminal sends a continuous MDT measurement report to the receiving base station via the second RRC signaling, in which the measurement report carries relevant information about the source base station, which is the base station identifier or index of the source base station; the receiving base station determines that it is the source base station that triggered this MDT reporting based on the source base station identifier in the MDT measurement report; the receiving base station forwards the continuous MDT measurement report to the source base station via the third RRC signaling; the source base station uses the collected data for AI model training, or sends the collected data to the core network, Ethernet or other network element devices for AI model training; the terminal releases the configuration for this continuous MDT.

[0188] More specific examples of computer-readable storage media in this disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0189] In this disclosure, a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of transmitting, propagating, or transmitting a program for use by or in connection with an instruction execution system, apparatus, or device.

[0190] Optionally, the program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0191] In practical implementation, program code for performing the operations of this disclosure can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0192] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0193] Furthermore, although the steps of the method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0194] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, mobile terminal, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0195] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

Claims

1. A method for MDT measurement and reporting, characterized in that, Applied to terminals, including: The terminal receives a first signaling sent by the source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurements. Continuous MDT measurements are performed and an MDT measurement report is generated based on the first signaling; The first signaling includes at least one of the following: Continuous MDT measurement indication information; Continuous MDT measurement cycle; Continuous MDT measurement frequency; Continuous MDT measurement duration; Is it necessary to record the timestamp information of the measurement parameters? The MDT measurement report includes source base station information; the method further includes: When the reporting conditions are met, the MDT measurement report is directly reported to the source base station or forwarded to the source base station through the receiving base station, so that the source base station can apply the MDT measurement report; The step of generating an MDT measurement report by performing continuous MDT measurement according to the first signaling includes: when the terminal undergoes an RRC status change during the execution of continuous MDT measurement, it continues to perform continuous MDT measurement and generate an MDT measurement report according to the continuous MDT configuration.

2. The MDT measurement and reporting method according to claim 1, characterized in that, The step of sending the MDT measurement report to the source base station when the reporting conditions are met, so that the source base station can apply the MDT measurement report, includes: When the reporting conditions are met, the MDT measurement report is reported to the receiving base station via the second signaling, wherein the source base station information is the base station identifier or index of the source base station; When the receiving base station determines that it is the source base station based on the MDT measurement report, the MDT measurement report is applied.

3. The MDT measurement and reporting method according to claim 1, characterized in that, The step of sending the MDT measurement report to the source base station when the reporting conditions are met, so that the source base station can apply the MDT measurement report, includes: When the receiving base station determines that it is not the source base station based on the MDT measurement report, it sends the MDT measurement report to the source base station via third signaling so that the source base station can apply the MDT measurement report.

4. The MDT measurement and reporting method according to claim 1, characterized in that, Also includes: The Access and Mobility Management Function (AMF) or Operations Management and Maintenance (OAM) element distributes the continuous MDT measurement configuration to the source base station.

5. The MDT measurement and reporting method according to claim 1, characterized in that, Also includes: The receiving base station sends the MDT measurement report to the functional network element so that the functional network element can apply the MDT measurement report.

6. The MDT measurement and reporting method according to claim 1, characterized in that, The source base station has a centralized unit and a distributed unit separate architecture. The centralized unit of the source base station needs to send continuous MDT measurement configuration to the distributed unit of the source base station through F1 interface signaling.

7. The MDT measurement and reporting method according to claim 1, characterized in that, The source base station has a control plane and user plane separation architecture. The control plane of the centralized unit of the source base station sends continuous MDT measurement configuration to the data plane of the centralized unit of the source base station through E1 interface signaling.

8. The MDT measurement and reporting method according to claim 1, characterized in that, The first signaling is Radio Resource Control (RRC) signaling, and the first signaling is at least one of the following signaling types: Recorded measurement configuration; Measurement configuration; Continuous measurement configuration.

9. The MDT measurement and reporting method according to claim 2, characterized in that, The second signaling is RRC signaling, and the second signaling is at least one of the following signaling types: Measurement report; MDT report; Continuous measurement report; Continuous MDT reports.

10. The MDT measurement and reporting method according to claim 3, characterized in that, The third signaling is Xn / X2 interface signaling, and the Xn / X2 interface signaling is at least one of the following signaling types: Access and mobility indication signaling; Failure indication signaling; Switch report signaling.

11. An MDT measurement and reporting device, characterized in that, include: The measurement signaling receiving module receives a first signaling sent by the source base station, wherein the first signaling instructs the terminal to perform continuous minimized drive test (MDT) measurement; The measurement report generation module performs continuous MDT measurements and generates an MDT measurement report based on the first signaling. The MDT measurement report includes source base station information; the measurement report generation module is also used to: when the reporting conditions are met, directly report the MDT measurement report to the source base station or forward it to the source base station through the receiving base station, so that the source base station can apply the MDT measurement report; The first signaling includes at least one of the following: Continuous MDT measurement indication information; Continuous MDT measurement cycle; Continuous MDT measurement frequency; Continuous MDT measurement duration; Is it necessary to record the timestamp information of the measurement parameters? The measurement report generation module is further configured to: when the terminal undergoes an RRC state change during continuous MDT measurement, continue to perform continuous MDT measurement and generate an MDT measurement report according to the continuous MDT configuration.

12. An electronic device, characterized in that, include: processor; as well as Memory for storing the executable instructions of the processor; The processor is configured to execute the MDT measurement and reporting method of any one of claims 1 to 10 by executing the executable instructions.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the MDT measurement and reporting method according to any one of claims 1 to 10.

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