Packet loss location method and device, storage medium, and electronic device

Abstract

The present disclosure belongs to the field of network communication technology, and relates to a packet loss location method and device, a storage medium, and an electronic device. The method includes: determining a poor quality cell where data packet loss occurs and a standard cell corresponding to the poor quality cell, and determining the management indicator corresponding to the poor quality cell according to the data packet loss situation; obtaining the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determining the indicator threshold of the management indicator according to the standard indicator information; if the poor quality indicator information does not meet the indicator threshold, it is determined that there is data packet loss caused by the management indicator in the poor quality cell. The present disclosure can more comprehensively determine the wireless side problems that cause data packet loss, and the determination method is accurate and effective, which improves the optimization efficiency of front-line network maintenance personnel, so as to quickly solve the pain points of users using the network, further improve user perception and usage experience, and the solution is simple and efficient, meeting the usage needs of actual scenarios.

Description

Technical Field

[0001] The present disclosure relates to the field of network communication technology, and in particular to a packet loss location method and device, a computer-readable storage medium, and an electronic device. Background Art

[0002] VoLTE (Voice over LTE, Voice over Long-Term Evolution) is an end-to-end voice solution based on all-IP (Internet Protocol) conditions on the 4G network, which can unify data and voice services on the same network. With the advent of the 5G era, considering the continuity of voice services, VoLTE is still an indispensable voice solution, so its perception directly determines the user's evaluation of the telecommunications network, and the VoLTE voice packet loss rate is one of the important indicators that affect the user's call perception. Air interface packet loss will cause the loss of RTP (Real-time Transport Protocol) packets, resulting in problems such as swallowing, intermittent, and single-pass in VoLTE services, affecting the user experience. In order to ensure user perception, voice packet loss should be minimized to the greatest extent possible. Therefore, the optimization of high packet loss cells has also become an important task.

[0003] However, due to the complex network structure and service processes of VoLTE, it is difficult to quickly locate problems. The optimization of cells with high packet loss requires finding and locating the root cause of the problem from a variety of indicators based on daily experience, which is time-consuming and labor-intensive, greatly reducing the efficiency of daily optimization work.

[0004] In view of this, there is an urgent need in the art to develop a new packet loss location method and device.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] The purpose of the present disclosure is to provide a packet loss location method, a packet loss location device, a computer-readable storage medium and an electronic device, thereby overcoming the technical problems of low efficiency and low accuracy of packet loss location caused by the limitations of related technologies to at least a certain extent.

[0007] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.

[0008] According to a first aspect of an embodiment of the present invention, a packet loss location method is provided, the method comprising: determining a poor quality cell where data packet loss occurs and a standard cell corresponding to the poor quality cell, and determining a management indicator corresponding to the poor quality cell according to the data packet loss situation;

[0009] Acquire the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information;

[0010] If the poor quality indicator information does not meet the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by the management indicator.

[0011] In an exemplary embodiment of the present invention, determining the management indicator corresponding to the poor quality cell according to the data packet loss situation includes:

[0012] Determine a primary indicator corresponding to the poor quality cell according to the data packet loss situation;

[0013] The data packet loss situation and the primary indicators are correlated and analyzed using the Pearson correlation coefficient method to determine the management indicator from the primary indicators.

[0014] In an exemplary embodiment of the present invention, determining the indicator threshold of the management indicator according to the standard indicator information includes:

[0015] Determining interval distribution information of the standard indicator information, and determining a distribution threshold corresponding to the interval distribution information;

[0016] Based on the interval distribution information, an indicator threshold of the management indicator is determined according to the distribution threshold.

[0017] In an exemplary embodiment of the present invention, if the poor quality indicator information does not meet the indicator threshold, determining that the poor quality cell has the data packet loss situation caused by the management indicator includes:

[0018] Performing an alarm query on the poor quality cell to determine an alarm query result;

[0019] Based on the alarm query result, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result;

[0020] If the threshold determination result is that the poor quality indicator information does not meet the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by the management indicator.

[0021] In an exemplary embodiment of the present invention, the step of performing threshold determination processing on the quality difference indicator information based on the alarm query result to obtain a threshold determination result includes:

[0022] If the alarm query result is that there is no alarm situation, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

[0023] In an exemplary embodiment of the present invention, the step of performing threshold determination processing on the quality difference indicator information to obtain a threshold determination result includes:

[0024] If the alarm query result indicates that an alarm situation exists, performing alarm elimination processing on the existing alarm situation to obtain an elimination processing result;

[0025] If the elimination processing result is that the existing alarm situation has been eliminated but the data packet loss situation has not been resolved, a threshold determination process is performed on the quality difference indicator information to obtain a threshold determination result.

[0026] In an exemplary embodiment of the present invention, after performing threshold determination processing on the quality difference indicator information to obtain a threshold determination result, the method further includes:

[0027] If the threshold determination result is that the poor quality indicator information meets the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by other indicators.

[0028] According to a second aspect of an embodiment of the present invention, a packet loss location device is provided, the device comprising: an indicator determination module, configured to determine a poor quality cell where data packet loss occurs and a standard cell corresponding to the poor quality cell, and determine a management indicator corresponding to the poor quality cell according to the data packet loss situation;

[0029] A threshold determination module is configured to obtain the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information;

[0030] The packet loss locating module is configured to determine that the poor quality cell has the data packet loss situation caused by the management indicator if the poor quality indicator information does not meet the indicator threshold.

[0031] According to a third aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor and a memory; wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the packet loss location method in any of the above exemplary embodiments is implemented.

[0032] According to a fourth aspect of an embodiment of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the packet loss location method in any of the above exemplary embodiments is implemented.

[0033] It can be seen from the above technical solutions that the packet loss location method, packet loss location device, computer storage medium and electronic device in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:

[0034] In the method and device provided by the exemplary embodiments of the present disclosure, the types of management indicators determined according to the data packet loss situation are comprehensive and complete, and the wireless side problems that cause the data packet loss situation can be more comprehensively determined. The determination method is accurate and effective, which improves the optimization efficiency of front-line network maintenance personnel, so as to quickly solve the pain points of users using the network and further improve user perception and usage experience. In addition, the main body of the data packet loss situation is determined to be the cell, rather than the problem demarcation of a single user. The location and solution of the data packet loss situation are more targeted, and the data packet loss problem can be directly and effectively solved. The solution is simple and efficient, meeting the use requirements of actual scenarios.

[0035] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0037] Figure 1 A schematic diagram schematically illustrates a flow chart of a packet loss location method in an exemplary embodiment of the present disclosure;

[0038] Figure 2 A flowchart schematically illustrating a method for determining a management indicator in an exemplary embodiment of the present disclosure;

[0039] Figure 3 A schematic diagram schematically illustrates the content of management indicators in an exemplary embodiment of the present disclosure;

[0040] Figure 4 A schematic diagram schematically illustrates a flow chart of a method for determining an indicator threshold in an exemplary embodiment of the present disclosure;

[0041] Figure 5 A flowchart schematically illustrates a method for determining a management indicator causing a data packet loss situation in an exemplary embodiment of the present disclosure;

[0042] Figure 6 A schematic flow chart of a method for performing threshold determination processing according to an alarm query result in an exemplary embodiment of the present disclosure is schematically shown;

[0043] Figure 7 A schematic diagram schematically illustrates a flow chart of a packet loss location method in an application scenario in an exemplary embodiment of the present disclosure;

[0044] Figure 8 A schematic diagram of an interface of a base station layer of a poor quality cell in an exemplary embodiment of the present disclosure is schematically shown;

[0045] Fig. 9 A schematic diagram of an interface for solving a data packet loss situation corresponding to a management indicator in an exemplary embodiment of the present disclosure is schematically shown;

[0046] Fig.10 An interface diagram schematically showing the change of RSRP before and after adjustment in an exemplary embodiment of the present disclosure;

[0047] Fig.11 An interface diagram schematically showing SINR changes before and after adjustment in an exemplary embodiment of the present disclosure;

[0048] Fig.12 A schematic diagram of the structure of a packet loss location device in an exemplary embodiment of the present disclosure is schematically shown;

[0049] Fig.13 An electronic device for implementing a packet loss location method in an exemplary embodiment of the present disclosure is schematically shown;

[0050] Fig.14 A computer-readable storage medium for implementing a packet loss location method in an exemplary embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0052] The terms "a", "an", "the" and "said" are used in this specification to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express an open-ended inclusion and mean that additional elements / components / etc. may exist in addition to the listed elements / components / etc.; the terms "first" and "second" etc. are used only as labels and are not intended to limit the quantity of their objects.

[0053] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and their repeated descriptions will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities.

[0054] Typically, VoLTE call quality issues can be automatically demarcated based on XDR-correlated call records.

[0055] Specifically, the user plane call record and control plane call record of the VoLTE call process are obtained through DPI (Deep Packet Inspection) technology, and the two are associated to obtain XDR (Detailed Record) associated call records to evaluate the call quality. When the call quality is poor, a step-by-step judgment is made based on the call problem type and the user plane data and control plane data in the XDR associated call record, and the cause of the poor call quality is finally located.

[0056] However, this automatic demarcation method only demarcates the call quality problems for a single user, and does not mention the location method of the cell-level call quality problems, and cannot optimize the voice quality problems in batches. At the same time, the analysis process based on XDR call records is relatively lengthy and complicated, which is not conducive to quickly locating the problem.

[0057] In addition, VoLTE packet loss analysis can also be performed based on the measurement report.

[0058] Specifically, based on the five parameters of user identification, UE receiving power, neighboring cell receiving power, UE transmitting power margin, and uplink signal-to-noise ratio in the original sample measurement report data (involving three types of evaluation indicators: switching, interference, and coverage), the wireless side problem of VoLTE voice packet loss is determined and located.

[0059] However, this analysis method only conducts correlation analysis on the wireless side causes of VoLTE packet loss based on three indicators: switching, interference, and coverage. It involves fewer types and contains relatively simple evaluation indicators (only 5 relevant parameters), and fails to systematically and comprehensively locate other potential wireless side problems.

[0060] In view of the problems existing in the related technologies, the present invention proposes a packet loss location method. Figure 1 A flow chart of a packet loss location method is shown. Figure 1 As shown, the packet loss location method includes at least the following steps:

[0061] Step S110: Determine the poor-quality cells where data packet loss occurs and the standard cells corresponding to the poor-quality cells, and determine the management indicators corresponding to the poor-quality cells according to the data packet loss situation.

[0062] Step S120: Obtain the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information.

[0063] Step S130: If the poor quality indicator information does not meet the indicator threshold, it is determined that there is data packet loss in the poor quality cell caused by the management indicator.

[0064] In the exemplary embodiments of the present disclosure, the types of management indicators determined according to the data packet loss situation are comprehensive and complete, and the wireless side problems that cause the data packet loss situation can be more comprehensively determined. The determination method is accurate and effective, which improves the optimization efficiency of front-line network maintenance personnel, so as to quickly solve the pain points of users using the network and further improve user perception and usage experience. In addition, the main body of the data packet loss situation is determined to be the cell, rather than the problem demarcation of a single user. The location and solution of the data packet loss situation are more targeted, and the data packet loss problem can be directly and effectively solved. The solution is simple and efficient, meeting the use requirements of actual scenarios.

[0065] The following describes in detail the steps of the packet loss location method.

[0066] In step S110, the poor-quality cell where data packet loss occurs and the standard cell corresponding to the poor-quality cell are determined, and the management indicator corresponding to the poor-quality cell is determined according to the data packet loss situation.

[0067] In an exemplary embodiment of the present disclosure, the poor quality cell where data packet loss occurs can be a cell in which the VoLTE voice uplink packet loss rate or downlink packet loss rate during busy hours is greater than 1.5% for four days in a week, and the number of uplink or downlink user plane traffic packets at the PDCP (Packet Data Convergence Protocol) layer is greater than 9000.

[0068] The standard cell may be a cell that screens out 80,000 VoLTE voice calls with a duration of not less than 60,000 ms and that does not meet the criteria for determining a poor quality cell.

[0069] In an alternative embodiment, Figure 2A flow chart showing a method for determining management indicators is shown, Figure 2 As shown, the method includes at least the following steps: In step S210, a primary indicator corresponding to a poor quality cell is determined according to the data packet loss situation.

[0070] According to the four types of indicators, namely, access and retention, load, coverage and interference, primary indicators having a certain correlation with the poor quality indicator information of the poor quality cell are determined.

[0071] Specifically, the primary indicators are shown in Table (1):

[0072]

[0073] Table (1)

[0074] As shown in Table (1), there can be 62 primary indicators as objects for further correlation analysis.

[0075] In step S220, the data packet loss situation and the primary indicators are correlated and analyzed using the Pearson correlation coefficient method to determine the management indicator from the primary indicators.

[0076] Pearson correlation, also known as product-moment correlation (or product-moment correlation), is a method for calculating linear correlation proposed by British statistician Pearson in the 20th century. The correlation coefficient is defined only when the standard deviations of the two variables are not zero. The Pearson correlation coefficient is applicable to three situations: (1) the two variables are linearly related and are continuous data; (2) the populations of the two variables are normally distributed or unimodally distributed close to normal; and (3) the observations of the two variables are paired, and each pair of observations is independent of each other.

[0077] Specifically, the Pearson correlation coefficient method can be used to calculate the packet loss rate of the poor quality cell and the standard deviation between the primary indicators and other parameters for correlation analysis and processing, so as to determine 15 management indicators from the 62 primary indicators.

[0078] Figure 3 A schematic diagram showing the content of management indicators is shown, such as Figure 3 As shown, the 15 management indicators include VoLTE voice ERAB establishment success rate, VoLTE voice wireless connection rate, VoLTE voice same-frequency switching success rate, VoLTE voice inter-frequency switching success rate, QCI1 reconstruction ratio, VoLTE voice drop rate, ERAB abnormal release ratio of voice services caused by wireless side problems, uplink PRB utilization, downlink PRB utilization, RRC maximum number of connected users, MR excellent rate, CQI excellent ratio, 4G down-cutting to 3G ratio, average RSSI and RSSI at 4 am.

[0079] Among them, VoLTE voice ERAB establishment success rate, VoLTE voice wireless connection rate, VoLTE voice same-frequency switching success rate, VoLTE voice inter-frequency switching success rate, QCI1 reconstruction ratio, VoLTE voice drop rate, and the proportion of abnormal ERAB release of voice services caused by wireless side problems belong to access and retention indicators; uplink PRB utilization rate, downlink PRB utilization rate, and the maximum number of RRC connected users belong to load indicators; MR excellent rate, CQI excellent ratio, and 4G down-cutting 3G ratio belong to coverage indicators; average RSSI and RSSI at 4 am belong to interference indicators.

[0080] In this exemplary embodiment, correlation analysis of primary indicators using the Pearson correlation coefficient method can determine management indicators on the wireless side that have a strong correlation with the packet loss rate. The determination method is simple and accurate, and provides a data basis for indicator positioning of data packet loss situations.

[0081] In step S120, poor quality indicator information of the poor quality cell and standard indicator information of the standard cell are obtained according to the management indicator, and the indicator threshold of the management indicator is determined according to the standard indicator information.

[0082] In an exemplary embodiment of the present disclosure, after obtaining the management indicator, poor quality indicator information corresponding to the poor quality cell and the management indicator can be further obtained, and standard indicator information corresponding to the standard cell and the management indicator can be obtained.

[0083] In an alternative embodiment, Figure 4 A flow chart of a method for determining an indicator threshold is shown, such as Figure 4 As shown, the method at least includes the following steps: In step S410, interval distribution information of standard indicator information is determined, and a distribution threshold corresponding to the interval distribution information is determined.

[0084] For the 15 standard indicator information, the interval distribution of the standard indicator information is statistically obtained to obtain the interval distribution information. Further, a distribution threshold corresponding to the interval distribution information can also be determined. Generally, the distribution threshold can be 80%, or other values ​​can be set according to actual conditions, and this exemplary embodiment does not make special restrictions on this.

[0085] In step S420, based on the interval distribution information, an indicator threshold of the management indicator is determined according to the distribution threshold.

[0086] According to the principle of not less than 80%, the threshold values ​​of various management indicators in different frequency bands and different equipment manufacturers can be determined from the interval distribution information.

[0087] Specifically, Table 2 shows the 1.8 / 2.1G frequency band management indicators and their corresponding indicator thresholds:

[0088]

[0089] Table (2)

[0090] For example, when a management indicator corresponding to a standard cell, such as a VoLTE voice ERAB establishment success rate of more than 80%, falls within the interval of (99%, 100%], 99% can be determined as the indicator threshold of the VoLTE voice ERAB establishment success rate. In addition, the indicator thresholds of other management indicators are determined in a similar manner.

[0091] Furthermore, Table 3 shows the 800M frequency band management indicators and their corresponding indicator thresholds:

[0092]

[0093] Table (3)

[0094] In this exemplary embodiment, based on the interval distribution information of the standard indicator information of the standard cell of the non-high packet loss cell with a certain voice duration, the indicator thresholds of various management indicators in different equipment manufacturers' areas under different frequency bands can be determined. The determination method is simple and accurate, and can provide a data basis and theoretical basis for quickly locating the management indicators that cause data packet loss.

[0095] In step S130, if the poor quality indicator information does not meet the indicator threshold, it is determined that there is data packet loss in the poor quality cell caused by the management indicator.

[0096] In an exemplary embodiment of the present disclosure, after determining the poor quality indicator information and the indicator threshold, the management indicator causing the data packet loss in the poor quality cell can be determined according to the poor quality indicator information and the indicator threshold.

[0097] In an alternative embodiment, Figure 5 A flow chart of a method for determining a management indicator causing data packet loss is shown, such as Figure 5 As shown, the method at least includes the following steps: In step S510, an alarm situation query is performed on the poor quality cell to determine the alarm query result.

[0098] For VoLTE cells with high packet loss and poor quality, you can first check the alarm status of the device to obtain the alarm query results.

[0099] In step S520, based on the alarm query result, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

[0100] In an optional embodiment, if the alarm query result is that there is no alarm situation, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

[0101] When there is no alarm in the equipment of the poor quality cell, it can be determined that the alarm query result is that there is no alarm, and the threshold determination processing can be directly performed on the poor quality indicator information.

[0102] Specifically, the threshold determination process may be to compare the quality difference indicator information corresponding to the 15 management indicators with the indicator thresholds respectively to obtain the threshold determination result.

[0103] In an alternative embodiment, Figure 6 A flow chart of a method for performing threshold determination processing according to an alarm query result is shown, Figure 6 As shown, the method at least includes the following steps: In step S610, if the alarm query result is that an alarm situation exists, an alarm elimination process is performed on the existing alarm situation to obtain an elimination process result.

[0104] When an alarm occurs in the equipment of the poor quality cell, it can be determined that the alarm query result indicates that an alarm occurs.

[0105] When an alarm occurs, it can be transferred to the maintenance personnel for alarm elimination processing to obtain the elimination processing result.

[0106] In step S620, if the elimination processing result is that the existing alarm situation has been eliminated but the data packet loss situation has not been resolved, a threshold determination process is performed on the quality difference indicator information to obtain a threshold determination result.

[0107] After the maintenance personnel solve the existing alarm situation, the alarm situation has been eliminated, but the data packet loss situation has not been solved. Therefore, the threshold determination processing is further performed on the quality difference indicator information.

[0108] Specifically, the threshold determination process may be to compare the quality difference indicator information corresponding to the 15 management indicators with the indicator thresholds respectively to obtain the threshold determination result.

[0109] In this exemplary embodiment, when an alarm situation exists, the alarm clearing process can be prioritized to determine whether to perform threshold determination processing. The judgment logic is rigorous and careful, avoiding the high computational costs and complex manual processing procedures caused by imperfect alarm situation processing, and improving the efficiency and speed of packet loss location to a certain extent.

[0110] In step S530, if the threshold determination result is that the poor quality indicator information does not meet the indicator threshold, it is determined that there is data packet loss in the poor quality cell caused by the management indicator.

[0111] After obtaining the threshold judgment results under different alarm query results, it can be obtained that one or more poor quality indicator information is worse than the corresponding indicator threshold, that is, the poor quality indicator information does not meet the indicator threshold. Therefore, it can be determined that the one or more management indicators are the management indicators that cause data packet loss in the poor quality cell.

[0112] Furthermore, the data packet loss situation can be fed back to the indicator type optimization personnel corresponding to the management indicator, so that the optimization personnel can handle and solve the data packet loss situation.

[0113] In this exemplary embodiment, by querying the alarm status of poor quality cells and performing threshold determination processing on poor quality indicator information, the management indicators that cause data packet loss in poor quality cells are determined, the optimization efficiency of maintenance personnel is improved, and the packet loss rate of poor quality cells is effectively reduced, so as to quickly resolve users' network usage pain points and thereby enhance user perception and usage experience.

[0114] In an optional embodiment, if the threshold determination result is that the poor quality indicator information meets the indicator threshold, it is determined that there is data packet loss caused by other indicators in the poor quality cell.

[0115] When the threshold determination results are obtained under different alarm query results, the threshold determination results that all 15 management indicators meet the corresponding indicator thresholds can also be obtained.

[0116] Furthermore, since all 15 management indicators are indicators of wireless-side problems, it can be determined that the indicator that causes packet loss is a non-wireless-side indicator, which can be further fed back to other professionals for resolution.

[0117] In this exemplary embodiment, even if the wireless side management indicator that causes the data packet loss cannot be accurately located, the result of the non-wireless side indicator that causes the data packet loss can be located, so as to provide guidance for personnel who solve the data packet loss situation and improve the processing logic of packet loss location to meet the usage requirements of actual scenarios.

[0118] The following is a detailed description of the packet loss location method in the embodiment of the present disclosure in conjunction with an application scenario.

[0119] Figure 7 The flowchart of the packet loss location method in the application scenario is shown as follows: Figure 6 As shown, in step S701, a VoLTE high packet loss cell is input for standby use.

[0120] The poor quality cell where data packet loss occurs may be a cell where the VoLTE voice uplink packet loss rate or downlink packet loss rate during busy hours is greater than 1.5% for four days in a week, and the number of uplink or downlink user plane traffic packets at the PDCP layer is greater than 9,000.

[0121] Specifically, the VoLTE downlink packet loss rate of the small base station _C2WNND3 in XX cell in XX district was greater than 2% for 4 days in the week from August 17 to August 23, 2020.

[0122] Among them, the indicators of small base station_C2WNND3 in XX district XX cell are shown in Table (4):

[0123]

[0124] Table (4)

[0125] In step S702, according to the four indicator models of access and retention, load, coverage, and interference, 62 primary indicators that have a certain correlation with the packet loss rate indicator are selected.

[0126] According to the four types of indicators, namely, access and retention, load, coverage and interference, primary indicators with certain correlation with the poor quality indicator information of the poor quality cell are determined. There may be 62 primary indicators, which are used as the objects for further correlation analysis.

[0127] In step S703, the correlation analysis between the packet loss rate and the primary indicators is performed using the Pearson correlation coefficient method, and a total of 15 indicators in four categories of indicators are determined as management indicators for pre-positioning of poor wireless quality.

[0128] Specifically, the Pearson correlation coefficient method can be used to calculate the packet loss rate of the poor quality cell and the standard deviation between the primary indicators and other parameters for correlation analysis and processing, so as to determine 15 management indicators from the 62 primary indicators.

[0129] Among them, VoLTE voice ERAB establishment success rate, VoLTE voice wireless connection rate, VoLTE voice same-frequency switching success rate, VoLTE voice inter-frequency switching success rate, QCI1 reconstruction ratio, VoLTE voice drop rate, and the proportion of abnormal ERAB release of voice services caused by wireless side problems belong to access and retention indicators; uplink PRB utilization rate, downlink PRB utilization rate, and the maximum number of RRC connected users belong to load indicators; MR excellent rate, CQI excellent ratio, and 4G down-cutting 3G ratio belong to coverage indicators; average RSSI and RSSI at 4 am belong to interference indicators.

[0130] In step S704, the interval distribution of 15 management indicators of four categories corresponding to 80,000 standard cells (cells with VoLTE voice duration of not less than 60,000 ms and not meeting the high packet loss condition) is counted, and the optimization thresholds of various management indicators under different frequency bands are determined.

[0131] Among them, the standard cell can be a cell that screens out 80,000 VoLTE voice durations that are not less than 60,000 ms and do not meet the criteria for determining a poor quality cell.

[0132] After obtaining the management index, the poor quality index information corresponding to the poor quality cell and the management index can be further obtained, and the standard index information corresponding to the standard cell and the management index can be obtained.

[0133] Determine interval distribution information of the standard indicator information, and determine a distribution threshold corresponding to the interval distribution information.

[0134] For the 15 standard indicator information, the interval distribution of the standard indicator information is statistically obtained to obtain the interval distribution information. Further, a distribution threshold corresponding to the interval distribution information can also be determined. Generally, the distribution threshold can be 80%, or other values ​​can be set according to actual conditions, and this exemplary embodiment does not make special restrictions on this.

[0135] Based on the interval distribution information, the indicator threshold of the management indicator is determined according to the distribution threshold.

[0136] According to the principle of not less than 80%, the threshold values ​​of various management indicators in different frequency bands and different equipment manufacturers can be determined from the interval distribution information.

[0137] For example, when a management indicator corresponding to a standard cell, such as a VoLTE voice ERAB establishment success rate of more than 80%, falls within the interval of (99%, 100%], 99% can be determined as the indicator threshold of the VoLTE voice ERAB establishment success rate. In addition, the indicator thresholds of other management indicators are determined in a similar manner.

[0138] In step S705, it is determined whether there is a device alarm in the high packet loss cell.

[0139] After determining the poor quality indicator information and the indicator threshold, a pre-positioning model may be obtained according to the poor quality indicator information and the indicator threshold to determine the management indicator causing the data packet loss in the poor quality cell.

[0140] Query the alarm status of the poor quality cells to determine the alarm query results.

[0141] For VoLTE cells with high packet loss and poor quality, you can first check the alarm status of the device to obtain the alarm query results.

[0142] In step S706, it is determined whether one or more of the 15 management indicators of the cell meet the optimization threshold.

[0143] If the alarm query result is that there is no alarm situation, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

[0144] When there is no alarm in the equipment of the poor quality cell, it can be determined that the alarm query result is that there is no alarm, and the threshold determination processing can be directly performed on the poor quality indicator information.

[0145] Specifically, the threshold determination process may be to compare the quality difference indicator information corresponding to the 15 management indicators with the indicator thresholds respectively to obtain the threshold determination result.

[0146] In step S707, the management indicators with problems are located and transferred to the optimization personnel for resolution, and the process ends.

[0147] Specifically, Table (5) shows the threshold determination results:

[0148]

[0149] Table (5)

[0150] Specifically, the threshold determination result may be that the VoLTE voice intra-frequency switching success rate and the VoLTE voice inter-frequency switching success rate are worse than the optimization threshold, that is, the indicator threshold.

[0151] Therefore, according to the poor quality indicator information and indicator threshold, it can be located that the management indicator of data packet loss in the poor quality cell is the access and retention category. Furthermore, the data packet loss is caused by a handover problem, which can be fed back to the optimization personnel for resolution.

[0152] Figure 8 The following is a schematic diagram showing the interface of the base station layer of a poor quality cell. Figure 8 As shown, the white sector represents a cell with a 20M bandwidth, the light gray sector represents a cell with a 15M bandwidth, and the dark gray sector represents a cell with a 10M bandwidth.

[0153] The circular areas pointed to by the cells with 20M bandwidth and the cells with 15M bandwidth are sections where high packet loss wireless problems occur.

[0154] Fig. 9 The following is a schematic diagram of the interface for solving the data packet loss situation of the corresponding management indicators, such as Fig. 9 As shown, the optimization personnel combined the site distribution and found that the sites around the cell were 1.8G interlaced networks. According to the current network test, the LTE1.8G cells 1850 (20M bandwidth) and 1825 (15M bandwidth) sampled the hetero-frequency A1 / A2+A3 switching. Because the A2 threshold was too high, 1850 did not initiate the measurement of the 1825 frequency point cell with the main coverage of the adjacent site hetero-frequency, but measured the 1850 co-frequency cell with the back coverage of the adjacent site and initiated the switching to it. However, due to the strong signal interference of the 1825 frequency point, the link became worse, and the switching eventually failed, and the new cell was accessed through reconstruction.

[0155] Specifically, on August 31, 2020, the inter-frequency switching parameters A1 / A2+A3 of the small base station_C2WNND3 cell in XX district XX cell were adjusted from -96 / -99+4->-80 / -85+2.

[0156] According to the comparison of the road test indicators before and after the adjustment, it can be found that the switching of the optimized poor quality cell is normal, and the RSRP (Reference Signal Receiving Power) and SINR (Signal to Interference plus Noise Ratio) are improved.

[0157] Specifically, Fig.10 The interface diagram shows the change of RSRP before and after adjustment, as shown in Fig.10 As shown in the figure, the RSRP index changes from dark to light, indicating that the index has improved. Obviously, before the adjustment, the RSRP is dark; after the adjustment, the RSRP color becomes lighter, indicating that the RSRP has been improved after the adjustment.

[0158] Fig.11 The interface diagram shows the change of SINR before and after adjustment, as shown in Fig.11 As shown in FIG. 1 , the SINR index changes from dark to light, indicating that the index is getting better. Obviously, before the adjustment, the SINR is dark; after the adjustment, the SINR color becomes lighter, indicating that the SINR is improved after the adjustment.

[0159] Moreover, RSRP and SINR are important indicators that affect the packet loss rate, so the packet loss rate problem has also been significantly solved.

[0160] Specifically, Table (6) shows the data packet loss before and after the adjustment:

[0161]

[0162]

[0163] Table (6)

[0164] After the adjustment on August 31, 2020, the number of times the downlink busy-hour packet loss in XX cell in XX district was greater than 1.5% occurred was 0 times within a week, so the data packet loss problem was resolved.

[0165] In step S708, the problem is determined to be a non-wireless side issue and is transferred to other professional solutions, and the process ends.

[0166] If the threshold determination result is that the poor quality indicator information meets the indicator threshold, it is determined that the poor quality cell has data packet loss caused by other indicators.

[0167] When the threshold determination results are obtained under different alarm query results, the threshold determination results that all 15 management indicators meet the corresponding indicator thresholds can also be obtained.

[0168] Furthermore, since all 15 management indicators are indicators of wireless-side problems, it can be determined that the indicator that causes packet loss is a non-wireless-side indicator, which can be further fed back to other professionals for resolution.

[0169] In step S709, the problem is transferred to maintenance personnel for resolution.

[0170] If the alarm query result shows that an alarm situation exists, an alarm elimination process is performed on the existing alarm situation to obtain an elimination process result.

[0171] When an alarm occurs in the equipment of the poor quality cell, it can be determined that the alarm query result indicates that an alarm occurs.

[0172] When an alarm occurs, it can be transferred to the maintenance personnel for alarm elimination processing to obtain the elimination processing result.

[0173] In step S710, after the alarm is cleared, it is determined whether the high packet loss problem is resolved.

[0174] If the elimination processing result is that the existing alarm situation has been eliminated, but the data packet loss situation has not been resolved, a threshold determination process is performed on the quality difference indicator information to obtain a threshold determination result.

[0175] After the maintenance personnel solve the existing alarm situation, the alarm situation has been eliminated, but the data packet loss situation has not been solved, so the threshold determination processing can be further performed on the quality difference indicator information.

[0176] Specifically, the threshold determination process may be to compare the quality difference indicator information corresponding to the 15 management indicators with the indicator thresholds respectively to obtain the threshold determination result.

[0177] After obtaining the threshold judgment results under different alarm query results, it can be obtained that one or more poor quality indicator information is worse than the corresponding indicator threshold, that is, the poor quality indicator information does not meet the indicator threshold. Therefore, it can be determined that the one or more management indicators are the management indicators that cause data packet loss in the poor quality cell.

[0178] Furthermore, the data packet loss situation can be fed back to the indicator type optimization personnel corresponding to the management indicator, so that the optimization personnel can handle and solve the data packet loss situation.

[0179] If the elimination processing result is that the existing alarm situation has been eliminated and the data packet loss situation has been resolved, the overall process can be resolved.

[0180] The packet loss location method in this application scenario is comprehensive and complete in the types of management indicators determined according to the data packet loss situation, and can more comprehensively determine the wireless side problems that cause data packet loss. The determination method is accurate and effective, which improves the optimization efficiency of front-line network maintenance personnel, so as to quickly solve the pain points of users using the network and further improve user perception and usage experience. In addition, the main body of the data packet loss is determined to be the cell, rather than the problem demarcation of a single user. The location and solution of the data packet loss situation are more targeted, which can directly and effectively solve the data packet loss problem, and the solution is simple and efficient, meeting the use needs of actual scenarios.

[0181] In addition, in an exemplary embodiment of the present disclosure, a packet loss location device is also provided. Fig.12 FIG. 4 shows a schematic diagram of the structure of a packet loss location device. Fig.12 As shown, the packet loss location device 1200 may include: an indicator determination module 1210, a threshold determination module 1220 and a packet loss location module 1230. Among them:

[0182] The indicator determination module 1210 is configured to determine the poor quality cell where data packet loss occurs and the standard cell corresponding to the poor quality cell, and determine the management indicator corresponding to the poor quality cell according to the data packet loss situation; the threshold determination module 1220 is configured to obtain the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information; the packet loss location module 1230 is configured to determine that the poor quality cell has data packet loss caused by the management indicator if the poor quality indicator information does not meet the indicator threshold.

[0183] In an exemplary embodiment of the present invention, determining the management indicator corresponding to the poor quality cell according to the data packet loss situation includes:

[0184] Determine a primary indicator corresponding to the poor quality cell according to the data packet loss situation;

[0185] The data packet loss situation and the primary indicators are correlated and analyzed using the Pearson correlation coefficient method to determine the management indicator from the primary indicators.

[0186] In an exemplary embodiment of the present invention, determining the indicator threshold of the management indicator according to the standard indicator information includes:

[0187] Determining interval distribution information of the standard indicator information, and determining a distribution threshold corresponding to the interval distribution information;

[0188] Based on the interval distribution information, an indicator threshold of the management indicator is determined according to the distribution threshold.

[0189] In an exemplary embodiment of the present invention, if the poor quality indicator information does not meet the indicator threshold, determining that the poor quality cell has the data packet loss situation caused by the management indicator includes:

[0190] Performing an alarm query on the poor quality cell to determine an alarm query result;

[0191] Based on the alarm query result, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result;

[0192] If the threshold determination result is that the poor quality indicator information does not meet the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by the management indicator.

[0193] In an exemplary embodiment of the present invention, the step of performing threshold determination processing on the quality difference indicator information based on the alarm query result to obtain a threshold determination result includes:

[0194] If the alarm query result is that there is no alarm situation, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

[0195] In an exemplary embodiment of the present invention, the step of performing threshold determination processing on the quality difference indicator information to obtain a threshold determination result includes:

[0196] If the alarm query result indicates that an alarm situation exists, performing alarm elimination processing on the existing alarm situation to obtain an elimination processing result;

[0197] If the elimination processing result is that the existing alarm situation has been eliminated but the data packet loss situation has not been resolved, a threshold determination process is performed on the quality difference indicator information to obtain a threshold determination result.

[0198] In an exemplary embodiment of the present invention, after performing threshold determination processing on the quality difference indicator information to obtain a threshold determination result, the method further includes:

[0199] If the threshold determination result is that the poor quality indicator information meets the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by other indicators.

[0200] The specific details of the above-mentioned packet loss location device 1200 have been described in detail in the corresponding packet loss location method, so they will not be repeated here.

[0201] It should be noted that although several modules or units of the packet loss location device 1200 are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present 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 into multiple modules or units to be embodied.

[0202] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0203] Refer to the following Fig.13 13 to 14. An electronic device 1300 according to such an embodiment of the present invention is described. Fig.13 The electronic device 1300 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0204] like Fig.13 As shown, the electronic device 1300 is in the form of a general computing device. The components of the electronic device 1300 may include, but are not limited to: at least one processing unit 1310, at least one storage unit 1320, a bus 1330 connecting different system components (including the storage unit 1320 and the processing unit 1310), and a display unit 1340.

[0205] The storage unit stores program codes, which can be executed by the processing unit 1310, so that the processing unit 1310 executes the steps according to various exemplary embodiments of the present invention described in the above “Exemplary Method” section of this specification.

[0206] The storage unit 1320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 1321 and / or a cache memory unit 1322 , and may further include a read-only memory unit (ROM) 1323 .

[0207] The storage unit 1320 may also include a program / utility 1324 having a set (at least one) of program modules 1325, such program modules 1325 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0208] Bus 1330 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0209] The electronic device 1300 may also communicate with one or more external devices 1500 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 1300, and / or communicate with any device that enables the electronic device 1300 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 1350. Furthermore, the electronic device 1300 may 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 a network adapter 1360. As shown, the network adapter 1340 communicates with other modules of the electronic device 1300 via a bus 1330. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 1300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0210] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0211] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible embodiments, various aspects of the present invention can also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to perform the steps according to various exemplary embodiments of the present invention described in the above "Exemplary Method" section of the present specification.

[0212] refer to Fig.14 As shown, a program product 1400 for implementing the above method according to an embodiment of the present invention is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0213] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0214] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0215] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0216] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0217] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A packet loss location method, characterized in that: The method comprises: Determine a poor-quality cell where data packet loss occurs and a standard cell corresponding to the poor-quality cell, and determine a primary indicator corresponding to the poor-quality cell according to the data packet loss situation; Using the Pearson correlation coefficient method, a correlation analysis is performed on the data packet loss situation and the primary indicator to determine the management indicator from the primary indicator; Acquire the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information; Performing an alarm query on the poor quality cell to determine an alarm query result; Based on the alarm query result, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result; If the threshold determination result is that the poor quality indicator information does not meet the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by the management indicator.

2. The packet loss location method according to claim 1, characterized in that: The step of determining the indicator threshold of the management indicator according to the standard indicator information includes: Determining interval distribution information of the standard indicator information, and determining a distribution threshold corresponding to the interval distribution information; Based on the interval distribution information, an indicator threshold of the management indicator is determined according to the distribution threshold.

3. The packet loss location method according to claim 1, characterized in that: The step of performing threshold determination processing on the quality difference indicator information based on the alarm query result to obtain a threshold determination result includes: If the alarm query result is that there is no alarm situation, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result.

4. The packet loss location method according to claim 1, characterized in that: The performing threshold determination processing on the quality difference indicator information to obtain a threshold determination result includes: If the alarm query result indicates that an alarm situation exists, performing alarm elimination processing on the existing alarm situation to obtain an elimination processing result; If the elimination processing result is that the existing alarm situation has been eliminated but the data packet loss situation has not been resolved, a threshold determination process is performed on the quality difference indicator information to obtain a threshold determination result.

5. The packet loss location method according to claim 1, characterized in that: After the threshold determination process is performed on the quality difference indicator information to obtain the threshold determination result, the method further includes: If the threshold determination result is that the poor quality indicator information meets the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by other indicators.

6. A packet loss location device, characterized in that: include: The indicator determination module is configured to determine the poor quality cell where data packet loss occurs and the standard cell corresponding to the poor quality cell, and determine the primary indicator corresponding to the poor quality cell according to the data packet loss situation; perform correlation analysis on the data packet loss situation and the primary indicator using the Pearson correlation coefficient method to determine the management indicator from the primary indicator; A threshold determination module is configured to obtain the poor quality indicator information of the poor quality cell and the standard indicator information of the standard cell according to the management indicator, and determine the indicator threshold of the management indicator according to the standard indicator information; The packet loss location module is configured to query the alarm situation of the poor quality cell and determine the alarm query result; Based on the alarm query result, threshold determination processing is performed on the quality difference indicator information to obtain a threshold determination result; If the threshold determination result is that the poor quality indicator information does not meet the indicator threshold, it is determined that the poor quality cell has the data packet loss situation caused by the management indicator.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the packet loss location method described in any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: processor; A memory, configured to store executable instructions of the processor; The processor is configured to execute the packet loss location method described in any one of claims 1 to 5 by executing the executable instructions.

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