CN109996277B - Method and device for judging poor quality cell - Google Patents
Method and device for judging poor quality cell Download PDFInfo
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- CN109996277B CN109996277B CN201711481092.XA CN201711481092A CN109996277B CN 109996277 B CN109996277 B CN 109996277B CN 201711481092 A CN201711481092 A CN 201711481092A CN 109996277 B CN109996277 B CN 109996277B
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Abstract
The invention provides a method and a device for judging a poor cell, which are used for realizing the judgment of the poor cell based on user-level indexes and solving the problem that a result counted according to northbound performance indexes cannot be restored to a specific user. The method comprises the following steps: determining a measurement value of a KQI index for measuring the speed of opening a webpage according to user plane data transmitted through an S1 interface in a call ticket; determining a QoE value according to the measured value of the KQI index; judging whether the QoE value meets a preset call ticket quality difference condition, if so, determining the call ticket as a quality difference call ticket; counting the number of the quality call bills in the cell where the user is located corresponding to the call bill, and determining the proportion of the quality call bills in the cell; and judging whether the occupation ratio of the quality bill in the cell meets a preset cell quality difference condition, if so, determining that the cell is the quality difference cell.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a poor cell.
Background
With the development of Long Term Evolution (LTE) technology, important indexes for checking the network operation state today include whether the cell is a poor cell. The poor cell is a cell with poor performance and poor user perception in the cellular mobile communication system. Therefore, the poor cell is also a cell that needs to be focused in the network optimization process.
Currently, it is determined whether the cell belongs to a poor quality cell, and it is usually determined whether the northbound performance index meets a preset condition, and if so, the cell is determined to be the poor quality cell. For example, if the handover success rate of the eSRVCC (Enhanced Single Radio Voice Call Continuity) of the cell is less than 0.9 and the number of requests for handover to the 2G network is greater than 50, the cell is determined to be a poor cell. The method has good guidance on the optimization of the network performance index, but with the improvement of the requirement of the user on the network, the optimization of the network is mainly directed to improving the user perception, and the limitation of the method is reflected according to the northbound performance index.
The result counted by the northbound performance index is based on cell-level data, so that the internet surfing data of a certain user cannot be analyzed, and the internet surfing process and the user perception of the user cannot be restored, so that the counted result plays a little role in improving the user perception by optimizing the network.
In summary, the effect of improving the internet surfing perception of the user is slight by optimizing the poor quality cell determined according to the northbound performance index.
Disclosure of Invention
The embodiment of the invention provides a method and a device for judging a poor cell, which are used for realizing the judgment of the poor cell based on a user-level index and solving the problem that a result counted according to a northbound performance index cannot be restored to a specific user.
The embodiment of the invention provides a method for judging a poor cell, which comprises the following steps:
determining a measurement value of a KQI key quality index for measuring the speed of opening a webpage according to user plane data transmitted through an S1 interface in a call ticket;
determining a QoE user experience value according to the measured value of the KQI index;
judging whether the QoE value meets a preset call ticket quality difference condition, if so, determining the call ticket as a quality difference call ticket;
counting the number of the quality call tickets in the cell where the user is located, determining the proportion of the quality call tickets in the cell, judging whether the proportion of the quality call tickets in the cell meets a preset cell quality condition, and if so, determining that the cell is the quality cell.
Preferably, determining the QoE user experience value according to the measured value of the KQI index includes:
performing percentage conversion on the measured value of the KQI index to obtain a final value of the KQI index;
determining the variation coefficient of the KQI index according to the final value of the KQI index, and determining the weight corresponding to the KQI index as the variation coefficient of the KQI index;
and determining a QoE user experience value according to the final value of the KQI index and the weight corresponding to the KQI index.
Preferably, the KQI index includes: the time delay index of opening the webpage and the speed index of downloading the webpage.
Preferably, determining a measurement value of the KQI index for measuring how fast and slow the web page is opened according to the user plane data transmitted through the S1 interface in the call ticket includes:
acquiring a TCP link establishment response delay, a TCP link establishment confirmation delay, a delay from the successful TCP link establishment to a first transaction request, a delay of a last HTTP hypertext transfer protocol content packet, a delay of a first HTTP response packet and a field value of DL DATA downlink DATA from user-side DATA transmitted through an S1 interface in a ticket;
determining a measurement value of a delay index of an opened webpage according to the delay of the TCP link establishment and the delay of the last HTTP content packet;
determining the time delay of the downloaded webpage according to the time delay of the last HTTP hypertext transfer protocol content packet and the time delay of the first HTTP response packet;
and determining the measurement value of the rate index of the downloaded webpage according to the data volume and the time delay of the downloaded webpage.
Preferably, after determining that the cell is a poor quality cell, the method further includes:
determining the reason of the poor quality of the cell according to the judgment result of whether the user plane data in the call ticket meets the preset condition;
counting the frequency of the reasons of the cell quality difference;
and determining the main reason of the cell as the poor cell according to the data obtained by statistics.
Preferably, determining the cause of the cell quality difference further includes:
and determining the reason of the poor quality of the cell according to a judgment result of judging whether the control plane data in the call ticket or the data in the MR network measurement report meet a preset condition.
Preferably, determining the cell as the main cause of the poor cell according to the data obtained by statistics includes:
determining the support degree or confidence degree of the reason of the cell quality difference according to the counted times of the reason of the cell quality difference;
and determining the cell as the main reason of the poor cell according to the support degree or the confidence coefficient of the reason of the poor cell.
The embodiment of the invention provides a device for judging a poor cell, which comprises:
the processing module is used for determining the measurement value of the KQI index for measuring the speed of opening the webpage according to the user plane data transmitted through the S1 interface in the call ticket;
the calculating module is used for determining the QoE value according to the measured value of the KQI index;
the call ticket judging module is used for judging whether the QoE value meets a preset call ticket quality difference condition, and if so, determining the call ticket as a quality difference call ticket;
and the cell judgment module is used for counting the number of the quality call tickets in the cell where the user is located, determining the proportion of the quality call tickets in the cell, judging whether the proportion of the quality call tickets in the cell meets a preset cell quality difference condition or not, and if so, determining that the cell is the quality difference cell.
Preferably, the calculation module is specifically configured to:
performing percentage conversion on the measured value of the KQI index to obtain a final value of the KQI index;
determining the variation coefficient of the KQI index according to the final value of the KQI index, and determining the weight corresponding to the KQI index as the variation coefficient of the KQI index;
and determining a QoE user experience value according to the final value of the KQI index and the weight corresponding to the KQI index.
Preferably, the KQI index includes: opening the time delay index of the webpage and downloading the speed index of the webpage.
Preferably, the processing module is specifically configured to:
acquiring a TCP link establishment response delay, a TCP link establishment confirmation delay, a delay from the successful TCP link establishment to a first transaction request, a delay of a last HTTP hypertext transfer protocol content packet, a delay of a first HTTP response packet and a field value of DL DATA downlink DATA from user-side DATA transmitted through an S1 interface in a ticket;
determining a measurement value of a delay index of an opened webpage according to the delay of the TCP link establishment and the delay of the last HTTP content packet;
determining the time delay of the downloaded webpage according to the time delay of the last HTTP hypertext transfer protocol content packet and the time delay of the first HTTP response packet;
and determining the measurement value of the rate index of the downloaded webpage according to the data volume and the time delay of the downloaded webpage.
Preferably, after determining that the cell is a poor quality cell, the cell determining module is further configured to:
determining the reason of the poor quality of the cell according to the judgment result of whether the user plane data in the call ticket meets the preset condition;
counting the frequency of the reasons of the cell quality difference;
and determining the main reason of the cell as the poor cell according to the data obtained by statistics.
Preferably, the cause of the cell quality difference is determined, and the cell determining module is further configured to:
and determining the reason of the poor quality of the cell according to a judgment result of judging whether the control plane data in the call ticket or the data in the MR network measurement report meet a preset condition.
Preferably, the cell determination module is configured to determine, according to the data obtained by statistics, that the cell is a main cause of the poor quality cell, and specifically:
determining the support degree or confidence degree of the reason of the cell quality difference according to the counted times of the reason of the cell quality difference;
and determining the cell as the main reason of the poor cell according to the support degree or the confidence degree of the reason of the poor cell.
An embodiment of the present invention provides a server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the method for determining a poor cell.
An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the method for determining a poor cell as described above.
The embodiment of the invention provides a method and a device for judging a poor quality cell, which judge whether a call ticket is the poor quality call ticket or not by analyzing data in the call ticket of a user surfing the Internet once, and then determine whether the cell is the poor quality cell or not according to the proportion of the poor quality call ticket in the cell where the user is located, namely judge whether the cell is the poor quality cell or not based on user-level data, realize the reduction of the user surfing the Internet perception, and provide possibility for optimizing a network and improving the user perception.
Drawings
Fig. 1 is a flowchart illustrating a method for determining a poor cell according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for analyzing the cause of the cell quality difference according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for identifying a quality difference cell and analyzing a cause of the quality difference by a ticket according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for determining a poor cell according to a fourth embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method and a device for judging a poor cell, which are used for realizing the judgment of the poor cell based on a user-level index and solving the problem that a result counted according to a northbound performance index cannot be restored to a specific user.
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
an embodiment of the present invention provides a method for determining a poor cell, and referring to fig. 1, the method includes:
s110, determining a measurement value of a KQI (Key Quality Indicators) index for measuring the speed of opening a webpage according to user plane data transmitted through an S1 interface in a ticket;
s120, determining a QoE (Quality of Experience) value according to the measured value of the KQI index determined in the step S110;
s130, judging whether the QoE value determined in the step S120 meets a preset call ticket quality difference condition, if so, determining the call ticket as a quality difference call ticket;
s140, counting the number of the quality call tickets in the cell where the user is located corresponding to the call ticket, and determining the proportion of the quality call tickets in the cell;
s150, judging whether the occupation ratio of the quality difference bill in the cell meets a preset cell quality difference condition, if so, determining the cell to be the quality difference cell.
Aiming at the step S110, the method for determining the measurement value of the KQI index for measuring the speed of opening the webpage comprises the following steps:
acquiring response time delay of TCP (Transmission Control Protocol) link establishment, confirmation time delay of TCP link establishment, time delay from TCP link establishment success to a first transaction request and time delay of a last HTTP (Hypertext Transfer Protocol) content packet from user plane data transmitted through an S1 interface in a call ticket;
determining the sum of the response delay of TCP link establishment, the confirmation delay of TCP link establishment, the delay from the TCP link establishment to the first transaction request and the delay of the last HTTP content packet as a measured value of the delay index of the opened webpage; the time delay index for opening the webpage is used for measuring the time from sending the webpage access request to the successful webpage display.
Acquiring a field value of DL DATA (Download DATA, downlink DATA), a time delay of a last HTTP content packet and a time delay of a first HTTP response packet from user plane DATA transmitted through an S1 interface in a ticket;
converting the field value of the DL DATA into a bit value of the webpage download DATA volume; determining the difference value of the time delay of the last HTTP content packet and the time delay of the first HTTP response packet as the transmission time of webpage downloading;
and determining the ratio of the webpage download data volume to the transmission time of the webpage download, wherein the ratio is the average webpage download speed.
For step S120, the method for generating a QoE value through a mapping model by using the measured value of the KQI index specifically includes:
firstly, performing percentage conversion on a measured value of the KQI index to obtain a final value of the KQI index; specifically, according to a formula I, performing percentile conversion on a measurement value of the KQI index to obtain a final value of the KQI index;
wherein x istestThe measured value of the KQI index is I, the user satisfaction value in the KQI index is Q, the user tolerance value in the KQI index is T, and the final value of the KQI index is x.
Secondly, determining the weight corresponding to the KQI index according to the final value of the KQI index; specifically, the variation coefficient of the KQI may be used as the weight corresponding to the KQI index; specifically, the variation coefficient of the KQI index can be determined according to the final value of the KQI index according to a formula II;
wherein, ViIs the coefficient of variation, S, of the ith KQI indexiIs the standard deviation of the final value of the ith KQI index,
is the average of the final values of the KQI index.
Specifically, the formula for determining the standard deviation of the final value of the KQI index is:
wherein S isiIs the standard deviation of the final value of the ith KQI index, xiIs the final value of the ith KQI index;
is the average of the final values of the KQI index; n is the number of KQI indexes.
Specifically, the formula for determining the average of the final values of the KQI index is:
wherein the content of the first and second substances,
is the average of the final values of the KQI index; x is the number ofiThe final value of the ith KQI index; n is the number of KQI indexes.
Finally, determining a QoE value according to the final value of the KQI index and the weight corresponding to the KQI index; specifically, the QoE value can be determined according to a formula III;
wherein QoE is a quantitative value V used by an end user to evaluate subjective feelings about service performance provided by a mobile networkiWeight corresponding to the ith KQI index, xiIs the final value of the ith KQI index.
Example two:
after determining that the cell is a poor cell, in order to optimize a cell network, a main cause of the poor quality of the cell needs to be determined, referring to fig. 2, an embodiment of the present invention provides a method for analyzing the cause of the poor quality of the cell, which specifically includes:
s210, analyzing each quality difference bill in the quality difference cell, and judging the reason of the quality difference of the cell, wherein the specific analysis method comprises the following steps:
after determining that the cell is a poor cell in step S150, determining a cause of the poor cell by determining whether data in user plane data, control plane data, and MR (Measurement Report) satisfy a preset condition. Wherein, the user plane data is the user plane data transmitted by the ticket through an S1 interface; the control surface data is the control surface data transmitted by the ticket through an S1 interface; the MR data is data acquired from a base station.
S220, counting the reasons of the cell quality difference according to the analysis result of the quality difference bill, and determining the occurrence frequency of each quality difference reason;
s230, determining the reason with the most occurrence frequency as a main reason, or determining the support degree or the confidence degree of each reason according to the occurrence frequency of each reason with poor quality; the reason for the maximum support or confidence is determined to be the main reason.
The reasons for the poor cell quality can be divided into the reasons for the wireless network side and the reasons for the core network side, and the reasons for the wireless network side specifically include weak coverage, overlapping coverage, modulo 3 interference, overload of concurrent users, hardware fault interference, failure in handover, and too long TCP link setup response delay or too long first HTTP response packet delay.
For step S210, determining the cause of the cell quality difference by determining whether the user plane data transmitted by the ticket through the S1 interface satisfies a preset condition, includes:
determining the number of users concurrent in the Cell at the message sending Time point according to the Cell ID (Cell identification) and the Procedure Start Time (message sending Time) in the user plane data; if the determined number of the concurrent users is less than 80% of the maximum number of the concurrent users of all the base stations in the cell, determining that the reason of the poor quality of the cell is the overload of the number of the concurrent users;
and if the TCP link establishment response delay in the user plane data is greater than a sixth threshold value or the first HTTP response packet delay is greater than a seventh threshold value, determining that the reason of the cell quality difference is too long delay.
Aiming at the step S210, determining the cause of the cell quality difference by judging whether the control plane data transmitted by the ticket through the S1 interface satisfies the preset condition, including:
if the code of the Procedure Type in the control plane data is 23 and the code of the Procedure Status is 0, determining that the cause of the cell quality difference is hardware fault interference;
and if the code of the Procedure Type in the control plane data is 14 or 15 and the code of the Procedure Status is 1, determining that the reason of the poor quality of the cell is handover failure.
For step S210, determining a cause of cell quality difference by determining whether data in MR (Measurement Report) satisfies a preset condition, includes:
if the reference information receiving power of the ScRSRP main service cell in the MR is less than-105 dBm decibel milliwatts, determining that the cause of the cell quality difference is weak coverage;
if ScRSRP in the MR is more than-110 dBm, and the number of the same-frequency adjacent cells which meet the condition that the difference value between the reference information receiving power of the NcRSRP adjacent cell and the reference information receiving power of the ScRSRP main service cell is not less than-6 dBm is not less than 3, determining that the reason of the cell quality difference is overlapping coverage;
and if the cell has the problems of signal overlapping coverage and modulo-3 interference, determining that the cause of poor cell quality is modulo-3 interference.
Example three:
the third embodiment of the present invention provides a method for identifying a poor quality cell and analyzing the cause of the poor quality based on a user-level call ticket, and referring to fig. 3, the method includes:
s301, obtaining the xDR call ticket and the MR data from the network side.
S302, extracting an effective field from the xDR call ticket, for example, extracting a Procedure Type and a Procedure Status from S1-MME data of the xDR call ticket; and extracting DL DATA, response delay of TCP link establishment, acknowledgement delay of TCP link establishment, delay from TCP link establishment success to a first transaction request, delay of a first HTTP response packet and delay of a last HTTP content packet from the S1-U DATA of the xDR call ticket. Extracting effective fields from the MR data, for example, extracting carrier numbers of the ScEarfcn/ncEarfcn primary/neighboring cells, reference signal received powers of the scerp/NcRSRP primary/neighboring cells, and physical cell identification codes of the sceci/NcPci primary/neighboring cells from the MR data.
S303, because the extracted valid fields are in different files, in order to facilitate the analysis of the cause of the quality difference cell, the extracted valid fields are integrated into one file in the embodiment; in addition, since the number of valid fields extracted from the S1-U data is the largest, in order to shorten the extraction and integration time and improve the efficiency, the embodiment integrates both the valid fields extracted from the S1-MME data and the valid fields extracted from the MR data into the S1-U data. The integrated file can be stored in a txt format file, and certainly can also be stored in other formats, and the file format stored in the invention is limited. The file segment format of the integrated file can refer to the arrangement format given in this embodiment, but the present invention is not limited to this arrangement format, and the valid field extracted from the MR data may be placed after the valid field extracted from the S1-MME; the segment format provided in this embodiment is specifically:
s1u identifies | Cell ID | IMSI | Procedure start time | Procedure end time | s1u XDR ID | app _ type | app _ sub _ type | DL data | TCP build response latency | CP build confirm latency | TCP build success to latency of first transaction request | first HTTP response packet latency | latency of last HTTP content packet | delay of time | minute | user _ num | Scaearfcn | Sci | ScRSRP |11 comma separated Nc Earfcn |11 comma separated NcPci | ProcedureType | ProcedureStatus |11 comma separated NcP |
And S304, mapping the KQI index of the webpage browsing service into a QoE value according to a preset mapping module.
Firstly, determining a KQI index of a webpage browsing service as a delay index for opening a webpage and an average rate index for downloading the webpage; respectively calculating the measured values of the two KQI indexes;
the method for calculating the measured value of the time delay index of the opened webpage comprises the following steps of carrying out summation operation on response time delay of TCP link establishment, confirmation time delay of the TCP link establishment, time delay from the TCP link establishment to a first transaction request and time delay of a last HTTP content packet;
the method for calculating the measurement value of the rate index of the downloaded webpage comprises the steps of converting the field value of DL DATA into the bit value of the webpage download DATA volume; determining the difference value of the time delay of the last HTTP content packet and the time delay of the first HTTP response packet as the transmission time of webpage downloading; the average rate of downloading web pages is the ratio of the data size of web page download to the transmission time of web page download.
Secondly, performing percentile conversion on the measured values of the two KQI indexes to obtain the final values of the two KQI indexes;
according to a first formula in the first embodiment, performing percentage conversion on the measurement value of the time delay index of the opened webpage to obtain a final value of the time delay index of the opened webpage; specifically, the satisfaction value I of the user of the index is 400MS, the qualification value Q is 1000MS, and the tolerance value T is 1500 MS;
similarly, according to the first formula in the first embodiment, the measured value of the rate index of the downloaded web page is subjected to percentile conversion to obtain the final value of the rate index of the downloaded web page; specifically, the user satisfaction value I of the index is 2Mbps, the qualification value Q is 0.8Mbps, and the tolerance value T is 0.01 Mbps.
Then, using the formula two in the first embodiment, the variation coefficient of each of the two KQI indexes is determined according to the final values of the two KQI indexes, and the weight corresponding to the KQI index is determined as the variation coefficient of the KQI index.
And finally, determining the QoE value according to the final values of the two KQI indexes and the weight occupied by the KQI indexes by using a formula III in the first embodiment.
S305, judging whether the QoE value in the step S304 is larger than a preset call bill quality difference threshold value, if not, determining that the call bill is not a quality difference call bill, and judging other call bills; if yes, determining the call bill as a quality difference call bill, sequentially matching the quality difference characteristics of the call bill according to the arrangement sequence of the quality difference characteristics in the record set, and recording the matching result, the Cell ID and the QoE value into the record set if the preset quality difference conditions are met.
If the sequence of the characteristics of the poor quality reasons recorded by the record set is weak coverage, overlapping coverage, module 3 interference, overload of the number of concurrent users, hardware fault interference, switching failure, too long response time delay of TCP (transmission control protocol), and too long response time delay of the first HTTP (hyper text transport protocol), the specific matching method comprises the following steps:
if the reference information receiving power of the ScRSRP main service cell in the MR is less than-105 dBm decibel-milliwatt, determining that the weak coverage in the matching result is 1, otherwise, determining that the weak coverage is 0;
if ScRSRP in the MR is larger than-110 dBm and the number of the same-frequency adjacent cells which meet the condition that the difference value of the reference information receiving power of the NcRSRP adjacent cells and the reference information receiving power of the ScRSRP main service cell is not smaller than-6 dBm is not smaller than 3, determining that the overlapping coverage in the matching result is 1, otherwise, determining that the overlapping coverage is 0;
if the cell has the problem of signal overlapping coverage and the problem of modulo 3 interference, determining that the modulo 3 interference in the matching result is 1, otherwise, determining that the modulo 3 interference is 0;
determining the number of concurrent users in the Cell at the message sending Time point according to the Cell ID (Cell identification) and the Procedure Start Time (message sending Time) in the user plane data transmitted by the call ticket through the S1 interface; if the determined number of the concurrent users is less than 80% of the maximum number of the concurrent users of all the base stations in the cell, determining that an overload item of the number of the concurrent users in the matching result is 1, otherwise, determining that the overload item of the number of the concurrent users is 0;
if the code of the Procedure Type in the control plane data is 23 and the code of the Procedure Status is 0, determining that the hardware fault interference in the matching result is 1, otherwise, determining that the hardware fault interference is 0;
if the code of the Procedure Type in the control surface data is 14 or 15 and the code of the Procedure Status is 1, determining that the switching failure in the matching result is 1, otherwise, determining that the switching failure is 0;
if the TCP link establishment response time delay in the user plane data is larger than 130ms, or the first HTTP response packet time delay is larger than 200ms, determining that the time delay in the matching result is too long as 1, otherwise, determining that the time delay is 0.
To better understand the format of the record set, the method of producing the record set is exemplified: according to the xDR call ticket analysis, the reason that the quality difference of the Cell with the Cell ID of 18718467 is caused by the overlong time delay of the first HTTP response packet is known, so that the record set corresponding to the call ticket is 18718467|0|0|0|0|0|0| 1| 1; wherein, the last 1 represents that the call ticket is a quality difference call ticket, that is to say, the QoE value is greater than a preset call ticket quality difference threshold; the second to last 1 indicates that the cause of the quality difference of the cell is caused by the long delay of the first HTTP response packet.
S306, acquiring a record set generated by all xDR call tickets in the cell, counting the support degree or confidence degree of the last bit with the value of 1, and if the support degree or confidence degree of the item is greater than or equal to a preset quality difference cell threshold value, determining that the cell is a quality difference cell; otherwise the cell is not a poor quality cell. Screening a record set with the last bit value of 1, mining main quality difference reasons of the quality difference cells through a frequent item set algorithm, counting the times of occurrence of all the quality difference reasons, reserving the quality difference reasons with the support degree and the confidence degree meeting the preset screening threshold value, and determining the quality difference reason with the maximum confidence degree as the main quality difference reason.
Example four:
an embodiment of the present invention provides an apparatus for determining a poor cell, and referring to fig. 4, the apparatus includes:
the processing module 410 is configured to determine a measurement value of a KQI index for measuring the speed of opening a web page according to user plane data transmitted through an S1 interface in a ticket;
a calculating module 420, configured to determine a QoE value according to the measured value of the KQI index;
a ticket judging module 430, configured to judge whether the QoE value meets a preset ticket quality difference condition, and if so, determine that the ticket is a quality difference ticket;
the cell judging module 440 is configured to count the number of quality tickets in a cell where the user is located, determine an occupation ratio of the quality tickets in the cell, judge whether the occupation ratio of the quality tickets in the cell meets a preset cell quality difference condition, and if so, determine that the cell is a quality difference cell.
Specifically, the calculation module 420 is specifically configured to:
performing percentage conversion on the measured value of the KQI index to obtain a final value of the KQI index;
determining the variation coefficient of the KQI index according to the final value of the KQI index, and determining the weight corresponding to the KQI index as the variation coefficient of the KQI index;
and determining a QoE user experience value according to the final value of the KQI index and the weight corresponding to the KQI index.
Specifically, the KQI index includes: the time delay index of opening the webpage and the speed index of downloading the webpage.
Specifically, the processing module 410 is specifically configured to:
acquiring a TCP link establishment response delay, a TCP link establishment confirmation delay, a delay from the successful TCP link establishment to a first transaction request, a delay of a last HTTP hypertext transfer protocol content packet, a delay of a first HTTP response packet and a field value of DL DATA downlink DATA from user-side DATA transmitted through an S1 interface in a ticket;
determining a measurement value of a delay index of an opened webpage according to the delay of the TCP link establishment and the delay of the last HTTP content packet;
determining the time delay of the downloaded webpage according to the time delay of the last HTTP hypertext transfer protocol content packet and the time delay of the first HTTP response packet;
and determining the measurement value of the rate index of the downloaded webpage according to the data volume and the time delay of the downloaded webpage.
Specifically, the cell determining module 440 is further configured to:
determining the reason of the poor quality of the cell according to the judgment result of whether the user plane data in the call ticket meets the preset condition;
counting the frequency of the reasons of the cell quality difference; and determining the main reason of the cell as the poor cell according to the data obtained by statistics.
Specifically, the cell determining module 440 is further configured to:
and determining the reason of the poor quality of the cell according to a judgment result of judging whether the control plane data in the call ticket or the data in the MR network measurement report meet a preset condition.
Specifically, according to the data obtained by statistics, the cell is determined to be a main cause of the poor quality cell, and the cell determining module 440 is specifically configured to:
determining the support degree or confidence degree of the reason of the cell quality difference according to the counted times of the reason of the cell quality difference;
and determining the cell as the main reason of the poor cell according to the support degree or the confidence degree of the reason of the poor cell.
Example five:
an embodiment of the present invention provides a server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the method for determining a poor cell according to the first embodiment or the second embodiment.
Example six:
a sixth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the method for determining a poor cell according to the first or second embodiment.
In summary, the embodiments of the present invention provide a method and an apparatus for determining a poor cell, where whether a ticket is a poor ticket is determined by analyzing data in a ticket of a user accessing the internet once, and then, according to an occupation ratio of the poor ticket in a cell where the user is located, whether the cell is the poor cell is determined, that is, whether the cell is the poor cell is determined based on user-level data, so as to implement recovery of user internet access perception, and provide possibility for optimizing a network and improving user perception.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (14)
1. A method for determining a poor cell, the method comprising:
determining a measurement value of a KQI key quality index for measuring the speed of opening a webpage according to user plane data transmitted through an S1 interface in a call ticket;
determining a QoE user experience value according to the measured value of the KQI index;
judging whether the QoE value meets a preset call ticket quality difference condition, if so, determining the call ticket as a quality difference call ticket;
counting the number of the quality call tickets in the cell where the user is located, determining the proportion of the quality call tickets in the cell, judging whether the proportion of the quality call tickets in the cell meets a preset cell quality condition, and if so, determining the cell to be the quality cell;
determining a QoE user experience value according to the measured value of the KQI index, comprising:
performing percentage conversion on the measured value of the KQI index to obtain a final value of the KQI index;
determining the variation coefficient of the KQI index according to the final value of the KQI index, and determining the weight corresponding to the KQI index as the variation coefficient of the KQI index;
and determining a QoE user experience value according to the final value of the KQI index and the weight corresponding to the KQI index.
2. The method of claim 1, wherein the KQI index comprises: the time delay index of opening the webpage and the speed index of downloading the webpage.
3. The method of claim 2, wherein determining a measurement value of a KQI index for measuring how fast or slow a web page is opened according to user plane data transmitted through an S1 interface in a call ticket comprises:
acquiring a TCP link establishment response delay, a TCP link establishment confirmation delay, a delay from the successful TCP link establishment to a first transaction request, a delay of a last HTTP hypertext transfer protocol content packet, a delay of a first HTTP response packet and a field value of DL DATA downlink DATA from user-side DATA transmitted through an S1 interface in a ticket;
determining the measurement value of the delay index of the opened webpage according to the response delay of TCP link establishment, the acknowledgement delay of the TCP link establishment, the delay from the successful TCP link establishment to the first transaction request and the delay of the last HTTP content packet;
determining the time delay of the downloaded webpage according to the time delay of the last HTTP hypertext transfer protocol content packet and the time delay of the first HTTP response packet;
and determining the measurement value of the rate index of the downloaded webpage according to the data volume and the time delay of the downloaded webpage.
4. The method of claim 1, wherein after determining the cell is a poor quality cell, the method further comprises:
determining the reason of the poor quality of the cell according to the judgment result of whether the user plane data in the call ticket meets the preset condition;
counting the frequency of the reasons of the cell quality difference;
and determining the main reason of the cell as the poor cell according to the data obtained by statistics.
5. The method of claim 4, wherein determining the cause of the cell quality difference further comprises:
and determining the reason of the poor quality of the cell according to a judgment result of judging whether the control plane data in the call ticket or the data in the MR network measurement report meet a preset condition.
6. The method according to claim 4 or 5, wherein determining the cell as the main cause of the poor cell according to the statistical data comprises:
determining the support degree or confidence degree of the reason of the cell quality difference according to the counted times of the reason of the cell quality difference;
and determining the cell as the main reason of the poor cell according to the support degree or the confidence degree of the reason of the poor cell.
7. An apparatus for determining a poor cell, the apparatus comprising:
the processing module is used for determining the measurement value of the KQI index for measuring the speed of opening the webpage according to the user plane data transmitted through the S1 interface in the call ticket;
the calculating module is used for determining the QoE value according to the measured value of the KQI index;
the call ticket judging module is used for judging whether the QoE value meets a preset call ticket quality difference condition, and if so, determining the call ticket as a quality difference call ticket;
the cell judging module is used for counting the number of the quality call tickets in the cell where the user is located, determining the proportion of the quality call tickets in the cell, judging whether the proportion of the quality call tickets in the cell meets a preset cell quality difference condition or not, and if so, determining the cell to be the quality difference cell;
the calculation module is specifically configured to:
performing percentage conversion on the measured value of the KQI index to obtain a final value of the KQI index;
determining the variation coefficient of the KQI index according to the final value of the KQI index, and determining the weight corresponding to the KQI index as the variation coefficient of the KQI index;
and determining a QoE user experience value according to the final value of the KQI index and the weight corresponding to the KQI index.
8. The apparatus of claim 7, wherein the KQI index comprises: the time delay index of opening the webpage and the speed index of downloading the webpage.
9. The apparatus of claim 8, wherein the processing module is specifically configured to:
acquiring TCP link establishment response time delay, TCP link establishment confirmation time delay, time delay from successful TCP link establishment to a first transaction request, time delay of a last HTTP hypertext transfer protocol content packet, time delay of a first HTTP response packet and field value of DL DATA downlink DATA from user side DATA transmitted through an S1 interface in a ticket;
determining the measurement value of the delay index of the opened webpage according to the response delay of the TCP link establishment, the TCP link establishment confirmation delay, the delay from the TCP link establishment to the first transaction request and the delay of the last HTTP content packet;
determining the time delay of the downloaded webpage according to the time delay of the last HTTP hypertext transfer protocol content packet and the time delay of the first HTTP response packet;
and determining the measurement value of the rate index of the downloaded webpage according to the data volume and the time delay of the downloaded webpage.
10. The apparatus of claim 7, wherein after determining that the cell is a poor quality cell, the cell determination module is further configured to:
determining the reason of the poor quality of the cell according to the judgment result of whether the user plane data in the call ticket meets the preset condition;
counting the frequency of the reasons of the cell quality difference;
and determining the main reason of the cell as the poor cell according to the data obtained by statistics.
11. The apparatus of claim 10, wherein the cell determination module is further configured to determine a cause of the cell quality difference, and wherein the cell determination module is further configured to:
and determining the reason of the poor quality of the cell according to a judgment result of judging whether the control plane data in the call ticket or the data in the MR network measurement report meet a preset condition.
12. The apparatus according to claim 10 or 11, wherein the cell is determined to be a main cause of the poor cell according to the data obtained by statistics, and the cell determining module is specifically configured to:
determining the support degree or confidence degree of the reason of the cell quality difference according to the counted times of the reason of the cell quality difference;
and determining the cell as the main reason of the poor cell according to the support degree or the confidence degree of the reason of the poor cell.
13. A server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs a method of determining a poor cell as claimed in any of claims 1-6.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of a method for determining a poor cell according to any one of claims 1-6.
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| CN113079521B (en) * | 2020-01-03 | 2023-03-21 | 中国移动通信集团广东有限公司 | Call quality optimization method, device and equipment |
| CN113259954B (en) * | 2020-02-13 | 2023-02-28 | 中国移动通信集团广东有限公司 | Method and device for determining quality difference processing strategy and electronic equipment |
| CN113381867B (en) * | 2020-02-25 | 2023-11-03 | 中国移动通信集团福建有限公司 | Communication delay cause determining method and device, electronic equipment and storage medium |
| CN115150901B (en) * | 2021-03-29 | 2024-04-09 | 中国移动通信集团福建有限公司 | Method, device and storage medium for determining quality difference cell in communication network |
| CN113259193B (en) * | 2021-04-26 | 2023-05-02 | 中国移动通信集团陕西有限公司 | Target network detection method, device, equipment and storage medium |
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