KR100452621B1 - Method for Call Fail Cause Analysis in Mobile Communication System - Google Patents

Abstract

The present invention relates to a method for analyzing the cause of a call connection failure in a mobile communication system and a computer-readable recording medium having recorded thereon a program for realizing the method. In the method for analyzing the cause of failure of a call connection in a mobile communication system according to the present invention, the method for analyzing the cause of failure of a call connection in a mobile communication system, the method comprising: detecting a KPI degradation of detecting a degradation of a main performance indicator (KPI) of a specific base station; A base station error analysis step of analyzing a correlation between the data for the specific base station received from the mobile communication system and the KPI degradation and analyzing the error for the specific base station; A system parameter error analyzing step of analyzing an error of a system parameter setting value received from the mobile communication system; RF unnecessary wave analysis for analyzing the cause of KPI degradation due to RF unwanted wave by using a correlation between the occurrence time of the radio frequency (RF) unwanted wave alarm of the specific base station received from the mobile communication system and the KPI degradation step; An abnormal base station analyzing step of detecting an abnormal base station by regressing the traffic, RF quality (RFQU), RF monitoring (RFM) statistical data, and fault reason code received from the mobile communication system; A first acceptability failure analysis step of analyzing a likelihood of accept failure using traffic, channel, neighbor cell data, and RFQU statistical data of the own cell received from the mobile communication system; An interference neighbor base station analysis step of detecting a neighbor base station generating an interference signal by using traffic, RFQU, and RFM statistical data of the neighbor cell received from the mobile communication system; And a transient neighbor base station analysis step of detecting a transient handover base station and a transient power usage base station using traffic, handover, power usage, and RFQU statistical data of the neighbor cell received from the mobile communication system. It features.

Description

Method for Call Fail Cause Analysis in Mobile Communication System

The present invention relates to a method of analyzing a cause of a failure of a call connection in a mobile communication system and a computer-readable recording medium recording a program for realizing the method. In particular, the state, configuration, and performance of a network composed of a wired / wireless network And a method for analyzing the cause of a call connection failure in a mobile communication system to provide an optimal solution in real time by verifying a solution corresponding to a cause of network performance problem identified by a failure and radio frequency (RF) factor The present invention relates to a computer-readable recording medium having recorded thereon a program for realizing this.

In general, call quality of a network such as a mobile communication network, a personal mobile communication network, a wireless data network, a frequency common communication network, and a next generation mobile communication network (for example, IMT-2000) is changed according to the mobile terminal and the load of a base station. That is, when subscribers are gathered to a specific base station, call quality is degraded due to interference of the channel, thereby reducing the service radius of the base station. Then, the mobile communication terminal that was talking at the base station boundary point is handed off to the adjacent base station or the call is disconnected. When the situation in which the call of the mobile communication terminal is disconnected frequently occurs, the dissatisfaction of subscribers is increased.

Conventionally, when a problem such as call disconnection due to poor call quality occurs in a specific area, the network measurement equipment is taken to the area to analyze the cause, and the received power level of the mobile communication terminal is measured or the mobile communication terminal is measured by the network measurement equipment. A test call was generated to analyze the cause of the problem.

As such, in the past, when a call connection failure occurred, the system directly went to the corresponding area to measure the performance of the network, analyzed the measured results, and found the problem. Therefore, it took a long time to solve a simple problem. Conventionally, by analyzing the obstacles using simple information obtained by measuring directly with the network measuring equipment at a certain point in a specific area where a call failure occurs, the information has to be very limited. There was a problem that the network operation cost may be excessive.

In addition, in order to analyze the cause of the call connection failure in the mobile communication system, in addition to the problems of the fields described above, the state of the radio (RF) system including the antenna, the base station, the control station, and the core network (mobile switching center and location register, etc.) It was very difficult for the network engineer to find out the exact cause of the performance deterioration because it had to simultaneously identify the problems such as performance and parameters.

The present invention has been proposed to solve the problems of the prior art as described above, when monitoring the main performance indicators (KPI) of the mobile communication system while detecting the degradation of the key performance indicators (KPI) network (mobile communication system) The purpose of the present invention is to provide a method for analyzing the cause of a call connection failure in a mobile communication system, by collecting data from the network and analyzing the cause of network degradation.

In addition, the present invention monitors the key performance indicator (KPI) of the mobile communication system and detects the degradation of the key performance indicator (KPI) by collecting data from the network (mobile communication system) by analyzing the causes of network performance degradation, Another object is to provide a computer-readable recording medium having recorded thereon a program for realizing a function for providing a cause of performance degradation in real time.

1 is a block diagram of an analysis apparatus for optimizing network performance of a mobile communication system to which the present invention is applied.

2 is a flowchart illustrating a method for analyzing a cause of a call connection failure in a mobile communication system according to the present invention.

3 is a detailed flowchart illustrating an exemplary base station detection process in a method for analyzing a cause of a failure in call connection in a mobile communication system according to the present invention.

4 is an embodiment graph illustrating the correlation between data (parameters) for sector / frequency allocation.

FIG. 5 is a detailed flowchart illustrating a process of presenting a possibility of accepting failure in a method for analyzing a cause of a failure of a call connection in a mobile communication system according to the present invention.

6 is a detailed flowchart illustrating an interference base station detection process in a method for analyzing a cause of a failure of a call connection in a mobile communication system according to the present invention.

7A is a graph illustrating an example of a correlation between an average forward power gain of a neighbor cell list and a trial number.

7B is a graph illustrating an example of a correlation between the number of attempts in a neighbor cell list and transmission power.

* Explanation of symbols for the main parts of the drawings

100: main server unit 110: database unit

121: call failure cause analysis unit 122: cell optimization analysis unit

130: network data statistical analysis unit 140: performance indicator monitoring unit

150: web server unit 160: operator terminal

210: network management unit 220: base station management unit

230: RF monitoring unit 240: quality control unit

250: simulation unit

According to an aspect of the present invention, there is provided a method of analyzing a cause of failure of a call connection in a mobile communication system, the method comprising: detecting a KPI degradation of a main performance indicator (KPI) of a specific base station; A base station error analysis step of analyzing a correlation between the data for the specific base station received from the mobile communication system and the KPI degradation and analyzing the error for the specific base station; A system parameter error analyzing step of analyzing an error of a system parameter setting value received from the mobile communication system; RF unnecessary wave analysis for analyzing the cause of KPI degradation due to RF unwanted wave by using a correlation between the occurrence time of the radio frequency (RF) unwanted wave alarm of the specific base station received from the mobile communication system and the KPI degradation step; An abnormal base station analyzing step of detecting an abnormal base station by regressing the traffic, RF quality (RFQU), RF monitoring (RFM) statistical data, and fault reason code received from the mobile communication system; A first acceptability failure analysis step of analyzing a likelihood of accept failure using traffic, channel, neighbor cell data, and RFQU statistical data of the own cell received from the mobile communication system; An interference neighbor base station analysis step of detecting a neighbor base station generating an interference signal by using traffic, RFQU, and RFM statistical data of the neighbor cell received from the mobile communication system; And a transient neighbor base station analysis step of detecting a transient handover base station and a transient power usage base station using traffic, handover, power usage, and RFQU statistical data of the neighbor cell received from the mobile communication system. It features.

In addition, the present invention provides a call connection failure cause analysis device having a processor, a KPI degradation detection function for detecting a degradation of the KPI of a specific base station; A base station error analysis function that analyzes an error of the specific base station by analyzing a correlation between the data for the specific base station received from the mobile communication system and the KPI degradation; A system parameter error analysis function for analyzing an error of a system parameter setting value received from the mobile communication system; RF unnecessary wave analysis for analyzing the cause of KPI degradation due to RF unwanted wave by using a correlation between the occurrence time of the radio frequency (RF) unwanted wave alarm of the specific base station received from the mobile communication system and the KPI degradation function; An abnormal base station analysis function that detects an abnormal base station by regression analysis of traffic, RF quality (RFQU), RF monitoring (RFM) statistical data, and fault reason code of the own cell received from the mobile communication system; A first acceptance failure possibility analysis function for analyzing a possibility of acceptance failure using the traffic, channel, neighbor cell data, and RFQU statistical data of the own cell received from the mobile communication system; An interference neighbor base station analysis function for detecting a neighbor base station generating an interference signal by using the traffic, RFQU, and RFM statistical data of the neighbor cell received from the mobile communication system; And a transient neighbor base station analysis function for detecting a transient handover base station and a transient power usage base station using traffic, handover, power usage, and RFQU statistical data of the neighbor cell received from the mobile communication system. And a computer readable recording medium having recorded thereon the program.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Note that the network in the present invention will be used as a generic term for wired / wireless networks.

1 is a block diagram of an analysis apparatus for optimizing network performance of a mobile communication system to which the present invention is applied.

As shown in FIG. 1, an analysis apparatus for optimizing network performance of a mobile communication system to which the present invention is applied includes a main server unit 100, a database unit 110, a call connection failure cause analysis and a cell optimization analysis unit ( 120; Call Fail Cause Analysis & Cell Optimization Analysis; hereinafter referred to as 'CFCA & COA'), Network Data Statistics Analysis (130; NDSA), and Performance Indicator Monitor 140 Indicator Monitoring (hereinafter referred to as a 'PIM unit'), a web server unit 150 and a plurality of operator terminal 160.

In addition, the analysis device for optimizing the network performance of the mobile communication system to which the present invention is applied, the network management unit 210 (Network Management System (NMS)), the base station management unit 220 (Base Station Management System (BSM)), RF monitoring unit ( 230, an RF monitoring system (RFM), a quality management unit 240 (QMS), and a simulation unit 250 (dynamic & static simulator).

The network manager 210 collects and analyzes data related to performance, failure, configuration, and RF from mobile communication equipment of a base station, a base station controller, a switch, and the like (not shown) during operation of the network to determine whether there is an abnormality in the network. It is responsible for the function of transmitting the resulting network management data to the main server unit (100).

The base station manager 220 collects and analyzes PLD (Programmable Loded Data) and call control-related radio network parameters of a system from a base station and a base station controller (not shown) to determine whether there is an abnormality in the network, and the base station obtained as a result. It is responsible for the function of transmitting data to the main server unit (100).

The RF monitoring unit 230 measures a waveform of a signal, a channel power, a spurious radiation, and the like at a base station RF transmitting / receiving terminal (not shown). It is responsible for the function of transmitting to the server unit (100).

The quality control unit 240 collects the performance data measured in the field, makes a database, and delivers the data to the main server unit 100.

In addition, the simulation unit 250 is in charge of a function (Static Simulator) for predicting the propagation attenuation of the signal emitted from the base station using the terrain data and transmitting it to the main server unit 100, the subscriber over time It is responsible for predicting the movement of the signal, attenuation effect, power control, and so on.

As such, the data (parameters) collected by the network manager 210, the base station manager 220, the RF monitor 230, the quality manager 240, and the simulation unit 250 are stored in the main unit. It is transmitted to the server unit 100 in real time.

Meanwhile, the main server unit 100 receives data (parameters) from the network manager 210, the base station manager 220, the RF monitor 230, the quality manager 240, and the simulator 250. ) And receives and stores the data in the database unit 110.

In addition, the main server unit 100 receives data received from the network manager 210, the base station manager 220, the RF monitor 230, the quality manager 240, and the simulation unit 250. (Parameter) is transmitted to the CFCA & COA 120, the NDSA 130 and the PIM 140, and receives analysis result data from the CFCA & COA 120, the NDSA 130 and the PIM 140, It is responsible for the function of storing in the database unit 110.

The database unit 110 is responsible for storing analysis data under the control of the main server unit 100.

The web server unit 150 is responsible for providing an environment in which an operator can check the analysis result data in real time through the operator terminal 160.

That is, the operator may check the analysis result data in real time through the operator terminal 160, and may diagnose and optimize a network problem according to the analysis result data.

The NDSA unit 130 is responsible for analyzing a cause of network performance degradation by performing correlation analysis on the data transmitted from the main server unit 100 every predetermined time unit (for example, one hour unit).

The PIM unit 140 uses the data transmitted from the main server unit 100 every predetermined time unit (for example, every 15 minutes or 1 hour), and the main performance of the performance of each base station or sector by sector. Monitor key performance indicators (hereinafter referred to as KPIs) and monitor efficiency KPIs such as handover, Q-factor, and paging response rates during the busy hours of the day. It is in charge of the function.

In the present invention, the KPI will indicate a call traffic rate, a call completion rate, and a call drop rate.

The CFCA & COA unit 120 includes a CFCA unit 121 and a COA unit 122.

First, the CFCA unit 121 is responsible for analyzing the data received from the main server unit 100 to check the system and the radio link to analyze the cause of the call failure. At this time, the system check may be performed by analyzing system alarms (ALM), system faults (FLT), F3000 messages and system parameters, and the radio link check may be performed by forward / reverse respective RF spurious and RF alarms, This can be accomplished by analyzing traffic channels, own cell interference, and other cell interference.

In addition, the COA unit 122 is responsible for analyzing cell optimization by checking a handover success rate and handover overhead. The cell optimization analysis may be performed by analyzing a Q-factor, a paging response rate, a traffic channel element (TCE) usage rate, etc. to determine the traffic balance between sectors of the base station.

The present invention relates to a method for analyzing the cause of the failure of call connection of the CFCA unit 121. That is, in the method for analyzing the cause of the failure of the call connection according to the present invention, in the environment where the main server unit 100, the NDSA unit 130, and the PIM unit 140 exist, the CFCA unit 121 is organically associated with them. It can be said to be made in conjunction with.

2 is a flowchart illustrating a method for analyzing a cause of a call connection failure in a mobile communication system according to the present invention.

First, the CFCA unit 121 receives a KPI degradation message for a specific base station from the PIM unit 140 (S201). In this case, the KPI degradation message may include a degradation base station / sector, a degradation date / time, a degradation item, and the like. The PIM unit 140 detects a degradation of a main performance indicator (KPI) of a specific base station and corresponds thereto. The KPI degradation message for the specific base station is transmitted to the CFCA unit 121.

When the CFCA unit 121 receives data (data about base station alarm, fault, status, etc.) for the specific base station from the main server unit 100 (S203), NDSA The controller 130 requests a correlation analysis between an occurrence time of an alarm, a failure, a state, etc., and the KPI drop for the specific base station, and receives the result (S205).

Then, the CFCA unit 121 uses the analysis result received from the NDSA 130 unit (the correlation analysis result between the occurrence time of the alarm, failure, status, etc. for the specific base station and the KPI degradation). The error for the specific base station is analyzed (S207). That is, the hardware failure of the base station due to the alarm occurrence effect is analyzed, the bad board is detected by analyzing the F3000 message occurrence rate for each base station board, and the common air interface (CAI) is analyzed through the F3000 message call flow analysis. Detect message loss.

In this case, the F3000 message is a message generated by the exchange and the base station controller when the subscriber attempts to call normally, but fails to connect with the base station, fails to connect to the switching center, or disconnects a call. The resource allocation can be inferred by analyzing the F3000 message. Resources refer to boards and wire / wireless links (wireless channel codes, transmission paths) used by individual calls.

On the other hand, when the CFCA unit 121 receives the system parameter setting value from the main server unit 100 (S209), an error of the system parameter setting value is analyzed (S211).

When the CFCA unit 121 receives the RF spurious alarm of the base station (S213), the CFCA unit 121 requests the NDSA unit 130 to analyze the correlation between the occurrence time of the RF wave and the degradation of the KPI. After receiving the result (S215), it analyzes the cause of the KPI degradation due to the generation of RF disturbance (S217).

In addition, the CFCA unit 121 is a traffic of its own cell, RF Quality (hereinafter referred to as 'RFQU'), RF Monitor (hereinafter referred to as 'RFM') statistical data, and failure cause code (Fault When receiving a reason code (S219), the NDSA unit 130 requests a regression analysis to receive the result (S221), and detects an abnormal base station using the same (S223).

Hereinafter, a process of detecting an abnormal base station will be described in more detail with reference to FIG. 3.

3 is a detailed flowchart illustrating an abnormal base station detection process in a method for analyzing a cause of a failure of a call connection in a mobile communication system according to the present invention.

First, the CFCA unit 121 requests the main server unit 100 for data on the sector / frequency allocation and receives the result (S301). At this time, the data on the sector / frequency allocation, the communication number, the average forward power gain (hereinafter referred to as "AVG_FPG"), the initial forward power gain (hereinafter referred to as "INIT_FPG") ), Transmitting power (hereinafter referred to as "TX_PWR"), traffic rate, and total receiving interference (hereinafter referred to as "TOT_RX_INT").

Then, using the data on the sector / frequency allocation received from the main server unit 100, a graph of the correlation between the parameters (AVG_FPG, INIT_FPG, TX_PWR, TOT_RX_INT) is made, and then the main server unit ( 100 to be stored in the storage unit 110 (S303).

Thereafter, the CFCA unit 121 requests the NDSA unit 130 for statistical analysis of data on sector / frequency allocation received from the main server unit 100 and receives the result (S305). In this case, the statistical analysis performed by the NDSA unit 130 includes calculation of a scatter plot and a regression equation of the corresponding communication number of the sector / frequency allocation and AVG_FPG, INIT_FPG, and TOT_RX_INT.

4 is an embodiment graph illustrating the correlation between data (parameters) for sector / frequency allocation.

As shown in FIG. 4, the statistical analysis performed by the NDSA unit 130 calculates a regression equation between the communication number and TOT_RX_INT and displays the relationship between the trial number and TOT_RX_INT at the time point of the performance degradation, and obtains a scatter plot. The degree of deviation from the relational expression (regression equation) is represented by distance.

At this time, when each distance exceeds a predetermined threshold, the base station is determined to be an abnormal base station.

That is, the CFCA unit 121 determines whether the distance of the corresponding base station exceeds a threshold value from the statistical analysis result received from the NDSA unit 130 (S307), and if it does not exceed, it is received from the NDSA unit 130. The statistical analysis result is transmitted to the main server unit 100 to be stored (S311). On the other hand, when the determination result (S307), if the distance exceeds the threshold, it is determined that the forward / reverse link problem and the interference / coverage (Coverage) problem of the base station (S309), the analysis result is the main server unit ( 100 to be stored in the storage unit 110 (S311).

Meanwhile, when the CFCA unit 121 receives traffic, channel, neighbor cell data, and RFQU statistical data from its own cell (S225), it analyzes available Erlang usage and available power of the own cell. A possibility of failure to accept is presented (S227).

At this time, Erlang is a unit of quantity, and there is no dimension, and 1 is called a unit. That is, when one line is observed for 1 hour, all of the hour shows the quantity of the in-use. Or the quantity when the arbitrary line group was observed at arbitrary time is shown. For example, if five lines were used when an arbitrary group of lines was observed at an arbitrary time, the quantity of call at that time is five eggs.

Hereinafter, a method of presenting a possibility of acceptance failure will be described in detail with reference to FIG. 5.

FIG. 5 is a detailed flowchart illustrating a process of presenting a possibility of accepting failure in a method for analyzing a cause of a failure of a call connection in a mobile communication system according to the present invention.

First, the CFCA unit 121 is a performance monitoring system (hereinafter, referred to as 'PMS') (not shown) included in a mobile communication system, and the average of a predetermined time (for example, one hour) is used. It requests and receives the channel element occupancy time of the call origin / incoming Erlang data and the channel average traffic, and the average channel occupancy time of the handover (H / O) call (S501).

In this case, the PMS refers to a system that receives and stores traffic data, handover data, RFQU data, etc., for one hour from a base station, a control station, and a switch.

In addition, the CFCA unit 121 stores the data received from the PMS (Average call / receive Erlang data and channel element occupancy time of channel average traffic, average channel occupancy time of a handover (H / O) call). The ratio of the occupied time of the incoming / outgoing traffic to the occupied time of the handover call is calculated (S503). In addition, the average handover Erlang is obtained by using the ratio of the average call origination / incoming Erlang data and the occupancy time of the call origination / incoming traffic to handover call (S505).

In addition, the CFCA unit 121 calculates a linear scale value of the AVG_FPG received from the PMS using Equation 1 below (S507).

In addition, the CFCA unit 121 calculates the average number of occupied incoming / outgoing channel elements (CEs) by using the average call / receiving Erlang data and Equation 2 below, and then calculates the result as shown in Equation 3 below. The average occupied incoming / outgoing channel element (CD) number is multiplied by the linear AVG_FPG obtained from Equation 1 to obtain the average available incoming / outgoing power power PwrUsg (S509).

here, Is the number of channel elements currently occupied by incoming / outgoing traffic, Denotes the total time, in seconds, that the i- th Channel Element Processor (hereinafter referred to as "CEP") has serviced an outgoing signal for one hour. Also, Denotes the total time, in seconds, for serving an incoming call for one hour in the i th CEP.

That is, the CEP is a processor for allocating and managing base station channel resources, and a plurality of CEPs exist in one base station.

here, Represents the ratio of power used by incoming / outgoing traffic to total power, and MaxPwrGain As a linear measure of the maximum assignable power gain. In addition, the MaxAVG_FPG indicates the maximum power gain that can be allocated.

Thereafter, the average occupied handover channel element number is calculated as Equation 4 using the average handover Erlang value, and the average occupied handover channel element number is multiplied by a linear AVG_FPG to obtain the handover available power (Equation 5). Power Usage) is obtained (S511).

In the above formula, Is the number of channel elements currently occupied by incoming / outgoing traffic, Represents the ratio of channel occupancy time of outgoing / incoming traffic to channel occupancy time of handover in the channel traffic statistics.

here, Represents handover available power.

Admission control is performed when several users are concurrently used at the base station. In this case, the admission control means that when the power resource possessed by the base station is allocated to each user, if a certain threshold is exceeded, the user no longer receives the user.

Therefore, the possibility of acceptance failure of the corresponding base station is presented using the data obtained above, and the analysis result is transmitted to the main server unit 100 to be stored in the storage unit 110 (S513).

When the CFCA unit 121 receives the traffic of the neighbor cell, the RFQU, and the RFM statistical data (S229), the neighbor base station generating the interference signal through the analysis of the number of traffic versus the average traffic digital gain and the transmission power of the neighbor cell. It is detected (S231).

A process of detecting an interfering base station will be described in more detail with reference to FIG. 6.

FIG. 6 is a detailed flowchart illustrating an interference base station detection process in a method for analyzing a cause of failure of a call connection in a mobile communication system according to the present invention.

First, the CFCA unit 121 requests the main server unit 100 for data of a predetermined period (for example, one day ago) for a neighbor cell list of a specific sector / frequency allocation and receives it (S601). . Then, the main server unit 100 requests data about the neighbor cell included in the neighbor cell list of the specific sector / frequency allocation and receives the received data (S603). At this time, the data for the neighbor cell included in the neighbor cell list includes a communication number, AVG_FPG, INIT_FPG, TX_PWR, traffic rate, and TOT_RX_INT.

Thereafter, the CFCA unit 121 uses each parameter of the neighbor cell included in the neighbor cell list received from the main server unit 100 (traffic number, AVG_FPG, INIT_FPG, TX_PWR, traffic rate, and TOT_RX_INT). A graph of the correlation between the communication number, AVG_FPG, INIT_FPG, TX_PWR, traffic rate, and TOT_RX_INT is prepared as shown in FIGS. 7A and 7B, and then transmitted to the main server unit 100 to the storage unit 110. To be stored (S605).

7A is a graph illustrating a correlation between an average forward power gain of a neighbor cell list and a trial call number, and FIG. 7B is a graph illustrating a correlation between a trial call number and a transmission power of a neighbor cell list. to be.

Meanwhile, the CFCA unit 121 requests statistical analysis from the NDSA unit 130 and receives the result (S607). In this case, the statistical analysis includes a trend analysis of the communication numbers of adjacent sectors, AVG_FPG, TX_PWR, and TOT_RX_INT, and calculation of a regression equation.

Thereafter, a trend of AVG_FPG, TX_PWR, and TOT_RX_INT compared to the communication call is obtained, and a reliability interval is calculated (S609). The difference between the data of each current neighboring cell and the trend line is obtained, and it is checked whether the difference is greater than the confidence interval (S611).

If the difference between the respective data and the trend line is smaller than the confidence interval, the analysis result is transmitted to the main server unit 100 to be stored (S615). However, if the difference between the respective data and the trend line is larger than the confidence interval, the forward / reverse link problem and the interference / coverage are determined as the cause of the problem (S613), and the result of the analysis is the main server unit 100. It is transmitted to be stored in (S615).

On the other hand, when the CFCA unit 121 receives the traffic, handover, RFQU statistical data of the neighbor cell (S233), the transient handover base station and the transient through the analysis of available Erlang and available power (Power Usage) for neighbor cell handover The power use base station is detected (S235).

Then, the analysis result is transmitted to the main server unit 100 to be stored (S237), and the analysis completion message is transmitted to the PIM unit 140.

The method of the present invention as described above may be stored in a computer-readable recording medium (CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, etc.) implemented as a program.

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are possible in the art without departing from the technical spirit of the present invention. It will be clear to those of ordinary knowledge.

As described above, the present invention has the effect of accurately analyzing the cause of a call connection failure by receiving data through interworking with various network management servers and performing analysis according to a predetermined system.

In addition, the present invention monitors and analyzes the causes of network performance degradation by using network configuration, status, failure, and RF data transmitted from a network management system, and provides them to the operator in real time, thereby allowing the operator to optimize the network. It has the effect of providing comprehensive evidence.

Claims (22)

In the method of analyzing the cause of call connection failure in a mobile communication system, A KPI degradation detection step of detecting a degradation of a KPI of a specific base station; A base station error analysis step of analyzing a correlation between the data for the specific base station received from the mobile communication system and the KPI degradation and analyzing the error for the specific base station; A system parameter error analyzing step of analyzing an error of a system parameter setting value received from the mobile communication system; RF unnecessary wave analysis for analyzing the cause of KPI degradation due to RF unwanted wave by using a correlation between the occurrence time of the radio frequency (RF) unwanted wave alarm of the specific base station received from the mobile communication system and the KPI degradation step; An abnormal base station analyzing step of detecting an abnormal base station by regressing the traffic, RF quality (RFQU), RF monitoring (RFM) statistical data, and fault reason code received from the mobile communication system; A first acceptability failure analysis step of analyzing a likelihood of accept failure using traffic, channel, neighbor cell data, and RFQU statistical data of the own cell received from the mobile communication system; An interference neighbor base station analysis step of detecting a neighbor base station generating an interference signal by using traffic, RFQU, and RFM statistical data of the neighbor cell received from the mobile communication system; And Transient neighbor base station analysis step of detecting the transient handover base station and the transient power usage base station using the traffic, handover, power usage and RFQU statistics data of the neighbor cell received from the mobile communication system Call connection failure cause analysis method in a mobile communication system comprising a. The method of claim 1, A storage step of storing a result of performing each analysis step; And Analysis result output step of outputting the execution result of each stored analysis step according to the analysis result request signal Call connection failure cause analysis method in a mobile communication system further comprising. The method according to claim 1 or 2, The KPI is A method for analyzing the cause of failure of a call connection in a mobile communication system, comprising a call traffic rate, a call completion rate, and a call failure rate. The method of claim 3, wherein The KPI degradation detection step, Analyzing the cause of the failure of a call connection in a mobile communication system, by detecting a degradation of a key performance indicator (KPI) of a specific base station and performing each analysis step according to a degraded base station / sector, a date / time of degradation, and a degradation item. Way. The method of claim 1, The base station error analysis step, A base station data receiving step of receiving data for the specific base station; A first analysis step of analyzing a correlation between generation time of data for the specific base station and the KPI drop; A second analysis step of analyzing a hardware failure of the specific base station using the analyzed correlation; A third analysis step of detecting a defective board by calculating a rate of generation of F3000 messages for each board using the analyzed correlation; And A fourth analysis step of detecting a loss of a common air interface (CAI) message using the analyzed correlation Call connection failure cause analysis method in a mobile communication system comprising a. The method according to claim 1 or 5, The data for the specific base station, A method for analyzing the cause of a call connection failure in a mobile communication system, comprising a base station alarm, a fault, and a status. The method of claim 1, The RF impurity analysis step, Receiving an RF unwanted wave alarm for receiving an RF unwanted wave alarm of the specific base station; A fifth analysis step of analyzing a correlation between the RF unnecessary wave occurrence time point and the KPI drop; And A sixth analysis step of analyzing the cause of the KPI degradation due to the generation of RF disturbances using the analyzed correlation Call connection failure cause analysis method in a mobile communication system comprising a. The method of claim 1, The abnormal base station analysis step, A first statistical data receiving step of receiving traffic, RF quality (RFQU), and RF monitoring (RFM) statistical data of the own cell from the mobile communication system; Requesting data on the sector / frequency allocation from the mobile communication system and receiving the sector / frequency data; A first graph preparation step of analyzing a correlation between data on sector / frequency allocation received in the sector / frequency data reception step and generating a graph and storing the graph; A statistical analysis step of obtaining a distance by statistically analyzing data on sector / frequency allocation received in the sector / frequency data receiving step; And An abnormal base station detection step of detecting a corresponding base station whose distance exceeds a predetermined threshold as an abnormal base station having a forward / reverse link problem and an interference / coverage problem Call connection failure cause analysis method in a mobile communication system comprising a. The method of claim 8, Data for the sector / frequency allocation, Cause of call connection failure in a mobile communication system including traffic number, average forward power gain (AVG_FPG), initial forward power gain (INIT_FPG), transmit power (TX_PWR), traffic rate and total receive interference (TOT_RX_INT) Analytical Method. The method of claim 9, The statistical analysis, And a scatter plot of the relationship between the communication number and the TOT_RX_INT and the TOT_RX_INT at the time of generating the KPI resistance. The method of claim 10, The distance, The scatter plot indicates the degree of deviation from the regression equation. The method of claim 1, The first acceptance failure analysis step, A second statistical data receiving step of receiving traffic, channel, neighbor cell data, and RFQU statistical data of the own cell from the mobile communication system; Requesting data of the traffic statistics table and the RF quality table for a predetermined time from the mobile communication system, and receiving the traffic data; Calculating an average handover Erlang ratio by using the data in the traffic statistics table to obtain a ratio of time occupied to incoming / outgoing traffic to occupancy time of the handover call; Calculating average linear / incoming available power using the data of the RF quality table to obtain a linear scale value of AVG_FPG, obtaining average number of occupied / called channel elements, and calculating average available / incoming available power; A handover available power calculating step of calculating an average occupied handover channel element number using the average handover Erlang and calculating handover available power using the average handover Erlang; And A second acceptance failure possibility analysis step of analyzing a possibility of acceptance failure of the corresponding base station by using the average handover Erlang, average call / receive available power, and handover available power calculated above; Call connection failure cause analysis method in a mobile communication system comprising a. The method of claim 12, The data of the traffic statistics table is, A method for analyzing a cause of a call connection failure in a mobile communication system, comprising average call / call arrival data, channel element occupancy time of channel average traffic, and average channel occupancy time of a handover call. The method of claim 12, The linear scale value of AVG_FPG is Method for analyzing the cause of call connection failure in a mobile communication system, characterized in that determined by the following equation. (only, Represents a linear scale value of the AVG_FPG) The method of claim 12, The average occupied incoming / outgoing channel element number is Method for analyzing the cause of call connection failure in a mobile communication system, characterized in that determined by the following equation. (only, Is the number of channel elements currently occupied by incoming / outgoing traffic, Is the total time, in seconds, that the i- th Channel Element Processor (CEP) has serviced an outgoing call for one hour. Also, Denotes the total time of serving the incoming call for one hour in the i th CEP in seconds) The method of claim 12, The available power, Method for analyzing the cause of call connection failure in a mobile communication system, characterized in that determined by the following equation. (only, Represents the ratio of power used by incoming / outgoing traffic to total power, and MaxPwrGain Is a linear measure of the maximum assignable power gain. In addition, MaxAVG_FPG represents the maximum power gain that can be allocated) The method of claim 12, The average occupied handover channel element number is Method for analyzing the cause of call connection failure in a mobile communication system, characterized in that determined by the following equation. (only, Represents the number of channel elements currently occupied by incoming / outgoing traffic, Represents the ratio of channel occupancy time of incoming / outgoing traffic to channel occupancy time of handover in the channel traffic statistics) The method of claim 12, The handover available power, Method for analyzing the cause of call connection failure in a mobile communication system, characterized in that determined by the following equation. (only, Indicates handover available power) The method of claim 1, The interference neighbor base station analysis step, A third statistical data receiving step of receiving traffic, RFQU, and RFM statistical data of an adjacent cell from the mobile communication system; A neighbor cell list receiving step of requesting a neighbor cell list before a preset period to the mobile communication system and receiving the neighbor cell list; Requesting data for a plurality of neighbor cells included in the neighbor cell list and receiving the neighbor cell data; A second graph preparation step of generating a correlation between the received neighbor cell data as a graph and storing the correlation; Calculating a trend equation and a confidence interval of each data by statistically analyzing the received neighbor cell data; And Detecting an adjacent neighbor base station having a difference between the received neighbor cell data and the trend equation greater than the confidence interval as an adjacent neighbor base station having forward / reverse link problems and interference / coverage problems; Call connection failure cause analysis method in a mobile communication system comprising a. The method of claim 19, Data for the plurality of neighbor cells, A method for analyzing the cause of a call connection failure in a mobile communication system, comprising a communication number, AVG_FPG, INIT_FPG, TX_PWR, traffic rate, and TOT_RX_INT. The method of claim 20, The trend equation and the confidence interval calculation step, And a trend analysis of the communication numbers of the plurality of neighbor cells and AVG_FPG, TX_PWR, and TOT_RX_INT, and calculation of a regression equation. In a call failure cause analysis device having a processor, KPI degradation detection for detecting degradation of key performance indicators (KPIs) of specific base stations; A base station error analysis function that analyzes an error of the specific base station by analyzing a correlation between the data for the specific base station received from the mobile communication system and the KPI degradation; A system parameter error analysis function for analyzing an error of a system parameter setting value received from the mobile communication system; RF unnecessary wave analysis for analyzing the cause of KPI degradation due to RF unwanted wave by using a correlation between the occurrence time of the radio frequency (RF) unwanted wave alarm of the specific base station received from the mobile communication system and the KPI degradation function; An abnormal base station analysis function that detects an abnormal base station by regression analysis of traffic, RF quality (RFQU), RF monitoring (RFM) statistical data, and fault reason code of the own cell received from the mobile communication system; A first acceptance failure possibility analysis function for analyzing a possibility of acceptance failure using the traffic, channel, neighbor cell data, and RFQU statistical data of the own cell received from the mobile communication system; An interference neighbor base station analysis function for detecting a neighbor base station generating an interference signal by using the traffic, RFQU, and RFM statistical data of the neighbor cell received from the mobile communication system; And Transient neighbor base station analysis function for detecting a transient handover base station and a transient power usage base station using traffic, handover, power usage, and RFQU statistical data of the neighbor cell received from the mobile communication system A computer-readable recording medium having recorded thereon a program for realizing this.