CN104363130B - The system and method for network quality case study location control is realized in communication network - Google Patents

Abstract

The present invention relates to a system and method for realizing network quality problem analysis and positioning control in a communication network, which includes a network quality detection module, an index analysis and decomposition module, an index collection module and a network problem location module. When the problem analysis instruction is sent to the index analysis and decomposition module, the index analysis and decomposition module obtains the second-level problem indicators by analyzing and decomposing the first-level business indicators, and the indicator collection module collects all the third-level indicators corresponding to the second-level problem indicators. The problem location module analyzes all three-level indicators to determine the location of the problem network element. The system and method for analyzing, locating and controlling network quality problems in the communication network of the present invention are no longer limited to rigid KPI evaluation standards, and use business KQI as the benchmark for network quality analysis to flexibly judge whether there is a problem in the communication network, and realize comprehensive While ensuring high accuracy for analysis, it has a wider range of applications.

Description

System and method for analyzing, locating and controlling network quality problems in a communication network

technical field

The present invention relates to the field of network quality analysis, in particular to the field of network quality analysis and problem location, and specifically refers to a system and method for realizing network quality problem analysis, location and control in a communication network.

Background technique

A foreign operator’s survey shows that among customers with negative user experience, 98% choose not to complain, and half of them switch to the network directly. This also causes the operator to lose a large number of customers when the network operation indicators are good. . Traditional network optimization and evaluation methods have been difficult to adapt to new customer needs, and new network optimization aimed at improving user perception has become a consensus in the industry.

The traditional network quality assessment adopts the evaluation system of KPI (Key Performance Indication). KPI is a key performance indicator, which is usually an important parameter that can be monitored and measured at the network level. KPI can reflect network quality from one side, but cannot reflect the overall quality of the network, let alone user experience, because a single KPI can only reflect network performance from one side, and often has extremely high limitations.

For example, the traditional network quality inspection requires the network to meet each KPI. If the network has just passed each KPI, it is judged that the network quality is qualified, but in fact the network quality is probably not good; if the overall network KPI is very Excellent, only one non-important KPI has just failed to meet the requirements. At this time, the quality of the network is likely to be very good, and we will judge the quality of the network according to the KPI. Similarly, a communication network may be qualified in an area where video usage is low , it will not work in areas where video is used a lot.

The following is a specific scenario to discuss the problems faced by the current mobile network testing system:

When a user in a certain area watched videos on the data network, he found that the experience was not good, and the video was stuck and unclear. However, after analyzing the drive test data, it was found that the key performance indicators KPI in this user area were very good, specifically shown in the user's The coverage rate of the cell is already 100%, RRC (Radio Resource Control, radio resource control protocol) connection success rate, RAB (Radio Access Bearer, user plane bearer) establishment success rate, wireless connection rate and RNC (Radio Network Controller, wireless network controller) soft handover success rate and other related indicators are above 95%; and through core network testing, it is found that the network quality KQI (Key Quality Indicators, key quality indicators) is also very good: the monitored TCP (Transmission Control Protocol, Transmission Control Protocol) low retransmission rate, small round-trip time RTT (Round-Trip Time), small delay, etc.; usually, according to this series of tests, it is considered that the network condition is very good and has reached the standard. However, the actual situation is that the experience reflected by the user side is very poor. From this, it can be seen that KPI and KQI cannot fully reflect the user experience.

Therefore, in terms of network quality analysis, an index for comprehensive evaluation of the network is more needed. It is urgent to model and analyze traditional network monitoring indicators such as KPI and KQI with different applications, such as using the Qoe index (Quality of Experience, user experience index) to reflect the real user experience of the network.

In addition, services in the network determine the network's requirements for network quality. A network whose information is all e-mail and a network whose information is all instant video have different requirements for network quality. The services and network loads used in different regions are different. A network may successfully complete the task of network transmission in one region, but problems may arise when it needs to complete the task of network transmission in another region.

my country's operators are transforming from network optimization based on performance indicators to network optimization based on user perception. The following difficulties were encountered during the transformation process:

(1) First, there is a lack of an end-to-end service quality evaluation and analysis system based on user experience, including collection equipment, testing systems, and analysis software tools, to improve user-oriented service management and user experience.

(2) Again, the network evaluation system based on user perception needs to be perfected and standardized. It is urgent to propose a complete and mature user experience quality system that truly reflects user perception and is operable. The association and mapping between key quality indicators KQI and key performance indicators KPI is the key to the evaluation system.

(3) Finally, user perception-oriented optimization theory and optimization methods are still immature and need to be explored and practiced further.

Correspondingly, for the detection of wireless network problems, the following problems are currently faced:

(1) How to determine whether there is a problem in the network or whether the network can meet the current service needs by judging the service quality.

(2) When it is confirmed that the current network has problems or cannot meet the current business needs, how can we estimate where the network may have problems and which components of the network may be damaged or fail to meet the needs based on the indicators of poor performance.

(3) Before finding the problem, it is necessary to collect a large amount of business error data, extract the business data that cannot meet the demand, and determine which component in the network has a problem depending on which network problems may be caused by each business that cannot meet the demand.

Contents of the invention

The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and provide a method that can judge whether there is a problem with the network quality through the service quality, find out the specific problematic network element from the network quality layer by layer, and avoid the traditional network quality evaluation A system and method for analyzing, locating, and controlling network quality problems in a communications network in which user experience problems cannot be discovered, comprehensive analysis, and high accuracy.

In order to achieve the above-mentioned purpose, the system and method for realizing the analysis, positioning and control of network quality problems in the communication network, the present invention has the following structure:

The system for realizing analysis, location and control of network quality problems in the communication network is characterized in that the system includes:

The network quality detection module is used to send the problem analysis instruction to the index analysis and decomposition module when there is a problem with the network quality;

The indicator analysis and decomposition module is used to analyze the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems, and decompose the first-level problem indicators to obtain corresponding second-level indicators, and analyze the above-mentioned The second-level indicators get the second-level problem indicators with problems;

The indicator collection module is used to collect all the third-level indicators corresponding to the second-level problem indicators, and send all the third-level indicators to the network problem location module;

The network problem location module is used to analyze all the third-level indicators collected by the indicator collection module, and determine the location of the problematic network element according to the analysis results.

Wherein, the first-level indicator is the key quality indicator corresponding to each service in the network, the second-level indicator is the key performance indicator corresponding to the first-level problem indicator, and the third-level indicator is the The key performance indicators of the network elements corresponding to the second-level problem indicators described above.

In addition, the present invention also provides a method for analyzing, locating and controlling network quality problems in a communication network, the method comprising the following steps:

(1) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module when a problem occurs in the network quality;

(2) The index analysis and decomposition module receives the problem analysis instruction, and analyzes the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems;

(3) The index analysis and decomposition module decomposes the first-level problem index to obtain the corresponding second-level index, and analyzes the second-level index to obtain the second-level problem index of the problem;

(4) The indicator collection module collects all the third-level indicators corresponding to the second-level problem indicators, and sends all the third-level indicators to the network problem location module;

(5) The network problem location module analyzes all the three-level indicators, and judges the location of the problem network element according to the analysis result.

Further, the network quality detection module sends the problem analysis instruction to the index analysis and decomposition module when a problem occurs in the network quality, including the following steps:

(1.1) The network quality detection module judges whether there is a problem with the network quality according to the user experience index corresponding to the network;

(1.2) If the judgment result is that there is a problem with the network quality, then continue to step (1.3), otherwise continue to step (1.1);

(1.3) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module.

Further, before the step (1), the following steps are included:

(0) The network quality detection module measures the service quality indicators corresponding to the various services of the network, and calculates the user experience indicators according to the service quality indicators.

Further, between described steps (3) and (4), the following steps are also included:

(3.1) The index analysis and decomposition module sends the information of the secondary problem index to the index collection module.

The system and method for analyzing, locating and controlling network quality problems in the communication network are adopted. When the QoE is lower than a certain value, we decompose the various business KQIs into KPIs to find the location of the problem. The analysis of network quality is no longer a The rigid requirements for KPIs are replaced by a flexible network quality analysis method.

At the same time, since communication networks in different environments have different specific quality requirements for services, the present invention integrates and classifies services in communication networks into six major types and their corresponding sub-services. When analyzing network quality, the communication network Taking into account the different requirements of different types of services and the impact of different requirements of corresponding sub-services, the service KQI is used as the benchmark of network quality analysis, so that the results of network quality analysis are more consistent with user experience.

The purpose of our network quality analysis is to evaluate user experience and detect network performance. User experience can only be evaluated by service quality. Therefore, we analyze network quality through service KQI, so we do not need to analyze the quality of network components at the beginning. There is no need to analyze the KPI of each service in the network, we only need to analyze the service performance. It is difficult to directly detect service performance through service KPIs, because service performance is not only determined by network performance, but also determined by terminal performance and application server performance, so analyzing network quality through service KQIs is more reliable than analyzing service KPIs.

If the poor quality of the network is only caused by the poor quality of the client or application server, we can judge it through the business KPI after we judge that the QoE is not up to standard. In this way, we will not mistakenly judge that there is a problem with the network element due to poor quality of the client or the application server, and realize the analysis of the whole network and all services, which can quickly and accurately reflect the real experience and perception of the user's service, which is more effective. Wide range of applications.

Description of drawings

FIG. 1 is a structural block diagram of a system for analyzing, locating and controlling network quality problems in a communication network according to the present invention.

FIG. 2 is a general flowchart of a method for analyzing, locating and controlling network quality problems in a communication network according to the present invention.

FIG. 3 is a diagram of the corresponding relationship between services and KQIs in the method for realizing analysis, location and control of network quality problems in the communication network of the present invention.

FIG. 4 is a graph showing the correspondence between the transmission speed and dimensionless KPI data of the method for analyzing, locating, and controlling network quality problems in the communication network of the present invention.

FIG. 5 is a diagram of the corresponding relationships among KPI, KQI and QoE of the method for analyzing, locating and controlling network quality problems in the communication network of the present invention.

detailed description

In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

Please refer to FIG. 1, in an implementation manner, the system for implementing analysis, location and control of network quality problems in a communication network includes:

The network quality detection module is used to send the problem analysis instruction to the index analysis and decomposition module when there is a problem with the network quality;

The indicator analysis and decomposition module is used to analyze the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems, and decompose the first-level problem indicators to obtain corresponding second-level indicators, and analyze the above-mentioned The second-level indicators get the second-level problem indicators with problems;

The indicator collection module is used to collect all the third-level indicators corresponding to the second-level problem indicators, and send all the third-level indicators to the network problem location module;

The network problem location module is used to analyze all the third-level indicators collected by the indicator collection module, and determine the location of the problematic network element according to the analysis results.

Wherein, the first-level indicator is the key quality indicator corresponding to each service in the network, the second-level indicator is the key performance indicator corresponding to the first-level problem indicator, and the third-level indicator is the The key performance indicators of the network elements corresponding to the second-level problem indicators described above.

In addition, the present invention also provides a method for analyzing and locating control of network quality problems in a communication network, as shown in FIG. 2 , the method includes the following steps:

(1) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module when a problem occurs in the network quality;

(2) The index analysis and decomposition module receives the problem analysis instruction, and analyzes the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems;

(3) The index analysis and decomposition module decomposes the first-level problem index to obtain the corresponding second-level index, and analyzes the second-level index to obtain the second-level problem index of the problem;

(4) The indicator collection module collects all the third-level indicators corresponding to the second-level problem indicators, and sends all the third-level indicators to the network problem location module;

(5) The network problem location module analyzes all the three-level indicators, and judges the location of the problem network element according to the analysis result.

In a preferred embodiment, the network quality detection module sends the problem analysis instruction to the index analysis and decomposition module when there is a problem with the network quality, including the following steps:

(1.1) The network quality detection module judges whether there is a problem with the network quality according to the user experience index corresponding to the network;

(1.2) If the judgment result is that there is a problem with the network quality, then continue to step (1.3), otherwise continue to step (1.1);

(1.3) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module.

In a more preferred embodiment, before the step (1), the following steps are included:

(0) The network quality detection module measures the service quality indicators corresponding to the various services of the network, and calculates the user experience indicators according to the service quality indicators.

In a preferred embodiment, between the steps (3) and (4), the following steps are also included:

(3.1) The index analysis and decomposition module sends the information of the secondary problem index to the index collection module.

The system judges whether there is a problem with the user experience index QoE according to the service quality index of each service, and each service quality index is determined by the KQI of the service. Although the user experience index QoE cannot be completely measured at the network end, it is It can be estimated according to the service quality index. Considering that different service networks have different specific quality requirements, a more optimized specific implementation is proposed on the basis of the above-mentioned system and method. This specific implementation includes two parts :

1) First, detect the sub-service KQI indicators of various services in the network, obtain the service KQI indicators of various services, and then estimate the user experience indicator QoE according to the frequency of use of different services in the network.

2) When there is a problem with the user experience index, we decompose the sub-service KQI indicators of various services into corresponding sub-service KPI indicators in the network. Among the decomposed sub-service KPI indicators, for the problematic sub-service KPI Indicators, we further detect the corresponding specific KPI indicators in the network, and the specific KPI indicators that are further detected may cause problems with the decomposed KPI indicators, and then find the location of the problem.

The first part is executed by the network quality detection module, and the second part is processed by the indicator analysis and decomposition module, the indicator collection module and the network problem location module.

By referring to the standardization document 3GPP2S.R0079-A "Support for End-to-End QoS" of the standardization organization 3gpp2, it is found that the document divides services into instant conversation, interaction, streaming media and background. Different services are used to analyze network quality, and different types of services have different network quality requirements. Same as this standard document of 3gpp2, the present invention also classifies business when analyzing network quality, thereby analyzes whether network quality satisfies business requirement, as shown in Figure 3, business is divided into six types, comprises webpage browsing business, page video Service, FTP download service, game service, email and instant messaging service, the use environment in the communication network determines that the frequency of use of different services is different, and the impact of different service KQI on user experience index QoE is not the same, so use different service KQI to calculate The user experience indicator QoE needs to consider the weight.

According to each service KQI and its corresponding service weight, the user experience index QoE can be estimated by calculation, wherein the service weight is determined by the frequency of use of the service. If we can obtain the activity of the entire communication network, then we can For a detailed understanding of all business conditions in the communication network, if we can only collect part of the data in the network, then we need to estimate the frequency of occurrence of each business in the communication network based on the frequency of occurrence of each business in the data we collect. The frequency of service use in different geographical locations may be different, so different services need to analyze the network quality objectively according to the frequency of service occurrence, and the service weight is represented by wi (i=a, b, c, d, e, f ), the six types of key quality indicators, namely web browsing KQI, page video KQI, FTP download KQI, game KQI, email KQI and instant messaging KQI are recorded as KQIa, KQIb, KQIc, KQId, KQIe and KQIf, user experience indicators The formula is as follows:

QoE=wa×KQIa+wb×KQIb+wc×KQIc+wd×KQId+we×KQIe+wf×KQIf

In addition, as shown in Figure 3, different services can be classified according to timeliness, availability, and fluency to obtain sub-service KQI, and the sub-service KQI has a specific mapping relationship with the corresponding sub-service KPI, and in the network quality detection After the module collects the sub-service KPI data of the network, each sub-service KPI data needs to be dimensionless. For example, the corresponding relationship between various transmission speeds and dimensionless sub-service KPI data is shown in Figure 4. The download speed is lower than A certain limit can also indicate that there is a problem with the network, such as congestion or other problems, but when the download speed is lower than a certain value, its dimensionless sub-service KPI drops rapidly, because it is difficult to prove the download speed at this time. The quality of the network and the slow download rate may be caused by the limited bandwidth purchased by the user.

The communication network is composed of various network elements. These network elements determine the network performance, such as the packet loss rate, and the network performance determines the service performance, such as the end-to-end delay of the page. At the same time, the service performance It determines the user experience. Taking the video service as an example, the video transmission quality is essentially determined by the network elements in the communication network, because the network elements determine the service KPI corresponding to the network performance such as the packet loss rate in the communication network and the service KPI. The sub-service KQIs corresponding to the KPIs include video end-to-end delay KQIs, video end-to-end success rate KQIs, and video transmission speeds. These service sub-service KQIs determine video service KQIs. The service KQI and the obtained KQIs of other services jointly determine the value of the user experience index QoE of the communication network.

According to the above corresponding relationship, the six types of key quality indicators, namely web browsing KQI, page video KQI, FTP download KQI, game KQI, email KQI and instant messaging KQI are recorded as KQIa, KQIb, KQIc, KQId, KQIe and KQIf , the key quality indicators of several sub-services corresponding to each service are marked as KQI1, KQI2, and KQI3. The sub-service weights corresponding to each sub-service are w1, w2, and w3 respectively. The sub-service weights corresponding to different sub-service KQIs have different impacts on service KQIs. The impact is very low, and the instant messaging end-to-end time delay sub-service corresponding to the instant messaging end-to-end time weight has a high impact on the instant messaging service. Therefore, for different sub-services, the corresponding w1, w2, and w3 will be significantly different.

We use the sub-service KQI of the business and its corresponding sub-service weight to estimate the service KQI. The sub-service weight is determined by its importance. Taking the page browsing service as an example, the sub-service KQI1, sub-service KQI2 and sub-service KQI3 They represent the end-to-end delay KQI of web browsing, the end-to-end success rate KQI of web browsing, and the download rate KQI of web browsing. The corresponding sub-service weights are w1, w2, and w3 respectively. The mathematical formula of the web browsing service KQI is as follows: Show:

KQIa=w1×KQI1+w2×KQI2+w3×KQI3

The relationship between several other types of service KQIs and their sub-service KQIs and their corresponding weights can be deduced by analogy, and then the corresponding user experience indicators can be obtained through the obtained service KQIs.

As shown in Figure 5, it is the corresponding relationship diagram of KPI, KQI and QoE in the communication network. We can measure the KPI indicators in the network, or directly measure some quality KQI indicators of each service, and then obtain the quality of each service. KQI indicators. In the network quality detection module, we judge whether the QoE of the network reaches the target according to the KQI.

As shown in FIG. 5 , network signals pass through network components such as Ue (User Equipment, user equipment), NodeB (base station of 3G network), RNC, and MSC (Mobile Switching Center, mobile switching center). The user has steps such as Call Attemp (attempt to call), Call Alert (call prompt), Call Connection (call connection), Call Termination (terminate call), etc., resulting in session data records (SDR, Session Data Record), SDR can indirectly The performance of the user's call experience, we use the SDR to judge the service KQI, and then judge whether the QoE is qualified. The transmission data record (TDR, Transaction Data Record) can be obtained between different parts of the network. From the TDR, we can get the corresponding mapping relationship between KPI and KQI. The KPI parameters of the network determine the business KQI.

When the QoE is lower than a certain value, we think there is a problem with the network. At this time, you need to look for problems in the network. This task is handled by the indicator analysis and decomposition module, the indicator collection module and the network problem location module. We first judge the first-level indicators, that is, the size of the sub-service KQI, and judge whether there is a problem with the quality of this part of the business. If there is a problem with the service quality, we continue to decompose the first-level indicators into corresponding second-level indicators, that is, the KQI is decomposed into corresponding sub-service KPIs. The decomposition process is shown in Table 1 below. We detect the secondary indicators and determine which of the secondary indicators has problems. After finding out the problematic secondary indicators, we detect the corresponding secondary indicators. The specific KPI indicators of the network location, that is, the three-level indicators, such as the indicators of the wireless terminal and the indicators of the core network, and then determine which network component has a problem.

Since there are many KPI indicators in a network, we do not need to detect all KPI indicators, we only need to detect specific KPI indicators related to secondary problem indicators. For example, if there is a problem with the TCP connection time, we can Detect KPI coefficients related to TCP connection duration. When it is judged that there is a problem with a certain KPI coefficient, we list the various possibilities for this coefficient to go wrong, collect a large amount of business problem data, and then determine which specific component has a problem.

Because the fundamental problem of the network is caused by components, and the way we understand the performance of components can only be known through KPIs. If a KPI fails, there may be many component problems. For example, if the packet loss rate is too serious, it may be caused by small network capacity, congestion, or poor network signal quality. Therefore, it is necessary to collect a large amount of data and compare the packet loss rate when the traffic is large and the packet loss rate when the traffic is small to determine whether there is a problem with the network capacity or the signal quality, and then determine the problematic component.

Table 1 Decomposition correspondence between sub-service KQI and sub-service KPI

The system and method for analyzing, locating and controlling network quality problems in the communication network are adopted. When the QoE is lower than a certain value, we decompose the various business KQIs into KPIs to find the location of the problem. The analysis of network quality is no longer a The rigid requirements for KPIs are replaced by a flexible network quality analysis method.

At the same time, since communication networks in different environments have different specific quality requirements for services, the present invention integrates and classifies services in communication networks into six major types and their corresponding sub-services. When analyzing network quality, the communication network Taking into account the different requirements of different types of services and the impact of different requirements of corresponding sub-services, the service KQI is used as the benchmark of network quality analysis, so that the results of network quality analysis are more consistent with user experience.

The purpose of our network quality analysis is to evaluate user experience and detect network performance. User experience can only be evaluated by service quality. Therefore, we analyze network quality through service KQI, so we do not need to analyze the quality of network components at the beginning. There is no need to analyze the KPI of each service in the network, we only need to analyze the service performance. It is difficult to directly detect service performance through service KPIs, because service performance is not only determined by network performance, but also determined by terminal performance and application server performance. Therefore, analyzing network quality through service KQIs is more reliable than analyzing service KPIs.

If the poor quality of the network is only caused by the poor quality of the client or application server, we can judge it through the service KPI after we judge that the QoE is not up to standard. In this way, we will not mistakenly judge that there is a problem with the network element due to the poor quality of the client or the application server, and realize the analysis of the whole network and all services, which can quickly and accurately reflect the real experience perception of the user using the service, which is more effective. Wide range of applications.

In this specification, the invention has been described with reference to specific embodiments thereof. However, it is obvious that various modifications and changes can be made without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are to be regarded as illustrative rather than restrictive.

Claims (6)

1. A system for realizing network quality problem analysis and location control in a communication network, characterized in that, the system includes: The network quality detection module is used to send the problem analysis instruction to the indicator analysis and decomposition module when there is a problem with the network quality; The indicator analysis and decomposition module is used to analyze the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems, and decompose the first-level problem indicators to obtain corresponding second-level indicators, and analyze the above-mentioned The second-level indicators get the second-level problem indicators with problems; The indicator collection module is used to collect all the third-level indicators corresponding to the second-level problem indicators, and send all the third-level indicators to the network problem location module; The network problem location module is used to analyze all the third-level indicators collected by the indicator collection module, and determine the location of the problematic network element according to the analysis results. 2. The system for realizing analysis, location and control of network quality problems in the communication network according to claim 1, wherein the first-level indicators are key quality indicators corresponding to each service in the network, and the second-level indicators are key quality indicators corresponding to each service in the network. The first-level indicator is a key performance indicator corresponding to the first-level problem indicator, and the third-level indicator is a key performance indicator of a network element corresponding to the second-level problem indicator. 3. A method for analyzing and positioning control of network quality problems in a communication network based on the system according to any one of claims 1 to 2, characterized in that, said method comprises the following steps: (1) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module when a problem occurs in the network quality; (2) The index analysis and decomposition module receives the problem analysis instruction, and analyzes the first-level indicators corresponding to the various services of the network to obtain the first-level problem indicators of existing problems; (3) The index analysis and decomposition module decomposes the first-level problem index to obtain the corresponding second-level index, and analyzes the second-level index to obtain the second-level problem index of the problem; (4) The indicator collection module collects all the third-level indicators corresponding to the second-level problem indicators, and sends all the third-level indicators to the network problem location module; (5) The network problem location module analyzes all the three-level indicators, and judges the location of the problem network element according to the analysis result. 4. The method for analyzing and locating control of network quality problems in a communication network according to claim 3, wherein said network quality detection module sends said problem analysis instruction to said The index analysis decomposition module includes the following steps: (1.1) The network quality detection module judges whether there is a problem with the network quality according to the user experience index corresponding to the network; (1.2) If the judgment result is that there is a problem with the network quality, then continue to step (1.3), otherwise continue to step (1.1); (1.3) The network quality detection module sends the problem analysis instruction to the index analysis and decomposition module. 5. the method for realizing network quality problem analysis location control in communication network according to claim 4, is characterized in that, before described step (1), comprises the following steps: (0) The network quality detection module measures the service quality indicators corresponding to the various services of the network, and calculates the user experience indicators according to the service quality indicators. 6. the method for realizing network quality problem analysis location control in the communication network according to claim 3, is characterized in that, between described step (3) and (4), also comprises the following steps: (3.1) The index analysis and decomposition module sends the information of the secondary problem index to the index collection module.