A matching system for interference waveform and positioning method thereof

Abstract

The present invention discloses a matching system for interference waveforms and a positioning method thereof, including an interference waveform matching system, wherein the interference waveform matching system includes a data acquisition module, an IDS automatic module, an interference gene library module, a waveform matching core module, an application analysis module, and a work order flow module. The present invention automatically acquires interference data and automatically analyzes interference data with an integrated IDS module, thereby improving work efficiency and avoiding statistical errors. In addition, by constructing two core modules, an interference gene library and a waveform matching algorithm, typical waveforms of interference sources are set, and interference cells are quickly and accurately matched, thereby solving the problem of slow timeliness of interference positioning.

Description

Technical Field

[0001] The invention relates to the field of wireless network optimization of mobile communications, and in particular to an interference waveform matching system and a positioning method thereof. Background Art

[0002] With the gradual construction of 4G LTE base stations, a situation of coexistence of 2G / 3G / 4G base stations has been formed. The increasing shortage of frequency resources has increased the probability of interference. Therefore, solving the interference problem is one of the key points of wireless network optimization.

[0003] Announcement No. CN105744551B discloses an invention patent for a method for automatic troubleshooting of wireless network interference based on pattern recognition. By improving the efficiency of interference analysis and troubleshooting in daily network optimization, it greatly reduces the workload of manual participation compared to traditional processing methods, improves work efficiency, and improves work quality. Announcement No. CN107563297B discloses an invention patent for a waveform matching method and device. The technical solution provided in this application can improve the accuracy of waveform matching.

[0004] At present, the interference location method is to obtain interference data from OMC every day, use IDS software to delimit, then use on-site frequency sweeping to match the waveform to determine the interference source, and finally update the interference source of the determined interference cell to the interference cell database. The specific steps are as follows:

[0005] 1. Interference data collection: Interference-related data is manually extracted from the OMC every day. The main information includes data time, cell name, frequency band area attributes, longitude and latitude, 0-99 PRB interference intensity, etc.

[0006] 2. Interference cause demarcation: Use the IDS interference analysis tool daily to analyze the interference cause demarcation, and save the interference analysis results, the full table of interference cell information and 100RB verification information and other data for positioning.

[0007] 3. Interference cause location: In that month, the interference source was located by using frequency scanning. The interference waveform of the on-site frequency scanning was manually compared with the interference waveform output by the background IDS software to locate the cause of the interference and determine the interference source.

[0008] The existing interference positioning has the following shortcomings:

[0009] First, on-site frequency scanning and positioning is difficult. The on-site frequency scanning environment is complex. It takes a long time to locate the interference source in some interference cells, which requires a lot of time and manpower.

[0010] Second, manual operations are prone to errors under large amounts of data. Every day, it is necessary to output high-interference cells from more than 200,000 LTE cells in the province that are analyzed on a daily granularity basis. The amount of data and information contained is huge, which consumes a lot of manpower and time. At the same time, with a large amount of data and information, manual statistics will inevitably result in missing data and misjudgment, resulting in inaccurate analysis of the causes of interference in the interfering cells.

[0011] Third, interference positioning lacks real-time performance. On-site frequency scanning progresses slowly, while interference conditions are time-dependent and will change over time, leading to inaccurate analysis results. Summary of the invention

[0012] The object of the present invention is to provide an interference waveform matching system and a positioning method thereof to solve the problems raised in the above background technology.

[0013] To achieve the above object, the present invention provides the following technical solutions:

[0014] The invention discloses an interference waveform matching system, comprising an interference waveform matching system, wherein the interference waveform matching system comprises a data acquisition module, an IDS automatic module, an interference gene library module, a waveform matching core module, an application analysis module and a work order circulation module. The data acquisition module parses northbound data and collects 100PRB data at an hourly granularity. The IDS automatic module analyzes interference data, screens out interference cells, and preliminarily determines the cause of interference. The interference gene library module collects and organizes information on interference cells and solidifies experience to build a gene library. The waveform matching core module performs waveform matching between interference cells and interference gene libraries and automatically outputs matching results according to set rules to replace manual comparison. The application analysis module presents the overall interference situation, analyzes interference cells and formulates a removal plan. The work order circulation module realizes the distribution, circulation and closed loop of work orders.

[0015] As a further solution of the present invention: the data acquisition module includes OMC, data acquisition and data synchronization storage.

[0016] As a further solution of the present invention: the data collection is completed by a data collection module, and the data collection module is connected to the OMC northbound interface to realize real-time collection and analysis of 100PRB data with an original granularity of 15 minutes, and then aggregate the 15-minute data into 1 hour of data.

[0017] As a further solution of the present invention: the IDS automatic module includes InPutFolder, IDS core module, OutPutFolder and result storage.

[0018] As a further solution of the present invention: the IDS automatic module stores the 100RB data of each city into a CSV file, and then uploads the data file to the input folder corresponding to each city on the IDS server via FTP.

[0019] As a further solution of the present invention: IDS analysis parameters for each city are set on the application interface, and the IDS automatic module generates a configuration file based on these parameters, and then the configuration file is uploaded to the input folder corresponding to each city on the IDS server via FTP.

[0020] As a further solution of the present invention: the IDS automatic module remotely starts the IDS core module on the IDS server to perform interference analysis. After the analysis is completed, the IDS core module outputs the preliminary analysis results to the specified location of the IDS server, and the IDS automatic module downloads the analysis results to the local server via FTP for storage.

[0021] As a further solution of the present invention: the interference gene library module checks the interference data rules through early interference and records the characteristics of typical interference sources, including: PRB0-PRB99 frequency domain interference waveform characteristics and 0-23 hours time domain characteristics, geographical location, and impact range.

[0022] As a further solution of the present invention: the waveform matching core module includes waveform matching, Euclidean distance calculation, comprehensive judgment and result storage, the application analysis module includes application result presentation, interference cell query analysis and elimination plan formulation, and the work order flow module includes work order distribution, city feedback, on-site processing, provincial company quality inspection and archiving.

[0023] A method for locating an interference waveform comprises the following steps:

[0024] S1: The data acquisition module parses the PRB data in real time and synchronously through the OMC northbound interface, and then the IDS automatic module calls the IDS to perform preliminary interference cell analysis and screening;

[0025] S2: Construct interference gene library and set up typical interference waveform;

[0026] Through the waveform matching core module, the waveform characteristics of the interfering cell are automatically compared with the interfering gene library to quickly locate the problem.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. Improve work efficiency and avoid statistical errors by automatically acquiring interference data and integrating IDS module to automatically analyze interference data.

[0029] 2. By constructing two core modules, the interference gene library and the waveform matching algorithm, typical waveforms of interference sources are set to quickly and accurately match interference cells, thus solving the problem of slow timeliness in interference positioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The figure is a system structure diagram of the interference waveform matching system and the positioning method thereof.

[0031] Figure 2 The present invention is a flow chart of waveform judgment processing in an interference waveform matching system and a positioning method thereof. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1

[0034] See also Figure 1 A matching system for interference waveforms includes an interference waveform matching system. The interference waveform matching system includes a data acquisition module, an IDS automatic module, an interference gene library module, a waveform matching core module, an application analysis module, and a work order flow module. The data acquisition module parses northbound data and collects 100PRB data at an hourly granularity. The IDS automatic module analyzes the interference data, screens out interference cells, and preliminarily determines the cause of interference. The interference gene library module collects and organizes information on interference cells and solidifies experience to build a gene library. The waveform matching core module performs waveform matching on the interference cells and the interference gene library, and automatically outputs matching results according to set rules instead of manual comparison. The application analysis module presents the overall interference situation, analyzes interference cells, and formulates removal plans. The work order flow module realizes the distribution, circulation, and closed loop of work orders.

[0035] It should be noted that the data acquisition module includes OMC, data acquisition and data synchronization into the warehouse. The data acquisition is completed by the data acquisition module. The data acquisition module is connected to the OMC northbound interface to realize real-time acquisition and analysis of 100PRB data with an original granularity of 15 minutes, and then aggregate the 15-minute data into 1 hour of data.

[0036] The IDS automatic module includes InPutFolder, IDS core module, OutPutFolder and result storage. The IDS automatic module stores 100RB data of each city into a CSV file, and then uploads the data file to the input folder corresponding to each city on the IDS server through FTP. The IDS analysis parameters of each city are set on the application interface. The IDS automatic module generates a configuration file based on these parameters, and then uploads the configuration file to the input folder corresponding to each city on the IDS server through FTP. The IDS automatic module remotely starts the IDS core module on the IDS server to perform interference analysis. After the analysis is completed, the IDS core module outputs the preliminary analysis results to the specified location of the IDS server, and the IDS automatic module downloads the analysis results to the local server through FTP for storage.

[0037] The interference gene library module checks the interference data rules through early interference and records the characteristics of typical interference sources, including: PRB0-PRB99 frequency domain interference waveform characteristics and 0-23 hours time domain characteristics, geographical location, and impact range.

[0038] Embodiment 2

[0039] See also Figure 1 A matching system for interference waveforms includes an interference waveform matching system. The interference waveform matching system includes a data acquisition module, an IDS automatic module, an interference gene library module, a waveform matching core module, an application analysis module, and a work order flow module. The data acquisition module parses northbound data and collects 100PRB data at an hourly granularity. The IDS automatic module analyzes the interference data, screens out interference cells, and preliminarily determines the cause of interference. The interference gene library module collects and organizes information on interference cells and solidifies experience to build a gene library. The waveform matching core module performs waveform matching on the interference cells and the interference gene library, and automatically outputs matching results according to set rules instead of manual comparison. The application analysis module presents the overall interference situation, analyzes interference cells, and formulates removal plans. The work order flow module realizes the distribution, circulation, and closed loop of work orders.

[0040] It should be noted that the data acquisition module includes OMC, data acquisition and data synchronization into the warehouse. The data acquisition is completed by the data acquisition module. The data acquisition module is connected to the OMC northbound interface to realize real-time acquisition and analysis of 100PRB data with an original granularity of 15 minutes, and then aggregate the 15-minute data into 1 hour of data.

[0041] The IDS automatic module includes InPutFolder, IDS core module, OutPutFolder and result storage. The IDS automatic module stores 100RB data of each city into a CSV file, and then uploads the data file to the input folder corresponding to each city on the IDS server through FTP. The IDS analysis parameters of each city are set on the application interface. The IDS automatic module generates a configuration file based on these parameters, and then uploads the configuration file to the input folder corresponding to each city on the IDS server through FTP. The IDS automatic module remotely starts the IDS core module on the IDS server to perform interference analysis. After the analysis is completed, the IDS core module outputs the preliminary analysis results to the specified location of the IDS server, and the IDS automatic module downloads the analysis results to the local server through FTP for storage.

[0042] The interference gene library module checks the interference data rules through early interference and records the characteristics of typical interference sources, including: PRB0-PRB99 frequency domain interference waveform characteristics and 0-23 hours time domain characteristics, geographical location, and impact range.

[0043] The waveform matching core module includes waveform matching, Euclidean distance calculation, comprehensive judgment and result storage, the application analysis module includes application result presentation, interference cell query analysis and elimination plan formulation, and the work order flow module includes work order distribution, city feedback, on-site processing, provincial company quality inspection and archiving.

[0044] The difference between Example 2 and Example 1 is that the waveform matching core module includes waveform matching, Euclidean distance calculation, comprehensive judgment and result storage, the application analysis module includes application result presentation, interference cell query analysis and elimination plan formulation, and the work order flow module includes work order distribution, city feedback, on-site processing, provincial company quality inspection and archiving.

[0045] It should be noted that the waveform matching core module sets the waveform judgment processing flow, please refer to Figure 2 , and mathematical modeling:

[0046] After being graphically displayed, the interference waveform is a continuous curve based on a two-dimensional coordinate axis. However, since the waveform is essentially a point-shaped continuous broken line composed of 100 PRBs, its essence can be determined as a two-dimensional mathematical model based on the XY coordinate axis. The mathematical model expression is:

[0047] Waveform coordinate mathematical model Sj(sj,j), j∈(1,100);

[0048] Waveform point mathematical model WT(s1,s2,s3…sn…s100), Sn∈(set∈Sj);

[0049] The mathematical model of the geographic coordinates of the waveform is GT(X,Y), X, Y∈ (actual geographic longitude and latitude);

[0050] Interference waveform mathematical model PT (WT, GT);

[0051] Gene bank waveform data model Mx(WT,GT,Qsolution); x∈(gene bank), Qsolution∈(solution bank);

[0052] It can be concluded from the above coordinate model that after the waveform is converted into a mathematical model, its essence is a two-dimensional array with a length of 100. This provides convenience for subsequent waveform comparison calculations. The comparison between waveforms can be directly evolved from graphic judgment by the naked eye to comparison by machines using array judgment strategies.

[0053] Core waveform matching algorithm:

[0054] The 100prb frequency domain and 0-23 hour time domain characteristic waveforms of the interfering cell screened out by IDS are matched with the waveforms of the interfering gene library to obtain the similarity coefficient.

[0055] Specific method: The 100PRB value distribution and 24-hour overall trend of the interference cell and the interference gene library were set as variables X and Y respectively, and the two variable data were input into the Pearson formula to obtain the similarity coefficient.

[0056] Pearson's formula:

[0057]

[0058] After simplification, we get:

[0059]

[0060]

[0061] Where cov represents covariance, and the specific formula is:

[0062] Cov(X,Y)=E[(X-μ x )(Y-μ y )]

[0063] Assuming there are two variables X and Y, the product of "the difference between the X value and its mean" and "the difference between the Y value and its mean" at each moment is summed up and the mean is the covariance. Using the explanation of linear mathematics (geometry) learned in college, it can be regarded as the cosine of the angle between the vectors of the two sets of data.

[0064] Covariance is an indicator that reflects the degree of correlation between two random variables. If one variable increases or decreases at the same time as another variable, then the covariance of the two variables is positive. On the contrary, although the covariance can reflect the degree of correlation between two random variables, the size of the covariance value and the error in measuring the degree of association between the two random variables are large.

[0065] δx and δY are standard deviations. In order to better measure the correlation between two random variables, the covariance is divided by the standard deviation of the two random variables. It is easy to conclude that Pearson is a value between -1 and 1. When the linear relationship between the two variables increases, the correlation coefficient tends to 1 or -1; when one variable increases, the other variable also increases, indicating that they are positively correlated.

[0066] It should be noted that the interference cell: displays the city to which the cell belongs, the frequency band, the IDS judgment reason and the matching interference source information, and the clearing plan can be edited.

[0067] Waveform display: Displays the interfering cell PRB waveform and the interfering gene library characteristic waveform, and can check the waveform matching situation.

[0068] GIS map display: Displays interference sources and affected cells. Cells marked in red are affected by interference sources.

[0069] Interference calendar: The daily interference situation is intuitively displayed on the calendar, with a background color marking the cells with interference on that day, and text markings matching the results with the interference gene library.

[0070] Embodiment 3

[0071] A method for locating an interference waveform comprises the following steps:

[0072] S1: The data acquisition module parses the PRB data in real time and synchronously through the OMC northbound interface, and then the IDS automatic module calls the IDS to perform preliminary interference cell analysis and screening;

[0073] S2: Construct interference gene library and set up typical interference waveform;

[0074] Through the waveform matching core module, the waveform characteristics of the interfering cell are automatically compared with the interfering gene library to quickly locate the problem.

[0075] It should be noted that the present invention combines the OMC and IDS platforms to automatically and synchronously parse the PRB data of the TD-LTE network online, automatically acquires interference data and automatically analyzes the interference data with the integrated IDS module, constructs two core modules, an interference gene library and a waveform matching algorithm, sets a typical waveform of the interference source, and quickly and accurately matches the interference cell, replacing the existing on-site frequency scanning and troubleshooting work, saving manpower and material resources, and based on the Pearson algorithm, automatically compares the characteristic waveform of the interference cell with the characteristic waveform of the interference gene library to obtain similarity, and quickly and accurately locates the problem according to the set threshold, greatly reducing the manual comparison time.

[0076] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

[0077] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. An interference waveform matching system, comprising an interference waveform matching system, characterized in that: The interference waveform matching system includes data acquisition module, IDS automatic module, interference gene library module, waveform matching core module, application analysis module and work order flow module; The data collection module analyzes northbound data and collects 100PRB data at an hourly granularity. The IDS automatic module analyzes interference data, screens out interfering cells, and preliminarily determines the cause of interference; Interference gene library module, collects and organizes information on interference cells, solidifies experience and builds a gene library; The waveform matching core module performs waveform matching between the interfering cell and the interfering gene library, and automatically outputs the matching results according to the set rules, replacing manual comparison; Application analysis module, presenting the overall interference situation, analyzing interference cells and formulating elimination plans; The work order circulation module realizes the dispatch, circulation and closed loop of work orders; The waveform matching core module sets up the waveform judgment processing flow and performs mathematical modeling: The interference waveform is displayed as a continuous curve based on a two-dimensional coordinate axis after being graphically visualized. However, since the waveform is essentially a point-shaped continuous broken line composed of 100 PRBs, its essence can be determined as a two-dimensional mathematical model based on the XY coordinate axis. The mathematical model expression is: Waveform coordinate mathematical model Sj(sj,j), j∈(1,100); Waveform point mathematical model WT (s1, s2, s3…sn…s100), Sn∈ (waveform coordinate mathematical model Sj); The mathematical model of the geographic coordinates of the waveform is GT(X,Y), X, Y∈ (actual geographic longitude and latitude); Interference waveform mathematical model PT (WT, GT); Gene library waveform data model Mx(WT,GT,Qsolution); x∈(gene library), Qsolution∈(solution library); From the above mathematical model, it can be concluded that after the waveform is converted into a mathematical model, its essence is a two-dimensional array with a length of 100; Core waveform matching algorithm: The 100prb frequency domain and 0-23 hour time domain characteristic waveforms of the interfering cells screened out by IDS were matched with the waveforms of the interfering gene library to obtain the similarity coefficient; Specific method: The 100PRB value distribution and 24-hour overall trend of the interference cell and the interference gene pool are set as variables X and Y respectively, and the two variable data are input into the Pearson formula to obtain the similarity coefficient; Pearson's formula: in; σ X and σ Y is the standard deviation; After simplification, we get: Where cov represents covariance, and the specific formula is: cov(X,Y)=E[(X-μ x )(Y-μ y )].

2. The interference waveform matching system according to claim 1, characterized in that: The data acquisition module includes OMC, data acquisition and data synchronization storage.

3. The interference waveform matching system according to claim 2, characterized in that: The data acquisition module connects to the OMC northbound interface to collect and analyze 100PRB data with an original granularity of 15 minutes in real time, and then aggregates the 15-minute data into 1-hour data.

4. The interference waveform matching system according to claim 1, characterized in that: The IDS automatic module includes InPutFolder, IDS core module, OutPutFolder and result storage.

5. The interference waveform matching system according to claim 4, characterized in that: The IDS automatic module stores the 100RB data of each prefecture-level city into a CSV file, and then uploads the data file to the input folder corresponding to each prefecture-level city on the IDS server via FTP.

6. The interference waveform matching system according to claim 5, characterized in that: Set the IDS analysis parameters for each city on the application interface. The IDS automatic module will generate configuration files based on these parameters, and then upload the configuration files to the input folders corresponding to each city on the IDS server via FTP.

7. The interference waveform matching system according to claim 6, characterized in that: The IDS automatic module remotely starts the IDS core module on the IDS server to perform interference analysis. After the analysis is completed, the IDS core module outputs the preliminary analysis results to the specified location of the IDS server, and the IDS automatic module downloads the analysis results to the local server via FTP for storage.

8. A method for locating an interference waveform of an interference waveform matching system according to any one of claims 1 to 7, characterized in that: The following steps are involved: S1: The data acquisition module parses the PRB data in real time and synchronously through the OMC northbound interface, and then the IDS automatic module calls the IDS to perform preliminary interference cell analysis and screening; S2: Construct interference gene library and set up typical interference waveform; S3: Through the waveform matching core module, the waveform characteristics of the interference cell are automatically compared with the interference gene library to quickly locate the problem; The interference gene library module checks the interference data rules through the previous interference and records the characteristics of typical interference sources, including: PRB0-PRB99 frequency domain interference waveform characteristics and 0-23 hours time domain characteristics, geographical location, and impact range; The waveform matching core module includes waveform matching, Euclidean distance calculation, comprehensive judgment and result storage, the application analysis module includes application result presentation, interference cell query analysis and elimination plan formulation, and the work order flow module includes work order distribution, city feedback, on-site processing, provincial company quality inspection and archiving; The waveform matching core module sets up the waveform judgment processing flow and performs mathematical modeling: The interference waveform is displayed as a continuous curve based on a two-dimensional coordinate axis after being graphically visualized. However, since the waveform is essentially a point-shaped continuous broken line composed of 100 PRBs, its essence can be determined as a two-dimensional mathematical model based on the XY coordinate axis. The mathematical model expression is: Waveform coordinate mathematical model Sj(sj,j), j∈(1,100); Waveform point mathematical model WT (s1, s2, s3…sn…s100), Sn∈ (waveform coordinate mathematical model Sj); The mathematical model of the geographic coordinates of the waveform is GT(X,Y), X, Y∈ (actual geographic longitude and latitude); Interference waveform mathematical model PT (WT, GT); Gene library waveform data model Mx(WT,GT,Qsolution); x∈(gene library), Qsolution∈(solution library); From the above mathematical model, it can be concluded that after the waveform is converted into a mathematical model, its essence is a two-dimensional array with a length of 100; Core waveform matching algorithm: The 100prb frequency domain and 0-23 hour time domain characteristic waveforms of the interfering cells screened out by IDS were matched with the waveforms of the interfering gene library to obtain the similarity coefficient; Specific method: The 100PRB value distribution and 24-hour overall trend of the interference cell and the interference gene pool are set as variables X and Y respectively, and the two variable data are input into the Pearson formula to obtain the similarity coefficient; Pearson's formula: After simplification, we get: Where cov represents covariance, and the specific formula is: Cov(X,Y)=E](X-μ x )(Y-μ y )], σX and σY are standard deviations.

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