CN111294920B - Method, device, equipment and medium for identifying interference in LTE network - Google Patents
Method, device, equipment and medium for identifying interference in LTE network Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, equipment and a medium for identifying interference in an LTE network. The method comprises the following steps: acquiring voice system data of each cell in a network, and screening out interference cells with noise intensity greater than a preset threshold value in the voice system data; selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance; calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells; acquiring MR data of all user equipment in an interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point; the interference coefficient of each interference point is calculated through the MR data of the interference point, the coordinate of the interference source is calculated according to the interference coefficient of each interference point and the coordinate of each interference point, and the position of the interference source is calculated through collecting session data and MR data, so that the intellectualization of interference elimination is realized.
Description
Technical Field
The present invention relates to the field of wireless technologies, and in particular, to a method, an apparatus, a device, and a medium for identifying interference in an LTE network.
Background
For mobile communication networks, the precondition for ensuring the service quality is to use a clean frequency spectrum, i.e. the frequency band is not used or interfered by other systems. Otherwise, the performance of the interfered system and the experience of the end user are greatly influenced. With the gradual construction of the 4G LTE base station, a situation of coexistence of 2/3/4G base stations has been formed, and the probability of inter-system interference is also greatly improved, and in the base stations constructed at present, a large number of TD-LTE (4G network) base stations are found to be interfered. The interference mainly comprises the blocking, intermodulation and spurious interference of the 2G cell and the 3G cell to the TD-LTE cell, and other radio equipment, such as external co-channel interference of a mobile phone signal shielding device agent and the like. At present, interference investigation is mostly carried out by manual positioning analysis through interference frequency spectrum, and the investigation steps are as follows: 1) extracting interference bottom noises of 100 RBs according to cell division time periods in a network manager; 2) and screening out interference exceeding a threshold value according to the cell (such as: interference noise floor intensity is more than or equal to-110); 3) taking the average value of each RB for the time interval of the second screening step and corresponding to the corresponding cell; 4) making an interference round-robin diagram for the screened cells with interference according to RB; 5) identifying the interference type through waveform characteristics; 6) carrying the test instrument, searching the preliminarily determined interference source region, gradually reducing the region of the interference source and finally positioning. However, the existing interference checking method has the following disadvantages: 1) the method is time and labor consuming, and a familiar engineer analyzes about 100 interfering cells each day; 2) the data is rough, and the data complexity of analyzing for several days is high; 3) the method is not suitable for analyzing the interference in the system, such as the ultra-far interference, the clock lock losing interference and the like, and the interference in the system cannot be identified by the method; 4) the positioning accuracy of the interference source is poor, and the interference type can be judged only preliminarily; 5) the frequency sweep test of field workers is needed, the interference type is determined through an elimination method, a plurality of matched workers are needed, and the efficiency is low.
In summary, it is therefore desirable to provide a method, an apparatus, a device and a medium for efficiently locating an interference source location in an LTE network.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for identifying interference in an LTE network, wherein the position of an interference source is calculated by acquiring speech system data and MR data, a computer is used for carrying out cluster analysis, and the geographical position of an external interference source is remotely positioned, so that the problems of low efficiency and low accuracy of the conventional manual interference investigation are solved, the intellectualization of interference investigation is realized, the accurate positioning is realized for the external interference source such as an interference device, a pseudo base station and the like, and the working efficiency of the external interference investigation is improved.
In a first aspect, an embodiment of the present invention provides a method for identifying interference in an LTE network, where the method includes: acquiring voice system data of each cell in a network, and screening out interference cells with noise intensity greater than a preset threshold value in the voice system data; selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance; calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells; acquiring MR data of all user equipment in an interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point; and calculating the interference coefficient of each interference point according to the MR data of the interference points, and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In a second aspect, an embodiment of the present invention provides an apparatus for identifying interference in an LTE network, where the apparatus includes: the first acquisition unit is used for acquiring voice system data of each cell in the network and screening out interference cells with noise intensity larger than a preset threshold value in the voice system data; the first processing unit is used for selecting at least three selected interference cells from the interference cells, and the distance between any two selected interference cells is less than or equal to a preset distance; the first calculation unit is used for calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells; the second processing unit is used for acquiring MR data of all user equipment in the interference area and defining the user equipment of which the MR data meets the preset conditions as interference point positions; and the second calculation unit is used for calculating the interference coefficient of each interference point according to the MR data of the interference points and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In a third aspect, an embodiment of the present invention provides an apparatus for identifying interference in an LTE network, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.
According to the method, the device, the equipment and the medium for identifying the interference in the LTE network, provided by the embodiment of the invention, by acquiring the telephone traffic data of each cell in the network, namely acquiring the telephone traffic data of all cells in a preset area, the interference condition of the cells in the whole network and the preliminary judgment (such as regional interference, local interference, cell-level interference and the like) on the interference can be preliminarily obtained, the interference cells with the noise intensity larger than a preset threshold value in the telephone traffic data are screened out, the interference condition of each cell is acquired by taking the cell as a quantity level, the cells with the noise intensity larger than the preset threshold value in each cell are screened out and defined as the interference cells; selecting three selected interference cells from a plurality of interference cells, wherein the selection standard is that the distance between any two selected interference cells is smaller than or equal to a preset distance, namely, the distances between a plurality of selected interference cells selected at the same time are ensured to be close enough, at the moment, the selected interference cells are considered to be influenced by the same interference source, and the selected interference cells can be determined as high cell interference caused by an external interference source; after the selected interference cell is determined, an interference area covering all the selected interference cells can be calculated through the coordinates of the selected interference cell, and the interference area can completely cover all the selected interference cells; then acquiring MR (measurement report) data of all user equipment in the interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point position, wherein the position of an interference source can be analyzed for the interfered user when the interfered user is regarded as a point in interference signal radiation in the interference area; then, calculating the interference coefficient of each interference point through the MR data of the interference points, wherein the interference coefficient reflects the interfered strength of each interference point, and when the interference points are close to an interference source, the interfered degree is large, and the correspondingly obtained interference coefficient is also large; and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point. The method calculates the position of the interference source by acquiring the telephone system data and the MR data, uses the computer to perform cluster analysis, and remotely positions the geographical position of the external interference source, thereby solving the problems of low efficiency and low accuracy of the conventional manual interference investigation, realizing the intellectualization of the interference investigation, realizing the accurate positioning of the external interference source such as an interference unit, a pseudo base station and the like, and improving the working efficiency of the external interference investigation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 2 is another flow chart of a method for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 3 is another flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 4 is a block diagram of an apparatus for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 5 is a diagram illustrating another frame of an apparatus for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 6 is a diagram illustrating another frame of an apparatus for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a process for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 8 is a diagram illustrating a further exemplary process for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 9 is another flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention;
fig. 10 is a flowchart illustrating an apparatus for identifying interference in an LTE network according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the problem of the prior art, embodiments of the present invention provide a method for identifying interference in an LTE network, an apparatus for identifying interference in an LTE network, a device for identifying interference in an LTE network, and a computer storage medium. First, a method for identifying interference in an LTE network according to an embodiment of the present invention is described below.
Fig. 1 is a flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 1, a method for identifying interference in an LTE network provided in this embodiment includes:
s102, acquiring telephone traffic data of each cell in the network, and screening out interference cells with noise intensity greater than a preset threshold value in the telephone traffic data;
s104, selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance;
s106, calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells;
s108, acquiring MR data of all user equipment in the interference area, and defining the user equipment of which the MR data meets preset conditions as interference point positions;
and S110, calculating the interference coefficient of each interference point according to the MR data of the interference points, and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
The method for identifying the interference in the LTE network comprises the steps of firstly obtaining voice system data of each cell in the network, namely obtaining the voice system data of all the cells in a preset area, preliminarily obtaining the interference situation of the cells in the whole network and preliminarily judging the interference (such as regional interference, local interference, cell-level interference and the like), screening interference cells of which the noise intensity is greater than a preset threshold value in the voice system data, obtaining the interference situation of each cell by taking the cell as a quantity level, screening the cells of which the noise intensity is greater than the preset threshold value in each cell, and defining the cells as the interference cells; selecting three selected interference cells from a plurality of interference cells, wherein the selection standard is that the distance between any two selected interference cells is smaller than or equal to a preset distance, namely, the distances between a plurality of selected interference cells selected at the same time are ensured to be close enough, at the moment, the selected interference cells are considered to be influenced by the same interference source, and the selected interference cells can be determined as high cell interference caused by an external interference source; after the selected interference cell is determined, an interference area covering all the selected interference cells can be calculated through the coordinates of the selected interference cell, and the interference area can completely cover all the selected interference cells; then acquiring MR (measurement report) data of all user equipment in the interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point position, wherein the position of an interference source can be analyzed for the interfered user when the interfered user is regarded as a point in interference signal radiation in the interference area; then, calculating the interference coefficient of each interference point through the MR data of the interference points, wherein the interference coefficient reflects the interfered strength of each interference point, and when the interference points are close to an interference source, the interfered degree is large, and the correspondingly obtained interference coefficient is also large; and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point. The method calculates the position of the interference source by acquiring the telephone system data and the MR data, uses the computer to perform cluster analysis, and remotely positions the geographical position of the external interference source, thereby solving the problems of low efficiency and low accuracy of the conventional manual interference investigation, realizing the intellectualization of the interference investigation, realizing the accurate positioning of the external interference source such as an interference unit, a pseudo base station and the like, and improving the working efficiency of the external interference investigation.
In an embodiment of the present invention, preferably, the step of calculating an interference area covering all the selected interfering cells by using the coordinates of the selected interfering cells includes: obtaining longitude and latitude coordinates (X) of selected interference cell1...n，Y1...n) Wherein n is the number of the selected interference cells; calculating the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude of the interference area, wherein the calculation formula is as follows: maximum longitude is max (X)1，...，Xn) Minimum longitude is min (X)1，...，Xn) Maximum latitude ═ max (Y)1，...，Yn) Min (Y) is the minimum latitude1，...，Yn) (ii) a Combining the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude into four coordinate points in pairs, wherein a region formed by enclosing the four coordinate points is an interference region.
In this embodiment, a specific scheme for calculating the interference area is provided, for example, if the interference area cannot be determined, invalid data affects the calculation result. By adopting the statistical principle, after the selected interference cells are determined, the longitude and latitude coordinates (X) of all the selected interference cells are obtained1...n，Y1...n) I.e. obtaining longitude and latitude coordinates (X) of each selected interfering cell1，Y1)…(Xn，Yn) Wherein n is the number of the selected interference cells; then, the maximum longitude and the minimum longitude of the interference area are calculated according to the longitude and latitude coordinates of all the selected interference cellsMaximum latitude and minimum latitude, wherein the formula is: maximum longitude is max (X)1，...，Xn) Minimum longitude is min (X)1，...，Xn) Maximum latitude ═ max (Y)1，...，Yn) Min (Y) is the minimum latitude1，...，Yn) Selecting a maximum longitude coordinate and a minimum longitude coordinate from longitude coordinates of all selected interference cells, selecting a maximum latitude coordinate and a minimum latitude coordinate from latitude coordinates of all selected interference cells, combining the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude into four coordinate points in pairs, namely, coordinates of the four points are respectively (maximum longitude, maximum latitude), (maximum longitude, minimum latitude), (minimum longitude, maximum latitude) and (minimum longitude, minimum latitude), defining an area formed by enclosing the four coordinate points as an interference area, and determining an interference boundary through the limit longitude and latitude so as to enable the calculation process to be simple and efficient.
Fig. 2 is a flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 2, a method for identifying interference in an LTE network provided in this embodiment includes:
s202, acquiring telephone traffic data of each cell in the network, and screening out interference cells with noise intensity greater than a preset threshold value in the telephone traffic data;
s204, selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance;
s206, calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells;
s208, acquiring MR data of all user equipment in the interference area;
s210, screening out selected user equipment of which the interference intensity is greater than a preset intensity value in the MR data;
s212, determining an interference point position as selected user equipment of which MR data covers at least two selected interference cells;
s214, calculating the interference coefficient of each interference point according to the MR data of the interference points, and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In this embodiment, after obtaining MR data of all user equipments in an interference area, first, a selected user equipment whose interference strength in the MR data is greater than a preset strength value is screened out, and an interference point is continuously selected in the selected user equipment, where the interference point is determined in a manner that the MR data of the selected user equipment covers at least two selected interference cells, and if the interference of the user equipment is not from external interference, the MR data of the selected user equipment is not easily covered to the at least two selected interference cells, so that the selected user equipment whose MR data covers the at least two selected interference cells is selected from the selected user equipment; meanwhile, when the coordinates of the interference point positions are subsequently determined, the selected interference point positions can be ensured to perform data interaction with at least two selected interference cells, and the coordinates of the interference points can be conveniently calculated.
Fig. 3 is a flowchart illustrating a method for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 3, a method for identifying interference in an LTE network provided in this embodiment includes:
s302, acquiring telephone traffic data of each cell in the network, and screening out interference cells with noise intensity greater than a preset threshold value in the telephone traffic data;
s304, selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance;
s306, calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells;
s308, acquiring MR data of all user equipment in the interference area, and defining the user equipment of which the MR data meets the preset conditions as interference point positions;
s310, calculating the interference coefficient of each interference point according to the MR data of the interference point;
s312, acquiring a communication included angle and path loss when one interference point location is transmitted with at least two selected interference cells respectively, and calculating longitude and latitude coordinates of the interference point location;
and S314, calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In this embodiment, a scheme for calculating coordinates of the interference point location is provided, and specifically, coordinates of the interference point location are restored by using a triangulation method. The method comprises the steps of obtaining a communication included angle and path loss when an interference point location is transmitted with at least two selected interference cells respectively, extracting power configuration values of the selected interference cells, calculating road loss of adjacent cells by combining RSRP (reference signal received power) values of the adjacent cells, and calculating longitude and latitude coordinates of the interference point location.
In an embodiment of the present invention, preferably, the step of obtaining a communication angle and a path loss when one interference point location respectively transmits with at least two selected interference cells, and calculating longitude and latitude coordinates of the interference point location includes: acquiring path loss of an interference point location when the interference point location transmits with at least two selected interference cells respectively, and determining first distances between the interference point location and the at least two selected interference cells respectively; acquiring communication included angles when one interference point position transmits with at least two selected interference cells respectively; and calculating longitude and latitude coordinates of the interference point location through at least two first distances and two communication included angles.
In this embodiment, a specific scheme for calculating the coordinates of the interference point location is provided. Obtaining path loss of an interference point when the interference point is respectively transmitted with at least two selected interference cells, namely two path loss values of the same interference point and the two selected interference cells, then respectively determining a first distance between the interference point and the at least two selected interference cells according to the two path loss values, namely the interference point is located in a region with the selected interference cells as a circle center and the first distance as a radius, and drawing at least two circular regions when the number of the selected interference cells is at least two; then, communication included angles when the interference point location is transmitted with at least two selected interference cells are obtained, and after the communication included angles are determined, a straight line where the interference point location is located can be determined; through at least two first distances and two communication included angles, the longitude and latitude coordinates of the interference point position can be calculated.
Specifically, as shown in fig. 7, two or more cells are used to detect the target position at different positions, then the distance from the interference point to the cell is calculated through the path loss, and the longitude and latitude of the interference point are calculated by combining the measured included angles.
In an embodiment of the present invention, preferably, the step of calculating the interference coefficient of each interference point according to the MR data of the interference point includes: obtaining the interference intensity in the MR data of each interference point, and calculating the interference coefficient of the interference point by adopting a formula:
where σ i represents the interference coefficient of the ith interference point, and Bi represents the interference strength of the ith interference point.
In this embodiment, when the interference coefficient of each interference point is calculated from the MR data of the interference point, specifically, the interference strength Bi in the MR data of each interference point is first obtained, and a formula is used to calculate σ i, specifically:
according to the formula, according to the signal attenuation characteristic, every 3DB interference coefficient is multiplied by 2 when the signal intensity is reduced by 3DB, the corresponding power attenuation is 1/2, when the interference coefficient is calculated, according to the attenuation characteristic, the interference coefficient of every 3DB is multiplied by 2, then the interference intensity of the point position is acquired through MR, the interference coefficient is calculated, the interference discrete point is quantized, the interference coefficient of each interference point position reflects the interference intensity of each point, when the interference intensity is large, the corresponding interference coefficient is also large, and the point is close to the position of an interference source.
In an embodiment of the present invention, preferably, the step of calculating coordinates of the interference source according to the interference coefficient of each interference point location and the coordinates of each interference point location includes: obtaining longitude and latitude coordinates (X) of interference point location1...m，Y1...m) Wherein m is the number of interference point positions; the coordinate of the interference source is calculated by adopting a formula: (interference source longitude, interference source latitude) ((1/∑ σ m) × Σ (σ m × (X)m，Ym) σ m) represents the interference coefficient of the mth interference point.
In this embodiment, a specific scheme for calculating the coordinates of the interference source is provided. Firstly, acquiring longitude and latitude coordinates (X) of interference point location1...m，Y1...m) That is, the longitude and latitude coordinates (X) of all the interference points are respectively obtained1，Y1)…(Xm，Ym) Wherein m is the number of interference point locations, and then the weighted interference source coordinate is calculated according to the interference coefficient and the longitude and latitude coordinate of each point, (the weighted interference source longitude, the weighted interference source latitude) is sigma 1X (X)1，Y1)+σ2×(X2，Y2)+σ3×(X3，Y3)+σ4×(X4，Y4)+…σm×(Xm，Ym) I.e. (weighted interferer longitude, weighted interferer latitude) ∑ (σ mx (X)m，Ym)). By carrying out weighted calculation on the coordinates of each interference point position, the coordinates of the interference source can be determined more accurately according to the interference coefficient. And finally, removing the weight value of the weighted interference source coordinate to obtain the longitude and latitude of the interference source: is (interference source longitude, interference source latitude) ((1/∑ σ m) × Σ (σ m × (X)m，Ym) To ensure the position of the interference source obtained by the final calculation to be accurate and reliable, and the result of the interference source obtained finally is shown in fig. 8.
In one embodiment of the present invention, the preset distance is preferably selected to be 5 km.
In this embodiment, when the distance between any two selected interfering cells is less than or equal to the preset distance, the preset distance may be set to 5km, so as to ensure that the distance between the selected interfering cells is close enough, and since only two selected interfering cells are likely to be interfered by the same interfering source, the preset distance of 5km is set to avoid selecting interfering cells that are not the same interfering source, thereby affecting subsequent calculation results.
In one embodiment of the present invention, the preset intensity value is preferably chosen to be-110 dBm.
In this embodiment, when determining the preset intensity, select-110 dBm as the preset intensity value.
Fig. 4 is a schematic diagram illustrating a framework of an apparatus for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 4, an apparatus 400 for identifying interference in an LTE network according to this embodiment includes:
a first obtaining unit 402, configured to obtain session data of each cell in a network, and screen out an interference cell in which noise intensity in the session data is greater than a preset threshold;
a first processing unit 404, configured to select at least three selected interfering cells from the interfering cells, where a distance between any two selected interfering cells is less than or equal to a preset distance;
a first calculating unit 406, configured to calculate, according to the coordinates of the selected interfering cell, an interference area covering all the selected interfering cells;
the second processing unit 408 is configured to acquire MR data of all user equipments in the interference area, and define a user equipment whose MR data meets a preset condition as an interference point;
the second calculating unit 410 is configured to calculate an interference coefficient of each interference point according to the MR data of the interference point, and calculate coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
The device 400 for identifying interference in an LTE network comprises a first obtaining unit 402, a first processing unit 404, a first calculating unit 406 and a second processing unit 408, wherein voice system data of each cell in the network is obtained firstly, namely voice system data of all cells in a preset area is obtained, the interference condition of the cells in the whole network and preliminary judgment (such as regional interference, local interference, cell-level interference and the like) on the interference can be preliminarily obtained, interference cells with noise intensity larger than a preset threshold value in the voice system data are screened out, the interference condition of each cell is obtained by taking the cell as a quantity level, cells with noise intensity larger than the preset threshold value in each cell are screened out and are defined as the interference cells; selecting three selected interference cells from a plurality of interference cells, wherein the selection standard is that the distance between any two selected interference cells is smaller than or equal to a preset distance, namely, the distances between a plurality of selected interference cells selected at the same time are ensured to be close enough, at the moment, the selected interference cells are considered to be influenced by the same interference source, and the selected interference cells can be determined as high cell interference caused by an external interference source; after the selected interference cell is determined, an interference area covering all the selected interference cells can be calculated through the coordinates of the selected interference cell, and the interference area can completely cover all the selected interference cells; then acquiring MR (measurement report) data of all user equipment in the interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point position, wherein the position of an interference source can be analyzed for the interfered user when the interfered user is regarded as a point in interference signal radiation in the interference area; then, calculating the interference coefficient of each interference point through the MR data of the interference points, wherein the interference coefficient reflects the interfered strength of each interference point, and when the interference points are close to an interference source, the interfered degree is large, and the correspondingly obtained interference coefficient is also large; and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point. The method calculates the position of the interference source by acquiring the telephone system data and the MR data, uses the computer to perform cluster analysis, and remotely positions the geographical position of the external interference source, thereby solving the problems of low efficiency and low accuracy of the conventional manual interference investigation, realizing the intellectualization of the interference investigation, realizing the accurate positioning of the external interference source such as an interference unit, a pseudo base station and the like, and improving the working efficiency of the external interference investigation.
In one embodiment of the present invention, preferably, the first calculating unit 406 is further configured to obtain longitude and latitude coordinates (X) of the selected interfering cell1...n，Y1...n) Wherein n is the number of the selected interference cells; calculating the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude of the interference area, wherein the calculation formula is as follows: maximum longitude is max (X)1，...，Xn) Minimum longitude is min (X)1，...，Xn) Maximum latitude ═ max (Y)1，...，Yn) Min (Y) is the minimum latitude1，...，Yn) (ii) a Combining the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude into four coordinate points in pairs, wherein a region formed by enclosing the four coordinate points is an interference region.
In this embodiment, a specific scheme for calculating the interference area is provided, for example, if the interference area cannot be determined, invalid data affects the calculation result. By adopting the statistical principle, after the selected interference cells are determined, the longitude and latitude coordinates (X) of all the selected interference cells are obtained1...n，Y1...n) I.e. obtaining longitude and latitude coordinates (X) of each selected interfering cell1，Y1)…(Xn，Yn) Wherein n is the number of the selected interference cells; and then calculating the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude of the interference area according to the longitude and latitude coordinates of all the selected interference cells, wherein the calculation formula is as follows: maximum longitude is max (X)1，...，Xn) Minimum longitude is min (X)1，...，Xn) Maximum latitude ═ max (Y)1，...，Yn) Min (Y) is the minimum latitude1，...，Yn) Selecting a maximum longitude coordinate and a minimum longitude coordinate from longitude coordinates of all selected interference cells, selecting a maximum latitude coordinate and a minimum latitude coordinate from latitude coordinates of all selected interference cells, combining the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude into four coordinate points in pairs, namely, coordinates of the four points are respectively (maximum longitude, maximum latitude), (maximum longitude, minimum latitude), (minimum longitude, maximum latitude) and (minimum longitude, minimum latitude), defining an area formed by enclosing the four coordinate points as an interference area, and determining an interference boundary through the limit longitude and latitude so as to enable the calculation process to be simple and efficient.
Fig. 5 is a block diagram illustrating an apparatus 500 for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 5, an apparatus for identifying interference in an LTE network according to this embodiment includes:
a first obtaining unit 502, configured to obtain session data of each cell in the network, and screen out an interference cell in which noise intensity in the session data is greater than a preset threshold;
a first processing unit 504, configured to select at least three selected interfering cells from the interfering cells, where a distance between any two selected interfering cells is less than or equal to a preset distance;
a first calculating unit 506, configured to calculate an interference area covering all selected interference cells according to the coordinates of the selected interference cells;
a second processing unit 508, configured to acquire MR data of all user equipments within the interference area;
a second obtaining unit 510, configured to screen out a selected user equipment whose interference strength in the MR data is greater than a preset strength value;
a third processing unit 512, configured to use the MR data to cover selected user equipments of at least two selected interfering cells;
the second calculating unit 514 is configured to calculate an interference coefficient of each interference point according to the MR data of the interference point, and calculate coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In this embodiment, after obtaining MR data of all user equipments in an interference area, first, a selected user equipment whose interference strength in the MR data is greater than a preset strength value is screened out, and an interference point is continuously selected in the selected user equipment, where the interference point is determined in a manner that the MR data of the selected user equipment covers at least two selected interference cells, and if the interference of the user equipment is not from external interference, the MR data of the selected user equipment is not easily covered to the at least two selected interference cells, so that the selected user equipment whose MR data covers the at least two selected interference cells is selected from the selected user equipment; meanwhile, when the coordinates of the interference point positions are subsequently determined, the selected interference point positions can be ensured to perform data interaction with at least two selected interference cells, and the coordinates of the interference points can be conveniently calculated.
Fig. 6 is a flowchart illustrating an apparatus 600 for identifying interference in an LTE network according to an embodiment of the present invention. As shown in fig. 6, an apparatus 600 for identifying interference in an LTE network according to this embodiment includes:
a first obtaining unit 602, configured to obtain session data of each cell in a network, and screen out an interference cell in which noise intensity in the session data is greater than a preset threshold;
a first processing unit 604, configured to select at least three selected interfering cells from the interfering cells, where a distance between any two selected interfering cells is less than or equal to a preset distance;
a first calculating unit 606, configured to calculate, according to the coordinates of the selected interfering cell, an interference area covering all the selected interfering cells;
the second processing unit 608 is configured to obtain MR data of all user equipments in the interference area, and define a user equipment whose MR data meets a preset condition as an interference point;
a second calculating unit 610, configured to calculate an interference coefficient of each interference point according to the MR data of the interference point;
a second obtaining unit 612, configured to obtain a communication included angle and a path loss when one interference point location is transmitted with at least two selected interference cells, respectively, and calculate longitude and latitude coordinates of the interference point location;
and a third calculating unit 614, configured to calculate coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
In this embodiment, a scheme for calculating coordinates of the interference point location is provided, and specifically, coordinates of the interference point location are restored by using a triangulation method. The method comprises the steps of obtaining a communication included angle and path loss when an interference point location is transmitted with at least two selected interference cells respectively, extracting power configuration values of the selected interference cells, calculating road loss of adjacent cells by combining RSRP (reference signal received power) values of the adjacent cells, and calculating longitude and latitude coordinates of the interference point location.
In an embodiment of the present invention, preferably, the second obtaining unit 612 is further configured to: acquiring path loss of an interference point location when the interference point location transmits with at least two selected interference cells respectively, and determining first distances between the interference point location and the at least two selected interference cells respectively; acquiring communication included angles when one interference point position transmits with at least two selected interference cells respectively; and calculating longitude and latitude coordinates of the interference point location through at least two first distances and two communication included angles.
In this embodiment, a specific scheme for calculating the coordinates of the interference point location is provided. Obtaining path loss of an interference point when the interference point is respectively transmitted with at least two selected interference cells, namely two path loss values of the same interference point and the two selected interference cells, then respectively determining a first distance between the interference point and the at least two selected interference cells according to the two path loss values, namely the interference point is located in a region with the selected interference cells as a circle center and the first distance as a radius, and drawing at least two circular regions when the number of the selected interference cells is at least two; then, communication included angles when the interference point location is transmitted with at least two selected interference cells are obtained, and after the communication included angles are determined, a straight line where the interference point location is located can be determined; through at least two first distances and two communication included angles, the longitude and latitude coordinates of the interference point position can be calculated.
Specifically, as shown in fig. 7, two or more cells are used to detect the target position at different positions, then the distance from the interference point to the cell is calculated through the path loss, and the longitude and latitude of the interference point are calculated by combining the measured included angles.
In one embodiment of the present invention, preferably, the second calculation unit 610 is further configured to: obtaining the interference intensity in the MR data of each interference point, and calculating the interference coefficient of the interference point by adopting a formula:
where σ i represents the interference coefficient of the ith interference point, and Bi represents the interference strength of the ith interference point.
In this embodiment, when the interference coefficient of each interference point is calculated from the MR data of the interference point, specifically, the interference strength Bi in the MR data of each interference point is first obtained, and a formula is used to calculate σ i, specifically:
according to the formula, according to the signal attenuation characteristic, every 3DB interference coefficient is multiplied by 2 when the signal intensity is reduced by 3DB, the corresponding power attenuation is 1/2, when the interference coefficient is calculated, according to the attenuation characteristic, the interference coefficient of every 3DB is multiplied by 2, then the interference intensity of the point position is acquired through MR, the interference coefficient is calculated, the interference discrete point is quantized, the interference coefficient of each interference point position reflects the interference intensity of each point, when the interference intensity is large, the corresponding interference coefficient is also large, and the point is close to the position of an interference source.
In an embodiment of the present invention, preferably, the third calculation unit 614 is further configured to: obtaining longitude and latitude coordinates (X) of interference point location1...m，Y1...m) Wherein m is the number of interference point positions; the coordinate of the interference source is calculated by adopting a formula: (interference source longitude, interference source latitude) ((1/∑ σ m) × Σ (σ m × (X)m，Ym) σ m) represents the interference coefficient of the mth interference point.
In this embodiment, a specific scheme for calculating the coordinates of the interference source is provided. Firstly, acquiring longitude and latitude coordinates (X) of interference point location1...m，Y1...m) That is, the longitude and latitude coordinates (X) of all the interference points are respectively obtained1，Y1)…(Xm，Ym) Wherein m is the number of interference point locations, and then the weighted interference source coordinate is calculated according to the interference coefficient and the longitude and latitude coordinate of each point, (the weighted interference source longitude, the weighted interference source latitude) is sigma 1X (X)1，Y1)+σ2×(X2，Y2)+σ3×(X3，Y3)+σ4×(X4，Y4)+…σm×(Xm，Ym) I.e. (weighted interferer longitude, weighted interferer latitude) ∑ (σ mx (X)m，Ym)). By adding the coordinates of each interference pointAnd the weight calculation can more accurately determine the coordinates of the interference source according to the interference coefficient. And finally, removing the weight value of the weighted interference source coordinate to obtain the longitude and latitude of the interference source: is (interference source longitude, interference source latitude) ((1/∑ σ m) × Σ (σ m × (X)m，Ym) To ensure the position of the interference source obtained by the final calculation to be accurate and reliable, and the result of the interference source obtained finally is shown in fig. 8.
In one embodiment of the present invention, the preset distance is preferably selected to be 5 km.
In this embodiment, when the distance between any two selected interfering cells is less than or equal to the preset distance, the preset distance may be set to 5km, so as to ensure that the distance between the selected interfering cells is close enough, and since only two selected interfering cells are likely to be interfered by the same interfering source, the preset distance of 5km is set to avoid selecting interfering cells that are not the same interfering source, thereby affecting subsequent calculation results.
In one embodiment of the present invention, the preset intensity value is preferably chosen to be-110 dBm.
In this embodiment, when determining the preset intensity, select-110 dBm as the preset intensity value.
Fig. 9 is a flowchart of a method for identifying interference in an LTE network according to the present invention, where the method determines an interference cell according to interference cell speech system data, and determines an interference region by taking a maximum value and a minimum value according to latitude and longitude of a base station. The UE reports MR (measurement report) data and reduces the latitude and longitude of the UE by a triangulation method, and the closer to an interference source, the stronger the interference is according to the signal attenuation characteristic. And acquiring the weighted longitude and latitude by acquiring the discrete interference points and quantizing (adding interference coefficients) the discrete interference points. According to the signal radiation characteristics, an open interference source radiates outwards in a circle mode, 4 interference points are found out and connected to form a cross line (2 points determine a line, 4 points determine 2 cross lines), the cross point is the gravity center of the 4 interference points (namely the strongest interference point in the region), and when the number of the cross points is large enough, the gravity center infinitely tends to interfere with the source position. The interference factor doubles for every 3dB increase in interference strength, based on an interference signal strength of-110 dB (where the interference factor is 1). Calculating the formula: and the interference weighting longitude and latitude is equal to the interference coefficient multiplied by the interference UE acquisition point longitude and latitude. And then calculating weighted longitude and latitude of all the interferences, and dividing the weighted longitude and latitude by the sum of the weighting coefficients after summing. Obtaining the longitude and latitude of the interference source, and calculating a formula: longitude and latitude of the interference source is (1/(∑ σ)) × (Σσ × (longitude and latitude))
In addition, the method for identifying interference in the LTE network according to the embodiment of the present invention described in conjunction with fig. 1 to 3 may be implemented by a device for identifying interference in the LTE network. Fig. 10 is a schematic diagram illustrating a hardware structure of a device for identifying interference in an LTE network according to an embodiment of the present invention.
A device that identifies interference within an LTE network may include a processor 401 and a memory 402 that stores computer program instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the above-described methods for identifying interference in the LTE network.
In one example, a device that identifies interference within an LTE network may also include a communication interface 403 and a bus 410. As shown in fig. 10, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
In addition, in combination with the method for identifying interference in the LTE network in the foregoing embodiment, an embodiment of the present invention may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the above described embodiments of a method of identifying interference within an LTE network.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (12)
1. A method of identifying interference within an LTE network, the method comprising:
acquiring voice system data of each cell in a network, and screening out interference cells with noise intensity greater than a preset threshold value in the voice system data;
selecting at least three selected interference cells from the interference cells, wherein the distance between any two selected interference cells is less than or equal to a preset distance;
calculating an interference area covering all the selected interference cells according to the coordinates of the selected interference cells;
acquiring MR data of all user equipment in the interference area, and defining the user equipment of which the MR data meets a preset condition as an interference point;
and calculating the interference coefficient of each interference point according to the MR data of the interference points, and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
2. The method of claim 1, wherein the step of calculating an interference area covering all of the selected interfering cells according to the coordinates of the selected interfering cells comprises:
obtaining longitude and latitude coordinates (X) of the selected interfering cell1...n，Y1...n) Wherein n is the number of the selected interference cells;
calculating the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude of the interference area, wherein the calculation formula is as follows: maximum longitude is max (X)1，...，Xn) Minimum longitude is min (X)1，...，Xn) Maximum latitude ═ max (Y)1，...，Yn) Min (Y) is the minimum latitude1，...，Yn)；
Combining the maximum longitude, the minimum longitude, the maximum latitude and the minimum latitude into four coordinate points in pairs, wherein an area formed by enclosing the four coordinate points is the interference area.
3. The method according to claim 1, wherein the step of defining the user equipment with the MR data meeting the preset condition as the interference point location comprises:
screening out selected user equipment of which the interference intensity is greater than a preset intensity value in the MR data;
the interference points are the selected user equipments of which the MR data covers at least two of the selected interfering cells.
4. The method according to claim 1, wherein before the step of calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point, the method further comprises:
and acquiring a communication included angle and path loss when one interference point location is transmitted with at least two selected interference cells respectively, and calculating longitude and latitude coordinates of the interference point location.
5. The method according to claim 4, wherein the step of obtaining a communication angle and a path loss when one of the interference points transmits to at least two of the selected interference cells, and calculating longitude and latitude coordinates of the interference points comprises:
obtaining the path loss when one interference point location transmits with at least two selected interference cells respectively, and determining first distances between the interference point location and the at least two selected interference cells respectively;
acquiring the communication included angle between one interference point location and at least two selected interference cells when the interference point location is transmitted respectively;
and calculating longitude and latitude coordinates of the interference point location according to the at least two first distances and the at least two communication included angles.
6. The method according to any one of claims 1 to 5, wherein the step of calculating the interference coefficient of each interference point location from the MR data of the interference point locations comprises:
obtaining the interference intensity in the MR data of each interference point, and calculating the interference coefficient of the interference point by adopting a formula:
where σ i represents the interference coefficient of the ith interference point, and Bi represents the interference strength of the ith interference point.
7. The method according to claim 6, wherein the step of calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point comprises:
obtaining longitude and latitude coordinates (X) of the interference point location1...m，Y1...m) Wherein m is the number of the interference points;
and calculating the coordinates of the interference source by adopting a formula:
(interference source longitude, interference source latitude) ((1/∑ σ m) × Σ (σ m × (X)m，Ym) σ m) represents the interference coefficient of the mth interference point.
8. Method for identifying interference within an LTE network according to any of claims 1 to 5,
the preset distance is selected to be 5 km.
9. The method of identifying interference within an LTE network of claim 3,
the preset intensity value is selected to be-110 dBm.
10. An apparatus for identifying interference within an LTE network, the apparatus comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring speech system data of each cell in the network and screening out interference cells of which the noise intensity is greater than a preset threshold value in the speech system data;
the first processing unit is used for selecting at least three selected interference cells from the interference cells, and the distance between any two selected interference cells is smaller than or equal to a preset distance;
a first calculating unit, configured to calculate, according to the coordinates of the selected interfering cell, an interference area covering all the selected interfering cells;
the second processing unit is used for acquiring MR data of all user equipment in the interference area and defining the user equipment of which the MR data meets a preset condition as an interference point;
and the second calculation unit is used for calculating the interference coefficient of each interference point according to the MR data of the interference points, and calculating the coordinates of the interference source according to the interference coefficient of each interference point and the coordinates of each interference point.
11. An apparatus for identifying interference within an LTE network, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-9.
12. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-9.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102075979A (en) * | 2009-11-23 | 2011-05-25 | 中国移动通信集团北京有限公司 | Method and device for positioning in-band interference |
| CN103067931A (en) * | 2011-10-20 | 2013-04-24 | 中国移动通信集团广东有限公司 | Method and device capable of positioning interference source in wireless network |
| WO2014063275A1 (en) * | 2012-10-26 | 2014-05-01 | 同济大学 | Method for determining remote same-frequency interference source and locating method therefor |
| CN105163344A (en) * | 2015-09-22 | 2015-12-16 | 珠海世纪鼎利科技股份有限公司 | Method for positioning TD-LTE intra-system interference |
| CN107787595A (en) * | 2015-06-25 | 2018-03-09 | 艾尔斯潘网络公司 | Manage the external disturbance in wireless network |
| CN108243448A (en) * | 2016-12-26 | 2018-07-03 | 中国移动通信集团设计院有限公司 | The determining method and device of interference strength in a kind of cell system |
| CN108243447A (en) * | 2016-12-23 | 2018-07-03 | 中国移动通信集团设计院有限公司 | The localization method and device of a kind of external disturbance |
| CN108696886A (en) * | 2017-04-11 | 2018-10-23 | 中国移动通信集团湖北有限公司 | The method and apparatus in location interference source |
-
2018
- 2018-12-10 CN CN201811504532.3A patent/CN111294920B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102075979A (en) * | 2009-11-23 | 2011-05-25 | 中国移动通信集团北京有限公司 | Method and device for positioning in-band interference |
| CN103067931A (en) * | 2011-10-20 | 2013-04-24 | 中国移动通信集团广东有限公司 | Method and device capable of positioning interference source in wireless network |
| WO2014063275A1 (en) * | 2012-10-26 | 2014-05-01 | 同济大学 | Method for determining remote same-frequency interference source and locating method therefor |
| CN107787595A (en) * | 2015-06-25 | 2018-03-09 | 艾尔斯潘网络公司 | Manage the external disturbance in wireless network |
| EP3314963A1 (en) * | 2015-06-25 | 2018-05-02 | Airspan Networks Inc. | Managing external interference in a wireless network |
| CN105163344A (en) * | 2015-09-22 | 2015-12-16 | 珠海世纪鼎利科技股份有限公司 | Method for positioning TD-LTE intra-system interference |
| CN108243447A (en) * | 2016-12-23 | 2018-07-03 | 中国移动通信集团设计院有限公司 | The localization method and device of a kind of external disturbance |
| CN108243448A (en) * | 2016-12-26 | 2018-07-03 | 中国移动通信集团设计院有限公司 | The determining method and device of interference strength in a kind of cell system |
| CN108696886A (en) * | 2017-04-11 | 2018-10-23 | 中国移动通信集团湖北有限公司 | The method and apparatus in location interference source |
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|---|---|
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