CN111278040A - Interference source positioning method, device, equipment and computer storage medium - Google Patents
Interference source positioning method, device, equipment and computer storage medium Download PDFInfo
- Publication number
- CN111278040A CN111278040A CN201811480498.0A CN201811480498A CN111278040A CN 111278040 A CN111278040 A CN 111278040A CN 201811480498 A CN201811480498 A CN 201811480498A CN 111278040 A CN111278040 A CN 111278040A
- Authority
- CN
- China
- Prior art keywords
- interference source
- determining
- data
- intersection point
- angle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000005259 measurement Methods 0.000 claims abstract description 35
- 238000004590 computer program Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 8
- 230000002411 adverse Effects 0.000 abstract description 7
- 238000011156 evaluation Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 7
- 238000005457 optimization Methods 0.000 description 5
- 238000011835 investigation Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000008034 disappearance Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
Abstract
The invention discloses an interference source positioning method, an interference source positioning device, interference source positioning equipment and a computer storage medium. Firstly, identifying interfered sampling points according to the characteristics of external interference; secondly, calculating an average eNB antenna arrival angle based on the antenna arrival angle interval in the sampling point data, and combining the actual azimuth angle of the cell in the base station configuration information to obtain angle information between the interference source and each interfered cell. And finally, based on the idea that the intersection point density of the position of the intersection point is in direct proportion to the data quality of the intersection point position, performing data quality measurement evaluation on a target estimation position point generated by each measured value in a two-dimensional space, determining the contribution of the measured value to an interference source positioning result, and accurately positioning the interference source. According to the embodiment of the invention, the adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of the external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a computer storage medium for locating an interference source.
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. Interference can be classified into intra-system interference and inter-system interference according to the cause of interference generation.
In intersystem interference, an external jammer is an interference method adopted for blocking a mobile communication signal for a special purpose. Generally, the output power is high, so that the mobile phone cannot detect normal broadcast messages sent by the base station, the mobile phone cannot establish connection with the base station, and meanwhile, the call quality of users in peripheral cells is abnormal.
The types of external disturbers currently found are: the method is applied to conference confidentiality, qualification examinations of universities and countries, legal jammers of security units and gas stations, jammers and pseudo base stations installed by private persons for own benefits and the like.
The main characteristic of the external interference is timeliness, and the occurrence of the external interference has a strong time law, namely, the external interference occurs in the time period of the opening of the interference. Concealment, in order to avoid an unsubscribed inspection, the illegal jammer is usually installed at a concealed location and is not easy to find. Destructively, the interference signal generated by the jammer will affect the uplink and downlink signals of multiple cells in the peripheral range, resulting in the degradation of the regional service quality.
Currently, a portable spectrometer, such as a tek YBT250 and an anli MS2713E, is used for positioning an external interference source, and the positioning analysis is performed manually on site, and the checking steps are as follows:
1) determining the temporal characteristics and approximate area of an external interference source
The uplink interference band statistics of the interfered cell, for example, the interference base noise strength ≧ 110dbm and the adjacent cell are carried out for a long time (at least 24 hours), the regularity of the occurrence time of the interference (simultaneous occurrence and simultaneous disappearance) is found, and the interference of the same interference source to a plurality of cells is judged.
2) Search on site
And in the time period with the strongest interference, carrying the portable frequency spectrograph and the yagi antenna to the roof of the interfered cell, pointing the yagi antenna to different directions, finding the direction with the largest interference signal and recording the azimuth angle by using a compass. And then, repeating the steps to the roof of the next cell interfered by the same interference source.
3) Preliminary location of external interference source region
The maximum interference directions recorded by testing at different positions are used, and a cross-connection method is adopted, such as a schematic diagram of the existing interference source positioning method shown in fig. 1, to preliminarily determine an approximate position area where the interference source is located.
4) Determining external interference source location
Carrying the test instrument, searching the preliminarily determined interference source region, gradually reducing the region of the interference source and finally positioning.
The existing interference checking method has the following defects of time and labor consumption, long-time field search by optimization personnel, and even accurate positioning after multiple times of checking; the positioning of the external interference source needs to be performed when the interference signal is relatively stable and the interference is relatively obvious.
Disclosure of Invention
In order to solve at least one technical problem, embodiments of the present invention provide a method, an apparatus, a device, and a computer storage medium for locating an interference source, so as to implement remote, intelligent, and accurate interference source troubleshooting, and improve the work efficiency of interference source troubleshooting. The adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of an external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.
In a first aspect, an embodiment of the present invention provides an interference source positioning method, where the method includes:
acquiring telephone traffic statistical data, Measurement Report (MR) data and base station configuration data of an interfered cell;
determining an angle between the interfered cell and an interference source according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;
connecting any two interfered cells with the interference source to form two direction-finding lines, and determining intersection point coordinates of any two direction-finding lines according to an angle between the interfered cells and the interference source;
determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates, and determining the minimum value of the sum of all the distances;
determining the quality index of the intersection point according to the sum of all the distances and the minimum value;
selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;
and determining the position of the interference source according to the selected intersection point.
According to the interference source positioning method provided by the invention, the determining the position of the interference source according to the selected intersection point comprises the following steps:
and taking the coordinate mean value of the selected intersection point as the position coordinate of the interference source.
According to the interference source positioning method provided by the invention, the method further comprises the following steps:
judging whether the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined;
if not, connecting any two undetermined interfered cells with the interference source to form two direction-finding lines, and determining the intersection point coordinates of any two direction-finding lines according to the angle between the interfered cells and the interference source;
until the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined.
According to the interference source positioning method provided by the invention, the method further comprises the following steps:
acquiring traffic statistic data of all cells;
and determining the interfered cell according to the traffic statistic data of all the cells.
According to the interference source positioning method provided by the present invention, the determining the angle between the interfered cell and the interference source according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell includes:
determining the antenna arrival angle of the interfered cell according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;
dividing the arrival angle of the antenna into intervals with preset number, and determining the azimuth deviation and weight coefficient of each interval;
determining the mean value of the arrival angles of the antennas according to the azimuth angle deviation and the weight coefficient of the interval;
and taking the antenna arrival angle mean value as an angle between the interfered cell and an interference source.
According to the interference source positioning method provided by the present invention, the determining the antenna arrival angle of the interfered cell according to the traffic statistic data, MR data and base station configuration data of the interfered cell includes:
determining an antenna azimuth angle of the interfered cell according to the telephone traffic statistical data and the base station configuration data of the interfered cell;
determining an included angle between the terminal incidence direction and the base station normal direction according to the MR data;
and determining the antenna arrival angle of the interfered cell according to the antenna azimuth angle of the interfered cell and the included angle between the terminal incidence direction and the normal direction of the base station.
According to the interference source positioning method provided by the invention, the method further comprises the following steps:
and determining the coordinates of the interfered cell according to the base station configuration data.
According to the interference source positioning method provided by the invention, the determining the quality index of the intersection point according to the sum of all the distances and the minimum value comprises the following steps:
and calculating the ratio of the minimum value to the sum of all the distances, and taking the ratio as the quality index of the intersection point.
According to the method for locating the interference source provided by the invention, the MR data comprises:
the reference signal received power of the interfered cell, the received interference power of the interfered cell, and the antenna arrival angle of the interfered cell.
In a second aspect, an embodiment of the present invention provides an interference source positioning apparatus, where the apparatus includes:
the data acquisition module is used for acquiring telephone traffic statistical data, measurement report MR data and base station configuration data of the interfered cell;
an angle determining module, configured to determine an angle between the interfered cell and an interference source according to the traffic statistics data, MR data, and base station configuration data of the interfered cell;
an intersection coordinate determination module, configured to connect any two interfered cells with the interference source to form two direction finding lines, and determine an intersection coordinate of any two direction finding lines according to an angle between the interfered cell and the interference source;
the minimum value determining module is used for determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates and determining the minimum value of the sum of all the distances;
the quality index determining module is used for determining the quality index of the intersection point according to the sum of all the distances and the minimum value;
the intersection point selection module is used for selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;
and the position determining module is used for determining the position of the interference source according to the selected intersection point.
In a third aspect, an embodiment of the present invention provides an interference source positioning apparatus, 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 interference source positioning method, the device, the equipment and the computer storage medium provided by the embodiment of the invention, firstly, interfered sampling points are identified according to the characteristics of external interference; secondly, calculating an average eNB antenna arrival angle based on the antenna arrival angle interval in the sampling point data, and combining the actual azimuth angle of the cell in the base station configuration information to obtain angle information between the interference source and each interfered cell. And finally, based on the idea that the intersection point density of the position of the intersection point is in direct proportion to the data quality of the intersection point position, performing data quality measurement evaluation on a target estimation position point generated by each measured value in a two-dimensional space, determining the contribution of the measured value to an interference source positioning result, and accurately positioning the interference source. According to the embodiment of the invention, the adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of the external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.
According to the embodiment of the invention, the interference source is accurately positioned, and the working efficiency of interference source investigation is improved.
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 shows a schematic diagram of a prior art interference source locating method;
fig. 2 is a flow chart of an interference source locating method according to an embodiment of the present invention;
fig. 3 is a flow chart of an interference source locating method according to another embodiment of the present invention;
FIG. 4 shows a schematic side cross-positioning of an embodiment of the present invention;
FIG. 5 shows a schematic diagram of the antenna angle of arrival of an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an interference source locating apparatus according to an embodiment of the present invention;
fig. 7 shows a hardware configuration diagram of the interference source locating device according to the 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.
The method, apparatus, device and computer storage medium for locating an interference source according to embodiments of the present invention are described in detail below with reference to fig. 2 to 7. It should be noted that the examples are not intended to limit the scope of the present invention.
Fig. 2 is a flowchart illustrating an interference source locating method according to an embodiment of the present invention. As shown in fig. 2, the method for locating an interference source according to the embodiment of the present invention includes the following steps:
s110, obtaining telephone traffic statistical data, measurement report MR data and base station configuration data of the interfered cell;
s120, determining an angle between the interfered cell and an interference source according to the telephone traffic statistical data, the MR data and the base station configuration data of the interfered cell;
s130, connecting any two interfered cells with an interference source to form two direction-finding lines, and determining intersection point coordinates of any two direction-finding lines according to an angle between the interfered cells and the interference source;
s140, determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates, and determining the minimum value of the sum of all the distances;
s150, determining the quality index of the intersection point according to the sum and the minimum value of all the distances;
s160, selecting an intersection point corresponding to the quality index not less than a preset quality threshold;
and S170, determining the position of the interference source according to the selected intersection point.
Further, the coordinate mean value of the selected intersection points is used as the interference source position coordinate. Judging whether the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined; if not, connecting any two undetermined interfered cells with the interference source to form two direction-finding lines, and determining the intersection point coordinates of any two direction-finding lines according to the angle between the interfered cells and the interference source; until the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined.
In the embodiment of the invention, the adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of the external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.
The invention refers to the design concept of Wireless Sensor Networks (WSNs), and takes interfered Wireless cells as Sensor nodes, and the scheme is designed based on the following three assumptions: 1. the interference source is in a common detection area of each sensor; 2. the number of the sensors is more than 3, and the positions of the sensors are fixed; 3. the analysis range is in a two-dimensional plane.
The invention takes the most concentrated place of the intersection point of the interference direction-finding lines as the position of the interference source. Firstly, identifying an interfered sampling point according to the characteristics of external interference; secondly, calculating an average evolution Node B (eNB) antenna Arrival Angle based on an antenna-of-Arrival (AOA) interval in the sampling point data, and combining the actual azimuth Angle of the cell in the base station configuration information to obtain the Angle information between the interference source and each interfered cell. And finally, based on the idea that the intersection point density of the position of the intersection point is in direct proportion to the data quality of the intersection point position, performing data quality measurement evaluation on a target estimation position point generated by each measured value in a two-dimensional space, determining the contribution of the measured value to an interference source positioning result, and accurately positioning the interference source.
The invention can effectively eliminate the adverse effect of low-quality measurement values on the positioning result, improves the positioning precision of an external interference source, and enables the utilization of the measurement data to achieve the unification of sufficiency and rationality.
Fig. 3 is a flowchart illustrating an interference source locating method according to another embodiment of the present invention. As shown in fig. 3, the method for locating an interference source according to the embodiment of the present invention includes the following steps:
the method comprises the following steps: extracting interfering cell telephony systems
In daily optimization, the interference situation of the whole network cell and the preliminary judgment on the interference type can be preliminarily obtained through analyzing the cell traffic statistical data. Such as regional interference, local interference, cell level interference, etc.
For cells that are subject to interference, for example: the interference background noise intensity is larger than or equal to-110 dbm, and the adjacent cells carry out long-time (at least 24 hours) uplink interference band statistics, find out the regularity of the occurrence time of the interference (simultaneously appear and simultaneously disappear), and count the cell list interfered by the same interference source.
Step two: acquisition of interfering cell MR data
MR measurement is an important function of a Time Division Long Term Evolution (TD-LTE) system, and the measurement result reported by the physical layer can be used for operation and maintenance of the system and observation of the operating state of the system. The measurement report data mainly comes from a User Equipment (UE), a physical layer of an enodeb, a Radio Link Control (RLC) layer, and a measurement report generated by calculation in a Radio resource management process. In the external disturbance optimization process, MR data plays a very important role as the most accurate measurement data.
According to the result obtained by the analysis in the first step, the MR data of each interfered cell is extracted (the original measurement data is directly reported to a wireless Operation and Maintenance Center-Radio (OMC-R) and stored in a sample data form), and the MR data relates to the main fields shown in table 1.
TABLE 1
Ltescrsrp: defined as the linear average of the power (W) of the Resource Elements (RE) carrying the cell-specific reference signals over the frequency band considered for the measurement, is the main indicator reflecting the serving cell coverage.
Receivedpower-defined as the interference power, including thermal noise, over one Physical Resource Block (PRB) bandwidth.
Ltescaoa defines an estimated angle of the user counterclockwise with respect to the reference direction.
Step three: extracting base station profiles
The base station configuration file is an important basic data source in daily optimization and has a considerable effect on network optimization. In interference elimination, the longitude and latitude and the antenna azimuth angle of each cell are extracted from the configuration file of the base station and are used for calculating the direction-finding line angle of an interference source.
Step four: calculating interference source and interfered cell angle information
And screening sampling points with the MR.LtesScRSRP being-90 dBm and the MR.LtesScRIP being-105 dBm as sampling points subjected to external interference according to the Original sampling point data (MRO) of the Measurement Report extracted in the second step, and constructing AOA Measurement statistics by adopting the segmented interval of the MR.LtesScAOA.
The AOA measurement statistics divided the interference sample points into 72 intervals, AOA00 through AOA71, each interval representing a 5 degree included angle. And counting the angle of the user under the cell by taking the normal angle of the antenna as AOA 00. Table 2 shows the AOA to azimuth deviation statistics.
TABLE 2
And calculating an average eNB antenna arrival angle by combining the division of the sampling point intervals, wherein the average eNB antenna arrival angle is used as angle information theta between the interfered cell and the interference source.
When calculating the "average eNB antenna arrival angle", the 72 intervals are divided into 2 sections (AOA _00-AOA _35 and AOA _36-AOA _ 71). Wherein, the weight coefficient value of AOA _00-AOA _35 is the median of the interval (namely the azimuth deviation/2 of the interval), and the coefficient value of AOA _36-AOA _71 is subtracted by 360 (namely the azimuth deviation-360 of the interval) on the basis of the original median.
The calculation formula (1) is as follows:
average eNB antenna angle of arrival ═ (2.5 AOA _00+ ·+177.5 AOA _35+ (-177.5) AOA _36+ ·+ (-2.5) AOA _71)/(AOA _00+ ·+ AOA _35+ AOA _36+ ·+ AOA _71) (1)
It should be noted that table 2 is only an example, and the data of formula (1) does not completely correspond to the data of table 2, but does not affect the idea of the present invention.
Step five: calculating the coordinates of the intersection point of the direction-finding lines
Connecting the interfered cell and the interference source to form a direction-finding line, and calculating an intersection coordinate example of any two direction-finding lines, as shown in fig. 4.
Si(xi，yi)，Sj(xi，yi) For arbitrary selection of N (N)>3) ofCoordinates of two of the interfered cells; thetai,θjForming a measuring line for the angle information of the interference source and the interfered cell (calculated according to the average eNB antenna arrival angle and the actual antenna azimuth angle configured for the cell) calculated in the step four and according to the coordinate of the interfered cell and the angle information between the interfered cell and the interference source, and Eij(xij，yij) Is the coordinate of the intersection point of the two direction-finding lines.
The following relational expression (2) is given:
finishing to obtain a relation formula (3):
the coordinates E of the intersection point of the two direction-finding lines can be obtainedij(xij，yij). In the same way, the coordinates of the intersection points of the plurality of direction-finding lines can be obtained.
Aoa (eNB antenna angle of arrival) defines an estimated angle of the user equipment in a counter-clockwise direction with respect to a reference direction. In the mobile group norm, it is specified that the reference direction should be the true north direction. Aoa measurements need to be matched to the cell antenna configuration azimuth, which represents the angle between the antenna normal direction and the due north direction (counterclockwise rotation).
As shown in fig. 5, there is the following expression (4):
AoA＝ΩBS+θAOA(4)
wherein AoA is the included angle between the incident direction of the terminal to be solved and the due north direction, and omegaBSIs the angle between the normal direction of the cell antenna and the north direction, thetaAOAIs the included angle between the incident direction of the terminal and the normal direction of the base station.
Step six: clustering direction-finding line intersection points
Finding the sum of the distances of each intersection:
arbitrary intersection point Eij(i,j∈[1，2，..，N](ii) a i ≠ j) to all othersDistance of intersection and expression DijIs the expression (5):
finding the minimum value of the distance sum, as expressed in expression (6):
Dmin＝min(Dij) (6)
then arbitrary intersection point EijThe data quality of (c) can be measured by the following formula, as expressed in expression (7):
γijthe larger the intersection point is, the higher the intensity of the intersection point is, and EijThe greater the number of surrounding intersections.
Setting a density check threshold X0(0＜X0< 1). For intersections E less than the verify thresholdijBecause of its low density, it is inconsistent with the tendency exhibited by most other intersections and is discarded as an abnormal value.
And circulating the steps to finish the clustering process of the intersection points of the direction-finding lines with higher density.
Step seven: calculating external interference source position coordinates
And the position estimation of the interference source takes the average value of coordinates of the six intersection points in the step, such as expression (8):
wherein n is the number of the clustered intersections, (x)i，yi) As the coordinates of the intersection point, (x)e，ye) Is the interference source location coordinate.
In the embodiment of the invention, data quality measurement evaluation is carried out on target estimation position points generated by each measured value in a two-dimensional space, and the contribution degree of the measured value to an interference source positioning result is determined; meanwhile, a clustering idea is introduced to complete real-time screening of high-quality position data, and accurate positioning of an interference source is realized through the high-quality data. The algorithm can effectively eliminate the adverse effect of low-quality measurement values on positioning results and improve the positioning accuracy.
The invention makes up the problems of low efficiency and low accuracy of the existing manual investigation of the external interference source, and realizes the remote, intelligent and precise investigation of the external interference source. And realizing accurate positioning for external interference sources such as an interference unit, a blocker, a pseudo base station and the like. The working efficiency of external interference investigation is improved.
Fig. 6 shows a schematic structural diagram of an interference source locating apparatus according to an embodiment of the present invention. As shown in fig. 6, the interference source positioning apparatus according to the embodiment of the present invention includes the following modules:
a data obtaining module 701, configured to obtain traffic statistics data, measurement report MR data, and base station configuration data of an interfered cell;
an angle determining module 702, configured to determine an angle between the interfered cell and an interference source according to the traffic statistics data, MR data, and base station configuration data of the interfered cell;
an intersection coordinate determining module 703, configured to connect any two interfered cells with the interference source to form two direction finding lines, and determine an intersection coordinate of any two direction finding lines according to an angle between the interfered cell and the interference source;
a minimum value determining module 704, configured to determine, according to the intersection coordinates, a sum of distances from any intersection to all other intersections, and determine a minimum value of the sum of all distances;
a quality index determining module 705, configured to determine a quality index of the intersection point according to the sum and the minimum of all the distances;
an intersection point selection module 706, configured to select an intersection point corresponding to a quality index that is not less than a preset quality threshold;
and a position determining module 707, configured to determine a position of the interference source according to the selected intersection point.
In one embodiment, the position determination module 707 is specifically configured to use a coordinate mean of the selected intersection points as the interference source position coordinates.
In one embodiment, the intersection coordinate determining module 703 is specifically configured to determine whether the intersection coordinates of the direction-finding lines of all interfered cells and the interference source are determined;
if not, connecting any two undetermined interfered cells with the interference source to form two direction-finding lines, and determining the intersection point coordinates of any two direction-finding lines according to the angle between the interfered cells and the interference source;
until the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined.
In one embodiment, the data obtaining module 701 is specifically configured to obtain traffic statistics data of all cells;
and determining the interfered cell according to the traffic statistic data of all cells.
In one embodiment, the angle determining module 702 is specifically configured to determine an antenna arrival angle of the interfered cell according to the traffic statistics data, MR data, and base station configuration data of the interfered cell;
dividing the arrival angle of the antenna into intervals with preset number, and determining the azimuth deviation and weight coefficient of each interval;
determining an antenna arrival angle mean value according to the azimuth angle deviation and the weight coefficient of the interval;
and taking the average value of the arrival angles of the antennas as an angle between the interfered cell and an interference source.
In one embodiment, the angle determining module 702 is specifically configured to determine an antenna azimuth angle of the interfered cell according to the traffic statistic data of the interfered cell and the base station configuration data;
determining an included angle between the terminal incidence direction and the base station normal direction according to the MR data;
and determining the antenna arrival angle of the interfered cell according to the antenna azimuth angle of the interfered cell and the included angle between the terminal incidence direction and the normal direction of the base station.
In an embodiment, the intersection coordinate determining module 703 is specifically configured to determine the coordinates of the interfered cell according to the base station configuration data.
In one embodiment, the quality indicator determining module 704 is specifically configured to calculate a ratio of the minimum value to the sum of all the distances, and use the ratio as the quality indicator of the intersection point.
In an embodiment, the data obtaining module 701 is specifically configured to obtain a reference signal received power of the interfered cell, a received interference power of the interfered cell, and an antenna arrival angle of the interfered cell.
In the embodiment of the invention, firstly, an interfered sampling point is identified according to the characteristics of external interference; secondly, calculating an average eNB antenna arrival angle based on the antenna arrival angle interval in the sampling point data, and combining the actual azimuth angle of the cell in the base station configuration information to obtain angle information between the interference source and each interfered cell. And finally, based on the idea that the intersection point density of the position of the intersection point is in direct proportion to the data quality of the intersection point position, performing data quality measurement evaluation on a target estimation position point generated by each measured value in a two-dimensional space, determining the contribution of the measured value to an interference source positioning result, and accurately positioning the interference source. According to the embodiment of the invention, the adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of the external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.
In addition, the interference source positioning method described in conjunction with fig. 2 according to the embodiment of the present invention may be implemented by an interference source positioning device. Fig. 7 is a schematic diagram illustrating a hardware structure of an interference source locating device according to an embodiment of the present invention.
Computing device 1000 includes input device 1001, input interface 1002, processor 1003, memory 1004, output interface 1005, and output device 1006.
The input interface 1002, the processor 1003, the memory 1004, and the output interface 1005 are connected to each other via a bus 1010, and the input device 1001 and the output device 1006 are connected to the bus 1010 via the input interface 1002 and the output interface 1005, respectively, and further connected to other components of the computing device 1000.
Specifically, the input device 1001 receives input information from the outside and transmits the input information to the processor 1003 via the input interface 1002; the processor 1003 processes the input information based on computer-executable instructions stored in the memory 1004 to generate output information, stores the output information temporarily or permanently in the memory 1004, and then transmits the output information to the output device 1006 through the output interface 1005; output device 1006 outputs the output information external to computing device 1000 for use by a user.
The computing device 1000 may perform the steps of the interference source locating method described above in this application.
Processor 1003 may be one or more Central Processing Units (CPUs). When the processor 601 or the processor 701 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.
The memory 1004 may be, but is not limited to, one or more of Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), compact disc read only memory (CD-ROM), a hard disk, and the like. The memory 1004 is used to store program codes.
It is understood that, in the embodiment of the present application, the functions of any one or all of the processing modules provided in fig. 6 may be implemented by the central processing unit 1003 shown in fig. 7.
The embodiment of the present invention further provides a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the computer program instructions implement the steps in the interference source positioning method according to the embodiment of the present invention.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
All parts of the specification are described in a progressive mode, the same and similar parts of all embodiments can be referred to each other, and each embodiment is mainly introduced to be different from other embodiments. In particular, as to the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple and reference may be made to the description of the method embodiments in relevant places.
Claims (12)
1. A method of interferer location, the method comprising:
acquiring telephone traffic statistical data, measurement report MR data and base station configuration data of an interfered cell;
determining an angle between the interfered cell and an interference source according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;
connecting any two interfered cells with the interference source to form two direction-finding lines, and determining intersection point coordinates of any two direction-finding lines according to an angle between the interfered cells and the interference source;
determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates, and determining the minimum value of the sum of all the distances;
determining the quality index of the intersection point according to the sum of all the distances and the minimum value;
selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;
and determining the position of the interference source according to the selected intersection point.
2. The method of claim 1, wherein determining the location of the interferer based on the selected intersection comprises:
and taking the coordinate mean value of the selected intersection point as the position coordinate of the interference source.
3. The method of claim 1, further comprising:
judging whether the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined;
if not, connecting any two undetermined interfered cells with the interference source to form two direction-finding lines, and determining the intersection point coordinates of any two direction-finding lines according to the angle between the interfered cells and the interference source;
until the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined.
4. The method of claim 1, further comprising:
acquiring traffic statistic data of all cells;
and determining the interfered cell according to the traffic statistic data of all the cells.
5. The method of claim 1, wherein the determining the angle between the interfered cell and an interferer according to the traffic statistics, MR data, and base station configuration data for the interfered cell comprises:
determining the antenna arrival angle of the interfered cell according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;
dividing the arrival angle of the antenna into intervals with preset number, and determining the azimuth deviation and weight coefficient of each interval;
determining the mean value of the arrival angles of the antennas according to the azimuth angle deviation and the weight coefficient of the interval;
and taking the antenna arrival angle mean value as an angle between the interfered cell and an interference source.
6. The method of claim 5, wherein the determining the antenna angle of arrival of the interfered cell according to the traffic statistics, MR data and base station configuration data of the interfered cell comprises:
determining an antenna azimuth angle of the interfered cell according to the telephone traffic statistical data and the base station configuration data of the interfered cell;
determining an included angle between the terminal incidence direction and the base station normal direction according to the MR data;
and determining the antenna arrival angle of the interfered cell according to the antenna azimuth angle of the interfered cell and the included angle between the terminal incidence direction and the normal direction of the base station.
7. The method of claim 1, further comprising:
and determining the coordinates of the interfered cell according to the base station configuration data.
8. The method of claim 1, wherein determining the quality indicator of the intersection point according to the sum of all the distances and the minimum value comprises:
and calculating the ratio of the minimum value to the sum of all the distances, and taking the ratio as the quality index of the intersection point.
9. The method according to any one of claims 1-8, wherein the MR data includes:
the reference signal received power of the interfered cell, the received interference power of the interfered cell, and the antenna arrival angle of the interfered cell.
10. An interference source locating apparatus, the apparatus comprising:
the data acquisition module is used for acquiring telephone traffic statistical data, measurement report MR data and base station configuration data of the interfered cell;
an angle determining module, configured to determine an angle between the interfered cell and an interference source according to the traffic statistics data, MR data, and base station configuration data of the interfered cell;
the intersection point coordinate determination module is used for connecting any two interfered cells with the interference source to form two direction-finding lines and determining the intersection point coordinate of any two direction-finding lines according to the angle between the interfered cells and the interference source;
the minimum value determining module is used for determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates and determining the minimum value of the sum of all the distances;
the quality index determining module is used for determining the quality index of the intersection point according to the sum of all the distances and the minimum value;
the intersection point selection module is used for selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;
and the position determining module is used for determining the position of the interference source according to the selected intersection point.
11. An interferer locating device, 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811480498.0A CN111278040A (en) | 2018-12-05 | 2018-12-05 | Interference source positioning method, device, equipment and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811480498.0A CN111278040A (en) | 2018-12-05 | 2018-12-05 | Interference source positioning method, device, equipment and computer storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111278040A true CN111278040A (en) | 2020-06-12 |
Family
ID=70999937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811480498.0A Pending CN111278040A (en) | 2018-12-05 | 2018-12-05 | Interference source positioning method, device, equipment and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111278040A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112566162A (en) * | 2020-12-04 | 2021-03-26 | 重庆玖舆博泓科技有限公司 | LTE interference source positioning method and device based on data mining and storage medium |
| CN112698267A (en) * | 2020-12-05 | 2021-04-23 | 扬州宇安电子科技有限公司 | Interference source test positioning method |
| CN112731286A (en) * | 2020-12-29 | 2021-04-30 | 浙江毅星科技有限公司 | Passive positioning method for WiFi interference source based on AP antenna array direction finding |
| CN113922897A (en) * | 2021-11-18 | 2022-01-11 | 国网湖南省电力有限公司 | Wireless interference source positioning method and positioning device |
| CN113923772A (en) * | 2021-10-19 | 2022-01-11 | 深圳市优必选科技股份有限公司 | Base station calibration method and device, computer equipment and storage medium |
| CN114374449A (en) * | 2021-12-29 | 2022-04-19 | 中国电信股份有限公司 | Interference source determination method, device, equipment and medium |
| CN115243193A (en) * | 2022-07-08 | 2022-10-25 | 中国联合网络通信集团有限公司 | Method and device for determining position of excited interference source and computer readable storage medium |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU94014735A (en) * | 1994-04-20 | 1997-05-10 | Оренбургское высшее зенитное ракетное командное училище | Device for identification of truthfulness of crossing point of bearings |
| CN102083090A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团北京有限公司 | Method and device for positioning interference source |
| 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 |
| CN103200608A (en) * | 2012-01-09 | 2013-07-10 | 中国移动通信集团浙江有限公司 | Method and device for interference matrix compensation based on measurement report |
| CN103686758A (en) * | 2012-09-21 | 2014-03-26 | 电信科学技术研究院 | A method and a system for determining the downward inclination angles of antennas |
| CN103906114A (en) * | 2012-12-28 | 2014-07-02 | 中国移动通信集团上海有限公司 | Method and device for handling cell disturbance |
| CN103974280A (en) * | 2013-02-05 | 2014-08-06 | 中兴通讯股份有限公司 | Uplink external interference detection method and device and uplink external interference source location method and device |
| CN104427532A (en) * | 2013-08-30 | 2015-03-18 | 中国移动通信集团北京有限公司 | Acquisition method and device for in-band interference of frequency point |
| CN104955090A (en) * | 2015-04-30 | 2015-09-30 | 上海大唐移动通信设备有限公司 | Cell interference determining method and device |
| CN106332271A (en) * | 2015-06-30 | 2017-01-11 | 中国移动通信集团公司 | Interference source location method and device |
| CN106597368A (en) * | 2016-12-13 | 2017-04-26 | 深圳大学 | Method and system for locating indoor interference source |
| CN106844757A (en) * | 2017-02-17 | 2017-06-13 | 山东浪潮商用系统有限公司 | A kind of antenna azimuth Outlier mining method |
| CN107466043A (en) * | 2016-06-03 | 2017-12-12 | 中国移动通信集团河北有限公司 | A kind of azimuthal method and apparatus for determining antenna for base station |
| CN107656242A (en) * | 2017-09-07 | 2018-02-02 | 深圳市景程信息科技有限公司 | Radio signal interference source plane space alignment system and method |
| US20180070362A1 (en) * | 2016-09-06 | 2018-03-08 | Spectrum Effect Inc. | Method and system for detecting interference to wireless networks |
| 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 |
| CN108260202A (en) * | 2016-12-27 | 2018-07-06 | 中国移动通信集团广东有限公司 | A kind of localization method and device of measurement report sampled point |
-
2018
- 2018-12-05 CN CN201811480498.0A patent/CN111278040A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU94014735A (en) * | 1994-04-20 | 1997-05-10 | Оренбургское высшее зенитное ракетное командное училище | Device for identification of truthfulness of crossing point of bearings |
| CN102083090A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团北京有限公司 | Method and device for positioning interference source |
| 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 |
| CN103200608A (en) * | 2012-01-09 | 2013-07-10 | 中国移动通信集团浙江有限公司 | Method and device for interference matrix compensation based on measurement report |
| CN103686758A (en) * | 2012-09-21 | 2014-03-26 | 电信科学技术研究院 | A method and a system for determining the downward inclination angles of antennas |
| CN103906114A (en) * | 2012-12-28 | 2014-07-02 | 中国移动通信集团上海有限公司 | Method and device for handling cell disturbance |
| CN103974280A (en) * | 2013-02-05 | 2014-08-06 | 中兴通讯股份有限公司 | Uplink external interference detection method and device and uplink external interference source location method and device |
| CN104427532A (en) * | 2013-08-30 | 2015-03-18 | 中国移动通信集团北京有限公司 | Acquisition method and device for in-band interference of frequency point |
| CN104955090A (en) * | 2015-04-30 | 2015-09-30 | 上海大唐移动通信设备有限公司 | Cell interference determining method and device |
| CN106332271A (en) * | 2015-06-30 | 2017-01-11 | 中国移动通信集团公司 | Interference source location method and device |
| CN107466043A (en) * | 2016-06-03 | 2017-12-12 | 中国移动通信集团河北有限公司 | A kind of azimuthal method and apparatus for determining antenna for base station |
| US20180070362A1 (en) * | 2016-09-06 | 2018-03-08 | Spectrum Effect Inc. | Method and system for detecting interference to wireless networks |
| CN106597368A (en) * | 2016-12-13 | 2017-04-26 | 深圳大学 | Method and system for locating indoor interference source |
| 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 |
| CN108260202A (en) * | 2016-12-27 | 2018-07-06 | 中国移动通信集团广东有限公司 | A kind of localization method and device of measurement report sampled point |
| CN106844757A (en) * | 2017-02-17 | 2017-06-13 | 山东浪潮商用系统有限公司 | A kind of antenna azimuth Outlier mining method |
| CN107656242A (en) * | 2017-09-07 | 2018-02-02 | 深圳市景程信息科技有限公司 | Radio signal interference source plane space alignment system and method |
Non-Patent Citations (1)
| Title |
|---|
| 王本才等: "被动传感器组网对干扰源的聚类定位算法", 《电光与控制》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112566162A (en) * | 2020-12-04 | 2021-03-26 | 重庆玖舆博泓科技有限公司 | LTE interference source positioning method and device based on data mining and storage medium |
| CN112566162B (en) * | 2020-12-04 | 2022-09-09 | 重庆玖舆博泓科技有限公司 | LTE interference source positioning method and device based on data mining and storage medium |
| CN112698267A (en) * | 2020-12-05 | 2021-04-23 | 扬州宇安电子科技有限公司 | Interference source test positioning method |
| CN112731286A (en) * | 2020-12-29 | 2021-04-30 | 浙江毅星科技有限公司 | Passive positioning method for WiFi interference source based on AP antenna array direction finding |
| CN112731286B (en) * | 2020-12-29 | 2023-01-06 | 浙江毅星科技有限公司 | Passive positioning method for WiFi interference source based on AP antenna array direction finding |
| CN113923772A (en) * | 2021-10-19 | 2022-01-11 | 深圳市优必选科技股份有限公司 | Base station calibration method and device, computer equipment and storage medium |
| CN113923772B (en) * | 2021-10-19 | 2023-09-08 | 深圳市优必选科技股份有限公司 | Base station calibration method and device, computer equipment and storage medium |
| CN113922897A (en) * | 2021-11-18 | 2022-01-11 | 国网湖南省电力有限公司 | Wireless interference source positioning method and positioning device |
| CN114374449A (en) * | 2021-12-29 | 2022-04-19 | 中国电信股份有限公司 | Interference source determination method, device, equipment and medium |
| CN115243193A (en) * | 2022-07-08 | 2022-10-25 | 中国联合网络通信集团有限公司 | Method and device for determining position of excited interference source and computer readable storage medium |
| CN115243193B (en) * | 2022-07-08 | 2024-04-16 | 中国联合网络通信集团有限公司 | Method and device for determining position of stimulated interference source and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111278040A (en) | Interference source positioning method, device, equipment and computer storage medium | |
| CN104853379B (en) | A kind of quality of wireless network appraisal procedure and device | |
| Han et al. | Access point localization using local signal strength gradient | |
| Zhou et al. | Practical conflict graphs for dynamic spectrum distribution | |
| Alsindi et al. | Analysis of time of arrival estimation using wideband measurements of indoor radio propagations | |
| CN114449649B (en) | Interference source positioning method and device based on MRO data | |
| Sapiezynski et al. | Opportunities and challenges in crowdsourced wardriving | |
| CN110691369B (en) | Indoor signal leakage analysis method and system based on MDT | |
| US10390180B1 (en) | Geolocation determination with power fingerprinting | |
| CN108243447B (en) | External interference positioning method and device | |
| Chen et al. | Providing spectrum information service using TV white space via distributed detection system | |
| Nguyen-Thanh et al. | Optimal truncated ordered sequential cooperative spectrum sensing in cognitive radio | |
| US20150257156A1 (en) | Dynamic radio frequency mapping | |
| JP2016170032A (en) | Wave source position selection device, wave source position calculation device, wave source position selection method, wave source position calculation method, and program | |
| Enami et al. | Pre-crowdsourcing: Predicting wireless propagation with phone-based channel quality measurements | |
| CN111294920B (en) | Method, device, equipment and medium for identifying interference in LTE network | |
| CN115379476B (en) | Method, device, equipment and storage medium for determining cell interference type | |
| US20150092574A1 (en) | Detecting the presence of rogue femtocells in enterprise networks | |
| CN111225408B (en) | Wireless environment monitoring method, device, equipment and storage medium based on SmallCell base station | |
| Wu et al. | DorFin: WiFi fingerprint-based localization revisited | |
| CN111246386B (en) | Terminal positioning method and device | |
| CN109996276B (en) | Network telephone traffic positioning evaluation method, device, equipment and medium | |
| CN107734525B (en) | LTE system RS balance determination method and device based on frequency sweep | |
| CN115379477B (en) | Method, device, equipment and storage medium for determining cell interference type | |
| CN111263382A (en) | Method, device and equipment for determining problem source cell causing overlapping coverage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200612 |
|
| RJ01 | Rejection of invention patent application after publication |