CN114449649A - Interference source positioning method and device based on MRO data - Google Patents

Interference source positioning method and device based on MRO data Download PDF

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CN114449649A
CN114449649A CN202011230110.9A CN202011230110A CN114449649A CN 114449649 A CN114449649 A CN 114449649A CN 202011230110 A CN202011230110 A CN 202011230110A CN 114449649 A CN114449649 A CN 114449649A
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sampling point
interference
determining
cell
preset
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CN114449649B (en
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田桂宾
张冬晨
魏爱玲
赵军凯
白国新
周鸿志
刘旭
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China Mobile Communications Group Co Ltd
China Mobile Group Design Institute Co Ltd
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China Mobile Group Design Institute Co Ltd
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    • 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
    • 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
    • H04B17/318—Received signal strength
    • H04B17/327—Received signal code power [RSCP]
    • 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
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the invention provides an interference source positioning method and device based on MRO data, wherein the method comprises the following steps: determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data; determining the position information of the sampling point according to the interference cell information, the adjacent cell information, the preset propagation model and the preset sampling point positioning model; and determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point. The device is used for executing the method. According to the interference source positioning method and device based on MRO data, provided by the invention, the interference intensity of the sampling point and the position information of the sampling point are accurately calculated, so that the interference source in an LTE system is accurately positioned.

Description

Interference source positioning method and device based on MRO data
Technical Field
The invention relates to the technical field of wireless communication, in particular to an interference source positioning method and device based on MRO data.
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.
At present, the interference source is mostly positioned and analyzed manually, and the method mainly comprises the following methods: firstly, analyzing key information of a downlink signal in a Mac layer to calculate the distance between a target user terminal and a base station; and secondly, calculating an estimated value of a system Signal to Interference plus Noise Ratio (SINR) based on the reference Signal received powers of the serving cell and the adjacent cell, comparing the estimated value with a true value of an uplink Signal to Interference plus Noise Ratio (SINR), and determining that an Interference source is outside the LTE system if the difference value between the estimated value and the true value is greater than or equal to a preset threshold value, otherwise determining that the Interference source is inside the LTE system.
The existing interference source positioning method has the following problems: the Mac layer analysis processing module is used for calculating the distance between the target user terminal and the base station according to the key information of the downlink signal, the positioning accuracy of the interference source is 78 meters, and the positioning accuracy is poor; when the uplink SINR is used to position the interference source, it is also impossible to accurately position the interference source because it can only be determined that the interference source is located inside or outside the LTE system.
Therefore, there is no effective method for accurately positioning the interference source in the LTE system.
Disclosure of Invention
The interference source positioning method and device based on MRO data provided by the embodiment of the invention are used for overcoming the defect of low interference source positioning precision in the prior art and realizing the accurate positioning of the interference source in an LTE system.
In a first aspect, an embodiment of the present invention provides an interference source positioning method based on MRO data, including:
determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
determining the position information of the sampling point according to the interference cell information, the neighboring cell information, a preset propagation model and a preset sampling point positioning model;
and determining the position of an interference source according to the interference strength of the sampling point and the position information of the sampling point.
Further, the determining interference cell information and neighbor cell information of the sampling point according to the MRO data of the original measurement report includes:
determining the information of the interference cell according to TimeStamp in the MRO data;
and determining the neighbor cell information according to the interference cell information of the same sampling point, the TimeStamp, the MmeUeSlap, the MR.LteScEarfcn and the MR.LteScPci in the MRO data.
Further, the determining the position information of the sampling point according to the interfering cell information, the neighboring cell information, the preset propagation model and the preset sampling point positioning model includes:
determining the radius of the adjacent cell and the radius of the interference cell according to the information of the interference cell, the information of the adjacent cell and a preset propagation model;
if a first preset condition is met, inputting the radius of the adjacent cell and the radius of the interference cell into a preset sampling point positioning model, and determining the position information of the sampling point;
and if the second preset condition is met, inputting the radius of the interference cell and the AOA in the MRO data of the TimeStamp in continuous preset quantity into a preset sampling point positioning model, and determining the position information of the sampling point.
Further, the determining a radius of a neighboring cell and a radius of an interfering cell according to the information of the interfering cell, the information of the neighboring cell, and a preset propagation model includes:
inputting downlink RSRP in the interference cell information into the preset propagation model, and determining the radius of the interference cell;
and inputting the downlink RSRP in the neighbor cell information into the preset propagation model, and determining the radius of the neighbor cell.
Further, if the neighboring cell information satisfies a first preset condition, inputting the neighboring cell radius and the interfering cell radius to the preset sampling point positioning model, and determining the position information of the sampling point includes:
and if the first preset condition is met, inputting the radius of the adjacent cell and the radius of the interference cell into the preset sampling point positioning model, and determining the position information of the sampling point according to a preset polling algorithm. Further, the first preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise a plurality of lines of data;
the second preset condition includes:
and after the MRO data are combined, the MRO data of the same sampling point comprise a row of data.
Further, the determining the position of the interference source according to the interference strength of the sampling point and the position information of the sampling point includes:
and performing descending order arrangement on the interference intensity of the sampling points, selecting the interference intensity of the sampling points with the preset number, and determining the position of the interference source by combining the position information of the sampling points.
In a second aspect, an embodiment of the present invention further provides an interference source positioning apparatus based on MRO data, including: the device comprises a determining module, a sampling point positioning module and an interference source positioning module;
the determining module is used for determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
the sampling point positioning module is used for determining the position information of the sampling point according to the interference cell information, the neighboring cell information, a preset propagation model and a preset sampling point positioning model;
and the interference source positioning module is used for determining the position of an interference source according to the interference strength of the sampling point and the position information of the sampling point.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the program, implements the steps of the method for locating an interference source based on MRO data according to any one of the above-mentioned embodiments.
Embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for locating an interference source based on MRO data as described in any one of the above.
According to the interference source positioning method and device based on the MRO data, provided by the embodiment of the invention, the position of an interference source is calculated based on MRO related data of an original measurement report, the MRO data are all user measurement results and are directly reported, base station side adjustment and a channel reciprocity algorithm do not exist, and the data are accurate and reliable; the path is calculated by adopting a method of performing link budget by using a preset propagation model, and the position of a sampling point is positioned by combining a preset sampling point positioning model, so that the calculation precision of positioning the position of the sampling point is ensured; based on the interference intensity distribution of the sampling points, the interference source in the LTE system is accurately positioned by combining the positions of the sampling points.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of an interference source positioning method based on MRO data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an interference source positioning apparatus based on MRO data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flowchart of an interference source positioning method based on MRO data according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
s1, determining interference cell information and adjacent cell information of the sampling point according to the MRO data of the original measurement report;
s2, determining the position information of the sampling points according to the interference cell information, the adjacent cell information, the preset propagation model and the preset sampling point positioning model;
and S3, determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point.
It should be noted that the execution subject of the method may be a computer device.
It should be noted that, compared with the road test, MRO data is directly reported by the UE or the ENodeB, so that the data volume is large and closely related to the user behavior, and is closer to the actual perception of the user; secondly, the MRO measurement report has a large number of outdoor environment test results and also contains indoor environment measurement results, so that compared with drive test data, the MRO measurement report has the advantages of being more comprehensive, more specific, easier to obtain and the like; in addition, the MRO measurement report contains a number of fields: indexes such as channel quality SINR, Angle Of Arrival (AOA) Of a user wireless Signal, TA, Reference Signal Receiving Power (RSRP) and the like in a wireless network channel can reflect the network quality more comprehensively. In addition, MRO data has the following characteristics: the first MRO sample data is extremely rich, and the eNodeB or UE measures samples according to the period: the sampling period is { ms120, ms240, ms480, ms640, ms1024, ms2048, ms5120, ms10240, min1, min6, min12, min30 and min60}, and a large amount of data can be sampled by starting the MR measurement function; the second MRO data accurately reflects the actual use condition of the user, and the MRO data is the embodiment of the actual use result of the user; the third MRO data enables full scene testing. Due to the characteristics of the MRO data, when users are distributed in indoor areas where a large number of drive tests cannot enter, such as office areas, residential home internal areas and other related places, the mobile phone terminal can also collect data. Therefore, the MRO data acquisition scene comprises all user distribution scenes, and data testing is carried out without negotiation with owners of relevant places. By utilizing the abundant characteristics of MRO data, the interference can be accurately calculated, the position of the interference source can be accurately positioned, and powerful support is provided for interference investigation.
Dividing the pre-planned base station and the current network station parameter information into eight types of scenes such as cities, counties and villages according to longitude and latitude, coverage type and other information according to preset scene classification rules, and storing the classified scenes, antenna height, antenna gain, direction angle, longitude and latitude, main service cell adjacent cell frequency points and PCI. And reading MRO original data, and extracting, storing and analyzing MR.LteRSRP, MR.LteRSRQ, Timestamp, MmeUeS1apId, MR.LteScEarfcn and MR.LteScPci in the data. Due to the richness of the MRO data, the main serving Cell of the sampling point can be obtained by analyzing the Physical Cell Identifier (PCI) of the main serving Cell according to the MRO number corresponding to the sampling time point, and the main serving Cell is used as an interference Cell.
When a plurality of adjacent areas exist around the interference cell of the sampling point, MRO data can be recorded in a row, and the adjacent areas of the sampling point can be determined according to the characteristic. Respectively determining interference cell information and neighbor cell information according to MRO data corresponding to the interference cell and the neighbor cell, and determining RSRP and RSRQ information of the interference cell and the neighbor cell in the following modes:
and analyzing the MR.LteRSRP and the MR.LteRSRQ to obtain corresponding RSRP and RSRQ. Mr.rsrp in MRO data is a representation of a series of intervals, one from-infinity to-120 dBm, corresponding to mr.rsrp.00; an interval is from-120 dBm to-115 dBm and corresponds to MR.RSRP.01; from-115 dBm to-80 dBm, every 1dB interval includes one mr.rsrp step, corresponding to mr.rsrp.02 to mr.rsrp.36; from-80 dBm to-60 dBm, every 2dB interval includes two mr.rsrp step sizes, corresponding to mr.rsrp.37 to mr.rsrp.46; and an interval of more than-60 dBm corresponds to MR.RSRP.47, and the like, and the MR.RSRP is calculated and analyzed into a specific numerical value through the formula (1).
RSRP＝MR.LteRSRP-140 (1)
RSRQ is expressed as mr.rsrq in MRO data, and is a representation of a series of intervals, such as one interval from-infinity to-19.5 dB, corresponding to mr.rsrq.00; from-19.5 to-3.5 dB, one interval every 1dB, corresponding to MR.RSRQ.01 to MR.RSRQ.16; and when the value is larger than an interval of-3.5 dB, corresponding to the MR.RSRQ.17, the MR.RSRQ is calculated and analyzed into a specific numerical value through a formula (2).
RSRQ＝MR.LteRSRQ/2-20.5 (2)
And calculating the interference strength of the sampling point according to the adjacent cell RSRP and the adjacent cell RSRQ in the obtained adjacent cell information by using a formula (3).
Figure BDA0002764911440000071
Wherein RS-interference represents the interference strength at the sampling point.
It should be noted that, according to the calculated interference strength of the sampling points, since RS-interference < -110dB does not have an obvious influence on the user, according to the interference cell calculation standard, such sampling points are not used as the interference analysis object. Therefore, interference data elimination is needed, RS-interference < -110dB data are eliminated, and the operation amount is reduced.
And inputting the RSRP and the RSRQ of the adjacent cells in the obtained adjacent cell information and the engineering parameters corresponding to the adjacent cells in the current network LTE into a preset propagation model and a preset sampling point positioning model, so as to obtain the position information of the sampling points. It should be noted that, in the embodiment of the present invention, a COST231 HATA propagation model is adopted as a preset propagation model, and a combined use based on an overlap positioning method and an AOA positioning method is adopted as a sampling point positioning model.
According to the interference source positioning method and device based on the MRO data, provided by the embodiment of the invention, the position of an interference source is calculated based on MRO related data of an original measurement report, the MRO data are all user measurement results and are directly reported, base station side adjustment and a channel reciprocity algorithm do not exist, and the data are accurate and reliable; the path is calculated by adopting a method of performing link budget by using a preset propagation model, and the position of a sampling point is positioned by combining a preset sampling point positioning model, so that the calculation precision of positioning the position of the sampling point is ensured; based on the interference intensity distribution of the sampling points, the accurate positioning of the interference source in the LTE system is realized by combining the positions of the sampling points.
Further, in an embodiment, the step S1 may specifically include:
s11, determining interference cell information according to the TimeStamp in the MRO data;
and S12, determining neighbor cell information according to the interference cell information of the same sampling point, TimeStamp, MmeUeSlap, MR.LteScEarfcn and MR.LteScPci in the MRO data.
Specifically, because the sampled neighbor cell information of MRO data of the same sampling point is different, the MRO data of the same sampling point are respectively listed in different sampled MRO data rows, but the TimeStamp identifier in the MRO data of the same sampling point is the same, so that it is possible to determine, according to the TimeStamp in the MRO data, that the MRO data in different rows belong to the same sampling point, and determine, by combining the MRO data corresponding to the interfering cell, the interfering cell information of the same sampling point.
Although MRO data of the same sampling point are respectively counted in different sampling data rows due to different sampled neighbor information, four identifiers of TimeStamp, MmeUeS1apId, MR. Therefore, according to the interference cell information of the same sampling point, the MRO data with the same TimeStamp, MmeUeS1apId, MR.
According to the interference source positioning method based on MRO data, provided by the embodiment of the invention, the adjacent cell information of the same sampling point is merged and then processed, so that the calculation amount of calculating the position information of the sampling point through the same adjacent cell information of the same sampling point is reduced, and the calculation complexity is reduced.
Further, in an embodiment, the step S2 may specifically include:
s21, determining the radius of the adjacent cell and the radius of the interference cell according to the information of the interference cell, the information of the adjacent cell and a preset propagation model;
specifically, according to the interfering cell information and the neighboring cell information determined in step S1, based on the interfering cell information, the neighboring cell information, and the preset propagation model COST231 HATA propagation model, the distance between the sampling point and the base station of the interfering cell (interfering cell radius) and the distance between the sampling point and the base station of the neighboring cell (neighboring cell radius) are determined.
S22, if the first preset condition is met, inputting the adjacent cell radius and the interference cell radius into a preset sampling point positioning model, and determining the position information of the sampling point;
specifically, it is first determined whether a first preset condition is satisfied, and if the first preset condition is satisfied, the neighboring cell radius and the interfering cell radius calculated in step S21 are input to a preset sampling point positioning model, so as to determine the position information of the sampling point. It should be noted that the preset sampling point positioning model provided in the embodiment of the present invention may be a positioning model based on an overlapping positioning method, where the overlapping positioning method has the following specific principle: when the UE receives a plurality of neighboring cell signals simultaneously, the distance from the sampling point to the base station is calculated according to step S21, the specific position is not determined due to the angle, and the position of the sampling point is preliminarily set to be a circle whose center is the distance from the base station as the radius, so that the corresponding distance is the radius, and the distance from the sampling point to the cell with the relevant cell as the center is calculated as the radius, so as to obtain the intersection point of the relevant radius.
For example, assume that the longitude and latitude coordinates of the sampling point are (x, y), and the longitude and latitude coordinates of the interfering cell of the sampling point are (x)1,y1) The longitude and latitude coordinates of each adjacent region of the sampling point are respectively (x)2,y2)、(x3,y3) And (x)4,y4) Radius of interference cell r1And the radius of each adjacent region is r2、r3And r4。
Figure BDA0002764911440000101
And (4) calculating and obtaining longitude and latitude information of the sampling point through a formula (4), and determining the position information of the sampling point according to the longitude and latitude information of the sampling point.
And S23, if the second preset condition is met, inputting the radius of the interference cell and the AOA in MRO data of the TimeStamp continuous preset number into a preset sampling point positioning model, and determining the position information of the sampling point.
Specifically, whether a second preset condition is met is judged, and if the second preset condition is met, the radius of the interference cell obtained by calculation in step S21 is input to a preset sampling point positioning model, so as to determine the position information of the sampling point. It should be noted that the preset sampling point positioning model provided in the embodiment of the present invention may be a positioning model based on an AOA positioning method, where the principle of the AOA positioning method specifically is as follows:
determining 3 continuous MRO data of TimeStamp, extracting AOA in the MRO data for comparison, if the AOA changes by less than 10 degrees and the radius of an interference cell is greater than 60 meters, judging that the direct path coverage is achieved, and calculating the longitude and latitude of a sampling point by a formula (5) to obtain:
Figure BDA0002764911440000102
wherein x represents the longitude of the sample point, y represents the latitude of the sample point, and AOA represents the angle of arrival;
if the AOA changes by more than 10 degrees and the radius of the interference cell is more than 60 meters, the refraction path is judged, and the longitude and latitude calculation formula (6) of the sampling point is as follows:
Figure BDA0002764911440000111
wherein AOA' represents the modified angle of arrival, AOA1Represents the first angle of arrival, AOA2Representing the second angle of arrival, AOA3Representing a third angle of arrival.
Further, in an embodiment, the step S21 may specifically include:
s211, inputting downlink RSRP in the interference cell information into a preset propagation model, and determining the radius of the interference cell;
s212, inputting the downlink RSRP in the neighbor cell information to a preset propagation model, and determining the radius of the neighbor cell.
Specifically, the RSRP and RSRQ in the interfering cell information, the engineering parameters of the interfering cell, the RSRP and RSRQ in the neighboring cell information, and the engineering parameters of the neighboring cell are input into a preset propagation model COST231 HATA, and the distances from the sampling point to the interfering cell base station and the sampling point to the neighboring cell base station are calculated according to formulas (7) to (11):
L＝46.3+33.9*log(f)-a(Hms)+(44.9-6.55*log(Hbs))*log(d)+Cm (7)
where L represents link loss, f represents operating frequency, Hbs represents base station side transmitting antenna height, Cm represents correction factor, usually the major city Cm is 3, the medium, suburban and rural areas Cm is 0, a (hms) represents distance correction factor, and d represents distance between a sampling point and the base station.
Dense urban areas:
a(Hms)＝2*(log(11.75*e19))*3.2-4.97 (8)
general urban, suburban and rural areas:
a(Hms)＝(1.1*log(f)-0.7)*hr-(1.56*log(f)-0.8) (9)
where hr represents the receive antenna height, typically hr ═ 1.5 meters;
according to the engineering parameters of the interference cell and the engineering parameters of the adjacent cell, the link loss between the sampling point and the base station can be obtained through a formula (10):
L＝EIRP+GR-Rs-RSRP (10)
wherein Rs represents the loss of the human body, generally Rs is 0, EIRP represents the equivalent omnidirectional radiation power, and can be calculated by equation (11), and represents the gain G of the receiving antennaR；
EIRP＝PRB+GT-εloss+10*log(RBG) (11)
Wherein, PRBRepresenting maximum transmit power per RB, usually PRB＝26.02dB，GTRepresenting the gain of the transmitting antenna, usually GT＝18dB，εlossRepresenting transmit antenna feed, tap and combiner losses, usually elossRBG stands for single user RBG configuration at 1dB, typically RBG 0.167.
By combining the formulas (7) to (11), the radius of the interference cell from the sampling point to the base station of the interference cell and the radius of the adjacent cell from the sampling point to the base station of the adjacent cell can be obtained.
It should be noted that the engineering parameters provided in the embodiment of the present invention at least include: antenna hang height, antenna gain, antenna azimuth and longitude and latitude.
Further, because the attenuation of the position where the user is located may be serious due to building shielding, a plurality of continuous sampling points can be calculated and averaged through multi-point combined correction.
Specifically, the method comprises the following steps: combining the records of TimeStamp, MmeUeS1apId, MR.LteScEarfcn and MR.LteScPci to obtain information of a plurality of sampling points with continuous time for the interference cell to communicate with the TimeStamp, calculating and obtaining the radius of each adjacent cell according to the formula (7) to the formula (11), averaging the radiuses of the continuous sampling points from the base station, and taking the average value as the radius of the adjacent cell. It should be noted that, in the embodiment of the present invention, 4 consecutive sampling points are taken, and the radius of the neighboring cell is calculated.
The interference source positioning method based on MRO data provided by the embodiment of the invention is used for calculating the current interference source, because the downlink RSRP, downlink RSRQ and AOA data are uniformly adopted for calculation, the related data are all the direct reports of user measurement results, and the base station side adjustment and the channel reciprocity algorithm do not exist, although the downlink transmitting power of the base station can also change along with the movement of the terminal, the RSRP and the RSRQ values reported according to the same place, the same user and the same time are uniquely determined, and the interference field intensity calculated according to the method is not changed due to the change of the RSRP transmitting power, so the reliability of the data source is higher; secondly, the method fully considers the difference between the paths passed by the wireless signals and the actual distances between the paths and the base stations when calculating the position information of the interference points, adopts a link budget method to calculate the paths, and can effectively ensure the calculation precision of the position of the positioning sampling point by combining the overlapping positioning and the AOA.
Further, in an embodiment, the first preset condition may specifically include: after the MRO data are combined, the MRO data of the same sampling point comprise a plurality of lines of data;
specifically, the MRO data is analyzed, the TimeStamp and the MmeUeS1apId are counted, and rows in the MRO of the sampling points corresponding to the mr.ltescearfcn and the mr.ltescpci in the MRO data are counted, and if the four parameters in different rows are consistent, the data is the data of one UE at the same time point, and only the neighboring relations are different. And if the data of the rows exist, the sampling points correspond to a plurality of adjacent areas, the same TimeStamp, MmeUeS1apId, MR.LtesSearfcn and MR.LtesScPci in the MRO data of the sampling points are merged, and the data are respectively recorded to the same row according to the size product of the MR.LtescNRSRP. And finding the cells corresponding to the MR.LtencNEarfcn and the MR.LtencNcPci from the engineering parameters and the neighbor Cell relation, and extracting an evolved universal mobile telecommunications system (E-UTRAN) Cell Global Identifier (ECGI) of the neighbor Cell. And establishing an interference neighbor cell table, and recording a neighbor cell corresponding to the interference cell, wherein at this time, the step S22 may be adopted to obtain the position information of the sampling point.
The second preset condition specifically includes: after the MRO data are combined, the MRO data of the same sampling point includes one line of data.
Specifically, the MRO data is analyzed, the TimeStamp, the MmeUeS1apId, and the rows in the MRO of the sampling points corresponding to the mr.ltescearfcn and the mr.ltescpci in the MRO data are counted, the same TimeStamp, MmeUeS1apId, the same mr.ltescearfcn, and the same mr.ltescpci are merged, and the merged MRO data of the same sampling point only includes one row of data, which indicates that the sampling point does not have a measured neighbor signal, and at this time, the step S23 may be adopted to obtain the position information of the sampling point.
The method for positioning the interference source based on the MRO data provided by the embodiment of the invention utilizes TimeStamp, MmeUeS1apId, MR.LteScEarfcn and MR.LteScPci in the MRO data of the sampling point to merge the sampling points and capture the adjacent cell signals of the same sampling point, so that the accurate positioning of the position information of the sampling point becomes possible through the subsequent combined calibration of overlapped positioning and AOA positioning.
Further, in an embodiment, step S22 may further specifically include:
s221, if the first preset condition is met, inputting the radius of the adjacent cell and the radius of the interference cell into a preset sampling point positioning model, and determining the position information of the sampling point according to a preset polling algorithm.
Specifically, the neighboring cell determined in step S22 is used as an interference cell, the original interference cell and other neighboring cells are used as neighboring cells, the radius of the interference cell and the radius of the neighboring cell are determined according to step S21, the position information of the sampling point is determined according to step S22 using the radius of the neighboring cell and the radius of the interference cell at this time, the neighboring cells determined in step S22 are used as interference cells, the original interference cell and the neighboring cells are used as neighboring cells, and the position information of the sampling point is calculated until all the neighboring cells determined in step S22 are used as interference cells.
Further, in one embodiment, step S3 includes:
s31, performing descending order arrangement on the interference intensity of the sampling points, selecting the interference intensity of the sampling points with the preset number, and determining the position of the interference source by combining the position information of the sampling points.
Specifically, the longitude and latitude information of the sampling points extracted in step S22 and the interference intensities of the sampling points are collected, the interference intensities of the sampling points are arranged in a descending order, the interference intensities of the first preset number of sampling points, for example, the first 200 sampling points, are extracted as interference points, the interference points are imported into an electronic map, for example, google earth, and a KML file is generated. And drawing an interference field intensity distribution layer of the sampling points according to the position distribution of the sampling points, and taking the region with the strongest interference field intensity of the sampling points as the position of the interference source.
According to the interference source positioning method based on MRO data, due to the fact that the steps are adopted for calculation, longitude and latitude information of the sampling point can be accurately calculated and processed, and position information of the sampling point is the strength of the interference source at the point. After conversion is carried out according to a large amount of sampling point information, accurate positioning of interference source position distribution can be achieved, the interference position can be determined quickly according to the interference source distribution, and interference troubleshooting efficiency is improved.
Fig. 2 is a schematic structural diagram of an interference source positioning apparatus based on MRO data according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes: a determination module 210, a sample point location module 220 and an interferer location module 230,
the determining module 210 is configured to determine interference cell information and neighbor cell information of a sampling point according to the MRO data of the original measurement report;
the sampling point positioning module 220 is configured to determine position information of a sampling point according to the interfering cell information, the neighboring cell information, the preset propagation model, and the preset sampling point positioning model;
the interference source positioning module 230 is configured to determine a position of an interference source according to the interference strength of the sampling point and the position information of the sampling point.
According to the interference source positioning method and device based on MRO data, interference cell information and adjacent cell information of sampling points are determined through the determining module 210, the position of an interference source is calculated by combining the sampling point positioning module 220 based on MRO related data of an original measurement report, MRO data are user measurement results and are directly reported, base station side adjustment and a channel reciprocity algorithm do not exist, and the data are accurate and reliable; the path is calculated by adopting a method of performing link budget by using a preset propagation model, and the position of a sampling point is positioned by combining a preset sampling point positioning model, so that the calculation precision of positioning the position of the sampling point is ensured; finally, the interference source positioning module 230 accurately positions the interference source in the LTE system based on the interference intensity distribution of the sampling points and the position information of the sampling points.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor (processor)310, a communication interface (communication interface)320, a memory (memory)330 and a bus (bus)340, wherein the processor 310, the communication interface 320 and the memory 330 are communicated with each other via the bus 340. The processor 310 may call logic instructions in the memory 330 to perform the following method:
determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
determining the position information of the sampling point according to the interference cell information, the adjacent cell information, the preset propagation model and the preset sampling point positioning model;
and determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Further, embodiments of the present invention disclose a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, the computer is capable of performing the methods provided by the above-mentioned method embodiments, for example, comprising:
determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
determining the position information of the sampling point according to the interference cell information, the adjacent cell information, the preset propagation model and the preset sampling point positioning model;
and determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes:
determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
determining the position information of the sampling point according to the interference cell information, the adjacent cell information, the preset propagation model and the preset sampling point positioning model;
and determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An interference source positioning method based on MRO data is characterized by comprising the following steps:
determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
determining the position information of the sampling point according to the interference cell information, the neighboring cell information, a preset propagation model and a preset sampling point positioning model;
and determining the position of an interference source according to the interference strength of the sampling point and the position information of the sampling point.
2. The method for positioning an interference source based on MRO data according to claim 1, wherein the determining interference cell information and neighbor cell information of a sampling point according to the original measurement report MRO data includes:
determining the information of the interference cell according to TimeStamp in the MRO data;
and determining the neighbor cell information according to the interference cell information of the same sampling point, the TimeStamp, the MmeUeSlap, the MR.LteScEarfcn and the MR.LteScPci in the MRO data.
3. The MRO data-based interference source positioning method according to claim 1, wherein the determining the position information of the sampling points according to the interfering cell information, the neighboring cell information, a preset propagation model and a preset sampling point positioning model includes:
determining the radius of the adjacent cell and the radius of the interference cell according to the information of the interference cell, the information of the adjacent cell and a preset propagation model;
if a first preset condition is met, inputting the radius of the adjacent cell and the radius of the interference cell into a preset sampling point positioning model, and determining the position information of the sampling point;
and if the second preset condition is met, inputting the radius of the interference cell and the AOA in the MRO data of the TimeStamp in continuous preset quantity into a preset sampling point positioning model, and determining the position information of the sampling point.
4. The method for positioning an interference source based on MRO data according to claim 3, wherein the determining a neighboring cell radius and an interfering cell radius according to the interfering cell information, the neighboring cell information, and a preset propagation model includes:
inputting downlink RSRP in the interference cell information into the preset propagation model, and determining the radius of the interference cell;
and inputting the downlink RSRP in the neighbor cell information into the preset propagation model, and determining the radius of the neighbor cell.
5. The method according to claim 3, wherein if the neighboring cell information satisfies a first preset condition, inputting the neighboring cell radius and the interfering cell radius into the preset sampling point positioning model to determine the position information of the sampling point, the method includes:
and if the first preset condition is met, inputting the radius of the adjacent cell and the radius of the interference cell into the preset sampling point positioning model, and determining the position information of the sampling point according to a preset polling algorithm.
6. The MRO data-based interferer positioning method of claim 5, wherein the first preset condition comprises:
after the MRO data are combined, the MRO data of the same sampling point comprise a plurality of lines of data;
the second preset condition includes:
and after the MRO data are combined, the MRO data of the same sampling point comprise a row of data.
7. The method for locating the interference source according to claim 1, wherein the determining the position of the interference source according to the interference intensity of the sampling point and the position information of the sampling point comprises:
and performing descending order arrangement on the interference intensity of the sampling points, selecting the interference intensity of the sampling points with the preset number, and determining the position of the interference source by combining the position information of the sampling points.
8. An interference source positioning device based on MRO data, comprising: the device comprises a determining module, a sampling point positioning module and an interference source positioning module;
the determining module is used for determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
the sampling point positioning module is used for determining the position information of the sampling point according to the interference cell information, the neighboring cell information, a preset propagation model and a preset sampling point positioning model;
and the interference source positioning module is used for determining the position of an interference source according to the interference strength of the sampling point and the position information of the sampling point.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of the method for MRO data based localization of interference sources according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for MRO data based interference source localization according to any one of claims 1 to 7.
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