CN114449649B - 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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CN114449649B
CN114449649B CN202011230110.9A CN202011230110A CN114449649B CN 114449649 B CN114449649 B CN 114449649B CN 202011230110 A CN202011230110 A CN 202011230110A CN 114449649 B CN114449649 B CN 114449649B
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sampling point
interference
determining
preset
information
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CN114449649A (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
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

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 the MRO data of the original measurement report; determining the position information of a sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a 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 the MRO data, the interference intensity of the sampling point and the position information of the sampling point are accurately calculated, so that the interference source in the LTE system is accurately positioned.

Description

Interference source positioning method and device based on MRO data
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for locating an interference source based on MRO data.
Background
For mobile communication networks, the precondition for ensuring the quality of service is to use a clean spectrum, i.e. the frequency band is not used or disturbed by other systems. Otherwise, the performance of the interfered system and the end user experience are all adversely affected.
At present, the interference source is mostly positioned and analyzed manually, and the method mainly comprises the following steps: firstly, analyzing and calculating the distance between a target user terminal and a base station on key information of a downlink signal in a Mac layer; and secondly, calculating an estimated value of a system signal and interference plus noise ratio based on reference signal receiving power of a serving cell and a neighboring cell, comparing the estimated value with a true value of an uplink signal and interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR), and if the difference value between the estimated value and the true value is larger than or equal to a preset threshold value, determining that an interference source is outside an LTE system, 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 utilized to locate the interference source, the interference source can only be determined to be located in the LTE system or outside the LTE system, and the interference source can not be accurately located.
Therefore, there is no effective method yet, and accurate positioning of the interference source in the LTE system can be achieved.
Disclosure of Invention
The interference source positioning method and device based on MRO data are used for overcoming the defect of low interference source positioning precision in the prior art and realizing accurate positioning of an 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 the MRO data of the original measurement report;
determining the position information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a 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.
Further, the determining the interference cell information and the neighbor cell information of the sampling point according to the original measurement report MRO data includes:
determining the interference cell information 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, mmeUeSlapId, the MR.LteScearfcn and the MR.LteScPci in the MRO data.
Further, the determining the location information of the sampling point according to the interference cell information, the neighboring cell information, a preset propagation model and a preset sampling point location model includes:
determining the adjacent cell radius and the interference cell radius according to the interference cell information, the adjacent cell information and a preset propagation model;
if the first preset condition is met, inputting the adjacent cell radius and the interference cell radius into the preset sampling point positioning model, and determining the position information of the sampling point;
and if the second preset condition is met, inputting the interference cell radius and the AOA in the continuous preset number of MRO data of the TimeStamp to a preset sampling point positioning model, and determining the position information of the sampling point.
Further, the determining the neighbor cell radius and the interfering cell radius according to the interfering cell information, the neighbor cell information and a preset propagation model includes:
inputting the downlink RSRP in the interference cell information to the preset propagation model, and determining the radius of the interference cell;
and inputting the downlink RSRP in the neighbor cell information to the preset propagation model, and determining the neighbor cell radius.
Further, if the neighbor cell information meets a first preset condition, inputting the neighbor 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 adjacent cell radius and the interference cell radius 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 rows of data;
the second preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise one row of data.
Further, 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 includes:
and arranging the interference intensities of the sampling points in a descending order, selecting the interference intensities of the sampling points of which the number is preset before, 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 device based on MRO data, including: the system 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 the sampling point according to the MRO data of the original measurement report;
the sampling point positioning module is used for determining the position information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a preset sampling point positioning model;
the interference source positioning module is used for 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 a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the MRO data-based interference source positioning methods described above when the processor executes the program.
The embodiments of the present invention also provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the MRO data based interferer localization method as described in any of the above.
According to the interference source positioning method and device based on the MRO data, the interference source position is calculated based on the MRO related data of the original measurement report, the MRO data are all reported by the user measurement result directly, the base station side adjustment and channel reciprocity algorithm are not available, and the data are accurate and reliable; calculating a path by adopting a method of carrying out link budget by adopting a preset propagation model, and positioning the sampling point position by combining a preset sampling point positioning model, so that the calculation accuracy of positioning the sampling point position 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.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart 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 device 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
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flow chart of an interference source positioning method based on MRO data according to an embodiment of the present invention, where, as shown in fig. 1, the method includes:
s1, determining interference cell information and neighbor cell information of a sampling point according to original measurement report MRO data;
s2, determining the position information of the sampling point according to the interference cell information, the neighbor cell information, the preset propagation model and the preset sampling point positioning model;
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 above method may be a computer device.
Compared with road test, MRO data is directly reported by UE or ENodeB, so that the data size is larger and closely related to user behavior, and is closer to actual perception of a user; secondly, the MRO measurement report has a large number of outdoor environment test results and also contains indoor environment test results, so that the MRO measurement report has the advantages of being more comprehensive, more specific, easier to obtain and the like compared with drive test data; in addition, the MRO measurement report contains a large number of fields: the indexes such as channel quality SINR, user radio signal Arrival Angle (AOA), TA, reference signal received power (Reference Signal Receiving Power, RSRP) in the wireless network channel can more comprehensively reflect the network quality. In addition, the MRO data has the following characteristics: the first MRO samples are extremely rich in data, and the eNodeB or UE samples according to periodic measurements: the sampling period is { ms120, ms240, ms480, ms640, ms1024, ms2048, ms5120, ms10240, min1, min6, min12, min30, min60}, and a large amount of data can be sampled by starting an 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 MRO data, the mobile phone terminal can also collect data when users are distributed in indoor areas which cannot be accessed by a large number of drive tests, such as office places, resident home areas and the like. Therefore, the MRO data acquisition scene comprises all user distribution scenes, and the data test is performed without negotiating with the relevant place owners. By utilizing the abundant characteristics of MRO data, the interference can be accurately calculated, the position of an interference source can be accurately positioned, and a powerful support is provided for interference investigation.
And dividing the preplanned base station and the current network station industrial parameter information into eight types of scenes such as cities, counties, villages and the like according to preset scene classification rules and information such as longitude and latitude, coverage types and the like, and storing the scenes after classification, antenna heights, antenna gains, direction angles, longitude and latitude, main service cell neighbor frequency points and PCI. The MRO original data are read, and MR.LteRSRP, MR.LteRSRQ, timeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci in the data are extracted, stored and analyzed. Because of the richness of the MRO data, the primary service cell of the sampling point can be obtained by analyzing the physical cell identification (Physical Cell Identifier, PCI) of the primary service cell according to the MRO number corresponding to the sampling time point, and the primary service cell is used as an interference cell.
When a plurality of adjacent cells exist around the interference cell of the sampling point, MRO data can be recorded in a line division mode, and according to the characteristic, the adjacent cells of the sampling point can be determined. And 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 manner:
mr.ltersrp and mr.ltersrq were analyzed to obtain the corresponding RSRP and RSRQ. MR.RSRP is a representation of a series of intervals in the MRO data, one interval from- +_infinity to-120 dBm, corresponding to MR.RSRP.00; from-120 dBm to-115 dBm is a section corresponding to MR.RSRP.01; from-115 dBm to-80 dBm, one interval per 1dB includes one MR.RSRP step, corresponding to MR.RSRP.02 to MR.RSRP.36; from-80 dBm to-60 dBm, one interval every 2dB, including two MR.RSRP step sizes, corresponding to MR.RSRP.37 to MR.RSRP.46; an interval greater than-60 dBm corresponds to mr.rsrp.47, and so on, mr.rsrp is calculated and resolved to a specific value by equation (1).
RSRP＝MR.LteRSRP-140 (1)
RSRQ is represented in MRO data as mr.rsrq, which is a representation of a series of intervals, e.g., from- ≡to-19.5 dB for one interval, corresponding to mr.rsrq.00; from-19.5 to-3.5 dB, one interval per 1dB, corresponding to mr. Rsrq.01 to mr. Rsrq.16; an interval greater than-3.5 dB, corresponding to mr.rsrq.17, the mr.rsrq is calculated and resolved to a specific value by equation (2).
RSRQ＝MR.LteRSRQ/2-20.5 (2)
And calculating according to the neighbor RSRP and the neighbor RSRQ in the obtained neighbor information by using a formula (3) to obtain the interference intensity of the sampling point.
Wherein the RS-interference represents the interference strength of the sample point.
It should be noted that, according to the calculated interference intensity of the sampling points, since the RS-interference < -110dB does not have a significant influence on the user, according to the interference cell calculation standard, such sampling points are not used as interference analysis objects. Therefore, interference data is required to be removed, RS-interference < -110dB data is removed, and the operand is reduced.
And inputting the neighbor RSRP, the neighbor RSRQ and the engineering parameters corresponding to the neighbor in the current network LTE into a preset propagation model and a preset sampling point positioning model in the obtained neighbor information, so that the position information of the sampling point can be obtained. It should be noted that, in the embodiment of the present invention, a COST231 HATA propagation model is used as a preset propagation model, and a joint use based on an overlapping positioning method and an AOA positioning method is used as a sampling point positioning model.
According to the interference source positioning method and device based on the MRO data, the interference source position is calculated based on the MRO related data of the original measurement report, the MRO data are all reported by the user measurement result directly, the base station side adjustment and channel reciprocity algorithm are not available, and the data are accurate and reliable; calculating a path by adopting a method of carrying out link budget by adopting a preset propagation model, and positioning the sampling point position by combining a preset sampling point positioning model, so that the calculation accuracy of positioning the sampling point position 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 one embodiment, step S1 may specifically include:
s11, determining interference cell information according to TimeStamp in MRO data;
s12, determining neighbor cell information according to the interference cell information of the same sampling point, timeStamp, mmeUeSlapId in the MRO data, MR.LteScearfcn and MR.LteScPci.
Specifically, the MRO data of the same sampling point are respectively listed in different sampling MRO data rows due to different sampled neighbor cell information, but the TimeStamp identifiers in the MRO data of the same sampling point are the same, so that the interference cells of the same sampling point can be determined according to the TimeStamp in the MRO data, wherein the MRO data of different rows belong to the interference cells of the same sampling point, and the interference cell information of the same sampling point is determined by combining the MRO data corresponding to the interference cells.
Although the MRO data of the same sampling point are respectively listed in different sampling data lines due to different sampling neighbor information, four identifiers of TimeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci are completely consistent. Therefore, according to the interference cell information of the same sampling point, the MRO data of TimeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci with the same identification and different rows are combined to extract the neighbor cell information of the same sampling point.
According to the interference source positioning method based on the MRO data, the adjacent cell information of the same sampling point is combined 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 one embodiment, 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 interference cell information and the neighbor cell information determined in step S1, a distance between the sampling point and the base station of the interference cell (interference cell radius) and a distance between the sampling point and the base station of the neighbor cell (neighbor cell radius) are determined based on the interference cell information, the neighbor cell information and a preset propagation model COST231 HATA propagation model.
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, firstly, whether a first preset condition is satisfied is determined, if the first preset condition is satisfied, the neighbor cell radius and the interference cell radius obtained by calculation in the 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 by the embodiment of the present invention may be a positioning model based on an overlapping positioning method, where the specific principle of the overlapping positioning method is as follows: when the UE receives a plurality of neighbor cell signals at the same time, the distance from the sampling point to the base station is obtained according to the calculation in step S21, and the specific position is that the position of the sampling point is initially set to be a circle with the base station as the center distance as the radius, so that the corresponding distance is calculated with the distance from the sampling point to the cell as the center of the circle of the relevant cell as the radius, the relevant radius intersection point is obtained, and the average value of all the intersection points is obtained due to the existence of a plurality of intersection points, so that the position information of the sampling point is obtained.
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 ,y 1 ) The longitude and latitude coordinates of each neighboring area of the sampling point are (x) 2 ,y 2 )、(x 3 ,y 3 ) And (x) 4 ,y 4 ) The radius of the interference cell is r 1 The radius of each adjacent region is r 2 、r 3 R 4 。
And (3) calculating to obtain longitude and latitude information of the sampling point through the formula (4), and determining the position information of the sampling point according to the longitude and latitude information of the sampling point.
S23, if the second preset condition is met, inputting the AOA in the MRO data of the continuous preset number of the interference cell radius and the TimeStamp to a preset sampling point positioning model, and determining the position information of the sampling point.
Specifically, whether a second preset condition is satisfied is determined, and if the second preset condition is satisfied, the interference cell radius 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 by 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 includes:
determining 3 continuous MRO data of the TimeStamp, extracting AOA in the MRO data for comparison, judging that the direct path is covered if the AOA change is smaller than 10 degrees and the interference cell radius is larger than 60 meters, and calculating the longitude and latitude of a sampling point through a formula (5):
wherein x represents longitude of the sampling point, y represents latitude of the sampling point, and AOA represents angle of arrival;
if the AOA change is greater than 10 degrees and the interference cell radius is greater than 60 meters, judging a refraction path, and calculating the longitude and latitude of the sampling point by a formula (6) as follows:
wherein AOA' represents the corrected angle of arrival, AOA 1 Representing the first angle of arrival and,AOA 2 representing the second angle of arrival, AOA 3 Representing a third angle of arrival.
Further, in one embodiment, step S21 may specifically include:
s211, inputting the 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 into a preset propagation model, and determining the neighbor cell radius.
Specifically, the RSRP, the RSRQ in the interference cell information, the engineering parameters of the interference cell, the RSRP, the RSRQ in the neighbor cell information and the engineering parameters of the neighbor cell are input into a preset propagation model COST231 HATA, and the distances from the sampling point to the interference cell base station and the sampling point to the neighbor cell base station are calculated and obtained according to the 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 transmit antenna height, cm represents a correction factor, typically metropolitan cm=3, medium city, suburban and rural cm=0, a (Hms) represents a distance correction factor, and d represents the distance between the sampling point and the base station.
Dense urban areas:
a(Hms)＝2*(log(11.75*e 19 ))*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 calculated 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+G R -Rs-RSRP (10)
wherein Rs represents human loss, rs=0, EIRP represents equivalent omni-directional radiation power, and can be obtained by calculation in formula (11), and represents receiving antenna gain G R ；
EIRP＝P RB +G T -ε loss +10*log(RBG) (11)
Wherein P is RB Represents maximum transmit power per RB, typically P RB ＝26.02dB，G T Representing the transmit antenna gain, generally G T ＝18dB，ε loss Representing the losses of the transmitting antenna feed, joint and combiner, generally epsilon loss =1db, RBG stands for single-user RBG configuration, typically rbg=0.167.
By the simultaneous formulas (7) to (11), the interfering cell radius from the sampling point to the base station of the interfering cell and the neighbor cell radius from the sampling point to the base station of the neighbor 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 up, antenna gain, antenna azimuth and longitude and latitude.
Furthermore, because the position where the user is located may be seriously attenuated due to building shielding, a plurality of continuous sampling points can be calculated through multi-point joint correction, and an average value is obtained.
Specifically: combining TimeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci records, a plurality of sampling point information of the interference cell communication TimeStamp time continuity can be obtained, each neighbor cell radius is obtained through calculation according to the formulas (7) to (11), the radius of the continuous plurality of sampling points from the base station is averaged, and the average value is used as the neighbor cell radius. In the embodiment of the invention, 4 continuous sampling points are taken to calculate the radius of the neighbor cell.
According to the interference source positioning method based on MRO data, calculation is performed on the current interference source, downlink RSRP, downlink RSRQ and AOA data are uniformly adopted for calculation, related data are all directly reported by a user measurement result, base station side adjustment and channel reciprocity algorithm do not exist, although the downlink transmission power of a base station can be changed along with the movement of a terminal, the RSRP and the RSRQ values reported by the same location, the same user and the same time are uniquely determined, the calculated interference field intensity is not changed due to the change of the RSRP transmission power, and therefore the reliability of data sources is higher; secondly, when the scheme calculates the position information of the interference points, the situation that the number of the transmitted signals of urban buildings is large is fully considered, the paths of the wireless signals and the actual distances between the wireless signals and the base station are greatly different, the paths are calculated by adopting a link budget method, and the calculation accuracy of the positioning sampling points can be effectively ensured by combining the overlapping positioning and the AOA.
Further, in one 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 rows of data;
specifically, the MRO data is analyzed, the TimeStamp, mmeUeS apId and the row statistics in the MRO of the mr.ltesceafcn and mr.ltesceppci corresponding to the sampling points in the MRO data are performed, and if the four parameters of different rows are consistent, the data of one UE at the same time point are only different in neighbor relation. The fact that the sampling point corresponds to a plurality of adjacent cells is indicated by a plurality of lines of data, the same TimeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci in the MRO data of the sampling point are combined, and the same line is recorded according to the size of MR.LteNcRSRP respectively. And finding out the cells corresponding to the MR.LteNcEarfcn and the MR.LteNcPci from engineering parameters and neighbor relation, and extracting the evolution-universal mobile communication system land radio access network cell global identifier (E-UTRAN Cell Global Identifier, ECGI) of the neighbor cell. And establishing an interference neighbor cell table, and recording neighbor cells corresponding to the interference cells, wherein the step S22 can be adopted to acquire the position information of the sampling points.
The second preset condition specifically includes: after the MRO data are combined, the MRO data of the same sampling point comprise one row of data.
Specifically, the MRO data is analyzed, the TimeStamp, mmeUeS apId and the mr.ltesceafcn and mr.ltesceppci in the MRO data are counted corresponding to the rows in the MRO of the sampling points, and the same TimeStamp, mmeUeS apId, mr.ltesceafcn and mr.ltesceppci are combined, and the combined MRO data of the same sampling point only includes one row of data, which indicates that the sampling point does not measure the neighbor signal, at this time, the position information of the sampling point may be obtained in step S23.
According to the interference source positioning method based on the MRO data, timeStamp, mmeUeS apId, MR.LteScearfcn and MR.LteScPci in the MRO data of the sampling points are utilized for sampling point combination, neighbor signals of the same sampling point are captured, and therefore accurate positioning of sampling point position information becomes possible through overlapping positioning and AOA positioning combined calibration fine positioning.
Further, in an embodiment, step S22 may further specifically include:
s221, if the first preset condition is met, the adjacent cell radius and the interference cell radius are input into a preset sampling point positioning model, and the position information of the sampling point is determined according to a preset polling algorithm.
Specifically, the neighbor cell determined in step S22 is used as an interference cell, the original interference cell and other neighbor cells are used as neighbor cells, the radius of the interference cell and the radius of the neighbor cell are determined according to step S21, the position information of the sampling point is determined according to step S22, the neighbor cells determined in step S22 are used as interference cells in sequence, the original interference cell and the neighbor cells are used as neighbor cells, and the position information of the sampling point is calculated until all the neighbor cells determined in step S22 are used as interference cells.
Further, in one embodiment, step S3 includes:
s31, the interference intensities of the sampling points are arranged in a descending order, the interference intensities of the sampling points with the preset number are selected, and the position of the interference source is determined by combining the position information of the sampling points.
Specifically, the latitude and longitude information of the sampling points extracted in step S22 and the interference intensities of the sampling points are summarized, 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, and the interference points are imported into an electronic map, for example, google earth, to generate KML files. And drawing an interference field intensity distribution map layer of the sampling point according to the position distribution of the sampling point, and taking the area with the strongest interference field intensity of the sampling point as an interference source position.
According to the interference source positioning method based on the MRO data, the longitude and latitude information of the sampling point can be accurately calculated and processed by adopting the steps to calculate, and the position information of the sampling point is the intensity of the interference source at the point. After conversion is carried out according to a large amount of sampling point information, accurate positioning of the position distribution of the interference source can be achieved, so that the interference position can be rapidly determined according to the interference source distribution, and interference checking efficiency is improved.
Fig. 2 is a schematic structural diagram of an interference source positioning device based on MRO data according to an embodiment of the present invention, where, as shown in fig. 2, the device includes: a determination module 210, a sampling 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 the sampling point according to the original measurement report MRO data;
the sampling point positioning module 220 is configured to determine location information of a sampling point according to the interference 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 the interference source according to the interference intensity of the sampling point and the position information of the sampling point.
According to the interference source positioning method and device based on the MRO data, the interference cell information and the adjacent cell information of the sampling points are determined through the determining module 210, the interference source position is calculated based on the MRO related data of the original measurement report by combining the sampling point positioning module 220, the MRO data are all reported by the user measurement results directly, the base station side adjustment and the channel reciprocity algorithm are not available, and the data are accurate and reliable; calculating a path by adopting a method of carrying out link budget by adopting a preset propagation model, and positioning the sampling point position by combining a preset sampling point positioning model, so that the calculation accuracy of positioning the sampling point position is ensured; finally, the interference source positioning module 230 is used for accurately positioning 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 physical structure diagram of an electronic device according to an embodiment of the present invention, where, as shown in fig. 3, the electronic device may include: processor 310, communication interface (communication interface) 320, memory (memory) 330 and bus (bus) 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through 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 the MRO data of the original measurement report;
determining the position information of a sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a 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.
Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
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, enable the computer to perform the methods provided by the above-described method embodiments, for example comprising:
determining interference cell information and neighbor cell information of a sampling point according to the MRO data of the original measurement report;
determining the position information of a sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a 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, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the transmission method provided in the above embodiments, for example, including:
determining interference cell information and neighbor cell information of a sampling point according to the MRO data of the original measurement report;
determining the position information of a sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a 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 apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (6)

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 the MRO data of the original measurement report;
determining the position information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a preset sampling point positioning model;
determining the position of an interference source according to the interference intensity of the sampling point and the position information of the sampling point;
the determining the interference cell information and the neighbor cell information of the sampling point according to the original measurement report MRO data comprises the following steps:
determining the interference cell information according to TimeStamp in the MRO data;
determining the neighbor cell information according to the interference cell information of the same sampling point, the TimeStamp, mmeUeSlapId, the MR.LteScearfcn and the MR.LteScPci in the MRO data;
the determining the location information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a preset sampling point location model includes:
determining the adjacent cell radius and the interference cell radius according to the interference cell information, the adjacent cell information and a preset propagation model;
if the first preset condition is met, inputting the adjacent cell radius and the interference cell radius into the preset sampling point positioning model, and determining the position information of the sampling point;
if the second preset condition is met, inputting the interference cell radius and the AOA in the continuous preset number of MRO data of the TimeStamp to a preset sampling point positioning model, and determining the position information of the sampling point;
wherein the first preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise a plurality of rows of data;
the second preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise one row of data;
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 includes:
and arranging the interference intensities of the sampling points in a descending order, selecting the interference intensities of the sampling points of which the number is preset before, and determining the position of the interference source by combining the position information of the sampling points.
2. The MRO data-based interference source positioning method according to claim 1, wherein 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 the downlink RSRP in the interference cell information to the preset propagation model, and determining the radius of the interference cell;
and inputting the downlink RSRP in the neighbor cell information to the preset propagation model, and determining the neighbor cell radius.
3. The MRO data-based interference source positioning method according to claim 2, 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, and determining the location information of the sampling point includes:
and if the first preset condition is met, inputting the adjacent cell radius and the interference cell radius into the preset sampling point positioning model, and determining the position information of the sampling point according to a preset polling algorithm.
4. An interference source positioning device based on MRO data, comprising: the system 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 the sampling point according to the MRO data of the original measurement report;
the sampling point positioning module is used for determining the position information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a preset sampling point positioning model;
the interference source positioning module is used for determining the position of an interference source according to the interference intensity of the sampling point and the position information of the sampling point;
the determining the interference cell information and the neighbor cell information of the sampling point according to the original measurement report MRO data comprises the following steps:
determining the interference cell information according to TimeStamp in the MRO data;
determining the neighbor cell information according to the interference cell information of the same sampling point, the TimeStamp, mmeUeSlapId, the MR.LteScearfcn and the MR.LteScPci in the MRO data;
the determining the location information of the sampling point according to the interference cell information, the neighbor cell information, a preset propagation model and a preset sampling point location model includes:
determining the adjacent cell radius and the interference cell radius according to the interference cell information, the adjacent cell information and a preset propagation model;
if the first preset condition is met, inputting the adjacent cell radius and the interference cell radius into the preset sampling point positioning model, and determining the position information of the sampling point;
if the second preset condition is met, inputting the AOA in the MRO data of the continuous preset number of the interference cell radius and the TimeStamp to a preset sampling point positioning model, and determining the position information of the sampling point;
wherein the first preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise a plurality of rows of data;
the second preset condition includes:
after the MRO data are combined, the MRO data of the same sampling point comprise one row of data;
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 includes:
and arranging the interference intensities of the sampling points in a descending order, selecting the interference intensities of the sampling points of which the number is preset before, and determining the position of the interference source by combining the position information of the sampling points.
5. 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 implements the steps of the MRO data based interferer localization method according to any of claims 1-3 when said program is executed by said processor.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the steps of the MRO data based interferer localization method according to any of claims 1 to 3.
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