CN110225536B - Method and device for determining external interference source - Google Patents

Method and device for determining external interference source Download PDF

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CN110225536B
CN110225536B CN201910495680.1A CN201910495680A CN110225536B CN 110225536 B CN110225536 B CN 110225536B CN 201910495680 A CN201910495680 A CN 201910495680A CN 110225536 B CN110225536 B CN 110225536B
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sampling point
determining
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rsrp measurement
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CN110225536A (en
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张进
全诗文
周奕昕
冷俊
于洋
杨福理
宋峻
吴非帆
虞茜
陈建荣
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • 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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Abstract

The embodiment of the invention provides a method and equipment for determining an external interference source, wherein the method obtains a first RSRP (reference signal received power) measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point through a measurement report, and performs the following operations on each sampling point respectively: if the target main cell corresponding to the target sampling point is determined to be an abnormal main cell through the first RSRP measured value, the number of abnormal adjacent cells in each adjacent cell corresponding to the target sampling point is determined through the second RSRP measured value, if the number of the abnormal adjacent cells is larger than a first preset threshold value, the target sampling point is determined to be a suspicious point, wherein the target sampling point is any one of the sampling points, and if the ratio of the number of the suspicious point in the area to be detected to the number of all the sampling points is larger than a second preset threshold value, the fact that an external interference source exists in the area to be detected is determined.

Description

Method and device for determining external interference source
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a method and equipment for determining an external interference source.
Background
With the rapid development of Long Term Evolution (LTE for short) networks and internet products, intelligent terminals have become one of the necessities of people's life. In order to improve the signal quality of the intelligent terminal, part of users select the repeater with low private purchase price and poor quality to amplify the signal. However, the repeater is used as an external interference source, and simultaneously, the base noise of the base station is high, which affects the user experience. Therefore, the external interference source needs to be checked and the position of the external interference source is determined.
At present, the existing method for troubleshooting external interference sources generally determines a possible area of the external interference source through Key Performance Indicators (KPIs) of network devices, and then performs manual troubleshooting by using a frequency scanner.
However, the inventor finds that the method has low investigation efficiency due to the large investigation range.
Disclosure of Invention
The invention provides a method and equipment for determining an external interference source, which can reduce the investigation range of the external interference source and improve the investigation efficiency.
In a first aspect, the present invention provides a method for determining an external interference source, including:
acquiring a measurement report of a region to be measured, and acquiring a first Reference Signal Received Power (RSRP) measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point according to the measurement report;
the following operations are respectively carried out on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal adjacent cells exist in the adjacent cells corresponding to the target sampling point, acquiring the number of the abnormal adjacent cells; if the number of the abnormal neighbor cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point;
and if the ratio of the number of the suspicious points in the area to be detected to the number of all the sampling points is greater than a second preset threshold value, determining that an external interference source exists in the area to be detected.
In a possible implementation manner, the determining, according to a first RSRP measurement value of a target primary cell corresponding to a target sampling point, whether the target primary cell is an abnormal primary cell includes:
determining a first correlated sampling point correlated with the target main cell in each sampling point, wherein the first correlated sampling point refers to a sampling point which takes the target main cell as a main cell or an adjacent cell in each sampling point;
acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining the average value and the standard deviation of all the first target RSRP measurement values;
and if the difference between the first RSRP measurement value of the target main cell corresponding to the target sampling point and the average value of all the first target RSRP measurement values is greater than or equal to a third preset threshold value, and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
In a possible implementation manner, the determining, according to a first RSRP measurement value of a target primary cell corresponding to a target sampling point, whether the target primary cell is an abnormal primary cell includes:
determining a first correlated sampling point correlated with the target main cell in each sampling point, wherein the first correlated sampling point refers to a sampling point which takes the target main cell as a main cell or an adjacent cell in each sampling point;
acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining standard deviations of all the first target RSRP measurement values;
determining a first power of a target main cell corresponding to the target sampling point according to a first theoretical path loss of the target main cell corresponding to the target sampling point;
and if the first RSRP measurement value of the target main cell corresponding to the target sampling point is greater than or equal to the first power and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
In a possible implementation manner, the determining, according to a first theoretical path loss of a target primary cell corresponding to a target sampling point, a first power of the target primary cell corresponding to the target sampling point includes:
determining a first distance between the target sampling point and the target main cell, and determining a first theoretical path loss P of the target main cell corresponding to the target sampling point according to the first distance and a propagation modelloss1；
According to the expression P1＝PRS-Ploss1Determining a first power P of a target primary cell corresponding to a target sampling point1；
Wherein, PRSIs the downlink RS power.
In a possible implementation manner, the determining, according to the second RSRP measurement value of each neighboring cell corresponding to the target sampling point, whether an abnormal neighboring cell exists in each neighboring cell includes:
determining a second related sampling point related to a target adjacent cell in each sampling point, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second related sampling point is a sampling point of each sampling point, which takes the target adjacent cell as a main cell or an adjacent cell;
acquiring second target RSRP measurement values of target neighbor cells corresponding to the second relevant sampling points according to the measurement report, and determining the average value and the standard deviation of all the second target RSRP measurement values;
if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is larger than or equal to a third preset threshold value, and the standard deviation of all the second target RSRP measurement values is larger than or equal to a fourth preset threshold value, determining that the target adjacent cell is an abnormal adjacent cell, selecting a new adjacent cell from all adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in all the sampling points;
and if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is smaller than the third preset threshold value, or the standard deviation of all the target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
In a possible implementation manner, the determining, according to the second RSRP measurement value of each neighboring cell corresponding to the target sampling point, whether an abnormal neighboring cell exists in each neighboring cell includes:
determining a second related sampling point related to a target adjacent cell in each sampling point, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second related sampling point is a sampling point of each sampling point, which takes the target adjacent cell as a main cell or an adjacent cell;
acquiring second target RSRP measurement values of target adjacent cells corresponding to the second relevant sampling points according to the measurement report, and determining standard deviations of all the second target RSRP measurement values;
determining a second power of the target adjacent cell corresponding to the target sampling point according to a second theoretical path loss of the target adjacent cell corresponding to the target sampling point;
if the second RSRP measurement values of the target adjacent cells corresponding to the target sampling point are greater than or equal to the second power, and the standard deviation of all the second target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target adjacent cells are abnormal adjacent cells, selecting a new adjacent cell from the adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in the sampling points;
and if the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point is smaller than the second power, or the standard deviation of all the second target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
In a possible implementation manner, the determining, according to a second theoretical path loss of the target neighboring cell corresponding to the target sampling point, a second power of the target neighboring cell corresponding to the target sampling point includes:
determining a second distance between the target sampling point and the target adjacent cell, and determining a second theoretical path loss P of the target adjacent cell corresponding to the target sampling point according to the second distance and a propagation modelloss2；
According to the expression P2＝PRS-Ploss2Determining a second power P of the target neighbor cell corresponding to the target sampling point2；
Wherein, PRSIs the downlink RS power.
In a possible implementation manner, if a ratio of the number of suspicious points in the region to be tested to the number of all sampling points is greater than a second preset threshold, after it is determined that an external interference source exists in the region to be tested, the method further includes:
and acquiring the position information of the area to be measured according to the measurement report, and sending the position information to a terminal.
In a possible implementation manner, after determining that the target sampling point is a suspicious point if the number of the abnormal neighboring cells is greater than a first preset threshold, the method further includes:
and determining the doubtful degree of the area to be tested according to the ratio of the number of the doubtful points in the area to be tested to the number of all the sampling points, and sending the doubtful degree to the terminal.
In a possible implementation manner, before the obtaining, according to the measurement report, a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each neighboring cell corresponding to each sampling point, the method further includes:
and cleaning data of the measurement report of the area to be measured.
In a second aspect, an embodiment of the present invention provides an apparatus for determining an external interference source, including:
the acquisition module is used for acquiring a measurement report of the area to be measured, and acquiring a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point according to the measurement report;
the judging module is used for respectively carrying out the following operations on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal neighbor cells exist in all the neighbor cells corresponding to the target sampling point, acquiring the number of the abnormal neighbor cells; if the number of the abnormal neighbor cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point;
and the determining module is used for determining that an external interference source exists in the area to be detected if the ratio of the number of the suspicious points in the area to be detected to the number of all sampling points is greater than a second preset threshold value.
In a third aspect, an embodiment of the present invention provides an external interference source determining device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method for determining an external interference source according to the first aspect of the embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer executes instructions, and when a processor executes the computer to execute the instructions, the method for determining an external interference source according to the first aspect of the embodiment of the present invention is implemented.
In the method, a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each neighboring cell corresponding to each sampling point are obtained through a measurement report, and the following operations are respectively performed on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point, if the target main cell is the abnormal main cell, judging whether abnormal adjacent cells exist in the adjacent cells or not according to second RSRP measurement values of the adjacent cells corresponding to the target sampling point, if the abnormal adjacent cells exist in the adjacent cells corresponding to the target sampling point, acquiring the number of the abnormal adjacent cells, and when the number of the abnormal adjacent cells is larger than a first preset threshold value, determining that the target sampling point is a suspicious point. And when the ratio of the number of the suspicious points in the area to be detected to the number of all the sampling points is greater than a second preset threshold value, determining that an external interference source exists in the area to be detected. The embodiment of the invention reduces the investigation range of the external interference source to the region to be examined by judging whether the region to be examined has the external interference source, and only the region to be examined with the external interference source is required to be investigated, thereby improving the investigation efficiency.
Drawings
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 only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 2 is a second flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 4 is a fourth flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 5 is a flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 6 is a sixth flowchart of a method for determining an external interference source according to an embodiment of the present invention;
fig. 7 is a first schematic structural diagram of an apparatus for determining an external interference source according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a second apparatus for determining an external interference source according to an embodiment of the present invention;
fig. 9 is a schematic hardware structure diagram of an external interference source determination device according to an embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In an LTE network, common interference of a base station is divided into system internal interference and system external interference, the system internal interference is usually caused by base station planning, unreasonable parameter setting and irregular engineering installation, and the system external interference is caused by some co-existing or co-located inter-frequency system mutual interference, repeaters, industrial electromechanical equipment, signal lamps, radio station equipment, shielding equipment and the like. The transmission power of the base station is generally much larger than the power of the external interference source, so the external interference generally does not cause interference to the downlink, but affects the normal operation of the uplink of the base station, and therefore, the troubleshooting of the external interference source becomes an important problem in network optimization and operation and maintenance.
For example, the reason why the repeater generates interference is that spatial white noise and noise of the repeater are amplified and then reach the receiving end of the base station together with the mobile phone signal through the uplink, which causes uplink interference to the base station. Generally, when a regular repeater manufacturer installs a repeater, the repeater manufacturer needs to adjust an uplink noise floor (uplink noise floor) and select a proper donor cell to reduce uplink interference to a base station system. However, some users install repeaters by themselves without considering the problem, and therefore, strong uplink interference is caused to surrounding base stations.
At present, the existing method for checking the external interference source usually locates the interference source in the range of a logic cell through KPI, and then uses a sweep generator to perform manual checking. The method has low investigation efficiency due to the large investigation range.
The method and the device for determining the external interference source provided by the embodiment of the invention can improve the troubleshooting efficiency of the interference source.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a first flowchart of a method for determining an external interference source according to an embodiment of the present invention. As shown in fig. 1, the method of this embodiment may include:
step S101, a measurement report of a region to be measured is obtained, and a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point are obtained according to the measurement report.
Step S102, performing the following operations on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal neighbor cells exist in all the neighbor cells corresponding to the target sampling point, acquiring the number of the abnormal neighbor cells; and if the number of the abnormal adjacent cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point.
Step S103. And if the ratio of the number of the suspicious points in the area to be detected to the number of all the sampling points is greater than a second preset threshold value, determining that an external interference source exists in the area to be detected.
In an embodiment of The present invention, a Measurement Report (MR) includes Minimization of Drive-Test (MDT) data and/or ott (over The top) positioning data. The core of the MDT technology is to obtain important parameters required for network optimization through data carrying a Global Navigation Satellite System (GNSS) reported by a terminal. The OTT positioning relies on various application services provided by the internet to users, and obtains the position information of the users based on the application services. The position information of the user can be accurately acquired through the MDT data and/or the OTT data, and the positioning precision can reach 20 meters.
The area to be measured is a grid area, and the size of the grid area is determined by the positioning accuracy of the MDT data and/or the OTT data, for example, the area to be measured is a grid area of 20 meters × 20 meters. Reference Signal Receiving Power (RSRP) is one of the key parameters that can represent the wireless Signal strength in an LTE network and the measurement requirements of a physical layer, and is a linear average of the received Power (in watts) on Resource elements (Resource elements, RE) that carry Reference signals over a measurement frequency bandwidth under consideration.
According to the working principle of the repeater, under the condition that the repeater is deployed by a user privately, a signal amplification process should exist in certain point positions of a wireless signal in a fading process, namely, the signal strength does not fade with time and distance in certain point positions, and even is inversely enhanced. According to this principle, it is determined whether or not there is an abnormality in the primary cell and the neighboring cell. If the main cell corresponding to the target sampling point and the plurality of cells in the adjacent cells are abnormal cells, judging that the target sampling point is a suspicious point, and determining whether an external interference source exists in the region to be detected according to the proportion of the suspicious point.
Firstly, judging whether a target main cell corresponding to a target sampling point is an abnormal main cell, if the target main cell is the abnormal main cell, performing multi-cell superposition judgment on the target sampling point, namely judging whether each adjacent cell corresponding to the target sampling point has an abnormal adjacent cell, if the adjacent cell corresponding to the target sampling point has the abnormal adjacent cell, acquiring the number of the abnormal adjacent cells, and determining the target sampling point as a suspicious point when the number of the abnormal adjacent cells is greater than a first preset threshold value. According to the method, whether each sampling point is a suspicious point is judged, and if the ratio of the number of the suspicious points in the area to be detected to the number of all sampling points is larger than a second preset threshold value, it is determined that an external interference source exists in the area to be detected.
Referring to fig. 2, fig. 2 is a second flowchart of a method for determining an external interference source according to an embodiment of the present invention, where on the basis of the embodiment shown in fig. 1, the embodiment of the present invention describes in detail a specific implementation manner of step S102, and the method according to the embodiment of the present invention may include:
step S201, judging whether a target main cell is an abnormal main cell according to a first RSRP measurement value of the target main cell corresponding to a target sampling point; if yes, go to step S202, otherwise go to step S206; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point.
Step S202, determining whether an abnormal neighboring cell exists in each neighboring cell according to a second RSRP measurement value of each neighboring cell corresponding to the target sampling point, if yes, performing step S203, and if not, performing step S206.
Step S203, acquiring the number of the abnormal neighboring cells.
Step S204, determining whether the number of the abnormal neighbor cells is greater than a first preset threshold, if so, performing step S205 to step S206, and if not, performing step S206.
Step S205, determining the target sampling point as a suspicious point.
Step S206, selecting a new sampling point from the sampling points as a new target sampling point, and continuing to execute step S201.
In the embodiment of the invention, the first RSRP measurement value of the main cell corresponding to each sampling point and the second RSRP measurement value of each adjacent cell corresponding to each sampling point are obtained through the measurement report MR, and the following operations are respectively carried out on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point, if the target main cell is the abnormal main cell, judging whether abnormal adjacent cells exist in the adjacent cells or not according to second RSRP measurement values of the adjacent cells corresponding to the target sampling point, if the abnormal adjacent cells exist in the adjacent cells corresponding to the target sampling point, acquiring the number of the abnormal adjacent cells, and when the number of the abnormal adjacent cells is larger than a first preset threshold value, determining that the target sampling point is a suspicious point. And when the ratio of the number of the suspicious points in the area to be detected to the number of all the sampling points is greater than a second preset threshold value, determining that an external interference source exists in the area to be detected. The embodiment of the invention reduces the investigation range of the external interference source to the region to be examined by judging whether the region to be examined has the external interference source, and only the region to be examined with the external interference source is required to be investigated, thereby improving the investigation efficiency.
Referring to fig. 3, fig. 3 is a flow chart of a method for determining an external interference source according to an embodiment of the present invention. On the basis of the embodiment shown in fig. 1, a specific implementation manner of determining whether the target primary cell is an abnormal primary cell according to the first RSRP measurement value of the target primary cell corresponding to the target sampling point in step S102 is described in detail in the embodiment of the present invention, and as shown in fig. 3, the method of this embodiment may include:
step S301, determining a first correlated sampling point correlated to the target main cell in each sampling point, wherein the first correlated sampling point refers to a sampling point of each sampling point, which takes the target main cell as a main cell or an adjacent cell.
Step S302, acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining the average value and standard deviation of all the first target RSRP measurement values.
Step S303, determining whether a difference between the first RSRP measurement value of the target main cell corresponding to the target sampling point and an average value of all the first target RSRP measurement values is greater than or equal to a third preset threshold, and whether a standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold, if yes, performing step S304, and if not, performing step S305.
Step S304, determining the target primary cell as an abnormal primary cell.
Step S305, determining that the target primary cell is not an abnormal primary cell.
In the embodiment of the present invention, first, a first correlated sampling point related to a target primary cell in each sampling point is determined, that is, a sampling point with the target primary cell as a primary cell or a neighboring cell in each correlated sampling point. And then, acquiring first target RSRP measurement values of the target main cells corresponding to the first related sampling points through the MR, determining the average value and the standard deviation of all the first target RSRP measurement values, and judging whether the target sampling points are suspicious points according to the first RSRP measurement values of the target main cells corresponding to the target sampling points and the average value and the standard deviation of all the first target RSRP measurement values.
For example, the first RSRP measurement value of the target primary cell corresponding to the target sampling point is RSRP1The first correlated sampling point is N1The first target RSRP measuring value corresponding to the ith first related sampling point is xiThen the average of all the first target RSRP measurement values is
Figure BDA0002088487290000111
All first target RSRP measurement values have a standard deviation of
Figure BDA0002088487290000112
If it is
Figure BDA0002088487290000113
And s1B, determining the target main cell as an abnormal main cell if the target main cell is more than or equal to b, and if the target main cell is more than or equal to b, determining the target main cell as the abnormal main cell
Figure BDA0002088487290000114
Or s1<b, determining that the target primary cell is not the abnormal primary cell.
The third preset threshold value a is determined by an empirical value of the repeater for the downlink signal boost, for example, a is 30. Assuming that the fluctuation distribution of the normal signal is gaussian distribution, the standard deviation of the normal gaussian distribution is 1, and when there is interference from an external interference source such as a repeater, the standard deviation changes, for example, b is 3.
Referring to fig. 4, fig. 4 is a fourth flowchart of a method for determining an external interference source according to an embodiment of the present invention. On the basis of the embodiment shown in fig. 1, a specific implementation manner of determining whether the target primary cell is an abnormal primary cell according to the first RSRP measurement value of the target primary cell corresponding to the target sampling point in step S102 is described in detail in the embodiment of the present invention, and as shown in fig. 4, the method of this embodiment may include:
step S401, determining a first correlated sampling point correlated to the target primary cell in each sampling point, where the first correlated sampling point refers to a sampling point of each sampling point that uses the target primary cell as a primary cell or an adjacent cell.
Step S402, acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining standard deviations of all the first target RSRP measurement values.
Step S403, determining a first power of the target primary cell corresponding to the target sampling point according to the first theoretical path loss of the target primary cell corresponding to the target sampling point.
Step S404, determining whether the first RSRP measurement value of the target primary cell corresponding to the target sampling point is greater than or equal to the first power, and whether the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold, if yes, performing step S405, and if not, performing step S406.
Step S405, determining the target primary cell as an abnormal primary cell.
Step S406, determining that the target primary cell is not an abnormal primary cell.
In the embodiment of the present invention, the implementation manners of step S401 and step S402 are the same as the implementation manners of step S301 and step S302 shown in fig. 3, and are not described again in the embodiment of the present invention.
In the embodiment of the present invention, the first theoretical path loss is calculated according to a propagation model, for example, at a frequency of 900MHz, by using an Okumura-Hata propagation model. In a possible implementation mode, firstly, the position information of a target sampling point and a target main cell is respectively determined according to an MR (magnetic resonance), a first distance between the target sampling point and the target main cell is determined according to the position information, and then a first theoretical path loss P of the target main cell corresponding to the target sampling point is determined through a propagation model according to the first distanceloss1. First power P of target primary cell corresponding to target sampling point1Is the power P of a downlink Reference Signal (RS)RSAnd first theoretical path loss Ploss1A difference of (i.e. P)1＝PRS-Ploss1Wherein P isRSRRU transmit power/number of antennas-10 log (12 × bandwidth × 5) +10log (1+ Pb). Sampling according to targetFirst RSRP measurement value RSRP of point-corresponding target main cell1A first power P1And the standard deviation s of all first target RSRP measurement values1And judging whether the target sampling point is a suspicious point. In particular, if RSRP1≥P1And s is1B is larger than or equal to b, the target main cell is determined to be an abnormal main cell, and if the RSRP is larger than or equal to b, the target main cell is determined to be an abnormal main cell1<P1Or s or1<b, determining that the target primary cell is not the abnormal primary cell.
Referring to fig. 5, fig. 5 is a flowchart of a method for determining an external interference source according to an embodiment of the present invention. On the basis of the embodiment shown in fig. 1, a specific implementation manner of determining whether an abnormal neighboring cell exists in each neighboring cell according to the second RSRP measurement value of each neighboring cell corresponding to the target sampling point in step S103 is described in detail in the embodiment of the present invention, and as shown in fig. 5, the method in this embodiment may include:
step S501, determining second relevant sampling points relevant to a target adjacent cell in the sampling points, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second relevant sampling points refer to sampling points of the target adjacent cell serving as a main cell or an adjacent cell in the sampling points.
Step S502, second target RSRP measurement values of the target adjacent cells corresponding to the second relevant sampling points are obtained according to the measurement report, and the average value and the standard deviation of all the second target RSRP measurement values are determined.
Step S503, determining whether a difference between the second RSRP measurement value of the target neighboring cell corresponding to the target sampling point and an average value of all the second target RSRP measurement values is greater than or equal to a third preset threshold, and whether a standard deviation of all the second target RSRP measurement values is greater than or equal to a fourth preset threshold, if yes, performing step S504 to step S505, and if not, performing step S505.
Step S504, the target neighbor cell is determined to be an abnormal neighbor cell.
Step S505, selecting a new neighboring cell from the neighboring cells corresponding to the target sampling point as a new target neighboring cell, and continuing to execute step S501.
In the embodiment of the present invention, first, a second relevant sampling point related to the target neighboring cell in each sampling point is determined, that is, the target neighboring cell is used as a sampling point of the primary cell or the neighboring cell in each relevant sampling point. Then, second target RSRP measurement values of the target adjacent cells corresponding to the second relevant sampling points are obtained through the MR, the average value and the standard deviation of all the second target RSRP measurement values are determined, and according to the second RSRP measurement values RSRP of the target adjacent cells corresponding to the target sampling points2Average of all second target RSRP measurement values
Figure BDA0002088487290000131
And standard deviation s2And judging whether the target neighbor cell is an abnormal neighbor cell.
For example, the second RSRP measurement value of the target neighboring cell corresponding to the target sampling point is RSRP2Second correlated sampling point is N2The second target RSRP measured value corresponding to the ith second relevant sampling point is yiThen the average of all second target RSRP measurement values is
Figure BDA0002088487290000132
All second target RSRP measurement values have a standard deviation of
Figure BDA0002088487290000133
If it is
Figure BDA0002088487290000134
And s2B, determining the target neighbor cell as an abnormal neighbor cell if the target neighbor cell is more than or equal to b, and if the target neighbor cell is more than or equal to b, determining the target neighbor cell as the abnormal neighbor cell
Figure BDA0002088487290000135
Or s2<b, determining that the target neighbor cell is not the abnormal neighbor cell, selecting a new neighbor cell from the neighbor cells corresponding to the target sampling point as the new target neighbor cell, and continuously judging whether the new target neighbor cell is the abnormal neighbor cell.
Referring to fig. 6, fig. 6 is a sixth flowchart of a method for determining an external interference source according to an embodiment of the present invention. On the basis of the embodiment shown in fig. 1, a specific implementation manner of determining whether an abnormal neighboring cell exists in each neighboring cell according to the second RSRP measurement value of each neighboring cell corresponding to the target sampling point in step S103 is described in detail in the embodiment of the present invention, and as shown in fig. 6, the method of this embodiment may further include:
step S601, determining a second relevant sampling point relevant to a target adjacent cell in each sampling point, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second relevant sampling point is a sampling point of each sampling point which takes the target adjacent cell as a main cell or an adjacent cell.
Step S602, obtaining second target RSRP measurement values of the target neighboring cells corresponding to the second relevant sampling points according to the measurement report, and determining standard deviations of all the second target RSRP measurement values.
Step S603, determining a second power of the target neighboring cell corresponding to the target sampling point according to a second theoretical path loss of the target neighboring cell corresponding to the target sampling point.
Step S604, determining whether a second RSRP measurement value of a target neighboring cell corresponding to the target sampling point is greater than or equal to the second power, and whether a standard deviation of all the second RSRP measurement values is greater than or equal to a fourth preset threshold, if yes, performing steps S605 to S606, and if not, performing step S606.
Step S605, determining that the target neighboring cell is an abnormal neighboring cell.
Step S606, selecting a new neighboring cell from the neighboring cells corresponding to the target sampling point as a new target neighboring cell, and continuing to execute step S601.
In the embodiment of the present invention, the implementation manners of step S601 and step S602 are the same as the implementation manners of step S501 and step S502 shown in fig. 5, and the embodiment of the present invention is not described again.
In the embodiment of the present invention, the second theoretical path loss is also calculated according to the propagation model. In a possible implementation mode, firstly, the position information of a target sampling point and a target adjacent cell is determined according to the MR, and the position information is determined according to the positionDetermining a second distance between the target sampling point and the target adjacent cell by the information, and determining a second theoretical path loss P of the target adjacent cell corresponding to the target sampling point according to the second distance and the propagation modelloss1. Second power P of target adjacent cell corresponding to target sampling point2For downlink RS power PRSAnd second theoretical path loss Ploss2A difference of (i.e. P)2＝PRS-Ploss2. According to a second RSRP measurement value RSRP of the target adjacent cell corresponding to the target sampling point2A second power P2And the standard deviation s of all second target RSRP measurement values2And judging whether the target neighbor cell is an abnormal neighbor cell. In particular, if RSRP2≥P2And s is2B is larger than or equal to b, the target neighbor cell is determined to be an abnormal neighbor cell, and if the RSRP is larger than or equal to b, the target neighbor cell is determined to be an abnormal neighbor cell2<P2Or s or2<b, determining that the target neighbor cell is not the abnormal neighbor cell. And selecting a new neighbor cell from the neighbor cells corresponding to the target sampling point as a new target neighbor cell, and continuously judging whether the new target neighbor cell is an abnormal neighbor cell.
As an embodiment of the present invention, on the basis of the embodiment shown in fig. 1, after step S103, the method may further include: and acquiring the position information of the area to be measured according to the measurement report, and sending the position information to a terminal.
In the embodiment of the invention, the position information of the region to be detected with the external interference source is sent to the terminal, so that the troubleshooting personnel can timely know the region range of the external interference source, and the troubleshooting personnel can perform troubleshooting in the region range, thereby improving the troubleshooting efficiency.
As an embodiment of the present invention, on the basis of the embodiment shown in fig. 1, after step S102, the method may further include: and determining the doubtful degree of the area to be tested according to the ratio of the number of the doubtful points in the area to be tested to the number of all the sampling points, and sending the doubtful degree to the terminal.
In the embodiment of the invention, the suspicious degree k of the area to be detected is determined according to an expression k which is N/N, wherein N is the number of suspicious points in the area to be detected, and N is the number of all sampling points in the area to be detected, and the suspicious degree of the area to be detected is sent to the terminal, so that a troubleshooting worker can timely know the possibility of an external interference source in the area to be detected. The suspicion degree indicates the possibility that the interference source exists in the region to be detected, the high suspicion degree indicates that the possibility that the external interference source exists in the region to be detected is high, and the low suspicion degree indicates that the possibility that the external interference source exists in the region to be detected is low.
As an embodiment of the present invention, on the basis of the embodiment shown in fig. 1, before step S101, the method may further include: and cleaning data of the measurement report of the area to be measured.
In the embodiment of the invention, the MR is subjected to data cleaning through algorithms such as data clustering and convolutional neural network, and abnormal points in the MR are removed.
Fig. 7 is a first schematic structural diagram of an apparatus for determining an external interference source according to an embodiment of the present invention, and as shown in fig. 7, an apparatus 700 for determining an external interference source according to the embodiment includes: the system comprises an acquisition module 701, a judgment module 702 and a determination module 703, wherein the specific functions of each unit are as follows:
an obtaining module 701, configured to obtain a measurement report of a region to be measured, and obtain, according to the measurement report, a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each neighboring cell corresponding to each sampling point;
a determining module 702, configured to perform the following operations on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal neighbor cells exist in all the neighbor cells corresponding to the target sampling point, acquiring the number of the abnormal neighbor cells; if the number of the abnormal neighbor cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point;
a determining module 703, configured to determine that an external interference source exists in the region to be tested if a ratio of the number of suspicious points in the region to be tested to the number of all sampling points is greater than a second preset threshold.
As an embodiment of the present invention, the determining module 702 is specifically configured to determine a first correlated sampling point, which is correlated with the target primary cell, in each sampling point, where the first correlated sampling point refers to a sampling point, which is taken as a primary cell or an adjacent cell, in each sampling point; acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining standard deviations of all the first target RSRP measurement values; determining a first power of a target main cell corresponding to the target sampling point according to a first theoretical path loss of the target main cell corresponding to the target sampling point; and if the first RSRP measurement value of the target main cell corresponding to the target sampling point is greater than or equal to the first power and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
As an embodiment of the present invention, the determining module 702 is specifically configured to determine a first distance between the target sampling point and the target primary cell, and determine a first theoretical path loss P of the target primary cell corresponding to the target sampling point according to the first distance and a propagation modelloss1；
According to the expression P1＝PRS-Ploss1Determining a first power P of a target primary cell corresponding to a target sampling point1；
Wherein, PRSIs the downlink RS power.
As an embodiment of the present invention, the determining module 702 is specifically configured to determine a second relevant sampling point, which is related to a target neighboring cell, in each sampling point, where the target neighboring cell is any one of neighboring cells corresponding to the target sampling point, and the second relevant sampling point refers to a sampling point, which uses the target neighboring cell as a main cell or a neighboring cell, in each sampling point;
acquiring second target RSRP measurement values of target neighbor cells corresponding to the second relevant sampling points according to the measurement report, and determining the average value and the standard deviation of all the second target RSRP measurement values;
if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is larger than or equal to a third preset threshold value, and the standard deviation of all the target RSRP measurement values is larger than or equal to a fourth preset threshold value, determining that the target adjacent cell is an abnormal adjacent cell, selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in all the sampling points;
and if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is smaller than the third preset threshold value, or the standard deviation of all the target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
As an embodiment of the present invention, the determining module 702 is specifically configured to determine a second relevant sampling point, which is related to a target neighboring cell, in each sampling point, where the target neighboring cell is any one of neighboring cells corresponding to the target sampling point, and the second relevant sampling point is a sampling point, which uses the target neighboring cell as a main cell or a neighboring cell, in each sampling point;
acquiring second target RSRP measurement values of target adjacent cells corresponding to the second relevant sampling points according to the measurement report, and determining standard deviations of all the second target RSRP measurement values;
determining a second power of the target adjacent cell corresponding to the target sampling point according to a second theoretical path loss of the target adjacent cell corresponding to the target sampling point;
if the second RSRP measurement values of the target adjacent cells corresponding to the target sampling point are greater than or equal to the second power, and the standard deviation of all the second target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target adjacent cells are abnormal adjacent cells, selecting a new adjacent cell from the adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in the sampling points;
and if the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point is smaller than the second power, or the standard deviation of all the second target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
As an embodiment of the present invention, the determining module 702 is specifically configured to determine a second distance between the target sampling point and the target neighboring cell, and determine a second theoretical path loss P of the target neighboring cell corresponding to the target sampling point according to the second distance and a propagation modelloss2；
According to the expression P2＝PRS-Ploss2Determining second power P of target adjacent cell corresponding to target sampling point2；
Wherein, PRSIs the downlink RS power.
Fig. 8 is a schematic structural diagram of a second determining apparatus for an external interference source according to an embodiment of the present invention, and based on the embodiment shown in fig. 7, as shown in fig. 8, the determining apparatus 700 for an external interference source according to the present embodiment may further include:
a first sending module 704, configured to obtain location information of the area to be measured according to the measurement report, and send the location information to the terminal.
The second sending module 705 is configured to determine the suspicious degree of the region to be detected according to the ratio of the number of the suspicious points in the region to be detected to the number of all sampling points, and send the suspicious degree to the terminal.
And a cleaning module 706, configured to clean data of the measurement report of the region to be measured.
The apparatus of the present embodiment may be used to implement the method embodiments shown in fig. 1 to fig. 6, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 9 is a schematic hardware structure diagram of an external interference source determination device according to an embodiment of the present invention. As shown in fig. 9, the determination apparatus 900 of the external interference source provided by the present embodiment includes: at least one processor 901 and memory 902. The external interference source determining apparatus 900 further comprises a communication component 903. The processor 901, the memory 902, and the communication section 903 are connected by a bus 904.
In a specific implementation process, the at least one processor 901 executes the computer-executable instructions stored in the memory 902, so that the at least one processor 901 performs the method for determining the external interference source in any one of the method embodiments described above. The communication component 903 is used for communicating with a terminal device and/or a server.
For a specific implementation process of the processor 901, reference may be made to the above method embodiments, which implement principles and technical effects are similar, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 9, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for determining an external interference source in any of the above method embodiments is implemented.
The computer-readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.

Claims (12)

1. A method for determining an external interference source, comprising:
acquiring a measurement report of a region to be measured, and acquiring a first Reference Signal Received Power (RSRP) measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point according to the measurement report;
the following operations are respectively carried out on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal neighbor cells exist in all the neighbor cells corresponding to the target sampling point, acquiring the number of the abnormal neighbor cells; if the number of the abnormal neighbor cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point;
if the ratio of the number of the suspicious points in the area to be tested to the number of all sampling points is larger than a second preset threshold value, determining that an external interference source exists in the area to be tested;
the judging whether the target main cell is an abnormal main cell according to the first RSRP measurement value of the target main cell corresponding to the target sampling point comprises the following steps:
determining a first correlated sampling point correlated with the target main cell in each sampling point, wherein the first correlated sampling point refers to a sampling point which takes the target main cell as a main cell or an adjacent cell in each sampling point;
acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining the average value and the standard deviation of all the first target RSRP measurement values;
and if the difference between the first RSRP measurement value of the target main cell corresponding to the target sampling point and the average value of all the first target RSRP measurement values is greater than or equal to a third preset threshold value, and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
2. The method of claim 1, wherein the determining whether the target primary cell is an abnormal primary cell according to the first RSRP measurement value of the target primary cell corresponding to the target sampling point comprises:
determining a first correlated sampling point correlated with the target main cell in each sampling point, wherein the first correlated sampling point refers to a sampling point which takes the target main cell as a main cell or an adjacent cell in each sampling point;
acquiring first target RSRP measurement values of the target main cell corresponding to the first related sampling points according to the measurement report, and determining standard deviations of all the first target RSRP measurement values;
determining a first power of a target main cell corresponding to the target sampling point according to a first theoretical path loss of the target main cell corresponding to the target sampling point;
and if the first RSRP measurement value of the target main cell corresponding to the target sampling point is greater than or equal to the first power and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
3. The method of claim 2, wherein determining the first power of the target primary cell corresponding to the target sampling point according to the first theoretical path loss of the target primary cell corresponding to the target sampling point comprises:
determining a first distance between the target sampling point and the target main cell, and determining a first theoretical path loss of the target main cell corresponding to the target sampling point according to the first distance and a propagation modelPloss1；
According to the expression P1＝PRS-Ploss1Determining a first power P of a target primary cell corresponding to a target sampling point1；
Wherein, PRSIs the downlink reference signal RS power.
4. The method according to any one of claims 1 to 3, wherein the determining whether an abnormal neighbor cell exists in each neighbor cell according to the second RSRP measurement value of each neighbor cell corresponding to the target sampling point comprises:
determining a second related sampling point related to a target adjacent cell in each sampling point, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second related sampling point is a sampling point of each sampling point, which takes the target adjacent cell as a main cell or an adjacent cell;
acquiring second target RSRP measurement values of target neighbor cells corresponding to the second relevant sampling points according to the measurement report, and determining the average value and the standard deviation of all the second target RSRP measurement values;
if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is larger than or equal to a third preset threshold value, and the standard deviation of all the target RSRP measurement values is larger than or equal to a fourth preset threshold value, determining that the target adjacent cell is an abnormal adjacent cell, selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in all the sampling points;
and if the difference between the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point and the average value of all the second target RSRP measurement values is smaller than the third preset threshold value, or the standard deviation of all the second target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
5. The method according to any one of claims 1 to 3, wherein the determining whether an abnormal neighbor cell exists in each neighbor cell according to the second RSRP measurement value of each neighbor cell corresponding to the target sampling point comprises:
determining second related sampling points related to a target adjacent cell in the sampling points, wherein the target adjacent cell is any one of the adjacent cells corresponding to the target sampling point, and the second related sampling points refer to sampling points of which the target adjacent cell is taken as a main cell or an adjacent cell in the sampling points;
acquiring second target RSRP measurement values of target neighbor cells corresponding to the second relevant sampling points according to the measurement report, and determining standard deviations of all the second target RSRP measurement values;
determining a second power of the target adjacent cell corresponding to the target sampling point according to a second theoretical path loss of the target adjacent cell corresponding to the target sampling point;
if the second RSRP measurement values of the target adjacent cells corresponding to the target sampling point are greater than or equal to the second power, and the standard deviation of all the second target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target adjacent cells are abnormal adjacent cells, selecting a new adjacent cell from the adjacent cells corresponding to the target sampling point as a new target adjacent cell, and continuing to execute the step of determining second related sampling points related to the target adjacent cell in the sampling points;
and if the second RSRP measurement value of the target adjacent cell corresponding to the target sampling point is smaller than the second power, or the standard deviation of all the second target RSRP measurement values is smaller than a fourth preset threshold value, executing a step of selecting a new adjacent cell from all the adjacent cells corresponding to the target sampling point as a new target adjacent cell.
6. The method of claim 5, wherein determining the second power of the target neighboring cell corresponding to the target sampling point according to the second theoretical path loss of the target neighboring cell corresponding to the target sampling point comprises:
determining a second distance between the target sampling point and the target adjacent cell, and determining a second theoretical path loss P of the target adjacent cell corresponding to the target sampling point according to the second distance and a propagation modelloss2；
According to the expression P2＝PRS-Ploss2Determining a second power P of the target neighbor cell corresponding to the target sampling point2；
Wherein, PRSIs the downlink RS power.
7. The method of claim 1, wherein if the ratio of the number of suspicious points in the region to be tested to the number of all sampling points is greater than a second preset threshold, after determining that an external interference source exists in the region to be tested, the method further comprises:
and acquiring the position information of the area to be measured according to the measurement report, and sending the position information to a terminal.
8. The method according to claim 1, wherein after determining that the target sampling point is a suspicious point if the number of the abnormal neighbor cells is greater than a first preset threshold, the method further comprises:
and determining the doubtful degree of the area to be tested according to the ratio of the number of the doubtful points in the area to be tested to the number of all the sampling points, and sending the doubtful degree to the terminal.
9. The method of claim 1, wherein before obtaining the first RSRP measurement value of the primary cell corresponding to each sampling point and the second RSRP measurement value of each neighboring cell corresponding to each sampling point according to the measurement report, the method further comprises:
and cleaning data of the measurement report of the area to be measured.
10. An apparatus for determining an external interference source, comprising:
the acquisition module is used for acquiring a measurement report of the area to be measured, and acquiring a first RSRP measurement value of a main cell corresponding to each sampling point and a second RSRP measurement value of each adjacent cell corresponding to each sampling point according to the measurement report;
the judging module is used for respectively carrying out the following operations on each sampling point: judging whether the target main cell is an abnormal main cell or not according to a first RSRP measurement value of the target main cell corresponding to the target sampling point; the target sampling point is any one of the sampling points, and the target main cell is a main cell corresponding to the target sampling point; if the target main cell is an abnormal main cell, judging whether abnormal neighbor cells exist in the neighbor cells according to second RSRP measurement values of the neighbor cells corresponding to the target sampling point; if abnormal neighbor cells exist in all the neighbor cells corresponding to the target sampling point, acquiring the number of the abnormal neighbor cells; if the number of the abnormal neighbor cells is larger than a first preset threshold value, determining the target sampling point as a suspicious point;
the determining module is used for determining that an external interference source exists in the area to be detected if the ratio of the number of the suspicious points in the area to be detected to the number of all sampling points is greater than a second preset threshold;
the judgment module is specifically configured to determine a first correlated sampling point, which is correlated with the target primary cell, in each sampling point, where the first correlated sampling point is a sampling point, which is used as a primary cell or an adjacent cell, in each sampling point; acquiring first target RSRP measurement values of the target main cell corresponding to the first relevant sampling points according to the measurement report, and determining standard deviations of all the first target RSRP measurement values; determining a first power of a target main cell corresponding to the target sampling point according to a first theoretical path loss of the target main cell corresponding to the target sampling point; and if the first RSRP measurement value of the target main cell corresponding to the target sampling point is greater than or equal to the first power and the standard deviation of all the first target RSRP measurement values is greater than or equal to a fourth preset threshold value, determining that the target main cell is an abnormal main cell.
11. An external interference source determining apparatus, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored by the memory causes the at least one processor to perform the method of determining an external interference source as claimed in any one of claims 1 to 9.
12. A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by a processor, implement the method of determining an external interference source according to any one of claims 1 to 9.
CN201910495680.1A 2019-06-10 2019-06-10 Method and device for determining external interference source Active CN110225536B (en)

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