CN111263374B - Method and device for base station verification analysis based on drive test data - Google Patents

Method and device for base station verification analysis based on drive test data Download PDF

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CN111263374B
CN111263374B CN201811456018.7A CN201811456018A CN111263374B CN 111263374 B CN111263374 B CN 111263374B CN 201811456018 A CN201811456018 A CN 201811456018A CN 111263374 B CN111263374 B CN 111263374B
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cell
base station
rsrp
target base
measured
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CN111263374A (en
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田津
彭陈发
陈锋
黄震山
黄建东
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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China Mobile Group Zhejiang 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
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • 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
    • 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]
    • 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 discloses a method and a device for verifying and analyzing a base station based on drive test data, which utilize the characteristic that the level intensity change between two cells with a mandarin duck line is strongly correlated, and obtain the level intensity change relation of two cells through RSRP measured at sampling points in the effective coverage area of the two cells when the level intensity change relation of any two cells of a target base station is detected. Judging whether the two cells have the double-wire problem according to whether the obtained level intensity change relation is in strong positive correlation. If the target base station comprises two cells with the double-wire problem, the verification of the target base station is not passed. According to the method, the double-wire problem is judged through the drive test data, so that the base station can judge the double-wire problem before use, the problem finding time is relatively long, and on the other hand, the judging efficiency and accuracy of the cell double-wire problem are improved.

Description

Method and device for base station verification analysis based on drive test data
Technical Field
The embodiment of the invention relates to the technical field of wireless side network planning and optimization, in particular to a method and a device for base station verification analysis based on drive test data.
Background
The single test is carried out on the mobile newly opened base station, and some problems are found to be an indispensable process in the base station cross-dimension link, and also an extremely important link. In order to discover the problems in time, avoid the network access of the base station with diseases, cause KPI deterioration and user complaints, and need to discover the problems and solve the problems in a newly opened base station single test link. The main purpose of the newly opened base station single test is to test and verify whether the comprehensive coverage level of the cell meets the standards (RSRP coverage and SINR coverage), whether the basic service is normal (connection service, maintenance service and mobile service), whether the uplink and downlink rates meet the standards, and whether the cell reverse connection and mandarin duck line problems exist. The most typical problem of the single test is the problem of reverse connection and mandarin duck line of a cell, the problem is hidden, the investigation difficulty is high, time and labor are consumed, and the existing single test judging method of the newly opened base station is to analyze the road test data manually and judge whether the problem of reverse connection and mandarin duck line exists in the cell according to personal experience.
The existing single test analysis method for the mobile newly opened base station is to analyze and judge the test service index, the cell reverse connection and the mandarin duck line problems according to subjective experience by manpower to find out the problems existing in the test service index, the cell reverse connection and the mandarin duck line problems. Such methods have certain drawbacks: (1) The manual test has low judging efficiency, and further the cross-maintenance period of the whole base station is prolonged; (2) The manual test judgment and identification mainly depends on personal experience judgment, and more subjective factors exist, so that the accuracy of the result is greatly reduced.
In addition, the existing identification technology for the cell reverse connection problem of the network-accessed base station mainly uses MR data collection to count the switching frequency of the test verification cell and surrounding base stations as a judgment basis, and the Mandarin duck line identification algorithm mainly uses the RSSI data to determine the Mandarin duck line problem through the statistics of network management indexes, and the two methods are only suitable for the sites after single test passing through the cross-over maintenance, and the data can be collected only after the single test passes through the site network management. The two methods can only find related problems after the base station operates for a long time, and the found problems are late, so that the network index is greatly influenced, and the user perception is also seriously influenced.
In the process of realizing the embodiment of the invention, the inventor finds that the existing methods for verifying the base station all need to collect data for verification after the base station is used for a period of time, the found problems are late, the use of the network by a user is affected, and the existing methods are low in efficiency and poor in judgment accuracy due to the fact that the base station is verified manually.
Disclosure of Invention
The invention aims to solve the technical problems that the prior method for verifying the base station needs to collect data for verification after the base station is used for a period of time, the problem is found to be late, the use of a network by a user is affected, and the prior method is low in efficiency and poor in judgment accuracy due to the fact that the base station is verified manually.
Aiming at the technical problems, the embodiment of the invention provides a method for verifying and analyzing a base station based on drive test data, which comprises the following steps:
acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed;
judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem;
judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information that the target base station has the mandarin duck line problem.
The embodiment provides a device for verifying and analyzing a base station based on drive test data, which comprises:
the acquisition module is used for acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed;
The judging module is used for judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, the first cell and the second cell have a mandarin duck line problem;
and the verification module is used for judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, the verification of the target base station is not passed, and a first prompt message that the target base station has the mandarin duck line problem is sent.
The present embodiment provides an electronic device, including:
at least one processor, at least one memory, a communication interface, and a bus; wherein, the liquid crystal display device comprises a liquid crystal display device,
the processor, the memory and the communication interface complete the communication with each other through the bus;
the communication interface is used for information transmission between the electronic device and communication devices of other electronic devices;
the memory stores program instructions executable by the processor, which invokes the program instructions to perform the method described above.
The present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the above-described method.
The embodiment of the invention provides a method and a device for verifying and analyzing a base station based on drive test data, which utilize the characteristic that the level intensity change between two cells with a mandarin duck line is strongly correlated, and obtain the level intensity change relation of two cells through RSRP measured at sampling points in the effective coverage area of the two cells when the level intensity change relation of any two cells of a target base station is detected. Judging whether the two cells have the double-wire problem according to whether the obtained level intensity change relation is in strong positive correlation. If the target base station comprises two cells with the double-wire problem, the verification of the target base station is not passed. According to the method, the double-wire problem is judged through the drive test data, so that the base station can judge the double-wire problem before use, the problem finding time is relatively long, and on the other hand, the judging efficiency and accuracy of the cell double-wire problem are improved.
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 illustration of a mandarin duck wire problem provided by one embodiment of the present invention;
fig. 2 is a schematic diagram of a cell reverse connection problem according to another embodiment of the present invention;
fig. 3 is a schematic diagram of 5 cell reverse connection problems existing in three cells of a base station according to another embodiment of the present invention;
FIG. 4 is a flow chart of a method for performing a base station verification analysis based on drive test data according to another embodiment of the present invention;
fig. 5 is a schematic diagram of a complete flow of verification analysis of a base station according to another embodiment of the present invention;
FIG. 6 is a schematic illustration of horizontal and vertical half-power angles provided by another embodiment of the present invention;
fig. 7 is a schematic diagram of effective coverage of a cell according to another embodiment of the present invention;
FIG. 8 is a block diagram of an apparatus for performing a base station verification analysis based on drive test data according to another embodiment of the present invention;
fig. 9 is a block diagram of an electronic device according to another 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.
Before the technical scheme of the invention is introduced, the problems of the mandarin duck wires and the reverse cell connection are briefly described. The base station is typically a three-sector, multiple-input multiple-output carrier frequency device, typically having 2 ports per carrier frequency, respectively connected to two ports of the antenna. However, in the actual construction process, due to carelessness of constructors, a feeder line of a port of a certain cell is connected to an antenna of another cell, so that a mandarin duck line problem or a cell reverse connection problem occurs.
Fig. 1 is a schematic diagram of the mandarin duck line problem provided in this embodiment, referring to fig. 1, if, for two cells, the feeder line of the port 1 of the carrier frequency of the cell a is connected to the antenna a, the feeder line of the port 2 of the carrier frequency is connected to the antenna B of the cell B, the feeder line of the port 1 of the carrier frequency of the cell B is connected to the antenna a, and the feeder line of the port 2 of the carrier frequency is connected to the antenna B, then the mandarin duck line problem exists in the cells a and B.
Fig. 2 is a schematic diagram of a cell reverse connection problem provided in this embodiment, referring to fig. 2, for two cells, if both the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell a are connected to the antenna B of the cell B, and both the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell B are connected to the antenna a of the cell a, then the cell reverse connection problem exists in the cell a and the cell B.
Fig. 3 is a schematic diagram of 5 cell reverse connection problems existing in three cells of the base station according to the present embodiment. The A, B, C cell anticlockwise connection means that the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell a are connected to the antenna C of the cell C, the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell C are connected to the antenna B of the cell B, and the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell B are connected to the antenna a of the cell a. A. The B, C cell clockwise connection and reverse connection means that the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell A are connected to the antenna B of the cell B, the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell B are connected to the antenna C of the cell C, and the feeder lines of the port 1 and the port 2 of the carrier frequency of the cell C are connected to the antenna A of the cell A.
Fig. 4 is a flowchart of a method for performing a base station verification analysis based on drive test data according to the present embodiment, referring to fig. 4, the method includes:
401: acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed;
402: judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem;
403: judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information that the target base station has the mandarin duck line problem.
The method provided in this embodiment is generally executed by a server or a device dedicated to verifying a base station, where the device implements verification of the base station according to the method of verification analysis provided in the present invention according to drive test data obtained by performing drive test (DT test) on the base station. In particular, because the method can realize verification analysis of the base station based on the drive test data, the method is suitable for verification analysis of a newly opened base station, and problems are found in time before the base station is used, so that inconvenience brought to users in the use process of the base station is avoided.
The method comprises the steps that the two-by-two combination of all cells of a target base station is required to be verified, the two-by-two combination of all cells of the target base station does not have the two-by-two combination of the target base station, the target base station does not have the two-by-two combination of the two cells of the target base station, otherwise, the target base station has the two-by-two combination of the two cells, and first prompt information is required to be sent out so that related personnel can timely solve the two-by-two combination of the two cells of the target base station.
The embodiment provides a method for verifying and analyzing a base station based on drive test data, which utilizes the characteristic that the level intensity change between two cells with mandarin duck lines is strongly correlated, and obtains the level intensity change relation of two cells for any two cells of a target base station through RSRP measured at sampling points in the effective coverage area of the two cells during road test. Judging whether the two cells have the double-wire problem according to whether the obtained level intensity change relation is in strong positive correlation. If the target base station comprises two cells with the double-wire problem, the verification of the target base station is not passed. According to the method, the double-wire problem is judged through the drive test data, so that the base station can judge the double-wire problem before use, the problem finding time is relatively long, and on the other hand, the judging efficiency and accuracy of the cell double-wire problem are improved.
Further, on the basis of the foregoing embodiment, the determining, according to the first RSRP and the second RSRP, whether the level intensity changes of the first cell and the second cell are strongly correlated, if yes, the first cell and the second cell have a mandarin duck problem includes:
Calculating a first RSRP average value of each measured first RSRP and a second RSRP average value of each measured second RSRP;
according to the formula
Figure GDA0004070939200000071
Calculating a correlation coefficient of level intensity variation of the first cell and the second cell;
judging whether the correlation coefficient is larger than a preset correlation coefficient threshold value, if so, the first cell and the second cell have the mandarin duck line problem, otherwise, the first cell and the second cell do not have the mandarin duck line problem;
wherein t is the correlation coefficient,
Figure GDA0004070939200000081
Figure GDA0004070939200000082
n is the total number of sampling points in the effective coverage area of the first cell or the second cell, RSRP (a i ) RSRP measured for the ith sampling point in the effective coverage area of the first cell, RSRP (B i ) For RSRP measured at the i-th sampling point within the effective coverage area of the second cell,
Figure GDA0004070939200000083
for the first RSRP average, +.>
Figure GDA0004070939200000084
For the second RSRP average, +.>
Figure GDA0004070939200000085
The preset correlation coefficient threshold is a value set according to experience, and the two cells only have the problem of mandarin duck line if the calculated correlation coefficient of the two cells is larger than the preset correlation coefficient threshold.
Fig. 5 shows a complete flow diagram of an authentication analysis of a base station, see fig. 5, the process of authenticating a base station comprising (the base station comprises three sectors, cell a, cell B and cell C respectively):
(1) Determining a single test specification, wherein the test verification of the newly opened base station needs to perform a circle of DT test on the newly opened base station and perform a coverage test in the main coverage direction of each cell;
(2) Acquiring whole network working parameter data, wherein the working parameter data comprises a base station name, a cell CELLID, a coverage scene, a cell coverage type, a CGI, an azimuth angle, a longitude and latitude, a downward inclination angle, a station height and the like;
(3) The drive test data is acquired, for example, the drive test data needs to comprise longitude and latitude, ECI (electronic control information) of a main serving cell and neighbor cells, frequency points, RSRP, SINR, PCI, uplink rate, downlink rate and other data, and is used for acquiring the number of neighbor cells, level intensity, PCI (peripheral component interconnect) distribution of the cell and the situation of the duty ratio in the forward range of the cell;
(4) A method for judging the main coverage of a test cell;
(5) A judging method for testing whether the sampling point is in the effective coverage area;
(6) A qualification judging method of cell test indexes;
(7) A cell mandarin duck line automatic identification algorithm;
(8) A cell reverse automatic identification algorithm;
(9) And the base station test verification stage is a standard reaching judgment method.
In the automatic identification algorithm for the mandarin duck line problem in the step (7), specifically, the following method may be adopted to identify the mandarin duck line problem, and the method includes:
(1) And (3) acquiring test point information in the effective coverage area of each cell by combining the steps (4) and (5), wherein the test point information comprises the longitude and latitude of a test point, the PCI (peripheral component interconnect) of a service cell and a neighbor cell, RSRP (reactive power reduction) and the like.
(2) According to the formula
Figure GDA0004070939200000091
Calculating a correlation coefficient;
(3) setting a preset correlation coefficient threshold k 0 When t is greater than k 0 When the double-wire type electric motor is used, the double-wire problem is considered to exist, and otherwise, the double-wire problem does not exist.
Because the measurement levels of two cells related to the mandarin duck wires have strong positive correlation, the correlation coefficient t is higher when the mandarin duck wires are problematic on the feeder lines of the two cells at the same station, and therefore, the reasonable threshold k is set 0 (e.g. based on actual engineering experience data k 0 0.8) can be taken, the feeder line of the cell A and the cell B can be judged to have the double-wire problem. When judging whether the two cells have the double-wire problem, if t is satisfied>k 0 The two cells have the problem of mandarin duck wires, if t is less than or equal to k 0 The double-wire problem does not exist.
For example, drive test data is calculated by the algorithmObtaining the correlation coefficient t among the cells A, B, C AB ，t AC ，t BC If t AB >k 0 A, B district mandarin duck line, t AC >k 0 A, C district mandarin duck line, t BC >k 0 And B, C cell mandarin duck line, if any one of the conditions exists, the station is newly opened, the test verification of the base station is not passed, constructors are required to be informed to go to the station for checking and modifying, and the test verification is again carried out after the modifying is finished.
Further, on the basis of the above embodiments, the method further includes:
for each cell of the target base station, calculating the comprehensive score of each cell under the cell by a preset processing method, judging whether the cell of the target base station has a cell reverse connection problem according to the calculated comprehensive score, if so, not passing the verification of the target base station, and sending out a second prompt message that the target base station has the cell reverse connection problem;
the preset processing method comprises the following steps:
acquiring each sampling point which is measured in the effective coverage area of the first cell when the first cell of the target base station is in the process of carrying out the driving, and respectively separating a first sampling point which is used for occupying the main pilot frequency by the first cell, a second sampling point which is used for occupying the main pilot frequency by the second cell and a third sampling point which is used for occupying the main pilot frequency by the third cell of the target base station from the acquired sampling points;
calculating a first strong level dispersion of the first cell based on the RSRP measured at each of the first sampling points and a set strong level value, a second strong level dispersion of the second cell based on the RSRP measured at each of the second sampling points and the set strong level value, and a third strong level dispersion of the third cell based on the RSRP measured at each of the third sampling points and the set strong level value;
Calculating a composite score of the first cell under the first cell according to the first strong level dispersion and the number of the first sampling points, calculating a composite score of the second cell under the first cell according to the second strong level dispersion and the number of the second sampling points, and calculating a composite score of the third cell under the first cell according to the third strong level dispersion and the number of the third sampling points.
Further, on the basis of the foregoing embodiments, the determining, according to the calculated composite score, whether a cell reverse connection problem exists in the cell of the target base station includes:
calculating the total scores of the first cell, the second cell and the third cell under the first cell through the preset process to be S respectively Aa 、S Ab And S is Ac The combined score of the first cell, the second cell and the third cell under the second cell is S respectively Ba 、S Bb And S is Bc The combined score of the first cell, the second cell and the third cell under the third cell is S respectively Ca 、S Cb And S is Cc ；
If S Bb Less than or equal to S Bc ，S Cc Less than or equal to S Cb And at S Aa 、S Ab And S is Ac S in (2) Aa If the second prompting information is the largest, the second cell and the third cell are reversely connected, the verification of the target base station is not passed, and the second prompting information is sent out, otherwise, the second cell and the third cell have no cell reverse connection problem;
If S Aa Less than or equal to S Ab ，S Bb Less than or equal to S Ba And at S Ca 、S Cb And S is Cc S in (2) Cc If the first cell and the second cell are in reverse connection, the verification of the target base station is not passed, the second prompt message is sent out, otherwise, the first cell and the second cell have no cell reverse connection problem;
if S Aa Less than or equal to S Ac ，S Cc Less than or equal to S Ca And at S Ba 、S Bb And S is Bc S in (2) Bb Maximum, the first cell and the third cellThe cell reverse connection does not pass the verification of the target base station, and the second prompt information is sent out, otherwise, the cell reverse connection problem does not exist in the first cell and the third cell;
if S Aa Less than or equal to S Ab ，S Bb Less than or equal to S Bc And S is Cc Less than or equal to S Ca The first cell, the second cell and the third cell are reversely connected anticlockwise, the verification of the target base station is not passed, the second prompt information is sent out, and otherwise, the first cell, the second cell and the third cell are not reversely connected anticlockwise;
if S Aa Less than or equal to S Ac ，S Bb Less than or equal to S Ba And S is Cc Less than or equal to S Cb The first cell, the second cell and the third cell are connected reversely clockwise, the verification of the target base station is not passed, the second prompt information is sent out, and otherwise, the first cell, the second cell and the third cell are not connected reversely clockwise;
If the second cell and the third cell have no cell reverse connection problem, the first cell and the second cell have no cell reverse connection problem, the first cell and the third cell have no cell reverse connection problem, the first cell, the second cell and the third cell have no anticlockwise reverse connection and have no clockwise reverse connection, then if the cell reverse connection problem does not exist in the cell of the target base station.
Further, on the basis of the foregoing embodiments, the calculating the composite score of the first cell under the first cell according to the first strong level dispersion and the number of the first sampling points, calculating the composite score of the second cell under the first cell according to the second strong level dispersion and the number of the second sampling points, and calculating the composite score of the third cell under the first cell according to the third strong level dispersion and the number of the third sampling points includes:
according to the first strong level dispersion and the first strong level dispersionThe number of sampling points is calculated by the formula
Figure GDA0004070939200000131
Calculating a composite score for the first cell under the first cell;
according to the second strong level dispersion and the number of the second sampling points, the method passes through a formula
Figure GDA0004070939200000132
Calculating a composite score for the second cell under the first cell;
according to the third strong level dispersion and the number of the third sampling points, the method passes through a formula
Figure GDA0004070939200000133
Calculating a composite score for the third cell under the first cell;
wherein w is 0 To set parameters, Q a For the first strong level dispersion, Q b For the second strong level of dispersion, Q c For the third strong level of dispersion,
Figure GDA0004070939200000134
Figure GDA0004070939200000135
p is the number of the first sampling points, q is the number of the second sampling points, and d is the number of the third sampling points.
Specifically, the automatic reverse cell identification algorithm in the step (8) includes:
(1) acquiring longitude and latitude of a test verification cell and longitude and latitude of a sampling point in drive test data, and counting drive test data sampling point information in the test verification cell by combining the steps (4) and (5);
(2) it is assumed that m sampling points are counted in the main coverage area of the single test cell A by the method, p points in the m sampling points are occupied by the cell A and the RSRP is RSRP a1 ，RSRP a2 ……RSRP ap Q points are co-sited smallZone B occupies the main pilot frequency, and RSRP is RSRP b1 ，RSRP b2 ……RSRP bq D points are the same station cell C occupying main pilot frequency, and RSRP is RSRP c1 ，RSRP c2 ……RSRP cd The main pilot frequency duty ratios of the cells A, B and C under the cell a are calculated according to the following formulas, wherein p is the number of the first sampling points, q is the number of the second sampling points, and d is the number of the third sampling points.
p a ＝p/(p+q+d)
p b ＝q/(p+q+d)
p c ＝d/(p+q+d)
The main pilot frequency duty ratio of each cell under the cells of the other two co-stations can be obtained by the same way;
(3) the strong level dispersion of the level intensities of the three cells A, B and C with the set strong level value K under the cell a is calculated by the following formula, the smaller the strong level dispersion means the more concentrated the strong level, wherein,
Figure GDA0004070939200000141
/>
Figure GDA0004070939200000142
Figure GDA0004070939200000143
the strong level dispersion of each cell under the other two co-sited cells can be obtained by the same method;
(4) according to the formula
Figure GDA0004070939200000144
Figure GDA0004070939200000145
Figure GDA0004070939200000146
Calculating a composite score for cells a, A, B and C, where w0 is an empirically set parameter value,
the same can obtain the comprehensive score condition S of each cell under the other two co-sited cells Ba 、S Bb ，S Bc ，S Ca ，S Cb ，S Cc ；
(5) The possible 5-phase reverse problem, such as the reverse problem shown in fig. 3, can be identified for the target base station by the following method, where the identifying method includes:
S Bb ≤S Bc and S is Cc ≤S Cb And S is Aa ＝max(S Aa ，S Ab ，S Ac ) B, C cell reverse connection
S Aa ≤S Ab And S is Bb ≤S Ba And S is Cc ＝max(S Ca ，S Cb ，S Cc ) A, B cell reverse connection
S Aa ≤S Ac And S is Cc ≤S Ca And S is Bb ＝max(S Ba ，S Bb ，S Bc ) A, C cell reverse connection
S Aa ≤S Ab And S is Bb ≤S Bc And S is Cc ≤S Ca And, A, B, C cell is connected in reverse anticlockwise direction
S Aa ≤S AC And S is Bb ≤S Ba And S is Cc ≤S Cb Then A, B, C cell is connected clockwise
If the statistics result does not have the conditions, the base station cell does not have the reverse connection problem, if any one of the conditions exists, the test verification is not passed, maintenance personnel are required to be informed of the process of checking the up-to-station, the straight-line problem is solved, and the test verification reaches the standard.
Further, on the basis of the above embodiments, the method further includes:
for any one of the target base stationsA first cell, counting the number m of call access success times in the effective coverage area of the first cell, and the number m of call establishment attempts c Call drop times u, call access success times u c Number of handovers, number of handover attempts, h c If (if)
Figure GDA0004070939200000151
Is greater than the set connection rate kl 1 ，/>
Figure GDA0004070939200000152
Is smaller than the set drop rate kl 2 And->
Figure GDA0004070939200000153
Is greater than the set switching success rate kl 3 If the cell service index of the first cell meets the standard, otherwise, the cell service index of the first cell does not meet the standard;
calculating a first RSRP average value of each measured first RSRP according to the first RSRP measured at each sampling point in the effective coverage area of the first cell when the road is carried out, and calculating a first SINR average value of each measured first SINR according to the first SINR measured at each sampling point in the effective coverage area of the first cell when the road is carried out, wherein if the first RSRP average value is larger than a first preset average value and the first SINR average value is larger than a second preset average value, the cell coverage index of the first cell meets the standard, otherwise, the cell coverage index of the first cell does not meet the standard;
Judging whether the number of continuous sampling points equal to the preset number exist in all sampling points in the effective coverage area of the first cell, wherein the acquired continuous sampling points simultaneously meet the following conditions
Figure GDA0004070939200000161
Greater than a preset SINR threshold, ">
Figure GDA0004070939200000162
Is greater than a preset upload rate, +.>
Figure GDA0004070939200000163
The method comprises the steps that the method is larger than a preset downloading rate, if yes, the rate index of the first cell meets the standard, otherwise, the rate index of the first cell does not meet the standard; where f is the total number of consecutive sampling points, SINR i For SINR measured at the ith sample point in consecutive sample points, ULTH i For the upload rate measured at the ith sample point in the succession of sample points, DLTH i A download rate measured at an ith sample point in the consecutive sample points;
if the cell service index of the first cell does not reach the standard, or the cell coverage index does not reach the standard, or the rate index does not reach the standard, carrying out cell single check on the first cell;
judging whether a cell which does not pass the cell single check exists in the cells of the target base station, if so, verifying the target base station is not passed, and sending out third prompt information that the target base station exists in the cell which does not pass the cell single check.
Specifically, step (6) in the above flow is performed with a single test on each cell of the base station, and determining whether the test index of each cell is qualified includes:
(1) Cell traffic index qualification determination
Obtaining the whole log data of the newly opened station, counting the call access success times m, and the call establishment attempt times m c Call drop times u and call access success times u c Number of handovers, number of handover attempts, h c If (if)
Figure GDA0004070939200000171
Then the call completing rate is considered to reach the standard and the call completing rate is considered to be the right>
Figure GDA0004070939200000172
Then the call drop rate is considered to be up to standard and +.>
Figure GDA0004070939200000173
The success rate of the handover is considered to reach the standard, where kl 1 、kl 2 、kl 3 To specify a threshold.
Figure GDA0004070939200000174
The call completing rate reaches the standard;
Figure GDA0004070939200000175
the call drop rate reaches the standard;
Figure GDA0004070939200000176
the success rate of switching reaches the standard;
if all the 3 conditions are met, the service class index of the test verification cell is considered to be up to standard, otherwise, the service class index of the test verification cell is not up to standard, and an optimization maintenance person is required to be notified to process until the service class index meets the standard.
(2) And (5) qualification judgment of the cell coverage index:
acquiring test sampling point data of a test verification cell, wherein the test sampling point data comprises RSRP and SINR, counting the sampling point data in the effective coverage area of the test verification cell according to longitude and latitude of the test sampling point and test cell information in combination with the algorithm of the step (4) and the step (5), and if the RSRP mean value in the range is larger than a specified threshold value ks1, the RSRP coverage is considered to reach the standard, and the SINR mean value in the effective coverage area is considered to be larger than a specified threshold value ks2, and the SINR coverage is considered to reach the standard.
If the following 2 conditions are met, the coverage index of the cell is considered to be up to standard, otherwise, the coverage index of the cell is not up to standard, and an optimization maintenance person is required to be notified to process until the coverage index of the cell meets the standard.
Figure GDA0004070939200000181
(3) And (3) qualification judgment of cell rate indexes:
acquiring test sampling point data of a test verification cell, wherein the test sampling point data comprises SINR (signal to interference plus noise ratio), downlink rate (DLTH) and uplink rate (ULTH), and calculating the sampling point data in the effective coverage area of the test verification cell according to the longitude and latitude of the test sampling point and the test cell information in combination with the step (4) and the step (5) algorithm, wherein the DL rate (download rate) corresponding to a good point in the effective coverage area is larger than a specified threshold k1, and the good point rate is considered to be up to standard, and the corresponding UL rate (upload rate) is considered to be larger than the specified threshold k2, and the good point rate is considered to be up to standard. And judging good points, and assuming that f continuous sampling points are selected, and the average value of SINR values of the f sampling points is larger than a specified threshold k3, considering the f sampling points as good points.
Figure GDA0004070939200000182
If all the 2 conditions are met, the cell rate index is considered to be met, otherwise, the cell rate index is not met, and an optimization maintenance person is required to be notified to process until the cell rate index meets the standard.
Further, on the basis of the above embodiments, the method includes:
for any first cell of the target base station, if the service index of the first cell meets the standard, the cell coverage index of the first cell meets the standard, and the rate index of the first cell meets the standard, performing cell single check passing on the first cell;
If the cell which does not pass the cell single test does not exist in the cell of the target base station, judging whether the two cells with the double-call problem exist in the cell of the target base station;
if the two cells with the double-wire problem are not contained in the cell of the target base station, judging whether the cell of the target base station has the cell reverse connection problem or not;
if the cell connection problem does not exist in the cell of the target base station, the verification of the target base station is passed.
In the process of verifying the target base station, a cell single test can be performed on each cell of the target base station, after each cell single test passes, the double-line problem and the cell reverse connection problem of the base station are judged in sequence, and the rapid verification analysis of the cell base station is realized through the flow of the system.
The method for determining the main coverage of the test cell in the step (4) in the above flow is specifically described as follows:
the main coverage direction is determined for the macro station mainly by using a cell azimuth angle, a horizontal half-power angle and a vertical half-power angle. The main coverage direction of the cell is the direction angle with stronger energy of the antenna of the cell, and the angle is a manually set value before the angle, so that the accuracy is poor. The half power angle is defined as the angle at which the power drops to half (3 dB) of the strongest direction (main lobe direction) on the main lobe. Therefore, the half power angle reflects the concentration degree of the antenna energy, so that the horizontal half power angle of the antenna of the selected cell is the size of the forward coverage angle of the antenna of the cell, and the vertical half power angle determines the effective coverage distance DL of the cell. Fig. 6 shows schematic diagrams of horizontal half power angles and vertical half power angles, and t1 in fig. 6 corresponds to the vertical half power angle, and t2 corresponds to the horizontal half power angle. Assuming that the azimuth angle of an antenna of the cell A is a (the included angle between the right center of energy radiation of the cell and the north direction), the longitude and latitude (lg 1, lt 2), the downward inclination angle is o, the vertical half power angle is V, the horizontal half power angle is t, the antenna hanging height ha calculates the effective coverage dl of the cell, the forward main coverage angle range is n, and the algorithm formula of n is as follows:
Figure GDA0004070939200000201
Where s is a correction value that is used to allow the forward angle to be properly adjusted.
Fig. 7 shows a schematic diagram of the effective coverage of a cell, wherein the algorithm formula of the effective coverage distance DL is as follows:
Figure GDA0004070939200000202
the effective coverage area of the cell A can be judged by the main coverage angle and the effective coverage distance of the cell A, the longitude and latitude of the cell A are used as circle centers, DL is a radius, and the angle n is a sector area in the coverage direction. The effective coverage area of the cell is a sector area with a forward angle n as an opening angle and a radius DL by using the center of the position.
Fig. 8 is a block diagram of an apparatus for verifying and analyzing a base station based on drive test data according to the present embodiment, referring to fig. 8, the apparatus includes an acquisition module 801, a judgment module 802 and a verification module 803, wherein,
an obtaining module 801, configured to obtain, for a first cell and a second cell of a target base station, a first RSRP measured at each sampling point in an effective coverage area of the first cell and a second RSRP measured at each sampling point in the effective coverage area of the second cell when the target base station is routed;
a judging module 802, configured to judge whether level intensity changes of the first cell and the second cell are strongly correlated according to the first RSRP and the second RSRP, if yes, a mandarin duck line problem exists in the first cell and the second cell;
And the verification module 803 is configured to determine whether two cells with the mandarin duck line problem are included in the cells of the target base station, if yes, verify the target base station is not passed, and send out a first prompt message that the target base station has the mandarin duck line problem.
The device for verifying and analyzing the base station based on the drive test data provided in this embodiment is applicable to the method for verifying and analyzing the base station based on the drive test data provided in the foregoing embodiment, and is not described herein again.
The embodiment provides a device for verifying and analyzing a base station based on drive test data, which utilizes the characteristic that the level intensity change between two cells with mandarin duck lines is strongly correlated, and obtains the level intensity change relation of two cells for any two cells of a target base station through RSRP measured at sampling points in the effective coverage area of the two cells during road test. Judging whether the two cells have the double-wire problem according to whether the obtained level intensity change relation is in strong positive correlation. If the target base station comprises two cells with the double-wire problem, the verification of the target base station is not passed. According to the method, the double-wire problem is judged through the drive test data, so that the base station can judge the double-wire problem before use, the problem finding time is relatively long, and on the other hand, the judging efficiency and accuracy of the cell double-wire problem are improved.
Fig. 9 is a block diagram showing the structure of an electronic apparatus provided in the present embodiment.
Referring to fig. 9, the electronic apparatus includes: a processor (processor) 901, a memory (memory) 902, a communication interface (Communications Interface) 903, and a bus 904;
wherein, the liquid crystal display device comprises a liquid crystal display device,
the processor 901, the memory 902, the communication interface 903, and the bus 904 complete the communication therebetween;
the communication interface 903 is used for information transmission between the electronic device and communication devices of other electronic devices;
the processor 901 is configured to call the program instructions in the memory 902 to perform the methods provided in the above method embodiments, for example, including: acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed; judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem; judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information that the target base station has the mandarin duck line problem.
The present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments, for example, including: acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed; judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem; judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information that the target base station has the mandarin duck line problem.
The present embodiment discloses 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, are capable of performing the methods provided by the above-described method embodiments, for example, comprising: acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed; judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem; judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information that the target base station has the mandarin duck line problem.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of electronic devices and the like are merely illustrative, wherein the elements described 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 embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have 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 or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A method for base station verification analysis based on drive test data, comprising:
acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed;
judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, judging that the first cell and the second cell have a double-wire problem;
Judging whether the cells of the target base station contain two cells with the mandarin duck line problem or not, if so, failing to verify the target base station, and sending out first prompt information of the target base station with the mandarin duck line problem;
the determining, according to the first RSRP and the second RSRP, whether the level intensity changes of the first cell and the second cell are in strong positive correlation, if yes, the first cell and the second cell have a mandarin duck line problem, including:
calculating a first RSRP average value of each measured first RSRP and a second RSRP average value of each measured second RSRP;
according to the formula
Figure FDA0004070939190000011
Calculating a correlation coefficient of level intensity variation of the first cell and the second cell;
judging whether the correlation coefficient is larger than a preset correlation coefficient threshold value, if so, the first cell and the second cell have the mandarin duck line problem, otherwise, the first cell and the second cell do not have the mandarin duck line problem;
wherein t is the correlation coefficient,
Figure FDA0004070939190000021
Figure FDA0004070939190000022
n is the total number of sampling points in the effective coverage area of the first cell or the second cell, RSRP (a i ) Is within the effective coverage area of the first cellRSRP measured at the i-th sampling point, RSRP (B i ) For RSRP measured at the i-th sampling point within the effective coverage area of the second cell,
Figure FDA0004070939190000023
for the first RSRP average, +.>
Figure FDA0004070939190000024
For the second RSRP average value,
Figure FDA0004070939190000025
2. the method as recited in claim 1, further comprising:
for each cell of the target base station, calculating the comprehensive score of each cell under the cell by a preset processing method, judging whether the cell of the target base station has a cell reverse connection problem according to the calculated comprehensive score, if so, not passing the verification of the target base station, and sending out a second prompt message that the target base station has the cell reverse connection problem;
the preset processing method comprises the following steps:
acquiring each sampling point which is measured in the effective coverage area of the first cell when the first cell of the target base station is in the process of carrying out the driving, and respectively separating a first sampling point which is used for occupying the main pilot frequency by the first cell, a second sampling point which is used for occupying the main pilot frequency by the second cell and a third sampling point which is used for occupying the main pilot frequency by the third cell of the target base station from the acquired sampling points;
Calculating a first strong level dispersion of the first cell based on the RSRP measured at each of the first sampling points and a set strong level value, a second strong level dispersion of the second cell based on the RSRP measured at each of the second sampling points and the set strong level value, and a third strong level dispersion of the third cell based on the RSRP measured at each of the third sampling points and the set strong level value;
calculating a composite score of the first cell under the first cell according to the first strong level dispersion and the number of the first sampling points, calculating a composite score of the second cell under the first cell according to the second strong level dispersion and the number of the second sampling points, and calculating a composite score of the third cell under the first cell according to the third strong level dispersion and the number of the third sampling points.
3. The method of claim 2, wherein determining whether a cell inverse problem exists in the cells of the target base station based on the calculated composite score comprises:
calculating the total scores of the first cell, the second cell and the third cell under the first cell through the preset process to be S respectively Aa 、S Ab And S is Ac The combined score of the first cell, the second cell and the third cell under the second cell is S respectively Ba 、S Bb And S is Bc The combined score of the first cell, the second cell and the third cell under the third cell is S respectively Ca 、S Cb And S is Cc ；
If S Bb Less than or equal to S Bc ，S Cc Less than or equal to S Cb And at S Aa 、S Ab And S is Ac S in (2) Aa If the second prompting information is the largest, the second cell and the third cell are reversely connected, the verification of the target base station is not passed, and the second prompting information is sent out, otherwise, the second cell and the third cell have no cell reverse connection problem;
if S Aa Less than or equal to S Ab ，S Bb Less than or equal to S Ba And at S Ca 、S Cb And S is Cc S in (2) Cc Maximally, the first cell and the second cell are reversely connected, verification on the target base station is not passed, the second prompt information is sent out, otherwise, the first cell and the second cell are connected in seriesThe second cell has no cell reverse connection problem;
if S Aa Less than or equal to S Ac ，S Cc Less than or equal to S Ca And at S Ba 、S Bb And S is Bc S in (2) Bb If the first cell and the third cell are in reverse connection, the verification of the target base station is not passed, the second prompt message is sent out, otherwise, the first cell and the third cell have no cell reverse connection problem;
If S Aa Less than or equal to S Ab ，S Bb Less than or equal to S Bc And S is Cc Less than or equal to S Ca The first cell, the second cell and the third cell are reversely connected anticlockwise, the verification of the target base station is not passed, the second prompt information is sent out, and otherwise, the first cell, the second cell and the third cell are not reversely connected anticlockwise;
if S Aa Less than or equal to S Ac ，S Bb Less than or equal to S Ba And S is Cc Less than or equal to S Cb The first cell, the second cell and the third cell are connected reversely clockwise, the verification of the target base station is not passed, the second prompt information is sent out, and otherwise, the first cell, the second cell and the third cell are not connected reversely clockwise;
if the second cell and the third cell have no cell reverse connection problem, the first cell and the second cell have no cell reverse connection problem, the first cell and the third cell have no cell reverse connection problem, the first cell, the second cell and the third cell have no anticlockwise reverse connection and have no clockwise reverse connection, then if the cell reverse connection problem does not exist in the cell of the target base station.
4. A method according to claim 3, wherein said calculating a composite score for said first cell under said first cell based on said first strong level dispersion and said number of first sample points, calculating a composite score for said second cell under said first cell based on said second strong level dispersion and said number of second sample points, and calculating a composite score for said third cell under said first cell based on said third strong level dispersion and said number of third sample points, comprises:
according to the first strong level dispersion and the number of the first sampling points, the method passes through a formula
Figure FDA0004070939190000051
Calculating a composite score for the first cell under the first cell;
according to the second strong level dispersion and the number of the second sampling points, the method passes through a formula
Figure FDA0004070939190000052
Calculating a composite score for the second cell under the first cell;
according to the third strong level dispersion and the number of the third sampling points, the method passes through a formula
Figure FDA0004070939190000053
Calculating a composite score for the third cell under the first cell;
wherein w is 0 To set parameters, Q a For the first strong level dispersion, Q b For the second strong level of dispersion, Q c For the third strong level of dispersion,
Figure FDA0004070939190000054
Figure FDA0004070939190000055
p is the number of the first sampling points, q is the number of the second sampling points, and d is the number of the third sampling points.
5. The method as recited in claim 2, further comprising:
for the targetCounting the number m of call access successes and the number m of call establishment attempts in the effective coverage area of any one of the first cells of the base station c Call drop times u, call access success times u c Number of handovers, number of handover attempts, h c If (if)
Figure FDA0004070939190000056
Is greater than the set connection rate kl 1 ，/>
Figure FDA0004070939190000057
Is smaller than the set drop rate kl 2 And->
Figure FDA0004070939190000058
Is greater than the set switching success rate kl 3 If the cell service index of the first cell meets the standard, otherwise, the cell service index of the first cell does not meet the standard;
calculating a first RSRP average value of each measured first RSRP according to the first RSRP measured at each sampling point in the effective coverage area of the first cell when the road is carried out, and calculating a first SINR average value of each measured first SINR according to the first SINR measured at each sampling point in the effective coverage area of the first cell when the road is carried out, wherein if the first RSRP average value is larger than a first preset average value and the first SINR average value is larger than a second preset average value, the cell coverage index of the first cell meets the standard, otherwise, the cell coverage index of the first cell does not meet the standard;
Judging whether the number of continuous sampling points equal to the preset number exist in all sampling points in the effective coverage area of the first cell, wherein the acquired continuous sampling points simultaneously meet the following conditions
Figure FDA0004070939190000061
Greater than a preset SINR threshold, ">
Figure FDA0004070939190000062
Greater thanPresetting an uploading rate->
Figure FDA0004070939190000063
The method comprises the steps that the method is larger than a preset downloading rate, if yes, the rate index of the first cell meets the standard, otherwise, the rate index of the first cell does not meet the standard; where f is the total number of consecutive sampling points, SINR i For SINR measured at the ith sample point in consecutive sample points, ULTH i For the upload rate measured at the ith sample point in the succession of sample points, DLTH i A download rate measured at an ith sample point in the consecutive sample points;
if the cell service index of the first cell does not reach the standard, or the cell coverage index does not reach the standard, or the rate index does not reach the standard, carrying out cell single check on the first cell;
judging whether a cell which does not pass the cell single check exists in the cells of the target base station, if so, verifying the target base station is not passed, and sending out third prompt information that the target base station exists in the cell which does not pass the cell single check.
6. The method according to claim 5, comprising:
For any first cell of the target base station, if the service index of the first cell meets the standard, the cell coverage index of the first cell meets the standard, and the rate index of the first cell meets the standard, performing cell single check passing on the first cell;
if the cell which does not pass the cell single test does not exist in the cell of the target base station, judging whether the two cells with the double-call problem exist in the cell of the target base station;
if the two cells with the double-wire problem are not contained in the cell of the target base station, judging whether the cell of the target base station has the cell reverse connection problem or not;
if the cell connection problem does not exist in the cell of the target base station, the verification of the target base station is passed.
7. An apparatus for base station verification analysis based on drive test data, comprising:
the acquisition module is used for acquiring a first RSRP measured at each sampling point in the effective coverage area of a first cell and a second RSRP measured at each sampling point in the effective coverage area of a second cell when the target base station is routed;
The judging module is used for judging whether the level intensity changes of the first cell and the second cell are in strong positive correlation or not according to the first RSRP and the second RSRP, and if so, the first cell and the second cell have a mandarin duck line problem;
the verification module is used for judging whether the two cells with the mandarin duck line problem are contained in the cells of the target base station, if so, the verification of the target base station is not passed, and a first prompt message of the target base station with the mandarin duck line problem is sent;
the judging module is further used for:
calculating a first RSRP average value of each measured first RSRP and a second RSRP average value of each measured second RSRP;
according to the formula
Figure FDA0004070939190000081
Calculating a correlation coefficient of level intensity variation of the first cell and the second cell;
judging whether the correlation coefficient is larger than a preset correlation coefficient threshold value, if so, the first cell and the second cell have the mandarin duck line problem, otherwise, the first cell and the second cell do not have the mandarin duck line problem;
wherein t is the correlation coefficient,
Figure FDA0004070939190000082
Figure FDA0004070939190000083
n is the total number of sampling points in the effective coverage area of the first cell or the second cell, RSRP (a i ) RSRP measured for the ith sampling point in the effective coverage area of the first cell, RSRP (B i ) For RSRP measured at the i-th sampling point within the effective coverage area of the second cell,
Figure FDA0004070939190000084
for the first RSRP average, +.>
Figure FDA0004070939190000085
For the second RSRP average value,
Figure FDA0004070939190000086
/>
8. an electronic device, comprising:
at least one processor, at least one memory, a communication interface, and a bus; wherein, the liquid crystal display device comprises a liquid crystal display device,
the processor, the memory and the communication interface complete the communication with each other through the bus;
the communication interface is used for information transmission between the electronic device and communication devices of other electronic devices;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-6.
9. A non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the method of any one of claims 1 to 6.
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