CN110839251B - Method for identifying front-to-back rejection ratio abnormality of antenna based on user data - Google Patents
Method for identifying front-to-back rejection ratio abnormality of antenna based on user data Download PDFInfo
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Abstract
The invention relates to a method for identifying the abnormality of the front-back rejection ratio of an antenna based on user data, which comprises the following steps: the method comprises the following steps: (1) data collection: collecting user data and worker parameter data; (2) data cleaning: screening and deleting abnormal user data and worker parameter data; (3) data processing: matching each data source in the step (2) through a cell identification code, performing duplicate removal processing, reserving cells with the number of user data larger than a preset value, calculating the distance from the user data to the cells, and performing abnormal value detection to delete the user data with abnormal distance; then counting and calculating the angle alpha from the user data to the cell from the normal direction of the azimuth angle of the cell; (4) and (3) data analysis: calculating the ratio k of the total number of the angle from the user data to the cell in the step (3) falling in the main lobe coverage sampling angle interval to the total number of the angle falling in the back lobe coverage sampling angle interval; (5) judging the abnormality of the front and rear inhibition ratios; (6) and outputting an abnormal result.
Description
Technical Field
The invention relates to the technical field of wireless communication networks, in particular to a method for identifying the abnormal front-to-back rejection ratio of an antenna based on user data.
Background
Since LTE is in commercial use, the requirements of users on the quality of a wireless network are gradually improved along with the popularization of intelligent terminals and the development of application services of smart phones, so that the LTE station building scale and the operation and maintenance investment of operators are increased year by year. On the other hand, the cost reduction, efficiency improvement, network service quality increase, network bandwidth increase and other requirements lead operators to reduce the cost while ensuring the service quality in the base station construction and operation maintenance. Under the background, the construction and operation and maintenance service sections of the low-price winning operators of the equipment providers and the operation and maintenance service providers are normal in the construction and operation and maintenance of the base stations in recent years, and the antenna equipment providers are in the same line, so that the antenna providers have to reduce the manufacturing cost of the antennas, and the antennas produced in batches at low cost are difficult to ensure the performance of the antennas.
Due to various reasons of construction period, cost and management, an operator cannot test each batch of antenna products one by one before the antenna is installed, and the quality of the antenna entering the current network operation is relatively reduced. The antenna performance directly concerns the network quality of operators, the later network maintenance and optimization work is established on the basis that the antenna performance reaches the standard, and the antenna performance does not reach the standard, which causes great interference and difficulty to the later maintenance and optimization. The quality of the operator network is reduced, which directly affects the network service of the operator, and further causes a series of negative problems of reduced service quality, reduced brand competitiveness, and the like.
The traditional method for finding out the abnormal front-to-back rejection ratio of the antenna is that a professional technician obtains a conclusion through detection of professional equipment or one-by-one analysis of background statistical data of a base station. Not only has great dependence on the skill level of professional technicians, but also has low efficiency and can not finish batch inspection.
Therefore, it is necessary to develop a method for quickly and effectively identifying the front-to-back rejection ratio abnormality of the antenna based on the user data by collecting public information reported by all base station users in a centralized manner and by means of technologies such as big data and intelligent algorithm, so that the cost is reduced and the efficiency and the accuracy are greatly improved.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for quickly and effectively identifying the front-to-back rejection ratio abnormality of the antenna based on user data by intensively collecting public information reported by all base station users and by means of technologies such as big data and intelligent algorithm, thereby greatly improving the efficiency and the accuracy while reducing the cost.
In order to solve the technical problems, the invention adopts the technical scheme that: the method for identifying the abnormal front-to-back rejection ratio of the antenna based on the user data comprises the following steps:
(1) data collection: collecting user data and worker parameter data;
(2) data cleaning: screening and deleting abnormal user data and worker parameter data;
(3) data processing: matching the data sources in the step (2) through the cell identification codes, then performing duplicate removal processing on the integrated data, counting the number of user data in each cell, only reserving the cells with the number of the user data larger than a preset value, calculating the distance from the user data to the cell according to the longitude and latitude of the cell and the longitude and latitude of the user data, and performing abnormal value detection to delete the user data with abnormal distance; then counting and calculating the angle alpha from the user data to the cell from the normal direction of the azimuth angle of the cell;
(4) and (3) data analysis: setting a horizontal half-power lobe angle of a target cell as b, setting an analysis horizontal half-power lobe coverage sampling interval a as b + n, setting a central 0 DEG of a main lobe coverage sampling angle interval of the target cell as a normal position, and distributing a/2 on the left and right of the normal, namely setting the main lobe coverage sampling angle interval a as [ -a/2, a/2], setting a 'back lobe coverage sampling angle interval a' as [ -180 DEG, a/2-180 DEG ] and [180 DEG-a/2, 180 DEG ], and calculating a ratio k, k as count (a ')/count (a) of the total number of angles from user data to the cell falling in the main lobe coverage sampling angle interval (a) and the total number of angles falling in the back lobe coverage sampling angle interval (a');
(5) judging the abnormal front and back inhibition ratios: if the ratio k calculated in the step (4) is larger than the suppression ratio factor j, considering that the front-back suppression ratio of the antenna of the target cell is abnormal, otherwise, considering that the antenna of the target cell is normal;
(6) and (3) outputting an abnormal result: and (5) outputting a judgment result according to the judgment result in the step (5).
By adopting the technical scheme, after the working parameter data and the user data are obtained, firstly, the data are cleaned and matched, abnormal data are removed according to a certain rule, then the data are processed by an algorithm, and then the front-to-back ratio abnormality judgment is carried out on the data processed by the algorithm; by collecting public information reported by all base station users in a centralized manner and by means of technologies such as big data and intelligent algorithm, the judgment of the front-to-back rejection ratio abnormality of the antenna is obtained, so that the cost is reduced, and the efficiency and the accuracy are greatly improved; the distance from the user data to the cell is calculated, and the abnormal value detection and deletion of the user data with abnormal distance refers to the user data which is far away and close (the far and close user data may be caused by the sensitivity of the receiver and the latitude and longitude drift and can cause interference to the algorithm). Calculating the distance from the user data to the cell by using a spherical distance formula; d (x1, y1, x2, y2) ═ r arccos (sin (x1) × sin (x2) + cos (x1) × cos (x2) × cos (y1-y 2)); x1, X2, y1, y2 are units of radians in latitude \ longitude; r is the radius of the earth; in addition, the coordinate azimuth angle of the longitude and latitude points of the user data is calculated by taking the longitude and latitude of the base station as a center, and then the angle which is smaller than 180 degrees and formed by the coordinate azimuth angle and the normal is solved by utilizing the geometric trigonometric knowledge, wherein the counterclockwise direction of the azimuth angle is negative, and the clockwise direction of the azimuth angle is positive.
As a preferred technical solution of the present invention, the user data and the work parameter data in step (1) include time, a cell id used by the user, a longitude of the user, a latitude of the user, reference signal received power, a cell id, a cell longitude, a cell latitude, a cell azimuth, a cell name, a cell coverage type, and a cell antenna type.
As a preferred technical scheme of the invention, the step (2) comprises the following specific steps:
s21, deleting the cells with empty longitude or latitude, antenna type or coverage type in the work parameter table;
s22, selecting a cell with a cell coverage type of an outdoor macro station;
s33, deleting the cell data with the cell azimuth angle being null and not in the range of [0 degrees and 360 degrees;
s34 deletes data whose user longitude or user latitude or Reference Signal Received Power (RSRP) is empty.
As a preferred embodiment of the present invention, the predetermined value in the step (3) is obtained by engineering practice and surveying; when counting and calculating the angle alpha from the cell azimuth normal direction in the step (3), a circle 360 DEG is formed by the cell azimuth normal direction being 0 DEG, clockwise 180 DEG and anticlockwise 180 DEG, alpha belongs to-180 DEG and 180 DEG, and the total number of user points count (alpha) at the angle alpha is counted and placed in a two-dimensional coordinate system, wherein the vertical axis is y and the horizontal axis is x. Where the predetermined values are obtained through engineering practices and surveys, different coverage scenarios may differ.
As a preferred technical solution of the present invention, in the step (4), an analysis horizontal half-power lobe coverage sampling interval a ═ b + n is set, wherein when 0 ° < b ≦ 30 °, n ═ 10 °; when b is more than 30 degrees and less than or equal to 140 degrees, n is 0 degrees; when the angle is 140 degrees and less than or equal to b and less than or equal to 180 degrees, the angle is-20 degrees.
As a preferred embodiment of the present invention, in the step (4), when the horizontal half power lobe angle of the target cell is 65 °, the horizontal half power lobe angles on both sides of the normal line are respectively distributed at 32.5 °, i.e., -32.5 ° and 32.5 °, and the back lobe directions are [ -180 °, -147.5 ° ] and [147.5 °, 180 °). Known from engineering practice, the horizontal half-power lobe angle of the current mainstream outdoor macro base station antenna is 65 degrees, so that the horizontal half-power lobe angle of the target cell is 65 degrees as a preferred technical scheme of the method, but the application range of the patent protection is not limited to the horizontal half-power lobe angle of 65 degrees. When the horizontal half-power lobe angle is 65 degrees, the horizontal half-power lobe angles on two sides of the normal line are respectively distributed at 32.5 degrees, namely [ -32.5 degrees and 32.5 degrees ], the back lobe directions are [ -180 degrees, -147.5 degrees ] and [147.5 degrees and 180 degrees ], the normal front-back rejection ratio of the antenna is considered to be more than or equal to 25dB in engineering practice, namely effective coverage cannot be formed in the antenna back lobe direction, the situation is reflected in user behavior that a user hardly occupies a cell in the cell antenna back lobe direction, and almost no user data is reported.
As a preferred technical solution of the present invention, the time period of data collection in the step (1) is 30 days of OTT data or 3 days of MDT minimization of drive test data; wherein the OTT data refers to data collected by OTT business of communication industry; the MDT minimization of drive test data is data which is measured and reported by an operator through a commercial terminal or a test terminal of a signed user.
In a preferred embodiment of the present invention, the suppression ratio factor j in the step (5) is 0.3. The rejection ratio factor j is obtained by training engineering practice survey data according to the antenna type and different coverage scenes.
As a preferred technical solution of the present invention, the determination result output in the step (6) includes a cell identification code, an antenna type, a coverage scene, a ratio k, and a front-to-back suppression ratio factor j.
Compared with the prior art, the invention has the following advantages and beneficial effects: by intensively collecting public information reported by all base station users and by means of technologies such as big data and intelligent algorithm, a quick and effective method for detecting the front-to-back suppression ratio abnormality of the antenna is provided, the cost is reduced, and the efficiency and the accuracy are greatly improved.
Drawings
The technical scheme of the invention is further described in the following with the accompanying drawings:
FIG. 1 is a schematic flow chart of a method for identifying an abnormal front-to-back rejection ratio of an antenna based on user data according to the present invention;
FIG. 2 is a two-dimensional distribution of the number of alpha user points in the method for identifying the front-to-back rejection ratio abnormality of the antenna based on the user data according to the present invention;
fig. 3 is a schematic diagram of an antenna horizontal half-power lobe angle in the method for identifying an antenna front-to-back rejection ratio abnormality based on user data according to the present invention;
fig. 4 is a diagram illustrating the effect of performing the before-after-recognition suppression ratio abnormality in the method for recognizing the before-after-antenna suppression ratio abnormality based on the user data according to the present invention.
Detailed Description
For the purpose of enhancing the understanding of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and examples, which are provided for the purpose of illustration only and are not intended to limit the scope of the present invention.
Example 1: as shown in fig. 1 to 3, the method for identifying the front-to-back rejection ratio abnormality of the antenna based on the user data includes the following steps:
(1) data collection: collecting user data and worker parameter data;
the user data and the working parameter data in the step (1) comprise time, a cell identification code used by the user, the longitude of the user, the latitude of the user, reference signal receiving power, a cell identification code, the cell longitude, the cell latitude, a cell azimuth angle, a cell name, a cell coverage type and a cell antenna type;
the time period of data collection in the step (1) is 30 days of OTT data or 3 days of MDT minimization of drive test data; wherein the OTT data refers to data collected by OTT services of the communication industry; the MDT data is data which is measured and reported by an operator through a commercial terminal or a test terminal of a signed user;
(2) data cleaning: firstly, deleting the cell with at least one empty parameter in the parameter data table; selecting a cell with a cell coverage type of an outdoor macro station; deleting the cell with the azimuth angle of null and not at [0 degrees and 360 degrees ]; deleting data with at least one parameter of the user data being empty;
the step (2) comprises the following specific steps:
s21, deleting the cells with empty longitude or latitude, antenna type or coverage type in the work parameter table;
s22, selecting a cell with a cell coverage type of an outdoor macro station;
s33, deleting the cell data with the cell azimuth angle being null and not in the range of [0 degrees and 360 degrees;
s34 deletes data whose longitude or latitude or Reference Signal Received Power (RSRP) is null;
(3) data processing: matching the data sources in the step (2) through cell identification codes, then performing duplicate removal processing on the integrated data, counting the number of user data in each cell, only reserving the cells with the number of the user data larger than a preset value, calculating the distance from the user data to the cell by using a spherical distance formula according to the longitude and latitude of the cell and the longitude and latitude of the user data, and performing abnormal value detection to delete the user data with abnormal distance; then, counting and calculating an angle alpha from user data to a cell from the normal direction of the azimuth angle of the cell (wherein, the coordinate azimuth angle of a longitude and latitude point of the user data is calculated by taking the longitude and latitude of a base station as a center, and then an angle which is less than 180 degrees and is formed by the coordinate azimuth angle and a normal is solved by utilizing geometric trigonometric knowledge, and the counterclockwise direction of the azimuth angle is negative, and the clockwise direction is positive);
the predetermined values in step (3) are obtained by engineering practice and surveying; in the step (3), when the angle alpha from the cell azimuth normal direction is counted and calculated, the cell azimuth normal is 0 degrees, 180 degrees clockwise and 180 degrees anticlockwise form a circle 360 degrees, alpha belongs to-180 degrees and 180 degrees, and the total number count (alpha) of the user points at the angle alpha is counted and placed in a two-dimensional coordinate system, wherein the vertical axis is y and the horizontal axis is x. Wherein the predetermined values are obtained through engineering practice and surveying, and different coverage scenarios may be different;
(4) and (3) data analysis: setting a horizontal half-power lobe angle of a target cell as b, setting an analysis horizontal half-power lobe coverage sampling interval a as b + n, setting a central 0 DEG of a main lobe coverage sampling angle interval of the target cell as a normal position, and distributing a/2 on the left and right of the normal, namely setting the main lobe coverage sampling angle interval a as [ -a/2, a/2], setting a 'back lobe coverage sampling angle interval a' as [ -180 DEG, a/2-180 DEG ] and [180 DEG-a/2, 180 DEG ], and calculating a ratio k, k as count (a ')/count (a) of the total number of angles from user data to the cell falling in the main lobe coverage sampling angle interval (a) and the total number of angles falling in the back lobe coverage sampling angle interval (a'); wherein when b is more than 0 degree and less than or equal to 30 degrees, n is 10 degrees; when b is more than 30 degrees and less than or equal to 140 degrees, n is 0 degree; when b is more than 140 degrees and less than or equal to 180 degrees, n is-20 degrees;
(5) judging the abnormality of the front and rear inhibition ratios: if the ratio k calculated in the step (4) is larger than the suppression ratio factor j, considering that the front-back suppression ratio of the antenna of the target cell is abnormal, otherwise, considering that the antenna of the target cell is normal;
(6) and (3) outputting an abnormal result: outputting a judgment result according to the judgment result in the step (5); the judgment result output in the step (6) comprises a cell identification code, an antenna type, a coverage scene, a ratio k and a front and back suppression ratio factor j;
after the front-to-back inhibition ratio of the antenna is judged to be abnormal through the steps, the antenna is sent to a network operation and maintenance professional team for verification on site, and a qualified antenna product is replaced after verification. Through practice of operation and maintenance teams of operators in certain places, the method achieves good effect, saves a large amount of labor, improves the working efficiency and the network quality, and saves the operation and maintenance cost.
Example 2: the method for identifying the abnormal front-to-back rejection ratio of the antenna based on the user data comprises the following steps:
(1) data collection: collecting user data and worker parameter data;
the user data and the working parameters in the step (1) comprise time, a cell identification code used by the user, the longitude of the user, the latitude of the user, reference signal receiving power, a cell identification code, cell longitude, cell latitude, a cell azimuth, a cell name, a cell coverage type and a cell antenna type;
the time period of data collection in the step (1) is 30 days of OTT data or 3 days of MDT minimization of drive test data; wherein the OTT data refers to data collected by OTT business of communication industry; the MDT data is data which is measured and reported by an operator through a commercial terminal or a test terminal of a signed user;
(2) data cleaning: firstly, deleting a cell with at least one parameter in a work parameter data table being empty; selecting a cell with a cell coverage type of an outdoor macro station; deleting the cell with the azimuth angle of null and not at [0 degrees and 360 degrees ]; deleting data with at least one parameter of the user data being empty;
the step (2) comprises the following specific steps:
s21, deleting the cells with empty longitude or latitude, antenna type or coverage type in the work parameter table;
s22, selecting a cell with a cell coverage type of an outdoor macro station;
s33, deleting the cell data with the cell azimuth angle being null and not in the range of [0 degrees and 360 degrees ];
s34 deletes data whose longitude or latitude or Reference Signal Received Power (RSRP) is null;
(3) data processing: matching the data sources in the step (2) through cell identification codes, then performing duplicate removal processing on the integrated data, counting the number of user data in each cell, only reserving the cells with the number of the user data larger than a preset value, calculating the distance from the user data to the cell by using a spherical distance formula according to the longitude and latitude of the cell and the longitude and latitude of the user data, and performing abnormal value detection to delete the user data with abnormal distance; then, counting and calculating an angle alpha from user data to a cell from the normal direction of the azimuth angle of the cell (wherein, the coordinate azimuth angle of a longitude and latitude point of the user data is calculated by taking the longitude and latitude of a base station as a center, and then an angle which is less than 180 degrees and is formed by the coordinate azimuth angle and a normal is solved by utilizing geometric trigonometric knowledge, and the counterclockwise direction of the azimuth angle is negative, and the clockwise direction is positive);
the predetermined values in step (3) are obtained by engineering practice and surveying; when counting and calculating the angle alpha from the cell azimuth normal direction in the step (3), a circle 360 DEG is formed by the cell azimuth normal direction being 0 DEG, clockwise 180 DEG and anticlockwise 180 DEG, alpha belongs to-180 DEG and 180 DEG, and the total number of user points count (alpha) at the angle alpha is counted and placed in a two-dimensional coordinate system, wherein the vertical axis is y and the horizontal axis is x. Wherein the predetermined values are obtained through engineering practice and surveying, and different coverage scenarios may be different;
(4) and (3) data analysis: setting a horizontal half-power lobe angle of a target cell as b, setting an analysis horizontal half-power lobe coverage sampling interval a as b + n, setting a central 0 DEG of a main lobe coverage sampling angle interval of the target cell as a normal position, and distributing a/2 on the left and right of the normal, namely setting the main lobe coverage sampling angle interval a as [ -a/2, a/2], setting a 'back lobe coverage sampling angle interval a' as [ -180 DEG, a/2-180 DEG ] and [180 DEG-a/2, 180 DEG ], and calculating a ratio k, k as count (a ')/count (a) of the total number of angles from user data to the cell falling in the main lobe coverage sampling angle interval (a) and the total number of angles falling in the back lobe coverage sampling angle interval (a'); when the horizontal half-power lobe angle of the target cell is 65 degrees, the horizontal half-power lobe angles on the two sides of the normal line are respectively distributed at 32.5 degrees, namely [ -32.5 degrees and 32.5 degrees ], and the back lobe directions are [ -180 degrees, -147.5 degrees ] and [147.5 degrees and 180 degrees ]; known from engineering practice, currently, the horizontal half-power lobe angle of a mainstream outdoor macro base station antenna is 65 °, so that the horizontal half-power lobe angle of a target cell is 65 ° as a preferred technical scheme of the method, but the application range of the patent protection is not limited to the horizontal half-power lobe angle of 65 °. When the horizontal half-power lobe angle is 65 degrees, the horizontal half-power lobe angles on two sides of the normal line are respectively distributed at 32.5 degrees, namely [ -32.5 degrees ] and 32.5 degrees ], the back lobe directions are [ -180 degrees, -147.5 degrees ] and [147.5 degrees ] and 180 degrees ], the normal front-back rejection ratio of the antenna is considered to be more than or equal to 25dB in engineering practice, namely effective coverage cannot be formed in the antenna back lobe direction, the effective coverage is reflected in user behavior, namely, a user hardly occupies a cell in the cell antenna back lobe direction, and almost no user data is reported;
(5) judging the abnormality of the front and rear inhibition ratios: if the ratio k calculated in the step (4) is larger than the suppression ratio factor j, considering that the front-back suppression ratio of the antenna of the target cell is abnormal, otherwise, considering that the antenna of the target cell is normal; the suppression ratio factor j in the step (5) is 0.3. The rejection ratio factor j is obtained by training engineering practice survey data according to the antenna type and different coverage scenes.
(6) And (3) outputting an abnormal result: outputting a judgment result according to the judgment result in the step (5); the judgment result output in the step (6) comprises a cell identification code, an antenna type, a coverage scene, a ratio k and a front and back suppression ratio factor j.
Fig. 4 is a diagram of an actual effect of detecting an antenna front-rear rejection ratio abnormality after the implementation of the method, and a black frame hollow triangle of a target cell in fig. 4 is a cell covered in the north direction, which can be obviously seen from a user data two-dimensional plane rendering diagram, and forms effective coverage in a main coverage direction, but also generates abnormal actual effective coverage in a back lobe direction due to the antenna front-rear ratio abnormality. The traditional method for judging the front-to-back suppression ratio of the antenna is to detect through human professional equipment or analyze background statistical data of a base station one by one, so that the labor cost is high, the efficiency is low, and the accuracy is poor; the method is realized through a big data technology and a computer algorithm, provides a quick and effective method for detecting the front-to-back rejection ratio abnormality of the antenna in engineering practice, reduces the cost and greatly improves the efficiency and the accuracy.
It is obvious to those skilled in the art that the present invention is not limited to the above embodiments, and the invention is not limited to the above embodiments, and it is within the scope of the present invention to use the method concept and technical solution of the present invention directly in other fields without any substantial modification or improvement.
Claims (5)
1. A method for identifying the abnormal front-to-back suppression ratio of an antenna based on user data is characterized by comprising the following steps:
(1) data collection: collecting user data and worker parameter data;
(2) data cleaning: screening and deleting abnormal user data and worker parameter data;
(3) data processing: matching the data sources in the step (2) through cell identification codes, then performing duplicate removal processing on the integrated data, counting the number of user data in each cell, reserving the cells with the number of the user data larger than a preset value, calculating the distance from the user data to the cell according to the longitude and latitude of the cell and the longitude and latitude of the user data, and performing abnormal value detection to delete the user data with abnormal distance; then counting and calculating the angle alpha from the user data to the cell from the normal direction of the azimuth angle of the cell;
(4) and (3) data analysis: setting a horizontal half-power lobe angle of a target cell as b, setting an analysis horizontal half-power lobe coverage sampling interval a as b + n, setting a center 0 DEG of a main lobe coverage sampling angle interval of the target cell as a normal position, and distributing a/2 on the left and right of the normal, namely the main lobe coverage sampling angle interval a is [ -a/2, a/2], and a 'back lobe coverage sampling angle interval a' is [ -180 DEG, a/2-180 DEG ] and [180 DEG-a/2, 180 DEG ], and calculating a ratio k of the total number of angles from user data to the cell falling in the main lobe coverage sampling angle interval to the total number of angles falling in the back lobe coverage sampling angle interval in the step (3);
(5) judging the abnormality of the front and rear inhibition ratios: if the ratio k calculated in the step (4) is larger than the suppression ratio factor j, considering that the front-back suppression ratio of the antenna of the target cell is abnormal, otherwise, considering that the antenna of the target cell is normal;
(6) and (3) outputting an abnormal result: outputting a judgment result according to the judgment result in the step (5);
the user data and the working parameter data in the step (1) comprise time, a cell identification code used by the user, the longitude of the user, the latitude of the user, reference signal receiving power, a cell identification code, the cell longitude, the cell latitude, a cell azimuth angle, a cell name, a cell coverage type and a cell antenna type;
the step (2) comprises the following specific steps:
s21, deleting the cells with empty longitude, latitude, antenna type and coverage type in the work parameter table;
s22, selecting the cell with the cell coverage type of outdoor macro station;
s33, deleting the cell data with the cell azimuth angle being null and not in the range of [0 degrees and 360 degrees;
s34 deleting the data with user longitude, user latitude and reference signal receiving power empty;
the predetermined values in step (3) are obtained by engineering practice and surveying; when counting and calculating the angle alpha from the cell azimuth normal direction in the step (3), forming a circle 360 DEG with the cell azimuth normal being 0 DEG, clockwise 180 DEG and anticlockwise 180 DEG, and setting the user point total count (alpha) on the counting angle alpha in a two-dimensional coordinate system with the vertical axis being y and the horizontal axis being x;
in the step (4), an analysis horizontal half-power lobe coverage sampling interval a is set to be b + n, wherein when b is larger than 0 degrees and smaller than or equal to 30 degrees, n is set to be 10 degrees; when b is more than 30 degrees and less than or equal to 140 degrees, n is 0 degrees; when the angle is 140 degrees and less than or equal to b and less than or equal to 180 degrees, the angle is-20 degrees.
2. The method according to claim 1, wherein in the step (4), when the horizontal half-power lobe angle of the target cell is 65 °, the horizontal half-power lobe angles on both sides of the normal line are respectively distributed at 32.5 °, i.e., -32.5 ° and 32.5 °, and the back lobe directions thereof are [ -180 °, -147.5 ° ] and [147.5 °, 180 °).
3. The method according to claim 1, wherein the time period for data collection in step (1) is 30 days OTT data or 3 days MDT minimization of drive test data; wherein the OTT data refers to data collected by OTT services of the communication industry; the MDT minimization of drive test data is data which is measured and reported by an operator through a commercial terminal or a test terminal of a signed user.
4. The method of claim 3, wherein the suppression ratio factor j in the step (5) is 0.3.
5. The method of claim 4, wherein the determination result outputted in step (6) comprises a cell identification code, an antenna type, a coverage scenario, a ratio k, and a pre-post suppression ratio factor j.
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| CN106707041A (en) * | 2015-11-17 | 2017-05-24 | 中国移动通信集团广东有限公司 | Antenna performance analysis method and device based on frequency sweep data |
| CN109151866A (en) * | 2018-11-27 | 2019-01-04 | 南京华苏科技有限公司 | The method for realizing antenna azimuth correction based on user data |
| CN110536310A (en) * | 2019-08-29 | 2019-12-03 | 南京华苏科技有限公司 | Method based on user data identification reverse connection of antenna |
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| US10448261B2 (en) * | 2018-01-09 | 2019-10-15 | P.I. Works U.S., Inc. | Method for capacity and coverage optimization of a multi-RAT network |
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| CN106707041A (en) * | 2015-11-17 | 2017-05-24 | 中国移动通信集团广东有限公司 | Antenna performance analysis method and device based on frequency sweep data |
| CN109151866A (en) * | 2018-11-27 | 2019-01-04 | 南京华苏科技有限公司 | The method for realizing antenna azimuth correction based on user data |
| CN110536310A (en) * | 2019-08-29 | 2019-12-03 | 南京华苏科技有限公司 | Method based on user data identification reverse connection of antenna |
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