CN110831018B - Detection method, equipment and storage medium for LTE (Long term evolution) cell antenna feeder system - Google Patents
Detection method, equipment and storage medium for LTE (Long term evolution) cell antenna feeder system Download PDFInfo
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- CN110831018B CN110831018B CN201911113417.8A CN201911113417A CN110831018B CN 110831018 B CN110831018 B CN 110831018B CN 201911113417 A CN201911113417 A CN 201911113417A CN 110831018 B CN110831018 B CN 110831018B
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Abstract
The application relates to a detection method, equipment and a storage medium of an LTE (Long term evolution) cell antenna feeder system, wherein the method comprises the following steps: acquiring position information of a user in a first preset time period; determining the activity range of the user in a first preset time period according to the position information; acquiring relevant information of a cell covered by a user activity range, wherein the relevant information comprises a cell identifier and signal strength; determining an effective user group according to the activity range, the related information and the predetermined timing advance, wherein the effective user group is a group consisting of users of which the activity range at least covers two cells, the signal strength received by the activity range in the preset range is greater than a first preset value, the timing advance is equal to a second preset value; determining a correlation coefficient between each cell and a user in an effective user group in a first preset time period according to the correlation information; and determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient. The method and the device can reduce the evaluation cost and greatly improve the evaluation efficiency.
Description
Technical Field
The embodiment of the invention relates to the technical field of mobile communication, in particular to a detection method, equipment and a storage medium for an LTE (Long term evolution) cell antenna feeder system.
Background
Long Term Evolution (LTE) is the most common network standard at present, and coverage of an area LTE network is achieved by establishing an antenna feeder system, but unreasonable engineering parameters and abnormal states of the antenna feeder system directly affect network coverage quality, so that wireless network optimization personnel need to frequently evaluate states and engineering parameters of the antenna feeder system (for example, information such as a coverage scene of a cell corresponding to the antenna feeder system, an antenna feeder height, an antenna type, an azimuth angle, an antenna mechanical downtilt angle, an electronic downtilt angle, and the like), so as to take optimization measures in time when a problem is found.
In the related art, wireless network optimization personnel generally obtain drive test data through manual road testing, and judge whether the antenna feeder is abnormal or not by analyzing the drive test data. Or, the method of adopting the neighbor cell switching relation statistics of the LTE cell, utilizing different types of coverage point proportions to formulate an algorithm and the like to judge whether the state of the antenna feed system is abnormal or not is adopted.
However, the above method requires a large amount of labor, vehicle cost, and time cost, and the evaluation efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a detection method, equipment and a storage medium of an LTE (Long term evolution) cell antenna feeder system, which aim to solve the problems of high investment time, high labor and vehicle cost and poor evaluation efficiency of the detection antenna feeder system in the prior art.
A first aspect of an embodiment of the present invention provides a method for detecting an LTE cell antenna feeder system, including:
acquiring position information of a user in a first preset time period;
determining the activity range of the user in the first preset time period according to the position information;
acquiring relevant information of a cell covered by a user activity range, wherein the relevant information comprises a cell identifier and signal strength in the cell;
determining an effective user group according to the activity range, the related information and a predetermined timing advance, wherein the effective user group is a group consisting of users of which the activity range at least covers two cells, and the signal strength received by the activity range in the preset range is greater than a first preset value, the timing advance is equal to a second preset value;
determining a correlation coefficient between each cell and a user in the effective user group in the first preset time period according to the correlation information;
and determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient.
Optionally, the obtaining of the location information of the user within the first preset time period includes:
and acquiring the longitude and latitude of the position of the user at the integral point in the first preset time period.
Optionally, determining a moving range of the user in the first preset time period according to the location information includes:
taking the position of the user at the first integral point in the first preset time period as a central position;
calculating the straight-line distance between the position of the user at the integral point and the central position according to the longitude, the latitude and a first formula;
determining an area covered between the position corresponding to the longest straight line distance and the central position as an activity range of the user;
the first formula is:
wherein, m is n And the linear distance between the position of the user at the time of the whole point and the central position is represented, latx and Laty respectively represent the longitude and the latitude of the position of the user at the time of the whole point, a represents the difference value between the longitude of the central position and the longitude of the position of the user at the time of the whole point, and b represents the difference value between the latitude of the central position and the latitude of the position of the user at the time of the whole point.
Optionally, before determining an effective user group according to the activity range, the related information and a predetermined timing advance, the method further comprises:
determining a timing advance corresponding to each integral point of the user in the first preset time period;
the determining the timing advance corresponding to each integer time of the user in the first preset time period includes:
determining the distance between the user and the base station according to the longitude and latitude of the position of the user at the time of the integral point;
and determining the ratio of the distance to a third preset value as the corresponding timing advance of the user at the integral point.
Optionally, the acquiring information about a cell covered by an activity range of a user includes:
and acquiring the identification and the signal strength of the cell where the user is located at each integral point in the first preset time period, the identification and the signal strength of the adjacent cell of the cell where the user is located, and taking the cell with the maximum corresponding signal strength at each integral point as the leading cell of the user.
Optionally, the determining, according to the relevant information, a correlation coefficient between each cell and a user in the effective user group in the first preset time period includes:
determining a standard deviation corresponding to the signal intensity of each cell, a standard deviation corresponding to the frequency of each cell serving as the leading cell of the user, and a covariance between the signal intensity of each cell and the frequency of each cell serving as the leading cell of the user according to the signal intensity of the cell where the user is located, the signal intensity of an adjacent cell and the frequency of each cell serving as the leading cell of the user at all integer points in the first preset time period;
and determining a correlation coefficient between the user and each cell in the first preset time period according to the standard deviation corresponding to the signal strength of each cell, the standard deviation corresponding to the number of times that each cell is taken as a leading cell of the user, and the covariance.
Optionally, the method further comprises:
and determining a correlation coefficient between the users in the effective user group and each cell in a second preset time period, wherein the second preset time period is the same time period as the first preset time period in different working days.
Optionally, the determining, according to the correlation coefficient, an antenna feeder system with abnormal state in a cell includes:
subtracting the correlation coefficient between the user and each cell in a first preset time period and a second preset time period respectively, and taking an absolute value to obtain a correlation coefficient difference value corresponding to each cell;
and determining the antenna feeder system in the cell corresponding to the correlation coefficient difference value larger than the fourth preset value as the antenna feeder system with abnormal state.
A second aspect of the embodiments of the present invention provides a detection apparatus for an LTE cell antenna feeder system, including:
the first acquisition module is used for acquiring the position information of a user in a first preset time period;
the first processing module is used for determining the activity range of the user in the first preset time period according to the position information;
a second obtaining module, configured to obtain relevant information of a cell covered by a user activity range, where the relevant information includes a cell identifier and signal strength in the cell;
a second processing module, configured to determine an effective user group according to the activity range, the related information, and a predetermined timing advance, where the effective user group is a group in which the activity range is within a preset range, the received signal strength is greater than a first preset value, the timing advance is equal to a second preset value, and the activity range at least covers users in two cells;
a third processing module, configured to determine, according to the relevant information, a correlation coefficient between each cell and a user in the effective user group in the first preset time period;
and the system detection module is used for determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient.
A third aspect of the embodiments of the present invention provides a method for detecting an LTE cell antenna feeder system, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored in the memory, so that the at least one processor executes the steps of the method for detecting an LTE cell antenna feeder system according to the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for detecting an LTE cell antenna feeder system according to the first aspect of the embodiments of the present invention is implemented.
According to the invention, effective user groups with analytical value are extracted from multiple latitudes such as TA values, longitudes and latitudes, signal strength and the like, correlation coefficients between users in the effective user groups and each cell are obtained through calculation, and whether the state of the antenna feeder system of the cell is abnormal or not is detected through the variation range of the correlation coefficients of the same batch of effective user groups and each cell in different time periods.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a diagram illustrating an application scenario of a detection method of an LTE cell antenna feeder system according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a detection method of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention;
fig. 3 is a flowchart illustrating a detection method of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention;
fig. 4 is a schematic structural diagram of a detection apparatus of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention;
fig. 5 is a schematic structural diagram of a detection device of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention.
Detailed Description
In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Currently, wireless network optimization personnel generally obtain drive test data through manual road testing, and judge whether the phenomenon of abnormal state of an antenna feeder system exists or not through analyzing the drive test data. Or, the method of adopting the neighbor cell switching relation statistics of the LTE cell, utilizing different types of coverage point proportions to formulate an algorithm and the like to judge whether the state of the antenna feed system is abnormal or not is adopted. However, the above method requires labor, vehicle cost, and a lot of time cost, and the evaluation efficiency is low.
Therefore, in view of the above technical problems, the present invention provides a method for detecting an LTE cell antenna feeder system, which obtains location information of a user within a first preset time period; determining the activity range of the user in the first preset time period according to the position information; acquiring relevant information of a cell covered by a user activity range, wherein the relevant information comprises a cell identifier and signal strength in the cell; determining an effective user group with analysis value according to the activity range, the related information and a plurality of predetermined latitudes of timing advance, wherein the effective user group is a group consisting of users of which the activity range at least covers two cells, the signal intensity received by the activity range in the preset range is greater than a first preset value, the timing advance is equal to a second preset value, and the signal intensity received by the activity range in the preset range is greater than the first preset value; then, determining a correlation coefficient between each cell and a user in the effective user group within the first preset time period according to the correlation information; and finally, determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient. By the method, labor and vehicle cost are not required to be input, the state of the cell antenna feeder system can be rapidly evaluated in batches through the correlation coefficient between the user and the cell, evaluation cost is effectively reduced, and evaluation efficiency is greatly improved.
Fig. 1 is a diagram of an application scenario of a state evaluation method of an LTE cell antenna feeder system according to an exemplary embodiment of the present invention.
As shown in fig. 1, a network management platform 101 may obtain location information of a user 102 in a first preset time period, and then determine an activity range of the user in the first preset time period according to the location information; the network management platform 101 may also obtain relevant information of the cell 103 covered by the user activity range, where the relevant information includes a cell identifier and signal strength in the cell; and then determining an effective user group according to the activity range, the related information and a predetermined timing advance, wherein the effective user group is a group consisting of users whose activity ranges at least cover two cells, and the signal strength received by the activity range in a preset range is greater than a first preset value, and the timing advance is equal to a second preset value. The network management platform may determine, according to the relevant information, a correlation coefficient between a user in the effective user group and each cell within the first preset time period; and determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient.
Fig. 2 is a flowchart illustrating a detection method of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention.
As shown in fig. 2, the method provided in this embodiment takes the network management platform 101 of fig. 1 as an execution subject, and may include the following steps:
s201, acquiring position information of a user in a first preset time period;
the location information may be the longitude and latitude of the location of the user, the first preset time period may be a work time period of the user on the current network on a working day and a time period from 3 o 'clock to 5 o' clock in the early morning, and the work time period on the working day may be from 9 o 'clock to 18 o' clock.
Specifically, the administrator can precisely position, record and store the longitude and latitude of the location of the current network user in the working day time period and the time period from 3 o 'clock to 3 o' clock in the morning by using an Assisted Global Positioning System (AGPS) of the background network management platform. For example, the time period of the workday is 9 o ' clock to 18 o ' clock, and AGPS collects longitude and latitude information of the location of the user at9 o ' clock, 10 o ' clock, 8230, 17 o ' clock and 15 o ' clock, and 3 o ' clock, 4 o ' clock and 5 o ' clock in the morning.
The AGPS can utilize the signal of the mobile phone base station to cooperate with the traditional GPS satellite signal, so that the positioning speed is faster and more accurate, and the network management platform refers to a wireless system management platform, a core network management platform and various types of integrated network management platforms capable of storing user information in the mobile communication system. Each current network user has a user identifier, and the user identifier can uniquely identify the user, for example, an International Mobile Subscriber identity Number (IMSI) of a Mobile terminal used by the user, or a Mobile phone Number can be used as an identifier for uniquely identifying the user.
S202, determining the moving range of the user in the first preset time period according to the position information;
optionally, the position of the user at the first integer point in the first preset time period is taken as a central position;
for example, if the first preset time period is from 9 o 'clock to 18 o' clock of the working day, the position of the user at9 am is used as the center position.
Calculating the straight-line distance between the position of the user at the integral point and the central position according to the longitude, the latitude and a first formula;
the first formula is:
wherein, m is n And the linear distance between the position of the user at the time of the whole point and the central position is represented, latx and Laty respectively represent the longitude and the latitude of the position of the user at the time of the whole point, a represents the difference value between the longitude of the central position and the longitude of the position of the user at the time of the whole point, and b represents the difference value between the latitude of the central position and the latitude of the position of the user at the time of the whole point.
Specifically, a = Latx-Laty, b = Lunx-Luny; x and y respectively represent the whole time, for example, the longitude and latitude of the position of the user at9 am are (Lat 9, lun 9), the longitude and latitude of the position of the user at10 am are (Lat 10, lun 10), and so on. The straight-line distances between subsequent integer points such as (Lat 9, lun 9), (Lat 10, lun 10) and the like and the central positions (Lat 9, lun 9) are calculated respectively by taking the longitude and latitude (Lat 9, lun 9) of the central positions as a reference. For example, when the distance between the position of the user at9 points and the position of the user at10 points is calculated, x is 9, and y is 10; when calculating the distance between the position of the user at9 and the position of the user at 11, x is 9 and y is 11.
Determining an area covered between the position corresponding to the longest straight line distance and the central position as an activity range of the user;
specifically, the position of the user at9 points is taken as a center position, the longitude and latitude are (Lat 9, lun 9), wherein the straight line distance between the position (Lat 15, lun 15) of the user at15 points and the center position is the farthest, and the area covered between the center position and the position of the user at15 points is determined as the activity range of the user.
S203, acquiring relevant information of a cell covered by a user activity range, wherein the relevant information comprises a cell identifier and signal intensity in the cell;
optionally, the identifier and the signal strength of the leading cell where the user is located at each integer point in the first preset time period, and the identifier and the signal strength of the neighboring cell of the leading cell are obtained.
Specifically, the manager extracts resident cell information of the current network user in a first preset time period from Measurement Report (MR) data through a network management platform, including a dominant cell identifier and signal strength, and neighboring cells and signal strength. The MR data is measurement data that is periodically or sporadically reported by a mobile terminal of a user, and in order to ensure the synchronization of the MR data of each user, this embodiment only uses the measurement data that is periodically reported by the mobile terminal.
It should be noted that the MR data mainly includes two parts, namely, uplink measurement information and downlink measurement information, where the uplink measurement information includes uplink level intensity of the mobile phone, signal quality, and device transmission power; the downlink measurement information includes level strength, signal quality, device transmission power, signal strength of the neighboring cell, and the like of the leading cell, so this embodiment is to extract the leading cell identifier and signal strength, and the neighboring cell identifier and signal strength from the downlink measurement information.
S204, determining an effective user group according to the activity range, the related information and a predetermined timing advance, wherein the effective user group is a group consisting of users of which the activity range at least covers two cells, and the signal strength received by the activity range in a preset range is greater than a first preset value, the timing advance is equal to a second preset value;
wherein the first predetermined value may be-110 dBm; the second preset value may be 3.
Optionally, before this step, it is necessary to determine a timing advance corresponding to each user at an integral point in a first preset time period, where the determining includes:
determining the distance between the user and the base station according to the longitude and the latitude of the position of the user at the integral point;
and determining the ratio of the distance to a third preset value as the corresponding timing advance of the user at the integral point.
Wherein the third predetermined value may be 78.12.
The Timing Advance (TA) is essentially a negative offset between the starting time of receiving the downlink subframe and the time of transmitting the uplink subframe by the mobile terminal of the user. The base station can control the time when the uplink signals from different mobile terminals arrive at the base station by appropriately controlling the offset of each mobile terminal. For a mobile terminal far away from the base station, due to a large transmission delay with the base station, it is necessary to transmit uplink data earlier than for a mobile terminal near the base station. That is, the farther the mobile terminal is from the base station, the greater the TA value needs to be. Therefore, in the LTE system, the TA value may be generally used to indicate a distance between the mobile terminal of the user and the base station, where a TA value is 1, it indicates that the distance between the mobile terminal and the base station is about 78.12 meters, where a TA value is 2, it indicates that the distance between the mobile terminal and the base station is 2 × 78.12, that is, 156.24 meters, and so on, where a TA value n indicates that the distance between the mobile terminal of the user and the base station is n × 78.12 meters. Therefore, the distance between the user and the base station at each hour can be used to determine the TA value corresponding to the user at the hour, that is, the TA value can be obtained by dividing the distance between the user and the base station at the hour by 78.12.
For a specific method for calculating the distance between the mobile terminal of the user and the base station, reference may be made to the method for calculating the distance between the user at different locations and the center position in step S102, which is not described herein again.
In step S204, the preset range is the value range of the analyzable user determined by the manager according to the TA value, and the value of the value range is approximate to the distance represented by the TA value 1 in the LTE system.
Optionally, determining an effective user group according to the activity range, the related information, and a predetermined timing advance includes:
and eliminating the users with the activity range larger than the value range to obtain the analyzable users, so that the remaining analyzable users can be ensured not to cause the change of the TA value in the activity range.
Specifically, the distance represented by the TA value of 1 is about 78.12 meters, and according to the linear distance between the position of each integer point of the user and the center position obtained in step S102, the longest linear distance of the activity of each user in the first preset time period is further obtained, and the users with the longest linear distance greater than 78.12 meters are removed.
And (4) rejecting users whose signal strength of the dominant cell does not exceed-110 dBm at each integral point, because the part of the users are possibly positioned in special environments, such as high-rise closed spaces or basements and other places with serious signal blockage.
Removing users occupying only a single cell in a first preset time period, and finally only keeping users with TA values as third preset values; the third preset value can be determined according to the density of the current network base station, and the purpose of the third preset value is to ensure that the distance from the user in the effective user group to the leading base station is kept within a certain range, and prevent signal intensity attenuation caused by the fact that the user is too far away from the base station. Referring to the effective coverage range of a single cell of the LTE antenna feeder system, the third preset value may be 3, and the ta value is 3, which is suitable for most coverage scenarios of the whole network.
The elimination activity range is larger than the value range, the signal intensity of each integral point leading cell does not exceed-110 dBm, and after only users of a single cell are occupied in a first preset time period, a group formed by users with a TA value equal to 3 in the rest users is determined as a final analyzable effective user group, and an effective user group list is generated, wherein the list comprises user identification, integral point time information, TA values, leading cell identification, leading cell signal intensity, adjacent cell identification, adjacent cell signal intensity and other information, as shown in table 1.
Table 1: active user group list
It should be noted that the data contained in table 1 is only partial data of a part of users in the listed effective user group for better explaining the present embodiment.
S205, determining a correlation coefficient between each cell and a user in the effective user group within the first preset time period according to the correlation information;
optionally, determining a standard deviation corresponding to the signal strength of each cell, a standard deviation corresponding to the number of times that each cell serves as the dominant cell of the user, and a covariance between the signal strength of each cell and the number of times that each cell serves as the dominant cell of the user according to the signal strengths of the cells where the user is located, the signal strengths of the adjacent cells, and the number of times that each cell serves as the dominant cell of the user at all the time points within the first preset time period;
and determining a correlation coefficient between the user and each cell in the first preset time period according to the standard deviation corresponding to the signal strength of each cell, the standard deviation corresponding to the number of times that each cell is taken as a leading cell of the user, and the covariance.
Specifically, the standard deviation of the signal strength of each cell occupied by the user at the time of the user's hour is determined according to the signal strength of the cell in which the user is located, the signal strength of the adjacent cell and a second formula in all hours within a first preset time period;
wherein the second formula is:
and Sx represents a sample standard deviation of a sample X, and X represents the signal strength of a cell where users in the effective user group are located and adjacent cells when the users are at the same point in a first preset time period.
Determining a standard deviation corresponding to the times of each cell as the leading cell of the user according to the times of each cell as the leading cell of the user in the first preset time period and a third formula;
wherein the third formula is:
sy represents a sample standard deviation of a sample Y, and Y represents the number of times each cell is a user dominant cell.
Determining the covariance between the sample X and the sample Y according to the sample X, the sample Y and a fourth formula;
wherein the fourth formula is
Sxy represents the covariance between sample X and sample Y, i.e., the covariance between the signal strength of each cell and the number of times each cell is the dominant cell for the user.
It should be noted that n in the second formula, the third formula and the fourth formula represents the total amount of data of the user in the first preset time period.
And calculating a correlation coefficient between each user and each cell appearing in the effective user group list in a first preset time period through the obtained Sx, sy, sxy and a fifth formula, wherein the correlation coefficient represents the correlation degree between the user and the cell.
Wherein the fifth formula is
γ xy Represents the correlation coefficient between the user and the cell, and the value range is [ -1,1](ii) a 1 indicates that the two variables are completely linearly related, -1 indicates that the two variables are completely negatively related, 0 indicates that the two variables are uncorrelated, and the data approaches 0 indicating that the correlation is weaker.
Further, the method provided by this embodiment further includes:
and determining a correlation coefficient between the users in the effective user group and each cell in a second preset time period, wherein the second preset time period is the same time period as the first preset time period in different working days.
Specifically, the method in steps S101 to S105 is adopted to calculate the correlation coefficient between the users in the same effective user group and each cell time in the second preset time period. The second preset time period and the first preset time period belong to different working days, and the second preset time period is the same time period as the first preset time period, for example, the first preset time period is from 9 o 'clock to 18 o' clock in the 9/2-day of 2019, and the second preset time period is from 9 o 'clock to 18 o' clock in the 9/3-day of 2019.
And S206, determining the antenna feeder system with abnormal state in the cell according to the correlation coefficient.
Optionally, the correlation coefficients between the user and each cell in the first preset time period and the second preset time period are subtracted, and an absolute value is taken, so as to obtain a correlation coefficient difference value corresponding to each cell;
and determining the antenna feeder system in the cell corresponding to the correlation coefficient difference value larger than the fourth preset value as the antenna feeder system with abnormal state.
Wherein the fourth predetermined value may be 0.5.
Specifically, an excel data pivot table is established according to the correlation coefficient between users in an effective user group and each cell in a first preset time period and the correlation coefficient between the users in the effective user group and each cell in a second preset time period, the correlation coefficients of the same user and the same cell in different working days are subtracted, and then an absolute value is obtained, so that the correlation coefficient change value of each cell in different working days is obtained, the correlation coefficient change value can indicate whether an antenna feeder system in the cell changes in different working days, and when the correlation coefficient change value is larger than 0.5, the state of the antenna feeder system of the cell is determined to be abnormal.
In the embodiment, effective user groups with analytical value are extracted from multiple latitudes such as TA values, longitudes and latitudes, signal strength and the like, correlation coefficients between users in the effective user groups and each cell are obtained through calculation, whether the state of the antenna feeder system of the cell is abnormal or not is judged through the variation range of the correlation coefficients of the same group of effective user groups and each cell in different time periods, the state of the antenna feeder system of the cell can be rapidly evaluated in batches, the evaluation cost is effectively reduced, and the evaluation quality is greatly improved.
For better understanding of the present application, the whole flow of the detection method of the LTE cell antenna feeder system will be described below.
As shown in fig. 3, the detection method of the LTE cell antenna feeder system provided in this embodiment may include the following steps:
s301, the AGPS of the network management platform is used for accurately positioning longitude and latitude information of the position of the current network user in the working time period of the first working day and the full-time period from 3 o 'clock to 5 o' clock in the morning.
And S302, calculating the activity range of the user on the first working day according to the longitude and latitude information.
S303, extracting the TA value of the user from the network management platform.
S304, determining the value range of the analyzable user according to the TA value of the user.
And S305, rejecting the user group with the activity range larger than the value range.
S306, extracting the working time period in the first working day and the resident cell information of the current network user from 3 o 'clock to 5 o' clock in the morning from the MR data, including the dominant cell id and its signal strength, and the neighboring cell id and its signal strength.
S307, determining the TA value corresponding to the user at the integral point according to the activity range of the user on the first working day.
S308, rejecting user groups only occupying a single cell in the first working day, and only reserving the user groups with the TA value of n;
s309, rejecting users whose dominant cell signal strength does not exceed-110 dBm at each integral point, and finally obtaining an effective user group;
and S310, calculating a correlation coefficient between the users in the effective user group and each cell in the first working day.
And S311, selecting a second working day different from the first working day, selecting the same time period in the second working day as the first working day, and calculating the correlation coefficient between the users in the same batch of effective user groups and each cell in the second working day.
And S312, subtracting the correlation coefficient of each cell from each user in the effective user group on the first working day and the second working day respectively, and taking the absolute value to obtain a correlation coefficient change value, wherein the antenna feeder system in the cell with the correlation coefficient change value larger than 0.5 is the antenna feeder system with abnormal state.
For the steps not described in detail in this embodiment, please refer to the description of the steps in the above related method, which is not described herein again.
Fig. 4 is a detection apparatus of an LTE cell antenna feeder system according to another exemplary embodiment of the present invention.
As shown in fig. 4, the apparatus provided in this embodiment includes:
a first obtaining module 401, configured to obtain location information of a user within a first preset time period;
a first processing module 402, configured to determine, according to the location information, a moving range of the user in the first preset time period;
a second obtaining module 403, configured to obtain relevant information of a cell covered by a user activity range, where the relevant information includes a cell identifier and signal strength in the cell;
a second processing module 404, configured to determine an effective user group according to the activity range, the related information, and a predetermined timing advance, where the effective user group is a group formed by users whose activity ranges cover at least two cells, and the received signal strength of the activity range in a preset range is greater than a first preset value, and the timing advance is equal to a second preset value;
a third processing module 405, configured to determine, according to the relevant information, a correlation coefficient between a user in the effective user group and each cell in the first preset time period;
and a system detection module 406, configured to determine, according to the correlation coefficient, an antenna feeder system with an abnormal state in the cell.
For detailed functional description of each module in this embodiment, please refer to the description of this embodiment of the method, which will not be described in detail herein.
Fig. 5 is a schematic diagram of a hardware structure of a detection device of an LTE cell antenna feeder system according to an embodiment of the present invention. As shown in fig. 5, the detection apparatus 500 of the LTE cell antenna feeder system provided in this embodiment includes: at least one processor 501 and memory 502. The processor 501 and the memory 502 are connected by a bus 503.
In a specific implementation process, the at least one processor 501 executes computer-executable instructions stored in the memory 502, so that the at least one processor 501 executes the detection method of the LTE cell antenna feeder system in the foregoing method embodiment.
For a specific implementation process of the processor 501, reference may be made to the above method embodiments, which implement the similar principle and technical effect, and this embodiment is not described herein again.
In the embodiment shown in fig. 5, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory, and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
Another embodiment of the present application provides a computer-readable storage medium, where a computer executing instruction is stored, and when a processor executes the computer executing instruction, the method for detecting an LTE cell antenna feeder system in the foregoing method embodiment is implemented.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A detection method for an LTE cell antenna feed system is characterized by comprising the following steps:
acquiring position information of a user in a first preset time period;
determining the activity range of the user in the first preset time period according to the position information;
acquiring relevant information of a cell covered by a user activity range, wherein the relevant information comprises a cell identifier and signal strength in the cell;
determining an effective user group according to the activity range, the related information and a predetermined timing advance; the effective user group is a group consisting of users whose activity ranges at least cover two cells, wherein the signal strength received by the activity range in a preset range is greater than a first preset value, the timing advance is equal to a second preset value;
determining a correlation coefficient between each cell and a user in the effective user group in the first preset time period according to the correlation information;
determining an antenna feeder system with abnormal state in a cell according to the correlation coefficient;
the method further comprises the following steps:
determining a correlation coefficient between users in the effective user group and each cell within a second preset time period, wherein the second preset time period is the same time period as the first preset time period in different working days;
the antenna feed system for determining abnormal state in the cell according to the correlation coefficient comprises the following steps:
subtracting the correlation coefficient between the user and each cell in a first preset time period and a second preset time period respectively and taking an absolute value to obtain a correlation coefficient difference value corresponding to each cell;
and determining the antenna feeder system in the cell corresponding to the correlation coefficient difference value larger than the fourth preset value as the antenna feeder system with abnormal state.
2. The method according to claim 1, wherein the obtaining the location information of the user within the first preset time period comprises:
and acquiring the longitude and latitude of the position of the user at the integral point in the first preset time period.
3. The method of claim 2, wherein determining the range of motion of the user in the first preset time period according to the location information comprises:
taking the position of the user at the first integer point in the first preset time period as a central position;
calculating the straight-line distance between the position of the user at the integral point and the central position according to the longitude, the latitude and a first formula;
determining an area covered between the position corresponding to the longest straight line distance and the center position as the activity range of the user;
the first formula is:
wherein m is n And the linear distance between the position of the user at the time of the whole point and the central position is represented, latx and Laty respectively represent the longitude and the latitude of the position of the user at the time of the whole point, a represents the difference value between the longitude of the central position and the longitude of the position of the user at the time of the whole point, and b represents the difference value between the latitude of the central position and the latitude of the position of the user at the time of the whole point.
4. The method of claim 2, wherein prior to determining a valid user group based on the active range, the related information, and a predetermined timing advance, the method further comprises:
determining a timing advance corresponding to each integral point of the user in the first preset time period;
the determining the timing advance corresponding to each integer time of the user in the first preset time period includes:
determining the distance between the user and the base station according to the longitude and the latitude of the position of the user at the integral point;
and determining the ratio of the distance to a third preset value as the corresponding timing advance of the user at the integral point.
5. The method of claim 1, wherein the obtaining information about cells covered by the user's activity range comprises:
and acquiring the identifier and the signal strength of the leading cell where the user is located at each integral point in the first preset time period, and the identifier and the signal strength of the adjacent cell of the leading cell.
6. The method according to claim 5, wherein the determining the correlation coefficient between the users in the active user group and each cell within the first preset time period according to the correlation information comprises:
determining a standard deviation corresponding to the signal strength of each cell, a standard deviation corresponding to the frequency of each cell serving as the leading cell of the user, and a covariance between the signal strength of each cell and the frequency of each cell serving as the leading cell of the user according to the signal strength of the leading cell of the user, the signal strength of adjacent cells and the frequency of each cell serving as the leading cell of the user at all the integer points in the first preset time period;
and determining a correlation coefficient between the user and each cell in the first preset time period according to the standard deviation corresponding to the signal strength of each cell, the standard deviation corresponding to the number of times that each cell is taken as a leading cell of the user, and the covariance.
7. A detection device of an LTE cell antenna feeder system is characterized by comprising:
the first acquisition module is used for acquiring the position information of a user in a first preset time period;
the first processing module is used for determining the activity range of the user in the first preset time period according to the position information;
a second obtaining module, configured to obtain relevant information of a cell covered by a user activity range, where the relevant information includes a cell identifier and signal strength in the cell;
a second processing module, configured to determine an effective user group according to the activity range, the related information, and a predetermined timing advance, where the effective user group is a group in which a signal strength received by the activity range in a preset range is greater than a first preset value, the timing advance is equal to a second preset value, and the activity range covers at least two cells;
a third processing module, configured to determine, according to the relevant information, a correlation coefficient between each cell and a user in the effective user group in the first preset time period;
the system detection module is used for determining an antenna feeder system with abnormal state in the cell according to the correlation coefficient;
the third processing module is further configured to determine a correlation coefficient between each cell and a user in the effective user group within a second preset time period, where the second preset time period is the same time period as the first preset time period in different working days;
the system detection module is specifically configured to subtract correlation coefficients between the user and each cell in a first preset time period and a second preset time period respectively and take an absolute value to obtain a correlation coefficient difference value corresponding to each cell;
and determining the antenna feeder system in the cell corresponding to the correlation coefficient difference value larger than the fourth preset value as the antenna feeder system with abnormal state.
8. A detection device of an LTE cell antenna feeder system is characterized by comprising: at least one processor and memory;
the memory stores computer execution instructions;
the at least one processor executing the memory stored computer-executable instructions to cause the at least one processor to perform the LTE cell antenna feed system detection method of any of claims 1 to 6.
9. A computer-readable storage medium having stored thereon computer-executable instructions, which when executed by a processor, implement the LTE cell antenna feeder system detection method according to any one of claims 1 to 6.
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