CN112333746B - Method, device and equipment for determining network parameters - Google Patents
Method, device and equipment for determining network parameters Download PDFInfo
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- CN112333746B CN112333746B CN202011423969.1A CN202011423969A CN112333746B CN 112333746 B CN112333746 B CN 112333746B CN 202011423969 A CN202011423969 A CN 202011423969A CN 112333746 B CN112333746 B CN 112333746B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- 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
- H04W36/0011—Control or signalling for completing the hand-off for data sessions of end-to-end connection
- H04W36/0016—Hand-off preparation specially adapted for end-to-end data sessions
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- 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
- H04W36/00837—Determination of triggering parameters for hand-off
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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- H04W36/24—Reselection being triggered by specific parameters
- H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
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- 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
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Abstract
The embodiment of the application provides a method, a device and equipment for determining network parameters, wherein the method for determining the network parameters comprises the following steps: acquiring signaling data of a plurality of switching base stations switching in and out of a base station cell; calculating the position information of the switching base station relative to the base station cell according to the signaling data; screening out switching base stations with distance information not in a preset distance interval and screening out switching base stations with switching frequency of base station cells not reaching a preset switching threshold value; determining network parameters according to the screened position information of the switching base station and the switching frequency of the switching base station and the base station cell; the method and the device for determining the direction angle interval and the coverage radius of the cell signal of the base station can solve the technical problems that the accuracy of the direction angle interval and the coverage radius of the cell signal of the base station are poor and the timeliness is poor in the prior art.
Description
Technical Field
The present application relates to the field of communications, and in particular, to a method, an apparatus, and a device for determining a network parameter.
Background
At present, a base station cell is usually positioned according to the longitude and latitude of the position of the base station cell, and because the coverage area of the base station is large, a user may appear at any place in the coverage area of the base station, so that the accuracy of the determined position of the user is low, and therefore, in order to improve the accuracy of positioning the position of the user, it is particularly important to find a calculation aiming at the direction angle and the coverage radius of the base station cell. The traditional calculation of the direction angle and the coverage area of the cell of the base station needs to be carried out by a large amount of manpower and material resources, the steps of manually acquiring data are complicated, the accuracy is low, the network scale is further enlarged along with the commercial deployment of a fifth Generation mobile communication technology (5th Generation mobile networks or 5th Generation wireless systems, 5th-Generation, 5G), parameters (such as the direction angle interval and the coverage radius of the cell signal of the base station) in a base station information table are continuously adjusted in the process of optimizing and expanding the network, and the existing method determines the direction angle interval and the coverage radius of the cell signal of the base station to have poor accuracy and timeliness.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for determining network parameters, which can solve the technical problems that the accuracy of determining the direction angle interval and the coverage radius of a base station cell signal is poor and the timeliness is poor in the prior art.
In a first aspect, an embodiment of the present application provides a method for determining a network parameter, where the method includes:
acquiring signaling data of a plurality of switching base stations switching in and out of a base station cell;
calculating the position information of the switching base station relative to the base station cell according to the signaling data, wherein the position information comprises distance information;
screening out switching base stations with distance information not in a preset distance interval and screening out switching base stations with switching frequency of base station cells not reaching a preset switching threshold value;
and determining network parameters according to the screened position information of the switching base station and the switching frequency of the switching base station and the base station cell.
Further, in an embodiment, determining the network parameter according to the screened position information of the handover base station and the handover frequency of the handover base station and the base station cell includes:
determining the number of switching base stations in each preset direction angle interval of a base station cell according to the position information;
and determining a target direction angle interval in the network parameters according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cells.
Further, in an embodiment, the determining the network parameter according to the screened location information of the handover base station and the handover frequency of the handover base station and the base station cell further includes:
calculating the target number of the switching base stations in an area formed by each first preset distance interval and the target direction angle interval of the relative switching base stations according to the position information;
calculating the great circle distance between each switching base station and the base station cell in a first preset distance interval corresponding to the maximum number of targets;
and weighting the maximum great circle distance according to a first preset weight, and determining the maximum great circle distance as the signal coverage radius of the base station cell in the network parameters.
Further, in an embodiment, determining the number of handover base stations in each preset direction angle interval of the base station cell according to the location information includes:
constructing a two-dimensional plane four-quadrant by taking a base station cell as a central point, longitude as a horizontal axis and latitude as a vertical axis;
calculating angle information of each switching base station relative to the base station cell according to the position information;
and determining the number of the switching base stations in each preset direction angle interval according to the angle information of each switching base station relative to the base station cell.
Further, in an embodiment, determining a target direction angle interval in the network parameters according to the number of handover base stations in each preset direction angle interval and the handover frequency of the handover base stations and the base station cell includes:
calculating an evaluation value indicating the switching condition of the base stations in each preset direction angle interval according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cell;
and determining a target direction angle interval according to the evaluation value and the corresponding preset direction angle interval.
Further, in an embodiment, determining the target direction angle interval according to the evaluation value and the corresponding preset direction angle interval comprises:
calculating the mean and variance of the product of the evaluation value and the median of the corresponding preset direction angle interval;
calculating a target median of the target direction angle interval according to the mean value and the variance;
and determining a target direction angle interval according to the target median.
Further, in one embodiment, the evaluation value Ri is calculated by the following formula:
wherein, Ni is the number of the handover base stations, feq (i) is the handover frequency, α is the second preset weight, and β is the third preset weight.
Further, in one embodiment, the method further comprises:
when the angle spanned by the target direction angle interval is smaller than a preset minimum angle threshold, increasing the target direction angle interval by taking a first preset angle as a step length until the angle spanned by the target direction angle interval is larger than or equal to the preset minimum angle threshold;
and when the angle spanned by the target direction angle interval is larger than the preset maximum angle threshold, reducing the target direction angle interval by taking the first preset angle as the step length until the angle spanned by the target direction angle interval is smaller than or equal to the preset maximum angle threshold.
In a second aspect, an embodiment of the present application provides an apparatus for determining a network parameter, including:
the system comprises an acquisition module, a switching module and a switching module, wherein the acquisition module is used for acquiring signaling data of a plurality of switching base stations switching in and out of a base station cell;
the calculation module is used for calculating the position information of the switching base station relative to the base station cell according to the signaling data, and the position information comprises distance information;
the screening module is used for screening out switching base stations of which the distance information is not in a preset distance interval and screening out switching base stations of which the switching frequency with a base station cell does not reach a preset switching threshold value;
and the determining module is used for determining network parameters according to the screened position information of the switching base station and the switching frequency of the switching base station and the base station cell.
Further, in an embodiment, the determining module is specifically configured to:
determining the number of switching base stations in each preset direction angle interval of a base station cell according to the position information;
and determining a target direction angle interval in the network parameters according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cells.
In a third aspect, an embodiment of the present application provides a device for determining a network parameter, including: the network parameter determination method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the network parameter determination method provided by the embodiment of the application when being executed by the processor.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where an implementation program for information transfer is stored on the computer-readable storage medium, and when the implementation program is executed by a processor, the method for determining a network parameter provided in the embodiment of the present application is implemented.
According to the method, the device and the equipment for determining the network parameters, the network parameters can be calculated by applying the signaling data without manually acquiring information, so that the network parameters are determined more quickly; and the switching base stations with the switching frequency of the base station cell not reaching the preset switching threshold value are screened out, the interference of abnormal values is reduced, the switching position information of the switching base stations and the switching frequency of the switching base stations and the base station cell are comprehensively considered when the network parameters are determined, the actual switching condition of the base station cell and the switching base stations is closer to, and therefore the determined network parameters are more accurate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for determining a network parameter according to an embodiment of the present application;
fig. 2 is a schematic diagram of a location of a handover base station relative to a cell of a base station according to an embodiment of the present application;
fig. 3 is a schematic distribution diagram of preset direction angle intervals and the number of handover base stations according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for determining a network parameter according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a device for determining a network parameter according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Conventionally, there are three methods for determining the direction angle interval and the coverage radius of the cell signal of the base station:
the first method comprises the following steps: and manually checking the direction angle interval and the coverage radius of the base station cell by adopting a tower worker site station-by-station checking mode.
The method needs a large amount of manpower and material resources, the steps of collecting data are complicated, measurement errors are inevitably generated, time and labor are consumed, the cost is high, the obtained data can be influenced by human factors, and the stability is poor.
And the second method comprises the following steps: an antenna feeder test instrument (a measurement unit, a sensor and a Global Positioning System (GPS) module) is additionally arranged on an antenna platform, or a test terminal is additionally provided with a sensor or the hardware of the terminal is installed and the platform is built, so that the checking of the direction angle interval and the coverage radius of the base station cell is carried out.
If the test instrument is additionally installed, a large amount of installation cost is consumed, a large amount of resources are required to be invested in the maintenance and updating of the instrument, and in addition, the performance of the test instrument cannot be guaranteed under the influence of environments such as weather and temperature.
And the third is that: judging the azimuth angle and the azimuth angle accuracy of the base station antenna of the source cell by adopting a common software positioning algorithm or a field test positioning method, for example, based on the level distribution, carrier-to-interference ratio and distance relation between the base station cell and the adjacent cell; or based on data such as a large number of mobile phone measured level distribution, interference classification and the like in an Operation and Maintenance Center (OMC), calculating an antenna azimuth angle and deviation; or determining the direction angle interval and the coverage radius of the base station cell by using the linear distance of random N sampling points according to a triangulation algorithm combining the measurement report MR with a propagation model and a Received Signal Strength Indication (RSSI) wireless network distance correction algorithm.
The method is easily influenced by the extreme data, the error between the final measurement result and the actual condition is large, and the measurement result is not representative.
In order to solve the problem of the prior art, embodiments of the present application provide a method, an apparatus, and a device for determining a network parameter. The method comprises the steps of counting signaling data of a plurality of switching base stations switched into and out of a base station cell, calculating position information of the switching base stations relative to the base station cell according to the signaling data, then eliminating switching base stations with abnormal distances according to the position information, eliminating switching base stations with low switching frequency, and determining network parameters according to the screened position information of the switching base stations and the switching frequency of the switching base stations and the base station cell. The network parameters can be calculated by applying the signaling data without manually acquiring information, so that the network parameters are determined more quickly; and the switching base stations with the switching frequency of the base station cell not reaching the preset switching threshold value are screened out, the interference of abnormal values is reduced, the switching position information of the switching base stations and the switching frequency of the switching base stations and the base station cell are comprehensively considered when the network parameters are determined, the actual switching condition of the base station cell and the switching base stations is closer to, and therefore the determined network parameters are more accurate. First, a method for determining a network parameter provided in an embodiment of the present application is described below.
Fig. 1 is a flowchart illustrating a method for determining a network parameter according to an embodiment of the present application. As shown in fig. 1, the method may include the steps of:
s10, acquiring signaling data of a plurality of handover base stations switched into and out of the base station cell.
The method can acquire signaling data of a plurality of switching base stations switching in and out of a base station cell from a base station background, wherein the signaling data comprises the following signaling data of the base station cell and the switching base stations: identification and location latitude and longitude information.
And S12, calculating the position information of the switching base station relative to the base station cell according to the signaling data, wherein the position information comprises distance information.
Fig. 2 shows a schematic position diagram of the handover base station with respect to the base station cell, and as shown in fig. 2, if the position of the base station cell is the center point of four quadrants (lon0, lat0) of the two-dimensional plane, each handover base station position point surrounds the base station cell and is distributed in four quadrants, and the longitude and latitude of the handover base station are (lon1, lat1), and a single tangent is setThe distance between the position point of the base station to the cell of the base station and the included angle alpha follow the Pythagorean theorem and a distance formula of two points and one line:
therefore, the two-dimensional plane distance D between the handover base station and the base station cell is:
based on the principle, the position information of the switching base station relative to the base station cell can be calculated.
And S14, removing the switching base stations of which the distance information is not in the preset distance interval and removing the switching base stations of which the switching frequency with the base station cell does not reach the preset switching threshold value.
For example, the preset distance interval may be a circular ring region formed by a circle with a radius of 50 meters and a circle with a radius of 5000 meters around the base station cell, and the distance interval may be adjusted according to the actual configuration of the base station cell. The preset handover threshold may be set to 10 times, and the preset handover threshold may also be adjusted according to the actual handover situation between the base station cell and the handover base station.
And S16, determining network parameters according to the screened position information of the switching base station and the switching frequency of the switching base station and the base station cell.
In one embodiment, S16 may include:
and S160, determining the number of the switching base stations in each preset direction angle interval of the base station cell according to the position information.
The preset direction angle interval can be determined by the following steps: and determining a plurality of preset direction angle intervals by taking the second preset angle as a start, the third preset angle as an angle interval and the fourth preset angle as a step length. For example, if 0 ° is the second predetermined angle, 60 ° is the third predetermined angle, and 10 ° is the fourth predetermined angle, the plurality of predetermined direction angle sections are: 0-60 degrees, 10-70 degrees, 20-80 degrees, 30-90 degrees, … degrees and 350-50 degrees.
And S162, determining a target direction angle interval in the network parameters according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cells.
In one embodiment, S160 may include:
constructing a two-dimensional plane four-quadrant by taking a base station cell as a central point, longitude as a horizontal axis and latitude as a vertical axis; calculating angle information of each switching base station relative to the base station cell according to the position information; and determining the number of the switching base stations in each preset direction angle interval according to the angle information of each switching base station relative to the base station cell.
Distance D between point mapped to horizontal axis by switching base station and base station cell x Comprises the following steps:
and calculating the angle information of each switching base station relative to the base station cell according to the Pythagorean theorem:
if lon1 is lon0, lat1> lat0, (lon1, lat1) falls on the positive vertical axis, and the angle information θ is 90 °;
if lon1 is lon0 and lat1 is lat0, (lon1, lat1) falls on the negative vertical axis, and the angle information θ is 270 °;
if lon1> lon0 and lat1 equals lat0, (lon1, lat1) falls on the positive horizontal axis, and the angle information θ equals 0 °;
if lon1< lon0, lat1 equals lat0, (lon1, lat1) falls on the positive horizontal axis, and at this time, the angle information θ equals 180 °;
if lon1>lon0，lat1>lat0, then (lon1, lat1) falls on the first quadrant, when the angle information theta is 90-arccos (D) x /D)；
If lon1<lon0，lat1>lat0, then (lon1, lat1) falls on the second quadrant, when the angle information θ is 90 ° + arccos (D) x /D)；
If lon1<lon0，lat1<lat0, then (lon1, lat1) falls on the third quadrant, at which time the angle information θ is 270 ° -arccos (D) x /D)；
If lon1<lon0，lat1<lat0, then (lon1, lat1) fallsIn the fourth quadrant, the angle information θ is 270 ° + arccos (D) x /D)。
Fig. 3 shows a distribution diagram of the preset direction angle interval-number of handover base stations drawn based on a set of experimental data provided by the present application, and as shown in fig. 3, the number of handover base stations in each preset direction angle interval conforms to gaussian distribution, and the number of handover base stations in each preset direction angle interval can be determined by counting the number of each angle information distributed in each preset direction angle.
In one embodiment, S162 may include:
s1620, calculating an evaluation value indicating the switching condition of the base station in each preset direction angle interval according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cell.
In one embodiment, the evaluation value Ri may be calculated by the following formula:
wherein, Ni is the number of the handover base stations, feq (i) is the handover frequency, α is the second preset weight, and β is the third preset weight.
And S1622, determining a target direction angle interval according to the evaluation value and the corresponding preset direction angle interval.
In one embodiment, S1622 may include:
and calculating the mean and the variance of the product of the evaluation value and the median of the corresponding preset direction angle interval.
Mean μ and variance σ 2 Can be calculated by the following formulas respectively:
wherein, x is the product of the evaluation value Ri and the median of the corresponding preset direction angle interval, and m is the number of the product.
For example: the preset direction interval is 10 degrees to 70 degrees, and the number of the bits is 40 degrees.
And calculating the target median of the target direction angle interval according to the mean value and the variance.
And substituting the mean value and the variance into a cumulative distribution function formula to enable the cumulative distribution function value F (x; mu, sigma) to be equal to a preset value, wherein the preset value can be set to be 0.5, and then obtaining a corresponding x value, wherein the x value is the target median.
The cumulative distribution function is formulated as follows:
and determining a target direction angle interval according to the target median.
Specifically, the target median can be respectively added with or subtracted from half of the angle spanned by the preset direction angle interval to obtain two target angle values; and determining an angle interval formed by the two target angle values as a target direction angle interval.
In one embodiment, S16 may further include:
and calculating the target number of the switching base stations in an area formed by each first preset distance interval and the target direction angle interval of the relative switching base stations according to the position information.
For example, each of the first preset distance intervals may be 0m to 60m, 60m to 120m, and 120m to 180m, and the first preset distance interval may be adjusted according to the actual situation of the handover base station.
And calculating the great circle distance d between each switching base station and the base station cell in the corresponding first preset distance interval when the target number is the maximum.
And weighting the maximum great circle distance max (d) according to a first preset weight omega, and determining the maximum great circle distance as the coverage radius R of the base station cell signal in the network parameters.
R ═ max (d) × ω, ω is a real number.
In one embodiment, the method may further comprise:
and when the angle spanned by the target direction angle interval is smaller than the preset minimum angle threshold, increasing the target direction angle interval by taking the first preset angle as the step length until the angle spanned by the target direction angle interval is larger than or equal to the preset minimum angle threshold.
In an actual application scenario, because the direction angle intervals of the base station cells affected by the environment are not necessarily all 60 degrees, from the aspect of the number proportion distribution of the handover base stations of most base station cells, the number of the base stations is mainly concentrated in several adjacent direction angle intervals, so that the sum of the several adjacent direction angle intervals can be used as a preset minimum angle threshold.
And when the angle spanned by the target direction angle interval is larger than the preset maximum angle threshold, reducing the target direction angle interval by taking the first preset angle as the step length until the angle spanned by the target direction angle interval is smaller than or equal to the preset maximum angle threshold.
In an actual application scenario, since the direction angle interval of the base station cell is generally not greater than 120 °, the target direction angle interval should be less than or equal to 120 °, and the preset maximum angle threshold is set to 120 °.
According to the method, the situation of the base station switching in each direction angle of the base station cell is effectively quantified by constructing the two-dimensional plane four-quadrant taking the base station cell as the center, the angle of the switching base station relative to the base station cell is defined by using the Pythagorean theorem, the space expression characteristic is projected to be a two-dimensional plane coordinate, and the position relation of the switching base station relative to the base station cell is intuitively reflected. The method utilizes a Gaussian distribution fitting method, summarizes the performance characteristics through a large number of data rules, reduces the interference of abnormal values, is more objective and scientific in calculation method, and enables the calculated network parameters to be more accurate. The method and the device take the information of the switching base stations frequently switched with the base station cell as an information source, calculate the number of the weighted switching base stations in each preset direction angle interval, give weights by comprehensively considering the number of the switching base stations and the switching frequency, and can reflect the position of the switching base stations actually switched with the base station cell under the influence of objective conditions. According to the method and the device, data acquisition and operation are carried out in an automatic mode, timeliness of network parameter calculation is guaranteed, and time delay and errors caused by manual acquisition and management are effectively avoided; the method and the device for calculating the network parameters are based on a large amount of data, and information of the abnormal switching base station is screened out, so that the influence of extreme conditions on the data is reduced, and the output network parameters are more representative.
Fig. 1-3 illustrate a method for determining network parameters, and the following describes an apparatus provided in an embodiment of the present application with reference to fig. 4 and 5.
Fig. 4 is a schematic structural diagram of a device of a method for determining a network parameter according to an embodiment of the present application, where each module in the device shown in fig. 4 has a function of implementing each step in fig. 1, and can achieve the corresponding technical effect. As shown in fig. 4, the apparatus may include:
an obtaining module 40, configured to obtain signaling data of multiple handover base stations switching in and out of a base station cell.
The method can acquire signaling data of a plurality of switching base stations switching in and out of a base station cell from a base station background, wherein the signaling data comprises the following signaling data of the base station cell and the switching base stations: identification and location latitude and longitude information.
And a calculating module 42, configured to calculate, according to the signaling data, location information of the handover base station relative to the base station cell.
Wherein the location information comprises distance information.
Fig. 2 shows a schematic position diagram of a handover base station with respect to a base station cell, as shown in fig. 2, if the position of the base station cell is taken as the center point (lon0, lat0) of four quadrants of a two-dimensional plane, each handover base station position point surrounds the base station cell and is distributed in four quadrants, and the longitude and latitude of the handover base station are set as (lon1, lat1), and the distance and the included angle α between a single handover base station position point and the base station cell follow the pythagorean theorem and the two points are in lineDistance formula:
therefore, the two-dimensional plane distance D between the handover base station and the base station cell is:
based on the principle, the position information of the switching base station relative to the base station cell can be calculated.
And a screening module 44, configured to screen out a handover base station for which the distance information is not in the preset distance interval, and screen out a handover base station for which the handover frequency with the base station cell does not reach the preset handover threshold.
For example, the preset distance interval may be a circular ring region formed by a circle with a radius of 50 meters and a circle with a radius of 5000 meters around the base station cell, and the distance interval may be adjusted according to the actual configuration of the base station cell. The preset handover threshold may be set to 10 times, and the preset handover threshold may also be adjusted according to the actual handover situation between the base station cell and the handover base station.
And a determining module 46, configured to determine a network parameter according to the screened location information of the handover base station and the handover frequency of the handover base station and the base station cell.
In one embodiment, the determination module 46 may include:
a first determining unit 460, configured to determine, according to the location information, the number of handover base stations in each preset direction angle interval of the base station cell.
The preset direction angle interval can be determined by the following steps: and determining a plurality of preset direction angle intervals by taking the second preset angle as a start, the third preset angle as an angle interval and the fourth preset angle as a step length. For example, if 0 ° is the second predetermined angle, 60 ° is the third predetermined angle, and 10 ° is the fourth predetermined angle, the plurality of predetermined direction angle sections respectively are: 0-60 degrees, 10-70 degrees, 20-80 degrees, 30-90 degrees, … degrees and 350-50 degrees.
A second determining unit 462, configured to determine a target direction angle interval in the network parameters according to the number of the handover base stations in each preset direction angle interval and the handover frequency of the handover base station and the base station cell.
In an embodiment, the first determining unit 460 may specifically be configured to:
constructing a two-dimensional plane four-quadrant by taking a base station cell as a central point, longitude as a horizontal axis and latitude as a vertical axis; calculating angle information of each switching base station relative to the base station cell according to the position information; and determining the number of the switching base stations in each preset direction angle interval according to the angle information of each switching base station relative to the base station cell.
Distance D between point mapped to horizontal axis by switching base station and base station cell x Comprises the following steps:
and calculating the angle information of each switching base station relative to the base station cell according to the Pythagorean theorem:
if lon1 is lon0, lat1> lat0, (lon1, lat1) falls on the positive vertical axis, and the angle information θ is 90 °;
if lon1 is lon0 and lat1 is lat0, (lon1, lat1) falls on the negative vertical axis, and the angle information θ is 270 °;
if lon1> lon0 and lat1 equals lat0, (lon1, lat1) falls on the positive horizontal axis, and the angle information θ equals 0 °;
if lon1< lon0, lat1 equals lat0, (lon1, lat1) falls on the positive horizontal axis, and at this time, the angle information θ equals 180 °;
if lon1>lon0，lat1>lat0, then (lon1, lat1) falls on the first quadrant, when the angle information theta is 90-arccos (D) x /D)；
If lon1<lon0，lat1>lat0, then (lon1, lat1) falls on the second quadrant, when the angle information θ is 90 ° + arccos (D) x /D)；
If lon1<lon0，lat1<lat0, then (lon1, lat1) falls on the third quadrant, at which time the angle information θ is 270 ° -arccos (D) x /D)；
If lon1<lon0，lat1<lat0, then (lon1, lat1) falls on the fourth quadrant, when the angle information θ is 270 ° + arccos (D) x /D)。
Fig. 3 shows a distribution diagram of the preset direction angle interval-number of handover base stations drawn based on a set of experimental data provided by the present application, and as shown in fig. 3, the number of handover base stations in each preset direction angle interval conforms to gaussian distribution, and the number of handover base stations in each preset direction angle interval can be determined by counting the number of each angle information distributed in each preset direction angle.
In one embodiment, the second determining unit 462 may include:
a calculating subunit 4620, configured to calculate, according to the number of the handover base stations in each preset direction angle interval and the handover frequency of the handover base station and the base station cell, an evaluation value indicating a handover situation of the base station in each preset direction angle interval.
In one embodiment, the evaluation value Ri may be calculated by the following formula:
wherein, Ni is the number of the handover base stations, feq (i) is the handover frequency, α is the second preset weight, and β is the third preset weight.
A determining subunit 4622, configured to determine a target direction angle interval according to the evaluation value and its corresponding preset direction angle interval.
In one embodiment, the determining subunit 4622 may be specifically configured to:
and calculating the mean and the variance of the product of the evaluation value and the median of the corresponding preset direction angle interval.
Mean μ and variance σ 2 Can be calculated by the following formulas respectively:
wherein, x is the product of the evaluation value Ri and the median of the corresponding preset direction angle interval, and m is the number of the product.
For example: the preset direction interval is 10 degrees to 70 degrees, and the number of the bits is 40 degrees.
And calculating the target median of the target direction angle interval according to the mean value and the variance.
And substituting the mean value and the variance into a cumulative distribution function formula to enable the cumulative distribution function value F (x; mu, sigma) to be equal to a preset value, wherein the preset value can be set to be 0.5, and then obtaining a corresponding x value, wherein the x value is the target median.
The cumulative distribution function is formulated as follows:
and determining a target direction angle interval according to the target median.
Specifically, the target median can be respectively added with or subtracted from half of the angle spanned by the preset direction angle interval to obtain two target angle values; and determining an angle interval formed by the two target angle values as a target direction angle interval.
In one embodiment, the calculation module 42 may be further configured to:
and calculating the target number of the switching base stations in the area formed by each first preset distance interval and the target direction angle interval of the relative switching base stations according to the position information.
For example, each of the first preset distance intervals may be 0m to 60m, 60m to 120m, and 120m to 180m, and the first preset distance interval may be adjusted according to the actual situation of the handover base station.
And calculating the great circle distance d between each switching base station and the base station cell in the corresponding first preset distance interval when the target number is the maximum.
And weighting the maximum great circle distance max (d) according to a first preset weight omega, and determining the maximum great circle distance max (d) as the coverage radius R of the base station cell signal in the network parameters.
R ═ max (d) × ω, ω is a real number.
In an embodiment, the apparatus may further include a modification module 48, configured to increase the target direction angle interval by a first preset angle as a step length when the angle spanned by the target direction angle interval is smaller than a preset minimum angle threshold value, until the angle spanned by the target direction angle interval is greater than or equal to the preset minimum angle threshold value.
In an actual application scenario, because the direction angle intervals of the base station cells affected by the environment are not necessarily all 60 degrees, from the aspect of the number proportion distribution of the handover base stations of most base station cells, the number of the base stations is mainly concentrated in several adjacent direction angle intervals, so that the sum of the several adjacent direction angle intervals can be used as a preset minimum angle threshold.
The correcting module 48 is further configured to, when the angle spanned by the target direction angle interval is greater than the preset maximum angle threshold, decrease the target direction angle interval by taking the first preset angle as the step length until the angle spanned by the target direction angle interval is less than or equal to the preset maximum angle threshold.
In an actual application scenario, since the direction angle interval of the base station cell is generally not greater than 120 °, the target direction angle interval should be less than or equal to 120 °, and the preset maximum angle threshold is set to 120 °.
According to the method, the situation of the base station switching in each direction angle of the base station cell is effectively quantified by constructing the two-dimensional plane four-quadrant taking the base station cell as the center, the angle of the switching base station relative to the base station cell is defined by using the Pythagorean theorem, the space expression characteristic is projected to be a two-dimensional plane coordinate, and the position relation of the switching base station relative to the base station cell is intuitively reflected. The method utilizes a Gaussian distribution fitting method, summarizes the performance characteristics through a large number of data rules, reduces the interference of abnormal values, is more objective and scientific in calculation method, and enables the calculated network parameters to be more accurate. The method and the device take the information of the switching base stations frequently switched with the base station cell as an information source, calculate the number of the weighted switching base stations in each preset direction angle interval, give weights by comprehensively considering the number of the switching base stations and the switching frequency, and can reflect the position of the switching base stations actually switched with the base station cell under the influence of objective conditions. According to the method and the device, data acquisition and operation are carried out in an automatic mode, timeliness of network parameter calculation is guaranteed, and time delay and errors caused by manual acquisition and management are effectively avoided; the method and the device for calculating the network parameters are based on a large amount of data, and information of the abnormal switching base station is screened out, so that the influence of extreme conditions on the data is reduced, and the output network parameters are more representative.
Fig. 5 is a schematic structural diagram illustrating a device for determining a network parameter according to an embodiment of the present application. As shown in fig. 5, the apparatus may include a processor 501 and a memory 502 storing computer program instructions.
Specifically, the processor 501 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
In one example, the Memory 502 may be a Read Only Memory (ROM). In one example, the ROM may be mask programmed ROM, programmable ROM (prom), erasable prom (eprom), electrically erasable prom (eeprom), electrically rewritable ROM (earom), or flash memory, or a combination of two or more of these.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement the method in the embodiment shown in fig. 1, and achieves the corresponding technical effect achieved by the embodiment shown in fig. 1 executing the method, which is not described herein again for brevity.
In one example, the network parameter determining device may further include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.
The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
The network parameter determining device may execute the network parameter determining method in the embodiment of the present application, so as to achieve the corresponding technical effect of the network parameter determining method described in fig. 1.
In addition, in combination with the method for determining the network parameter in the foregoing embodiment, the embodiment of the present application may be implemented by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method for determining a network parameter of any of the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A method for determining network parameters, comprising:
acquiring signaling data of a plurality of switching base stations switching in and out of a base station cell;
calculating the position information of the switching base station relative to the base station cell according to the signaling data, wherein the position information comprises distance information;
screening out the switching base stations of which the distance information is not in a preset distance interval and screening out the switching base stations of which the switching frequency with the base station cell does not reach a preset switching threshold value;
determining the network parameters according to the screened position information of the switching base station and the switching frequency of the switching base station and the base station cell;
the determining the network parameters according to the screened position information of the handover base station and the handover frequency of the handover base station and the base station cell includes:
determining the number of the switching base stations in each preset direction angle interval of the base station cell according to the position information;
and determining a target direction angle interval in the network parameters according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cells.
2. The method for determining network parameters according to claim 1, wherein the determining the network parameters according to the screened location information of the handover base station and the handover frequency of the handover base station and the base station cell further comprises:
calculating the target number of the switching base stations in an area formed by each first preset distance interval relative to the switching base station and the target direction angle interval according to the position information;
calculating the great circle distance between each switching base station and the base station cell in the first preset distance interval corresponding to the maximum number of the targets;
and weighting the maximum great circle distance according to a first preset weight, and determining the maximum great circle distance as the coverage radius of the base station cell signal in the network parameters.
3. The method for determining network parameters according to claim 1, wherein the determining the number of the handover base stations in each preset direction angle interval of the base station cell according to the location information comprises:
constructing a two-dimensional plane four-quadrant by taking the base station cell as a central point, longitude as a horizontal axis and latitude as a vertical axis;
calculating angle information of each switching base station relative to the base station cell according to the position information;
and determining the number of the switching base stations in each preset direction angle interval according to the angle information of each switching base station relative to the base station cell.
4. The method for determining network parameters according to claim 1, wherein the determining a target direction angle interval in the network parameters according to the number of the handover base stations in each preset direction angle interval and the handover frequency of the handover base station and the base station cell comprises:
calculating an evaluation value indicating the switching condition of the base stations in each preset direction angle interval according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cell;
and determining the target direction angle interval according to the evaluation value and the corresponding preset direction angle interval.
5. The method as claimed in claim 4, wherein the determining the target direction angle section according to the evaluation value and the corresponding preset direction angle section comprises:
calculating the mean and variance of the product of the evaluation value and the median of the corresponding preset direction angle interval;
calculating a target median of the target direction angle interval according to the mean value and the variance;
and determining the target direction angle interval according to the target median.
6. The method for determining network parameters according to claim 4 or 5, wherein the evaluation value Ri is calculated by the following formula:
wherein, Ni is the number of the handover base stations, feq (i) is the handover frequency, α is a second preset weight, and β is a third preset weight.
7. The method for determining network parameters according to any of claims 1, 2, 4, wherein the method further comprises:
when the angle spanned by the target direction angle interval is smaller than a preset minimum angle threshold, increasing the target direction angle interval by taking a first preset angle as a step length until the angle spanned by the target direction angle interval is larger than or equal to the preset minimum angle threshold;
and when the angle spanned by the target direction angle interval is greater than a preset maximum angle threshold, reducing the target direction angle interval by taking a first preset angle as a step length until the angle spanned by the target direction angle interval is less than or equal to the preset maximum angle threshold.
8. An apparatus for determining network parameters, comprising:
the system comprises an acquisition module, a switching module and a switching module, wherein the acquisition module is used for acquiring signaling data of a plurality of switching base stations switching in and out of a base station cell;
a calculation module, configured to calculate, according to the signaling data, location information of the handover base station relative to the base station cell, where the location information includes distance information;
the screening module is used for screening the switching base stations of which the distance information is not in a preset distance interval and screening the switching base stations of which the switching frequency with the base station cell does not reach a preset switching threshold value;
a determining module, configured to determine the network parameter according to the screened location information of the handover base station and the handover frequency of the handover base station and the base station cell;
the determining module is specifically configured to:
determining the number of the switching base stations in each preset direction angle interval of the base station cell according to the position information;
and determining a target direction angle interval in the network parameters according to the number of the switching base stations in each preset direction angle interval and the switching frequency of the switching base stations and the base station cells.
9. A network parameter determination device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, implements the method of determining a network parameter according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon an implementation program of information transfer, which when executed by a processor implements the method of determining a network parameter according to any one of claims 1 to 7.
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