CN113709796A - Wireless network performance analysis method, device and system - Google Patents

Wireless network performance analysis method, device and system Download PDF

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Publication number
CN113709796A
CN113709796A CN202110996728.4A CN202110996728A CN113709796A CN 113709796 A CN113709796 A CN 113709796A CN 202110996728 A CN202110996728 A CN 202110996728A CN 113709796 A CN113709796 A CN 113709796A
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airspace
base station
sector
data
unit
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赵广
宫继宝
刘清为
穆政
王向东
崔秀胜
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

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Abstract

The disclosure provides a wireless network performance analysis method, device and system, and belongs to the technical field of communication. The method comprises the following steps: acquiring user call ticket data and work parameter data of each base station, wherein the user call ticket data comprises: the longitude and latitude of user service initiation or service release, and the working parameters comprise the longitude and latitude of a base station sector; modeling an airspace model according to the longitude and latitude of the user ticket data; associating data information to each airspace unit in the airspace model, wherein the data information comprises work parameter data of a base station occupied by user ticket data; drawing a target image according to preset rules according to data information related to each airspace unit in the airspace model and the engineering parameter data of each base station; and analyzing the network performance of the network corresponding to the target image according to the image characteristics of the target image. The wireless network performance analysis method provided by the embodiment of the disclosure can solve the problem that the network performance cannot be tuned in time due to low accuracy of judgment of the network performance problem.

Description

Wireless network performance analysis method, device and system
Technical Field
The disclosure belongs to the technical field of communication, and particularly relates to a wireless network performance analysis method, device and system.
Background
With the development of communication technology, in order to provide better communication service for users, network performance can be analyzed, so that network performance can be adjusted and optimized in a targeted manner.
At present, a judgment method for judging network performance of a 4G/5G network mainly judges possible network performance problems by adopting a logic algorithm through sorting and analyzing test data, such as drive test data, background performance data and other wireless network performance data.
However, the above-mentioned determination method mainly analyzes a small amount of drive test data and base station performance data, and the data amount is limited, so that the accuracy of determination of many network performance problems is low, and the network performance cannot be optimized in time.
Disclosure of Invention
The embodiment of the disclosure aims to provide a wireless network performance analysis method, a wireless network performance analysis device and a wireless network performance analysis system, which can solve the problem that the network performance cannot be tuned in time due to low accuracy of judgment of a network performance problem.
In order to solve the technical problem, the present disclosure is implemented as follows:
in a first aspect, an embodiment of the present disclosure provides a method for analyzing wireless network performance, where the method includes: acquiring user call ticket data and work parameter data of each base station, wherein the user call ticket data comprises: the latitude and longitude of user service initiation or service release, wherein the working parameters comprise the latitude and longitude of a base station sector; modeling an airspace model according to the longitude and latitude of the user ticket data; associating data information to each airspace unit in the airspace model, wherein the data information comprises engineering parameter data of a base station occupied by user ticket data; drawing a target image according to preset rules according to the data information related to each airspace unit in the airspace model and the engineering parameter data of each base station; and analyzing the network performance of the network corresponding to the target image according to the image characteristics of the target image.
In a second aspect, an embodiment of the present disclosure provides a wireless network performance analysis apparatus, including: the system comprises a user call bill data acquisition module, a base station work parameter acquisition module, a spatial domain modeling module, an information correlation module and a network performance analysis module; the user call ticket data acquisition module is used for acquiring user call ticket data, and the user call ticket data comprises: latitude and longitude of user service initiation or release; the base station work parameter acquisition module is used for acquiring work parameter data of each base station, wherein the work parameter data comprises the longitude and latitude of a base station sector; the airspace modeling module is used for establishing an airspace model according to the longitude and latitude of the user ticket data; the information correlation module is used for correlating data information to each airspace unit in the airspace model, wherein the data information comprises base station parameter data occupied by user call bill data; the network performance analysis module is used for drawing a target image according to a preset rule according to the data information related to each airspace unit in the airspace model and the engineering parameter data of each base station, and analyzing the network performance of the network corresponding to the target image according to the image characteristics of the target image.
In a third aspect, the disclosed embodiments provide a wireless network performance analysis system, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the wireless network performance analysis method according to the first aspect.
In a fourth aspect, the disclosed embodiments provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the wireless network performance analysis method according to the first aspect.
In a fifth aspect, an embodiment of the present disclosure provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the wireless network performance analysis method according to the first aspect.
In a sixth aspect, the disclosed embodiments provide a computer program product containing instructions which, when run on a computer, cause the computer to perform the steps of the wireless network performance analysis method according to the first aspect.
In the embodiment of the disclosure, firstly, a wireless network performance analysis system can acquire user call ticket data and work parameter data of each base station; then, the wireless network performance analysis system can establish an airspace model according to the longitude and latitude of the user ticket data; and then, the wireless network performance analysis system is used for correlating data information of each airspace in the airspace model, drawing a target image according to a preset rule according to the data information correlated with each airspace unit in the airspace model and the engineering parameter data of each base station, and finally analyzing the network performance of the network corresponding to the target image according to the image characteristics of the drawn target image. The method and the device can take a large number of online users as testers, establish a space domain model based on a large number of user call ticket data, then associate call ticket positions and base station sector positions, and analyze the performance of the wireless network through image features presented by drawn images.
Drawings
Fig. 1 is a schematic diagram of a communication scenario provided by an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a method for analyzing wireless network performance according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a spatial domain model target reference point according to an embodiment of the present disclosure;
FIG. 4 is a schematic view of a spatial domain model provided by an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a position relationship between user ticket data and an airspace unit according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a target image provided by an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a wireless network performance analysis apparatus according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a wireless network performance analysis system according to an embodiment of the present disclosure;
fig. 9 is a hardware schematic diagram of a wireless network performance analysis system according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present disclosure are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the disclosure may be practiced other than those illustrated or described herein, and that the objects identified as "first," "second," etc. are generally a class of objects and do not limit the number of objects, e.g., a first object may be one or more. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
It is noted that the techniques described in the embodiments of the present disclosure are not limited to LTE (Long Term Evolution)/LTE-a (LTE-Advanced) systems, but may also be used in other wireless communication systems, such as CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), FDMA (Frequency Division Multiple Access), OFDMA (Orthogonal Frequency Division Multiple Access), SC-FDMA (Single-carrier Frequency-Division Multiple Access), and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described techniques can be used for both the above-mentioned systems and radio technologies, as well as for other systems and radio technologies. However, the following description describes the NR system for purposes of example, and NR terminology is used in much of the description below, although the techniques may also be applied to applications other than NR system applications, such as 6G (6th Generation ) communication systems.
Fig. 1 is a schematic view of a communication scenario provided in an embodiment of the present disclosure, which includes a server 100, at least one base station 101, and at least one UE 102. The server 100 may draw a target image by establishing a spatial domain model according to the work parameter data of each base station 101 and the user ticket data of the UE 102, and analyze the wireless network performance of the sector of each base station according to the image characteristics of the target image.
The wireless network performance analysis method provided by the embodiment of the present disclosure is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
Fig. 2 is a schematic flowchart of a method for analyzing wireless network performance according to an embodiment of the present disclosure, as shown in fig. 2, the method includes the following steps S201 to S205:
s201, a wireless network performance analysis system acquires user call ticket data and work parameter data of each base station.
The user call ticket data comprises: latitude and longitude of user service initiation or service release. The base station parameters include the latitude and longitude of the base station sector.
In the embodiment of the disclosure, the longitude and latitude can be accurate to six digits after the decimal point.
It should be noted that the wireless network performance analysis system can respectively obtain the user ticket data of the background and obtain the base station parameter data.
Illustratively, the user ticket data may further include a name of a base station occupied by the user service, an ID of the base station occupied, a name of a sector occupied, an ID of the sector occupied, and an occupied frequency (or a frequency point).
Specifically, the user ticket data can be obtained through a ticket report form generated by a background user through a wireless network system.
For example, the parameters of the base station may be in units of a single sector, and may include: the name of the base station, the name of the sector, the ID of the base station, the ID of the sector, the longitude of the base station, the latitude of the base station, the model of the antenna, the hanging height of the antenna, the pitch angle of the antenna, the azimuth angle of the antenna, the coverage area classification, and the like.
Specifically, the engineering parameters of the base station can be obtained through engineering design and engineering maintenance optimization work.
Optionally, the wireless network performance analysis system may select to extract data when the service is busy during data extraction, and collect a large amount of data for processing and analysis according to the processing capacity.
S202, the wireless network performance analysis system establishes an airspace model according to the longitude and latitude of the user ticket data.
It should be noted that, in the embodiment of the present disclosure, the space domain units may be divided according to the longitude and latitude in the user ticket data, and each space domain unit forms a space domain model.
It should be noted that the longitude and latitude of the user ticket data indicates the longitude and latitude initiated or released by the service corresponding to the ticket.
S203, the wireless network performance analysis system associates data information with each spatial domain unit in the spatial domain model.
And the data information related to the airspace unit comprises the work parameter data of the base station occupied by the user ticket data.
Specifically, the wireless network performance analysis system may associate data information based on the longitude and latitude of the user ticket data and the position of the airspace unit.
And S204, the wireless network performance analysis system draws a target image according to preset rules according to the data information related to each airspace unit in the airspace model and the engineering parameter data of each base station.
Illustratively, the wireless network performance analysis system can draw the target image according to a preset rule according to the position relation between the position of the empty domain unit of the user call ticket data in the empty domain model and the position of the base station sector occupied by the user call ticket data.
S205, the wireless network performance analysis system analyzes the network performance of the network corresponding to the target image according to the image characteristics of the target image.
Illustratively, the image characteristics of the target image may include the image characteristics of each sector of each base station after the mapping.
For example, in the embodiment of the present disclosure, according to the image features in the target image, whether the sector of the base station can provide the service may be analyzed; can analyze whether the sector (or the cell) of the adjacent base station has the modulo three interference; it is possible to analyze whether the signal of a sector (or cell) is over-covered or under-covered; it can analyze whether the antenna feeder of the sector (or the cell) is connected in error, and whether the included angle of the antenna feeder is too large or too small.
It can be understood that after the wireless network performance analysis system analyzes the network problem of the network, the fault prompt information can be output to prompt the sector and the base station with the fault, so that the maintenance personnel can quickly locate the fault and the fault point.
In the wireless network performance analysis method provided by the embodiment of the disclosure, firstly, a wireless network performance analysis system can acquire user call ticket data and work parameter data of each base station; then, the wireless network performance analysis system can establish an airspace model according to the longitude and latitude of the user ticket data; and then, the wireless network performance analysis system is used for correlating data information of each airspace in the airspace model, drawing a target image according to a preset rule according to the data information correlated with each airspace unit in the airspace model and the engineering parameter data of each base station, and finally analyzing the network performance of the network corresponding to the target image according to the image characteristics of the drawn target image. The method and the device can take a large number of online users as testers, establish a space domain model based on a large number of user call ticket data, then associate call ticket positions and base station sector positions, and analyze the performance of the wireless network through image features presented by drawn images.
Optionally, in the method for analyzing wireless network performance provided by the embodiment of the present disclosure, the target image is an image of a single frequency. The wireless network performance analysis system may analyze the network performance of one frequency at a time through one image, and may also analyze the network performance of multiple frequencies at a time through multiple images, which is not specifically limited in this disclosure.
Optionally, in the above S201, the wireless network performance analysis system may directly obtain the user ticket data of a single frequency for modeling analysis, or may first obtain the user ticket data of all frequencies for modeling, and respectively draw the images corresponding to each frequency under the condition of drawing the images.
Further, S202 described above can be implemented by the following steps: the wireless network performance analysis system uses the longitude and latitude of user ticket data with the target frequency to model a spatial domain model; and the target image is an image corresponding to the target frequency.
Based on the scheme, the wireless network performance analysis system can select the wireless network performance of a single frequency to analyze according to the requirement, can accurately and quickly analyze which network problems exist in the wireless network of the single frequency by combining the image characteristics of the target image corresponding to the single frequency, has high analysis speed, and can help maintenance personnel to quickly carry out troubleshooting and network optimization.
Optionally, in the method for analyzing wireless network performance provided in the embodiment of the present disclosure, the step S202 may be specifically executed through the following steps S22a to S22 c:
s22a, the wireless network performance analysis system determines a target reference point of the airspace model according to the longitude and latitude of the user ticket data.
Wherein, the target reference points of the spatial domain model comprise: a first reference point and a second reference point; the first reference point is a reference point formed by the minimum longitude and the minimum latitude of the user call ticket data, and the second reference point is a reference point formed by the maximum longitude and the maximum latitude of the user call ticket data.
The first reference point is a start reference point of the airspace model, and the second reference point is a reference point which cannot be exceeded by the altitude in the airspace model.
Specifically, the wireless network performance analysis system may first obtain a minimum longitude, a minimum latitude, a maximum longitude and a maximum latitude in the user ticket data; then, the minimum longitude and the minimum latitude are taken as the origin (first reference point) of the coordinate system, and the maximum longitude and the maximum latitude are taken as the edge points (second reference points) of the longitude and latitude.
Illustratively, fig. 3 is a schematic diagram of a spatial domain model target reference point according to an embodiment of the present disclosure. As shown in fig. 3, the abscissa represents longitude and the ordinate represents latitude, and the minimum longitude is defined as a0, the minimum latitude as B0, the maximum longitude as C0, and the maximum latitude as D0, with (a0, B0) as the first reference point and (C0, D0) as the second reference point.
S22b, the wireless network performance analysis system constructs each reference point of the airspace model according to the longitude increment value and the latitude increment value based on the target reference point of the airspace model.
Alternatively, the longitude increment value and the latitude increment value may be the same or different, and this is not particularly limited in this disclosure.
Note that the longitude increment values in the longitude direction and the latitude direction are different for increasing the same distance. In the geographic position, the longitude increases by T1 for every L meters of longitude, and the latitude increases by T2 for every L meters of latitude, T1 ≠ T2.
Illustratively, let T1 be the longitude increment value in the longitude direction, T2 be the latitude increment value in the latitude direction, T1 be the longitude value and the value of T2 be the latitude value. For the longitude direction, the longitude increment of each datum point from A0 is T1, and the longitude of the datum points is A in turn1＝A0+T1，A2＝A1+T1，...，An＝An-1+ T1; for the latitude direction, the increment of the latitude of each datum point starting from B0 is T2, the latitudes of the datum points are B1, B0 and T2, B2, B1 and T2m-1+T2。
S22c, the wireless network performance analysis system constructs a spatial domain unit of the spatial domain model according to the reference point of the spatial domain model.
Exemplarily, fig. 4 is a schematic diagram of a spatial domain model provided in an embodiment of the present disclosure. As shown in FIG. 4, An. ltoreq.C 0, Bm. ltoreq.D 0, An-1. ltoreq.A 0, Bm-1. ltoreq.B 0, n and m being positive integers. The specific modeling process comprises the following steps of firstly determining a benchmark (A0, B0) of the airspace model according to the determined minimum longitude and minimum latitude, and then determining A1, A2, An, B1, B2, An, Bm according to longitude increment values and latitude increment values; then, each reference point is marked according to the longitude and latitude increment, and a quadrangle formed by each 4 reference points is used as a spatial domain unit as shown in fig. 4. Thereby constructing a spatial domain model.
It should be noted that, in order to mark each spatial domain unit, one spatial domain unit may be identified by at least one reference point of each directional region. For example, the airspace unit is identified by a reference point of any one corner of each airspace unit, the airspace unit may also be identified by reference points on the left lower part and the right upper part of each airspace unit, and the airspace unit may also be identified by all reference points of the airspace unit, which is not specifically limited in this embodiment of the present disclosure.
Illustratively, the airspace unit is identified by the latitude and longitude of the lower left corner reference point and the latitude and longitude of the upper right corner reference point of each square area. Determining a location identity for each spatial domain unit, for example: (A0, B0)/(A1, B1), (An-1, B0)/(An, B1), (A0, Bm-1)/(A1, Bm), (An-1, Bm-1)/(An, Bm), etc. The specific representation may also be as shown in table 1.
TABLE 1
Lower left datum longitude Left lower reference point latitude Longitude of the upper right reference point Latitude of the upper right reference point
A0 B0 A1 B1
...... ...... ...... ......
An-1 B0 An B1
...... ...... ...... ......
A0 Bm-1 A1 Bm
...... ...... ...... ......
An-1 Bm-1 An Bm
Assuming that the length of the longitudinal direction of the airspace unit and the length of the latitudinal direction of the airspace model are equal and are both 50 meters, the longitudinal increase value of each airspace unit is T0 ═ 0.0005 degrees (the corresponding length value is accurate to meters), and the latitudinal increase value is T1 ═ 0.00045 (the corresponding length value is accurate to meters). The identification data (partial data) of the spatial domain unit is shown in table 2 below.
TABLE 2
Lower left corner longitude Lower left corner latitude Longitude of upper right corner Latitude of the upper right corner
116.915832 38.868075 116.916332 38.868525
116.915832 38.868525 116.916332 38.868975
116.915832 38.869425 116.916332 38.869875
116.915832 38.868975 116.916332 38.869425
116.915832 38.870325 116.916332 38.870775
116.915832 38.871675 116.916332 38.872125
116.915832 38.873475 116.916332 38.873925
116.915832 38.870775 116.916332 38.871225
116.915832 38.869875 116.916332 38.870325
116.915832 38.872125 116.916332 38.872575
116.915832 38.871225 116.916332 38.871675
Optionally, in the wireless network performance analysis method provided by the embodiment of the present disclosure, the longitude increment value and the latitude increment value are associated with a network scenario.
Illustratively, the network scenario is associated with a density of communications. For example, a network scenario may include: rural scenes, suburban scenes, urban scenes.
Different values may be set according to communication scenarios, and particularly may be related according to communication density, for example, a rural scene may be set to be not less than 50 meters, or not less than 100 meters, an urban scene may be set to be not less than 25 meters, or not less than 50 meters, and the like.
For convenience of description, in the space domain model diagram provided in the embodiment of the present disclosure, the increment size in the longitude direction and the increment size in the latitude direction are the same as an example for explanation.
Based on the scheme, the wireless network performance analysis system can establish an airspace model related to the longitude and latitude in the user ticket data based on the mathematical modeling mode, the wireless network performance analysis system can determine a target reference point of the airspace model according to the longitude and latitude of the user ticket data, then establish each reference point in the airspace model according to the target reference point, the longitude increment value and the latitude increment value, and then establish each airspace unit according to the reference point in the airspace model, so that a reference position can be provided for subsequent drawing of a target image, and the image characteristics of the target image can be conveniently analyzed.
Optionally, in the method for analyzing wireless network performance provided in the embodiment of the present disclosure, the step S203 may be specifically executed through the following steps S23a to S23 c:
s23a, the wireless network performance analysis system groups the user call ticket data according to the position relation of the airspace unit and the longitude and latitude of the user call ticket data.
Illustratively, the wireless network performance analysis system may group, in the user ticket data, the user ticket data whose latitude and longitude are in the first airspace unit when the service is initiated or released into the first airspace unit, and group, in the user ticket data whose latitude and longitude are in the second airspace unit when the service is initiated or released into the second airspace unit.
S23b, the wireless network performance analysis system preprocesses the user ticket data in each airspace unit.
It should be noted that the preprocessing of the dialogue list data may be performed according to the name of the base station occupied by the ticket data in the airspace unit, the ID of the occupied base station, the ID of the occupied sector, the occupied frequency, and the like.
S23c, the wireless network performance analysis system deletes the spatial domain unit with incomplete data in the preprocessed spatial domain model.
It should be noted that, the above-mentioned S23c and S23b do not limit the sequential execution order, for example, S23c may be executed before S23b or after S23b, and this is not specifically limited in the embodiment of the present disclosure.
It can be understood that if the airspace model does not include the user call ticket data, the airspace unit is determined as an airspace unit with incomplete data, and after the wireless network performance analysis system groups each user call ticket data and each airspace unit, the airspace unit without the call ticket data can be deleted, so that clear image features can be drawn subsequently.
Based on the scheme, the user call ticket data can be sorted for three times, the space domain unit corresponding to the user call ticket data is determined, then the data in the space domain unit is preprocessed, and the space domain unit without the user call ticket data is deleted, so that the space domain unit capable of representing the wireless network performance is obtained.
Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above-mentioned S23a may be specifically implemented by the following S23a1 or S23a 2:
and S23a1, if the longitude and latitude of the first user call ticket data are located in the first airspace unit, the wireless network performance analysis system associates the first user call ticket data with the first airspace unit.
The first spatial domain unit is any one spatial domain unit in the spatial domain model.
It can be understood that the first user phone bill data is not related to the first airspace unit if the latitude and longitude of the first user phone bill data is outside the first airspace unit.
And S23a2, if the longitude and latitude of the first user phone bill data are located on the common edge of the first airspace unit and the second airspace unit, the wireless network performance analysis system associates the first user phone bill data with the first airspace unit and associates the first user phone bill data with the second airspace unit.
Exemplarily, fig. 5 is a schematic diagram of a position relationship between user ticket data and an airspace unit according to an embodiment of the present disclosure. As shown in fig. 5 (a), if the longitude and latitude of the user P in the user ticket data 1 are located in the airspace unit (Ax, By)/(Ax +1, By +1), associating the user ticket data 1 with the airspace unit (Ax, By)/(Ax +1, By +1), and the user ticket data 1 does not belong to other airspace units; as shown in (b) of fig. 5, if the longitude and latitude of the user P in the user ticket data 1 are located outside the airspace unit (Ax, By)/(Ax +1, By +1), the user ticket data 1 is not related to the airspace unit (Ax, By)/(Ax +1, By + 1). As shown in (c) of fig. 5, if the longitude and latitude of the user P in the user ticket data 1 are located on the common edge of the airspace unit (Ax, By)/(Ax +1, By +1) and the airspace unit (Ax +1, By)/(Ax +2, By +1), the user ticket data 1 and the airspace unit (Ax, By)/(Ax +1, By +1) are associated, and the user ticket data 1 and the airspace unit (Ax +1, By)/(Ax +2, By +1) are associated.
Based on the scheme, the wireless network performance analysis system can associate the user call ticket data with the longitude and latitude in the airspace unit or on the edge of the airspace unit with the airspace unit, and associate the user call ticket data with the longitude and latitude outside the airspace unit with other airspace units, so that association relations can be quickly established between each call ticket data and each airspace unit, and grouping is completed.
Optionally, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the above-mentioned S23b may be performed by the following S23b1 and S23b 2:
s23b1, the wireless network performance analysis system classifies the user ticket data in the first airspace unit according to the sector.
It should be noted that, the wireless network performance analysis system classifies the user ticket data in the airspace unit according to the sector of the base station.
For example, if a part of the call ticket data in one airspace unit occupies the sector 1 of the base station 1, the part of the call ticket is classified into one class, if a part of the user call ticket data occupies the sector 1 of the base station 2, the part of the call ticket data is classified into one class, and if a part of the user call ticket data occupies the sector 2 of the base station 2, the part of the call ticket data is classified into one class.
S23b1, the wireless network performance analysis system determines the sector with the highest user ticket data occupation ratio as the base station sector corresponding to the first airspace unit.
It can be understood that, for the first airspace unit, the position of the user ticket data in the first airspace unit may be connected with the positions of the multiple sectors, and then the sector with the highest user ticket data occupation ratio in the multiple sectors is taken as the base station sector corresponding to the first airspace unit.
Exemplarily, the user telephone bill data connected with the sector 1 of the base station 1 in the airspace unit 1 accounts for 51% of the total user telephone bill data in the airspace unit 1, the user telephone bill data connected with the sector 3 of the base station 2 in the airspace unit 1 accounts for 30% of the total user telephone bill data in the airspace unit 1, and the user telephone bill data connected with the sector 2 of the base station 3 in the airspace unit 1 accounts for 19% of the total user telephone bill data in the airspace unit 1, and then it is determined that the sector 1 of the base station 1 is the base station sector corresponding to the airspace unit 1.
Specifically, if the base station sector with the highest user ticket data percentage includes multiple sectors, the wireless network performance analysis system selects one of the multiple sectors as the sector corresponding to the first airspace unit.
Illustratively, user ticket data of latitude and longitude in a first airspace unit when the service is initiated or released is associated with the first airspace unit. Table 3 is an exemplary table of an association relationship (a spatial domain unit is taken as an example). The left 4 columns are the identities of airspace units. The MRNum represents the total number of the call ticket data in the airspace unit, the occupation ratio represents that the user call ticket data with the sector ID of 48 accounts for 58% of the user call ticket data in the airspace unit, and other information represents the name, the ID and the longitude and latitude of the base station corresponding to the sector.
TABLE 3
Figure BDA0003234359260000131
Based on the scheme, the wireless network performance analysis system can classify the user call ticket data in each airspace unit based on the sector, and then the sector with the highest user call ticket data occupation ratio in each airspace unit is used as the sector of the base station corresponding to each airspace unit.
Optionally, in the method for analyzing wireless network performance provided in the embodiment of the present disclosure, the step S23b1 may be specifically executed through the following steps: and the wireless network performance analysis system classifies the user ticket data in the null field unit according to the name of the occupied base station, the ID of the occupied sector and the frequency point.
Specifically, the user ticket data with the same frequency point is classified into one class for processing.
It should be noted that, for a sector of a base station, the sector may be represented by a plurality of pieces of information, for example, a sector is represented by combining the name of the base station, the ID of the base station, and the ID of the occupied sector.
Based on the scheme, the wireless network performance analysis system can combine the occupied base station work parameters in the user call ticket data and the work parameter data of each base station, classify the user call ticket data in each airspace unit based on the sector, thereby obtaining the call ticket data which can be accurately represented to be used for carrying out network analysis by the sector granularity, so that the drawn image characteristics are more ready for representing the network performance of each sector.
Optionally, in the method for analyzing wireless network performance provided by the embodiment of the present disclosure, the step S204 may be performed by the following step S24 a:
s24a, the wireless network performance analysis system establishes a connection between the first airspace unit and the sector of the base station corresponding to the first airspace unit.
Different sectors of the base station adopt connecting lines with different colors, and the same sectors of different base stations adopt the same color.
Illustratively, the wireless network performance analysis system establishes a connection between the central position of the first airspace unit and a sector of the base station corresponding to the user ticket data in the first airspace unit. That is, the point where the central longitude and latitude of the first airspace unit is located establishes a connection line with the base station sector used by the first airspace unit.
It can be understood that the wireless network performance analysis system can connect the single base station sector and the single spatial domain unit as a unit to perform data association again, i.e. draw a target image.
For convenience of description, it is assumed that the base station includes 3 sectors, which are respectively a0 sector, a1 sector and a2 sector, and a line with a color of 1 is adopted when any spatial domain unit is connected with any 0 sector, a line with a color of 2 is adopted when any spatial domain unit is connected with any 1 sector, and a line with a color of 3 is adopted when any spatial domain unit is connected with any 2 sector.
Illustratively, a base station may be specified to have an orange line for sector 0, a green line for sector 1, and a blue line for sector 2.
It should be noted that, in practical applications, the number of sectors of the base station may be more than 3 or less than 3, and this is not specifically limited in this disclosure.
Based on the scheme, the wireless network performance analysis system connects the airspace unit with the sector of the base station after determining the sector of the base station correspondingly used by each airspace unit, so that the image characteristics of each airspace unit and the sector of the base station in the airspace model can be obtained, and the wireless network performance analysis system analyzes the wireless network performance according to the obtained image characteristics of the connection line of each sector of the base station and the airspace unit.
Optionally, the image features of the target image comprise at least one of: the color of the connecting line, the length of the connecting line and the coverage area of the connecting line.
It should be noted that, the wireless network performance analysis system may determine whether there is an abnormality in the color of a sector by combining the colors of the connection lines of the sectors in the image; the length of the connecting line can also be combined to determine whether the signal coverage of one sector is normal; and determining whether the antenna feed included angle of the sector is normal or not and whether the sector has the problems of modulo three interference with the same type of sectors of adjacent base stations or not by combining the coverage area of the connecting line.
It will be appreciated that the wireless network performance analysis system may analyze whether a problem exists with the wireless network of the sector or the sector and the adjacent sector in conjunction with the color of the line of each sector in the target image, the difference in the length of the line with the adjacent sector, the coverage area of the line with the adjacent sector, etc.
Based on the scheme, after an airspace model is built through user ticket data, the user ticket data and base station parameters are associated through the airspace model, and a target image is obtained through drawing, different wireless network problems can be separated out by combining the colors, orientations, area ranges and orientation of included angles of areas of connecting lines in the target image, various network problems can be found through one-time data analysis of image characteristics, the network performance problems are presented accurately and clearly through graphic presentation, and compared with the problem judgment accuracy rate caused by the fact that the limited drive test data quantity is analyzed in the related technology, the analysis data adopted by the method can be communication data of all users of the existing network, the presentation category, depth and breadth of the problems are obviously improved, and the presentation of the problems is more comprehensive and accurate.
Optionally, in the method for analyzing wireless network performance provided in the embodiment of the present disclosure, the step S205 may be specifically executed by the following steps S25a, S25b, S25c, S25d, S25e, S25f, or S25 g:
s25a, if the sector connection line color of the first base station in the target image is not matched with the preset color, the wireless network performance analysis system determines that the sector antenna feeder connection direction of the first base station has an error.
Illustratively, if one sector of one base station in the target image is a1 sector according to the specification, and the other sector is a2 sector according to the specification, but in the target image, a line connecting the position of the original 1 sector and the spatial domain unit is green, and a line connecting the position of the original 2 sector and the spatial domain unit is blue, it indicates that the antenna feeds of the 1 sector and the 2 sector are reversed. The antenna feeds of 1 sector and 2 sectors can be adjusted.
Fig. 6 is a schematic diagram of a target image provided in an embodiment of the present disclosure, and for convenience of description, different line colors are represented by different types of line segments, corresponding to different sectors. Assuming that fig. 6 includes 7 base stations, which are a base station, B base station, C base station, D base station, E base station, F base station, and G base station, respectively, it can be seen from fig. 6 that the color of the segment of sector 1 and the color of the segment of sector 2 of the E base station are different from the color of the appointed segment, which indicates that the antenna feed of sector 1 and sector 2 of the E base station is reversed.
As can be seen from fig. 6, the wireless network of sector 1 and sector 2 can provide services, but the antenna feeds of sector 1 and sector 2 are connected inversely, so that the problem of whether the antenna feed direction is connected incorrectly can be quickly determined according to the orientation of the color of the line in the figure, and the detection success rate of the problem can reach 100%.
S25b, if the areas of the target sector of the first base station and the target sector of the second base station in the target image covering the same area are larger than a preset threshold, the wireless network performance analysis system determines that the target sector of the first base station and the target sector of the second base station have the mode three interference.
In the embodiment of the present disclosure, the preset threshold may be set according to an empirical value, which is not particularly limited in the embodiment of the present disclosure.
For example, if the target sector of the first base station and the target sector of the second base station, whose connecting lines are blue, cover the same area in a large area and overlap, it is determined that modulo three interference exists, and optimization may be performed.
As can be seen from fig. 6, if there is a large overlap area between the connection line of the sector 1 of the base station C and the airspace unit and between the connection line of the sector 1 of the base station D and the airspace unit, it can be determined that the modulo three interference exists between the sector 1 of the base station C and the sector 1 of the base station D.
S25c, if the length of the connection line between the first sector and the airspace unit in the target image is larger than the length of the connection line between the adjacent sector and the airspace unit, the wireless network performance analysis system determines that the signal of the first sector is over-covered.
For example, referring to fig. 6, if the connection length between the sector 0 of the base station a and the spatial domain unit is greater than the connection length between the sector 2 of the base station a and the spatial domain unit, it may be determined that the signal of the sector 0 of the base station a is over-covered.
S25d, if the connecting line length of the first sector and the airspace unit in the target image is smaller than the connecting line length of the adjacent sector and the airspace unit, the wireless network performance analysis system determines that the signal of the first sector is under-covered.
For example, referring to fig. 6, if the connection length of sector 1 of base station a and the spatial domain unit is smaller than the connection length of sector 2 of base station a and the spatial domain unit, it may be determined that the signal of sector 1 of base station a is under-covered.
S25e, if the included angle between the first sector in the target image and the connection line coverage area of the airspace unit is out of the preset included angle range, the wireless network performance analysis system determines that the antenna feeder included angle of the base station of the first sector has a problem.
Specifically, if the included angle of the first sector in the target image is obviously too large or too small compared with the included angle of the adjacent sector, the antenna feed included angle corresponding to the first sector has a problem.
It should be noted that, for a base station including 3 sectors, the preset included angle of each sector is in the range of [90 °, 120 ° ]. If the included angle of the sector 1 is smaller than 90 degrees or larger than 120 degrees, the antenna feed included angle of the sector 1 is determined to have a problem.
It should be noted that, if there is a problem in the antenna feed angle of one sector, there is at least one sector in which there is a problem in the antenna feed angle in the sectors adjacent to the sector.
For example, if the included angle of sector 1 is too large, the included angle of sector 1 is too small when the included angle of sector 0 is normal or too large.
Referring to fig. 6, the included angle between the sector 1 of the base station F and the connection line of the airspace unit is significantly smaller than the included angle between the sector 0 and the connection line of the airspace unit and the included angle between the sector 2 and the connection line of the airspace unit, so that it can be determined that the antenna feed included angle of the sector 1 of the base station F is too small, and the included angle between the sector 0 of the base station F and the connection line of the sector 1 and the airspace unit is significantly larger than the included angle between the sector 2 and the connection line of the airspace unit, so that it can be determined that the antenna feed included angle of the sector 0 of the base station F is too small.
S25f, if the first sector in the target image is not connected with the line, the wireless network performance analysis system determines that the first sector has a fault.
It can be understood that if a sector in the target image is not connected to the airspace unit, that is, the sector has a network failure, the UE cannot use the service provided by the wireless network of the sector, and therefore, the wireless network performance analysis system may output a prompt message of the sector failure.
For example, referring to fig. 6, if sector 0 of base station C is not connected to the spatial domain unit, it indicates that sector 0 of base station C cannot provide wireless network service, and sector 0 has a failure.
S25g, if each sector of the first base station in the target image is not connected with a wire, the wireless network performance analysis system determines that the first base station is in fault.
It can be understood that, if each sector of one base station in the target image is not connected to the airspace unit, a network failure occurs in each sector of the base station, which indicates that the base station cannot provide network service for the UE, that is, the base station fails, for example, due to power failure, and the wireless network performance analysis system may output a prompt message of the base station failure.
For example, referring to fig. 6, each sector of the base station G is not connected to a spatial domain unit, and the entire sector of the base station G cannot provide wireless network service for users, so that it can be determined that the base station G is faulty.
The method for analyzing the wireless network performance provided by the embodiment of the disclosure can analyze the corresponding relationship between the position information reported by the background network user of the base station and the position information of the sector of the base station through statistics, then perform mathematical modeling through the airspace unit of the user call bill, establish the internal relation between the user and the sector (or cell) of the base station by adopting the line segments with different colors in a graphic presentation mode, and then analyze and judge whether the wireless network has the network optimization problems that the network performance is influenced by the modulo three interference, the signal over-coverage, the signal under-coverage, the antenna feed connection error, the antenna feed included angle is too large or too small, the sector or the base station fault and the like through the image characteristics presented in the image. The network performance analysis method which is time-saving, labor-saving, rich in functions, accurate, effective, visual and systematic can be provided by mutually combining technologies such as big data analysis, image presentation and the like, the problem of integrity of the network can be comprehensively and systematically analyzed, so that the network can be optimized more accurately and rapidly, a drive test or a fixed-point test for each base station is not needed, the labor cost is reduced, and the fault determination time is shortened.
It should be noted that, in the wireless network performance analysis method provided in the embodiment of the present disclosure, the execution subject may also be a wireless network performance analysis device, or a control module in the wireless network performance analysis device for executing the wireless network performance analysis method. In the embodiment of the present disclosure, a method for a wireless network performance analysis device to perform wireless network performance analysis is taken as an example to describe the wireless network performance analysis device provided in the embodiment of the present disclosure.
Fig. 7 is a schematic diagram of a wireless network performance analysis apparatus according to an embodiment of the present disclosure, and as shown in fig. 7, a wireless network performance analysis apparatus 700 includes: a user call bill data acquisition module 701, a base station work parameter acquisition module 702, a spatial domain modeling module 703, an information association module 704 and a network performance analysis module 705; the user ticket data obtaining module 701 is configured to obtain user ticket data, where the user ticket data includes: latitude and longitude of user service initiation or release; the base station work parameter acquiring module 702 is configured to acquire work parameter data of each base station, where the work parameter data includes a longitude and a latitude of a base station sector; the airspace modeling module 703 is used for establishing an airspace model according to the longitude and latitude of the user ticket data; the information association module 704 is configured to associate data information with each airspace unit in the airspace model, where the data information includes base station parameter data occupied by user ticket data; the network performance analysis module 705 is configured to draw a target image according to a preset rule according to data information associated with each airspace unit in the airspace model and the engineering parameter data of each base station, and analyze the network performance of a network corresponding to the target image according to image characteristics of the target image.
Optionally, the airspace modeling module is specifically configured to determine a target reference point of an airspace model according to the longitude and latitude of the user ticket data; based on the target reference points of the airspace model, building each reference point of the airspace model according to the longitude increment value and the latitude increment value; constructing a space domain unit of the space domain model according to the reference point of the space domain model; wherein the target reference points of the spatial domain model comprise: a first reference point and a second reference point; the first reference point is a reference point formed by the minimum longitude and the minimum latitude of the user call ticket data, and the second reference point is a reference point formed by the maximum longitude and the maximum latitude of the user call ticket data.
Optionally, the longitude increment value and the latitude increment value are associated with a network scenario.
Optionally, the information association module is specifically configured to group the user ticket data according to the latitude and longitude of the user ticket data and the position relationship of the airspace unit; preprocessing the user ticket data in each airspace unit; and deleting the spatial domain unit with incomplete data in the preprocessed spatial domain model.
Optionally, the information association module is specifically configured to associate the first user phone bill data with the first airspace unit if the longitude and latitude of the first user phone bill data are located in the first airspace unit; or if the longitude and latitude of the first user phone bill data are located on the common edge of the first airspace unit and the second airspace unit, associating the first user phone bill data with the first airspace unit, and associating the first user phone bill data with the second airspace unit; wherein the first spatial domain unit is any one spatial domain unit in the spatial domain model.
Optionally, the information association module is specifically configured to classify the user ticket data in the first airspace unit according to a base station sector; and determining the sector with the highest user ticket data ratio as the base station sector corresponding to the first airspace unit.
Optionally, the information association module is specifically configured to select one of the sectors as the sector corresponding to the first airspace unit if the base station sector with the highest user ticket data percentage includes multiple sectors.
Optionally, the network performance analysis module is specifically configured to establish a connection between the first airspace unit and a base station sector corresponding to the first airspace unit; different sectors of the base station adopt connecting lines with different colors, and the same sectors of different base stations adopt the same color.
Optionally, the image features of the target image comprise at least one of: the color of the connecting line, the length of the connecting line and the coverage area of the connecting line.
Optionally, the network performance analysis module is specifically configured to determine that an error exists in the sector antenna feeder connection direction of the first base station if the sector connection color of the first base station in the target image is not matched with a preset color.
Optionally, the network performance analysis module is specifically configured to determine that there is modulo three interference in the target sector of the first base station and the target sector of the second base station if areas of the target sector of the first base station and the target sector of the second base station in the target image that cover the same area are greater than a preset threshold.
Optionally, the network performance analysis module is specifically configured to determine that the signal of the first sector is over-covered if a connection length between the first sector and the airspace unit in the target image is greater than a connection length between an adjacent sector and the airspace unit; or if the connecting line length of the first sector and the airspace unit in the target image is smaller than the connecting line length of the adjacent sector and the airspace unit, determining that the signal of the first sector is under-covered.
Optionally, the network performance analysis module is specifically configured to determine that an antenna feed included angle of a base station of the first sector is problematic if a difference between an included angle of a connection coverage area of the first sector and the airspace unit in the target image and a preset included angle is outside a preset range.
Optionally, the network performance analysis module is specifically configured to determine that the first sector has a fault if the first sector in the target image has no connection line; or if each sector of the first base station in the target image has no connecting line, determining that the first base station has a fault.
Optionally, the airspace modeling module is specifically configured to model an airspace model according to the longitude and latitude of the user ticket data with the use frequency as the target frequency; and the target image is an image corresponding to the target frequency.
The embodiment of the disclosure provides a wireless network performance analysis device, which can obtain user call ticket data and working parameter data of each base station; then, the wireless network performance analysis device can establish an airspace model according to the longitude and latitude of the user ticket data; and then, the wireless network performance analysis system is used for correlating data information of each airspace in the airspace model, drawing a target image according to a preset rule according to the data information correlated with each airspace unit in the airspace model and the engineering parameter data of each base station, and finally analyzing the network performance of the network corresponding to the target image according to the image characteristics of the drawn target image. The method and the device can take a large number of online users as testers, establish a space domain model based on a large number of user call ticket data, then associate call ticket positions and base station sector positions, and analyze the performance of the wireless network through image features presented by drawn images.
The wireless network performance analysis apparatus 700 provided in the embodiment of the present disclosure can implement each process implemented by the method embodiments in fig. 1 to fig. 6, and is not described herein again to avoid repetition.
Optionally, as shown in fig. 8, an embodiment of the present disclosure further provides a wireless network performance analysis system 800, which includes a processor 801, a memory 802, and a program or an instruction stored in the memory 802 and executable on the processor 801, where the program or the instruction, when executed by the processor 801, implements each process of the wireless network performance analysis method embodiment, and can achieve the same technical effect, and in order to avoid repetition, it is not described herein again.
It should be noted that the wireless network performance analysis system 900 shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of the embodiments of the present disclosure.
As shown in fig. 9, the wireless network performance analysis system 900 includes a Central Processing Unit (CPU) 901 that can perform various appropriate actions and processes in accordance with a program stored in a ROM (Read Only Memory) 902 or a program loaded from a storage section 908 into a RAM (Random Access Memory) 903. In the RAM 903, various programs and data necessary for system operation are also stored. The CPU 901, ROM 902, and RAM 703 are connected to each other via a bus 904. An I/O (Input/Output) interface 905 is also connected to the bus 904.
The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including a CRT (Cathode Ray Tube), LCD (Liquid Crystal Display), and the like, a speaker, and the like; a storage portion 908 including a hard disk and the like; and a communication section 909 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. When the computer program is executed by the central processing unit (CPU 901), various functions defined in the system of the present application are executed.
The embodiments of the present disclosure also provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the above-mentioned wireless network performance analysis method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a ROM, a RAM, a magnetic or optical disk, and the like.
The embodiment of the present disclosure further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the foregoing wireless network performance analysis method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the details are not repeated here.
It should be understood that the chips mentioned in the embodiments of the present disclosure may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
The embodiments of the present disclosure provide a computer program product including instructions, which when running on a computer, enables the computer to perform the steps of the above-mentioned wireless network performance analysis method, and can achieve the same technical effects, and in order to avoid repetition, the details are not repeated here.
It should be noted that, in this document, 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it is noted that the scope of the methods and apparatus in the embodiments of the present disclosure is not limited to performing functions in the order shown or discussed, but may include performing functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present disclosure.
While the present disclosure has been described with reference to the embodiments illustrated in the drawings, which are intended to be illustrative rather than restrictive, it will be apparent to those of ordinary skill in the art in light of the present disclosure that many more modifications may be made without departing from the spirit of the disclosure and the scope of the appended claims.

Claims (18)

1. A method for analyzing wireless network performance, the method comprising:
acquiring user call ticket data and work parameter data of each base station, wherein the user call ticket data comprises: the latitude and longitude of user service initiation or service release, wherein the working parameters comprise the latitude and longitude of a base station sector;
modeling an airspace model according to the longitude and latitude of the user ticket data;
associating data information to each airspace unit in the airspace model, wherein the data information comprises engineering parameter data of a base station occupied by user ticket data;
drawing a target image according to preset rules according to the data information related to each airspace unit in the airspace model and the engineering parameter data of each base station;
and analyzing the network performance of the network corresponding to the target image according to the image characteristics of the target image.
2. The method of claim 1, wherein modeling an airspace model according to the longitude and latitude of the user call ticket data comprises:
determining a target reference point of an airspace model according to the longitude and latitude of the user ticket data;
based on the target reference points of the airspace model, building each reference point of the airspace model according to the longitude increment value and the latitude increment value;
constructing a space domain unit of the space domain model according to the reference point of the space domain model;
wherein the target reference points of the spatial domain model comprise: a first reference point and a second reference point; the first reference point is a reference point formed by the minimum longitude and the minimum latitude of the user call ticket data, and the second reference point is a reference point formed by the maximum longitude and the maximum latitude of the user call ticket data.
3. The method of claim 2, wherein the longitude increment value and the latitude increment value are associated with a network scenario.
4. The method of claim 2, wherein the associating data information for each spatial domain unit in the spatial domain model comprises:
grouping the user call ticket data according to the position relation of the latitude and longitude of the user call ticket data and the airspace unit;
preprocessing the user ticket data in each airspace unit;
and deleting the spatial domain unit with incomplete data in the preprocessed spatial domain model.
5. The method of claim 4, wherein the grouping the user call ticket data according to the spatial domain unit according to the longitude and latitude of the user call ticket data and the position relationship of the spatial domain unit comprises:
if the longitude and latitude of the first user phone bill data are located in a first airspace unit, associating the first user phone bill data with the first airspace unit; or,
if the longitude and latitude of the first user phone bill data are located on the common edge of the first airspace unit and the second airspace unit, associating the first user phone bill data with the first airspace unit, and associating the first user phone bill data with the second airspace unit;
wherein the first spatial domain unit is any one spatial domain unit in the spatial domain model.
6. The method of claim 5, wherein the pre-processing the data in each spatial domain unit comprises:
classifying the user call ticket data in the first airspace unit according to the sector of the base station;
and determining the sector with the highest user ticket data ratio as the base station sector corresponding to the first airspace unit.
7. The method of claim 6, wherein the determining the base station sector with the highest user ticket data ratio as the base station sector corresponding to the first airspace unit comprises:
and if the base station sector with the highest user ticket data occupation ratio comprises a plurality of sectors, selecting one sector in the plurality of sectors as a sector corresponding to the first airspace unit.
8. The method according to claim 6, wherein the drawing a target image according to a preset rule according to the data information associated with each spatial domain unit in the spatial domain model comprises:
establishing a connection between the first airspace unit and a base station sector corresponding to the first airspace unit;
different sectors of the base station adopt connecting lines with different colors, and the same sectors of different base stations adopt the same color.
9. The method of claim 8, wherein the image features of the target image comprise at least one of: the color of the connecting line, the length of the connecting line and the coverage area of the connecting line.
10. The method according to claim 9, wherein the analyzing the network performance of the network corresponding to the target image according to the image feature of the target image comprises:
and if the sector connection line color of the first base station in the target image is not matched with the preset color, determining that an error exists in the sector antenna feeder connection direction of the first base station.
11. The method according to claim 9, wherein the analyzing the network performance of the network corresponding to the target image according to the image feature of the target image comprises:
and if the areas of the target sectors of the first base station and the second base station in the target image covering the same area are larger than a preset threshold value, determining that the target sectors of the first base station and the second base station have the mode-triple interference.
12. The method according to claim 9, wherein the analyzing the network performance of the network corresponding to the target image according to the image feature of the target image comprises:
if the length of a connecting line between a first sector and an airspace unit in the target image is larger than that between an adjacent sector and the airspace unit, determining that the signal of the first sector is over-covered;
or,
and if the connecting line length of the first sector and the airspace unit in the target image is smaller than the connecting line length of the adjacent sector and the airspace unit, determining that the signal of the first sector is under-covered.
13. The method according to claim 9, wherein the analyzing the network performance of the network corresponding to the target image according to the image feature of the target image comprises:
and if the difference value between the included angle of the connection line coverage area of the first sector and the airspace unit in the target image and a preset included angle is out of a preset range, determining that the antenna feed included angle of the base station of the first sector has a problem.
14. The method according to claim 1, wherein the analyzing the network performance of the network corresponding to the target image according to the image feature of the target image comprises:
if the first sector in the target image is not connected with the line, determining that the first sector has a fault; or,
and if each sector of the first base station in the target image is not connected with a line, determining that the first base station has a fault.
15. The method of claim 1, wherein modeling an airspace model according to the latitude and longitude of the user call ticket data comprises:
modeling an airspace model according to the longitude and latitude of the user ticket data with the use frequency as the target frequency;
and the target image is an image corresponding to the target frequency.
16. A wireless network performance analysis device, comprising: the system comprises a user call bill data acquisition module, a base station work parameter acquisition module, a spatial domain modeling module, an information correlation module and a network performance analysis module;
the user call ticket data acquisition module is used for acquiring user call ticket data, and the user call ticket data comprises: latitude and longitude of user service initiation or release;
the base station work parameter acquisition module is used for acquiring work parameter data of each base station, wherein the work parameter data comprises the longitude and latitude of a base station sector;
the airspace modeling module is used for establishing an airspace model according to the longitude and latitude of the user ticket data;
the information correlation module is used for correlating data information to each airspace unit in the airspace model, wherein the data information comprises base station parameter data occupied by user call bill data;
the network performance analysis module is used for drawing a target image according to a preset rule according to the data information related to each airspace unit in the airspace model and the engineering parameter data of each base station, and analyzing the network performance of the network corresponding to the target image according to the image characteristics of the target image.
17. A wireless network performance analysis system comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the wireless network performance analysis method of any one of claims 1 to 15.
18. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, implement the steps of the wireless network performance analysis method according to any one of claims 1 to 15.
CN202110996728.4A 2021-08-27 2021-08-27 Wireless network performance analysis method, device and system Pending CN113709796A (en)

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US6336035B1 (en) * 1998-11-19 2002-01-01 Nortel Networks Limited Tools for wireless network planning
CN102227148A (en) * 2011-06-07 2011-10-26 西安方诚通讯技术服务有限公司 GIS traffic model-based method of optimization analysis on wireless network
CN104349366A (en) * 2014-11-03 2015-02-11 四川公用信息产业有限责任公司 GIS (geographic information system)-based wireless network problem association analysis method
CN105430683A (en) * 2014-09-05 2016-03-23 中国电信股份有限公司 Network performance assessment method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6336035B1 (en) * 1998-11-19 2002-01-01 Nortel Networks Limited Tools for wireless network planning
CN102227148A (en) * 2011-06-07 2011-10-26 西安方诚通讯技术服务有限公司 GIS traffic model-based method of optimization analysis on wireless network
CN105430683A (en) * 2014-09-05 2016-03-23 中国电信股份有限公司 Network performance assessment method and device
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