CN115835231A - Base station angle determination method, device, equipment and medium - Google Patents
Base station angle determination method, device, equipment and medium Download PDFInfo
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Abstract
The disclosure relates to a method, a device, equipment and a medium for determining a base station angle. The base station angle determining method comprises the following steps: acquiring position data of a target base station; dividing a corresponding target rectangular equivalent area on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent area; carrying out angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result; and determining a target angle of the target base station based on the angle calculation result. According to the embodiment of the disclosure, the optimal coverage target angle of the target base station can be quickly and accurately obtained.
Description
Technical Field
The present disclosure relates to the field of wireless technologies, and in particular, to a method, an apparatus, a device, and a medium for determining a base station angle.
Background
The commercial maturity of the 5G network is increased, and the application research of the 5G-R on the high-speed railway is also increasingly deep. Due to the networking particularity of the main line of the high-speed railway, the 5G-R network planning optimization is also different from the planning optimization of the traditional large network. For linear coverage of a positive line, the network planning optimization of 5G-R needs to pay special attention to the coverage effect of a base station.
In the related art, the traditional railway network planning mainly adopts a manual means, depends on design experience and repeated test verification, and is difficult to efficiently and quickly find out the optimal coverage angle of the base station.
Disclosure of Invention
In order to solve the technical problem, the present disclosure provides a method, an apparatus, a device, and a medium for determining a base station angle.
In a first aspect, the present disclosure provides a method for determining an angle of a base station, including:
acquiring position data of a target base station;
dividing a corresponding target rectangular equivalent area on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent area;
performing angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result;
and determining a target angle of the target base station based on the angle calculation result.
In a second aspect, the present disclosure provides a base station angle determining apparatus, including:
the first acquisition module is used for acquiring the position data of the target base station;
the area dividing module is used for dividing a corresponding target rectangular equivalent area on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent area;
the first processing module is used for carrying out angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result;
and the first determining module is used for determining the target angle of the target base station based on the angle calculation result.
In a third aspect, the present disclosure provides a base station angle determining apparatus, including:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the base station angle determination method of the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement the base station angle determination method of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the base station angle determining method, device, equipment and medium of the embodiments of the present disclosure can obtain position data of a target base station, then divide a corresponding target rectangular equivalent region on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent region, then perform angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent region to obtain a corresponding angle calculation result, and finally determine a target angle of the target base station based on the angle calculation result.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic flowchart of a method for determining an angle of a base station according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a target rectangular equivalent area provided in an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a target angle provided by an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a base station angle determining apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a base station angle determining device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more complete and thorough understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
In order to solve the above problem, embodiments of the present disclosure provide a method, an apparatus, a device, and a medium for determining a base station angle. The method for determining the base station angle according to the embodiment of the present disclosure is described in detail below with reference to fig. 1 to 3.
Fig. 1 shows a flow chart of a method for determining an angle of a base station according to an embodiment of the present disclosure.
In the embodiment of the present disclosure, the base station angle determination method may be performed by an electronic device. The electronic devices may include, but are not limited to, mobile terminals such as notebook computers, PDAs (personal digital assistants), PADs (tablets), etc., and fixed terminals such as digital TVs, desktop computers, etc.
As shown in fig. 1, the base station angle determination method may include the following steps.
And S110, acquiring the position data of the target base station.
In the embodiment of the present disclosure, before determining the base station angle, the electronic device needs to acquire the position data of the target base station.
Alternatively, the target base station may be a base station for which an angle needs to be determined.
Alternatively, the base station may be a device for transmitting wireless signals.
Alternatively, the position data may be data for characterizing the position of the target base station.
Specifically, before determining the base station angle, the electronic device may determine a target base station that needs to be angle-determined, and obtain location data of the target base station.
And S120, dividing the corresponding target rectangular equivalent area on the target positive line based on the position data of the target base station to obtain the size data of the target rectangular equivalent area.
In this embodiment of the present disclosure, after obtaining the position data of the target base station, the electronic device may divide the corresponding target rectangular equivalent area on the target positive line based on the position data of the target base station, so as to obtain size data of the target rectangular equivalent area.
Alternatively, the target positive line may be a positive line corresponding to the target base station. For example, the target positive line may be a railway line through which a railway train travels between cities.
Alternatively, the target rectangular equivalent area may be an area characterizing signal coverage of the target base station on the target main line.
Alternatively, the size data may be data for characterizing the size of the target rectangular equivalent area.
Specifically, after obtaining the position data of the target base station, the electronic device may divide the corresponding target rectangular equivalent area on the corresponding target positive line according to the position data of the target base station, and obtain size data of the target rectangular equivalent area.
The position data of the target base station may include vertical distance data between the target base station and the target main line and height difference data of a plane where the target base station and the target main line are located.
Alternatively, the vertical distance data of the target base station may be data of the closest vertical distance between the target base station and the target main line.
Alternatively, the height difference data of the target base station may be data of the difference between the height of the target base station and the plane where the target main line is located.
The size data of the target rectangular equivalent area may include length data of the target rectangular equivalent area and width data of the target rectangular equivalent area.
Alternatively, the length data of the target rectangular equivalent area may be data corresponding to the long side of the target rectangular equivalent area. For example, the length data of the target rectangular equivalent area may be equivalent to the length of the signal coverage of the target base station.
Alternatively, the width data of the target rectangular equivalent area may be data corresponding to a short side of the target rectangular equivalent area. For example, the width data of the target rectangular equivalent area may be equivalent to the width of the signal coverage of the target base station, the physical width of the railway main track, and the like, and is not limited herein.
Fig. 2 shows a schematic structural diagram of a target rectangular equivalent area provided by an embodiment of the present disclosure.
As shown in fig. 2, the base station a201, the base station B202, and the positive line 203 may be included, for example, after the base station a201 obtains the position data of the base station a201, the electronic device may determine, according to the position data of the base station a201, a point on the positive line 203 closest to the base station a201, make a normal to the base station a201 and the positive line 203, make a tangent to the positive line 203 at the point, determine, according to the normal and the tangent, a corresponding target rectangular equivalent area 204, and obtain size data of the target rectangular equivalent area 204, that is, length data D of the target rectangular equivalent area 204 N And width data W of the target rectangular equivalent area 204.
And S130, carrying out angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result.
In the embodiment of the present disclosure, after obtaining the position data of the target base station and the size data of the target rectangular equivalent area, the electronic device may perform angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result.
Alternatively, the angle calculation process may be a process for calculating an angle. For example, the angle calculation process may be a machine learning calculation process, a deep learning calculation process, or the like, and is not limited herein.
Alternatively, the angle calculation result may be a calculation result obtained after the angle calculation processing is performed.
Specifically, after obtaining the position data of the target base station and the size data of the target rectangular equivalent area, the electronic device may perform angle calculation processing according to the position data of the target base station and the size data of the target rectangular equivalent area, thereby obtaining an angle calculation result.
Optionally, S130 may specifically include: and performing angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region to obtain a corresponding angle calculation result.
In the embodiment of the present disclosure, after obtaining the position data of the target base station and the size data of the target rectangular equivalent region, the electronic device may perform angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region to obtain a corresponding angle calculation result.
And S140, determining a target angle of the target base station based on the angle calculation result.
In the embodiment of the present disclosure, after obtaining the angle calculation result, the electronic device may determine the target angle of the target base station according to the angle calculation result.
Alternatively, the target angle may be an angle of signal transmission of the target base station.
Alternatively, the target angle may include a down dip and an azimuth.
Alternatively, the downtilt angle may be the angle of the target base station in the vertical dimension.
Alternatively, the azimuth may be an angle of the target base station in the horizontal dimension.
Fig. 3 shows a schematic structural diagram of a target angle provided by an embodiment of the present disclosure.
As shown in fig. 3, in the top view of the base station, the angle of the signal transmission of the base station in the horizontal dimension is the azimuth angle of the base station, and in the side view of the base station, the angle of the signal transmission of the base station in the vertical dimension is the down tilt angle of the base station.
Specifically, after obtaining the angle calculation result, the electronic device may determine a target angle of the target base station, that is, a downtilt angle and an azimuth angle of the target base station according to the angle calculation result.
Therefore, in the embodiment of the disclosure, the position data of the target base station can be acquired, then the corresponding target rectangular equivalent area is divided on the target positive line based on the position data of the target base station to obtain the size data of the target rectangular equivalent area, then the angle calculation processing is performed on the position data of the target base station and the size data of the target rectangular equivalent area to obtain the corresponding angle calculation result, and finally the target angle of the target base station is determined based on the angle calculation result.
Optionally, S130 may specifically include: and inputting the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model so as to enable the angle calculation model to perform angle calculation processing to obtain a corresponding angle calculation result.
In the embodiment of the present disclosure, after obtaining the position data of the target base station and the size data of the target rectangular equivalent area, the electronic device may input the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model, so that the angle calculation model performs angle calculation processing to obtain a corresponding angle calculation result.
Alternatively, the angle calculation model may be a model for performing an angle calculation process. For example, the angle calculation model may be a machine learning calculation model, a deep learning calculation model, or the like, and is not limited herein.
Specifically, the electronic device may input the position data of the target base station and the size data of the target rectangular equivalent region into a pre-trained angle calculation model, that is, input the height difference data of the target base station and the length data of the target rectangular equivalent region into the pre-trained angle calculation model, and the angle calculation model may perform angle calculation processing on the input height difference data of the target base station and the length data of the target rectangular equivalent region, so as to obtain an angle calculation result.
Therefore, in the embodiment of the disclosure, the angle calculation processing can be realized through the angle calculation model, and the optimal coverage target angle of the target base station can be quickly and accurately obtained.
Optionally, before inputting the position data of the target base station and the size data of the target rectangular equivalent area into the pre-trained angle calculation model, the base station angle determination method may further include: acquiring a mapping data set, wherein the mapping data set comprises a training mapping data set and a verification mapping data set; performing model training on the angle calculation model to be trained through a training mapping data set to obtain a trained angle calculation model; and carrying out model verification on the trained angle calculation model through a verification mapping data set to obtain the angle calculation model.
In the embodiment of the present disclosure, the electronic device may acquire the mapping data set before performing the angle calculation processing through the angle calculation model.
Alternatively, the mapping data set may be a data set including length data of the rectangular equivalent area, height difference data of the base station, and a mapping relationship between an azimuth angle and a downtilt angle of the base station.
Optionally, the mapping dataset may include a training mapping dataset and a validation mapping dataset.
Alternatively, the training mapping dataset may be used for the dataset for model training.
Alternatively, the validation map dataset may be used for a dataset for model validation.
Specifically, before performing the angle calculation processing through the angle calculation model, the electronic device may first acquire the mapping data set, that is, acquire a training mapping data set for model training and a verification mapping data set for model verification.
Further, after the electronic device obtains the training mapping data set, the electronic device may perform model training on the angle calculation model to be trained through the training mapping data set to obtain a trained angle calculation model.
Specifically, after the electronic device obtains the training mapping data set, the electronic device may input the angle calculation model to be trained for model training through the mapping relationship between the length data of the rectangular equivalent region in the training mapping data set, the altitude difference data of the base station, and the azimuth angle and the downtilt angle of the base station, so as to train and obtain the trained angle calculation model.
Further, after the electronic device obtains the trained angle calculation model, the electronic device can perform model verification on the trained angle calculation model through a verification mapping data set to obtain the angle calculation model.
Specifically, after obtaining the trained angle calculation model, the electronic device may input the length data of the rectangular equivalent region in the verification mapping data set and the altitude difference data of the base station into the trained angle calculation model to obtain corresponding azimuth angle and downtilt results, and then compare the results with the azimuth angle and downtilt in the verification mapping data set, thereby implementing model verification on the trained angle calculation model and finally obtaining an optimal angle calculation model.
Therefore, in the embodiment of the disclosure, the electronic device can perform model training and model verification, so as to obtain an optimal angle calculation model, and further improve the accuracy of the obtained coverage target angle of the target base station.
Optionally, before the electronic device obtains the mapping data set, the method for determining the base station angle may further include: acquiring position data of a training base station, wherein the position data of the training base station comprises vertical distance data of the training base station and height difference data of the training base station; and acquiring size data of a training rectangle equivalent region on a training positive line corresponding to the training base station, wherein the size data of the training rectangle equivalent region comprises length data of the training rectangle equivalent region and width data of the training rectangle equivalent region.
In embodiments of the present disclosure, an electronic device may obtain location data of a training base station.
Alternatively, the training base station may be a base station for model training.
Alternatively, the position data of the training base station may be data for characterizing the position of the training base station.
Alternatively, the position data of the training base station may include vertical distance data of the training base station and height difference data of the training base station.
Alternatively, the vertical distance data of the training base station may be data of the closest vertical distance between the training base station and the training line.
Alternatively, the height difference data of the training base station may be data of a difference between the height of the training base station and the height of the training plus line.
Alternatively, the training positive line may be a positive line corresponding to the training base station.
Specifically, the electronic device may acquire position data of the training base station, i.e., acquire vertical distance data of the training base station and height difference data of the training base station.
Further, after obtaining the position data of the training base station, the electronic device may obtain size data of the training rectangular equivalent area on the training positive line corresponding to the training base station.
Alternatively, the training rectangular equivalent area may be an area characterizing signal coverage of the training base station on the training main line.
The size data of the training rectangle equivalent region may include length data of the training rectangle equivalent region and width data of the training rectangle equivalent region.
Alternatively, the length data of the training rectangle equivalent region may be data corresponding to the long side of the training rectangle equivalent region. For example, the length data of the equivalent area of the training rectangle may be equivalent to the length of the signal coverage of the training base station.
Alternatively, the width data of the training rectangle equivalent area may be data corresponding to a short side of the training rectangle equivalent area. For example, the width data of the training rectangle equivalent area may be equivalent to the width of signal coverage of the training base station, the physical width of the railway main track, and the like, and is not limited herein.
Specifically, the electronic device may obtain size data of a training rectangle equivalent region on a training line corresponding to the training base station, that is, length data of the training rectangle equivalent region and length data of the training rectangle equivalent region, where the training rectangle equivalent region is similar to the target rectangle equivalent region, and details are not repeated here.
Therefore, in the embodiment of the disclosure, the electronic device may acquire training data for model training first, so that the accuracy of the angle calculation model can be improved, and the accuracy of the acquired coverage target angle of the target base station is improved.
Optionally, obtaining the mapping data set may include: performing coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area to obtain a coverage prediction result; obtaining a training angle of the training base station based on the coverage prediction result, wherein the training angle comprises a training azimuth angle and a training declination angle; and constructing a mapping relation among the altitude difference data of the training base station, the length data of the training rectangular equivalent region, the training azimuth angle and the training downtilt to obtain a mapping data set.
In the embodiment of the present disclosure, the electronic device may perform coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area to obtain a coverage prediction result.
Alternatively, the coverage prediction calculation may be a calculation for calculating a signal coverage efficiency of the training base station. For example, the coverage prediction calculation may be a ray tracing calculation, and the like, and is not limited herein.
Specifically, the electronic device may perform coverage prediction calculation on the altitude difference data of the training base station and the length data of the training rectangular equivalent area, that is, coverage effect indexes such as a coverage rate, a highest received power level (RSRP), an average received power level, and the like of the training base station in the training rectangular equivalent area may be continuously obtained by adjusting an azimuth angle and a downtilt of the training base station, so as to determine an optimal coverage prediction result.
Further, after obtaining the coverage prediction result, the electronic device may obtain a training angle of the training base station based on the coverage prediction result, where the training angle includes a training azimuth and a training downtilt.
Alternatively, the training angle may be the angle of the signaling of the training base station.
Optionally, the training angles may include a down dip and an azimuth.
Alternatively, the downtilt angle may be the angle of the training base station in the vertical dimension.
Alternatively, the azimuth may be the angle of the training base station in the horizontal dimension.
Specifically, after obtaining the optimal coverage prediction result, the electronic device may determine an azimuth angle and a downtilt angle of the training base station corresponding to the optimal coverage prediction result, so as to obtain a training angle of the training base station.
Further, after obtaining the azimuth angle and the downtilt angle of the training base station, the electronic device may construct a mapping relationship between the azimuth angle and the downtilt angle of the training base station and the height difference data of the training base station and the length data of the equivalent region of the training rectangle to obtain a mapping data set.
Alternatively, the mapping relationship construction may be used to construct a mapping relationship between data.
Specifically, after obtaining the azimuth angle and the downtilt angle of the training base station, the electronic device may construct a mapping relationship between the azimuth angle and the downtilt angle of the training base station and the height difference data of the training base station and the length data of the equivalent region of the training rectangle, thereby obtaining a mapping data set.
Therefore, in the embodiment of the disclosure, the electronic device may acquire the mapping data set, so that the accuracy of the angle calculation model can be improved, and the accuracy of the acquired coverage target angle of the target base station can be improved.
Optionally, before performing coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area, the base station angle determination method further includes: and classifying the region scene to which the training base station belongs according to the vertical distance data of the training base station and the width data of the equivalent region of the training rectangle to obtain the region scene type.
In the embodiment of the disclosure, the electronic device may classify the regional scene to which the training base station belongs by using the vertical distance data of the training base station and the width data of the equivalent region of the training rectangle, so as to obtain the regional scene type.
Optionally, the area scene type may be a type of an area scene to which the training base station belongs. For example, the regional scene type may include a viaduct type, a cutting type, an urban type, a suburban type, a rural type, etc., which are not limited herein.
Specifically, the electronic device may classify the area scene to which the training base station belongs through the vertical distance data of the training base station and the width data of the equivalent area of the training rectangle, for example, in a viaduct type, the vertical distance data of the training base station is larger than the width data of the equivalent area of the training rectangle, in a country type, the vertical distance data of the training base station is smaller than the width data of the equivalent area of the training rectangle, and the like, which is not limited herein. The electronic equipment can classify according to the vertical distance data of the training base station and the width data of the training rectangular equivalent region to obtain the region scene type.
Further, the electronic device may obtain the mapping data sets under different region scene types, and train to obtain the angle calculation models under different region scene types.
Further, before performing angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region, the base station angle determination method further includes: and determining the region scene type of the target base station based on the vertical distance data of the target base station and the width data of the target rectangular equivalent region.
In the embodiment of the disclosure, the electronic device may determine the area scene type to which the target base station belongs according to the height difference data of the target base station and the length data of the target rectangular equivalent area, and may perform angle calculation processing through angle calculation models in different area scene types to obtain an angle calculation result.
Therefore, in the embodiment of the disclosure, the electronic device can select different angle calculation models according to different area scene types, so as to quickly and accurately obtain the optimal coverage target angle of the target base station under different area scene types.
Fig. 4 shows a schematic structural diagram of a base station angle determining apparatus according to an embodiment of the present disclosure.
In some embodiments of the present disclosure, the base station angle determining apparatus shown in fig. 4 may be disposed in an electronic device, wherein the electronic device may include, but is not limited to, a mobile terminal such as a notebook computer, a PDA, a PAD, and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like.
As shown in fig. 4, the base station angle determining apparatus 400 may include a first obtaining module 410, an area dividing module 420, a first processing module 430, and a first determining module 440.
The first obtaining module 410 may be configured to obtain location data of a target base station.
The region dividing module 420 may be configured to divide a corresponding target rectangular equivalent region on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent region.
The first processing module 430 may be configured to perform angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result.
The first determining module 440 may be configured to determine a target angle of the target base station based on the angle calculation result.
In the embodiment of the disclosure, position data of a target base station can be acquired, then, based on the position data of the target base station, a corresponding target rectangular equivalent region is divided on a target positive line to obtain size data of the target rectangular equivalent region, then, angle calculation processing is performed on the position data of the target base station and the size data of the target rectangular equivalent region to obtain a corresponding angle calculation result, and finally, based on the angle calculation result, a target angle of the target base station is determined.
In some embodiments of the present disclosure, the position data of the target base station may include vertical distance data of the target base station and height difference data of the target base station, and the size data of the target rectangular equivalent area may include length data of the target rectangular equivalent area and width data of the target rectangular equivalent area.
In some embodiments of the present disclosure, the first processing module 430 may include a first processing unit.
The first processing unit may be configured to perform angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region to obtain a corresponding angle calculation result.
In some embodiments of the present disclosure, the first processing module 430 may further include a second processing unit.
The second processing unit may be configured to input the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model, so that the angle calculation model performs angle calculation processing to obtain a corresponding angle calculation result.
In some embodiments of the present disclosure, the base station angle determining apparatus 400 may further include a second obtaining module, a model training module, and a model verifying module.
The second obtaining module may be configured to obtain a mapping data set before inputting the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model, where the mapping data set includes a training mapping data set and a verification mapping data set.
The model training module can be used for carrying out model training on the angle calculation model to be trained through a training mapping data set to obtain the trained angle calculation model.
The model verification module can be used for performing model verification on the trained angle calculation model through verifying the mapping data set to obtain the angle calculation model.
In some embodiments of the present disclosure, the base station angle determining apparatus 400 may further include a third obtaining module and a fourth obtaining module.
The third obtaining module may be configured to obtain position data of the training base station before obtaining the mapping data set, where the position data of the training base station includes vertical distance data of the training base station and height difference data of the training base station.
The fourth obtaining module may be configured to obtain size data of a training rectangle equivalent region on a training positive line corresponding to the training base station, where the size data of the training rectangle equivalent region includes length data of the training rectangle equivalent region and width data of the training rectangle equivalent region.
In some embodiments of the present disclosure, the second obtaining module may include a third processing unit, a fourth processing unit, and a fifth processing unit.
The third processing unit may be configured to perform coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area to obtain a coverage prediction result.
The fourth processing unit may be configured to obtain a training angle of the training base station based on the coverage prediction result, where the training angle includes a training azimuth and a training downtilt.
The fifth processing unit may be configured to perform mapping relationship construction on the altitude difference data of the training base station, the length data of the training rectangular equivalent region, the training azimuth, and the training downtilt, so as to obtain a mapping data set.
In some embodiments of the present disclosure, the second obtaining module may further include a sixth processing unit.
The sixth processing unit may be configured to classify the regional scenes to which the training base stations belong according to the vertical distance data of the training base stations and the width data of the training rectangular equivalent regions before performing coverage prediction calculation on the height difference data of the training base stations and the length data of the training rectangular equivalent regions, so as to obtain a regional scene type.
In some embodiments of the present disclosure, the base station angle determining apparatus 400 may further include a second determining module.
The second determining module may be configured to determine, before performing angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region, a region scene type to which the target base station belongs based on the vertical distance data of the target base station and the width data of the target rectangular equivalent region.
It should be noted that the base station angle determining apparatus 400 shown in fig. 4 may perform each step in the method embodiments shown in fig. 1 to fig. 3, and implement each process and effect in the method embodiments shown in fig. 1 to fig. 3, which are not described herein again.
Fig. 5 shows a schematic structural diagram of a base station angle determining device according to an embodiment of the present disclosure.
In some embodiments of the present disclosure, the base station angle determining apparatus shown in fig. 5 may be an electronic apparatus that a user wants to perform a base station angle determining operation. The electronic devices may include, but are not limited to, mobile terminals such as notebook computers, PDAs (personal digital assistants), PADs (tablet computers), and the like, and fixed terminals such as digital TVs, desktop computers, and the like, among others.
As shown in fig. 5, the base station angle determination device may include a processor 501 and a memory 502 having computer program instructions stored therein.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to perform the steps of the base station angle determination method provided by the embodiment of the present disclosure.
In one example, the base station angle determination device may also include a transceiver 503 and a bus 504. As shown in fig. 5, the processor 501, the memory 502 and the transceiver 503 are connected via a bus 504 to complete communication.
The disclosed embodiments also provide a computer-readable storage medium, which may store a computer program, and when the computer program is executed by a processor, the processor is enabled to implement the base station angle determining method provided by the disclosed embodiments.
The storage medium may, for example, include a memory 502 of computer program instructions executable by a processor 501 of a base station angle determination device to perform the base station angle determination method provided by the embodiments of the present disclosure. Alternatively, the storage medium may be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a compact disc read only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
It is noted that, in this document, 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 term "comprises/comprising" is 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.
The previous description is only for the purpose of describing particular embodiments of the present disclosure, so as to enable those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for determining an angle of a base station, comprising:
acquiring position data of a target base station;
dividing a corresponding target rectangular equivalent area on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent area;
performing angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result;
and determining a target angle of the target base station based on the angle calculation result.
2. The method according to claim 1, wherein the position data of the target base station comprises vertical distance data of the target base station and the target main line and height difference data of a plane in which the target base station and the target main line are located, and the size data of the target rectangular equivalent area comprises length data of the target rectangular equivalent area and width data of the target rectangular equivalent area;
wherein, the performing angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result includes:
and carrying out angle calculation processing on the height difference data of the target base station and the length data of the target rectangular equivalent region to obtain a corresponding angle calculation result.
3. The method of claim 1, wherein performing angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result comprises:
and inputting the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model so as to enable the angle calculation model to perform angle calculation processing to obtain the corresponding angle calculation result.
4. The method of claim 3, wherein before inputting the position data of the target base station and the size data of the target rectangular equivalent area into a pre-trained angle calculation model, the method further comprises:
acquiring a mapping data set, wherein the mapping data set comprises a training mapping data set and a verification mapping data set;
performing model training on the angle calculation model to be trained through the training mapping data set to obtain a trained angle calculation model;
and carrying out model verification on the trained angle calculation model through the verification mapping data set to obtain the angle calculation model.
5. The method of claim 4, wherein prior to said obtaining a mapping dataset, the method further comprises:
acquiring position data of a training base station, wherein the position data of the training base station comprises vertical distance data of the training base station and height difference data of the training base station;
and acquiring size data of a training rectangular equivalent region on a training positive line corresponding to the training base station, wherein the size data of the training rectangular equivalent region comprises length data of the training rectangular equivalent region and width data of the training rectangular equivalent region.
6. The method of claim 5, wherein obtaining the mapping dataset comprises:
performing coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area to obtain a coverage prediction result;
obtaining a training angle of the training base station based on the coverage prediction result, wherein the training angle comprises a training azimuth angle and a training declination angle;
and constructing a mapping relation among the altitude difference data of the training base station, the length data of the equivalent area of the training rectangle, the training azimuth and the training declination to obtain the mapping data set.
7. The method of claim 6, wherein prior to said performing a coverage prediction calculation on the height difference data of the training base station and the length data of the training rectangular equivalent area, the method further comprises:
classifying the region scene to which the training base station belongs according to the vertical distance data of the training base station and the width data of the equivalent region of the training rectangle to obtain a region scene type;
before the angle calculation processing is performed on the height difference data of the target base station and the length data of the target rectangular equivalent region, the method further includes:
and determining the region scene type of the target base station based on the vertical distance data of the target base station and the width data of the target rectangular equivalent region.
8. A base station angle determining apparatus, comprising:
the first acquisition module is used for acquiring the position data of the target base station;
the area dividing module is used for dividing a corresponding target rectangular equivalent area on a target positive line based on the position data of the target base station to obtain size data of the target rectangular equivalent area;
the first processing module is used for carrying out angle calculation processing on the position data of the target base station and the size data of the target rectangular equivalent area to obtain a corresponding angle calculation result;
a first determining module, configured to determine a target angle of the target base station based on the angle calculation result.
9. A base station angle determining apparatus, comprising:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the base station angle determination method of any one of the preceding claims 1-7.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to carry out the base station angle determination method of any of the preceding claims 1-7.
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