CN113891337B - Deployment position determining method, device and storage medium - Google Patents
Deployment position determining method, device and storage medium Download PDFInfo
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- CN113891337B CN113891337B CN202111211127.4A CN202111211127A CN113891337B CN 113891337 B CN113891337 B CN 113891337B CN 202111211127 A CN202111211127 A CN 202111211127A CN 113891337 B CN113891337 B CN 113891337B
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000004891 communication Methods 0.000 claims abstract description 48
- 238000012545 processing Methods 0.000 claims description 31
- 238000010606 normalization Methods 0.000 claims description 13
- 238000005516 engineering process Methods 0.000 claims description 8
- 238000010295 mobile communication Methods 0.000 claims description 7
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- 238000010586 diagram Methods 0.000 description 5
- 238000012216 screening Methods 0.000 description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application provides a deployment position determining method, a device and a storage medium, relates to the technical field of communication, and is used for solving the technical problem of how to accurately determine a deployment position. The method comprises the following steps: after acquiring a plurality of positions satisfying a preset condition in the target area and service data corresponding to service states of a plurality of candidate base stations deployed at the plurality of positions, at least one candidate position may be determined based on the service data of the plurality of candidate base stations, and a target position for deploying the target base station may be determined based on position information of the at least one candidate position and a preset algorithm. The method and the device can accurately determine the deployment position of the base station for communication based on the 5G millimeter waves.
Description
Technical Field
The present application belongs to the field of communication technologies, and in particular, to a deployment location determining method, a deployment location determining device, and a storage medium.
Background
In the fifth generation mobile communication technology (5th generation mobile communication technology,5G), the 5G millimeter wave has abundant frequency resources and has the outstanding advantages of high bandwidth, low time delay and the like.
At present, 5G millimeter waves are still in an experimental stage, and the deployment position of a base station for communication based on the 5G millimeter waves cannot be reasonably determined
Disclosure of Invention
The application provides a deployment position determining method, a device and a storage medium, which are used for solving the problem of how to accurately determine a deployment position.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, a deployment location determination method is provided, including: after acquiring a plurality of positions in the target area, which satisfy a preset condition (the number of terminals is greater than a preset number, the communication traffic is greater than a preset traffic, and the propagation loss is less than a preset loss), and service data of a plurality of candidate base stations deployed at the plurality of positions, since the service data is used to represent service states of the candidate base stations corresponding to the service data, at least one candidate position may be determined based on the service data of the plurality of candidate base stations, and a target position for deploying the target base station may be determined based on position information of the at least one candidate position and a preset algorithm.
Optionally, the method for determining at least one candidate location based on service data of a plurality of candidate base stations specifically includes: carrying out normalization processing on the service data; the normalization process is used for converting the data format of the service data into a target format; determining deployment capability values of a plurality of candidate base stations based on the normalized service data; selecting at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations; the deployment location of the at least one candidate base station is determined as the at least one candidate location.
Optionally, the method for determining the target location for deploying the target base station based on the location information of at least one candidate location and a preset algorithm specifically includes: determining a kernel density of the at least one candidate location based on the location information of the at least one candidate location and a kernel density algorithm; and selecting the candidate position with the nuclear density larger than or equal to a second preset value from the nuclear density of at least one candidate position as a target position.
Optionally, the service data includes: the method comprises the steps of total traffic data flow, total access terminals, total traffic income, total number of traffic, number of terminals with traffic flow larger than preset traffic, number of terminals with average consumption level in month larger than preset consumption level, number of terminals of preset machine type and number of terminals to be converted into a fifth generation mobile communication technology 5G terminal.
In a second aspect, there is provided a deployment location determination apparatus comprising: an acquisition unit and a processing unit; an acquisition unit configured to acquire a plurality of positions within a target area that satisfy a preset condition; the preset conditions include one or more of the following: the number of terminals is larger than the preset number, the communication traffic is larger than the preset traffic, and the propagation loss is smaller than the preset loss; an acquisition unit, configured to acquire service data of a plurality of candidate base stations deployed at a plurality of positions; the service data is used for representing the service state of the candidate base station corresponding to the service data; the processing unit is used for determining at least one candidate position based on the service data of the plurality of candidate base stations acquired by the acquisition unit; the processing unit is further used for determining a target position for deploying the target base station based on the position information of the at least one candidate position and a preset algorithm.
Optionally, the processing unit is specifically configured to: carrying out normalization processing on the service data; the normalization process is used for converting the data format of the service data into a target format; determining deployment capability values of a plurality of candidate base stations based on the normalized service data; selecting at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations; the deployment location of the at least one candidate base station is determined as the at least one candidate location.
Optionally, the processing unit is specifically configured to: determining a kernel density of the at least one candidate location based on the location information of the at least one candidate location and a kernel density algorithm; and selecting the candidate position with the nuclear density larger than or equal to a second preset value from the nuclear density of at least one candidate position as a target position.
Optionally, the service data includes: the method comprises the steps of total traffic data flow, total access terminals, total traffic income, total number of traffic, number of terminals with traffic flow larger than preset traffic, number of terminals with average consumption level in month larger than preset consumption level, number of terminals of preset machine type and number of terminals to be converted into a fifth generation mobile communication technology 5G terminal.
In a third aspect, a deployment location determination apparatus is provided, comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the deployment location determination device is running, the processor executes computer-executable instructions stored in the memory to cause the deployment location determination device to perform the deployment location determination method as in the first aspect.
The deployment location determination may be a network device or may be a part of an apparatus in a network device, such as a system-on-chip in a network device. The system-on-a-chip is adapted to support the network device to implement the functions involved in the first aspect and any one of its possible implementations, e.g. to receive, determine, and offload data and/or information involved in the above-mentioned data processing method. The chip system includes a chip, and may also include other discrete devices or circuit structures.
In a fourth aspect, a computer-readable storage medium is provided, characterized in that the computer-readable storage medium comprises computer-executable instructions that, when run on a computer, cause the computer to perform the deployment location determination method as in the first aspect.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on the first computer readable storage medium. The first computer readable storage medium may be packaged together with the processor of the location determining device or may be packaged separately from the processor of the location determining device, which is not limited in this respect.
In the present application, the names of the above-described deployment location determination apparatuses do not constitute limitations on the devices or function modules themselves, and in actual implementations, these devices or function modules may appear under other names. Insofar as the function of each device or function module is similar to that of the present application, it falls within the scope of the claims of the present application and the equivalents thereof.
These and other aspects of the application will be more readily apparent from the following description.
The technical scheme provided by the application has at least the following beneficial effects:
based on any one of the above aspects, in the present application, after a plurality of locations satisfying a preset condition (the number of terminals is greater than a preset number, the communication traffic is greater than a preset traffic, and the propagation loss is less than a preset loss, etc.) and service data of a plurality of candidate base stations deployed at the plurality of locations are acquired, since the service data is used to represent service states of the candidate base stations corresponding to the service data, at least one candidate location may be determined based on the service data of the plurality of candidate base stations, and a target location for deploying the target base station may be determined based on location information of the at least one candidate location and a preset algorithm. Therefore, the application can carry out multi-layer screening on the target area, and further more accurately determine the target position for deploying the target base station in the target area.
Drawings
FIG. 1 is a schematic diagram of a deployment location determination system according to an embodiment of the present application;
fig. 2 is a schematic hardware structure of a communication device according to an embodiment of the present application;
fig. 3 is a schematic diagram of another hardware structure of a communication device according to an embodiment of the present application;
fig. 4 is a schematic flow chart of a deployment location determining method according to an embodiment of the present application;
fig. 5 is a second flowchart of a deployment location determining method according to an embodiment of the present application;
fig. 6 is a flowchart illustrating a method for determining a deployment location according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a deployment location determining apparatus according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In order to clearly describe the technical solution of the embodiment of the present application, in the embodiment of the present application, the words "first", "second", etc. are used to distinguish identical items or similar items having substantially the same function and effect, and those skilled in the art will understand that the words "first", "second", etc. are not limited in number and execution order.
Furthermore, the terms "comprising" and "having" in the embodiments of the application and in the claims and drawings are not exclusive. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may include other steps or modules not listed.
As described in the background art, the 5G millimeter wave is still in an experimental stage, and the deployment position of the base station that communicates based on the 5G millimeter wave cannot be reasonably determined.
In view of the foregoing, an embodiment of the present application provides a deployment location determining method, where after a plurality of locations satisfying a preset condition (the number of terminals is greater than a preset number, the communication traffic is greater than a preset traffic, and the propagation loss is less than a preset loss, etc.) in a target area and service data of a plurality of candidate base stations deployed at the plurality of locations are acquired, since the service data is used to represent service states of the candidate base stations corresponding to the service data, at least one candidate location may be determined based on the service data of the plurality of candidate base stations, and a target location for deploying the target base station may be determined based on location information of the at least one candidate location and a preset algorithm. Therefore, the application can carry out multi-layer screening on the target area, and further more accurately determine the target position for deploying the target base station in the target area.
The deployment location determination method is applicable to a deployment location determination system. Fig. 1 illustrates one configuration of the deployment location determination system 100. As shown in fig. 1, the deployment location determination system 100 includes: a location determining device 101 and a server 102 are deployed. A communication connection between the position determining means 101 and the server 102 is deployed.
Alternatively, the deployment location determining apparatus 101 in fig. 1 may be an electronic device (e.g. a server or a terminal) for determining a target location for deploying a target base station in a target area.
Alternatively, when the deployment location determining apparatus 101 is a server, the server may be a single server, or may be a server cluster made up of a plurality of servers. In some implementations, the server cluster may also be a distributed cluster. The embodiment of the present application is not limited in any way.
Alternatively, when the deployment location determination apparatus 101 is a terminal, the terminal is a device that provides voice and/or data connectivity to a user, a handheld device with wireless connection functionality, or other processing device connected to a wireless modem. The wireless terminal may communicate with one or more core networks via a radio access network (radio access network, RAN). The wireless terminal may be a mobile terminal, such as a computer with a mobile terminal, or a portable, pocket, hand-held, computer-built-in mobile device that exchanges voice and/or data with a radio access network, e.g., a cell phone, tablet, notebook, netbook, personal digital assistant (personal digital assistant, PDA). The embodiment of the present application is not limited in any way.
The server 102 is configured to collect and provide information such as position information of all positions within the target area and service data of base stations deployed at all positions to the deployment position determining apparatus 101.
Alternatively, the server 102 may be a single server, or may be a server cluster formed by a plurality of servers. In some implementations, the server cluster may also be a distributed cluster. The embodiment of the present application is not limited in any way.
Alternatively, when the deployment location determination apparatus 101 is a server, the deployment location determination apparatus 101 may be a server provided separately from the server 102, or may be a functional module inside the server 102.
For ease of understanding, the present application will be described mainly by taking the deployment location determining apparatus 101 and the server 102 as independent settings.
It is easy to understand that when the deployment location determining apparatus 101 is a functional module inside the server 102, the manner of communication between the deployment location determining apparatus 101 and the server 102 is communication between modules inside the server. In this case, the communication flow therebetween is the same as "in the case where the deployment position determining apparatus 101 and the server 102 are independent of each other".
The basic hardware architecture of the deployment location determination device 101 and the server 102 in the deployment location determination system 100 is similar, and includes elements included in the communication device shown in fig. 2 or fig. 3. The hardware configuration of the deployment location determining apparatus 101 and the server 102 will be described below taking the communication apparatus shown in fig. 2 and 3 as an example.
Fig. 2 is a schematic diagram of a hardware structure of a communication device according to an embodiment of the present application. The communication device comprises a processor 21, a memory 22, a communication interface 23, a bus 24. The processor 21, the memory 22 and the communication interface 23 may be connected by a bus 24.
The processor 21 is a control center of the communication device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 21 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 21 may include one or more CPUs, such as CPU0 and CPU1 shown in fig. 2.
Memory 22 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random accessme mory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a possible implementation, the memory 22 may exist separately from the processor 21, and the memory 22 may be connected to the processor 21 by a bus 24 for storing instructions or program code. The deployment location determination method provided by the following embodiments of the present application can be implemented when the processor 21 calls and executes instructions or program codes stored in the memory 22.
In the embodiment of the present application, the software programs stored in the memory 22 are different for the deployment location determining apparatus 101 and the server 102, so that the functions realized by the deployment location determining apparatus 101 and the server 102 are different. The functions performed with respect to the respective devices will be described in connection with the following flowcharts.
In another possible implementation, the memory 22 may also be integrated with the processor 21.
A communication interface 23 for connecting the communication device with other devices via a communication network, which may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN) or the like. The communication interface 23 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.
Bus 24 may be an industry standard architecture (industry standard architecture, ISA) bus, an external device interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 2, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 2 does not constitute a limitation of the communication device, and the communication device may comprise more or less components than shown in fig. 2, or may combine some components, or may be arranged in different components.
Fig. 3 shows another hardware configuration of the communication apparatus in the embodiment of the present application. As shown in fig. 3, the communication device may include a processor 31 and a communication interface 32. The processor 31 is coupled to a communication interface 32.
The function of the processor 31 may be as described above with reference to the processor 21. The processor 31 also has a memory function and can function as the memory 22.
The communication interface 32 is used to provide data to the processor 31. The communication interface 32 may be an internal interface of the communication device or an external interface of the communication device (corresponding to the communication interface 23).
It should be noted that the structure shown in fig. 2 (or fig. 3) does not constitute a limitation of the communication apparatus, and the communication apparatus may include more or less components than those shown in fig. 2 (or fig. 3), or may combine some components, or may be arranged in different components.
Fig. 4 is a schematic flow chart of a deployment location determining method according to an embodiment of the present application. The deployment position determining method is applied to a deployment position determining device, and the deployment position determining device belongs to a deployment position determining system consisting of the deployment position determining device and a server shown in fig. 1. The deployment location determination method comprises the following steps: S401-S404.
S401, the deployment position determining device obtains a plurality of positions meeting preset conditions in the target area.
Specifically, when 5G millimeter waves need to be deployed on a 5G base station in a target area, the deployment location determining apparatus may acquire a plurality of locations in the target area that satisfy a preset condition.
Wherein the preset conditions include one or more of the following: the number of terminals is greater than a preset number, the traffic is greater than a preset traffic, and the propagation loss is less than a preset loss.
Alternatively, the target area may be a geographical area represented by a location name, or may be a geographical range represented by a latitude and longitude. The embodiment of the present application is not limited thereto.
Alternatively, the multiple locations satisfying multiple preset conditions (i.e., the number of terminals is greater than the preset number, the communication traffic is greater than the preset traffic, and the propagation loss is less than the preset loss) may be scenes such as dense business areas, dense residential areas, campuses, large venues, large squares, transportation hubs, etc. within the target area.
It should be noted that, when the preset condition is that the number of terminals is greater than the preset number, it may be determined that the scenario related to the application of the high-frequency band (6-15 GHz) is an indoor hot spot, a dense urban area, macro coverage, access and backhaul of the high-speed railway, and satellite expansion to the ground according to the definition in the research report (technical report, TR) of the third generation partnership project (the 3rd generation partner project,3GPP). In these scenarios, the number of terminals is typically greater than a preset number.
When the preset condition is that the propagation loss is smaller than the preset loss, the outdoor scene and the indoor scene can be screened according to the main reason causing the propagation loss. The main causes of propagation loss are: a. causing multiple reflections and diffraction. Non line of sight (NLOS) propagation may have about 10-20 decibels (dB) of additional LOSs compared to line of sight (LOS) propagation under the same transceiver range conditions due to reflection and diffraction effects; b. there is a shade of the tree. For outdoor coverage of urban areas, although a forest scene with larger loss is not available, greening vegetation also brings propagation loss; c. the number of times of rainfall in the month is larger than the preset number of times. For a part of millimeter wave frequency bands, although the influence of atmospheric absorption is negligible, in a rainy region, the rain fade needs to be considered with emphasis.
Therefore, in order to meet the requirement that the propagation loss is smaller than the preset loss, for outdoor scenes, streets, wide squares and other scenes in dense urban areas are generally selected. For indoor scenes, the communication environment is simpler than for outdoor scenes, and the wireless communication distance is generally shorter, and the propagation loss is generally smaller than the preset loss.
When the preset condition is that the communication traffic is larger than the preset traffic, the outdoor scenes of the urban macro cell (Uma) such as macro coverage and satellite expansion to the ground can be eliminated in the scene categories meeting the condition that the number of terminals is larger than the preset number. This is because the base station spacing of Uma is about 3km, the base station antenna is above roof height, which is a more typical macro base station deployment scenario, and the traffic is generally less than the preset traffic.
Alternatively, the server may store information on all locations in the target area, and scene categories (e.g., dense business areas, dense residential areas, campuses, large venues, etc.) that correspond to all locations one-to-one. When a plurality of positions meeting a preset condition in the target area need to be acquired, the deployment position determining device may determine a plurality of scene categories according to the preset condition, and send a request message for acquiring the plurality of positions corresponding to the plurality of scene categories to the server. The server may read a plurality of positions corresponding to the plurality of scene categories in response to a request message for acquiring the plurality of positions corresponding to the plurality of scene categories, and transmit the plurality of positions corresponding to the plurality of scene categories to the deployment position determining apparatus. Accordingly, the deployment location determination apparatus receives information of a plurality of locations corresponding to a plurality of scene categories from the server.
S402, the deployment position determining device acquires service data of a plurality of candidate base stations deployed at a plurality of positions.
Specifically, after acquiring a plurality of positions satisfying a preset condition in the target area, the deployment position determining apparatus may acquire service data of a plurality of candidate base stations deployed at the plurality of positions.
Wherein the service data is used for representing the service state of the candidate base station corresponding to the service data.
The service data may include total traffic (for example, the total traffic generated by the service data on the candidate base station is 1000 megabytes (M)), total access terminals (for example, the candidate base station has total access to 500 terminals), total traffic (for example, all the services within the coverage area of the candidate base station have total access to 50 ten thousand rmb), total traffic (for example, the candidate base station has total access to 10000 services), total traffic (for example, the candidate base station has total access to 20G, 200 traffic is greater than 20G), number of terminals whose average monthly consumption level is greater than the preset consumption level (for example, the preset consumption level may be 100 yuan/month, 400 months is greater than 100 yuan/month), number of terminals of preset model (for example, the preset may be the terminal of the high-end model a and the high-end model B, the candidate base station has access to 200 high-end models a, 100 high-end models B and 200 low-end models C, 300 terminals are accessed to be converted to 5G terminals (for example, the candidate base station has total access to 5G terminals).
Optionally, the manner in which the deployment location determining apparatus obtains the service data of the plurality of candidate base stations deployed at the plurality of locations may refer to S401, and the manner in which the deployment location determining apparatus obtains the plurality of locations within the target area that satisfy the preset condition is not described herein.
For example, if the preset deployment location determining device obtains three locations A, B and C that satisfy the preset condition in the target area, the service data of the candidate base station a deployed at the a location, the service data of the candidate base station B deployed at the B location, and the service data of the candidate base station C deployed at the C location may be obtained from the server. a. And b and c, after collecting the service data such as total flow, total user number, total income, total service times, large-flow user number, high-value user number, high-consumption user number, potential 5G user number and the like, the three candidate base stations can be transmitted to a server. Correspondingly, the server can accept and store the service data collected by the three candidate base stations a, b and c.
S403, the deployment position determining device determines at least one candidate position based on service data of the candidate base stations.
Specifically, after acquiring service data of a plurality of candidate base stations deployed at a plurality of locations, the deployment location determining means may determine at least one candidate location based on the service data of the plurality of candidate base stations.
Optionally, the deployment location determining device determines the manner of at least one candidate location based on the traffic data of the plurality of candidate base stations, including but not limited to the following two manners.
The first way is:
the deployment location determining device may perform data normalization on service data of each candidate base station according to the min-max normalization method, then calculate a sum value of all data in the service data of each candidate base station, select at least one sum value greater than a preset threshold value from a plurality of sum values which are calculated and correspond to the service data of a plurality of candidate base stations one by one, and determine at least one location where at least one candidate base station corresponding to the at least one sum value greater than the preset threshold value is located as at least one candidate location.
The second way is:
the deployment location determining device may perform data normalization on service data of each candidate base station according to the z-score normalization method, then calculate a sum value of all data in the service data of each candidate base station, select at least one sum value greater than a preset threshold value from a plurality of calculated sums values corresponding to the service data of a plurality of candidate base stations one by one, and determine at least one location where at least one candidate base station corresponding to the at least one sum value greater than the preset threshold value is located as at least one candidate location.
S404, the deployment position determining device determines a target position for deploying the target base station based on the position information of at least one candidate position and a preset algorithm.
Specifically, after determining the at least one candidate position, the deployment position determining apparatus may determine the target position for deploying the target base station based on the position information of the at least one candidate position and a preset algorithm.
Alternatively, the preset algorithm may be a kernel density estimation algorithm.
It can be appreciated that the 5G base station deployed at the target location may be used as a target 5G base station for deployment of 5G millimeter waves in the target area.
Alternatively, the manner in which the deployment location determining device determines the target location for deploying the target base station based on the location information of the at least one candidate location and the preset algorithm may include, but is not limited to, the following two manners.
The first way is:
when the kernel density estimation algorithm is based on a Gaussian kernel function, the deployment position determination device can determine a kernel function through the Gaussian kernel function and the position information of each candidate position to obtain at least one kernel function corresponding to at least one candidate position, and then linearly superimpose the at least one kernel function to obtain a kernel density function, so that a kernel density value of the at least one candidate position is obtained according to the kernel density function, and a candidate position with the kernel density value larger than a preset kernel density value in the at least one candidate position is determined as a target position.
The second way is:
when the kernel density estimation algorithm is an algorithm based on a uniform kernel function, the deployment position determining device can determine a kernel function through the uniform kernel function and the position information of each candidate position to obtain at least one kernel function corresponding to at least one candidate position, and then linearly superimpose the at least one kernel function to obtain a kernel density function, so that a kernel density value of the at least one candidate position is obtained according to the kernel density function, and a candidate position with the kernel density value larger than a preset kernel density value in the at least one candidate position is determined as a target position.
In one implementation manner, as shown in fig. 5 in connection with fig. 4, in S403, the method for determining at least one candidate location by using the deployment location determining apparatus based on service data of a plurality of candidate base stations specifically includes: S501-S504.
S501, the deployment position determining device performs normalization processing on the service data.
Specifically, after acquiring service data of a plurality of candidate base stations deployed at a plurality of positions, the deployment position determining apparatus may normalize the service data.
The normalization processing is used for converting the data format of the business data into a target format.
Optionally, when the service data includes 8 dimensions of data in total, including total traffic, total number of users, total income, total number of service times, number of large traffic users, high value user, high consumption user, and potential 5G user, the data in 8 dimensions may be normalized according to the first formula due to different units of the data in 8 dimensions. The first formula is:
wherein n is one positive integer of 8 positive integers of 1,2, … and 8,for normalizing the processed data in the nth dimension, a n For data of the nth dimension, a min A is the value of the data with the smallest absolute value in the data with 8 dimensions max The value of the data with the largest absolute value among the 8-dimensional data.
S502, the deployment position determining device determines deployment capability values of a plurality of candidate base stations based on the normalized service data.
Specifically, after the service data is normalized, the deployment location determining device may determine deployment capability values of the plurality of candidate base stations based on the normalized service data.
Optionally, the deployment location determining device may input all data in the normalized service data into the second formula, to determine deployment capability values of the plurality of candidate base stations. The second formula is:
Wherein n is a positive integer greater than zero, w is a deployment capability value of a candidate base station,for normalizing the nth dimension data in the processed service data, w n Is the weight coefficient of the nth dimension data.
The weight coefficient w 1 ，w 2 ，…，w n The sum of (2) is 1, representing the importance of each dimension, which can be preset empirically by hand.
S503, the deployment position determining device selects at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations.
Specifically, after determining the deployment capability values of the plurality of candidate base stations, the deployment location determining apparatus may select at least one candidate base station whose deployment capability value is greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations.
Alternatively, the first preset value may be determined according to one deployment capability value of the deployment capability values of the plurality of candidate base stations, or may be manually determined empirically. The embodiment of the present application is not limited thereto.
S504, the deployment position determining device determines the deployment position of the at least one candidate base station as the at least one candidate position.
Specifically, after selecting at least one candidate base station whose deployment capability value is greater than or equal to the first preset value, the deployment location determining device may determine the deployment location of the at least one candidate base station as the at least one candidate location.
For example, the deployment capability value of the candidate base station a is preset to be 0.3, the deployment capability value of the candidate base station B is 0.6, and the deployment capability value of the candidate base station C is 0.8. The first preset value may be 0.5, determined empirically by hand. The deployment location determining means selects candidate base stations B and C having a deployment capability value greater than 0.5 from among the deployment capability values of the candidate base stations A, B and C, and determines the deployment locations of the candidate base stations B and C as candidate locations.
In one implementation manner, as shown in fig. 6 in connection with fig. 4, in S404, the deployment location determining apparatus determines, based on the location information of at least one candidate location and a preset algorithm, a target location for deploying the target base station, which specifically includes: S601-S602.
S601, the deployment position determining device determines the nuclear density of at least one candidate position based on the position information of the at least one candidate position and a nuclear density algorithm.
Specifically, after determining the at least one candidate location, the deployment location determination device may determine a core density of the at least one candidate location based on the location information of the at least one candidate location and a core density algorithm.
Alternatively, the location information of the at least one candidate location may be latitude and longitude information of the at least one candidate location.
Alternatively, when the kernel density algorithm is an algorithm based on a gaussian kernel function, the deployment location determining apparatus may calculate the kernel density of at least one candidate location, that is, the two-dimensional gaussian kernel density estimated value, according to the latitude and longitude distribution of the at least one candidate location, respectively.
For example, if latitude and longitude information of one candidate location x is preset as x= [ lon, lat ], the kernel density function representing one candidate location x may be:
where n is the total number of all candidate positions, lon is the longitude of candidate position x, lat is the latitude of candidate position x, lon i Longitude, lat, of the candidate position x after screening i For the latitude of the candidate position x after screening, K 0 (. Cndot.) is a Gaussian kernel function. h is a smoothing parameter in the kernel density estimation algorithm.
The initial value of h is usually a manually set value greater than 0. Subsequently, the value of h can be adjusted through a kernel density estimation algorithm based on a Gaussian kernel function, so that the kernel density of the candidate position can be accurately determined.
The formula of the gaussian kernel function is:
after the Gaussian kernel function is selected, h is required to be selected, and the kernel density estimation method is adopted to correct the smoothing parameter h, so that the kernel density function about the target area is obtained as follows:
Wherein n is a positive integer greater than zero, i is a positive integer greater than zero and less than or equal to n, h i The smoothing parameter h, f (x) for the i-th candidate position is the bandwidth h i N is the total number of all candidate positions, K 0 (. Cndot.) is a kernel function. Alpha is a sensitive factor used for correcting the smoothing parameter, and the value range is 0-1 and is usually 0.5.
S602, the deployment position determining device selects a candidate position with the nuclear density being greater than or equal to a second preset value from the nuclear densities of at least one candidate position to determine the candidate position as a target position.
Specifically, after determining the core density of the at least one candidate location, the deployment location determining apparatus may select, from the core densities of the at least one candidate location, a candidate location having a core density greater than or equal to a second preset value as the target location.
Alternatively, the second preset value may be determined based on one of the nuclear densities of the at least one candidate location, or may be manually determined empirically. The embodiment of the present application is not limited thereto.
For example, the core density of the candidate a is calculated to be a, the core density of the candidate B is calculated to be 2a, and the core density of the candidate c is calculated to be 3a. The second predetermined value may be 3a to select the candidate location with the greatest nuclear density. The deployment location determination means may select a C candidate location equal to the second preset value (i.e., 3 a) from the nuclear densities of the A, B and C three candidate locations as the target location.
In the embodiment of the present application, after the deployment location determining apparatus obtains a plurality of locations in the target area, where the number of terminals is greater than the preset number, the communication traffic is greater than the preset traffic, and the propagation loss is less than the preset loss, and the service data of a plurality of candidate base stations deployed at the plurality of locations, the service data is used to represent the service states of the candidate base stations corresponding to the service data, so that at least one candidate location may be determined based on the service data of the plurality of candidate base stations, and the target location for deploying the target base station may be determined based on the location information of the at least one candidate location and a preset algorithm. Therefore, the application can carry out multi-layer screening on the target area, and further more accurately determine the target position for deploying the target base station in the target area.
The foregoing description of the solution provided by the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application can divide the functional modules of the terminal according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.
Fig. 7 is a schematic structural diagram of a deployment location determining apparatus according to an embodiment of the present application. The deployment location determination apparatus may be used to perform the deployment location determination method as shown in fig. 4 to 6. The deployment location determination apparatus shown in fig. 6 includes: an acquisition unit 701 and a processing unit 702.
An acquiring unit 701, configured to acquire a plurality of positions in the target area that satisfy a preset condition. The preset conditions include one or more of the following: the number of terminals is greater than a preset number, the traffic is greater than a preset traffic, and the propagation loss is less than a preset loss. For example, in connection with fig. 4, the acquisition unit 701 may be used to perform S401.
The acquiring unit 701 is further configured to acquire service data of a plurality of candidate base stations deployed at a plurality of positions. The service data is used to represent the service status of the candidate base station corresponding to the service data. For example, in connection with fig. 4, the acquisition unit 701 may be used to perform S402.
A processing unit 702, configured to determine at least one candidate location based on the service data of the plurality of candidate base stations acquired by the acquiring unit 701. For example, in connection with fig. 4, the acquisition unit 701 may be used to perform S403.
The processing unit 702 is further configured to determine a target location for deploying the target base station based on the location information of the at least one candidate location and a preset algorithm. For example, in connection with fig. 4, the acquisition unit 701 may be used to perform S404.
Optionally, the processing unit 702 is specifically configured to:
carrying out normalization processing on the service data; the normalization process is used to convert the data format of the business data into the target format. For example, in connection with fig. 5, the processing unit 702 may be used to perform S501.
And determining deployment capability values of a plurality of candidate base stations based on the normalized service data. For example, in connection with fig. 5, the processing unit 702 may be used to perform S502.
And selecting at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations. For example, in connection with fig. 5, the processing unit 702 may be used to perform S503.
The deployment location of the at least one candidate base station is determined as the at least one candidate location. For example, in connection with fig. 5, the processing unit 702 may be used to perform S504.
Optionally, the processing unit 702 is specifically configured to:
the core density of the at least one candidate location is determined based on the location information of the at least one candidate location and a core density algorithm. For example, in connection with fig. 6, the processing unit 702 may be used to perform S601.
And selecting the candidate position with the nuclear density larger than or equal to a second preset value from the nuclear density of at least one candidate position as a target position. For example, in connection with fig. 6, the processing unit 702 may be used to perform S602.
Optionally, the service data includes: the method comprises the steps of total traffic data flow, total access terminals, total traffic income, total number of traffic, number of terminals with traffic flow larger than preset traffic, number of terminals with average consumption level in month larger than preset consumption level, number of terminals of preset machine type and number of terminals to be converted into a fifth generation mobile communication technology 5G terminal.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (6)
1. A method of deployment location determination, comprising:
acquiring a plurality of positions meeting preset conditions in a target area; the preset conditions include one or more of the following: the number of terminals is larger than the preset number, the communication traffic is larger than the preset traffic, and the propagation loss is smaller than the preset loss;
acquiring service data of a plurality of candidate base stations deployed at the plurality of positions; the service data is used for representing the service state of the candidate base station corresponding to the service data;
determining at least one candidate location based on traffic data of the plurality of candidate base stations, comprising: normalizing the service data; the normalization processing is used for converting the data format of the service data into a target format; determining deployment capability values of the plurality of candidate base stations based on the normalized service data; selecting at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations; determining a deployment location of the at least one candidate base station as the at least one candidate location; the determining deployment capability values of the plurality of candidate base stations based on the normalized service data includes: inputting all data in the normalized service data into a second formula, and determining deployment capability values of the plurality of candidate base stations, wherein the second formula is as follows:
Wherein n is a positive integer greater than zero, w is a deployment capability value of the candidate base station,w is the data of the nth dimension in the normalized service data n A weight coefficient for the nth dimension data;
determining a target location for deploying the target base station based on the location information of the at least one candidate location and a preset algorithm, comprising: determining a kernel density of the at least one candidate location based on the location information of the at least one candidate location and a kernel density algorithm; and selecting a candidate position with the nuclear density being greater than or equal to a second preset value from the nuclear densities of the at least one candidate position, and determining the candidate position as the target position.
2. The deployment location determination method of claim 1, wherein the service data comprises: the method comprises the steps of total traffic data flow, total access terminals, total traffic income, total number of traffic, number of terminals with traffic flow larger than preset traffic, number of terminals with average consumption level in month larger than preset consumption level, number of terminals of preset machine type and number of terminals to be converted into a fifth generation mobile communication technology 5G terminal.
3. A deployment location determination apparatus, comprising: an acquisition unit and a processing unit;
An acquisition unit configured to acquire a plurality of positions within a target area that satisfy a preset condition; the preset conditions include one or more of the following: the number of terminals is larger than the preset number, the communication traffic is larger than the preset traffic, and the propagation loss is smaller than the preset loss;
an obtaining unit, configured to obtain service data of a plurality of candidate base stations deployed at the plurality of positions; the service data is used for representing the service state of the candidate base station corresponding to the service data;
the processing unit is configured to determine at least one candidate position based on the service data of the plurality of candidate base stations acquired by the acquiring unit, and includes: normalizing the service data; the normalization processing is used for converting the data format of the service data into a target format; determining deployment capability values of the plurality of candidate base stations based on the normalized service data; selecting at least one candidate base station with the deployment capability value being greater than or equal to a first preset value from the deployment capability values of the plurality of candidate base stations; determining a deployment location of the at least one candidate base station as the at least one candidate location; the determining deployment capability values of the plurality of candidate base stations based on the normalized service data includes: inputting all data in the normalized service data into a second formula, and determining deployment capability values of the plurality of candidate base stations, wherein the second formula is as follows:
Wherein n is a positive integer greater than zero, w is a deployment capability value of the candidate base station,w is the data of the nth dimension in the normalized service data n A weight coefficient for the nth dimension data;
the processing unit is further configured to determine a target location for deploying the target base station based on the location information of the at least one candidate location and a preset algorithm, and includes: determining a kernel density of the at least one candidate location based on the location information of the at least one candidate location and a kernel density algorithm; and selecting a candidate position with the nuclear density being greater than or equal to a second preset value from the nuclear densities of the at least one candidate position, and determining the candidate position as the target position.
4. The deployment location determination apparatus of claim 3, wherein the service data comprises: the method comprises the steps of total traffic data flow, total access terminals, total traffic income, total number of traffic, number of terminals with traffic flow larger than preset traffic, number of terminals with average consumption level in month larger than preset consumption level, number of terminals of preset machine type and number of terminals to be converted into a fifth generation mobile communication technology 5G terminal.
5. A deployment location determination apparatus comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; the processor executes the computer-executable instructions stored by the memory to cause the deployment location determination device to perform the deployment location determination method of claim 1 or 2 when the deployment location determination device is operating.
6. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the deployment location determination method of claim 1 or 2.
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