CN111328082A - Base station planning method, device, equipment and storage medium - Google Patents
Base station planning method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a base station planning method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring network demand information in the coverage range of each preselected base station; determining the priority for upgrading each preselected base station according to the network demand information; and upgrading the preselected base stations to target base stations in sequence according to the priority. The method provided by the embodiment of the application can overcome the problems that the existing base station construction planning scheme lacks accurate judgment basis and planning means, so that the base station planning is inaccurate, and further the resource utilization rate is low.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a base station planning method, a base station planning device, base station planning equipment and a storage medium.
Background
The 900M wireless network has the characteristics of wide coverage, high transmission rate, strong real-time and spectrum adaptability and the like. In the initial stage of mobile communication network construction, the mobile communication network is mainly used for carrying 2G-GSM (users, with the development of an infinite communication technology, most of the users use 4G-FDD at present, the coverage range of a 2100M frequency band used by the 4G-FDD is smaller at present, in order to save cost, the existing GSM 900M wireless network is planned to be upgraded to an FDD-LTE900M base station, and the priority ranking of the upgrading of the GSM 900M wireless network is an important part for completing the upgrading of the FDD-LTE900M wireless network.
In the existing base station construction planning scheme, the number of users and the development level of an area are simply used as the judgment standard of user requirements in operation and are used as the main basis for base station planning and construction. That is, the base station is constructed in advance in the area with a large number of users and a good user quality, and correspondingly, the base station is constructed in the area with a small number of users and a poor user quality. Although the number of users and the development level of the region can reflect the user requirements of the region to a certain extent, the network requirements of the users are not specifically detailed, and the requirements of potential users are not really reflected.
Therefore, the existing base station construction planning scheme lacks accurate judgment basis and planning means, and may cause that the base station construction priority of a region really in need is relatively later, thereby causing low resource utilization rate.
Disclosure of Invention
The embodiment of the application provides a base station planning method, a base station planning device, base station planning equipment and a storage medium, and aims to solve the problems that an existing base station construction planning scheme lacks accurate judgment basis and planning means, so that base station planning is inaccurate, and further resource utilization rate is low.
In a first aspect, an embodiment of the present application provides a base station planning method, including:
acquiring network demand information in the coverage range of each preselected base station;
determining the priority for upgrading each preselected base station according to the network demand information;
and upgrading the preselected base stations to target base stations in sequence according to the priority.
In one possible design, the obtaining network requirement information within the coverage area of each pre-candidate base station includes:
acquiring attachment information in user signaling data of each pre-selected base station in a preset sampling time period;
determining the network type of each user mobile terminal in each preselected base station according to the attachment information;
according to each network type, screening a plurality of target mobile terminals supporting the target network type from each user mobile terminal, wherein one pre-selection base station corresponds to the plurality of target mobile terminals;
acquiring telephone traffic corresponding to the target mobile terminals;
and taking the telephone traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the preselected base station to which the target mobile terminals belong.
In a possible design, the determining, according to the attachment information, a network type of each user mobile terminal in each of the preselected base stations includes:
according to the attachment information, determining the unique identification code of each user mobile terminal in each pre-selected base station;
comparing each unique identification code with a tracking area code in a preset terminal information base respectively to determine the brand and the model of each user mobile terminal;
and determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
In one possible design, the determining a priority for upgrading each of the pre-candidate base stations according to the network demand information includes:
for each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
acquiring user information corresponding to the target mobile terminals;
taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
according to each target pre-selection base station, obtaining the traffic density of each target pre-selection base station through a target function;
and taking the sequence of the traffic density of each target pre-selection base station from large to small as the priority for upgrading each pre-selection base station.
In one possible design, the objective function is:
wherein,
representing the traffic density of the pre-selected base station,
i represents a mobile terminal number; k represents a preselected base station number; j represents a user number; n ismIndicating the number of mobile terminals; n isuRepresenting the number of users;
representing the number of target mobile terminals in the pre-candidate base station k;
representing the number of users consuming data by user j in preselected base station k; y is(i，j)Representing the jth user stability score of the ith mobile terminal; λ is the regularization parameter.
In a second aspect, an embodiment of the present application provides a base station planning apparatus, including:
the network demand information acquisition module is used for acquiring network demand information in the coverage range of each preselected base station;
the priority determining module is used for determining the priority for upgrading each pre-selected base station according to the network demand information;
and the base station upgrading module is used for sequentially upgrading the preselected base stations to target base stations according to the priority.
In one possible design, the network requirement information obtaining module includes:
an attachment information acquiring unit, configured to acquire attachment information in user signaling data of each preselected base station within a preset sampling time period;
a network type determining unit, configured to determine, according to the attachment information, a network type of each user mobile terminal in each preselected base station;
a target mobile terminal determining unit, configured to filter, according to each network type, multiple target mobile terminals that support a target network type from each user mobile terminal, where one pre-selection base station corresponds to the multiple target mobile terminals;
a telephone traffic acquiring unit, configured to acquire telephone traffic corresponding to the plurality of target mobile terminals;
and the network requirement information determining unit is used for taking the telephone traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the preselected base station to which the target mobile terminals belong.
In a possible design, the network type determining unit is specifically configured to:
according to the attachment information, determining the unique identification code of each user mobile terminal in each pre-selected base station;
comparing each unique identification code with a tracking area code in a preset terminal information base respectively to determine the brand and the model of each user mobile terminal;
and determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
In one possible design, the priority determination module is specifically configured to:
for each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
acquiring user information corresponding to the target mobile terminals;
taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
according to each target pre-selection base station, obtaining the traffic density of each target pre-selection base station through a target function;
and taking the sequence of the traffic density of each target pre-selection base station from large to small as the priority for upgrading each pre-selection base station.
In a third aspect, an embodiment of the present application provides a base station planning apparatus, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored by the memory to cause the at least one processor to perform the base station planning method as described above in the first aspect and in various possible designs of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the base station planning method described in the first aspect and various possible designs of the first aspect is implemented.
According to the base station planning method, the base station planning device, the base station planning equipment and the storage medium, network demand information in the coverage area of each pre-selected base station is obtained firstly, the upgrading construction demand of each pre-selected base station is comprehensively judged based on the network demand information, and then the upgrading priority of each pre-selected base station is determined; and then, upgrading construction is carried out on each pre-selection base station according to the priority, so that the upgrading requirement of each pre-selection base station is accurately and effectively judged, the base station planning is ensured to be accurate, the number of users capable of using the user network after the network is upgraded can be ensured to be large, and the resource utilization rate is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a base station planning method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a base station planning method according to another embodiment of the present application;
fig. 3 is a schematic flowchart of a base station planning method according to another embodiment of the present application;
fig. 4 is a schematic flowchart of a base station planning method according to yet another embodiment of the present application;
fig. 5 is a schematic structural diagram of a base station planning apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a base station planning apparatus provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, statistics is performed according to traffic conditions, and the traffic carried by a 2G network is very small. The traffic load carried by the single base station is weakly associated with the data traffic load which can be carried by the single base station after the single base station is upgraded to a 4G base station. There is no definite proportionality between the two sets of data, so it cannot be used to evaluate whether it should be upgraded to a 4G base station. Meanwhile, key factors such as resource utilization rate and whether a user terminal base band supports upgrading of an FDD-LTE900M wireless network are not considered in the traditional sequencing method, and the problem that the resource utilization rate is low due to inaccurate base station planning caused by the fact that an existing base station construction planning scheme lacks accurate judgment basis and planning means is solved.
Referring to fig. 1, fig. 1 is a schematic flowchart of a base station planning method according to an embodiment of the present disclosure.
The base station planning method comprises the following steps:
s101, network demand information in the coverage range of each pre-selected base station is obtained.
In practical application, the pre-selected base stations may be base stations in a certain area, and network upgrade needs to be performed on the base stations in the area.
The network requirement can be determined by the telephone traffic density, the telephone traffic can be based on the number of the user mobile phones corresponding to the user mobile phone attribute supporting a specific network system, and the network requirement can also comprise consumption data of the user using the mobile phones, stability scores and the like, so that the network requirement information is comprehensive information and not only the user traffic.
Specifically, the network demand information in the coverage area of each pre-selection base station may be obtained by directly obtaining the network demand information of the area where each pre-selection base station is located from the number of user mobile phones, consumption data of the user mobile phones, stability scores, and the like corresponding to the user mobile phone attributes supporting the specific network system, stored in a preset database. Alternatively, referring to fig. 2, fig. 2 is a schematic flow chart of a base station planning method according to another embodiment of the present application, and this embodiment describes S101 in detail on the basis of the foregoing embodiment, for example, on the basis of the embodiment described in fig. 1. The acquiring network requirement information in the coverage area of each preselected base station includes:
s201, acquiring attachment information in user signaling data of each pre-selected base station in a preset sampling time period;
s202, determining the network type of each user mobile terminal in each preselected base station according to the attachment information;
s203, according to each network type, screening a plurality of target mobile terminals supporting the target network type from each user mobile terminal, wherein one preselected base station corresponds to the plurality of target mobile terminals;
s204, acquiring the telephone traffic corresponding to the plurality of target mobile terminals;
s205, taking the traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the pre-selected base station to which the target mobile terminals belong.
In practical application, the mobile terminal may be a mobile phone, and the attachment information in signaling data of all users in a certain province of 4 hours with busy 2G base station service is captured, where the attachment information includes a unique identification code of the mobile phone used by the user, and the mobile phone attribute of the user may be determined through the unique identification code, where the mobile phone attribute may be a network standard supported by the mobile phone, the preselected base station is upgraded to a target base station of the user supporting the FDD L9004G mobile phone, and the attribute supporting the FDD L9004G mobile phone is the target network standard.
And then, aiming at each pre-selection base station, selecting a target mobile terminal which accords with the target network system from each network system, wherein a plurality of target mobile terminals may exist in one pre-selection base station. And counting the user quantity of the target mobile terminal used in each pre-selection base station, taking the user quantity as the telephone traffic of the pre-selection base station, wherein the network requirement information comprises the telephone traffic.
Specifically, how to determine the network standard of each user mobile terminal in each pre-selected base station, refer to fig. 3, where fig. 3 is a schematic flow chart of a base station planning method provided in another embodiment of the present application, and this embodiment describes S202 in detail on the basis of the above-described embodiment, for example, on the basis of the embodiment described in fig. 2. The determining the network type of each user mobile terminal in each preselected base station according to the attachment information comprises the following steps:
s301, according to the attachment information, determining a unique identification code of each user mobile terminal in each preselected base station;
s302, comparing each unique identification code with a tracking area code in a preset terminal information base respectively, and determining the brand and the model of each user mobile terminal;
s303, determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
In this embodiment, the unique identifier may be an imei (international Mobile equipment identity), which is an abbreviation of an international Mobile equipment identifier and is commonly referred to as a "Mobile phone serial number", and a "Mobile phone serial number".
Specifically, the unique identification code of each mobile terminal is compared with a tracking area code (i.e., TSC field) in a preset terminal information base, so as to obtain the brand and model of the mobile terminal of the user, i.e., the brand and model of the mobile phone actually used by the user, and obtain the network system supported by the mobile phone of the user, such as 2G, 3G, or 4G, through the information of the brand and model of the mobile phone.
And S102, determining the upgrading priority of each pre-selected base station according to the network demand information.
In the embodiment, the priority for upgrading each preselected base station is determined according to the telephone traffic in the sampling time period and the user details; alternatively, each of the pre-selected base stations may be ranked according to traffic volume. Specifically, the 4G-FDD terminal user volumes borne by the 2G base stations in the area are sorted from high to low, where the order is the priority for upgrading each pre-selection base station.
S103, upgrading the preselected base stations to target base stations in sequence according to the priority.
In this embodiment, the base station with the highest rank is preferentially upgraded to a 900M FDD base station, i.e., a target base station.
In this embodiment, first, network demand information within the coverage area of each pre-selection base station is obtained, and based on the network demand information, the upgrade construction demand of each pre-selection base station is comprehensively judged, so as to determine the priority for upgrading each pre-selection base station; and then, upgrading construction is carried out on each pre-selection base station according to the priority, so that the upgrading requirement of each pre-selection base station is accurately and effectively judged, the base station planning is ensured to be accurate, the number of users capable of using the user network after the network is upgraded can be ensured to be large, and the resource utilization rate is improved.
How to determine the upgrade priority of each pre-selected base station, see fig. 4, where fig. 4 is a schematic flowchart of a base station planning method according to yet another embodiment of the present application, and this embodiment describes S102 in detail on the basis of the above-mentioned embodiment, for example, on the basis of the embodiment described in fig. 3. The determining the priority of upgrading each pre-selected base station according to the network demand information includes:
s401, aiming at each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
s402, acquiring user information corresponding to the target mobile terminals;
s403, taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
s404, obtaining the traffic density of each target pre-selection base station through a target function according to each target pre-selection base station;
s405, the sequence of the traffic density of each target pre-selection base station from large to small is used as the priority for upgrading each pre-selection base station.
Wherein the objective function is:
wherein,
representing the traffic density of the pre-selected base station, i representing the mobile terminal number; k represents a preselected base station number; j represents a user number; n ismIndicating the number of mobile terminals; n isuRepresenting the number of users;
representing the number of target mobile terminals in the pre-candidate base station k;
representing the number of users consuming data by user j in preselected base station k; y is(i，j)Representing the jth user stability score of the ith mobile terminal; λ is positiveThe parameters are normalized.
In practical application, 2G in a planning range is screened and sorted, the users carrying and using a baseband supporting FDD L9004G mobile phone under a preselected base station are sorted from more to less, a base station combination scheme meeting a preselected base station planning objective function is selected as a priority upgrading base station planning scheme, and the establishment priority of the base station is evaluated through the 4G terminal traffic density in the base station coverage range.
In order to comprehensively evaluate the value and improve the resource utilization rate, the mobile phone attribute of the user, the user consumption and the stability score are evaluated, meanwhile, the regularization parameter is used for reducing the deviation degree of the user evaluation value, and the final optimized objective function value is the cosine distance of all the user evaluation values under a single base station, namely
Therefore, the three aspects of the user mobile phone attribute, the user consumption and the stability score are used as a base station combination scheme of a preselected base station planning objective function.
Specifically, the independent variables in the objective function, that is, the number of the target mobile terminals corresponding to each target pre-selection base station, the user information corresponding to the target mobile terminals, such as the number of users consuming data corresponding to the target mobile terminals and the user stability scores corresponding to the target mobile terminals, are obtained, then the independent variables in the objective function are input into the objective function to obtain the traffic density of each target pre-selection base station, then the traffic density of each target pre-selection base station is ranked from high to low, and a ranked high is a priority that is raised to the priority of the target pre-selection base station of the target base station.
The invention brings all 2G base stations in the planning range into the planning range of the base stations, selects a scheme which can best meet the initial design of construction as a final preferred scheme from the basic purpose of base station planning on the premise of meeting the network coverage rate, and evaluates the priority of construction of each base station by the network requirement in the coverage range of each base station (the base station is a preselected base station, namely the base station in the planning range) in the scheme. The planning scheme made by the method is superior to the base station planning scheme in the prior art in terms of reasonableness and feasibility, and provides theoretical basis and evaluable standard for the planning of the base station.
In order to implement the base station planning method, the present embodiment provides a base station planning apparatus. Referring to fig. 5, fig. 5 is a schematic structural diagram of a base station planning apparatus provided in the embodiment of the present application; the base station planning apparatus 50 includes: a network requirement information acquisition module 501, a priority determination module 502 and a base station upgrading module 503; a network requirement information obtaining module 501, configured to obtain network requirement information within a coverage area of each preselected base station; a priority determining module 502, configured to determine, according to the network demand information, a priority for upgrading each preselected base station; and a base station upgrading module 503, configured to upgrade, according to the priority, each pre-selected base station to a target base station in sequence.
In this embodiment, a network demand information obtaining module 501, a priority determining module 502, and a base station upgrading module 503 are provided, and are configured to obtain network demand information in a coverage area of each pre-selection base station, comprehensively judge an upgrading construction demand of each pre-selection base station based on the network demand information, and further determine a priority for upgrading each pre-selection base station; and then, upgrading construction is carried out on each pre-selection base station according to the priority, so that the upgrading requirement of each pre-selection base station is accurately and effectively judged, the base station planning is ensured to be accurate, the number of users capable of using the user network after the network is upgraded can be ensured to be large, and the resource utilization rate is improved.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
In one possible design, the network requirement information obtaining module includes:
an attachment information acquiring unit, configured to acquire attachment information in user signaling data of each preselected base station within a preset sampling time period;
a network type determining unit, configured to determine, according to the attachment information, a network type of each user mobile terminal in each preselected base station;
a target mobile terminal determining unit, configured to filter, according to each network type, multiple target mobile terminals that support a target network type from each user mobile terminal, where one pre-selection base station corresponds to the multiple target mobile terminals;
a telephone traffic acquiring unit, configured to acquire telephone traffic corresponding to the plurality of target mobile terminals;
and the network requirement information determining unit is used for taking the telephone traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the preselected base station to which the target mobile terminals belong.
In a possible design, the network type determining unit is specifically configured to:
according to the attachment information, determining the unique identification code of each user mobile terminal in each pre-selected base station;
comparing each unique identification code with a tracking area code in a preset terminal information base respectively to determine the brand and the model of each user mobile terminal;
and determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
In one possible design, the priority determination module is specifically configured to:
for each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
acquiring user information corresponding to the target mobile terminals;
taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
according to each target pre-selection base station, obtaining the traffic density of each target pre-selection base station through a target function;
and taking the sequence of the traffic density of each target pre-selection base station from large to small as the priority for upgrading each pre-selection base station.
In order to implement the base station planning method, the embodiment provides a base station planning device. Fig. 6 is a schematic structural diagram of a base station planning apparatus provided in an embodiment of the present application. As shown in fig. 6, the base station planning apparatus 60 of the present embodiment includes: a processor 601 and a memory 602; a memory 602 for storing computer-executable instructions; the processor 601 is configured to execute the computer-executable instructions stored in the memory to implement the steps performed in the above embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
An embodiment of the present application further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the base station planning method as described above is implemented.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form. In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus. The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (11)
1. A method for base station planning, comprising:
acquiring network demand information in the coverage range of each preselected base station;
determining the priority for upgrading each preselected base station according to the network demand information;
and upgrading the preselected base stations to target base stations in sequence according to the priority.
2. The method of claim 1, wherein the obtaining the network requirement information within the coverage area of each pre-selected base station comprises:
acquiring attachment information in user signaling data of each pre-selected base station in a preset sampling time period;
determining the network type of each user mobile terminal in each preselected base station according to the attachment information;
according to each network type, screening a plurality of target mobile terminals supporting the target network type from each user mobile terminal, wherein one pre-selection base station corresponds to the plurality of target mobile terminals;
acquiring telephone traffic corresponding to the target mobile terminals;
and taking the telephone traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the preselected base station to which the target mobile terminals belong.
3. The method of claim 2, wherein said determining the network type of each ue in each of the pre-candidate base stations according to the attachment information comprises:
according to the attachment information, determining the unique identification code of each user mobile terminal in each pre-selected base station;
comparing each unique identification code with a tracking area code in a preset terminal information base respectively to determine the brand and the model of each user mobile terminal;
and determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
4. The method of claim 3, wherein said determining a priority for upgrading each of said preselected base stations based on said network demand information comprises:
for each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
acquiring user information corresponding to the target mobile terminals;
taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
according to each target pre-selection base station, obtaining the traffic density of each target pre-selection base station through a target function;
and taking the sequence of the traffic density of each target pre-selection base station from large to small as the priority for upgrading each pre-selection base station.
5. The method of claim 4, wherein the objective function is:
wherein,
representing the traffic density of the pre-selected base station, i representing the mobile terminal number; k represents a preselected base station number; j represents a user number; n ismIndicating the number of mobile terminals; n isuRepresenting the number of users;
representing the number of target mobile terminals in the pre-candidate base station k;
representing the number of users consuming data by user j in preselected base station k; y is(i,j)Representing the jth user stability score of the ith mobile terminal; λ is the regularization parameter.
6. A base station planning apparatus, comprising:
the network demand information acquisition module is used for acquiring network demand information in the coverage range of each preselected base station;
the priority determining module is used for determining the priority for upgrading each pre-selected base station according to the network demand information;
and the base station upgrading module is used for sequentially upgrading the preselected base stations to target base stations according to the priority.
7. The apparatus of claim 6, wherein the network requirement information obtaining module comprises:
an attachment information acquiring unit, configured to acquire attachment information in user signaling data of each preselected base station within a preset sampling time period;
a network type determining unit, configured to determine, according to the attachment information, a network type of each user mobile terminal in each preselected base station;
a target mobile terminal determining unit, configured to filter, according to each network type, multiple target mobile terminals that support a target network type from each user mobile terminal, where one pre-selection base station corresponds to the multiple target mobile terminals;
a telephone traffic acquiring unit, configured to acquire telephone traffic corresponding to the plurality of target mobile terminals;
and the network requirement information determining unit is used for taking the telephone traffic corresponding to the target mobile terminals as one item of network requirement information in the coverage range of the preselected base station to which the target mobile terminals belong.
8. The apparatus according to claim 7, wherein the network type determining unit is specifically configured to:
according to the attachment information, determining the unique identification code of each user mobile terminal in each pre-selected base station;
comparing each unique identification code with a tracking area code in a preset terminal information base respectively to determine the brand and the model of each user mobile terminal;
and determining the network type of each user mobile terminal according to the brand and the model of each user mobile terminal.
9. The apparatus of claim 8, wherein the priority determination module is specifically configured to:
for each pre-selection base station, sequencing the telephone traffic corresponding to each target mobile terminal from high to low to obtain each sequenced target pre-selection base station, wherein the telephone traffic comprises the number of the target mobile terminals;
acquiring user information corresponding to the target mobile terminals;
taking the user information as one item of network demand information in the coverage range of a preselected base station to which the target mobile terminals belong, wherein the user information comprises the user number of user consumption data corresponding to the target mobile terminals and user stability scores corresponding to the target mobile terminals;
according to each target pre-selection base station, obtaining the traffic density of each target pre-selection base station through a target function;
and taking the sequence of the traffic density of each target pre-selection base station from large to small as the priority for upgrading each pre-selection base station.
10. A base station planning apparatus, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the base station planning method of any of claims 1-5.
11. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the base station planning method of any one of claims 1-5.
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