CN108322915B - Information processing method and device for base station planning - Google Patents

Information processing method and device for base station planning Download PDF

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Publication number
CN108322915B
CN108322915B CN201810455833.5A CN201810455833A CN108322915B CN 108322915 B CN108322915 B CN 108322915B CN 201810455833 A CN201810455833 A CN 201810455833A CN 108322915 B CN108322915 B CN 108322915B
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information
base station
region
area
user
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CN108322915A (en
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许丹丹
刘楠
刘静沙
刘颖慧
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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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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Abstract

The invention provides an information processing method and device for base station planning, wherein the method comprises the following steps: acquiring first resource use information and user scale prediction information of each region in a preset region range; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used for characterizing the change of the number of users and/or population of the area in a second time period in the future along with the time; determining second resource use information of the region according to the first resource use information and the user scale prediction information of the region; and determining base station planning information of the region range according to the second resource use information of each region in the region range, wherein the base station planning information is used for representing the distribution condition of base stations in the planned region range. The planning result of the invention can accurately match the requirements of each region and the overall requirements of the region range.

Description

Information processing method and device for base station planning
Technical Field
The present invention relates to the field of information technologies, and in particular, to an information processing method and apparatus for base station planning.
Background
With the development of mobile communication technology, in order to meet the requirements of users on wireless network communication, the planning of wireless networks is increasingly important, and the planning of base stations, which is one of the keys of network planning, is more important.
In the existing base station planning method, the distribution situation of base stations in a future region range can be planned according to the design experience of personnel and the distribution situation of existing stock base stations.
However, the quality of the distribution planned by the method depends on the design experience of related personnel and the subjective consideration of the personnel, so that the method cannot accurately match the actual demand for network resources in a regional range.
Disclosure of Invention
The invention provides an information processing method and device for base station planning, which aim to solve the problem that the actual requirements for network resources in a region range cannot be accurately matched.
According to a first aspect of the present invention, there is provided an information processing method for base station planning, including:
acquiring first resource use information and user scale prediction information of each region in a preset region range; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used for characterizing the change of the number of users and/or population of the area in a second time period in the future along with the time;
determining second resource usage information of the area according to the first resource usage information and the user scale prediction information of the area, wherein the second resource usage information is used for representing the total usage amount and/or the change of the usage amount of the network resources in the area with time in the second time period;
and determining base station planning information of the region range according to the second resource use information of each region in the region range, wherein the base station planning information is used for representing the distribution condition of the base station to be planned in the region range and the configuration information of the base station with the plan.
Optionally, before determining the base station planning information of the region range according to the second resource usage information of each region in the region range, the method further includes:
acquiring existing base station information in the region range, wherein the existing base station information is used for representing the distribution condition of existing base stations in the region range in the first time period and the configuration information of the existing base stations;
the determining, according to the second resource usage information of each region in the region range, the base station planning information of the region range includes:
and determining the base station planning information according to the second resource use information of each area in the region range and the existing base station information.
Optionally, the configuration information of the existing base station is used to characterize at least one of:
the construction type of the existing base station, the use type of the existing base station, the scale type of the existing base station and the network resource output capability information of the existing base station.
Optionally, the configuration information of the base station to be planned is used to characterize at least one of:
the method comprises the steps of establishing a base station to be planned, using the base station to be planned, scale type of the base station to be planned and network resource output capacity information of the base station to be planned.
Optionally, the construction types of the base station include a floor station, a newly-built machine room, and a rental modification machine room; the use types of the base station comprise old sharing, new sharing and new exclusive sharing; the scale types of the base stations comprise macro base stations and small base stations.
Optionally, the obtaining the first resource usage information of each area in the region range includes:
acquiring all terminal interaction information in the region range, wherein the terminal interaction information is information generated by the behavior of using the network service by the user;
determining correspondence between the region to which the place of occurrence of the behavior belongs and terminal interaction information generated by the behavior;
and calculating the first resource use information of each region according to the terminal interaction information corresponding to the region.
Optionally, the terminal interaction information is used to characterize at least one of the following:
the place of occurrence of the action, the time of occurrence of the action, the type of network service used by the action, the size of network resources used by the action, and the cost of consumption incurred by the action.
Optionally, the obtaining of the user scale prediction information of each area in the region range includes:
predicting to obtain user scale prediction information of the region according to the current user scale information of the region, the user scale influence elements corresponding to the region, evaluation parameters aiming at the user scale influence elements and a preset or trained measurement model; the current user scale information is used for representing the number of users and/or population of the current area; the user scale influence element is a preset element which influences the change of the regional user scale; the evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user.
The user size influencing element comprises at least one of:
the number of business circles contained in the area, the type of business circles, the number or proportion of resident population in the area, the competition situation of operators in the area, the number of residential areas of the area, and the type of residential areas.
According to a second aspect of the present invention, there is provided an information processing apparatus for base station planning, comprising:
the first acquisition module is used for acquiring first resource use information and user scale prediction information of each area in a preset region range; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used for characterizing the change of the number of users and/or population of the area in a second time period in the future along with the time;
a second resource usage information determining module, configured to determine second resource usage information of the area according to the first resource usage information of the area and the user scale prediction information, where the second resource usage information is used to characterize a total usage amount of the network resources in the area in the second time period and/or a change of the usage amount with time;
and the base station planning module is used for determining base station planning information of the region range according to the second resource use information of each region in the region range, wherein the base station planning information is used for representing the distribution condition of the base station to be planned in the region range and the configuration information of the base station to be planned.
Optionally, the apparatus further includes:
a second obtaining module, configured to obtain information of an existing base station in the region range, where the information of the existing base station is used to represent a distribution situation of the existing base station in the region range in the first time period and configuration information of the existing base station;
the base station planning module is specifically configured to determine the base station planning information according to the second resource usage information of each area in the region range and the existing base station information.
Optionally, the configuration information of the existing base station includes at least one of:
the construction type of the existing base station, the use type of the existing base station, the scale type of the existing base station and the network resource output capability information of the existing base station.
Optionally, the configuration information of the base station to be planned is used to characterize at least one of:
the method comprises the steps of establishing a base station to be planned, using the base station to be planned, scale type of the base station to be planned and network resource output capacity information of the base station to be planned.
Optionally, the construction types of the base station include a floor station, a newly-built machine room, and a rental modification machine room; the use types of the base station comprise old sharing, new sharing and new exclusive sharing; the scale types of the base stations comprise macro base stations and small base stations.
Optionally, the first obtaining module is specifically configured to:
acquiring all terminal interaction information in the region range, wherein the terminal interaction information is information generated by the behavior of using the network service by the user;
determining correspondence between the region to which the place of occurrence of the behavior belongs and terminal interaction information generated by the behavior;
and calculating the first resource use information of each region according to the terminal interaction information corresponding to the region.
Optionally, the terminal interaction information is used to characterize at least one of the following:
the place of occurrence of the action, the time of occurrence of the action, the type of network service used by the action, the size of network resources used by the action, and the cost of consumption incurred by the action.
Optionally, the first obtaining module is specifically configured to:
predicting to obtain user scale prediction information of the region according to the current user scale information of the region, the user scale influence elements corresponding to the region, evaluation parameters aiming at the user scale influence elements and a preset or trained first prediction model; the current user scale information is used for representing the number of users and/or population of the current area; the user scale influence element is a preset element which influences the change of the regional user scale; the evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user.
Optionally, the user scale influencing element includes at least one of:
the number of business circles contained in the area, the type of business circles, the number or proportion of resident population in the area, the competition situation of operators in the area, the number of residential areas of the area, and the type of residential areas.
According to a third aspect of the present invention, there is provided an electronic apparatus comprising: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the first aspect and the method to which it may relate.
According to a fourth aspect of the present invention, there is provided a storage medium storing a computer program which, when executed, implements the first aspect and methods to which it may relate.
The information processing method and the device for base station planning provided by the invention can accurately reflect the current demand condition of network resources and the future change of user scale because the second resource use information is obtained according to the first resource use information of the past first time period and the predicted user scale prediction information, thereby enabling the base station planning information to fully consider the demands of each area in the region range, and then the planning result can be accurately matched with the requirements of each area and the overall requirements of the region range.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an information processing method for base station planning according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an information processing method for base station planning according to another embodiment of the present invention;
FIG. 3 is a schematic flow chart of step S21 in FIG. 2;
fig. 4 is a schematic structural diagram of an information processing apparatus for base station planning according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an information processing apparatus for base station planning according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the 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 invention described herein are capable of operation in sequences other than those illustrated or 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.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a flowchart illustrating an information processing method for base station planning according to an embodiment of the present invention.
Referring to fig. 1, an information processing method for base station planning includes:
s11: the method comprises the steps of obtaining first resource use information and user scale prediction information of each area in a preset area range.
The first resource usage information may be understood to be used to characterize the total amount of usage and/or the amount of usage of the network resources in the area over time in the past first time period, wherein the total amount of usage and the amount of usage of the network resources may be generated upstream traffic and/or downstream traffic.
By utilizing the first resource use information, the actual situation of using network resources in the region can be objectively reflected, and further reliable practical basis is provided for the second resource use information and base station planning.
The first time period is understood to be any time period prior to the current time.
User size prediction information, which may be understood as the number of users and/or populations characterizing the area over time in a second period of time in the future; the change of the number can be represented at any time interval, and at the same time, the scale of the users after the second time period is passed can also be represented by the number of users and/or population at the end time of the second time period.
The use condition of the network resource can be adaptively changed according to different user scales, so that the possible change condition of the user scale can be reflected by using the user scale prediction information, and the obtained second resource use information can better fit the actual requirement under the user scale change.
The second time period is understood to be any time period after the current time. The first time period and the second time period may be the same length of time period or may be different.
In addition, the relationship between the geographical area and the region can be understood as that the geographical area includes regions, which may be arbitrarily divided by a person or determined administrative divisions.
S12: and determining second resource use information of the region according to the first resource use information and the user scale prediction information of the region.
The second resource usage information may be understood as characterizing a total amount of usage and/or a change in amount of usage of the network resources in the area over time during the second time period. Since the second time period is a time period after the current time, the second resource usage information may also be understood as a predicted total usage amount of the network resources in the area within the second time period and/or a predicted change in the usage amount with time.
S13: and determining the base station planning information of the region range according to the second resource use information of each region in the region range.
The base station planning information may be understood as information for characterizing the distribution of the base stations to be planned within the geographical area, and the configuration information of the base stations to be planned. The distribution situation can be understood as the location of the base station, and the configuration information can be understood as the type of the base station, the network resource output capability of the base station, how the base station configures software and hardware devices, and the like.
The information processing method for base station planning provided in this embodiment determines, by obtaining first resource usage information and user scale prediction information of each area within a preset area, determining second resource usage information of the area according to the first resource usage information and the user scale prediction information of the area, and determining base station planning information of the area according to the second resource usage information of each area within the area, so that the base station planning can be based on the second resource usage information of each area, and since the second resource usage information is obtained according to the first resource usage information of the past first time period and the predicted user scale prediction information, it can more accurately reflect the current demand situation of network resources and the future change of user scale, so that the base station planning information can fully consider the demands of each area within the area, and then the planning result can be accurately matched with the requirements of each area and the overall requirements of the region range.
Fig. 2 is a flowchart illustrating a base station planning method according to another embodiment of the present invention.
Referring to fig. 2, the base station planning method includes:
s21: the method comprises the steps of obtaining first resource use information and user scale prediction information of each area in a preset area range.
The first resource usage information may be understood to be used to characterize the total amount of usage and/or the amount of usage of the network resources in the area over time in the past first time period, wherein the total amount of usage and the amount of usage of the network resources may be generated upstream traffic and/or downstream traffic.
By utilizing the first resource use information, the actual situation of using network resources in the region can be objectively reflected, and further reliable practical basis is provided for the second resource use information and base station planning.
The first time period is understood to be any time period prior to the current time.
User size prediction information, which may be understood as the number of users and/or populations characterizing the area over time in a second period of time in the future; the change of the number can be represented at any time interval, and at the same time, the scale of the users after the second time period is passed can also be represented by the number of users and/or population at the end time of the second time period.
Meanwhile, the user may refer to a user of one operator, or may refer to users of multiple operators.
The use condition of the network resource can be adaptively changed according to different user scales, so that the possible change condition of the user scale can be reflected by using the user scale prediction information, and the obtained second resource use information can better fit the actual requirement under the user scale change.
The second time period is understood to be any time period after the current time. The first time period and the second time period may be the same length of time period or may be different.
In addition, the relationship between the geographical area and the region can be understood as that the geographical area includes regions, which may be arbitrarily divided by a person or determined administrative divisions.
In a specific implementation process, different regions can be distinguished according to region codes, and information of different times can be determined by dates divided by months, wherein 18 months can be used as a reference, that is, the length of the first time period and/or the second time period can be 18 months.
Fig. 3 is a schematic flowchart of step S21 in fig. 2.
Referring to fig. 3, step S21 includes:
s211: and acquiring all terminal interaction information in the region range.
The terminal interaction information can be understood as information generated by the behavior of using the network service by the user; the terminal interaction information may be directly obtained or generated by the operator after the above behavior occurs, for example, the terminal interaction information may be distributed to each server of the platform or may be centrally stored, and then the embodiment may obtain the terminal interaction information, thereby implementing integration of the dispersed data.
Meanwhile, the terminal interaction information can be updated in real time or periodically according to the continuous generation of the behaviors in the region range, so that the first resource utilization information obtained by the embodiment can be updated in time.
In one embodiment, the terminal interaction information may be used to characterize at least one of:
the place of occurrence of the action, the time of occurrence of the action, the type of network service used by the action, the size of network resources used by the action, and the cost of consumption incurred by the action.
S212: and determining correspondence between the region to which the place of the action belongs and the terminal interaction information generated by the action.
Through the steps, the behaviors can be corresponding to the regions, so that a basis is provided for the first resource use information of the subsequent calculation region.
S213: and calculating the first resource use information of each region according to the terminal interaction information corresponding to the region.
Although the above information about the type and consumption cost of the network service does not directly reflect the usage of the network resource, the type and consumption cost of different network services may indirectly reflect the usage of the network resource, for example: for video related network services, the network resources used are more, and for text related network services, the network resources used are probably less. The use condition of the network resources can be calculated through the information such as the type and the consumption cost of the network service, or the use condition of the network resources obtained through statistics, or the size and other information of the network resources used by the behaviors are corrected, supplemented and adjusted, so that the calculated first resource use information is more targeted and can reflect the requirements more accurately.
S214: and predicting to obtain the user scale prediction information of the region according to the current user scale information of the region, the user scale influence element corresponding to the region, the evaluation parameter aiming at the user scale influence element and a preset or trained prediction model.
The current user size information may be understood as the number of users and/or population used to characterize the area in question. The current user size information and the user size prediction information may be data characterizing the same category, for example, each including the number of users and the number of people. In other alternative embodiments, the current user size information and the user size prediction information may be different types of data.
The user scale influence element can be understood as a preset element influencing the change of the scale of the regional users. Which may be any content that can be preset manually. In one embodiment, the user scale influencing element comprises at least one of: the number of business circles contained in the area, the type of business circles, the number or proportion of resident population in the area, the competition situation of operators in the area, the number of residential areas of the area, and the type of residential areas.
The evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user. The content of the parameter can be set according to element deems, and if the element can be evaluated by quantitative data, such as the number of business circles, the number or proportion of resident population, the number of residential areas and the like, the evaluation parameter can be a specific numerical value; if the element can be evaluated by a preset type, such as the type of a business district, the type of a residential district, etc., the evaluation parameter may be a specific type thereof; taking the type of the business district as an example, the specific parameters can be, for example, an address business district, a newly built business district, an old business district, and the like; the elements can be evaluated by artificial evaluation levels, for example, the competition situation of operators in the region can be evaluated by information with high, medium and low competition, and the information with high, medium and low competition can be used as evaluation parameters.
The preset or trained prediction model may be any model capable of realizing prediction, in one embodiment, the model may be established by a (random forest), a support vector machine (svm), a linear regression, or other prediction models, and parameters of the model may be determined by training according to historical data or may be determined by human setting. Any existing model may be used in the prediction without departing from the scope of the present embodiments.
Further, the above step S214 may be performed after step S213, at any time between, before, or after step S211 and step S213, or in parallel therewith, as long as the above processes are performed separately.
S22: and determining second resource use information of the region according to the first resource use information and the user scale prediction information of the region.
The second resource usage information may be understood as characterizing a total amount of usage and/or a change in amount of usage of the network resources in the area over time during the second time period. Since the second time period is a time period after the current time, the second resource usage information may also be understood as a predicted total usage amount of the network resources in the area within the second time period and/or a predicted change in the usage amount with time.
The relationship between the first resource usage information and the second resource usage information, in one embodiment, may be understood as data of the same type, the first resource usage information is data of a first time period before, and the second resource usage information is predicted data of a second time period after; in other embodiments, both may also be different classes of data, such as: the first resource usage information characterizes a change in network resource usage over time in the area, and the second resource usage information characterizes a total amount of network resource usage in the area.
In the process of determining the second resource usage information, an arbitrary calculation model may be used to correspondingly determine the change of the first resource usage information according to the change of the user scale, for example: if the user scale is in an ascending trend, the second resource use information is also in an ascending trend relative to the first resource use information; if the user scale is in a trend of ascending and then descending, and the second resource usage information and the first resource usage information can both represent the change of the usage amount along with time, the second resource usage information is also in a change of ascending first and then descending along with time. In the above, only two simpler variation modes are listed, and in the specific implementation process, the variation of the resource usage information may be more complicated and varied. Through the steps, the future network resource use condition can be predicted more accurately.
S23: and acquiring the existing base station information of the region range.
The existing base station information may be understood as the distribution condition of the existing base stations in the region range in the first time period and the configuration information of the existing base stations. The distribution situation can be understood as the location of the base station, and the configuration information can be understood as the type of the base station, the network resource output capability of the base station, how the base station configures software and hardware devices, and the like.
In one embodiment, the configuration information of the existing base station includes at least one of: the construction type of the existing base station, the use type of the existing base station, the scale type of the existing base station and the network resource output capability information of the existing base station.
The existing base station information is obtained, and basis can be provided for planning of the base station, so that the planning result can be based on the capability of the existing base station, the effect of meeting the demand with small adjustment can be achieved, and the base station construction is prevented from generating large influence on the distribution of the existing base station.
S24: and determining the base station planning information of the region range according to the second resource use information of each region in the region range.
In the case of acquiring the existing base station information, step S24 may specifically include: and determining the base station planning information according to the second resource use information of each area in the region range and the existing base station information.
The base station planning information may be understood as information for characterizing the distribution of the planned base stations in the geographical area, and the configuration information of the base stations to be planned. The distribution situation can be understood as the location of the base station, and the configuration information can be understood as the type of the base station, the network resource output capability of the base station, how the base station configures software and hardware devices, and the like.
In one embodiment, the construction types of the base station comprise a floor station, a newly-built machine room and a renting reconstruction machine room; the use types of the base station comprise old sharing, new sharing and new exclusive sharing; the scale types of the base stations comprise macro base stations and small base stations.
The distribution condition of the base stations can also be understood as the positions of the base stations, and can be specifically represented by the coverage radius of the base stations, the inter-station distance, the site density and the like.
The relationship between the second resource usage information and the base station planning information may be obtained by using a preset or trained another calculation model, for example, a calculation model may be established by using an objective function and a constraint condition to obtain the base station planning information, or information that may be used to determine the base station planning information may be obtained, the model may be trained by using the previous resource usage information and the base station planning information to determine parameters of the model, and then the second resource usage information is input into the model, and the base station planning information may be output, or information that may be used to determine the base station planning information may be output.
Therefore, in the embodiment, the base station construction is combined with the terminal interaction information which can embody the user characteristics, the existing base station information which embodies the existing base station characteristics, and the user scale prediction information which can embody the city planning, so that indexes such as the future base station position, type and use type are precisely matched.
In addition, the embodiment can be applied to the 5G field, and is different from the development target that the 4G focuses on improving the network speed, and the 5G focuses on improving the network speed and also includes perfecting the network blind spot and considering the differentiated user experience. In the aspect of site selection of the base station, the base station construction is combined with user characteristics, base station stock and city planning based on 5G high-flow and high-speed network characteristics, and indexes such as the position, type and use type of the future 5G base station are accurately matched.
The information processing method for base station planning provided in this embodiment determines, by obtaining first resource usage information and user scale prediction information of each area within a region, according to the first resource usage information and the user scale prediction information of the area, second resource usage information of the area, and according to the second resource usage information of each area within the region, determining base station planning information of the region, so that the base station planning can be based on the second resource usage information of each area, and since the second resource usage information is obtained according to the first resource usage information of the past first time period and the predicted user scale prediction information, it can more accurately reflect the current demand situation of network resources and the future change of user scale, and further make the base station planning information fully consider the demands of each area within the region, and then the planning result can be accurately matched with the requirements of each area and the overall requirements of the region range.
Fig. 4 is a schematic structural diagram of an information processing apparatus for base station planning according to an embodiment of the present invention.
Referring to fig. 4, an information processing apparatus 300 for base station planning includes:
a first obtaining module 301, configured to obtain first resource usage information and user scale prediction information of each area within a preset geographic area; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used to characterize a change in the number of users and/or populations of the area over time over a future second time period.
A second resource usage information determining module 302, configured to determine, according to the first resource usage information and the user scale prediction information of the area, second resource usage information of the area, where the second resource usage information is used to characterize a total usage amount of the network resources in the area in the second time period and/or a change of the usage amount with time.
The base station planning module 303 is configured to determine base station planning information of the region range according to the second resource usage information of each region in the region range, where the base station planning information is used to represent a distribution situation of a base station to be planned in the region range and configuration information of the base station to be planned.
The information processing apparatus for base station planning provided in this embodiment determines, by obtaining first resource usage information and user scale prediction information of each area within a preset area, determining second resource usage information of the area according to the first resource usage information and the user scale prediction information of the area, and determining base station planning information of the area according to the second resource usage information of each area within the area, so that the base station planning can be based on the second resource usage information of each area, and since the second resource usage information is obtained according to the first resource usage information of the past first time period and the predicted user scale prediction information, it can more accurately reflect the current demand situation of network resources and the future change of user scale, and further enable the base station planning information to fully consider the demands of each area within the area, and then the planning result can be accurately matched with the requirements of each area and the overall requirements of the region range.
Fig. 5 is a schematic structural diagram of an information processing apparatus for base station planning according to another embodiment of the present invention.
Referring to fig. 5, an information processing apparatus 400 for base station planning includes:
a first obtaining module 401, configured to obtain first resource usage information and user scale prediction information of each area within a preset geographic area; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used to characterize a change in the number of users and/or populations of the area over time over a future second time period.
A second resource usage information determining module 403, configured to determine, according to the first resource usage information and the user scale prediction information of the area, second resource usage information of the area, where the second resource usage information is used to characterize a total usage amount of the network resources in the area in the second time period and/or a change of the usage amount with time.
A base station planning module 404, configured to determine, according to the second resource usage information of each region in the region range, base station planning information of the region range, where the base station planning information is used to represent a distribution situation of a base station to be planned in the region range and configuration information of the base station to be planned.
Optionally, the apparatus further includes:
a second obtaining module 402, configured to obtain information of existing base stations in the geographic area, where the information of existing base stations is used to represent a distribution situation of existing base stations in the geographic area in the first time period and configuration information of existing base stations.
The base station planning module 404 is specifically configured to determine the base station planning information according to the second resource usage information of each area in the region range and the existing base station information.
Optionally, the configuration information of the existing base station is used to characterize at least one of: the construction type of the existing base station, the use type of the existing base station, the scale type of the existing base station and the network resource output capability information of the existing base station.
Optionally, the configuration information of the base station to be planned is used to characterize at least one of: the method comprises the steps of establishing a base station to be planned, using the base station to be planned, scale type of the base station to be planned and network resource output capacity information of the base station to be planned.
Optionally, the construction types of the base station include a floor station, a newly-built machine room, and a rental modification machine room; the use types of the base station comprise old sharing, new sharing and new exclusive sharing; the scale types of the base stations comprise macro base stations and small base stations.
Optionally, the first obtaining module 401 is specifically configured to:
and acquiring all terminal interaction information in the region range, wherein the terminal interaction information is information generated by the behavior of using the network service by the user.
And determining correspondence between the region to which the place of the action belongs and the terminal interaction information generated by the action.
And calculating the first resource use information of each region according to the terminal interaction information corresponding to the region.
Optionally, the terminal interaction information is used to characterize at least one of the following: the place of occurrence of the action, the time of occurrence of the action, the type of network service used by the action, the size of network resources used by the action, and the cost of consumption incurred by the action.
Optionally, the first obtaining module is specifically configured to:
predicting to obtain user scale prediction information of the region according to the current user scale information of the region, the user scale influence elements corresponding to the region, evaluation parameters aiming at the user scale influence elements and a preset or trained first prediction model; the current user scale information is used for representing the number of users and/or population of the current area; the user scale influence element is a preset element which influences the change of the regional user scale; the evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user.
Optionally, the user scale influencing element includes at least one of: the number of business circles contained in the area, the type of business circles, the number or proportion of resident population in the area, the competition situation of operators in the area, the number of residential areas of the area, and the type of residential areas.
The information processing apparatus for base station planning provided in this embodiment determines, by obtaining first resource usage information and user scale prediction information of each area within a preset area, determining second resource usage information of the area according to the first resource usage information and the user scale prediction information of the area, and determining base station planning information of the area according to the second resource usage information of each area within the area, so that the base station planning can be based on the second resource usage information of each area, and since the second resource usage information is obtained according to the first resource usage information of the past first time period and the predicted user scale prediction information, it can more accurately reflect the current demand situation of network resources and the future change of user scale, and further enable the base station planning information to fully consider the demands of each area within the area, and then the planning result can be accurately matched with the requirements of each area and the overall requirements of the region range.
FIG. 6 is a schematic diagram of an electronic device according to the present invention.
Referring to fig. 6, the present embodiment further provides an electronic device 50 including: a processor 51 and a memory 52; wherein:
a memory 52 for storing a computer program, which may also be a flash (flash memory).
And a processor 51 for executing the execution instructions stored in the memory to implement the steps of the above method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 52 may be separate or integrated with the processor 51.
When the memory 52 is a device independent from the processor 51, the electronic device 50 may further include:
a bus 53 for connecting the memory 52 and the processor 51.
The present embodiment also provides a readable storage medium, in which a computer program is stored, and when the computer program is executed by at least one processor of an electronic device, the computer program electronically executes the method provided by the above various embodiments.
The present embodiment also provides a program product comprising a computer program stored in a readable storage medium. The computer program can be read from a readable storage medium by at least one processor of the electronic device, and the execution of the computer program by the at least one processor causes the electronic device to implement the methods provided by the various embodiments described above.
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 to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled 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 invention.

Claims (6)

1. An information processing method for base station planning, comprising:
acquiring first resource use information and user scale prediction information of each region in a preset region range; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used for characterizing the change of the number of users and/or population of the area in a second time period in the future along with the time;
determining second resource usage information of the area according to the first resource usage information and the user scale prediction information of the area, wherein the second resource usage information is used for representing the total usage amount and/or the change of the usage amount of the network resources in the area with time in the second time period;
determining base station planning information of the region range according to second resource use information of each region in the region range, wherein the base station planning information is used for representing the distribution condition of the base station to be planned in the region range and the configuration information of the base station to be planned;
before determining the base station planning information of the region range according to the second resource usage information of each region in the region range, the method further includes:
acquiring existing base station information in the region range, wherein the existing base station information is used for representing the distribution condition of existing base stations in the region range in the first time period and the configuration information of the existing base stations;
the determining, according to the second resource usage information of each region in the region range, the base station planning information of the region range includes:
determining the base station planning information according to the second resource use information of each area in the region range and the existing base station information;
the acquiring of the first resource usage information and the user scale prediction information of each region in the preset region range includes:
acquiring all terminal interaction information in the region range, wherein the terminal interaction information is information generated by the behavior of using the network service by the user;
determining correspondence between the region to which the place of occurrence of the behavior belongs and terminal interaction information generated by the behavior;
calculating the first resource use information of each region according to the terminal interaction information corresponding to the region;
predicting to obtain user scale prediction information of the region according to the current user scale information of the region, the user scale influence elements corresponding to the region, evaluation parameters aiming at the user scale influence elements and a preset or trained first prediction model; the current user scale information is used for representing the number of users and/or population of the current area; the user scale influence element is a preset element which influences the change of the regional user scale; the evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user.
2. The method of claim 1, wherein the configuration information of the existing base station is used to characterize at least one of:
the construction type of the existing base station, the use type of the existing base station, the scale type of the existing base station and the network resource output capability information of the existing base station.
3. The method of claim 1, wherein the configuration information of the base station to be planned is used to characterize at least one of:
the method comprises the steps of establishing a base station to be planned, using the base station to be planned, scale type of the base station to be planned and network resource output capacity information of the base station to be planned.
4. The method of claim 2 or 3, wherein the construction types of the base station comprise a floor station, a new building machine room, a rental modification machine room; the use types of the base station comprise old sharing, new sharing and new exclusive sharing; the scale types of the base stations comprise macro base stations and small base stations.
5. The method according to claim 1, wherein the terminal interaction information is used to characterize at least one of:
the place of occurrence of the action, the time of occurrence of the action, the type of network service used by the action, the size of network resources used by the action, and the cost of consumption incurred by the action.
6. An information processing apparatus for base station planning, comprising:
the first acquisition module is used for acquiring first resource use information and user scale prediction information of each area in a preset region range; the first resource usage information is used for characterizing the total usage amount of the network resources in the area in the past first time period and/or the change of the usage amount with time; the user size prediction information is used for characterizing the change of the number of users and/or population of the area in a second time period in the future along with the time;
a second resource usage information determining module, configured to determine second resource usage information of the area according to the first resource usage information of the area and the user scale prediction information, where the second resource usage information is used to characterize a total usage amount of the network resources in the area in the second time period and/or a change of the usage amount with time;
the base station planning module is used for determining base station planning information of the region range according to second resource use information of each region in the region range, and the base station planning information is used for representing the distribution condition of base stations to be planned in the region range;
further comprising:
the second acquisition module is used for acquiring the information of the existing base stations in the region range, wherein the information of the existing base stations is used for representing the distribution situation of the existing base stations in the region range in the first time period and the configuration information of the existing base stations;
the base station planning module is specifically configured to determine the base station planning information according to the second resource usage information of each area in the region range and the existing base station information;
the first obtaining module is specifically configured to:
acquiring all terminal interaction information in the region range, wherein the terminal interaction information is information generated by the behavior of using the network service by the user;
determining correspondence between the region to which the place of occurrence of the behavior belongs and terminal interaction information generated by the behavior;
calculating the first resource use information of each region according to the terminal interaction information corresponding to the region;
predicting to obtain user scale prediction information of the region according to the current user scale information of the region, the user scale influence elements corresponding to the region, evaluation parameters aiming at the user scale influence elements and a preset or trained first prediction model; the current user scale information is used for representing the number of users and/or population of the current area; the user scale influence element is a preset element which influences the change of the regional user scale; the evaluation parameter is a preset parameter for evaluating the current development situation and/or the future development trend of the scale influence element of the user.
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