CN108601029B - Base station construction evaluation method and device - Google Patents
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Abstract
The application provides a base station construction evaluation method and device, relates to the field of communication, and can solve the problem that an accurate and objective base station construction evaluation result is difficult to obtain due to the fact that artificial experience is excessively relied on in the base station construction process. The method comprises the following steps: acquiring base station data of a preset number of network covered areas; calculating the proportion of the number of non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data; classifying the covered areas of the preset number of networks according to a preset rule; fitting to obtain a fitting curve corresponding to each type of area by taking the proportion corresponding to each type of area and the density of the base station as coordinate points; determining the area type corresponding to the area to be evaluated; and determining an evaluation result according to the preset data of the area to be evaluated and the target fitting curve.
Description
Technical Field
The present application relates to the field of communications, and in particular, to a method and an apparatus for evaluating base station construction.
Background
With the development of wireless communication technology, the demand of users for communication resources is also increasing. In order to meet the demand of users for communication resources, operators invest a great amount of manpower and material resources for base station construction every year.
For a target area without base stations built, operators generally calculate the inter-site distance theoretically according to a wireless propagation model and forward and reverse link budget, then survey the geographic environment, and judge the number of base stations needed to be built in the target area by manual experience. Due to the complex geographic environment, the theoretically calculated station spacing and the base station data are often required to be adjusted according to manual experience when the base station is built, so that the base station construction has high dependence on manual experience and high subjectivity.
For a target area in which a base station has been built, an operator generally combines data such as a coverage indicator of an existing network base station, a Key Performance Indicator (KPI), user complaint information, and drive test data, and manually analyzes whether the construction of the existing base station meets the user requirement, so as to determine whether a new base station needs to be added. Because the strategy and plan of network construction are also constantly adjusted by an operator, the preset network base station coverage index and service KPI may not match with the current strategy and plan, the information amount of complaint information and drive test data is small, the work of analyzing the complaint information and the drive test data is manually completed, and the dependence on manual experience is also large.
Therefore, it is difficult to obtain an accurate and objective evaluation result of the base station construction by the above methods for evaluating the number of base stations required to be constructed in the target area or the number of newly added base stations.
Disclosure of Invention
The application provides a base station construction evaluation method and device, which can solve the problem that an accurate and objective base station construction evaluation result is difficult to obtain due to the fact that the base station construction process depends on manual experience too much.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for evaluating base station construction, which may include: acquiring base station data of a preset number of network covered areas; calculating the proportion of the number of non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data; the non-redundant sampling points are used for representing sampling points of which the received Reference Signal Receiving Power (RSRP) of the adjacent cell is smaller than a first threshold value; classifying the covered areas of the preset number of networks according to a preset rule; fitting to obtain a fitting curve corresponding to each type of area by taking the proportion corresponding to each type of area and the density of the base station as coordinate points; determining the area type corresponding to the area to be evaluated; and determining an evaluation result according to preset data of the area to be evaluated and a target fitting curve, wherein the target fitting curve corresponds to the area type corresponding to the area to be evaluated.
In a second aspect, the present application provides a base station construction evaluation apparatus, which may include: the acquisition module is used for acquiring base station data of a preset number of network covered areas; the calculation module is used for calculating the proportion of the number of the non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data acquired by the acquisition module; the non-redundant sampling points are used for representing the sampling points of which the received RSRP of the neighboring cell is smaller than a first threshold value; the classification module is used for classifying the network covered areas of the preset number according to a preset rule; the curve fitting module is used for fitting to obtain a fitting curve corresponding to each type of region by taking the proportion and the base station density corresponding to each type of region calculated by the calculating module as coordinate points; the determining module is used for determining the area type corresponding to the area to be evaluated; the determining module is further configured to determine an evaluation result according to preset data of the area to be evaluated and a target fitting curve fitted by the curve fitting module, where the target fitting curve corresponds to the area type corresponding to the area to be evaluated.
In a third aspect, the present application provides a network device, including a memory, a communication interface, and a processor, where the memory and the communication interface are coupled to the processor, the memory is used for storing computer executable codes, and the processor is used for executing the computer executable codes to control the network device to perform the base station construction evaluation method according to the first aspect and various possible implementations thereof, and the communication interface is used for data transmission between the network device and an external device.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores instructions that, when executed on a network device, cause the network device to perform the method for evaluating base station construction according to the first aspect and various possible implementations thereof.
In a fifth aspect, the present application provides a computer program product containing instructions that, when run on a network device, cause the network device to perform the method for evaluating base station construction according to the first aspect and its various possible implementations.
Compared with the prior art that the base station construction quantity or the base station added quantity of a target area is determined theoretically, and then the quantity of base stations required to be constructed or added is judged manually, the base station construction evaluation method and the base station construction evaluation device classify areas according to the base station data of the covered areas of the preset quantity network, determine the proportion corresponding to each area in each type of area and the fitting curve related to the base station density, and determine the base station construction evaluation result of the area to be evaluated according to the fitting curve and the preset data of the area to be evaluated. The process of determining the base station construction evaluation result of the area to be evaluated does not need human participation, so that the determined evaluation result is more accurate and objective. Moreover, the fitting curve determined in the application can be applied to each stage of base station construction, the applicability is high, the application range is wide, and manpower and material resources required to be consumed in base station construction evaluation at each time are saved.
Drawings
Fig. 1 is a flowchart of a method for evaluating base station construction according to an embodiment of the present application;
FIG. 2 is a first schematic diagram of a fitted curve provided in an embodiment of the present application;
FIG. 3 is a second schematic diagram of a fitted curve provided by an embodiment of the present application;
fig. 4 is a first schematic structural diagram of a base station construction evaluation apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a base station construction evaluation apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a network device according to an embodiment of the present application.
Detailed Description
The method and the apparatus for evaluating the base station construction according to the embodiment of the present application are described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
The embodiment of the application provides a base station construction evaluation method, which is applied to network equipment such as a server and a computer with data analysis and processing capabilities. As shown in fig. 1, the method may include steps 101 to 106:
Since the operator generally plans the network independently, the network in the present application is a network deployed by the operator using the network device provided in the present application. When the base station construction evaluation is performed, an operator can freely select a preset number of network covered areas as sample areas, and the construction effect of the existing base station is evaluated by taking the base station data of the sample areas as reference. The preset number may be set by an operator according to an actual coverage condition of the network, for example, a whole or a part of the covered area of the network is selected, which is not limited herein.
The terminal reports Measurement Report (MR) data to the base station at regular intervals, and the Measurement Report data reported by the terminal each time is used as data of a sampling point. Optionally, the base station data includes a base station number, a total number of sampling points in a base station coverage, and a number of redundant sampling points in the base station coverage. The redundant sampling points are used for representing the sampling points of which the RSRP of the adjacent cell received by the terminal is greater than or equal to a first threshold, and the first threshold is used for representing that the terminal receives the minimum RSRP sent by the base station when the terminal can be ensured to normally communicate. Since the minimum RSRP that ensures that the terminal can normally communicate may be different in different geographical environments or buildings, the first threshold may be set by the operator himself.
Optionally, the first threshold may be-105 dBm.
Optionally, in addition to obtaining the base station data, the data obtained by the network device further includes area data such as an area scene, an area user number, and a land object area such as a land object type and a land object area. Since the operator generally collects the base station data, the area data and the ground object data respectively, in order to facilitate the association of the three types of data, an area identifier may be added to each type of data, so as to distinguish the three types of data collected from different areas by the area identifier. The area identifier may be a number, a letter, or other symbols. The regional scene comprises different regions such as urban areas, suburban areas, villages and towns and the like; a parcel is a sub-area of an area covered by a network, and a parcel type is used to describe the use of buildings in the area.
Optionally, in order to more intuitively display the data associated with the three types of data, the associated data may be stored in a table form, as shown in table one below:
watch 1
| Region numbering | Regional scene | Area of area | Number of users | Type of land mass | Area of ground mass |
| R101 | Urban area | 0.33 | 1000 | Office building | 0.12 |
| R101 | Urban area | 0.33 | 1000 | Market place | 0.21 |
In Table I above, the area of a land object is expressed in square kilometers (km)2)。
It should be noted that, the above table only shows an exemplary data storage manner, and the actual storage form of the associated data and the arrangement position of each item of data if stored in the table are not limited herein, for example, the land object types may be arranged after the area scene, the number of users may be arranged after the land object area, and the like.
It should be noted that a network coverage area includes at least one terrestrial block and at least one base station.
And 102, calculating the proportion of the number of the non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data.
And the non-redundant sampling points are used for representing the sampling points of which the received RSRP of the neighboring cell is smaller than a first threshold value.
It should be noted that the MR data reported by the terminal to the base station includes RSRP received by the terminal at the current location and sent by the base station.
Optionally, the ratio U of the number of non-redundant sampling points to the total number of sampling points in each region is calculated according to the formula U-1-k/j. Where k is used to indicate the number of redundant sample points in the region and j is used to indicate the total number of sample points in the region.
And calculating the density E of the base station according to the formula E, b/S. Where b is used to represent the total number of base stations in the region and S is used to represent the total area of the region.
And 103, classifying the covered areas of the networks with preset quantity according to a preset rule.
It should be noted that the classification principle in this step is to classify areas with similar surface feature environments and communication requirements into one category, so as to evaluate the base station construction effect with more pertinence.
Optionally, step 103 may specifically perform the following steps 1031 to 1035 by classifying a preset number of network covered areas according to a preset rule:
step 1031, dividing land object types for the preset number of network covered areas according to a preset standard, and determining the weight corresponding to the land object of each land object type.
In order to reflect the difference of the ground feature environments of the covered areas of different networks, different weights are given to the ground features of different ground feature types. Optionally, the weights corresponding to the ground objects with high communication demand intensity or complex wireless environment are respectively higher than the weights corresponding to the ground objects with low communication demand intensity or simple wireless environment; alternatively, the operator may determine the weights corresponding to different types of feature blocks according to the degree of importance of the operator to different feature environments and the actual situation of network construction, and the size of the weight corresponding to each type of feature block is not limited herein.
The preset criteria are used to classify buildings of the same or different use into one category. For example, the land feature types can be classified into the following seven categories according to the crowd gathering degree, building height, professional characteristics of the gathered crowd, and the like: low density areas, shed class areas, low rise building group areas, campus class areas, large building areas, deep coverage areas, and public gathering areas.
Specifically, the low density region includes: urban open land, greenbelt type parks, scenic spots, comprehensive type parks, and the like; the shepherd class includes: warehouse logistics areas, wholesale markets, stadiums, removal areas and the like; the low buildings comprise urban villages, old multi-storey buildings, middle-grade multi-storey houses, government organs, enterprise and public institutions and other low buildings; the campus class includes: kindergarten, primary school, middle school, technical school, colleges and libraries and the like; large buildings comprise hotels, office buildings, business and residential floors and the like; the depth coverage includes: medium-grade high-rise houses, high-grade multi-rise houses, high-grade high-rise houses and the like; the public gathering area includes: convention and exhibition center, traffic hub, market, industry hospital, city level hospital, provincial level hospital, specialty hospital, etc.
It should be noted that the above description only shows the areas included in the seven types of land object by way of example, and is not exhaustive.
Step 1032, according to the formula
The regional score V is calculated.
Where i is used to denote the ith zone and n is used to denote the total number of ground mass in the zone, αiFor representing the weight, S, corresponding to the ith land objectiAnd i is 1, 2, 3, 4, …, n.
For example, the first zone includes 3 land objects: x1, X2, X3. The land object type corresponding to the X1 is a green land type park,the area of the ground mass is 0.25km2(ii) a The type of the land object corresponding to X2 is hotel, and the area of the land object is 1.2km2(ii) a The type of the ground object corresponding to X3 is a city-level hospital, and the area of the ground object is 0.05km2. Let the weights corresponding to X1, X2, and X3 be α1＝0.1，α2＝0.4，α30.5. Then the zone score for this first zone is:
V＝[(0.1×0.25)+(0.4×1.2)+(0.5×0.05)]/(0.25+1.2+0.05)＝0.35
and 1033, performing first division on the covered areas of the preset number of networks according to the size relationship between the regional scores and the second threshold value to obtain at least two types of areas.
It should be noted that the second threshold value may be set by the operator.
If 0.4 is selected as the second threshold p in the embodiment of the present application, the area may be divided into two types of areas as shown in the following table two:
watch two
| Region type | A | B |
| Region score | V＜0.4 | V≥0.4 |
If the exemplary first region in step 1032 is classified according to the table, the region type of the first region is a.
Optionally, the second threshold further includes a fourth threshold and a fifth threshold. If 0.2 is selected as the fourth threshold and 0.6 is selected as the fifth threshold in the embodiment of the present application, the area may be divided into three types of areas as shown in the following table three:
watch III
| Region type | X | Y | Z |
| Region score | V＜0.2 | 0.2≤V＜0.6 | 0.6≤V≤1 |
If the first area in the example in step 1032 is classified according to table three, the area type of the first area is Y.
Step 1034, c/(S) according to formula D1+S2+…+Si+…Sn) And calculating the area user density D, wherein c is used for representing the total number of users in the area.
And 1035, performing second division on at least two types of areas obtained by the first division according to the size relation between the user density and the third threshold value.
If the third threshold is represented by β, the network covered area can be divided into at least two types according to the magnitude relation between the user density and the third threshold, as shown in the following table four:
watch four
| User density classification | Height of | Is low in |
| Classification criteria | D≥β | D＜β |
By integrating the first division and the second division, taking the data in the table two and the table four as an example, the covered area of the network can be divided into four types through the first division and the second division: a type A high user density area, a type A low user density area, a type B high user density area, and a type B low user density area.
Optionally, the covered area of the network may be divided finely or briefly according to the number of thresholds set by the adjustment.
And step 104, fitting to obtain a fitting curve corresponding to each type of region by taking the ratio of the number of the non-redundant sampling points corresponding to each type of region to the total number of the sampling points in each type of region and the density of the base station as coordinate points.
Referring to fig. 2, the proportion of the number of the non-redundant sampling points corresponding to each area to the total number of the sampling points in each area is taken as a horizontal axis, the density of the base station is taken as a vertical axis, and the proportion of the number of the non-redundant sampling points corresponding to each area to the total number of the sampling points in each area and the density of the base station are mapped into a coordinate system, so that a scatter diagram shown in fig. 2 is obtained. And then, determining a fitting curve by utilizing a linear regression algorithm or a non-linear regression algorithm, wherein the fitting curve presents a correlation relation between the proportion of the number of the non-redundant sampling points corresponding to the region to the total number of the sampling points in each region and the density of the base station.
And 105, determining the area type corresponding to the area to be evaluated.
The area type of the area to be evaluated may be calculated according to the methods in steps 1031 to 1035, which are not described herein again.
And step 106, determining an evaluation result according to the preset data of the area to be evaluated and the target fitting curve.
And the target fitting curve corresponds to the region type corresponding to the region to be evaluated.
Optionally, if the area to be evaluated does not cover any network, determining an expected proportion according to preset data of the area to be evaluated, where the preset data includes geographic data of the area to be evaluated and the total number of users: and determining the base station density corresponding to the expected proportion on the target fitting curve as the base station density required to be built in the area to be evaluated.
It should be noted that, the greater the number of redundant sampling points in the coverage area of the base station, the greater the overlapping area between the base station and another base station, and the base station handover is performed by the terminal in the overlapping area between two base stations, which means that, in order to ensure that the communication is not interrupted when the user performs the base station handover, the coverage area between the base station and the base station must be overlapped, so that the terminal can be ensured to maintain the communication during the handover. And the overlapping area between the base station and the base station cannot be too much, if the overlapping area is too much, the RSRP of the neighboring cell received by the terminal in the overlapping area is stronger, so that the neighboring cell base station can cause larger interference to the terminal and influence the communication quality of the terminal. Because the proportion of the number of the non-redundant sampling points corresponding to the area to the total number of the sampling points in each area can reflect the size of the overlapped area between the base station and the base station, based on the consideration, the proportion of the number of the non-redundant sampling points corresponding to the area to the total number of the sampling points in each area can be neither too large nor too small. Before the base station is constructed in the area to be evaluated, the proportion of the number of the non-redundant sampling points corresponding to the area to be evaluated to the total number of the sampling points in each area, that is, the expected proportion, is usually set according to the geographical environment of the area to be evaluated, such as the area, the land object type, and the like.
Optionally, the ratio of the number of corresponding non-redundant sampling points on the fitting curve to the total number of sampling points in each region and the base station density are the base station density when the base station is saturated in construction under the ratio. If the density of the base stations corresponding to one proportion exceeds the density of the base stations on the fitting curve, the supersaturation of the base stations is indicated; if the density of the base stations on the fitting curve is not exceeded, the base station construction has the additional allowance.
Optionally, after determining the expected proportion corresponding to the area to be evaluated, the base station density corresponding to the expected proportion on the fitting curve is used as the base station density actually required to be built in the area to be evaluated.
Optionally, if the area to be evaluated already covers the network, calculating the proportion of the number of the non-redundant sampling points in the total number of the sampling points in each area and the density of the base station according to the base station data of the area to be evaluated; then, searching the target base station density corresponding to the proportion corresponding to the area to be evaluated on the target fitting curve; if the density of the base stations corresponding to the area to be evaluated is smaller than the density of the target base stations, determining that the base stations can be added in the area to be evaluated to improve the network service capability of the area to be evaluated; if the density of the base stations corresponding to the area to be evaluated is greater than the density of the target base stations, careful consideration is needed when a scheme for increasing the base stations is formulated in the area to be evaluated.
Optionally, if the density of the base station corresponding to the area to be evaluated is greater than the density of the target base station, the base station needs to be optimized to improve the master control capability of the service range of the base station itself, that is, to improve the service effect of the base station.
Illustratively, referring to FIG. 3, the ratio of the R point designations is 0.3 and the base station construction density is about 8.6 stations/km2The ratio of the T point marks is 0.6, and the base station construction density is about 4.5 stations/km2. If the proportion of a certain area corresponding to the R point is required to be more than 0.3, the base station density of the area is recommended to slide from the R point to the T point on the curve, namely, the base station density of the area is reduced to 4.5 stations/km2。
It should be noted that, at any stage of the base station construction performed by the operator, the base station construction evaluation may be performed according to the method provided in the present application.
Compared with the prior art that the base station construction quantity or the base station added quantity of a target area is determined theoretically, and then the quantity of base stations which need to be constructed or added is judged manually, the base station construction evaluation method classifies the areas according to the base station data of the covered areas of the network with the preset quantity, determines the corresponding proportion of each area in each type of area and the fitting curve related to the base station density, and determines the base station construction evaluation result of the area to be evaluated according to the fitting curve and the preset data of the area to be evaluated. The process of determining the base station construction evaluation result of the area to be evaluated does not need human participation, so that the determined evaluation result is more accurate and objective. Moreover, the fitting curve determined in the application can be applied to each stage of base station construction, the applicability is high, and manpower and material resources required to be consumed in base station construction evaluation each time are saved.
In the embodiment of the present application, the network device may be divided into the functional modules or the functional units according to the above method examples, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
As shown in fig. 4, the embodiment of the present application provides a base station construction evaluation apparatus 400, where the apparatus 400 includes an obtaining module 401, a calculating module 402, a classifying module 403, a curve fitting module 404, and a determining module 405.
An obtaining module 401 is configured to obtain base station data of a preset number of network covered areas.
A calculating module 402, configured to calculate, according to the base station data acquired by the acquiring module 401, a ratio of the number of non-redundant sampling points in each area to the total number of sampling points in each area, and a base station density. And the non-redundant sampling points are used for representing the sampling points of which the received RSRP of the neighboring cell is smaller than a first threshold value.
The classification module 403 is configured to classify a preset number of network covered areas according to a preset rule.
A curve fitting module 404, configured to fit to obtain a fitting curve corresponding to each type of region by using the ratio and the base station density, which are calculated by the calculating module 402 and correspond to each type of region, as coordinate points.
A determining module 405, configured to determine a region type corresponding to a region to be evaluated.
The determining module 405 is further configured to determine an evaluation result according to preset data of the area to be evaluated and a target fitting curve fitted by the curve fitting module 404, where the target fitting curve corresponds to the area type corresponding to the area to be evaluated.
Optionally, the calculating module 402 is configured to: calculating a proportion U according to a formula U-1-k/j, wherein k is used for representing the number of redundant sampling points in the region, and j is used for representing the total number of sampling points in the region; and calculating the density E of the base stations according to the formula E, b/S, wherein b is used for expressing the total number of the base stations in the area, and S is used for expressing the total area of the area.
Optionally, the classification module 403 is configured to: dividing land object types for a preset number of network covered areas according to a preset standard, and determining the weight corresponding to the land object of each land object type; according to the formula
Calculating a region score V, wherein i is used for representing the ith region, n is used for representing the total number of ground object blocks in the region, and alphaiFor representing the weight, S, corresponding to the ith land objectiThe area of the ith ground object block is represented, i is 1, 2, 3, 4, … and n; according to the size relation between the regional scores and a second threshold value, performing first division on the covered regions of the preset number of networks to obtain at least two types of regions; according to the formula D ═ c/(S)1+S2+…+Si+…Sn) Calculating a regional user density D, where cFor indicating the total number of users in the area; and performing second division on at least two types of areas obtained by the first division according to the size relation between the user density and the third threshold value.
Optionally, if the area to be evaluated does not cover any network, the preset data includes geographic data of the area to be evaluated and the total number of users: a determination module 405 configured to: determining an expected proportion according to preset data of a region to be evaluated; and determining the base station density corresponding to the expected proportion on the target fitting curve as the base station density required to be built in the area to be evaluated.
In the optional method, if the area to be evaluated covers the network, the preset data comprises base station data; an evaluation result determining module 405 is determined according to the preset data of the area to be evaluated and the target fitting curve, and is configured to: calculating the proportion of the number of non-redundant sampling points in the total number of the sampling points in each area and the density of the base station according to the base station data of the area to be evaluated; searching the target base station density corresponding to the proportion corresponding to the area to be evaluated on the target fitting curve; if the density of the base stations corresponding to the area to be evaluated is smaller than the density of the target base stations, determining that the base stations need to be added in the area to be evaluated so that the density of the base stations in the area to be evaluated reaches the density of the target base stations; and if the density of the base stations corresponding to the area to be evaluated is greater than the density of the target base stations, determining that the base stations do not need to be added in the area to be evaluated.
Compared with the prior art that the base station construction number or the base station added number of a target area is determined theoretically, and then the number of base stations which need to be constructed or added is judged manually, the base station construction evaluation device classifies the areas according to the base station data of the covered areas of the network with the preset number, determines the corresponding proportion of each area in each type of area and the fitting curve related to the base station density, and determines the base station construction evaluation result of the area to be evaluated according to the fitting curve and the preset data of the area to be evaluated. The process of determining the base station construction evaluation result of the area to be evaluated does not need human participation, so that the determined evaluation result is more accurate and objective. Moreover, the fitting curve determined in the application can be applied to each stage of base station construction, the applicability is high, the application range is wide, and manpower and material resources required to be consumed in base station construction evaluation at each time are saved.
As shown in fig. 5, an embodiment of the present application provides another possible structural diagram of a network device. The network device 500 includes: processing unit 501, communication unit 502. The processing unit 501 is used to control and manage the actions of the network device 500, for example, to perform the steps performed by the calculation module 402 and the classification module 403 described above, and/or to perform other processes for the techniques described herein. The communication unit 502 is configured to support communication between the network device 500 and other network entities, for example, to perform the steps performed by the obtaining module 401. The network device 500 may further comprise a storage unit 503, the storage unit 503 being adapted to store program codes and data of the network device 500.
As shown in fig. 6, the processing unit 501 may be a processor 601 or a controller in the network device 600, and the processor 601 or the controller may implement or execute various exemplary logical blocks, modules and circuits described in connection with the disclosure of the present application. The processor 601 or controller may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 601 may be a combination that implements a computing function, and may include, for example, a combination of one or more microprocessors, a combination of Digital Signal Processing (DSP) and a microprocessor, or the like.
The communication unit 502 may be a transceiver, a transceiving circuit or a communication interface 602 in the network device 600, or the like.
The storage unit 503 may be a memory 603 or the like in the network device 600, which may include a volatile memory, such as a random access memory; the memory 603 may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory 603 may also comprise a combination of memories of the kind described above.
The bus 604 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 604 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the above-described apparatuses and units, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware or in software instructions executed by a processor. The software instructions may consist of corresponding software modules that may be stored in RAM, flash memory, ROM, Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read Only Memory (EEPROM), registers, a hard disk, a removable hard disk, a compact disc read only memory (CD-ROM), or any other form of storage medium known in the art. 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 Circuit (ASIC). Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (4)
1. A method for evaluating base station construction, the method comprising:
acquiring base station data of a preset number of network covered areas;
calculating the proportion of the number of non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data; the non-redundant sampling points are used for representing sampling points of which the received Reference Signal Received Power (RSRP) of the adjacent cell is smaller than a first threshold value;
classifying the covered areas of the preset number of networks according to a preset rule;
fitting to obtain a fitting curve corresponding to each type of area by taking the proportion corresponding to each type of area and the density of the base station as coordinate points;
determining the area type corresponding to the area to be evaluated;
determining an evaluation result according to preset data of the area to be evaluated and a target fitting curve, wherein the target fitting curve corresponds to the area type corresponding to the area to be evaluated;
classifying the preset number of network covered areas according to a preset rule, including:
dividing land object types for the preset number of network covered areas according to a preset standard, and determining the weight corresponding to the land object of each land object type;
according to the formula
Calculating a region score V, wherein i is used for representing the ith region, n is used for representing the total number of ground object blocks in the region, and alphaiFor representing the weight, S, corresponding to the ith land objectiThe area of the ith ground object block is represented, i is 1, 2, 3, 4, … and n;
according to the size relation between the regional scores and a second threshold value, performing first division on the preset number of network covered regions to obtain at least two types of regions;
according to the formula D ═ c/(S)1+S2+…+Si+…Sn) Calculating the area user density D, wherein c is used for representing the total number of users in the area;
according to the magnitude relation between the user density and a third threshold value, performing second division on at least two types of areas obtained by the first division;
if the area to be evaluated does not cover any network, the preset data comprises geographic data and the total number of users of the area to be evaluated;
the determining an evaluation result according to the preset data of the area to be evaluated and the target fitting curve comprises the following steps:
determining an expected proportion according to preset data of the area to be evaluated;
determining the density of the base stations corresponding to the expected proportion on the target fitting curve as the density of the base stations required to be built in the area to be evaluated;
if the area to be evaluated covers the network, the preset data comprises base station data;
the determining an evaluation result according to the preset data of the area to be evaluated and the target fitting curve comprises the following steps:
calculating the proportion of the number of non-redundant sampling points in the total number of the sampling points in each area and the density of the base station according to the base station data of the area to be evaluated;
searching the target base station density corresponding to the proportion corresponding to the area to be evaluated on the target fitting curve;
if the density of the base stations corresponding to the area to be evaluated is smaller than the density of the target base stations, determining that base stations need to be added in the area to be evaluated so that the density of the base stations in the area to be evaluated reaches the density of the target base stations;
and if the density of the base stations corresponding to the area to be evaluated is greater than the density of the target base stations, determining that no base stations need to be added in the area to be evaluated.
2. The method of claim 1, wherein the calculating the ratio of the number of non-redundant sampling points in each area to the total number of sampling points in each area and the base station density according to the base station data comprises:
calculating a proportion U according to a formula U-1-k/j, wherein k is used for representing the number of redundant sampling points in the region, and j is used for representing the total number of sampling points in the region;
and calculating the density E of the base stations according to the formula E, b/S, wherein b is used for expressing the total number of the base stations in the area, and S is used for expressing the total area of the area.
3. A base station construction evaluation apparatus, the apparatus comprising:
the acquisition module is used for acquiring base station data of a preset number of network covered areas;
the calculation module is used for calculating the proportion of the number of the non-redundant sampling points in each area to the total number of the sampling points in each area and the density of the base station according to the base station data acquired by the acquisition module; the non-redundant sampling points are used for representing the sampling points of which the received RSRP of the neighboring cell is smaller than a first threshold value;
the classification module is used for classifying the network covered areas of the preset number according to a preset rule;
the curve fitting module is used for fitting to obtain a fitting curve corresponding to each type of region by taking the proportion and the base station density corresponding to each type of region calculated by the calculating module as coordinate points;
the determining module is used for determining the area type corresponding to the area to be evaluated;
the determining module is further configured to determine an evaluation result according to preset data of the area to be evaluated and a target fitting curve fitted by the curve fitting module, wherein the target fitting curve corresponds to the area type corresponding to the area to be evaluated;
the classification module is configured to:
dividing land object types for the preset number of network covered areas according to a preset standard, and determining the weight corresponding to the land object of each land object type;
according to the formula
Calculating a region score V, wherein i is used for representing the ith region, n is used for representing the total number of ground object blocks in the region, and alphaiFor representing the weight, S, corresponding to the ith land objectiThe area of the ith ground object block is represented, i is 1, 2, 3, 4, … and n;
according to the size relation between the regional scores and a second threshold value, performing first division on the preset number of network covered regions to obtain at least two types of regions;
according to the formula D ═ c/(S)1+S2+…+Si+…Sn) Calculating the area user density D, wherein c is used for representing the total number of users in the area;
according to the magnitude relation between the user density and a third threshold value, performing second division on at least two types of areas obtained by the first division;
if the area to be evaluated does not cover any network, the preset data comprises geographic data and the total number of users of the area to be evaluated;
the determining module is configured to:
determining an expected proportion according to preset data of the area to be evaluated;
determining the density of the base stations corresponding to the expected proportion on the target fitting curve as the density of the base stations required to be built in the area to be evaluated;
if the area to be evaluated covers the network, the preset data comprises base station data;
the determining module is configured to:
calculating the proportion of the number of non-redundant sampling points in the total number of the sampling points in each area and the density of the base station according to the base station data of the area to be evaluated;
searching the target base station density corresponding to the proportion corresponding to the area to be evaluated on the target fitting curve;
if the density of the base stations corresponding to the area to be evaluated is smaller than the density of the target base stations, determining that base stations need to be added in the area to be evaluated so that the density of the base stations in the area to be evaluated reaches the density of the target base stations;
and if the density of the base stations corresponding to the area to be evaluated is greater than the density of the target base stations, determining that no base stations need to be added in the area to be evaluated.
4. The apparatus of claim 3, wherein the computing module is configured to:
calculating a proportion U according to a formula U-1-k/j, wherein k is used for representing the number of redundant sampling points in the region, and j is used for representing the total number of sampling points in the region;
and calculating the density E of the base stations according to the formula E, b/S, wherein b is used for expressing the total number of the base stations in the area, and S is used for expressing the total area of the area.
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| CN111465024A (en) * | 2019-01-22 | 2020-07-28 | 上海虹驰通信工程有限公司 | Communication base station construction quantity and evaluation method |
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