CN112312458B - Base station scoring method and device - Google Patents
Base station scoring method and device Download PDFInfo
- Publication number
- CN112312458B CN112312458B CN202011217980.2A CN202011217980A CN112312458B CN 112312458 B CN112312458 B CN 112312458B CN 202011217980 A CN202011217980 A CN 202011217980A CN 112312458 B CN112312458 B CN 112312458B
- Authority
- CN
- China
- Prior art keywords
- base station
- score
- data
- scoring
- calculating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000013077 scoring method Methods 0.000 title claims abstract description 33
- 238000005259 measurement Methods 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000004891 communication Methods 0.000 claims abstract description 14
- 230000015654 memory Effects 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000010606 normalization Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 6
- 238000004422 calculation algorithm Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 239000010902 straw Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000002759 z-score normalization Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a base station scoring method and a base station scoring device, relates to the field of communication, and aims to reduce the influence of maximum and minimum values of data on overall scoring, enable scores to be more balanced when multiple indexes are weighted and scored, and simultaneously introduce a scoring dimension of number portability users to obtain more balanced and comprehensive scoring of a planned base station. The method comprises the following steps: acquiring measurement data of a target area; the target area comprises a coverage area of a planning base station; the measurement data comprises data such as flow, RSRP, user quantity, number-carrying network transfer users, complaint hotspots and the like of a target area; calculating RSRP scores, traffic scores and user quantity scores of the planning base station according to a first preset rule based on the RSRP, the traffic and the user quantity data; calculating the number portability user score of the planning base station according to a second preset rule based on the number portability user data; calculating a complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data; and calculating the total score of the planning base station according to the scores.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for scoring a base station.
Background
With the release of the number portability policy in 2019, the network coverage demand of the number portability users is increased sharply, and the market competition of operators is more intense. Therefore, a reasonable 4G base station construction strategy is needed, the 4G base station construction priority is divided, and the user requirements, especially the coverage requirements of the transfer users and the hot spot complaint users on the 4G network, are met by a scientific and reasonable method. The current operator scores the priority of a planning base station, mainly constructs a priority evaluation system constructed by the base station from multiple dimensions such as income, users, traffic, complaints and the like, scores the base station by adopting algorithms such as normalization, Z-Score standardization or directly setting data grading and the like for each dimension, and finally calculates the final Score of the base station according to different weights.
However, the base station scoring algorithm based on normalization or Z-Score normalization may cause the scores of the indicators to be unbalanced if the data difference between the set of indicators is large, the head data Score is too high, and the remaining data scores are low and have small difference. When the final multiple indexes are combined to weight the calculation score, the score value of the index is reduced due to the fact that most data of the index are low in score, and the final weighted score may be distorted. In addition, negative numbers exist after the Z-Score standardized scoring, and the scoring is not intuitive enough. The direct setting of the data grading and scoring algorithm has artificial subjectivity, and the scoring standard is not objective and uniform. In addition, the base station scoring method commonly used in the current industry does not include the number portability factor, does not consider the number and distribution of the number portability users, and is difficult to reflect the most concerned number portability user requirements of the current operator.
Disclosure of Invention
The application provides a base station scoring method and device, which can reduce the influence of maximum and minimum values of data on overall scoring, make scores more balanced when multiple indexes are weighted and scored, and introduce a scoring dimensionality of a number portability user to obtain more balanced and comprehensive scoring of a planning base station.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect, the present application provides a base station scoring method, which may include:
acquiring measurement data of a target area; wherein the target area comprises a coverage area of a planned base station; the measurement data comprises flow data, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hotspot data of a target area; respectively calculating an RSRP score, a traffic score and a user quantity score of the planning base station according to a first preset rule based on the RSRP data, the traffic data and the user quantity data; calculating the number portability user score of the planning base station according to a second preset rule based on the number portability user data; calculating a complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data; and calculating the total score of the planning base station according to the RSRP score, the traffic score, the user number score, the number portability user score and the complaint handling score.
In a second aspect, the present application provides a base station scoring apparatus, including: the device comprises a data acquisition module, a first calculation module, a second calculation module, a third calculation module and a fourth calculation module. The data acquisition module is used for acquiring measurement data of a target area; wherein the target area comprises a coverage area of a planned base station; the measurement data comprises flow data, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hotspot data of a target area; a first calculating module, configured to calculate, according to a first preset rule, an RSRP score, a traffic score, and a user quantity score of the planned base station based on the RSRP data, the traffic data, and the user quantity data, respectively; the second calculation module is used for calculating the number portability user score of the planning base station according to a second preset rule based on the number portability user data; a third calculating module, configured to calculate, according to a third preset rule, a complaint handling score of the planning base station based on the complaint hot spot data; and the fourth calculating module is used for calculating the total score of the planning base station according to the RSRP score, the flow score, the user number score, the number portability user score and the complaint handling score.
In a third aspect, the present application provides a base station scoring apparatus, including: a processor, a communication interface, and a memory. The memory is used for storing computer-executable instructions, and when the base station scoring apparatus runs, the processor executes the computer-executable instructions stored in the memory, so as to enable the base station to execute the base station scoring method described in any one of the first aspect and various optional implementation manners thereof.
In a fourth aspect, the present application provides a computer-readable storage medium, where one or more programs are stored in the computer-readable storage medium, and the one or more programs include computer-executable instructions, and when a processor of the base station scoring apparatus executes the computer-executable instructions, the base station scoring apparatus executes the base station scoring method according to any one of the first aspect and various optional implementations thereof.
In a fifth aspect, the present application provides a communication system comprising a user equipment, a server and the base station scoring apparatus of any one of the third aspect and its various alternative implementations.
According to the base station scoring method and device, after the base station scoring device obtains the flow data, the Reference Signal Received Power (RSRP) data, the user quantity data, the number portability user data and the complaint hotspot data of a target area, the RSRP scoring, the flow scoring, the user quantity scoring, the number portability user scoring and the complaint processing scoring of the planning base station are respectively calculated based on the measurement data, and therefore the total scoring of the planning base station is calculated. Compared with the prior art, the base station score does not contain the factors of number portability, and the number and distribution of the number portability users are not considered. The base station scoring method provided by the invention can reduce the influence of the maximum value and the minimum value of the data on the overall scoring, so that the scoring of multiple indexes is more balanced when the weighted scoring is carried out, and meanwhile, the scoring dimensionality of the number portability users is introduced, so that more balanced and comprehensive planning base station scoring is obtained.
Drawings
Fig. 1 is a schematic view of a communication network structure to which a base station scoring method and apparatus according to an embodiment of the present invention are applied;
fig. 2 is a schematic diagram illustrating a scoring method for a base station according to an embodiment of the present invention;
fig. 3 is a first schematic structural diagram of a scoring device for a base station according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a base station scoring device according to an embodiment of the present invention.
Detailed Description
First, terms related to embodiments of the present application will be described.
Number portability: the user of one home telecommunication operator can become the user of another telecommunication operator without changing the own mobile phone number and enjoy various services provided by the user.
Minimization of drive tests: the method for obtaining relevant parameters required by network optimization by using the measurement report uploaded by the user equipment. The base station issues related measurement configuration to the terminal according to the MDT measurement task configured by the network management, the terminal performs measurement and reports measurement information when meeting measurement conditions, and the base station reports the received terminal measurement result and the self measurement result of the base station to the network management or an MDT data storage processing network element according to requirements.
The following describes in detail a method, an apparatus, and a system for scoring a base station according to an embodiment of the present invention with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description of the present invention and the drawings 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 "comprising" and "having" and any variations thereof as referred to in the description of the invention 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 invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention 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 invention, the meaning of "a plurality" means two or more unless otherwise specified.
The base station scoring method provided in the embodiment of the present invention may be applied to the communication network shown in fig. 1, where the communication network may be a fifth generation (5 th generation,5 g) mobile communication network, may also be a fourth generation (4 th generation,4 g) (e.g., an Evolved Packet System (EPS) mobile communication network, and may also be other actual mobile communication networks, and the present invention is not limited thereto.
As shown in fig. 1, the communication network may comprise: user equipment 101, base station 102, data network 103 and base station scoring apparatus 104. The user equipment 101 in fig. 1 may be configured to connect to an access network device deployed by an operator through a wireless air interface, and then access to a data network; the base station 102 is mainly used for implementing functions of a wireless physical layer, resource scheduling and wireless resource management, wireless access control and mobility management; the data network 103 may comprise network devices (e.g., servers, routers, etc.), and the data network 103 is mainly used for providing data services for the terminal devices. It should be noted that fig. 1 is only an exemplary architecture diagram, and the network architecture may include other functional units besides the functional units shown in fig. 1, which is not limited in this embodiment of the present invention.
The UE may be a User Equipment (UE), such as: cell phones, computers, and may also be cellular phones, cordless phones, session Initiation Protocol (SIP) phones, smart phones, wireless Local Loop (WLL) stations, personal Digital Assistants (PDAs), laptop computers, handheld communication devices, handheld computing devices, satellite radios, wireless modem cards, set Top Boxes (STBs), customer Premise Equipment (CPE), and/or other devices used to communicate over a wireless system.
According to the base station scoring method provided by the embodiment of the invention, by introducing the concept of the confidence interval, the influence of the maximum value and the minimum value on the overall scoring is reduced, the score difference between different data is reduced, and finally, the scores are balanced when multiple indexes are weighted and scored. Meanwhile, the scoring dimensionality of the number portability users is increased, the defect that the number portability users and the distribution area are not considered in the prior art is overcome, and the covering requirement of the number portability users which are most concerned by the current operator can be reflected.
An embodiment of the present invention provides a base station scoring method, as shown in fig. 2, an execution subject of the method may be a base station scoring device, and the method may include S101 to S105:
s101, obtaining measurement data of the target area.
The target area comprises a coverage area of a planning base station, and the measurement data comprises flow data, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hotspot data of the target area.
The traffic data is the daily average traffic of the target area, and the user quantity data is the existing user quantity of the target area, and are used for measuring the economic value of the planning base station. The RSRP data is used for representing the signal quality of the wireless network and measuring the network value of the planning base station. The number portability user data is existing in the target area, and the number portability is provided to be transferred to the number and distribution area of the users of the operator where the planning base station is located, so that the value of the planning base station in the aspect of network coverage of the number portability users is measured. The complaint hot spot data are the number of complaint hot spot areas existing in the target area and the geographic positions of the complaint hot spot areas, and are used for measuring and planning the value of the base station in the aspect of treatment coverage of the complaint hot spots.
In a possible implementation manner, the base station scoring apparatus may obtain the measurement data by using Minimization of Drive Test (MDT) data of a wireless network. Illustratively, the webmaster side determines an MDT measurement parameter according to the measurement content that needs to be executed by the UE, and issues the MDT configuration parameter to the base station, and the base station sends the MDT configuration parameter to the UE in the target area, and the UE reports the measurement result data to the base station scoring device after executing the measurement.
Illustratively, the target area is a city of places. The base station scoring device may also define other administrative areas as target areas, and the application is not limited.
And S102, respectively calculating an RSRP score, a traffic score and a user quantity score of the planning base station according to a first preset rule based on the RSRP data, the traffic data and the user quantity data.
In a possible implementation manner, the first preset rule is a normalized scoring method based on a confidence interval, and the base station scoring device calculates an RSRP score, a traffic score, or a user quantity score of the planned base station by:
the method comprises the following steps: and dividing the target area into a plurality of grids with preset sizes.
Illustratively, the base station scoring apparatus divides the target area into a plurality of grids of 50 meters by 50 meters, and calculates RSRP data, traffic data, and user number data for each grid based on the MDT measurement results. The base station scoring device may also divide the target area into grids of other sizes, which is not limited in this application.
In one example, a city can be divided into 94398 grids of 50 meters by 50 meters.
Step two: calculating a standard deviation sigma and a mean mu of the plurality of grid measurement data.
Wherein the measurement data is one of the traffic data, the RSRP data and the user quantity data.
In one example, based on the 94398 grid flow data, the standard deviation of all the grid flow data was calculated to be 21803.8, the mean value 19564.6, the minimum value 0, and the maximum value 355121.2.
Step three: and calculating the upper limit and the lower limit of the grading interval of the measurement data according to a preset confidence level.
In one possible implementation, if the preset confidence level is 95%, the lower scoring interval limit Y is set as the lower scoring interval limit min The following calculation formula is satisfied:
Y min ＝max(X min ,μ-1.96σ)
wherein X min Represents a minimum value of the measurement data;
upper limit of the grading interval Y max The following calculation formula is satisfied:
Y max ＝min(X max ,μ-1.96σ)
wherein X max Represents the maximum value of the measurement data.
Based on the example of the second step, the lower limit of the traffic score interval is max {0, 19564.6-1.96 × 21803.8} =0, and the upper limit of the traffic score interval is min {19564.6+1.96 × 21803.8, 355121.2} =62299.9.
The base station scoring device can also select other confidence levels, for example 97%, the application is not limited, and correspondingly, the calculation formulas of the upper limit and the lower limit of the scoring interval are also adjusted correspondingly.
Step four: and calculating the score of each grid by adopting a normalized scoring method based on the scoring interval.
Wherein the following formula is satisfied between the score Z of the grid and the measurement data X:
in one example, the base station scoring apparatus obtains grid traffic data with serial numbers 69525 to 69536, and calculates the traffic score according to the above formula as shown in table 1 below:
TABLE 1
| Grid number | Average daily flow (MB) | Scoring |
| 69525 | 11032.5 | 17.70872 |
| 69526 | 44801.1 | 71.91202 |
| 69527 | 1460.6 | 2.344404 |
| 69528 | 39603.3 | 63.56874 |
| 69529 | 4503.7 | 7.229122 |
| 69530 | 2508.5 | 4.026543 |
| 69531 | 1775.1 | 2.849322 |
| 69532 | 26494.1 | 42.52671 |
| 69533 | 31452.6 | 50.48578 |
| 69534 | 1566.3 | 2.514141 |
| 69535 | 1047.0 | 1.360628 |
| 69536 | 72830.5 | 100 |
Illustratively, based on the example of step three above, the grid flow data with serial number 69525 is 11032.5, the flow rate of the grid is greater than the minimum value 0 of the scoring interval and less than the maximum value 62299.9 of the scoring interval, and then the flow rate of the grid is (11032.5-0)/(62299.9-0) = 100= 17.70872. The flow data of the grid with serial number 69536 is 72830.5, and the grid score is 100 when the flow of the grid is larger than the maximum value 62299.9 of the scoring interval.
By introducing the concept of the confidence interval, when the data is scored and normalized, the upper limit and the lower limit of the scoring data are limited in the 95% confidence interval, for the data which is greater than the upper limit of the scoring interval, the score is full, and for the data which is less than the lower limit of the scoring interval, the score is 0. According to the base station scoring method, the influence of the maximum value and the minimum value on the overall scoring is reduced, the score difference between different data is reduced, and finally the scores are balanced when multiple indexes are weighted and scored.
Step five: and calculating an average value as the score of the planning base station according to the score of the grid contained in the coverage area of the planning base station.
Illustratively, the target coverage area of the planned base station includes a grid of serial numbers 69530 to 69536, the planned base station has a traffic score of 29.1090.
And respectively calculating the RSRP score and the user quantity score of the planning base station according to a first preset rule based on the RSRP data and the user quantity data of the planning base station, wherein the process is the same as the steps. Illustratively, after a target area is divided into a plurality of grids with preset sizes by a base station scoring device, according to RSRP data and user quantity data of a planning base station, firstly, standard deviations, average values, minimum values and maximum values of all the RSRP data and the user quantity data of the grids are respectively calculated; then calculating to obtain an RSRP scoring interval and a user quantity scoring interval of the planning base station; calculating the RSRP score and the user number score of each grid by adopting a normalized scoring method; and finally, respectively calculating the mean values of the RSRP scores and the user number scores of grids contained in the target coverage area of the planning base station, and taking the mean values as the RSRP scores and the user number scores of the planning base station.
And S103, calculating the number portability user score of the planning base station according to a second preset rule based on the number portability user data.
In a possible implementation manner, the second preset rule is a rating method for setting data grading, and the base station rating device calculates the rating of the number portability user of the planning base station by the following steps:
the method comprises the following steps: and calculating the average number portability user number M of the single cell in the target area.
In one example, the base station scoring device calculates the average number of single-cell number portability users in a certain city to be 3.79 based on the MDT measurement result.
Step two: and calculating the number N of the average single-cell number portability users of the cells in the preset range around the planning base station.
Exemplarily, if the planned base station is located in an urban area, searching a cell according to a preset range with a radius of 400 meters; if the planning base station is located in the village and the town, searching a cell according to a preset range with the radius of 600 meters; and if the planning base station is positioned in the administrative village, searching the cell according to a preset range with the radius of 1000 meters.
In one example, a planned base station is located in an urban area, current network cells within a radius of 400 meters around the planned base station are searched, and the average number of number portability users of the cells is calculated to be 4.56.
Step three: calculating the number portability user score Z of the base station Carrying and rotating device Z is said Carrying and rotating device And the M and the N satisfy the following formula:
based on the example of the first step and the second step, since 3.79 straw 4.56 straw 2 straw 3.79, the number portability user score of the planning base station is 80.
According to the base station scoring method, the scoring latitude of the number portability users is increased, the defect that the number portability users and the distribution area are not considered in the current base station scoring method is overcome, and the requirement of the number portability users which are most concerned by current operators can be reflected better.
And S104, calculating a complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data.
In a possible implementation manner, the third preset rule is a scoring method for setting data grading, and specifically includes:
if the planning base station can cover at least one complaint hot spot area, and the at least one complaint hot spot area contains 15 or more complaints, the complaint processing score of the planning base station is 100.
If the planning base station can cover at least one complaint hot spot area, and the at least one complaint hot spot area contains 10 or more complaints, the complaint handling score of the planning base station is 80.
If the planning base station can cover at least one complaint hot spot area, and the at least one complaint hot spot area contains less than 10 complaints in total, the complaint handling score of the planning base station is 60.
And if the planning base station cannot cover any complaint hot spot area, the complaint treatment score of the planning base station is 0.
In one example, if a target coverage area of a planning base station can cover one complaint hot spot area, and the complaint hot spot area includes 17 complaints, the complaint handling score of the planning base station is 100.
And S105, calculating the total score of the planning base station according to the RSRP score, the traffic score, the user number score, the number portability user score and the complaint handling score.
For example, setting the RSRP score weight to J, the traffic score weight to K, the user quantity score weight to L, the number of portability users to the network to take a number to P, and the complaint handling score weight to Q, the total score of the planning base station = RSRP score J + traffic score K + user quantity score L + number of portability users to take a number to the network + complaint handling score Q.
According to the base station scoring method provided by the embodiment of the invention, by introducing the concept of the confidence interval, the influence of the maximum value and the minimum value on the overall scoring is reduced, the score difference between different data is reduced, and finally, the scores are balanced when multiple indexes are weighted and scored. Meanwhile, the scoring dimensionality of the number portability users is increased, the defect that the number portability users and the distribution area are not considered in the prior art is overcome, and the covering requirement of the number portability users which are most concerned by the current operator can be reflected.
The above description mainly introduces the scheme provided by the embodiment of the present invention from the perspective of a base station scoring device. It is understood that the base station scoring apparatus includes hardware structures and/or software modules for performing the respective functions in order to implement the above functions. Those skilled in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software for implementing the exemplary base station scoring apparatus and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiment of the present invention, the base station scoring apparatus 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 the form of hardware, or may also be implemented in the form of a software functional module or functional unit. The division of the modules or units in the embodiments of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 3 shows a schematic diagram of a possible structure of the scoring device for a base station according to the above embodiment, in a case where each functional module is divided according to each function. The base station scoring device comprises a data acquisition module 201, a first calculation module 202, a second calculation module 203, a third calculation module 204 and a fourth calculation module 205.
The data acquiring module 201 is configured to acquire measurement data of a target area. The target area comprises a coverage area of a planning base station, and the measurement data comprises flow data, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hot spot data of the target area.
The first calculating module is configured to calculate, according to a first preset rule, an RSRP score, a traffic score, and a user quantity score of the planned base station, respectively, based on the RSRP data, the traffic data, and the user quantity data.
And the second calculation module is used for calculating the number portability user score of the planning base station according to a second preset rule based on the number portability user data.
And the third calculating module is used for calculating the complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data.
And the fourth calculating module is used for calculating the total score of the planning base station according to the RSRP score, the traffic score, the user number score, the number portability user score and the complaint handling score.
The base station scoring device provided by the embodiment of the invention is used for respectively calculating the RSRP score, the flow score, the user quantity score, the number portability user score and the complaint processing score of the planning base station based on the measurement data after acquiring the flow data, the Reference Signal Received Power (RSRP) data, the user quantity data, the number portability user data and the complaint hotspot data of a target area, so that the total score of the planning base station is calculated. Compared with the prior art, the base station scoring does not include the factors of number portability, and the number and distribution of the number portability users are not considered. According to the base station scoring device provided by the invention, by introducing the concept of the confidence interval, the influence of the maximum value and the minimum value on the overall scoring is reduced, the score difference between different data is reduced, and finally, the scores are balanced when multiple indexes are weighted and scored. Meanwhile, the scoring dimensionality of the number portability users is increased, the defect that the number portability users and the distribution area are not considered in the prior art is overcome, and the coverage requirement of the number portability users which are most concerned by the current operator can be reflected.
Fig. 4 shows a schematic diagram of still another possible structure of the base station scoring apparatus in the above embodiment. The base station scoring device comprises: a processor 302, and a communication interface 303. The processor 302 is configured to control and manage the actions of the base station scoring apparatus, for example, perform the steps performed by the storage module 203, the processing module 204, and/or other processes for performing the techniques described herein. The communication interface 303 is used for supporting communication between the bs scoring apparatus and other network entities, for example, performing the steps performed by the data acquiring module 201. The base station scoring apparatus may further comprise a memory 301 and a bus 304, the memory 301 being used to store program codes and data for the base station scoring apparatus.
The memory 301 may be a memory in the base station evaluation device, and the like, and the memory may include a volatile memory, such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
The processor 302 may be implemented or performed with various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor 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 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The bus 304 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 304 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. 4, but this does not indicate only one bus or one type of bus.
The embodiment of the application provides a communication system, which can comprise a base station, user equipment, a data network and a base station scoring device, wherein the user equipment uploads an MDT (minimization drive test) measurement result required by scoring of the base station to the base station and then reports the MDT measurement result to the base station scoring device through the data network so as to implement the base station scoring method. For the description of the base station, the user equipment, the server, and the base station scoring device, reference may be specifically made to the related description in the foregoing method embodiment and device embodiment, and details are not repeated here.
Through the description of the foregoing embodiments, it will be clear to those skilled in the art that, for convenience and simplicity of description, only the division of the functional modules is illustrated, and in practical applications, the above function distribution may be completed by different functional modules as needed, that is, the internal structure of the apparatus may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present application provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the base station scoring method described in the above method embodiment.
An embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the base station scoring device executes the instructions, the base station scoring device executes each step executed by the base station scoring device in the method flow shown in the foregoing method embodiment.
The 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), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, any suitable combination of the above, or any other form of computer readable 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). 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 description 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 (9)
1. A base station scoring method, the method comprising:
acquiring measurement data of a target area; wherein the target area comprises a coverage area of a planned base station; the measurement data comprises flow data, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hotspot data of a target area;
respectively calculating an RSRP score, a traffic score and a user quantity score of the planning base station according to a first preset rule based on the RSRP data, the traffic data and the user quantity data; the first preset rule is a normalization scoring method based on a confidence interval;
calculating the average number portability user number M of the single cell in the target area;
calculating the number N of average single-cell number portability users of cells in a preset range around the planning base station;
calculating the number portability user score Z of the base station Carrying and rotating device Z is the same as Carrying and rotating device And the following formulas are satisfied between the M and the N:
calculating a complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data;
and calculating the total score of the planning base station according to the RSRP score, the traffic score, the user number score, the number portability user score and the complaint handling score.
2. The method according to claim 1, wherein the calculating RSRP scores, traffic scores, and user quantity scores of the planned base stations according to a first preset rule based on the RSRP data, the traffic data, and the user quantity data, respectively, specifically comprises:
dividing the target area into a plurality of grids with preset sizes;
calculating a standard deviation sigma and a mean mu of the plurality of grid measurement data; wherein the measurement data is one of the traffic data, the RSRP data and the user quantity data;
calculating the upper limit and the lower limit of the grading interval of the measured data according to a preset confidence level;
calculating the score of each grid by adopting a normalized scoring method based on the scoring interval;
and calculating an average value as the score of the planning base station according to the score of the grid contained in the coverage area of the planning base station.
3. The method of claim 2, wherein the lower score interval limit Y is determined if the predetermined confidence level is 95% min The following calculation formula is satisfied:
Y min ＝max(X min ,μ-1.96σ)
wherein X min Represents a minimum value of the measurement data;
upper limit of the grading interval Y max The following calculation formula is satisfied:
Y max ＝min(X max ,μ-1.96σ)
wherein, X max Represents the maximum value of the measurement data.
4. The method according to claim 3, characterized in that the normalized scoring method, in particular the score Z of the grid, and the measurement data X satisfy the following formula:
5. the method according to any one of claims 1 to 4, wherein the third preset rule is a scoring method for setting data grading, and specifically comprises:
if the planning base station can cover the complaint hot spot area, and the complaint hot spot area contains 15 or more complaints, the complaint processing score of the planning base station is 100 points;
if the planning base station can cover the complaint hot spot area, and the complaint hot spot area contains 10 or more complaints, the complaint processing score of the planning base station is 80 points;
if the planning base station can cover the complaint hot spot area, and the complaint hot spot area contains less than 10 complaints, the complaint processing score of the planning base station is 60 points;
and if the planning base station cannot cover the complaint hot spot area, the complaint treatment score of the planning base station is 0.
6. The method of claim 1, wherein calculating a total score for a base station based on the RSRP score, the traffic score, the number of users score, the number portability user score, and the complaint handling score comprises:
if the RSRP scoring weight is J, the traffic scoring weight is K, the user quantity scoring weight is L, the number portability user scoring weight is P, and the complaint handling scoring weight is Q, the total score of the planning base station = RSRP scoring J + traffic scoring K + user quantity scoring L + number portability user scoring P + complaint handling scoring Q.
7. A base station scoring apparatus, comprising:
the data acquisition module is used for acquiring the measurement data of the target area; wherein the target area comprises a coverage area of a planned base station; the measurement data comprises flow data of a target area, reference Signal Received Power (RSRP) data, user quantity data, number portability user data and complaint hot spot data;
a first calculating module, configured to calculate, according to a first preset rule, an RSRP score, a traffic score, and a user quantity score of the planned base station, respectively, based on the RSRP data, the traffic data, and the user quantity data; the first preset rule is a normalization scoring method based on a confidence interval;
a second calculation module to:
calculating the average number portability user number M of the single cell in the target area;
calculating the number N of average single-cell number portability users of cells in a preset range around the planning base station;
calculating the number portability user score Z of the base station Rotation carrying device Z is the same as Carrying and rotating device And the M and the N satisfy the following formula:
the third calculation module is used for calculating a complaint processing score of the planning base station according to a third preset rule based on the complaint hot spot data;
and the fourth calculating module is used for calculating the total score of the planning base station according to the RSRP score, the flow score, the user number score, the number portability user score and the complaint handling score.
8. A base station scoring apparatus, comprising: a processor, a communication interface, and a memory; wherein the memory is configured to store one or more programs, the one or more programs including computer-executable instructions that, when executed by the base station scoring apparatus, cause the base station scoring apparatus to perform the base station scoring method of any one of claims 1 to 6.
9. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a computer, cause the computer to perform the base station scoring method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011217980.2A CN112312458B (en) | 2020-11-04 | 2020-11-04 | Base station scoring method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011217980.2A CN112312458B (en) | 2020-11-04 | 2020-11-04 | Base station scoring method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112312458A CN112312458A (en) | 2021-02-02 |
| CN112312458B true CN112312458B (en) | 2022-11-11 |
Family
ID=74326028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011217980.2A Active CN112312458B (en) | 2020-11-04 | 2020-11-04 | Base station scoring method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112312458B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113453253B (en) * | 2021-06-23 | 2022-09-02 | 中国联合网络通信集团有限公司 | Full-user quantity evaluation method and device |
| CN113489776B (en) * | 2021-06-30 | 2024-08-13 | 北京小米移动软件有限公司 | Hot spot detection method, device, monitoring server and storage medium |
| CN115988509B (en) * | 2022-12-05 | 2023-07-04 | 北京中网华通设计咨询有限公司 | Communication network planning method, system, terminal and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348717A (en) * | 2019-06-28 | 2019-10-18 | 中国移动通信集团吉林有限公司 | Base station value methods of marking and device based on grid granularity |
| CN111047197A (en) * | 2019-12-11 | 2020-04-21 | 亚信科技（中国）有限公司 | Strategic attack and defense decision assessment method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10791468B2 (en) * | 2018-09-17 | 2020-09-29 | Verizon Patent And Licensing Inc. | System and method for cell placement using end-user-device scoring |
-
2020
- 2020-11-04 CN CN202011217980.2A patent/CN112312458B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348717A (en) * | 2019-06-28 | 2019-10-18 | 中国移动通信集团吉林有限公司 | Base station value methods of marking and device based on grid granularity |
| CN111047197A (en) * | 2019-12-11 | 2020-04-21 | 亚信科技（中国）有限公司 | Strategic attack and defense decision assessment method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112312458A (en) | 2021-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112312458B (en) | Base station scoring method and device | |
| CN110430583B (en) | SSB beam optimization configuration method and device | |
| US8965383B2 (en) | Load balancing method and device | |
| CN110602713B (en) | Base station construction evaluation method and device | |
| US8675587B2 (en) | Method and apparatus for planning radio frequency spectrum in a fixed wireless network | |
| CN114567903B (en) | Network evaluation method and device and computer readable storage medium | |
| CN104125580B (en) | A kind of network plan method and device | |
| US8761102B2 (en) | Method and apparatus for planning radio frequency spectrum in a wireless network | |
| CN109474942B (en) | Wireless network optimization method and device | |
| CN101646177B (en) | Method for assisting in selecting mounting position of wireless network access equipment | |
| CN103686818A (en) | Simulation test method and equipment | |
| CN108462965A (en) | Share planing method in a kind of steel tower demand site | |
| Wang et al. | Base station deployment with capacity and coverage in WCDMA systems using genetic algorithm at different height | |
| CN113891336B (en) | Communication network frequency-reducing network-exiting method, device, computer equipment and storage medium | |
| CN113728673A (en) | Method and apparatus for estimating data traffic suppressed by radio problems | |
| US8526320B2 (en) | Method and apparatus for automatic estimation of traffic reassignment | |
| CN112738813A (en) | Network construction assessment method and device | |
| CN113950080A (en) | Method and device for determining optimized cell and storage medium | |
| CN111093207B (en) | Signal coverage quality evaluation method and device of mobile communication network | |
| CN115474206A (en) | Real-time people number determination method and device, electronic equipment and storage medium | |
| CN105592528B (en) | A kind of cut-in method of WLAN and multimode user equipment in honeycomb hybrid network | |
| CN114154765B (en) | Cell prediction method, device, electronic equipment and storage medium | |
| CN114928849B (en) | Base station deployment method and device, electronic equipment and storage medium | |
| CN108834168B (en) | Method and device for determining coverage capability | |
| CN114071517B (en) | Method and device for identifying over-coverage base station, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |