CN109905882B - Network capacity expansion method and device - Google Patents
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Abstract
The application provides a network capacity expansion method and a network capacity expansion device, relates to the technical field of wireless communication, and can accurately calculate the capacity expansion value of a cell, master an actual value cell and improve the efficiency of resource delivery, wherein the method comprises the following steps: determining at least two cells to be expanded in a designated area; acquiring data information of the cell to be expanded, wherein the data information comprises a user income and output value of the cell to be expanded, a complaint work order and time for meeting an expansion condition; analyzing the value of the cell to be expanded according to the data information to obtain a priority list of all the cells to be expanded; and outputting the priority list of the cell to be expanded to assist in network expansion operation.
Description
Technical Field
The present application relates to the field of wireless communications technologies, and in particular, to a network capacity expansion method and apparatus.
Background
With the development and scale construction of network technology, the demand of users on network resources is increasing day by day, and the capacity problem of network hot spot areas is also highlighted day by day, but because the spectrum resources and construction investment are limited, the capacity expansion of all high-load cells is not practical. Therefore, value analysis and capacity expansion evaluation need to be performed on all high-load cells, and capacity expansion is performed on part of the high-load cells according to the value analysis and capacity expansion evaluation, so that the user perception is guaranteed, and the resource delivery benefit is guaranteed.
The existing cell network high load assessment method comprises the following steps: (1) based on the wireless air interface service model, the cell is determined according to different wireless index standards, such as indexes of Radio Resource Control (RRC) user connection number, cell Physical Resource Block (PRB) utilization rate, and the like. But the single index is used for evaluating the existence of burstiness of the high-load cell, such as the number of user connections; the network load is evaluated through the resource occupation situation without considering the user perception situation, such as the PRB utilization rate. And judging whether the capacity expansion still causes the waste of capacity expansion resources according to the incomplete index. In addition, the resources and environments of different cells are different, and the investment income of the base station, the requirements of users and the public praise of the network are also different. (2) And judging whether the current cell network needs to be expanded or not by acquiring the ratio of the peak flow to the planned bandwidth, namely the bandwidth utilization rate. The mode lacks time limitation on the expansion cell, the estimated expansion cell has randomness, the peak flow has an emergency, and the high-load cell cannot be judged comprehensively and accurately. (3) The method comprises the steps of collecting mobile user Internet surfing record information of a plurality of cells, wherein the mobile user Internet surfing record information comprises user identification, service types corresponding to the user identification, uplink flow, downlink flow and Internet surfing duration corresponding to the service types, and judging whether the network needs capacity expansion or not through the mobile user Internet surfing record information. The method judges whether the network needs capacity expansion through the service volume of the mobile user, and has the problem that the network bearing condition cannot be comprehensively evaluated.
Disclosure of Invention
The application provides a network capacity expansion method and device, which can accurately calculate the capacity expansion value of a cell, master the actual value cell and improve the efficiency of resource delivery.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a network capacity expansion method, including:
determining at least two cells to be expanded in a designated area; acquiring data information of the cell to be expanded, wherein the data information comprises a user income and output value of the cell to be expanded, a complaint work order and time for meeting an expansion condition; performing weighted analysis on the cells to be expanded according to the data information to acquire the priorities of all the cells to be expanded; and outputting the priority list of the cell to be expanded to assist in network expansion operation.
In a second aspect, the present application provides a network capacity expansion apparatus, including:
the determining unit is used for determining at least two cells to be expanded in the designated area; the acquisition unit is used for acquiring data information of the cell to be expanded, wherein the data information comprises a user income and output value of the cell to be expanded, a complaint work order and time meeting an expansion condition; the analysis unit is used for carrying out weighted analysis on the cells to be expanded according to the data information so as to obtain the priorities of all the cells to be expanded; and the output unit is used for outputting the priority list of the cell to be expanded so as to assist in network expansion operation.
In a third aspect, the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes the network capacity expansion method according to any one of the first aspect and various optional implementation manners.
In a fourth aspect, the present application provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the network capacity expansion method according to the first aspect and any one of the various alternative implementations thereof.
In a fifth aspect, a network capacity expansion apparatus is provided, including: the system comprises a processor, a memory and a communication interface, wherein the communication interface is used for the communication between the test device and other equipment or a network, the memory is used for storing programs, and the processor calls the programs stored in the memory to execute the network capacity expansion method of the first aspect.
The method and the device for expanding the capacity of the network provided by the application determine the cell to be expanded by screening the cells in the designated area and judging whether the cell meets the expansion condition, then perform normalization analysis processing according to the data information of the cell to be expanded, finally obtain the priority list of the cell to be expanded, and output the priority list, so that an operator or operating equipment can perform network expansion according to the priority list of the cell to be expanded. On the basis of meeting the conventional wireless index capacity expansion evaluation condition, the value of the high-load cell is analyzed by combining factors such as expected value, public praise value and effective capacity expansion of the cell, and the capacity expansion value of the output cell is evaluated. And carrying out differential expansion according to the value priority of the high-load cell, and ensuring the resource delivery benefit while improving the user perception.
Drawings
Fig. 1 is a schematic flow chart of a network capacity expansion method according to an embodiment of the present application;
fig. 2 is a first schematic structural diagram of a network capacity expansion device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a network capacity expansion device according to an embodiment of the present application.
Detailed Description
The following describes in detail a network capacity expansion method, device, and system provided in the embodiments of the present application 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 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 normalization process has two forms, one is to change the number to a decimal number between (0, 1), and the other is to change a dimensional expression to a dimensionless expression. The method is mainly provided for data processing convenience, and the data is mapped into a range of 0-1 for processing, so that the method is more convenient and faster.
The network capacity expansion method provided by the embodiment of the application can be applied to a network capacity expansion system on a base station side, firstly, the cells in a designated area are screened, a list of the cells to be expanded is obtained by judging whether the cells meet capacity expansion conditions, then, according to data information of the cells to be expanded, an expected value factor, a public praise influence factor and an effective capacity expansion factor are obtained through normalization processing, the three influence factors are subjected to weighted analysis, finally, a priority list of the cells to be expanded is obtained, and network capacity expansion is carried out according to the priority list of the cells to be expanded, so that the resource delivery benefit is ensured while the perception of users is improved.
An embodiment of the present application provides a network capacity expansion method, as shown in fig. 1, the method may include S101 to S104:
s101, determining at least two cells to be expanded in a specified area.
Including a plurality of cells in a designated area, if the capacity expansion investment benefit of all the cells in the area is too low, it is first necessary to perform a preliminary screening on the cells in the designated area, and the screening process includes: judging whether a cell in a designated area can simultaneously meet a first capacity expansion condition and a second capacity expansion condition, wherein the first capacity expansion condition comprises that the average PRB utilization rate and/or the average RRC connection number during busy cell meet a preset capacity expansion threshold value, and the second capacity expansion condition comprises that the downlink flow of an air interface during busy cell meet the preset capacity expansion threshold value; and if so, determining the cell as the cell to be expanded.
Specifically, it is determined whether the cells in the designated area can simultaneously satisfy the first capacity expansion condition and the second capacity expansion condition, and referring to table 1, the types of the capacity expansion thresholds include 20M bandwidth, 15M bandwidth, and 10M bandwidth. The capacity expansion dimensionality of the first capacity expansion condition comprises the average PRB utilization rate and/or the average RRC connection number when the cell is busy, when the bandwidth is 20M, the average PRB utilization rate when the cell is busy needs to be more than 80%, and/or the average RRC connection number when the cell is busy exceeds 160; when the bandwidth is 15M, the average PRB utilization rate in busy cells needs to reach more than 80%, and/or the average RRC connection number in busy cells exceeds 120; when the bandwidth is 10M, the average PRB utilization rate in the busy cell needs to be more than 80%, and/or the average RRC connection number in the busy cell exceeds 80.
The capacity expansion dimension of the second capacity expansion condition includes an air interface downlink flow rate when the cell is busy, and when the bandwidth is 20M, the air interface downlink flow rate when the cell is busy exceeds 8.4 GB; when the bandwidth is 15M, the downlink flow of an air interface during busy of a cell exceeds 6.3 GB; when the bandwidth is 10M, the downlink traffic of the air interface during busy of the cell exceeds 4.2 GB. And if the cell in the designated area can simultaneously meet the first capacity expansion condition and the second capacity expansion condition, determining the cell as a cell to be subjected to capacity expansion. Thereby obtaining the cell to be expanded in the designated area.
It should be noted that the category of the expansion threshold and the corresponding value are artificially set according to historical data, and may further include other values that meet the conditions of the cells in the designated area, which is not limited in this embodiment of the present application.
TABLE 1
And S102, acquiring data information of the cell to be expanded.
All the cells to be expanded are determined through the step S101, and then data information of the cells to be expanded is obtained, wherein the data information comprises the user income and output value of the cells to be expanded, the complaint work order and the time meeting the expansion condition.
According to the existing network user structure, users of packages without flow limit account for about 50% of total users, the other half of users are traditional users of packages with fixed flow, and for the users without flow limit, the more the number of users absorbed by a cell to be expanded is, the higher the income of the cell to be expanded is; for a fixed flow user, the more the user use exceeds package flow, the higher the profit of the cell to be expanded. For a low zero traffic user, for example, the user uses a traffic less than 500M in the month, the user is defined as a low zero traffic user, which has little influence on the capacity of the base station, and therefore the low zero traffic user is not counted. Specifically, to obtain the package income and output value of the user of the cell to be expanded, the package flow income of the user paid out in the month, the data flow generated by the user in the cell to be expanded in the month and the total flow used by the user in the month need to be obtained; to obtain the flow income and output value exceeding the package, the monthly flow income exceeding the package of the user, the monthly data flow exceeding the package of the user generated in the cell to be expanded, and the monthly total data flow exceeding the package of the user are required to be obtained. The complaint work order and the time meeting the capacity expansion condition can be directly obtained from the network operation and maintenance system.
S103, carrying out weighted analysis on the cells to be expanded according to the data information to obtain a priority list of all the cells to be expanded.
The data information of the cell to be expanded is obtained through the step S102, and the expected value factor, the public praise influence factor, and the effective expansion factor of the cell to be expanded are obtained through normalization processing according to the data information, which specifically includes: according to whatThe user income and output value of the cell to be expanded can be calculated by the package income and output value of the user and the flow income and output value beyond the package, and the income and output value of the cell is
Wherein, the package income and output value of the cell users to be expanded
FiPacked meal flow revenue, T, for user i's monthlyiThe data traffic generated under the cell for the user i in the current month; l isiUsing the total flow for user i in the month;
the revenue and production value of the flow beyond the package
fjA flow revenue for the user j's outstanding package in the month; t is tjThe data traffic of the user j exceeding the package generated in the cell in the current month; ljThe total data traffic for user j that exceeds the package in the month.
Illustratively, referring to tables 2 and 3, table 2 is user plane traffic data, and table 3 is a user ticket, which contains all elements required for calculation, and the revenue generating value P OF the to-be-expanded cell DG-a-HLXiCheng-403419-2-1-OF can be calculated according to the above formula and is equal to 33713.37 yuan.
TABLE 2
TABLE 3
The expected value factor of the cell to be expanded is obtained to enable an operator to know the economic benefit of the cell in the network in a visual mode, and a basis is further provided for the expansion decision of the cell to be expanded according to the economic benefit performance of each cell.
And obtaining a public praise influence factor of the cell to be expanded according to the complaint work order, wherein the public praise value is related to the influence of the user. The greater the user influence, the greater the "credibility" in the information conveyance process, and the greater the tendency of the recipient to learn and take action. The user public praise value is a value created when a user promotes (defaults) a certain operator product brand to others to cause an increase (decrease) in enterprise sales and an increase (decrease) in profit. The user influence is positive or negative, and the positive user influence is beneficial to the operator to establish good image, develop new users for the operator and is beneficial to the operator. While negative user impact comes from user complaints about the operator's network quality, which pushes potential users of the operator, and even existing users of the operator, to competitors. Positive user ratings are not readily available from the network operation and maintenance system, but negative ratings may be obtained from the user's complaint work order, thereby correlating the expected price of the complaint user with the public praise impact factor. Illustratively, referring to Table 4, the work order case is complained to the customer.
TABLE 4
Obtaining an effective capacity expansion factor of the cell to be expanded according to the time meeting the capacity expansion condition, wherein one of the characteristics of the cell to be expanded with high load is that the restrained user traffic is released, and the user traffic can be released after the capacity expansion. The telephone traffic of the expansion sector will be in a growing trend, which is called effective expansion; if the traffic of the expansion sector does not increase or even has a downward trend, the expansion is called as invalid expansion, and the invalid expansion is a waste of resources. However, since the flow rate, the PRB utilization rate, and the number of cell RRC connection users are all values that change in real time, these conditions may fall back to a lower value after exceeding the capacity threshold, and if the capacity of the cell to be expanded is expanded according to the fact that the flow rate, the PRB utilization rate, and the number of cell RRC connection users exceed the capacity threshold, the expansion may be invalid. Therefore, the number of hours satisfying the above expansion condition in the past period is taken as an "effective expansion factor", and the larger the value is, the longer the time the target cell is subjected to high traffic pressure is, the more stable the user distribution is, and the lower the probability of event-triggered traffic increase is, and the effective expansion factor is used to predict the effectiveness after expansion. The accuracy of capacity evaluation can be greatly improved through double evaluation on time and indexes, the network capacity early warning condition is evaluated through acquiring wireless indexes such as the average number of RRC connections, the air interface downlink service flow, the average utilization rate of downlink PRBs (physical resource blocks), and the like in the table 1, meanwhile, the continuous early warning time is counted to be used as evaluation of the capacity expansion emergency degree and the capacity expansion effectiveness of the high-load cell, and the accuracy of the high-load cell evaluated in the double dimensionalities of the indexes and the time is higher. For example, referring to table 5, table 5 shows the number of hours that the capacity expansion condition is satisfied in a past period of time of the plurality of cells to be expanded.
TABLE 5
After the income value, the public praise value and the effective capacity expansion time of the cell to be expanded are obtained, since the unit of each factor of the comprehensive evaluation is different and the magnitude difference is large, normalization processing needs to be carried out respectively to eliminate the unit and magnitude difference between the factors
The converted values are distributed in [0-1 ]]To facilitate subsequent cumulative comparisons. For example, referring to tables 6 to 8, the values of the expected value factor, the public praise influence factor and the effective capacity expansion factor are obtained for the normalization processing of the plurality of cells to be expanded.
TABLE 6
TABLE 7
TABLE 8
| Name of cell | Meet the expansion hours | Effective capacity expansion factor |
| DG-A-HLXiCheng-403419-2-1-OF | 172 | 0.90 |
| DG-A-CPWangGui-403706-3-2-OF | 106 | 0.82 |
| DG-A-LBXingChengXZW1-270614-1-1-MF | 122 | 0.84 |
| DG-A-DCWenZhuLu-403121-3-1-OF | 50 | 0.68 |
| DG-A-NCYouYiShiChang-402772-1-1-OF | 65 | 0.73 |
After normalization processing, overlapping the three factors to obtain a processing result, and finally sequencing the cells to be expanded according to the processing result to obtain a priority list of the cells to be expanded. Illustratively, referring to table 9, it is the final priority list of the cells to be expanded.
TABLE 9
And S104, outputting the priority list of the cell to be expanded to assist in network expansion operation.
After the priority list of the cell to be expanded is obtained in step S103, the priority list of the cell to be expanded is output, so that an operator or an operating device can perform differentiated expansion and network capacity guarantee on the premise of comprehensively considering 3 factors, namely, the expected value factor, the public praise influence factor and the effective expansion factor, of the cell to be expanded.
The network capacity expansion method and device provided by the application determine the cell to be expanded by screening the cells in the designated area and judging whether the cell meets the capacity expansion condition, then perform normalization processing, weighting analysis and summation according to the data information of the cell to be expanded, finally obtain the priority list of the cell to be expanded, and output the priority list, so that an operator or operating equipment performs network capacity expansion according to the priority list of the cell to be expanded. On the basis of meeting the conventional wireless index capacity expansion evaluation condition, the high-load cell is analyzed by combining factors such as the expected value, public praise value and effective capacity expansion of the cell, and the capacity expansion value of the output cell is evaluated. And carrying out differential expansion according to the value priority of the high-load cell, and ensuring the resource delivery benefit while improving the user perception.
In the embodiment of the present application, the network capacity expansion device may be divided into the functional modules or the functional units according to the above method example, 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.
Fig. 2 is a schematic diagram illustrating a possible structure of the network capacity expansion apparatus according to the foregoing embodiment. The apparatus 100 includes a determining unit 101, an obtaining unit 102, an analyzing unit 103, and an output unit 104, specifically:
the determining unit 101 is configured to determine at least two cells to be expanded in the designated area.
An obtaining unit 102, configured to obtain data information of the cell to be expanded, where the data information includes a package revenue and output value of a user of the cell to be expanded, a flow revenue and output value exceeding outside the package, a complaint work order, and time meeting an expansion condition.
The analysis unit 103 is configured to perform weighted analysis on the cell to be expanded according to the data information to obtain a priority list of all the cells to be expanded.
And the output unit 104 is configured to output the priority list of the cell to be expanded to assist in network expansion operation.
Optionally, the determining unit 101 is specifically configured to:
judging whether a cell in a designated area can simultaneously meet a first capacity expansion condition and a second capacity expansion condition, wherein the first capacity expansion condition comprises that the average PRB utilization rate and/or the average RRC connection number during busy cell meet a preset capacity expansion threshold value, and the second capacity expansion condition comprises that the downlink flow of an air interface during busy cell meet the preset capacity expansion threshold value;
and if so, determining the cell as the cell to be expanded.
Optionally, the analysis unit 103 is specifically configured to:
obtaining an expected value factor of the cell to be expanded according to the user income and output value of the cell to be expanded, obtaining a public praise influence factor of the cell to be expanded according to the complaint work order, and obtaining an effective expansion factor of the cell to be expanded according to the time meeting the expansion condition;
weighting and summing the expected value factor, the public praise influence factor and the effective expansion factor of the cell to be expanded to obtain a processing result;
and sequencing the cells to be expanded according to the processing result to obtain a priority list of the cells to be expanded.
Optionally, the revenue generation value of the cell
Wherein the package income and output value of the cell users
FiPacked meal flow revenue, T, for user i's monthlyiThe data traffic generated under the cell for the user i in the current month; l isiUsing the total flow for user i in the month;
the revenue and production value of the flow beyond the package
fjA flow revenue for the user j's outstanding package in the month; t is tjThe data traffic of the user j exceeding the package generated in the cell in the current month; ljThe total data traffic for user j that exceeds the package in the month.
Fig. 3 is a schematic diagram illustrating still another possible structure of the network capacity expansion apparatus according to the foregoing embodiment. The apparatus 300 comprises: a processor 302 and a communication interface 303. The processor 302 is configured to control and manage the actions of the apparatus 300, for example, to execute the determining unit 101, the analyzing unit 103, the executed steps, and/or other processes for performing the techniques described herein. The communication interface 303 is used for supporting communication between the apparatus 300 and other network entities, for example, performing the steps performed by the acquiring unit 102 and the outputting unit 104. The apparatus 300 may further comprise a memory 301 and a bus 304, the memory 301 being arranged to store program codes and data of the apparatus 300.
Wherein the memory 301 may be a memory in the apparatus 300, which may include volatile memory, such as 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. 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. 3, but this does not mean only one bus or one 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 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 present application provides a computer program product including instructions, which when run on a computer, causes the computer to execute the network capacity expansion method described in the above method embodiments.
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 network device executes the instructions, the network device executes each step executed by the network 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 thereof. 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 (6)
1. A method for expanding a network, comprising:
judging whether a cell in a designated area can simultaneously meet a first capacity expansion condition and a second capacity expansion condition, wherein the first capacity expansion condition comprises that the average PRB utilization rate and/or the average RRC connection number during busy cell meet a preset capacity expansion threshold value, and the second capacity expansion condition comprises that the downlink flow of an air interface during busy cell meet the preset capacity expansion threshold value;
if yes, determining the cell as a cell to be expanded;
determining at least two cells to be expanded in a designated area;
acquiring data information of the cell to be expanded, wherein the data information comprises a user income and output value of the cell to be expanded, a complaint work order and time for meeting an expansion condition;
obtaining an expected value factor of the cell to be expanded according to the user income and output value of the cell to be expanded, obtaining a public praise influence factor of the cell to be expanded according to the complaint work order, and obtaining an effective expansion factor of the cell to be expanded according to the time meeting the expansion condition;
summing the expected value factor, the public praise influence factor and the effective expansion factor of the cell to be expanded to obtain a processing result;
sequencing the cells to be expanded according to the processing result to obtain a priority list of the cells to be expanded;
and outputting the priority list of the cell to be expanded to assist in network expansion operation.
2. The network capacity expansion method of claim 1, wherein the expected value factor of the cell to be expanded is obtained according to a user revenue output value of the cell to be expanded, wherein the user revenue output value is calculated from a package revenue output value of a user and a flow revenue output value beyond the package:
revenue generation value of the cell
，
Wherein the package income and output value of the cell users
，
The package flow revenue for user i is billed for the month,
the data traffic generated under the cell for the user i in the current month;
using the total flow for user i in the month;
the revenue and production value of the flow beyond the package
,
A flow revenue for the user j's outstanding package in the month;
the data traffic of the user j exceeding the package generated in the cell in the current month;
for the user
Total data traffic for packages exceeding monthly。
3. A network capacity expansion device, comprising:
the system comprises a determining unit and a judging unit, wherein the determining unit is used for judging whether cells in a designated area can simultaneously meet a first capacity expansion condition and a second capacity expansion condition, the first capacity expansion condition comprises that the average PRB utilization rate and/or the average RRC connection number in busy cells meet a preset capacity expansion threshold value, and the second capacity expansion condition comprises that the downlink flow of an air interface in busy cells meets the preset capacity expansion threshold value; if yes, determining the cell as a cell to be expanded;
the determining unit is further configured to determine at least two cells to be expanded in a designated area;
the acquisition unit is used for acquiring data information of the cell to be expanded, wherein the data information comprises a user income and output value of the cell to be expanded, a complaint work order and time meeting an expansion condition;
the analysis unit is used for obtaining an expected value factor of the cell to be expanded according to the user income and output value of the cell to be expanded, obtaining a public praise influence factor of the cell to be expanded according to the complaint work order, and obtaining an effective expansion factor of the cell to be expanded according to the time meeting the expansion condition;
the analysis unit is further configured to sum the expected value factor, the public praise influence factor, and the effective capacity expansion factor of the cell to be expanded to obtain a processing result;
the analysis unit is further configured to sort the cells to be expanded according to the processing result to obtain a priority list of the cells to be expanded;
and the output unit is used for outputting the priority list of the cell to be expanded so as to assist in network expansion operation.
4. The network capacity expansion device of claim 3, wherein the expected value factor of the cell to be expanded is obtained according to a user revenue output value of the cell to be expanded, and the user revenue output value is calculated from a package revenue output value and a flow revenue output value beyond the package:
revenue generation value of the cell
，
Wherein the package income and output value of the cell users
，
The package flow revenue for user i is billed for the month,
the data traffic generated under the cell for the user i in the current month;
using the total flow for user i in the month;
the revenue and production value of the flow beyond the package
,
A flow revenue for the user j's outstanding package in the month;
the data traffic of the user j exceeding the package generated in the cell in the current month;
for the user
The total data traffic for the package is exceeded during the month.
5. A network capacity expansion device, the device comprising: a processor, a memory, and a communication interface, the communication interface for communicating with the apparatus and other devices or networks, the memory for storing programs, the processor calling the programs stored in the memory to perform the network capacity expansion method of any one of claims 1-2.
6. A computer-readable storage medium having instructions stored therein, which when executed by a computer, cause the computer to perform the method of network expansion of any of the preceding claims 1-2.
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| CN110830307B (en) * | 2019-11-21 | 2022-02-15 | 中盈优创资讯科技有限公司 | Network capacity expansion method and device |
| CN111126789A (en) * | 2019-12-02 | 2020-05-08 | 北京天元创新科技有限公司 | Cell intelligent capacity expansion method and device based on cell traffic |
| CN113260070B (en) * | 2020-02-13 | 2023-04-07 | 中国移动通信集团广东有限公司 | Load scheduling method and device and electronic equipment |
| CN113965900B (en) * | 2020-07-20 | 2023-09-05 | 中国移动通信集团安徽有限公司 | Method, device, computing equipment and storage medium for dynamically expanding flow resources |
| CN111968654B (en) * | 2020-08-24 | 2022-09-16 | 成都潜在人工智能科技有限公司 | Self-adaptive mixed domain audio watermark embedding method |
| CN115250486B (en) * | 2021-04-28 | 2024-06-11 | 中国移动通信集团四川有限公司 | Network capacity expansion method and device and electronic equipment |
| CN113691991B (en) * | 2021-08-26 | 2022-09-13 | 中国联合网络通信集团有限公司 | Network capacity expansion method, device, equipment, mobile robot and storage medium |
| CN114520981B (en) * | 2022-03-21 | 2023-06-13 | 中国联合网络通信集团有限公司 | Base station cell capacity expansion method, device, equipment and storage medium |
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