CN109495900B - Capacity expansion method and device and computer readable storage medium - Google Patents
Capacity expansion method and device and computer readable storage medium Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The embodiment of the invention provides a capacity expansion method, a capacity expansion device and a computer readable storage medium, wherein the method comprises the following steps: acquiring a single-cell user guaranteed rate under each evolved radio access bearer (E-RAB) flow in a first area; determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area; wherein the second area is larger than the first area.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a capacity expansion method and apparatus, and a computer-readable storage medium.
Background
Currently, in a Long Term Evolution (LTE) system, the utilization rate of radio resources, the number of users, and the traffic are generally used as important reference indexes for carrier frequency expansion. The carrier frequency expansion is calculated by taking a cell as a unit, and engineering implementation is carried out by taking a base station as a unit.
The traditional technical scheme mainly comprises two categories, namely a capacity expansion method mainly based on the load condition and the load level of cell resources, and a capacity expansion method based on the user perception level. The former category needs to be based on statistical analysis of cell network management data, and includes indexes such as the number of effective RRC connection users, channel utilization rate and flow, which are relatively intuitive, but are not closely linked with user experience, and cannot objectively and truly reflect the perception level of the current business process of the user. The latter expansion method considers user perception to a certain extent, but network management data cannot meet analysis requirements, and has strong dependence on platforms such as deep packet analysis and the like, and for the current stage of network construction and development conditions, the popularity and accuracy of the deep packet analysis platform are limited, so that the method has great difficulty in actual operation.
Disclosure of Invention
In view of this, embodiments of the present invention are intended to provide a capacity expansion method, apparatus, and computer-readable storage medium.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the embodiment of the invention provides a capacity expansion method, which comprises the following steps:
acquiring a single-cell user guaranteed rate under each evolved radio access bearer (E-RAB) flow in a first area;
determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area;
wherein the second area is larger than the first area.
The obtaining of the single-cell user guaranteed rate per E-RAB flow in the first area includes:
determining each E-RAB flow value of each cell based on the service model information and the network load information of each cell in the first area in a preset period;
grouping all cells in the first area based on the E-RAB flow values to obtain a service proportion model of the cells in each group;
and determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
Wherein, the determining whether the cell in the second area needs capacity expansion based on the single-cell user guaranteed rate under each E-RAB flow and the network management data corresponding to the second area includes:
grouping all cells in the second region based on the service characteristics of each cell in the network management data, wherein the grouping corresponds to the cell grouping in the first region;
determining a single-cell user guaranteed rate corresponding to a cell in the second area based on the grouping;
and determining whether the cell in the second area needs capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition.
Wherein the determining a single-cell user guaranteed rate corresponding to a cell in the second region based on the grouping comprises:
and determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area.
Wherein, the determining whether the cells in the second area need capacity expansion based on the determined single-cell user guaranteed rate and the preset condition includes:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
An embodiment of the present invention further provides a capacity expansion device, where the capacity expansion device includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the single-cell user guarantee rate under the E-RAB flow of each evolved wireless access bearer in a first area;
the processing module is used for determining whether the cell in the second area needs to be expanded or not based on the single-cell user guaranteed rate under each E-RAB flow and the network management data corresponding to the second area;
wherein the second area is larger than the first area.
Wherein the acquisition module comprises:
a first determining unit, configured to determine, in a preset period, an E-RAB flow value of each cell based on service model information and network load information of each cell in the first area;
a second determining unit, configured to group all cells in the first area based on the per-E-RAB traffic values, and obtain a service proportion model of the cells in each group;
and the third determining unit is used for determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
Wherein the processing module comprises:
a fourth determining unit, configured to group all cells in the second area based on service features of each cell in the network management data, where the group corresponds to a cell group in the first area;
a fifth determining unit, configured to determine, based on the group, a single-cell user guaranteed rate corresponding to a cell in the second area;
and a sixth determining unit, configured to determine whether the cell in the second area needs to be expanded based on the determined single-cell user guaranteed rate and a preset condition.
An embodiment of the present invention further provides a capacity expansion device, including: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of the above method when running the computer program.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-mentioned method.
The capacity expansion method, the capacity expansion device and the computer readable storage medium provided by the embodiment of the invention are used for acquiring the single-cell user guaranteed rate under the flow of each evolved radio access bearer (E-RAB) in a first area; determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area; wherein the second area is larger than the first area. The embodiment of the invention fully considers the user perception, and brings the real experience of the user into the process of capacity expansion when calculating the guaranteed rate of the single-cell user, so that the network resources can be distributed as required, and the user experience is taken as the first; in addition, because the first region acquires the reference value and then applies the reference value to other regions (second regions), the embodiment of the invention has low dependency on a deep packet analysis platform when evaluating other regions, and only needs to use the existing network management data, so that the capacity expansion process is simple and convenient and is easy to operate.
Drawings
Fig. 1 is a schematic flow chart of a capacity expansion method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of the expansion device according to the embodiment of the present invention;
fig. 3 is a schematic structural diagram of the obtaining module according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a processing module according to an embodiment of the present invention.
Detailed Description
The invention is described below with reference to the figures and examples.
An embodiment of the present invention provides a capacity expansion method, as shown in fig. 1, the method includes:
step 101: acquiring a single-cell user guaranteed rate under each E-RAB flow in a first area;
step 102: determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area;
wherein the second area is larger than the first area.
In the embodiment of the invention, a plurality of typical areas, namely the first area, can be selected nationwide according to a certain classification mode; the first area can be classified into developed, underdeveloped and underdeveloped modes, and can also be an area with mature and perfect network construction, and the like.
The embodiment of the invention fully considers the user perception, and brings the real experience of the user into the process of capacity expansion when calculating the guaranteed rate of the single-cell user (in the process of calculating the guaranteed rate of the single-cell user, the guaranteed rate of the single service is obtained by methods of testing, counting and the like considering the user perception), so that the network resources can be distributed as required, and the user experience is taken as the first; in addition, because the first region acquires the reference value and then applies the reference value to other regions (second regions), the embodiment of the invention has low dependency on a deep packet analysis platform when evaluating other regions, and only needs to use the existing network management data, so that the capacity expansion process is simple and convenient and is easy to operate.
In the embodiment of the present invention, the obtaining a single-cell user guaranteed rate per E-RAB flow in a first area includes:
determining each E-RAB flow value of each cell based on the service model information and the network load information of each cell in the first area in a preset period;
grouping all cells in the first area based on the E-RAB flow values to obtain a service proportion model of the cells in each group;
and determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
In this embodiment of the present invention, the service proportion model of each group of cells includes: the service type set of each group of cells and the scale of each service type in the service type set account for the ratio.
In this embodiment of the present invention, the method for determining the scale ratio of each service type includes:
determining the scale proportion of each service type based on the service scales of all service types corresponding to all cells in each group and the service scale of each service type corresponding to all cells; alternatively, the first and second electrodes may be,
and determining the scale proportion of each service type based on the service scale of each service type corresponding to all cells in each group and the number of the cells with the service.
In this embodiment of the present invention, the determining, based on the guaranteed rate of the single-cell user per E-RAB flow and the network management data corresponding to the second area, whether the cell in the second area needs to be expanded includes:
grouping all cells in the second region based on the service characteristics of each cell in the network management data, wherein the grouping corresponds to the cell grouping in the first region;
determining a single-cell user guaranteed rate corresponding to a cell in the second area based on the grouping;
and determining whether the cell in the second area needs capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition.
In this embodiment of the present invention, the determining, based on the group, a single-cell user guaranteed rate corresponding to a cell in the second area includes:
and determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area.
In this embodiment of the present invention, the determining whether the cell in the second area needs to be expanded based on the determined guaranteed rate of the single-cell user and the preset condition includes:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
An embodiment of the present invention further provides a capacity expansion device, as shown in fig. 2, where the capacity expansion device includes:
an obtaining module 201, configured to obtain a single-cell user guaranteed rate per E-RAB flow in a first area;
a processing module 202, configured to determine whether a cell in a second area needs to be expanded based on the guaranteed rate of the single-cell user per E-RAB traffic and network management data corresponding to the second area;
wherein the second area is larger than the first area.
The embodiment of the invention fully considers the user perception, and brings the real experience of the user into the process of capacity expansion when calculating the guaranteed rate of the single-cell user, so that the network resources can be distributed as required, and the user experience is taken as the first; in addition, because the first region acquires the reference value and then applies the reference value to other regions (second regions), the embodiment of the invention has low dependency on a deep packet analysis platform when evaluating other regions, and only needs to use the existing network management data, so that the capacity expansion process is simple and convenient and is easy to operate.
In this embodiment of the present invention, as shown in fig. 3, the obtaining module 201 includes:
a first determining unit 301, configured to determine, in a preset period, an E-RAB flow value of each cell based on service model information and network load information of each cell in the first area;
a second determining unit 302, configured to group all cells in the first area based on the per-E-RAB traffic values, and obtain a service proportion model of the cells in each group;
a third determining unit 303, configured to determine a single-cell user guaranteed rate corresponding to each group based on single-service guaranteed rates of different services and the service proportional model corresponding to each group.
In this embodiment of the present invention, the service proportion model of each group of cells includes: the service type set of each group of cells and the scale of each service type in the service type set account for the ratio.
In this embodiment of the present invention, the determining, by the second determining unit 302, a scale proportion of each service type includes:
determining the scale proportion of each service type based on the service scales of all service types corresponding to all cells in each group and the service scale of each service type corresponding to all cells; alternatively, the first and second electrodes may be,
and determining the scale proportion of each service type based on the service scale of each service type corresponding to all cells in each group and the number of the cells with the service.
In this embodiment of the present invention, as shown in fig. 4, the processing module 202 includes:
a fourth determining unit 401, configured to group all cells in the second area based on the service feature of each cell in the network management data, where the group corresponds to a cell group in the first area;
a fifth determining unit 402, configured to determine, based on the group, a single-cell user guaranteed rate corresponding to a cell in the second area;
a sixth determining unit 403, configured to determine whether the cells in the second area need to be expanded based on the determined single-cell user guaranteed rate and a preset condition.
In this embodiment of the present invention, the determining, by the fifth determining unit 402, a single-cell user guaranteed rate corresponding to a cell in the second area based on the group includes:
and determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area.
In this embodiment of the present invention, the determining, by the sixth determining unit 403, whether the cells in the second area need to be expanded based on the determined single-cell user guaranteed rate and the preset condition includes:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
An embodiment of the present invention further provides a capacity expansion device, including: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to execute, when running the computer program:
acquiring a single-cell user guaranteed rate under each E-RAB flow in a first area;
determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area;
wherein the second area is larger than the first area.
When the guaranteed rate of the single-cell user per E-RAB flow in the first area is obtained, the processor is further configured to execute, when the computer program is run:
determining each E-RAB flow value of each cell based on the service model information and the network load information of each cell in the first area in a preset period;
grouping all cells in the first area based on the E-RAB flow values to obtain a service proportion model of the cells in each group;
and determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
The service proportion model of each group of cells comprises: the service type set of each group of cells and the scale of each service type in the service type set account for the ratio.
The processor is further configured to, when the computer program is run, perform:
determining the scale proportion of each service type based on the service scales of all service types corresponding to all cells in each group and the service scale of each service type corresponding to all cells; alternatively, the first and second electrodes may be,
and determining the scale proportion of each service type based on the service scale of each service type corresponding to all cells in each group and the number of the cells with the service.
When determining whether the cell in the second area needs capacity expansion based on the single-cell user guaranteed rate per E-RAB flow and the network management data corresponding to the second area, the processor is further configured to execute, when running the computer program:
grouping all cells in the second region based on the service characteristics of each cell in the network management data, wherein the grouping corresponds to the cell grouping in the first region;
determining a single-cell user guaranteed rate corresponding to a cell in the second area based on the grouping;
and determining whether the cell in the second area needs capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition.
The processor is further configured to, when determining the single-cell user guaranteed rate corresponding to the cell in the second region based on the group, execute, when running the computer program:
and determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area.
When determining whether the cell in the second area needs capacity expansion based on the determined single-cell user guaranteed rate and the preset condition, the processor is further configured to execute, when running the computer program:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
It should be noted that: in the above embodiment, when performing exception handling, the apparatus is only illustrated by dividing the program modules, and in practical applications, the above processing may be distributed to different program modules according to needs, that is, the internal structure of the device is divided into different program modules to complete all or part of the above described processing. In addition, the apparatus provided in the above embodiments and the corresponding method embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments and are not described herein again.
In an exemplary embodiment, the embodiment of the present invention also provides a computer-readable storage medium, which may be a Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disc, or CD-ROM; or may be a variety of devices including one or any combination of the above memories, such as a mobile phone, computer, tablet device, personal digital assistant, etc.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs:
acquiring a single-cell user guaranteed rate under each E-RAB flow in a first area;
determining whether the cell in the second area needs capacity expansion or not based on the single-cell user guaranteed rate under each E-RAB flow and network management data corresponding to the second area;
wherein the second area is larger than the first area.
When the guaranteed rate of the single-cell user under each E-RAB flow in the first area is obtained, the computer program is executed by the processor, and the method further comprises the following steps:
determining each E-RAB flow value of each cell based on the service model information and the network load information of each cell in the first area in a preset period;
grouping all cells in the first area based on the E-RAB flow values to obtain a service proportion model of the cells in each group;
and determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
The service proportion model of each group of cells comprises: the service type set of each group of cells and the scale of each service type in the service type set account for the ratio.
When the scale proportion of each service type is determined, the computer program is executed by the processor, and further executes:
determining the scale proportion of each service type based on the service scales of all service types corresponding to all cells in each group and the service scale of each service type corresponding to all cells; alternatively, the first and second electrodes may be,
and determining the scale proportion of each service type based on the service scale of each service type corresponding to all cells in each group and the number of the cells with the service.
When determining whether the cell in the second area needs capacity expansion based on the single-cell user guaranteed rate per E-RAB flow and the network management data corresponding to the second area, the computer program further executes, when executed by the processor:
grouping all cells in the second region based on the service characteristics of each cell in the network management data, wherein the grouping corresponds to the cell grouping in the first region;
determining a single-cell user guaranteed rate corresponding to a cell in the second area based on the grouping;
and determining whether the cell in the second area needs capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition.
When the single-cell user guaranteed rate corresponding to the cell in the second region is determined based on the grouping, the computer program, when executed by a processor, further performs:
and determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area.
When determining whether the cell in the second region needs capacity expansion based on the determined single-cell user guaranteed rate and the preset condition, the computer program further executes, when executed by the processor:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
The invention is described below in conjunction with the scenario embodiments.
The embodiment is mainly based on a typical area (a first area) depicting a service model, user perception and multidimensional data of network load, and establishes a connection between a network load index and a user perception index by taking the service model as a bridge, so as to output a capacity expansion reference value (a single-cell user guarantee rate of the first area) and facilitate a widely applied capacity expansion method.
Firstly, selecting a plurality of typical areas (namely, the first area) according to a certain classification mode on the national scale, wherein the typical areas can be classified modes such as developed, underdeveloped and underdeveloped, and the like, and can also be areas with mature and perfect network construction, and each typical area is processed as follows:
the method comprises the following steps: selecting a preset observation period, and counting the service model information of each cell in a typical area in the observation period, wherein the counting comprises the following steps: the type of service, the size of each type of service (i.e., the duration of the service or the amount of traffic generated by the service), etc.; and network load information such as the number of users, utilization rate, flow, average, E-RAB number, etc., and calculating the flow value per E-RAB of the cell as follows:
and the flow value of each E-RAB of the cell is the uplink and downlink flow of the cell and/or the average number of the E-RABs of the cell in busy hours.
Step two: and (3) dividing all the cells of the region (the first region) into a plurality of grades (namely grouping as described above) according to the flow value of each E-RAB, wherein each grade comprises a plurality of cell samples respectively, and obtaining a service proportion model of each grade of cell.
Here, the service proportion model of each range cell mainly includes: a set of service types of each range of cells (represented by a set T), and the scale of each service type in T is proportional; the service types can list all the occurred service types of the gear cell, and also can only select a plurality of typical service types as simplified models (such as web browsing, instant messaging, video service and the like); the scale proportion statistical method of each service type mainly comprises the following steps:
the method comprises the following steps: putting the service scales (duration and flow) corresponding to a certain service type in all the cells in the gear together as a sample pool, and calculating the scale proportion of each service type in the sample pool, namely the service duration or flow proportion, namely:
the second method comprises the following steps: calculating the service scale (duration and flow) of a certain service type corresponding to all the cells in the gear, and then taking the average value based on the number of the cells with the service:
it should be noted that this step needs to be updated periodically to track changes in the existing network service model.
Step three: and (3) obtaining the single-service guarantee rate of the service such as video, web page, instant messaging and the like by a testing or statistical method as a basis, and obtaining the single-cell guarantee rate of each E-RAB flow gear cell by combining the service proportion model of each E-RAB flow value gear obtained in the step two, wherein the single-cell guarantee rate is as follows:
therefore, the single-cell user guaranteed rate corresponding to each E-RAB flow gear cell is obtained and is used as a reference for further application expansion. It should be noted that the obtained guaranteed rate of the single-cell user needs to be calculated and obtained by differentiating uplink and downlink.
After the capacity expansion reference value list consisting of the single-cell user guaranteed rates corresponding to all the gear cells is obtained, the guaranteed rate which can be provided for the user by each E-RAB flow gear cell can be known, so that the method can be further applied to wider areas, and the capacity expansion based on user perception can be completed only by network management data. The evaluation based on the reference value can be divided into the following steps:
the method comprises the following steps: carrying out gear induction on the cell to be expanded;
here, the average value of the self busy hours of each E-RAB traffic of the cell in seven days can be counted, and it can be evaluated which interval of the reference value list it falls into, and the gear can also be generalized and fine-tuned according to other traffic model characteristics of the cell.
Step two: searching the single-cell user guaranteed rate of the cell to be expanded based on the gear;
here, the uplink and downlink single cell user guaranteed rate in the corresponding interval may be searched corresponding to the expanded reference value list.
Step three: the method for judging whether the cell is higher than the standard according to a preset criterion by taking the single-cell user guaranteed rate as the standard mainly comprises the following steps:
the method comprises the following steps: the seven-day self-busy hour average of the network load related indexes (such as the average number of effective RRC connections, the network utilization rate, the traffic, etc.) of the cell may be taken, and if the following inequality is satisfied, it is determined that the cell is higher than the reference in the current observation period (i.e., the above-mentioned predetermined condition is satisfied):
the second method comprises the following steps: the average uplink and downlink rates of the cell users obtained based on statistics are as follows: and counting the average values of the uplink and downlink speeds of the cell to be evaluated in a self busy hour within seven days, and if the average values of the uplink and downlink speeds are lower than the user guaranteed speed of a single cell or one direction of the uplink and downlink is lower than the guaranteed speed value of the single cell, judging that the cell in the observation period is higher than the reference.
Step four: determining the cells which are higher than the reference for many times and need capacity expansion according to a preset time accumulation principle; if the cell is determined once a week, the cells above the reference need to be expanded continuously for one month (four times).
The embodiment of the invention fully considers the user perception, and brings the real experience of the user into the process of capacity expansion when calculating the guaranteed rate of the single-cell user, so that the network resources can be distributed as required, and the user experience is taken as the first; in addition, because the first region acquires the reference value and then applies the reference value to other regions (second regions), the embodiment of the invention has low dependency on a deep packet analysis platform when evaluating other regions, and only needs to use the existing network management data, so that the capacity expansion process is simple and convenient and is easy to operate.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (7)
1. A capacity expansion method is characterized by comprising the following steps:
acquiring a single-cell user guarantee rate under E-RAB flow of each evolved wireless access bearer in a first area; the single cell user guaranteed rate under each E-RAB flow is obtained based on the single service guaranteed rates of different services;
grouping all cells in a second area based on the service characteristics of each cell in network management data corresponding to the second area, wherein the grouping corresponds to the cell grouping in the first area; determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area; determining whether the cells in the second area need capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition;
wherein the second area is larger than the first area.
2. The method of claim 1, wherein obtaining the single-cell user guaranteed rate per E-RAB traffic in the first area comprises:
determining each E-RAB flow value of each cell based on the service model information and the network load information of each cell in the first area in a preset period;
grouping all cells in the first area based on the E-RAB flow values to obtain a service proportion model of the cells in each group;
and determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
3. The method of claim 1, wherein the determining whether the cells in the second area need capacity expansion based on the determined single-cell user guaranteed rate and a preset condition comprises:
determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the network load related information of the cell in the network management data; or, determining that the cell meets the preset condition at this time based on the single-cell user guaranteed rate and the cell user uplink and downlink average rate in the network management data;
and determining that the number of times that the cell meets the preset condition reaches a preset value, and determining that the cell in the second area needs capacity expansion.
4. A flash device, the flash device comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the single-cell user guarantee rate under the E-RAB flow of each evolved wireless access bearer in a first area; the single cell user guaranteed rate under each E-RAB flow is obtained based on the single service guaranteed rates of different services;
a processing module, configured to group all cells in a second area based on service features of each cell in network management data corresponding to the second area, where the group corresponds to a cell group in the first area; determining the single-cell user guaranteed rate corresponding to each group in the first area corresponding to the group based on the group, and taking the single-cell user guaranteed rate as the single-cell user guaranteed rate corresponding to the cell in the second area; determining whether the cells in the second area need capacity expansion or not based on the determined single-cell user guaranteed rate and a preset condition;
wherein the second area is larger than the first area.
5. The apparatus of claim 4, wherein the obtaining module comprises:
a first determining unit, configured to determine, in a preset period, an E-RAB flow value of each cell based on service model information and network load information of each cell in the first area;
a second determining unit, configured to group all cells in the first area based on the per-E-RAB traffic values, and obtain a service proportion model of the cells in each group;
and the third determining unit is used for determining the single cell user guaranteed rate corresponding to each group based on the single service guaranteed rates of different services and the service proportion model corresponding to each group.
6. A capacity expansion device, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1-3 when running the computer program.
7. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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