CN111126789A - Cell intelligent capacity expansion method and device based on cell traffic - Google Patents
Cell intelligent capacity expansion method and device based on cell traffic Download PDFInfo
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Abstract
The embodiment of the invention provides a cell intelligent capacity expansion method and a device based on cell service volume, wherein the method comprises the following steps: acquiring the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard; when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type; detecting a common coverage cell of the cell, and acquiring a common coverage type of the cell and the common coverage cell; calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type by combining the capacity expansion type; and selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site. By adopting the method, the cell needing capacity expansion can be quickly determined and the cell capacity expansion operation can be carried out, so that the capacity of the high-load cell is improved, and the service time of a user under the high-load condition is reduced.
Description
Technical Field
The invention relates to the technical field of communication network optimization, in particular to a cell intelligent capacity expansion method and device based on cell traffic.
Background
With the rapid development of mobile services, more and more users can enjoy the convenience brought by the mobile internet at any time, anywhere and at any time, the mobile users grow rapidly, the mobile services are in the well-spraying type growth, and the network user density is gradually increased.
However, the current mobile wireless technologies all have capacity limitations, and when users are concentrated too much, the utilization rate of wireless resources is too high, which causes a rapid drop of user experience, so for "super busy cells" with too high utilization rate of wireless resources, how to provide an effective and rapid solution to improve user experience becomes an urgent problem to be solved in the current wireless network optimization.
Disclosure of Invention
To solve the problems in the prior art, embodiments of the present invention provide a method and an apparatus for cell intelligent capacity expansion based on cell traffic.
The embodiment of the invention provides a cell intelligent capacity expansion method based on cell traffic, which comprises the following steps:
acquiring the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard;
when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type;
detecting a common coverage cell of the cell, and acquiring a common coverage type of the cell and the common coverage cell;
calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type by combining the capacity expansion type;
and selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site.
In one embodiment, the method further comprises:
the basic information comprises RRU carrier wave capability, hardware conditions of a baseband board and hardware conditions of a main control board;
the calculating the capacity expansion mode of the cell according to the basic information and the common coverage type includes:
judging whether the RRU carrier capacity, the hardware condition of a baseband board and the hardware condition of a main control board meet the hardware requirement corresponding to the cell expansion or not, and acquiring the judgment result;
and calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
In one embodiment, the method further comprises:
when the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board do not meet the hardware requirement corresponding to the expansion capacity, acquiring the hardware which does not meet the hardware requirement;
and acquiring a preset hardware adjusting scheme corresponding to the hardware which does not meet the hardware requirement, and adjusting the hardware which does not meet the hardware requirement according to the hardware adjusting scheme.
In one embodiment, the method further comprises:
judging the type of the cell belongs to a macro station or an indoor station according to the basic information;
when the cell type is a macro station, acquiring a capacity expansion type corresponding to the macro station;
and when the cell type is an indoor station, acquiring a capacity expansion type corresponding to the indoor station.
In one embodiment, the method further comprises:
acquiring an automatic identification algorithm corresponding to the capacity expansion type of the cell;
acquiring a frequency band corresponding to the common coverage type and a cell frequency band in the basic information, and outputting a frequency band expansion scheme according to the frequency band corresponding to the common coverage type and the cell frequency band by combining the automatic identification algorithm;
and calculating the capacity expansion mode of the cell according to the basic information and the frequency band capacity expansion scheme.
In one embodiment, the method further comprises:
detecting the quantity of capacity expansion schemes in the capacity expansion station;
when the number of the capacity expansion schemes is larger than 1, acquiring data traffic information of a cell corresponding to the capacity expansion schemes, and comparing the traffic information;
and acquiring the cell with the maximum data traffic information in the cells corresponding to the capacity expansion scheme according to the comparison result, reserving the cell with the maximum data traffic information for capacity expansion, and ignoring other cells except the cell with the maximum data traffic information.
The embodiment of the invention provides a cell intelligent capacity expansion device based on cell traffic, which comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the traffic information of a cell and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard;
an obtaining module, configured to determine a cell type of the cell when the cell is a high-load cell, and determine a corresponding capacity expansion type according to the cell type;
a detecting module, configured to detect a co-coverage cell of the cell, and obtain a co-coverage type of the cell and the co-coverage cell;
a calculation module, configured to calculate, in combination with the capacity expansion type, a capacity expansion manner of the cell according to the basic information of the cell and the common coverage type;
and the output module is used for selecting a corresponding capacity expansion scheme according to the capacity expansion mode and outputting the capacity expansion scheme to a capacity expansion site.
In one embodiment, the apparatus further comprises:
a basic information storage module, configured to store the basic information, where the basic information includes RRU carrier capability, hardware conditions of a baseband board, and hardware conditions of a main control board;
the judging module is used for judging whether the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board meet the hardware requirement corresponding to the cell expansion or not and acquiring the judging result;
and the second calculation module is used for calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
The embodiment of the invention provides electronic equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the cell intelligent capacity expansion method based on the cell service volume.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above method for cell intelligent capacity expansion based on cell traffic.
The embodiment of the invention provides a method and a device for intelligently expanding a cell based on cell traffic, and provides a method for automatically optimizing a high-load cell, which can quickly locate the high-load cell according to the cell traffic, quickly implement cell expansion operation according to the current network resource of the cell, namely the condition of hardware, and a preset expansion strategy, thereby realizing the capacity improvement of the high-load cell and reducing the service time of a user under the high-load condition.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of a cell intelligent capacity expansion method based on cell traffic in an embodiment of the present invention;
fig. 2 is a structural diagram of a cell intelligent capacity expansion device based on cell traffic in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flowchart of a method for intelligently expanding a cell based on cell traffic according to an embodiment of the present invention, where as shown in fig. 1, an embodiment of the present invention provides a method for intelligently expanding a cell based on cell traffic, including:
step S101, collecting the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard;
specifically, the traffic information of the cell may include classification criteria (large packet cell, medium packet cell, small packet cell) of the cell, RRC number with data transmission, utilization rate, and the like, and the preset high load evaluation criterion may be a criterion preset according to a user requirement, such as a criterion in table 1:
TABLE 1
When the traffic information of the cell reaches the preset evaluation standard of each item of data in table 1, the cell is determined as a high-load cell, and carrier scheduling, i.e., capacity expansion operation, is required.
Step S102, when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type;
specifically, when the cell is a high-load cell, the type of the cell is determined, that is, whether the cell is a macro station or an indoor station is determined, when the cell type is the macro station, the corresponding capacity expansion type of the macro station is determined according to the cell type, and when the cell type is the indoor station, the corresponding capacity expansion type of the indoor station is determined according to the cell type.
Step S103, detecting the common coverage cell of the cell, and acquiring the common coverage type of the cell and the common coverage cell.
Specifically, the method for detecting the common coverage cell of the cell may be an inter-frequency common coverage algorithm: the adjacent cells with the deviation of 10 degrees left and right of the direction angle within 50 meters of the cell are defined as common coverage cells, and the coverage frequency band of the common coverage area between the cell and the common coverage cells, such as the F frequency band or the D frequency band, is obtained, i.e. the common coverage type.
And step S104, combining the capacity expansion type, and calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type.
Specifically, the basic information of the cell may include a type of the cell, hardware information of the cell, software information of the cell, address information of the cell, and the like, and in combination with a macro station capacity expansion type or an indoor station capacity expansion type, a capacity expansion manner of the cell is calculated according to the basic information of the cell (hardware information in the basic information) and a capacity expansion algorithm corresponding to a coverage frequency band of a common coverage area between the cell and the common coverage area, where the basic information of the cell may determine that the capacity expansion of the cell is soft expansion or hard expansion, when the hardware information meets a capacity expansion requirement, the capacity expansion of the cell may be soft expansion, that is, the capacity expansion is performed by hardware of the cell, when the capacity expansion of the cell does not meet the capacity expansion requirement, the capacity expansion may be hard expansion, new hardware needs to be added for capacity expansion, after the soft expansion or hard expansion is determined according to the basic information of the cell, the common coverage type and the algorithm corresponding to the common coverage type are combined, and calculating the capacity expansion mode corresponding to the cell.
And step S105, selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site.
Specifically, the capacity expansion scheme corresponding to the capacity expansion mode calculated in the above step is selected, and the capacity expansion scheme of the cell may include not only the capacity expansion mode obtained through calculation, but also basic information of capacity expansion, such as a capacity expansion site EnodeB, a capacity expansion site longitude, a capacity expansion site latitude, an area code, a capacity expansion frequency point, a capacity expansion cell bandwidth, and the like, which may be calculated by obtaining information corresponding to the cell. And after the capacity expansion scheme is obtained, sending the capacity expansion scheme to a capacity expansion site, and waiting for capacity expansion of the cells, wherein the capacity expansion site is a system for summarizing the capacity expansion scheme and expanding the capacity of the cells, and is used for receiving the capacity expansion scheme of each cell and expanding the capacity of the corresponding cell.
The embodiment of the invention provides a cell intelligent capacity expansion method based on cell traffic, and provides a method for automatically optimizing a high-load cell, which can quickly locate the high-load cell according to the cell traffic, quickly implement cell capacity expansion operation according to the current network resource of the cell, namely the condition of hardware, and a preset capacity expansion strategy, thereby realizing the capacity improvement of the high-load cell and reducing the service time of a user under the high-load condition.
On the basis of the foregoing embodiment, the method for intelligently expanding a cell based on cell traffic further includes:
the basic information comprises RRU carrier wave capability, hardware conditions of a baseband board and hardware conditions of a main control board;
the calculating the capacity expansion mode of the cell according to the basic information and the common coverage type includes:
judging whether the RRU carrier capacity, the hardware condition of a baseband board and the hardware condition of a main control board meet the hardware requirement corresponding to the cell expansion or not, and acquiring the judgment result;
and calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
In the embodiment of the present invention, the basic information of the cell may include hardware information of the cell, the hardware information may include RRU carrier capability, hardware condition of the baseband board, and hardware condition of the main control board, after the three items of hardware information are obtained, whether the three items of hardware information meet the corresponding capacity expansion requirements or not is respectively judged, a judgment result corresponding to whether the three items of hardware information meet the corresponding capacity expansion requirements or not is obtained, the capacity expansion mode of the cell is calculated according to the judgment result and the type of the common coverage cell, wherein, when the three items of hardware information all meet the corresponding capacity expansion requirements, the judgment result is soft expansion, calculating the capacity expansion mode of the cell according to the capacity expansion flow corresponding to the soft expansion and the type of the common coverage cell, when one or more hardware information does not meet the corresponding capacity expansion requirement, the judgment result is hard expansion, and calculating the capacity expansion mode of the cell according to the capacity expansion flow corresponding to the hard expansion and the type of the common coverage cell.
In addition, the above soft expansion and hard expansion are different in that the soft expansion is expanded by hardware of a cell, and the hard expansion is expanded by adding new hardware.
In addition, when the RRU carrier capability, the hardware condition of the baseband board, and the hardware condition of the main control board do not satisfy the hardware requirement corresponding to the capacity expansion, the hardware that does not satisfy the hardware requirement of the capacity expansion is obtained, and a corresponding hardware adjustment scheme is obtained, where the adjustment scheme may be: if the RRU carrier capacity does not meet the requirements, outputting an RRU adjustment scheme according to a new addition and replacement algorithm provided by each manufacturer, and determining the types and the number of the recommended RRUs for capacity expansion; if the hardware condition of the baseband board does not meet the requirement, outputting a baseband board adjusting scheme according to a new addition and replacement algorithm provided by each manufacturer, and determining the type and the number of the recommended expanded baseband boards; if the hardware condition of the main control board does not meet the requirement, outputting the main control board adjusting scheme according to the addition and replacement algorithm provided by each manufacturer. And adjusting the hardware which does not meet the hardware requirement according to the adjustment scheme, so that the cell can meet the capacity expansion requirement.
The embodiment of the invention judges whether the hardware condition of the cell meets the capacity expansion requirement, and different judgment results correspond to different capacity expansion modes: and soft expansion or hard expansion, and automatically calculating the expansion mode of the cell according to the judgment result of the soft expansion or hard expansion and the common coverage type.
On the basis of the foregoing embodiment, the method for intelligently expanding a cell based on cell traffic further includes:
judging the type of the cell belongs to a macro station or an indoor station according to the basic information;
when the cell type is a macro station, acquiring a capacity expansion type corresponding to the macro station;
and when the cell type is an indoor station, acquiring a capacity expansion type corresponding to the indoor station.
In the embodiment of the present invention, it may be determined whether the cell belongs to a macro station or an indoor station distributed indoors according to the basic information of the cell, and when the cell is the macro station, it is determined that the capacity expansion type of the cell is the macro station type, and when the cell is the indoor station, it is determined that the capacity expansion type of the cell is the indoor station type (indoor substation).
After the capacity expansion type of the cell is determined, obtaining an automatic identification algorithm corresponding to the capacity expansion type of the cell, namely when the capacity expansion type of the cell is a macro station type, the corresponding automatic identification algorithm is the automatic identification algorithm of a macro station, when the capacity expansion type of the cell is an indoor station type, the corresponding automatic identification algorithm is the automatic identification algorithm of an indoor station, the input condition of the automatic identification algorithm is a frequency band and a cell frequency band corresponding to a common coverage type, and the output result is a corresponding frequency band capacity expansion scheme, namely a frequency band capacity expansion scheme is output by combining the frequency band and the cell frequency band corresponding to the common coverage type with the automatic identification algorithm, wherein the specific algorithm is as follows:
an automatic identification algorithm (F frequency band) for a macro station expansion frequency point scene:
an automatic identification algorithm (D frequency band) for a macro station expansion frequency point scene:
an automatic identification algorithm for the expansion frequency point scene of the indoor substation is as follows:
after obtaining the corresponding output result and remark according to the algorithm, obtaining a frequency band expansion scheme, and combining the judgment result of the hardware information to obtain the expansion of the cell.
The embodiment of the invention obtains the frequency band capacity expansion scheme of the cell by judging the capacity expansion type of the cell and the common coverage type of the cell, and obtains the capacity expansion mode of the cell according to the frequency band capacity expansion scheme and the soft expansion/hard expansion scheme of the cell.
On the basis of the foregoing embodiment, the method for intelligently expanding a cell based on cell traffic further includes:
detecting the quantity of capacity expansion schemes in the capacity expansion station;
when the number of the capacity expansion schemes is larger than 1, acquiring data traffic information of a cell corresponding to the capacity expansion schemes, and comparing the traffic information;
and acquiring the cell with the maximum data traffic information in the cells corresponding to the capacity expansion scheme according to the comparison result, reserving the cell with the maximum data traffic information for capacity expansion, and ignoring other cells except the cell with the maximum data traffic information.
In the embodiment of the present invention, after the capacity expansion scheme is output to the capacity expansion site, the number of the capacity expansion schemes in the capacity expansion site is detected, that is, the capacity expansion site enodebs are summarized, if the number of the capacity expansion cells > is 2, data traffic information of the cells corresponding to the capacity expansion scheme is obtained, and the traffic information is compared, that is, data sorting of "data traffic when the capacity expansion cells are busy for seven days" in the high load cell list is performed, and only the capacity expansion cell and the scheme thereof with the maximum "data traffic when the capacity expansion cells are busy for seven days" are reserved, that is, only one capacity expansion cell is reserved under each capacity expansion site EnodeB for capacity expansion, and all other capacity expansion cells falling on the capacity expansion site are ignored, and a next round of optimization is waited.
The embodiment of the invention selects the cell with the highest load from the capacity expansion sites to perform capacity expansion, thereby ensuring that the cell with the largest influence on users can be optimized at the earliest.
In another embodiment, after the capacity expansion scheme is generated, the expansion scheme is automatically dispatched to local city branch companies, the local city branch companies process the capacity expansion scheme, the auxiliary material information and the number of the links are supplemented, the supplementary data are submitted to a user for the user to check, the soft and hard expansion scheme is pushed to a PLM platform after the check is passed, a newly built station is pushed to a centralized planning audit check process, the feedback is carried out after the capacity expansion is completed, the feedback result is received and then the process is filed, and the process is ended. The specific flow of the whole carrier scheduling is divided into four parts, namely data acquisition, algorithm strategy, scheme output and management flow.
Fig. 2 is a diagram of an intelligent cell capacity expansion device based on cell traffic according to an embodiment of the present invention, including: the device comprises an acquisition module 201, an acquisition module 202, a detection module 203, a calculation module 204 and an output module 205, wherein:
the acquisition module 201 is configured to acquire traffic information of a cell, and determine whether the cell is a high-load cell according to the traffic information and a preset high-load evaluation standard.
An obtaining module 202, configured to determine a cell type of a cell when the cell is a high-load cell, and determine a corresponding capacity expansion type according to the cell type.
The detecting module 203 is configured to detect a co-coverage cell of the cell, and acquire a co-coverage type of the cell and the co-coverage cell.
The calculation module 204 is configured to calculate, in combination with the capacity expansion type, a capacity expansion manner of the cell according to the basic information of the cell and the common coverage type.
The output module 205 is configured to select a corresponding capacity expansion scheme according to the capacity expansion manner, and output the capacity expansion scheme to the capacity expansion site.
In one embodiment, the apparatus may further comprise:
and the basic information storage module is used for storing basic information, and the basic information comprises RRU carrier wave capability, hardware conditions of the baseband board and hardware conditions of the main control board.
And the judging module is used for judging whether the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board meet the hardware requirement corresponding to the cell expansion or not and acquiring a judging result.
And the second calculation module is used for calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
In one embodiment, the apparatus may further comprise:
and the second acquisition module is used for acquiring hardware which does not meet the hardware requirement when the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board do not meet the hardware requirement corresponding to the expansion.
And the third acquisition module is used for acquiring a preset hardware adjustment scheme corresponding to the hardware which does not meet the hardware requirement, and adjusting the hardware which does not meet the hardware requirement according to the hardware adjustment scheme.
In one embodiment, the apparatus may further comprise:
the second judging module is used for judging whether the type of the cell belongs to a macro station or an indoor station according to the basic information; when the cell type is a macro station, acquiring a capacity expansion type corresponding to the macro station; and when the cell type is an indoor station, acquiring the capacity expansion type corresponding to the indoor station.
In one embodiment, the apparatus may further comprise:
and the fourth acquisition module is used for acquiring the automatic identification algorithm corresponding to the capacity expansion type of the cell.
And the fifth acquisition module is used for acquiring the frequency band corresponding to the common coverage type and the cell frequency band in the basic information, and outputting a frequency band expansion scheme according to the frequency band corresponding to the common coverage type and the cell frequency band by combining the automatic identification algorithm.
And the third calculation module is used for calculating the capacity expansion mode of the cell according to the basic information and the frequency band capacity expansion scheme.
In one embodiment, the apparatus may further comprise:
and the second detection module is used for detecting the quantity of the capacity expansion schemes in the capacity expansion station.
And the sixth obtaining module is configured to obtain data traffic information of the cell corresponding to the capacity expansion scheme when the number of the capacity expansion schemes is greater than 1, and compare the data traffic information with the traffic information.
And a seventh obtaining module, configured to obtain, according to the comparison result, a cell with the largest data traffic information in the cells corresponding to the capacity expansion scheme, reserve the cell with the largest data traffic information for capacity expansion, and ignore other cells except the cell with the largest data traffic information.
For specific limitation of the cell intelligent capacity expansion device based on the cell traffic volume, reference may be made to the above limitation of the cell intelligent capacity expansion method based on the cell traffic volume, and details are not described herein again. The modules in the cell intelligent capacity expansion device based on cell traffic can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: acquiring the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard; when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type; detecting a common coverage cell of the cell, and acquiring a common coverage type of the cell and the common coverage cell; calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type by combining the capacity expansion type; and selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard; when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type; detecting a common coverage cell of the cell, and acquiring a common coverage type of the cell and the common coverage cell; calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type by combining the capacity expansion type; and selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A cell intelligent capacity expansion method based on cell traffic is characterized by comprising the following steps:
acquiring the traffic information of a cell, and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard;
when the cell is a high-load cell, determining the cell type of the cell, and determining a corresponding capacity expansion type according to the cell type;
detecting a common coverage cell of the cell, and acquiring a common coverage type of the cell and the common coverage cell;
calculating the capacity expansion mode of the cell according to the basic information of the cell and the common coverage type by combining the capacity expansion type;
and selecting a corresponding capacity expansion scheme according to the capacity expansion mode, and outputting the capacity expansion scheme to a capacity expansion site.
2. The method of claim 1, wherein the method further comprises:
the basic information comprises RRU carrier wave capability, hardware conditions of a baseband board and hardware conditions of a main control board;
the calculating the capacity expansion mode of the cell according to the basic information and the common coverage type includes:
judging whether the RRU carrier capacity, the hardware condition of a baseband board and the hardware condition of a main control board meet the hardware requirement corresponding to the cell expansion or not, and acquiring the judgment result;
and calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
3. The method of claim 2, wherein the method further comprises:
when the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board do not meet the hardware requirement corresponding to the expansion capacity, acquiring the hardware which does not meet the hardware requirement;
and acquiring a preset hardware adjusting scheme corresponding to the hardware which does not meet the hardware requirement, and adjusting the hardware which does not meet the hardware requirement according to the hardware adjusting scheme.
4. The method of claim 1, wherein the determining a cell type of the cell according to the basic information and determining a corresponding capacity expansion type according to the cell type comprises:
judging the type of the cell belongs to a macro station or an indoor station according to the basic information;
when the cell type is a macro station, acquiring a capacity expansion type corresponding to the macro station;
and when the cell type is an indoor station, acquiring a capacity expansion type corresponding to the indoor station.
5. The method according to claim 4, wherein the calculating a capacity expansion manner of the cell according to the basic information and the common coverage type in combination with the capacity expansion type includes:
acquiring an automatic identification algorithm corresponding to the capacity expansion type of the cell;
acquiring a frequency band corresponding to the common coverage type and a cell frequency band in the basic information, and outputting a frequency band expansion scheme according to the frequency band corresponding to the common coverage type and the cell frequency band by combining the automatic identification algorithm;
and calculating the capacity expansion mode of the cell according to the basic information and the frequency band capacity expansion scheme.
6. The method of claim 1, wherein the method further comprises:
detecting the quantity of capacity expansion schemes in the capacity expansion station;
when the number of the capacity expansion schemes is larger than 1, acquiring data traffic information of a cell corresponding to the capacity expansion schemes, and comparing the traffic information;
and acquiring the cell with the maximum data traffic information in the cells corresponding to the capacity expansion scheme according to the comparison result, reserving the cell with the maximum data traffic information for capacity expansion, and ignoring other cells except the cell with the maximum data traffic information.
7. A cell intelligent capacity expansion device based on cell traffic is characterized by comprising
The system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the traffic information of a cell and judging whether the cell is a high-load cell or not by combining the traffic information with a preset high-load evaluation standard;
an obtaining module, configured to determine a cell type of the cell when the cell is a high-load cell, and determine a corresponding capacity expansion type according to the cell type;
a detecting module, configured to detect a co-coverage cell of the cell, and obtain a co-coverage type of the cell and the co-coverage cell;
a calculation module, configured to calculate, in combination with the capacity expansion type, a capacity expansion manner of the cell according to the basic information of the cell and the common coverage type;
and the output module is used for selecting a corresponding capacity expansion scheme according to the capacity expansion mode and outputting the capacity expansion scheme to a capacity expansion site.
8. The cell traffic-based cell intelligent capacity expansion apparatus according to claim 7, wherein the apparatus further comprises:
a basic information storage module, configured to store the basic information, where the basic information includes RRU carrier capability, hardware conditions of a baseband board, and hardware conditions of a main control board;
the judging module is used for judging whether the RRU carrier capacity, the hardware condition of the baseband board and the hardware condition of the main control board meet the hardware requirement corresponding to the cell expansion or not and acquiring the judging result;
and the second calculation module is used for calculating the capacity expansion mode of the cell according to the judgment result and the common coverage type.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for cell traffic based intelligent capacity expansion of a cell according to any one of claims 1 to 6.
10. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when being executed by a processor, implements the steps of the method for cell intelligent capacity expansion based on cell traffic according to any one of claims 1 to 6.
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