CN115623503A - Multi-layer network efficiency analysis processing method, device and equipment - Google Patents
Multi-layer network efficiency analysis processing method, device and equipment Download PDFInfo
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- CN115623503A CN115623503A CN202110797386.3A CN202110797386A CN115623503A CN 115623503 A CN115623503 A CN 115623503A CN 202110797386 A CN202110797386 A CN 202110797386A CN 115623503 A CN115623503 A CN 115623503A
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Abstract
The invention discloses a method, a device and equipment for analyzing and processing the efficiency of a multilayer network, wherein the method comprises the following steps: acquiring traffic data of a sector in a multi-layer network, wherein the sector comprises at least two cells; obtaining an efficiency analysis result of the sector according to the traffic data of the sector; and determining a capacity problem solution of the sector according to the performance analysis result of the sector. Through the mode, the invention realizes the comprehensive analysis of the increase and decrease of the energy efficiency resources of the sector according to the service load and the theoretical bearing capacity of the sector, the uniform management of the arrangement and scheduling of the energy efficiency resources, and the joint of the energy efficiency resources and each capacity production system, so that the automatic implementation of the energy efficiency scheduling process is realized; the perception that the user uses the mobile service is improved, and meanwhile, the investment cost of network construction is saved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method, a device and equipment for analyzing and processing the efficiency of a multi-layer network.
Background
In the existing method for analyzing the capacity problem of an LTE (Long Term Evolution) cell in a network, the traffic condition of the whole sector is not considered comprehensively from the capacity problem of a single cell. Therefore, when the capacity problem of the existing network cell is solved, new problems may occur in other cells in the same sector, or the resources are redundant, and the network carrier resources cannot be fully utilized.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a method, an apparatus, and a device for analyzing and processing performance of a multi-layer network, which overcome the above problems or at least partially solve the above problems.
According to an aspect of an embodiment of the present invention, there is provided a multi-layer mesh performance analysis processing method, including:
acquiring traffic data of a sector in a multi-layer network, wherein the sector comprises at least two cells;
obtaining an efficiency analysis result of the sector according to the traffic data of the sector;
and determining a capacity problem solution of the sector according to the performance analysis result of the sector.
According to another aspect of the embodiments of the present invention, there is provided a multi-layer mesh performance analysis processing apparatus including:
a first obtaining module, configured to obtain traffic data of a sector in a multi-layer network, where the sector includes at least two cells;
the second acquisition module is used for acquiring the efficiency analysis result of the sector according to the telephone traffic data of the sector;
and the processing module is used for determining a capacity problem solution of the sector according to the performance analysis result of the sector.
According to still another aspect of an embodiment of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the multi-layer network performance analysis processing method.
According to another aspect of the embodiments of the present invention, a computer storage medium is provided, where at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the multi-layer network performance analysis processing method.
According to the scheme provided by the embodiment of the invention, the traffic data of the sector in the multi-layer network is acquired, wherein the sector comprises at least two cells; obtaining an efficiency analysis result of the sector according to the traffic data of the sector; determining a capacity problem solution of the sector according to the performance analysis result of the sector, thereby solving the problem that the traffic of the whole sector is not comprehensively considered in the existing network capacity problem analysis, and avoiding the occurrence of redundancy of resources and the failure of full utilization of network carrier resources; uniformly coordinating all the capacity production systems, realizing the increase and decrease allocation of energy efficiency resources and the arrangement and scheduling of the energy efficiency resources, and preventing the operation conflicts of all the production systems; the method and the device have the advantages of improving the perception of the user using the mobile service and saving the investment cost of network construction.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the embodiments of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a multi-layer network performance analysis processing method according to an embodiment of the present invention;
FIG. 2 shows a schematic flow diagram of specific example 1 provided by an embodiment of the present invention;
FIG. 3 illustrates a flow diagram for determining a portrait label provided by an embodiment of the present invention;
FIG. 4 shows a flow chart of performance analysis in specific example 2 provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a multi-layer mesh performance analysis processing apparatus according to an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 is a flowchart illustrating a multi-layer network performance analysis processing method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
and step 13, determining a capacity problem solution of the sector according to the performance analysis result of the sector.
In the embodiment, the sector in the multi-layer network is subjected to efficiency analysis, and a solution to the sector capacity problem is obtained according to the efficiency analysis result corresponding to the sector; the problem that the capacity of a single cell is only considered in the existing network capacity problem without carrying out integral analysis and research on the capacity of a sector is solved, and the problems of redundancy of resources and incapability of fully utilizing network carrier resources can be avoided; the capacity production systems can be uniformly coordinated, the increase and decrease allocation of energy efficiency resources and the arrangement and scheduling of the energy efficiency resources are uniformly managed, and the operation conflict of the production systems is prevented; the perception that the user uses the mobile service is improved, and meanwhile, the investment cost of network construction is saved.
In an alternative embodiment of the present invention, step 12 may include:
and step 121, obtaining an efficiency analysis result of the sector according to the traffic data of the sector and a preset bearing threshold.
In this embodiment, the performance analysis result of the sector is obtained by performing performance analysis on the traffic data of the sector, and the performance analysis result may be marked with a primary label.
Specifically, step 121 includes:
step 1211, if the telephone traffic data in the sector within a first preset time period is lower than a loading threshold corresponding to at least one level of target networking structure in each level of target networking structure in the sector, obtaining a first performance analysis result for removing a cell in the sector, where the sector includes multiple levels of target networking structures, and each level of networking structure corresponds to a loading threshold;
step 1212, if the traffic data in the first preset time period of the sector is lower than a bearer threshold corresponding to any one level of target networking structure in each level of target networking structure in the sector, obtaining a second performance analysis result of scheduling the cell in the sector;
step 1213, if the telephone traffic data in at least two consecutive second preset time periods of the sector is lower than the loading threshold corresponding to any one level of target networking structure in each level of target networking structure in the sector, obtaining a third performance analysis result for closing the cell in the sector; the duration of the second preset time period is less than the duration of the first preset time period;
otherwise, a fourth performance analysis result of the reserved sector is obtained, step 1214.
In this embodiment, the step-by-step judgment is performed based on traffic data of a multi-layer network sector, target networking structures at all levels in the sector, and a carrying threshold corresponding to the target networking structures at all levels in the sector, wherein the sector includes the multi-level target networking structures, and each level of the networking structures corresponds to one carrying threshold; and comparing and judging the acquired telephone traffic data and the bearing thresholds corresponding to the target networking structures of all levels in the sector step by step within a preset time period to respectively obtain a first efficiency analysis result, a second efficiency analysis result, a third efficiency analysis result and a fourth efficiency analysis result of the sector.
Fig. 2 shows a schematic diagram of specific example 1 provided by an embodiment of the present invention. As shown in fig. 2, in a specific embodiment 1, a cell with a frequency band E is denoted as cell E, a cell with a frequency band 3DMIMO is denoted as cell 3DMIMO, a cell with a frequency band FDD1800 is denoted as cell FDD1800, a cell with a frequency band D is denoted as cell D, a cell with a frequency band a is denoted as cell a, and a cell with a frequency band F2 is denoted as cell F2, a multilayer network sector is composed of cell E, cell 3DMIMO, cell FDD1800, cell D, cell a, and cell F2, and based on traffic data of the multilayer network sector, a peak value of actual traffic flow and a number of RRC online users in the traffic data are compared with a bearer threshold, and performance analysis results obtained by comparison are respectively removable, shut-down, adjustable, and retainable, and removable cells in the multilayer network sector are cell F2, cell a, and cell D; scheduling the schedulable cells in the multilayer sectors according to daily dynamic by using software lic and configuring the schedulable cells according to requirements; the cells which can be turned off in the multilayer sector are a cell F2, a cell A and a cell D, and the turn-off time is small-level turn-off; the structure of the sector capable of reserving the cell in the multilayer sector is kept unchanged;
specifically, obtaining a bearer threshold corresponding to each level of networking structure includes: the method comprises the steps of taking a sector as a unit, obtaining an average value of traffic data of each level of networking structure in the sector, namely an average value of the number of RRC online users of each level of networking structure, an average value of a peak value of actual service flow of each level of networking structure and an average value of equivalent utilization rate of each level of networking structure, wherein in the sector, obtaining a networking structure with the largest average value of the number of RRC online users of each level of networking structure, recording the number of the RRC online users in a very busy day of the sector, and recording the average value of the traffic data of the level of networking structure; in a sector, acquiring a networking structure with the maximum average value of the peak values of the actual service flow of each level of networking structure, recording the peak value of the actual service flow in a busy day of the sector, and recording the average value of the traffic data in the target networking structure; and respectively carrying out arithmetic average calculation on the average value of the traffic data of the target networking structure of the number of the RRC online users when the sector is extremely busy and the average value of the traffic data of the target networking structure of the peak value of the actual traffic flow when the sector is extremely busy to obtain a bearing threshold.
It should be noted that the traffic data includes at least one of the number of RRC online users controlled by radio resources, a peak value of actual traffic flow, and an equivalent utilization rate, where the number of RRC online users in a sector is a sum of the number of RRC online users in each cell in the sector, the peak value of actual traffic flow in the sector is a sum of peak values of actual traffic flow in each cell in the sector, and the equivalent utilization rate is a result calculated by using an equivalent carrier in the sector.
FIG. 3 illustrates a flow diagram for determining a portrait label provided by an embodiment of the present invention. As shown in fig. 3, in an alternative embodiment of the present invention, step 13 includes:
step 131, determining a solution to the capacity problem of the sector according to at least one of the first performance analysis result, the second performance analysis result, the third performance analysis result, and the fourth performance analysis result; or
Step 131, determining an image label of the sector according to the first performance analysis result, the second performance analysis result, the third performance analysis result, the fourth performance analysis result and at least one scene label; determining a capacity problem solution for the sector based on the portrait label.
In this embodiment, an efficiency analysis label is obtained by comparing the loading thresholds in the process of sector efficiency analysis, the efficiency analysis label of the efficiency analysis result preferably includes a removable cell, a closeable cell, a schedulable cell and a reservable cell, and preferably also includes an extensible cell, the scenario label preferably includes at least one of high load, important scenario identification and user perception analysis, and on the basis of at least one of the first efficiency analysis result, the second efficiency analysis result, the third efficiency analysis result and the fourth efficiency analysis result obtained in step 12, the existing tool implementation scheme at the provincial end is invoked, and the capacity problem solution of the sector can be determined; or, on the basis of obtaining at least one of the first performance analysis result, the second performance analysis result, the third performance analysis result, and the fourth performance analysis result in step 12, the embodiment of the provincial end existing tool is invoked in combination with at least one scene tag, and the solution of the capacity problem of the sector can be determined; it should be noted that the existing tools at the provincial end include at least one of load balancing, carrier scheduling, idle removal and busy replenishment, 5G shunting, sensing optimization and planning construction; the sector label composed of the performance analysis label and the scene label can generate at least 40 sector portrait labels, and the corresponding solution can be obtained by calling the existing tool implementation scheme of provincial terminals.
In an optional embodiment of the present invention, the sectors in the multi-layer network satisfy at least one of the following conditions:
the azimuth deviation of each cell is less than or equal to a preset value;
no FDD900 cell;
including at least one of the F2, A, D frequency bands.
In this embodiment, the cells in the sectors in the multi-layer network need to include at least one of the frequency bands F2, a, and D, and do not include the FDD900 cell, and the azimuth deviation of each cell is less than or equal to a preset value, in a specific embodiment, the sectors of F + F2+ FDD1800 satisfy the above conditions, and performance analysis can be performed, and due to the particularity of the covering layer, the sectors of F + FDD900, F + FDD1800, and F + FDD900 do not perform performance analysis.
In a specific embodiment 2, the bearing threshold of each target networking structure of the multi-layer network sector is as follows: based on 5M perception baseline analysis, wherein the perception rate of 90% of sampling points exceeds 5Mbps, the bearing threshold of each target networking structure is obtained, as shown in Table 1:
| frequency band of cell | Average number of RRC online users | Peak value (GB) of average actual traffic flow |
| E | 120 | 13.5 |
| 3DMIMO | 126 | 12 |
| FDD1800 | 64 | 6 |
| D | 60 | 6.1 |
| A | 33 | 3.9 |
| F1 | 36 | 3.7 |
| F2 | 14 | 1.1 |
TABLE 1
Setting cell tear-down priority to F2> A > D (D2 > D1> D8> D7> D3)
Determining a possible target networking structure and a bearing threshold of each sector: taking F1+ a + F2+ D + FDD1800 as an example, there are three levels of target networking after F2/a/D is removed, corresponding to different loading thresholds, as shown in table 2:
TABLE 2
Fig. 4 shows a flow chart of performance analysis in embodiment 2 provided by an embodiment of the present invention. As shown in fig. 4, the process includes:
step 41, obtaining the traffic data of the multi-layer network sector;
step 42, comparing the number of the wireless resource control RRC online users in the sector and the peak value of the actual service flow with the bearing threshold of each level of the target networking structure;
step 43, judging whether the number of the online users of the RRC in the sector and the peak value of the actual service flow are both lower than the loading threshold corresponding to at least one level of the target networking structure in each level of the target networking structure; the bearing threshold of at least one level of target networking structure is at least one of a first level threshold, a second level threshold \8230, and an Nth level threshold;
step 44, comparing the daily online user number of the RRC in the sector and the peak value of the actual service flow with the bearing threshold of any level networking structure;
step 45, judging whether the sector has the RRC online user number exceeding 8 days and whether the peak value of the actual service flow is lower than the bearing threshold of any level of networking structure;
step 451, if the peak value of the number of the RRC online users and the actual service flow of the sector exceeds 8 days and is lower than a bearing threshold, dynamically scheduling the cells with the frequency band of F2 or A or D through software lic;
step 46, acquiring the highest day of the peak value of the actual service flow in the target networking structure within 30 days, and comparing the hourly traffic data from 7 to 22 points with the bearing threshold of any level of target networking structure;
step 47, judging whether the peak value of the actual service flow is lower than the bearing threshold of any level of networking structure in the time period from 7 to 22 points of the day with the highest flow peak value;
and 48, the remaining cells are the reserved cells, namely the original sector structure is kept unchanged.
The scheme of the invention obtains the telephone traffic data of a sector in a multi-layer network, wherein the sector comprises at least two cells; obtaining an efficiency analysis result of the sector according to the traffic data of the sector; determining a capacity problem solution of the sector according to the performance analysis result of the sector; therefore, the problem that the traffic of the whole sector is not comprehensively considered in the analysis of the existing network capacity problem is solved, and the problems that the resource redundancy occurs and the network carrier resource cannot be fully utilized are solved; uniformly coordinating all the capacity production systems, realizing the increase and decrease allocation of energy efficiency resources and the arrangement and scheduling of the energy efficiency resources, and preventing the operation conflicts of all the production systems; the method and the device have the advantages that the mobile service perception of the user is improved, and meanwhile, the network construction investment cost is saved.
Fig. 5 is a schematic structural diagram of a multi-layer mesh performance analysis processing apparatus 50 according to an embodiment of the present invention. As shown in fig. 5, the apparatus 50 includes:
a first obtaining module 51, configured to obtain traffic data of a sector in a multi-layer network, where the sector includes at least two cells;
a second obtaining module 52, configured to obtain a performance analysis result of the sector according to the traffic data of the sector;
and the processing module 53 is configured to determine a solution to the capacity problem of the sector according to the performance analysis result of the sector.
Optionally, the traffic data includes at least one of:
the number of RRC online users is controlled by radio resources;
the peak value of the actual traffic flow;
equivalent utilization rate.
Optionally, obtaining an efficiency analysis result of the sector according to the traffic data of the sector, including: and obtaining an efficiency analysis result of the sector according to the traffic data of the sector and a preset bearing threshold.
Optionally, obtaining an efficiency analysis result of the sector according to the traffic data of the sector and a preset bearer threshold includes:
if the telephone traffic data in the first preset time period of the sector is lower than a bearing threshold corresponding to at least one stage of target networking structure in each stage of target networking structure in the sector, obtaining a first efficiency analysis result for removing a cell in the sector, wherein the sector comprises the multi-stage target networking structure, and each stage of networking structure corresponds to one bearing threshold;
if the telephone traffic data in the first preset time period of the sector is lower than the bearing threshold corresponding to any level of target networking structure in all levels of target networking structures in the sector, obtaining a second efficiency analysis result of dispatching the cell in the sector;
if the telephone traffic data in at least two continuous second preset time periods of the sector is lower than a bearing threshold corresponding to any level of target networking structure in all levels of target networking structures in the sector, obtaining a third performance analysis result for closing the cell in the sector; the duration of the second preset time period is less than the duration of the first preset time period;
otherwise, a fourth performance analysis result of the reserved sector is obtained.
Optionally, determining a solution to the capacity problem of the sector according to the performance analysis result of the sector includes:
determining a capacity problem solution of the sector according to at least one of the first, second, third and fourth performance analysis results; or alternatively
Determining the portrait label of the sector according to the first, second, third and fourth performance analysis results and at least one scene label; determining a capacity problem solution for the sector based on the portrait label.
Optionally, the scene tag includes: at least one of a high-load scene tag, an important scene identification tag, and a user perception analysis tag.
Optionally, the sectors in the multi-layer network satisfy at least one of the following conditions:
the deviation of the azimuth angle of each cell is less than or equal to a preset value;
no FDD900 cell;
including at least one of the F2, A, D frequency bands.
It should be noted that the apparatus is an apparatus corresponding to the multi-layer network performance analysis processing method, and all implementation manners in the method embodiments are applicable to the embodiment of the apparatus, and the same technical effect can be achieved.
An embodiment of the present invention provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the method for analyzing and processing performance of a multi-layer network in any of the method embodiments described above.
Fig. 6 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor (processor), a Communications Interface (Communications Interface), a memory (memory), and a Communications bus.
Wherein: the processor, the communication interface, and the memory communicate with each other via a communication bus. A communication interface for communicating with network elements of other devices, such as clients or other servers. The processor is used for executing the program, and particularly can execute the relevant steps in the multi-layer network performance analysis processing method embodiment for the computing device.
In particular, the program may include program code comprising computer operating instructions.
The processor may be a central processing unit CPU or an Application Specific Integrated Circuit ASIC or one or more Integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program may be specifically configured to cause the processor to execute the multi-layer mesh performance analysis processing method in any of the above-described method embodiments. For specific implementation of each step in the program, reference may be made to corresponding descriptions in corresponding steps and units in the foregoing multi-layer network performance analysis processing method embodiment, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of embodiments of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best modes of embodiments of the invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed to reflect the intent: that is, the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. Embodiments of the invention may also be implemented as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing embodiments of the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. A multi-layer network performance analysis processing method is characterized by comprising the following steps:
acquiring traffic data of a sector in a multi-layer network, wherein the sector comprises at least two cells;
obtaining an efficiency analysis result of the sector according to the traffic data of the sector;
and determining a capacity problem solution of the sector according to the performance analysis result of the sector.
2. The multi-layer network performance analysis processing method of claim 1, wherein the traffic data includes at least one of:
the number of RRC online users is controlled by radio resources;
a peak value of an actual traffic flow;
equivalent utilization rate.
3. The multi-layer network performance analyzing method of claim 1, wherein obtaining the performance analysis result of the sector according to the traffic data of the sector comprises:
and obtaining an efficiency analysis result of the sector according to the traffic data of the sector and a preset bearing threshold.
4. The method of claim 3, wherein obtaining the performance analysis result of the sector according to the traffic data of the sector and a preset loading threshold comprises:
if the telephone traffic data in the first preset time period of the sector is lower than a bearing threshold corresponding to at least one stage of target networking structure in each stage of target networking structure in the sector, obtaining a first efficiency analysis result for dismantling a cell in the sector, wherein the sector comprises the multi-stage target networking structure, and each stage of networking structure corresponds to one bearing threshold;
if the telephone traffic data in the first preset time period of the sector is lower than the bearing threshold corresponding to any level of target networking structure in all levels of target networking structures in the sector, obtaining a second efficiency analysis result of dispatching the sector cell;
if the telephone traffic data in at least two continuous second preset time periods of the sector is lower than a bearing threshold corresponding to any level of target networking structure in all levels of target networking structures in the sector, obtaining a third performance analysis result for closing the sector cell; the duration of the second preset time period is less than the duration of the first preset time period;
otherwise, a fourth performance analysis result of reserving the sector is obtained.
5. The multi-layer network performance analyzing processing method of claim 4, wherein determining the solution of the capacity problem of the sector according to the performance analysis result of the sector comprises:
determining a capacity problem solution of the sector according to at least one of the first, second, third and fourth performance analysis results; or
Determining the portrait label of the sector according to the first, second, third and fourth performance analysis results and at least one scene label; determining a capacity problem solution for the sector based on the portrait label.
6. The multi-layer mesh performance analysis processing method of claim 5, wherein the scenario tag comprises: at least one of a high-load scene tag, an important scene identification tag, and a user perception analysis tag.
7. The multi-layer network performance analyzing and processing method according to claim 4 or 5, wherein the sectors in the multi-layer network satisfy at least one of the following conditions:
the deviation of the azimuth angle of each cell is less than or equal to a preset value;
no FDD900 cell;
including at least one of the F2, A, D frequency bands.
8. A multi-layer mesh performance analysis processing apparatus, comprising:
a first obtaining module, configured to obtain traffic data of a sector in a multi-layer network, where the sector includes at least two cells;
the second acquisition module is used for acquiring the efficiency analysis result of the sector according to the telephone traffic data of the sector;
and the processing module is used for determining a capacity problem solution of the sector according to the efficiency analysis result of the sector.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the multi-layer network performance analysis processing method according to any one of claims 1-7.
10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the multi-layer mesh performance analysis processing method according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116074936A (en) * | 2023-03-06 | 2023-05-05 | 广东云山能源科技有限公司 | Communication base station energy saving method and system based on decision tree |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116074936A (en) * | 2023-03-06 | 2023-05-05 | 广东云山能源科技有限公司 | Communication base station energy saving method and system based on decision tree |
| CN116074936B (en) * | 2023-03-06 | 2023-06-13 | 广东云山能源科技有限公司 | Communication base station energy saving method and system based on decision tree |
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