CN107306406B - Automatic neighbor cell optimization method and device - Google Patents
Automatic neighbor cell optimization method and device Download PDFInfo
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- CN107306406B CN107306406B CN201610240483.1A CN201610240483A CN107306406B CN 107306406 B CN107306406 B CN 107306406B CN 201610240483 A CN201610240483 A CN 201610240483A CN 107306406 B CN107306406 B CN 107306406B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
Abstract
The embodiment of the invention discloses an automatic neighbor cell optimization method, which comprises the following steps: receiving a data acquisition instruction; acquiring parameter information required by adjacent cell switching among the first network, the second network and the third network according to the data acquisition instruction; classifying and recombining the parameter information to obtain classified and recombined parameter information; and analyzing the data in the adjacent cell switching to be optimized, and restoring the data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization. The embodiment of the invention also discloses an automatic neighbor cell optimization device.
Description
Technical Field
The present invention relates to a cell management technology in wireless communication, and in particular, to a method and an apparatus for automatically optimizing a neighboring cell.
Background
With the rapid expansion of the fourth generation (4G) network scale, a large number of Long Term Evolution (LTE) newly-built base stations enter the network, the base station growth rate exceeds several times of the past year, and the amount of data switched between networks in the network is greatly increased, especially the increase of the data switched between the Global System for Mobile Communication (GSM)/Time Division-Synchronous Code Division Multiple Access (TD-SCDMA)/LTE three networks reaches millions, and the network management of the three networks is not connected, so that the situation of abnormal switching is very easy to occur in daily network optimization.
The existing method for solving the switching abnormity switches data through manual planning and analysis of a network layer, but the method needs a large amount of manual operation in the execution process; moreover, because the information amount of the network layer is huge, the parameters change frequently, the layer is not updated timely, and the data among the networks are not communicated with each other, the data optimization is finally completed through field test, planning and scheme implementation after the switching is found to be abnormal, the process needs 1 to 2 days, and the switching relation of the current network may change in the period of time, so that the optimization is invalid or even worsened.
Therefore, the existing method for solving the switching abnormity has the defects of complicated steps and poor timeliness in the process of realizing data optimization.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention are expected to provide a method and an apparatus for automatically optimizing a neighboring cell, which can automatically repair data having problems in neighboring cell switching and improve timeliness.
The technical scheme of the invention is realized as follows:
the embodiment of the invention provides an automatic neighbor cell optimization method, which comprises the following steps:
receiving a data acquisition instruction;
acquiring parameter information required by adjacent cell switching among the first network, the second network and the third network according to the data acquisition instruction;
classifying and recombining the parameter information to obtain classified and recombined parameter information;
and analyzing the data in the adjacent cell switching to be optimized, and restoring the data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization.
In the above scheme, the method further comprises:
and outputting self-adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at preset time intervals.
In the foregoing scheme, analyzing the data in the neighbor cell handover to be optimized, and repairing the data having a problem in the neighbor cell handover to be optimized according to the script generated by the classified and recombined parameter information includes:
and carrying out consistency check on the data in the neighbor cell switching to be optimized, wherein the consistency check comprises the following steps: checking the single side of the adjacent cell, checking the consistency of the frequency point and/or checking the consistency of the data of the internal cell and the external cell;
comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching;
and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
In the above scheme, the data optimization scheme includes: the inconsistent data is supplemented and/or modified.
In the foregoing solution, before the receiving a data acquisition instruction, where the data acquisition instruction is used to instruct to acquire parameter information required for switching between neighboring cells of a first network, a second network, and a third network, the method further includes:
analyzing the switching relation, and determining the parameter information required by the adjacent cell switching among the first network, the second network and the third network according to the switching relation.
The embodiment of the present invention further provides an apparatus for automatically optimizing a neighboring cell, where the apparatus includes:
the receiving module is used for receiving a data acquisition instruction;
the acquisition module is used for acquiring parameter information required by adjacent cell switching among the first network, the second network and the third network according to the data acquisition instruction;
the classification recombination module is used for classifying and recombining the parameter information to obtain classified and recombined parameter information;
and the processing module is used for analyzing the data in the adjacent cell switching to be optimized, and restoring the data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization.
In the above scheme, the apparatus further comprises:
and the output module is used for outputting the self-adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at intervals of preset time.
In the foregoing solution, the processing module is specifically configured to:
and carrying out consistency check on the data in the neighbor cell switching to be optimized, wherein the consistency check comprises the following steps: checking the single side of the adjacent cell, checking the consistency of the frequency point and/or checking the consistency of the data of the internal cell and the external cell;
comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching;
and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
In the above scheme, the data optimization scheme includes: the inconsistent data is supplemented and/or modified.
In the above scheme, the apparatus further comprises:
and the analysis module is used for analyzing the switching relation and determining the parameter information required by the adjacent cell switching among the first network, the second network and the third network according to the switching relation.
The method and the device for automatically optimizing the adjacent cell provided by the embodiment of the invention collect parameter information required by adjacent cell switching among a first network, a second network and a third network according to a data collection instruction by receiving the data collection instruction, wherein the parameter information comprises the following steps: switching relations, key parameters and measuring frequency points; then, classifying and recombining the parameter information to obtain classified and recombined parameter information; and when data in the neighbor cell switching to be optimized is analyzed, generating a script according to the classified and recombined parameter information, executing the script to repair the data with problems in the neighbor cell switching to be optimized, and completing the neighbor cell optimization. Therefore, data with problems in neighbor cell switching can be automatically repaired according to the classified and recombined parameter information obtained by classifying and recombining the collected parameter information required by neighbor cell switching of each network, and timeliness is improved.
Drawings
Fig. 1 is a schematic flow chart of a first embodiment of an automatic neighbor cell optimization method provided by the present invention;
FIG. 2 is a schematic diagram of a processing procedure of a three-network one-key command switching optimization provided by the present invention;
fig. 3 is a schematic flow chart of a second embodiment of an automatic neighbor cell optimization method provided by the present invention;
FIG. 4 is a schematic diagram of a self-adaptive optimization process provided by the present invention;
fig. 5 is a schematic flow chart of a third embodiment of a method for automatically optimizing a neighboring cell according to the present invention;
fig. 6 is a schematic flowchart of a fourth embodiment of a method for automatically optimizing a neighboring cell according to the present invention;
fig. 7 is a schematic structural diagram of a first embodiment of an automatic neighbor cell optimization apparatus provided in the present invention;
fig. 8 is a schematic structural diagram of a second embodiment of an automatic neighbor cell optimization apparatus provided in the present invention;
fig. 9 is a schematic structural diagram of a third embodiment of an automatic neighbor cell optimization apparatus provided in the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The automatic neighbor optimization method of the embodiment of the invention can be used for but is not limited to be applicable to three networks: the switching in and among LTE networks of GSM, TD-SCDMA technology and general mobile communication technology is particularly suitable for the scenes with low optimization timeliness caused by excessive switching parameters and failure of three-network management at present.
Fig. 1 is a schematic flow chart of a first embodiment of an automatic neighbor cell optimization method provided by the present invention, and as shown in fig. 1, the automatic neighbor cell optimization method of the present embodiment includes:
step 101: receiving a data acquisition instruction;
in this step, the data acquisition instruction is sent by a background control, and the data acquisition instruction is used to instruct acquisition of parameter information required for neighbor cell handover among the first network, the second network, and the third network, where the first network, the second network, and the third network may refer to three networks of GSM, TD-SCDMA, and LTE, or other heterogeneous networks, hereinafter referred to as "three networks".
Step 102: acquiring parameter information required by adjacent cell switching among a first network, a second network and a third network according to a data acquisition instruction;
in the step, acquiring parameter information required by the switching of all adjacent cells from a three-network manager according to the data acquisition instruction received in the step 101; wherein the parameter information includes: switching relation, key parameters and measuring frequency points. The parameter information is only one listed in the embodiment of the present invention, and can be supplemented in the future according to the extension of the network.
Step 103: and classifying and recombining the parameter information to obtain the classified and recombined parameter information.
In this step, the parameter information collected in step 102 is classified and recombined, according to the data switching principle, key parameters such as the cell global identification code, the master frequency, and the measurement frequency point of GSM, key parameters such as the cell global identification code and the master frequency of TD, and key parameters such as the cell global identification code, the measurement frequency point, and the physical cell identification code of LTE are summarized, classified, and sorted, 47 types of key parameters which do not have default values are sorted out, data collection and sorting are preferentially performed, the default values of the remaining switching parameters are applied, the sorting result is shown in table 1, and table 1 is the extracted switching key parameters. Thus, after classification and recombination, the classified and recombined parameter information is obtained, and can form a parameter information base for comparison in the subsequent analysis of the adjacent cell switching relationship, and in the data acquisition process, the acquired data cannot be frequently switched due to different network managers; and moreover, the problem of overlarge data definition quantity, collection quantity and analysis quantity can be solved through background integration.
TABLE 1
Step 104: and analyzing the data in the adjacent cell switching to be optimized, and restoring the data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization.
In this step, the neighbor cell switching data to be optimized is analyzed and checked, specifically, whether the mutual definitions of the measurement frequency points of the main cell and the neighbor cell in the neighbor cell switching data to be optimized are consistent, whether the definitions of the internal data and the external data are consistent, whether the adjacent relation has contents such as unilateral configuration, etc. is analyzed and checked; comparing and analyzing the parameter information after classification and recombination in the step 103, finding out the definition of the relevant parameter from the parameter information after classification and recombination and generating script information; and finally, performing supplementary definition or modifying the generated script information into consistent data to complete the optimization of the adjacent cell.
For example, if the analysis results in: if the main cell and the adjacent cell lack the definition of the measuring frequency point in the adjacent cell switching, obtaining the definition of the measuring frequency point from the classified and recombined parameter information to generate script information, and executing the generated script information in each network to supplement the definition of the measuring frequency point; if the analysis result is: if the parameter data in the same network or different networks are inconsistent, the setting information corresponding to the parameter is obtained from the classified and recombined parameter information to generate script information, and the generated script information is executed in each network to modify the inconsistent data information.
Fig. 2 is a schematic diagram of a processing procedure of three-network one-key command switching optimization provided by the present invention, and as shown in fig. 2, network managers among GSM, TD and LTE are not intercommunicated, and the one-key command switching optimization procedure for the three networks includes system sampling, integration and warehousing, consistency analysis, modification scheme and execution modification scheme.
In the method for automatically optimizing the neighboring cell of the embodiment, parameter information required in the switching of the neighboring cell is acquired by receiving a data acquisition instruction; and the parameter information after classification and recombination is obtained by classifying and recombining the parameter information, so that a script for repairing data with problems in neighbor cell switching can be generated according to the parameter information after classification and recombination in an analysis stage of neighbor cell switching, and the script is executed to complete neighbor cell optimization. The method aims at the network with a large number of switching parameters, reduces the problems of overlarge data acquisition amount and analysis amount by classifying and recombining the parameter information, completes automatic repair of the data with problems in adjacent cell switching according to the classified and recombined parameter information, and improves timeliness.
Fig. 3 is a flowchart illustrating a second embodiment of the method for automatically optimizing a neighboring cell according to the present invention, as shown in fig. 3, on the basis of the first embodiment, the method for automatically optimizing a neighboring cell according to the present embodiment further includes:
step 105: and outputting self-adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at preset time intervals.
After the existing cell switching relationship is optimized, whether the optimization works or not needs to be verified through field test and collection results. However, problems are not found timely enough due to the fact that data acquisition time is too long. For such a situation, in this embodiment, real-time performance data tracking is adopted, that is, historical performance indexes in the same period are compared based on the adjusted performance index data, and the relevant data of the base station is combined as follows: and outputting self-adaptive optimization parameters for the optimized switching data at preset time intervals according to a performance fluctuation algorithm by using the antenna information, the adjacent relation information and the optimization parameter information of each cell.
The preset time can be set to be N minutes or N hours, wherein N is a natural number and is specifically set according to the current network performance and the user requirement; for example, the real-time adaptive optimization parameters are automatically output according to the performance data within 15 minutes after the cutting is completed and the performance change of 15 minutes before the cutting according to a performance fluctuation algorithm, wherein the cutting refers to the operation of the line and the equipment in use, namely the optimization operation in the embodiment.
In the embodiment, through a performance fluctuation algorithm, a suggested optimization scheme is automatically analyzed and provided, network optimization is rapidly completed, and customer perception is improved.
Fig. 4 is a schematic diagram of a self-adaptive optimization process provided by the present invention, and as shown in fig. 4, it is analyzed whether performance indexes fluctuate during busy hours of the same proportion for performance data optimized for 15 minutes; if the fluctuation exists, analyzing the switching fluctuation reason and adaptively optimizing the parameter result, and if the fluctuation does not exist, maintaining the existing parameters unchanged; and finally, performing field test and rechecking.
Fig. 5 is a schematic flowchart of a third embodiment of the method for automatically optimizing a neighboring cell according to the present invention, and as shown in fig. 5, on the basis of the third embodiment, the analyzing data in the switching of the neighboring cell to be optimized, and repairing the data that has a problem in the switching of the neighboring cell to be optimized according to the script generated by the classified and recombined parameter information includes:
step 201: carrying out consistency check on data in the neighbor cell switching to be optimized;
here, the consistency check includes: the method comprises the following steps of neighbor cell unilateral inspection, frequency point consistency inspection and/or internal and external cell data consistency inspection.
In the checking phase, various consistency checking contents can be configured, such as: the consistency check of the embodiment is only one listed scheme, and the content of the consistency check can be added as needed in practice. And according to the selected consistency analysis logic, obtaining the consistency check result: for example, the frequency point definition is lacked, the data of the internal and external cells are inconsistent, and the like.
Step 202: and comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching.
In this step, according to the result of the consistency check in step 201, and by comparing the parameter information obtained in step 103 with the parameter information after the classification and recombination, a data optimization scheme in the neighbor cell switching is generated: for the part with missing switching parameters, obtaining the definition of the relevant parameters from the classified and recombined parameter information and supplementing the definition in each network; and for the part with inconsistent data, relevant parameter data are obtained from the classified and recombined parameter information to modify inconsistent data information in the same network or different networks.
Step 203: and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
In this step, according to the data optimization scheme in step 202, a batch script is generated, in which various parameters are defined in batch, and in a network in which data needs to be additionally defined and modified, a corresponding script is executed, thereby completing the automatic optimization of the neighboring cell.
The automatic neighbor optimization method of this embodiment replaces the conventional manual positioning and interface-by-interface adjustment method (data definition is performed by interface triggering background instructions), skips the interface triggering instruction step, directly performs overall analysis on all switching data through the parameter information base, obtains relevant parameters from the parameter information base for the part with missing parameters, generates batch processing scripts, and executes corresponding scripts in the network to be optimized to complete automatic neighbor optimization. According to the method, the instruction data adjusting method is provided, the instruction related to operation is directly generated under the condition that operation is not performed through a system interface, instruction adjustment is performed through batch processing work, the optimization speed is greatly improved, and the effect of improving timeliness when large-range data of the whole network are inspected is particularly remarkable.
Further, on the basis of the above embodiment, the data optimization scheme includes: the inconsistent data is supplemented and/or modified.
Specifically, the data optimization scheme includes: either supplemental defining and modifying the inconsistent data or supplemental defining and modifying the inconsistent data. The supplementary definition is supplementary adjacent region relation definition, measurement frequency point definition and the like, and the modification of inconsistent data is modification of inconsistent switching parameter data, modification of frequency points and the like in the same network or different networks.
Fig. 6 is a flowchart of a fourth embodiment of the method for automatically optimizing a neighboring cell according to the present invention, as shown in fig. 6, on the basis of the foregoing embodiment, before step 101, the method further includes:
step 1011: and analyzing the switching relation, and determining parameter information required by the adjacent cell switching among the first network, the second network and the third network according to the switching relation.
Specifically, the switching relationship is analyzed before the parameter information required by the adjacent cell switching is collected, and the parameter information required by the three-network adjacent cell switching is determined according to the switching relationship. By means of sorting and analyzing the switching relation among the three networks, the current switching mode in the three networks is uniformly carried out through the cell switching mode, and the data definition modes are consistent. However, the inter-network handover method includes reselection and handover, and the data definitions of the two methods are different. The relationship is deeply analyzed, and the parameter relationship needing to be intensively checked in various switching relationships can be obtained. Table 2 is a three-network handover key parameter table, and as shown in table 2, table 2 shows a parameter relationship that needs to be checked when GSM/TD/LTE performs intra-network handover and inter-network handover.
In the embodiment, through analysis of the switching relationship, data required for analyzing the switching relationship is determined, the analysis range is greatly reduced, then the command is sent to the three-network manager through background control to obtain parameter information required by switching of all the adjacent cells, and then warehousing and sorting are carried out, so that the time consumption of manual access is greatly reduced, and the efficiency and the accuracy of making the switching relationship are improved.
TABLE 2
The neighbor cell automatic optimization method of the embodiment of the invention is applied to carry out optimization test on the E-ZLW base station of a Kyoto commerce and trade city in Guangzhou, and the process is as follows:
1. through daily tests, the success rate of sinking of the LTE base station ' Kai commercial and trade city E-ZLW in Guangzhou is low, data abnormality when the 4G voice falls back to 2G is suspected, and data analysis is carried out on the ' Kai commercial and trade city E-ZLW ' in Guangzhou according to the analysis logic of ' consistency of data switching between networks ';
2. and analyzing voice fallback data of the Kjeldahl trade city E-ZLW in Guangzhou and the Kjeldahl trade city N in the GSM co-sited site by combining the obtained parameter information base, wherein the analysis content comprises the following steps:
1) the measurement frequency points of the main cell and the adjacent cell are mutually defined to be consistent;
2) internal and external data definition consistency;
3) whether the main cell and the adjacent cell have the definitions of different color codes with the same main frequency or not;
4) whether the adjacent relation has unilateral configuration or not;
5) other key parameters;
3. by analyzing the obtained inspection result, the dominant frequency of the kaikagawa N in the GSM co-site is found to be 18, and any dominant frequency of the LTE site is not defined as a measurement frequency point. And no GSM switching measurement frequency points in the LTE site 'Kai trade city E-ZLW in Guangzhou' are defined as 18 measurement frequency points. Therefore, the analysis result can confirm that the voice switching on the 4G equipment fails because no definition is complete on the switching data of the GSM equipment and the LTE equipment in the station;
4. and according to the generated batch processing script, after the command is verified to be correct, the batch processing script is executed on the corresponding network element to repair the data, the data is acquired and analyzed again, and the consistency of the analysis result is complete. And finally, observing the switching performance and the field test call completing rate to recover to normal.
Fig. 7 is a schematic structural diagram of a first embodiment of an automatic neighbor cell optimization apparatus provided in the present invention; as shown in fig. 7, the apparatus includes:
the receiving module 11 is used for receiving a data acquisition instruction;
the acquisition module 12 is configured to acquire parameter information required for neighbor cell switching among the first network, the second network, and the third network according to the data acquisition instruction;
a classification and recombination module 13, configured to perform classification and recombination on the parameter information to obtain classified and recombined parameter information;
and the processing module 14 is configured to analyze data in the neighboring cell handover to be optimized, and repair data having a problem in the neighboring cell handover to be optimized according to the script generated by the classified and recombined parameter information, so as to complete neighboring cell optimization.
In the automatic neighbor cell optimization device of this embodiment, the receiving module receives the data acquisition instruction, the acquisition module acquires parameter information required in neighbor cell switching, and the classification and recombination module performs classification and recombination on the parameter information to obtain the parameter information after classification and recombination, so that in an analysis stage of neighbor cell switching, the processing module generates a script for repairing data with problems in neighbor cell switching according to the parameter information after classification and recombination, and executes the script to complete neighbor cell optimization. The device reduces the problems of excessive data acquisition amount and analysis amount by classifying and recombining parameter information aiming at a network with a large number of switching parameters, completes automatic repair of data with problems in neighbor switching according to the classified and recombined parameter information, and improves timeliness.
Fig. 8 is a schematic structural diagram of a second embodiment of an automatic neighbor cell optimization apparatus provided in the present invention; as shown in fig. 8, on the basis of the above embodiment, the apparatus further includes:
and the output module 21 is configured to output the adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at preset time intervals.
The neighboring cell automatic optimization apparatus provided in this embodiment is an embodiment of an apparatus corresponding to the neighboring cell automatic optimization method shown in fig. 3, and its principle and structure are similar, and are not described herein again.
On the basis of the foregoing embodiment, the processing module 14 is specifically configured to:
and carrying out consistency check on the data in the neighbor cell switching to be optimized, wherein the consistency check comprises the following steps: checking the single side of the adjacent cell, checking the consistency of the frequency point and/or checking the consistency of the data of the internal cell and the external cell;
comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching;
and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
The neighboring cell automatic optimization apparatus provided in this embodiment is an embodiment of an apparatus corresponding to the neighboring cell automatic optimization method shown in fig. 5, and its principle and structure are similar, and are not described herein again.
Further, the data optimization scheme includes: the inconsistent data is supplemented and/or modified.
Fig. 9 is a schematic structural diagram of a third embodiment of an automatic neighbor cell optimization apparatus provided in the present invention; as shown in fig. 9, on the basis of the above embodiment, the apparatus further includes:
an analysis module 31, configured to analyze a handover relationship, and determine, according to the handover relationship, parameter information required for neighboring cell handover among the first network, the second network, and the third network.
The neighboring cell automatic optimization apparatus provided in this embodiment is an embodiment of an apparatus corresponding to the neighboring cell automatic optimization method shown in fig. 6, and its principle and structure are similar, and are not described herein again.
In practical applications, the receiving module 11, the collecting module 12, the classifying and recombining module 13, the processing module 14, the output module 21, and the analyzing module 31 may be implemented by a Central Processing Unit (CPU), a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like located at a terminal.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
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 (8)
1. A method for neighbor cell automatic optimization, the method comprising:
receiving a data acquisition instruction;
acquiring parameter information required by adjacent cell switching among the first network, the second network and the third network according to the data acquisition instruction;
classifying and recombining the parameter information to obtain classified and recombined parameter information;
analyzing data in the adjacent cell switching to be optimized, and restoring data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization;
analyzing the data in the neighbor cell switching to be optimized, and repairing the data with problems in the neighbor cell switching to be optimized according to the script generated by the classified and recombined parameter information comprises the following steps:
and carrying out consistency check on the data in the neighbor cell switching to be optimized, wherein the consistency check comprises the following steps: checking the single side of the adjacent cell, checking the consistency of the frequency point and/or checking the consistency of the data of the internal cell and the external cell;
comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching;
and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
2. The method of claim 1, further comprising:
and outputting self-adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at preset time intervals.
3. The method of claim 2, wherein the data optimization scheme comprises: the inconsistent data is supplemented and/or modified.
4. The method of claim 3, wherein before receiving the data acquisition instruction, the data acquisition instruction being used to instruct acquisition of parameter information required for handover of the neighboring cell among the first network, the second network, and the third network, the method further comprises:
analyzing the switching relation, and determining the parameter information required by the adjacent cell switching among the first network, the second network and the third network according to the switching relation.
5. An apparatus for neighbor cell automatic optimization, the apparatus comprising:
the receiving module is used for receiving a data acquisition instruction;
the acquisition module is used for acquiring parameter information required by adjacent cell switching among the first network, the second network and the third network according to the data acquisition instruction;
the classification recombination module is used for classifying and recombining the parameter information to obtain classified and recombined parameter information;
the processing module is used for analyzing the data in the adjacent cell switching to be optimized, and restoring the data with problems in the adjacent cell switching to be optimized according to the script generated by the classified and recombined parameter information to complete the adjacent cell optimization;
wherein the processing module is specifically configured to:
and carrying out consistency check on the data in the neighbor cell switching to be optimized, wherein the consistency check comprises the following steps: checking the single side of the adjacent cell, checking the consistency of the frequency point and/or checking the consistency of the data of the internal cell and the external cell;
comparing the result of the consistency check with the classified and recombined parameter information to obtain a data optimization scheme in the neighbor cell switching;
and generating batch processing scripts according to the data optimization scheme, and executing the batch processing scripts.
6. The apparatus of claim 5, further comprising:
and the output module is used for outputting the self-adaptive optimization parameters to the optimized switching data according to a performance fluctuation algorithm at intervals of preset time.
7. The apparatus of claim 6, wherein the data optimization scheme comprises: the inconsistent data is supplemented and/or modified.
8. The apparatus of claim 7, further comprising:
and the analysis module is used for analyzing the switching relation and determining the parameter information required by the adjacent cell switching among the first network, the second network and the third network according to the switching relation.
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| CN102118776B (en) * | 2009-12-31 | 2013-11-20 | 北京亿阳信通科技有限公司 | Verification method of setting accuracy for interoperation of adjacent cells with different communication modes and device |
| EP3070971B1 (en) * | 2013-12-12 | 2018-09-19 | Huawei Technologies Co., Ltd. | Method and device for optimizing neighbour relation |
| EP3076699B1 (en) * | 2013-12-19 | 2019-05-01 | Huawei Technologies Co., Ltd. | Handover parameter optimization method and device |
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