CN115038103A - Intelligent tuning system and method for 5G wireless network parameters - Google Patents
Intelligent tuning system and method for 5G wireless network parameters Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an intelligent tuning system and method for 5G wireless network parameters, and relates to the technical field of 5G network optimization. The data acquisition module is used for acquiring target data of the 5G wireless network; the data analysis processing module screens out a target area with abnormal data; the AI module generates a target optimization scheme; the data analysis processing module intelligently adjusts and optimizes the target area according to the target adjusting and optimizing scheme; if the intelligent tuning is unsuccessful, the work order module distributes the tuning work order to a network optimization personnel terminal, and the change condition of the target data before and after tuning is monitored; and the UI module displays the abnormal target data, the adjusting and optimizing work order processing condition and the target data change condition on a map. The system can automatically determine the target area with abnormal data, and improves the efficiency and accuracy of the tuning process of the 5G wireless network parameters by combining the online intelligent tuning and the mode of automatically dispatching the tuning work order to the corresponding network optimization personnel terminal for online tuning.
Description
Technical Field
The invention relates to the technical field of 5G network optimization, in particular to an intelligent tuning system and method for 5G wireless network parameters.
Background
The wireless network parameters in the 5G mobile communication network refer to parameters related to wireless devices and wireless resources, and the wireless network parameters have a crucial influence on cell coverage in the network, distribution of signaling traffic, service performance of the network and the like, so that the reasonable adjustment of the wireless network parameters is an important component of network optimization of the 5G mobile communication network. The wireless network parameter optimization in the 5G mobile communication network refers to a process of improving communication quality, improving average service performance of the network and improving the utilization rate of equipment by adjusting local or global wireless network parameters in the network according to actual channel characteristics, telephone traffic characteristics and signaling traffic bearing conditions for a running network system.
At present, the existing wireless network parameter tuning system generally only has a parameter query function, does not have the automatic parameter exception discovery and automatic order dispatching function, and depends on the manual analysis of the related data of the wireless network parameters, so that the tuning process of the 5G wireless network parameters has the problems of low efficiency and low accuracy.
Disclosure of Invention
The present invention is directed to solve the problems of the background art, and provides an intelligent tuning system and method for parameters of a 5G wireless network.
The purpose of the invention can be realized by the following technical scheme:
the embodiment of the invention provides an intelligent tuning system for 5G wireless network parameters, which comprises a data acquisition module, a data analysis processing module, an AI module, a work order module and a UI module, wherein the data acquisition module is used for acquiring the parameters of the 5G wireless network;
the data acquisition module is used for acquiring parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
the data analysis processing module is used for analyzing the target data by combining a preset data threshold value and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
the AI module is used for generating a target tuning scheme according to the network distribution condition of the target area and the target data;
the data analysis processing module is also used for intelligently tuning the target area according to the target tuning scheme;
the work order module is used for automatically dispatching the tuning work order to a corresponding network optimization personnel terminal if the intelligent tuning of the data analysis processing module is unsuccessful, and monitoring the target data change condition before and after tuning;
and the UI module is used for displaying the abnormal target data, the processing condition of the tuning work order and the change condition of the target data on a map.
Optionally, the data acquisition module includes a performance data acquisition sub-module and a parameter data acquisition sub-module; the performance data acquisition submodule and the parameter data acquisition submodule both have the functions of automatic complementary acquisition, automatic data verification, acquisition control and acquisition integrity analysis.
Optionally, the data analysis processing module includes a parameter anomaly analysis module and a parameter tuning analysis module; wherein:
the parameter anomaly analysis submodule is used for analyzing and evaluating the target data by combining a preset data threshold and outputting an anomaly list to the AI module; the abnormal list comprises a target area with abnormal data, the target data corresponding to the target area and a network distribution condition;
the parameter tuning sub-module receives the target tuning scheme sent by the AI module and intelligently tunes the target area according to the target tuning scheme;
and if the intelligent tuning is unsuccessful, sending the abnormal clear list to the work order module.
Optionally, the AI module includes a parameter tuning scheme sub-module and a parameter tuning experience library;
the parameter tuning scheme sub-module is used for matching a plurality of pre-selected parameter tuning schemes from the parameter tuning experience base according to the abnormal list and automatically generating the target tuning scheme according to the plurality of pre-selected parameter tuning schemes;
and the parameter tuning experience library is used for recording parameter tuning schemes which are successfully tuned.
Optionally, the work order module includes an automatic order dispatching submodule and a work order monitoring submodule;
the automatic order dispatching submodule has the main functions of work order dispatching, work order circulation and work order closed loop;
the work order monitoring sub-module mainly has the functions of monitoring performance data and parameters of the optimized target area and confirming work order processing conditions.
Optionally, the UI module includes a work order query sub-module, a parameter query sub-module, and a GIS sub-module;
the work order query submodule is used for querying the work order processing condition;
the parameter query submodule is used for realizing the functions of parameter query, parameter exception query and parameter tuning query;
and the GIS submodule is used for constructing a display map of a 5G wireless network coverage area and displaying abnormal target data, tuning work order processing conditions and target data change conditions on the display map.
Optionally, the GIS sub-module is further configured to present the abnormal target data and target data change conditions of the areas on a map by using thermodynamic diagrams.
In a second aspect of the embodiments of the present invention, there is also provided an intelligent tuning method for 5G wireless network parameters, where the method includes:
collecting parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
analyzing the target data by combining a preset data threshold value, and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
generating a tuning scheme according to the network distribution condition of the target area and the target data;
intelligently tuning the target area according to the tuning scheme; if the intelligent tuning is unsuccessful, automatically dispatching the tuning work order to a corresponding network optimization personnel terminal, and monitoring the target data change condition before and after tuning;
and displaying the abnormal target data, the adjusting and optimizing work order processing condition and the target data change condition on a map.
The embodiment of the invention provides an intelligent tuning system for 5G wireless network parameters, which comprises a data acquisition module, a data analysis processing module, an AI module, a work order module and a UI module; the data acquisition module is used for acquiring parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database; the data analysis processing module is used for analyzing the target data by combining a preset data threshold value and screening out a target area with abnormal data in the coverage area of the 5G wireless network; the AI module is used for generating a target optimization scheme according to the network distribution condition of the target area and the target data; the data analysis processing module is also used for intelligently tuning the target area according to the target tuning scheme; the work order module is used for automatically dispatching the optimized work order to the corresponding network optimization personnel terminal if the intelligent optimization of the data analysis processing module is unsuccessful, and monitoring the target data change condition before and after the optimization; and the UI module is used for displaying the abnormal target data, the processing condition of the tuning work order and the change condition of the target data on a map. The system can automatically acquire and analyze target data of a 5G wireless network coverage area, determine a target area with abnormal data, and improve the efficiency and accuracy of the tuning process of 5G wireless network parameters by combining an online intelligent tuning mode and a mode of automatically dispatching a tuning work order to a corresponding network optimization personnel terminal for offline tuning.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a system block diagram of an intelligent tuning system for 5G wireless network parameters according to an embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The embodiment of the invention provides an intelligent tuning system for 5G wireless network parameters. Referring to fig. 1, fig. 1 is a system block diagram of an intelligent tuning system for 5G wireless network parameters according to an embodiment of the present invention. The system comprises a data acquisition module, a data analysis processing module, an AI module, a work order module and a UI module;
the data acquisition module is used for acquiring parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
the data analysis processing module is used for analyzing the target data by combining a preset data threshold value and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
the AI module is used for generating a target tuning scheme according to the network distribution condition of the target area and the target data;
the data analysis processing module is also used for intelligently tuning the target area according to the target tuning scheme;
the work order module is used for automatically dispatching the optimized work order to a corresponding network optimization personnel terminal if the intelligent optimization of the data analysis processing module is unsuccessful, and monitoring the target data change condition before and after the optimization;
and the UI module is used for displaying the abnormal target data, the processing condition of the tuning work order and the change condition of the target data on a map.
The intelligent tuning system for the 5G wireless network parameters, provided by the embodiment of the invention, can automatically acquire and analyze target data of a 5G wireless network coverage area, determine a target area with abnormal data, and improve the efficiency and accuracy of the tuning process of the 5G wireless network parameters by combining an on-line intelligent tuning mode and a mode of automatically dispatching a tuning work order to a corresponding network optimization personnel terminal for on-line tuning.
In an implementation manner, the parameter data may include neighboring cell parameters, PCI, Prach and other basic parameter classes, 5G basic performance parameter classes, interoperation parameter classes, and 5G Feature deployment classes.
Parameters of the neighboring cells: 5-5 missing neighbor cells, 5-4 missing neighbor cells, 4-5 missing neighbor cells (for NSA); 5-5 external middle networking type configuration, 5-4 external PCI confusion, 5-5PCI confusion; and an SCTP link ENDC X2AP between the 4G and the 5 GNSA.
Basic parameter classes such as PCI and Prach: 5G Prach planning; the 5G PCI checks the multiplexing distance.
5G basic performance parameter classes: SR authorization error configuration, a SN adding inhibition function of a 4G anchor point station, SN change inhibition function parameters, a fallback mode modification from blind redirection to measurement-based switching, a timer, intelligent pre-scheduling, layer two parameters, paging parameters, physical resource configuration, NR power parameters, NR random access parameter checking, and packet filtering deployment functions.
Interoperation parameter classes: the system comprises a 4-5G threshold downward detection and mixed mode user strategy, a quick return switch, a full network anchor point station ENDC function switch and an anchoring switching function switch.
5G Feature deployment class: EMLP flat weight, optimal wave beam in access phase, NI bottom-changing function deployment and uplink frequency selection based on SINR.
The performance data may include traffic density, connection number density, air interface delay, energy efficiency, user uplink download rate, spectrum efficiency, 5G network value rate, and the like.
In one implementation, the data threshold value can be set by a technician according to actual conditions, the data analysis processing module analyzes the target data in different time periods and different dates, and determines the target area with abnormal target data after multiple comparisons, so that the accuracy of parameter tuning is ensured.
In one embodiment, the data acquisition module comprises a performance data acquisition sub-module and a parameter data acquisition sub-module; the performance data acquisition submodule and the parameter data acquisition submodule both have the functions of automatic complementary acquisition, automatic data verification, acquisition control and acquisition integrity analysis.
In one implementation, the data acquisition module can use an automatic complementary acquisition mechanism during data acquisition, and after the complementary acquisition of data is completed, subsequent tasks can be directly started, so that the integrity of data is ensured, the error rate of identification is reduced, and the tuning accuracy is improved.
In one embodiment, the data analysis processing module comprises a parameter abnormity analysis module and a parameter tuning analysis module; wherein:
the parameter anomaly analysis submodule is used for analyzing and evaluating the target data by combining a preset data threshold and outputting an anomaly list to the AI module; the abnormal list comprises a target area with abnormal data, the target data corresponding to the target area and a network distribution condition;
the parameter tuning sub-module receives the target tuning scheme sent by the AI module and intelligently tunes the target area according to the target tuning scheme;
and if the intelligent tuning is unsuccessful, sending the abnormal clear list to the work order module.
In one embodiment, the AI module comprises a parameter tuning scheme sub-module and a parameter tuning experience library;
the parameter tuning scheme sub-module is used for matching a plurality of pre-selected parameter tuning schemes from the parameter tuning experience base according to the abnormal list and automatically generating the target tuning scheme according to the plurality of pre-selected parameter tuning schemes;
and the parameter tuning experience library is used for recording parameter tuning schemes which are successfully tuned.
In one implementation mode, the parameter tuning experience base records cases of successful historical tuning, when similar exceptions occur, the system can directly match the historical experience of the parameter tuning experience base according to the conditions of a target area, and directly provides a parameter tuning scheme, so that the output speed of the parameter tuning scheme is greatly improved, and the workload of manual operation is greatly reduced.
In one embodiment, the work order module comprises an automatic order dispatching submodule and a work order monitoring submodule;
the automatic order dispatching submodule mainly has the functions of work order dispatching, work order circulation and work order closed loop;
the work order monitoring sub-module mainly has the functions of monitoring performance data and parameters of the optimized target area and confirming work order processing conditions.
In one implementation, after the parameters are adjusted, the work order monitoring submodule can continuously track the parameter data and the performance data of the target area, so that the parameter tuning process is ensured to optimize the network, and the effectiveness of parameter tuning is ensured.
In one embodiment, the UI module comprises a work order query submodule, a parameter query submodule and a GIS submodule;
the work order query submodule is used for querying the work order processing condition;
the parameter query submodule is used for realizing the functions of parameter query, parameter exception query, parameter tuning query and the like;
and the GIS submodule is used for constructing a display map of a 5G wireless network coverage area and displaying abnormal target data, tuning work order processing conditions and target data change conditions on the display map.
In one embodiment, the GIS sub-module is further configured to present the abnormal target data and target data changes of the areas on a map using thermodynamic diagrams.
The embodiment of the invention also provides an intelligent tuning method aiming at the 5G wireless network parameters based on the same inventive concept. The method comprises the following steps:
collecting parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
analyzing the target data by combining a preset data threshold value, and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
generating a tuning scheme according to the network distribution condition of the target area and the target data;
intelligently tuning the target area according to the tuning scheme; if the intelligent tuning is unsuccessful, automatically dispatching the tuning work order to a corresponding network optimization personnel terminal, and monitoring the target data change condition before and after tuning;
and displaying the abnormal target data, the adjusting and optimizing work order processing condition and the target data change condition on a map.
Based on the intelligent tuning method for the 5G wireless network parameters, provided by the embodiment of the invention, the target data of the 5G wireless network coverage area can be automatically acquired and analyzed, the target area with abnormal data is determined, and the efficiency and the accuracy of the tuning process of the 5G wireless network parameters are improved by combining the online intelligent tuning and the mode of automatically dispatching the tuning work order to the corresponding network optimization personnel terminal for online tuning.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (8)
1. An intelligent tuning system for 5G wireless network parameters is characterized by comprising a data acquisition module, a data analysis processing module, an AI module, a work order module and a UI module;
the data acquisition module is used for acquiring parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
the data analysis processing module is used for analyzing the target data by combining a preset data threshold value and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
the AI module is used for generating a target tuning scheme according to the network distribution condition of the target area and the target data;
the data analysis processing module is also used for intelligently tuning the target area according to the target tuning scheme;
the work order module is used for automatically dispatching the optimized work order to a corresponding network optimization personnel terminal if the intelligent optimization of the data analysis processing module is unsuccessful, and monitoring the target data change condition before and after the optimization;
and the UI module is used for displaying the abnormal target data, the processing condition of the tuning and optimizing work order and the change condition of the target data on a map.
2. The intelligent tuning system for 5G wireless network parameters of claim 1, wherein the data acquisition module comprises a performance data acquisition sub-module and a parameter data acquisition sub-module; the performance data acquisition submodule and the parameter data acquisition submodule both have the functions of automatic complementary acquisition, automatic data verification, acquisition control and acquisition integrity analysis.
3. The intelligent tuning system for the parameters of the 5G wireless network according to claim 1, wherein the data analysis processing module comprises a parameter anomaly analysis module and a parameter tuning analysis module; wherein:
the parameter anomaly analysis submodule is used for analyzing and evaluating the target data by combining a preset data threshold and outputting an anomaly list to the AI module; the abnormal list comprises a target area with abnormal data, the target data corresponding to the target area and a network distribution condition;
the parameter tuning sub-module receives the target tuning scheme sent by the AI module and intelligently tunes the target area according to the target tuning scheme;
and if the intelligent tuning is unsuccessful, sending the abnormal clear list to the work order module.
4. The intelligent tuning system for 5G wireless network parameters of claim 3, wherein the AI module comprises a parameter tuning scheme sub-module and a parameter tuning experience base;
the parameter tuning scheme sub-module is used for matching a plurality of pre-selected parameter tuning schemes from the parameter tuning experience base according to the abnormal list and automatically generating the target tuning scheme according to the plurality of pre-selected parameter tuning schemes;
and the parameter tuning experience library is used for recording parameter tuning schemes which are successfully tuned.
5. The intelligent tuning system for 5G wireless network parameters of claim 1, wherein the work order module comprises an automatic dispatch submodule and a work order monitoring submodule;
the automatic order dispatching submodule has the main functions of work order dispatching, work order circulation and work order closed loop;
the work order monitoring submodule has the main functions of monitoring performance data and parameters of the optimized target area and confirming work order processing conditions.
6. The intelligent tuning system for 5G wireless network parameters of claim 1, wherein the UI module comprises a work order query submodule, a parameter query submodule and a GIS submodule;
the work order query submodule is used for querying the work order processing condition;
the parameter query submodule is used for realizing the functions of parameter query, parameter exception query and parameter tuning query;
and the GIS submodule is used for constructing a display map of a 5G wireless network coverage area and displaying abnormal target data, tuning work order processing conditions and target data change conditions on the display map.
7. The system of claim 6, wherein the GIS sub-module is further configured to present the abnormal target data and target data changes of each region on a map using thermodynamic diagrams.
8. An intelligent tuning method for 5G wireless network parameters, characterized in that the method comprises:
collecting parameter data and performance data of the 5G wireless network, and storing the parameter data and the performance data as target data in a database;
analyzing the target data by combining a preset data threshold value, and screening out a target area with abnormal data in the coverage area of the 5G wireless network;
generating a tuning scheme according to the network distribution condition of the target area and the target data;
intelligently tuning the target area according to the tuning scheme; if the intelligent tuning is unsuccessful, automatically dispatching the tuning work order to a corresponding network optimization personnel terminal, and monitoring the target data change condition before and after tuning;
and displaying the abnormal target data, the adjusting and optimizing work order processing condition and the target data change condition on a map.
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